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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Although there has been significant improvement in healthcare<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;2</span></a> and a decrease in mortality&#44;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;3&#8211;5</span></a> cardiovascular diseases&#44; with the significant weight of myocardial infarction&#44; continue to be the most common cause of death in Europe<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;6&#8211;8</span></a>&#59; and their burden is increasing in women&#46;<a class="elsevierStyleCrossRefs" href="#bib0135"><span class="elsevierStyleSup">5&#44;9</span></a> Improved healthcare is mainly based on three factors&#58; the implementation and dissemination of coronary reperfusion&#44;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">3</span></a> better myocardial revascularization techniques<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">10</span></a> and the widespread application of guideline-directed medical therapy&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Around 30&#8211;40&#37; of acute myocardial infarctions &#40;AMI&#41; occur in women&#59; ST-segment myocardial infarction &#40;STEMI&#41; is less likely than non-ST-segment myocardial infarction &#40;NSTEMI&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">4</span></a> STEMI is described as increasing exponentially with age in women compared to a linear rate in men&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">3</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Sex differences in AMI are an issue that is continually under debate&#44;<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">11&#44;12</span></a> with conflicting results in the literature&#44;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;7&#44;8&#44;10</span></a> partly due to the heterogeneity of studied populations&#44; including both STEMI and NSTEMI&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;13</span></a> Although comorbidities&#44; complications&#44; and mortality remain higher in women&#44;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a> long-term differences appear to attenuate after adjusted analysis&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;6</span></a> These differences may be related to worse baseline characteristics&#44;<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">8&#44;14</span></a> pathophysiology and treatment disparities<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">4</span></a> in women&#44; but they are not fully understood&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;15&#44;16</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">This matter has raised awareness not only inside the cardiology community with several publications and campaign advertisements&#44;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">17</span></a> but also among the general population&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">7</span></a> Nevertheless&#44; differences still persist&#46;<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">4&#44;17&#44;18</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">In Portugal&#44; cardiovascular diseases are the most common cause of death&#46; They are the most common etiology in women&#44; in contrast to oncologic diseases in men&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">19</span></a> A previous Portuguese study on acute coronary syndromes &#40;ACS&#41; identified differences in treatment and prognosis between sexes&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">5</span></a> Nevertheless&#44; as of the present date and to the best of the authors&#8217; knowledge&#44; the specific situation in Portugal&#44; particularly regarding STEMI&#44; is not known&#46; The authors consider that including only STEMI could help reduce the heterogeneity of the population and eliminate potential confounding factors associated with the spectrum of ACS&#44; particularly in diagnosis and treatment&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Objectives</span><p id="par0030" class="elsevierStylePara elsevierViewall">The purpose of the current analysis is to investigate sex-related differences among patients who have experienced STEMI in Portugal focusing on baseline characteristics&#44; clinical findings&#44; treatment modalities&#44; prognosis and mortality&#46; Based on the literature&#44; the authors expected to find sex-related differences in these patients&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Methods</span><p id="par0035" class="elsevierStylePara elsevierViewall">The Portuguese Registry on Acute Coronary Syndromes &#40;ProACS&#41; was established in 2002&#44; founded by the Portuguese Society of Cardiology and is coordinated by the National Center for Data Collection in Cardiology&#46; This multicenter&#44; continuous&#44; prospective observational national registry is registered at ClinicalTrials&#46;gov &#40;<a href="ctgov:NCT01642329">NCT01642329</a>&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">20</span></a> All Portuguese cardiology departments were invited to participate and consecutively include adult patients who were hospitalized&#46; The inclusion and exclusion criteria were established and published elsewhere&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">20</span></a></p><p id="par0040" class="elsevierStylePara elsevierViewall">By 2016&#44; a total of 49 Portuguese centers had been included &#40;11 university hospitals&#44; 12 hospitals with cardiac surgery and 25 with catheterization laboratories&#41;&#44; distributed across Portugal&#58; North &#40;11 centers&#41;&#44; Central region &#40;12 centers&#41;&#44; South &#40;22 centers&#41; and in the Autonomous Regions of Madeira and the Azores &#40;four centers&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">20</span></a></p><p id="par0045" class="elsevierStylePara elsevierViewall">The authors conducted a retrospective analysis of STEMI patients included in the ProACS between October 2010 and 2022&#46;</p><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Statistical analysis</span><p id="par0050" class="elsevierStylePara elsevierViewall">Continuous variables were presented as mean value<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>standard deviation or median and interquartile range &#40;IQR&#41;&#46; These were compared between groups using independent samples t-test or the Mann&#8211;Whitney U test&#44; based on their distribution&#46; Categorical variables were presented as frequencies and percentages and were compared using the chi-square or Fisher&#39;s exact tests&#44; as appropriate&#46; Separate analyses were made for in-hospital and one-year endpoints&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">The independent predictors of the primary outcome &#40;in-hospital mortality&#41; were assessed by multivariable logistic regression analyses using the stepwise forward method&#46; The Hosmer&#8211;Lemeshow test was used for the calibration of the regression model&#46; The effect of the variables was assessed by estimating the odds ratio &#40;OR&#41; and 95&#37; confidence interval &#40;CI&#41;&#46; Survival analysis was assessed using Cox proportional hazard regression&#44; cumulative incidences of events were estimated by the Kaplan&#8211;Meier method&#44; and the difference was assessed by the log rank test&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">All analyses were performed using SPSS software for Windows&#44; version 29&#46;0&#174;&#46; All p-values were two-sided and were considered significant when &#60;0&#46;05&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Study endpoints</span><p id="par0065" class="elsevierStylePara elsevierViewall">Two cohorts were defined based on sex&#46; Baseline clinical characteristics&#44; in-hospital clinical findings&#44; treatment and outcomes were compared&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">The two co-primary endpoints were in-hospital and one-year mortality&#46; Secondary endpoints consisted of in-hospital complications &#40;congestive heart failure&#44; cardiogenic shock&#44; atrial fibrillation&#44; cardiac arrest&#44; atrioventricular block&#44; sustained ventricular tachycardia &#40;SVT&#41;&#44; mechanical complications&#44; stroke&#44; reinfarction&#44; and major bleeding&#41;&#44; and one-year cardiovascular and non-cardiovascular hospital readmission&#46;</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Results</span><p id="par0075" class="elsevierStylePara elsevierViewall">Between October 2010 and 2022 a total of 14<span class="elsevierStyleHsp" style=""></span>470 STEMI patients were registered on ProACS&#46;</p><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Baseline characteristics</span><p id="par0080" class="elsevierStylePara elsevierViewall">Out of 14<span class="elsevierStyleHsp" style=""></span>470 STEMI patients&#44; 3721 &#40;25&#46;7&#37;&#41; were female with a mean age of 64&#177;13&#46;5 years &#8211; reported in almost the entire population &#40;14<span class="elsevierStyleHsp" style=""></span>465 patients&#41;&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">Patient baseline characteristics are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; Women were older with a worse cardiovascular risk profile&#44; taking into consideration higher rate of high blood pressure &#40;HBP&#41;&#44; dyslipidemia&#44; diabetes&#44; obesity&#44; chronic kidney disease &#40;CKD&#41;&#44; cerebrovascular disease&#44; and heart failure &#40;HF&#41;&#46; Smoking&#44; peripheral arterial disease &#40;PAD&#41;&#44; previous AMI and previous percutaneous coronary intervention &#40;PCI&#41; were more common among men&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">Conversely&#44; women were more previously medicated with clopidogrel&#44; beta blockers&#44; angiotensin-converting enzyme inhibitors &#40;ACEi&#41;&#44; angiotensin receptor blockers &#40;ARB&#41;&#44; calcium channel blockers&#44; mineralocorticoid receptor antagonists &#40;MRA&#41;&#44; and statins&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Clinical findings and treatment</span><p id="par0095" class="elsevierStylePara elsevierViewall">Clinical presentation characteristics and inpatient treatment strategies are shown in <a class="elsevierStyleCrossRefs" href="#tbl0010">Tables 2 and 3</a> and discharge features are shown in <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#46; Chest pain was the most common symptom in both sexes&#46; However&#44; female patients had more atypical presentations&#44; especially dyspnea&#44; a worse clinical profile with a higher Killip class&#44; and worse serum biomarkers&#44; such as elevated creatinine and B-type natriuretic peptide &#40;BNP&#41;&#44; and lower hemoglobin&#46; In fact&#44; women had a higher median calculated global registry of acute coronary events &#40;GRACE&#41; risk score &#40;161 vs&#46; 146&#44; p-value &#60;0&#46;001&#41;&#46; Severely depressed left ventricular ejection fraction &#40;LVEF&#41; was more frequent in women &#40;8&#46;2&#37; vs&#46; 6&#46;4&#37;&#44; p-value &#60;0&#46;001&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">The time from first symptoms to first medical contact &#40;patient delay&#41; was higher among women&#44; approximately 2&#46;6 hours and 2&#46;2 hours in men &#40;median values with p-value &#60;0&#46;001&#41;&#44; as well as system delay &#40;2&#46;9 hours vs&#46; 2&#46;5 hours&#44; p-value &#60;0&#46;001&#41;&#46; Similar trends were observed in the time from first symptoms to revascularization &#40;median values&#58; four hours for male vs&#46; 4&#46;8 hours for female&#44; p-value &#60;0&#46;001&#41;&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">The occurrence of inferior and anterior STEMI&#44; 50&#46;6&#37; and 47&#46;9&#37; respectively&#44; was similar between sexes&#46; The localization of the STEMI was reported in 13<span class="elsevierStyleHsp" style=""></span>174 patients&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">Regarding treatment&#44; coronary angiography &#40;CAG&#41; was performed in 12<span class="elsevierStyleHsp" style=""></span>599 patients &#40;87&#46;5&#37;&#41;&#44; significantly less frequently in women &#40;84&#46;4&#37; vs&#46; 88&#46;5&#37;&#44; p-value &#60;0&#46;001&#41;&#44; and also reperfusion therapy &#40;58&#46;9&#37; vs&#46; 65&#46;8&#37;&#44; p-value&#60;0&#46;001&#41;&#44; including both fibrinolysis and primary angioplasty&#46; Nevertheless&#44; CAG without significant epicardial lesions was more common among women &#40;16&#46;5&#37; vs&#46; 13&#46;3&#37;&#44; p-value &#60;0&#46;001&#41;&#46; The distribution of the most common culprit artery was identical&#44; with left anterior descending &#40;LAD&#41; artery accounting for 44&#37; and the right coronary artery &#40;RCA&#41; for 36&#37; of the total population&#46; The success of revascularization was higher than 90&#37;&#44; and with no differences between sexes in the most common culprit arteries&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">As for medical treatment&#44; statins&#44; aspirin&#44; ticagrelor&#44; ACEi&#47;ARB&#44; and beta blockers were less prescribed in women&#44; with an opposite tendency for the prescription of anticoagulants&#44; nitrates&#44; MRA&#44; diuretics&#44; and inotropes&#46; Although low referral rates for cardiac rehabilitation were observed in the total population&#44; women were referred even less&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Study endpoints</span><p id="par0120" class="elsevierStylePara elsevierViewall">In-hospital mortality was reported in 736 patients &#40;5&#46;2&#37;&#41; &#40;304 females&#44; i&#46;e&#46; 8&#46;5&#37;&#44; vs&#46; 432 males&#44; i&#46;e&#46; 4&#46;1&#37;&#44; p-value&#60;0&#46;001&#41;&#44; and one-year mortality in 1069 patients &#40;7&#46;6&#37;&#41; &#40;413 females&#44; i&#46;e&#46; 11&#46;5&#37;&#44; vs&#46; 656 males&#44; i&#46;e&#46; 6&#46;3&#37;&#44; p-value&#60;0&#46;001&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia><p id="par0125" class="elsevierStylePara elsevierViewall">Women had more one-year non-cardiovascular readmission and in-hospital complications&#44; including congestive HF&#44; shock&#44; mortality&#44; atrial fibrillation&#44; atrioventricular block&#44; mechanical complications&#44; stroke and major bleeding&#46; However&#44; reinfarction&#44; SVT&#44; cardiac arrest&#44; and cardiovascular readmission&#44; did not achieve statistical significance&#44; despite higher rates among women &#40;<a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a>&#41;&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Survival analysis and adjusted analysis</span><p id="par0130" class="elsevierStylePara elsevierViewall">Survival analysis is shown in <a class="elsevierStyleCrossRef" href="#fig0005">Figure 1</a>&#46; Multivariate logistic regression for in-hospital mortality and Cox proportional hazard regression for one-year mortality are shown in <a class="elsevierStyleCrossRefs" href="#tbl0030">Tables 6 and 7</a>&#44; respectively&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0030"></elsevierMultimedia><elsevierMultimedia ident="tbl0035"></elsevierMultimedia><p id="par0135" class="elsevierStylePara elsevierViewall">After adjusted analysis&#44; female sex remained as an independent factor for in-hospital mortality &#40;OR&#61;1&#46;672&#59; 95&#37; CI &#91;1&#46;078&#8211;2&#46;593&#93;&#59; p&#61;0&#46;022&#41; but not for one-year mortality&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Regarding in-hospital mortality&#44; several statistically significant variables in univariate analysis &#8211; including baseline characteristics such as HBP&#44; diabetes&#44; angina&#44; VHD&#44; HF&#44; history of smoking&#44; cerebrovascular disease&#44; PAD&#44; CKD&#44; cancer&#44; chronic obstructive pulmonary disease&#44; clinical findings with GRACE risk score and STEMI localization&#44; as well as medication use both prior to and during hospitalization and angiographic characteristics like multivessel disease&#44; culprit artery&#44; and time to reperfusion &#8211; were incorporated into the regression model&#46; Likewise&#44; the regression model for one-year mortality included HBP&#44; VHD&#44; PAD&#44; CKD&#44; cancer&#44; prior&#44; inpatient and outpatient medications&#44; the use of PCI&#44; angiographic characteristics &#40;multivessel disease&#41;&#44; and in-hospital complications&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">GRACE risk score&#44; inotropes and LVEF lower than 30&#37; were the most important independent predictors for in-hospital mortality&#46; Guideline-directed medical therapy was associated with a reduced risk of in-hospital mortality&#46; Moreover&#44; older age&#44; in-hospital complications&#44; worse clinical profiles at admission&#44; including GRACE risk score&#44; and lower LVEF were independent predictors for one-year mortality&#46;</p></span></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Discussion</span><p id="par0150" class="elsevierStylePara elsevierViewall">Approximately one-quarter of our population was female&#44; consistent with the underrepresentation of women in clinical studies regarding ACS&#46;<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">6&#44;9&#44;15&#44;21</span></a></p><p id="par0155" class="elsevierStylePara elsevierViewall">Similar to other European registries &#8211; such as in Estonia&#44; Hungary&#44; Norway&#44; Sweden and Vienna &#8211; and to other studies&#44;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;3&#44;6&#8211;8&#44;10&#44;16</span></a> women were older and had a higher frequency of several cardiovascular risk factors&#46; Coronary artery disease appears to be age-dependent in women&#44; especially occurring after menopause<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">6</span></a> and typically five to 10 years after men&#44;<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">6&#44;21</span></a> due to the protective effects of estrogen&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">21</span></a> Moreover&#44; these risk factors appear to have a more unfavorable role in women &#8211; for example&#44; the OR of AMI in diabetic women is higher compared to men &#40;4&#46;26 vs&#46; 2&#46;67&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">19</span></a> Unassessed comorbidities&#44; such as depression&#44;<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">13&#44;21</span></a> anxiety and stress<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">21</span></a> may be related to worse outcomes&#46; The prevalence of depression after an AMI is estimated to be 20&#37; and doubles in women compared to men&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">12</span></a> A study found higher early complication rates in patients with anxiety or depression and proposes the use of screening tools to manage this comorbidity better&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">12</span></a> These data probably justify the inclusion of these new variables in future registries&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">Chest pain is the most common symptom of acute ACS&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">11</span></a> Nevertheless&#44; atypical symptoms appear to be more common among women&#44;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;7&#44;21</span></a> in accordance with the present study&#44; which is an alarming feature that can lead to misdiagnosis and undertreatment&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a> Furthermore&#44; women appear to wait longer before seeking healthcare<a class="elsevierStyleCrossRefs" href="#bib0125"><span class="elsevierStyleSup">3&#44;7&#44;11&#44;13&#44;16&#44;17</span></a>&#59; this was also observed in the present study&#46; Reducing this delay may have potential benefits on mortality and morbidity&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">3</span></a> In our analysis&#44; despite a higher prevalence of obesity&#44; BNP levels in women were twice as high as those in men&#44; probably corroborating a delayed and worse clinical presentation&#44; as well as the presence of other comorbidities known to increase BNP levels &#40;anemia&#44; CKD&#41;&#46; Awareness around clinicians should be raised&#44; and effective educational campaigns targeting the general population should address this issue&#46;</p><p id="par0165" class="elsevierStylePara elsevierViewall">The management of STEMI differed based on sex<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;6&#44;7&#44;16</span></a>&#59; women underwent CAG&#44; PCI&#44; and guideline-directed medical therapy less frequently&#46; Accordingly&#44; a study found lower prescription of ticagrelor and prasugrel in women&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">22</span></a> Lower prescription of dual antiplatelet &#40;DAPT&#41; therapy could be explained by low adherence to guideline recommendations in conservative cases and also due to higher prescription of oral anticoagulants<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a>&#59; this was presumed in the current study due to the higher frequency of atrial fibrillation and anticoagulation at discharge&#46; While the rate of major bleeding in our population was low&#44; concerns about higher bleeding risk in women may also contribute to lower adherence to DAPT&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;22</span></a> Thus&#44; these differences may be attributed to older age and frailty&#44;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a> which is consistent with our population of frailer women&#46; This characteristic was&#44; however&#44; inferred through other features&#46;</p><p id="par0170" class="elsevierStylePara elsevierViewall">In another recent study among patients with ACS&#44; similar tendencies were observed with less guideline-directed therapy during both prehospital and hospital care in women&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">11</span></a> It is suggested that this difference is greater in prehospital care&#44;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">11</span></a> which is a parameter that was not evaluated in our study&#46; Ours reveals differences in discharge medications that could be partly explained by increased comorbidities in women&#46; Nevertheless&#44; clinicians should be aware of these differences in order to prescribe optimized medical therapy and individualize treatment regardless of the patient&#39;s sex&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">On the other hand&#44; the lower rates of PCI in our study may be partially explained by the higher number of normal CAG findings in women&#44; while the success of PCI for the most common culprit artery was similar&#44; suggesting that equivalent treatment was offered in cases that underwent PCI&#46; Myocardial infarction with non-obstructive coronary arteries &#40;MINOCA&#41; is a heterogeneous entity more frequently found in women and associated with a higher risk of cardiovascular events<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">19</span></a> that should be properly addressed&#46; However&#44; as ProACS does not collect information regarding MINOCA&#44; this analysis could not be performed in the present study&#46;</p><p id="par0180" class="elsevierStylePara elsevierViewall">Our analysis revealed a more significant role of sex in in-hospital mortality&#46; There is consistent evidence that women have higher short-term mortality&#44; while there are conflicting results for long-term mortality&#46;<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">6&#44;7</span></a> In a recent metanalysis&#44; the effect of difference in sex on short-term mortality was significant&#44; in contrast to long-term mortality&#44; even after attenuation with adjusted analysis&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">7</span></a> In contrast&#44; women had higher short and long-term mortality rates in several registries&#44; although both these differences seem to attenuate after adjusted analysis in European countries&#44;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;16</span></a> but not in India&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">9</span></a> The justification for these differences is not known&#44; although frailty<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a> and worse cardiovascular profiles<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">7</span></a> may play a role&#46;</p><p id="par0185" class="elsevierStylePara elsevierViewall">An international study regarding thirty-day mortality found statistically higher mortality in women after adjusted analysis but that these differences were stronger in younger patients&#44; and not related to treatment variations&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">13</span></a> Other studies in younger women had similar results&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">21</span></a> Conversely&#44; a study focusing on differences in STEMI patients who underwent PCI&#44; did not find differences in thirty-day and one-year mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">10</span></a></p><p id="par0190" class="elsevierStylePara elsevierViewall">Most of these studies are based on registries and observational data and one-year follow-up&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">6</span></a> A subanalysis from the EXAMINATION-EXTENDED trial&#44; with a 10-year follow-up&#44; encountered a higher incidence of all-cause and cardiac death in women&#46; After adjusted analysis of its primary endpoint&#44; a composite of all-cause death&#44; myocardial infarction and revascularization&#44; sex was not a predictor of events&#44; while age was the most important one&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">6</span></a> The authors suggest that HF and cardiogenic shock may lead to worse outcomes in women&#44; as they are related to higher in-hospital and thirty-day mortality&#44;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">6</span></a> similar to our findings&#46; Other complications&#44; including bleeding and mechanical complications were also reported as more common among women&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">7</span></a></p><p id="par0195" class="elsevierStylePara elsevierViewall">In our analysis&#44; lower LVEF was associated with mortality&#44; which is similar to previous studies in which LVEF was an independent predictor of in-hospital complications&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">12</span></a> On the other hand&#44; with regard to noncardiac comorbidities and death&#44;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">6</span></a> the delay in seeking medical observation and in diagnosis&#44;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">13</span></a> may play a role in all-cause death&#46; In this context&#44; one study focused on in-hospital STEMI and found there were fewer disparities in baseline characteristics between sexes&#44; although longer times&#44; less guideline-medical therapy in women&#44; and no significant differences in mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">2</span></a></p><p id="par0200" class="elsevierStylePara elsevierViewall">There are several recommendations to improve outcomes in women&#44; including education campaigns for the general population&#44; particularly women&#44; education campaigns for healthcare providers and the implementation of protocols for STEMI management&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">17</span></a> In fact&#44; STEMI management protocols may reduce sex differences&#44;<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">10&#44;14&#44;17</span></a> and one study observed a reduction in thirty-day mortality in women&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">17</span></a> Further research is of utmost importance&#44; and the use of artificial intelligence may help reduce existing bias&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">17</span></a></p><p id="par0205" class="elsevierStylePara elsevierViewall">There are sex-based differences in the pathophysiology of acute myocardial infarction &#40;AMI&#41;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;5&#44;8&#44;13&#44;14</span></a> which may play a role in mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">13</span></a> While plaque rupture and thrombus formation are established mechanisms in men&#44; plaque erosion&#44;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">4</span></a> inflammation&#44; endothelial dysfunction&#44; coronary vasospasm&#44; spontaneous coronary dissection and connective tissue disorders may have a role in women&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a> Furthermore&#44; women have smaller vessels&#44; fewer collaterals and increased vascular stiffness&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">13</span></a> Estrogen may act as a plaque stabilizer&#44; and the small vessel size and higher blood flow may lead to increased endothelial shear stress&#44; thus contributing to plaque erosion&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">4</span></a></p><p id="par0210" class="elsevierStylePara elsevierViewall">Differences in thrombogenicity between sexes may also be a plausible cause related to sex hormones&#59; a study found that women with high thrombus burden in an acute setting had higher cardiovascular mortality compared to men&#46; Moreover&#44; another prospective study found higher clopidogrel resistance in women&#46; High thrombus burden appears to be important in prognosis and may indicate the need for a more aggressive treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">15</span></a> These factors were not accounted for in our study&#46;</p><p id="par0215" class="elsevierStylePara elsevierViewall">Despite the conflicting results&#44; sex-based differences in AMI cannot be denied&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">7</span></a></p><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Study limitations</span><p id="par0220" class="elsevierStylePara elsevierViewall">This study has several limitations&#44; such as its observational and voluntary nature&#44; with the possibility of inaccurate data and residual confounding factors that were not considered&#46; Several noncardiac characteristics&#44; including psychiatric comorbidities and hormone-related issues were not documented&#46; Another concern is the underrepresentation of women&#44; although our numbers were consistent with several previous analyses&#46; Furthermore&#44; missing follow-up data may result in the loss of significant endpoints&#46; Lastly&#44; the generalization of our findings should be made with caution&#44; even within Portugal&#44; as geographical differences in the management of these patients were not evaluated&#46;</p></span></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Conclusion</span><p id="par0225" class="elsevierStylePara elsevierViewall">There are important sex-related differences in Portuguese STEMI patients&#46; Compared with men&#44; women were older and had a worse cardiovascular risk profile&#46; In terms of clinical management&#44; women were less likely to receive reperfusion therapy as well as other important medications with impact on prognosis&#46; In-hospital mortality was higher in women&#46; Nevertheless&#44; this difference disappeared after attenuation analysis at the end of the first year&#46;</p><p id="par0230" class="elsevierStylePara elsevierViewall">According to our results there is room to improve the clinical management of women with STEMI&#46; Efforts should be made toward achieving an equal standard of care&#46; Standardized diagnosis and treatment protocols&#44; as well as education campaigns targeting the general population and clinicians&#44; may help reduce this sex bias&#46; Noncardiac comorbidities should also be accounted for&#46;</p><p id="par0235" class="elsevierStylePara elsevierViewall">For a better understanding of sex differences in STEMI patients&#44; further studies are needed&#44; as they may help to improve medical therapy tailored according to sex and to reduce AMI mortality&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Authors&#8217; contributions</span><p id="par0240" class="elsevierStylePara elsevierViewall">During the preparation of this work the author&#40;s&#41; used ChatGPT 3&#46;5 to correct grammar errors&#46; After using this tool&#47;service&#44; the author&#40;s&#41; reviewed and edited the content as needed and take&#40;s&#41; full responsibility for the content of the publication&#46;</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Ethical approval</span><p id="par0245" class="elsevierStylePara elsevierViewall">The ProACS registry is approved by the Portuguese Data Protection Authority &#40;No&#46; 3140&#47;2010&#41; and registered at ClinicalTrials&#46;gov &#40;<a href="ctgov:NCT01642329">NCT01642329</a>&#41;&#46;</p></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Conflicts of interest</span><p id="par0250" class="elsevierStylePara elsevierViewall">The authors have no conflicts of interest to declare&#46;</p></span></span>"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction and objectives</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Sex differences among patients with acute myocardial infarctions remain a matter of debate&#46; Inequalities in presentation&#44; diagnosis&#44; treatment&#44; and prognosis are frequently observed&#44; contributing to a worse prognosis in women&#46; The aim of this study was to investigate sex-related differences in Portuguese ST-segment elevation myocardial infarction &#40;STEMI&#41; patients&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">The authors conducted a retrospective analysis of STEMI patients included in the Portuguese Registry on Acute Coronary Syndromes&#44; between October 2010 and 2022&#46; The two co-primary endpoints were in-hospital and one-year mortality&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">A total of 14<span class="elsevierStyleHsp" style=""></span>470 STEMI patients were studied&#46; Women were underrepresented with 3721 individuals &#40;25&#46;7&#37;&#41;&#46; They were significantly older &#40;70 vs&#46; 62 years&#44; p&#60;0&#46;001&#41;&#44; with higher prevalence of cardiovascular risk factors&#44; and underwent less frequently coronary angiography &#40;84&#46;4&#37; vs&#46; 88&#46;5&#37;&#44; p&#60;0&#46;001&#41; and guideline-directed medical therapy &#40;e&#46;g&#46;&#44; aspirin 92&#46;5&#37; vs&#46; 95&#46;4&#37;&#44; beta blockers 79&#46;2&#37; vs&#46; 83&#37;&#44; p&#60;0&#46;001&#41;&#46; Furthermore&#44; they experienced more complications&#44; such as congestive heart failure &#40;23&#46;4&#37; vs&#46; 14&#46;6&#37;&#41;&#44; ischemic stroke &#40;47&#37; vs&#46; 40&#37;&#41;&#44; and in-hospital mortality &#40;8&#46;5&#37; vs&#46; 4&#46;1&#37;&#41; &#40;p&#60;0&#46;001 for all comparisons&#41;&#46; Similarly&#44; they presented higher one-year mortality &#40;11&#46;5&#37; vs&#46; 6&#46;3&#37;&#44; p&#60;0&#46;001&#41;&#46; However&#44; after a multivariate analysis testing significant clinical variables&#44; female sex remained an independent predictor for in-hospital &#40;odds ratio&#61;1&#46;633&#59; 95&#37; CI &#91;1&#46;065&#8211;2&#46;504&#93;&#59; p&#61;0&#46;025&#41;&#44; but not for one-year mortality&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">This analysis reveals sex-related disparities in Portuguese STEMI patients&#46; Despite limitations inherent to registry-based analysis&#44; women were significantly older&#44; with increased cardiovascular risk&#44; less treated&#44; and with higher in-hospital mortality&#46; These disparities should be a concern for clinicians to further improve outcomes and move toward equitable medical care&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0005"
            "titulo" => "Introduction and objectives"
          ]
          1 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Methods"
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          2 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Results"
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          3 => array:2 [
            "identificador" => "abst0020"
            "titulo" => "Conclusions"
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      "pt" => array:3 [
        "titulo" => "Resumo"
        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introdu&#231;&#227;o e objetivos</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">As diferen&#231;as entre sexos nos doentes com enfarte agudo do mioc&#225;rdio &#40;EAM&#41; s&#227;o um t&#243;pico controverso&#46; S&#227;o frequentemente descritas disparidades na apresenta&#231;&#227;o&#44; no diagn&#243;stico e no tratamento&#44; as quais contribuem para um pior progn&#243;stico nas mulheres&#46; O objeto desta an&#225;lise foi determinar estas diferen&#231;as no EAM com supradesnivelamento do segmento ST &#40;STEMI&#41;&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">M&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Os autores realizaram uma an&#225;lise retrospetiva de doentes com STEMI inclu&#237;dos no Registo Portugu&#234;s de S&#237;ndromes Coron&#225;rias Agudas&#44; entre outubro de 2010 e 2022&#46; Foram definidos dois <span class="elsevierStyleItalic">endopoints</span> prim&#225;rios&#58; mortalidade intra-hospitalar e mortalidade a um ano&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Foram inclu&#237;dos 14 470 STEMI&#46; O sexo feminino estava sub-representado &#40;3&#46;721 doentes&#44; 25&#44;7&#37;&#41;&#46; As mulheres tinham uma idade superior &#40;70 <span class="elsevierStyleItalic">versus</span> 62 anos&#44; p &#60; 0&#44;001&#41;&#44; com maior preval&#234;ncia de fatores de risco cardiovascular&#44; sendo menos submetidas a angiografia coron&#225;ria &#40;84&#44;4&#37; <span class="elsevierStyleItalic">versus</span> 88&#44;5&#37;&#44; p &#60; 0&#44;001&#41; e a terap&#234;utica m&#233;dica &#40;aspirina 92&#44;5&#37; <span class="elsevierStyleItalic">versus</span> 95&#44;4&#37;&#44; beta bloqueantes 79&#44;2&#37; <span class="elsevierStyleItalic">versus</span> 83&#37;&#44; p &#60; 0&#44;001&#41;&#46; O sexo feminino apresentou mais complica&#231;&#245;es&#58; insufici&#234;ncia card&#237;aca congestiva &#40;23&#44;4&#37; <span class="elsevierStyleItalic">versus</span> 14&#44;6&#37;&#41;&#44; acidente vascular cerebral isqu&#233;mico &#40;47 <span class="elsevierStyleItalic">versus</span> 40&#37;&#41;&#44; e mortalidade intra-hospitalar &#40;8&#44;5&#37; <span class="elsevierStyleItalic">versus</span> 4&#44;1&#37;&#41; &#40;p &#60; 0&#44;001 para todas as compara&#231;&#245;es&#41;&#46; A mortalidade a um ano foi superior nas mulheres &#40;11&#44;5&#37; <span class="elsevierStyleItalic">versus</span> 6&#44;3&#44; p &#60; 0&#44;001&#41;&#46; Ap&#243;s an&#225;lise multivariada&#44; o sexo feminino manteve-se preditor independente de mortalidade intra-hospitalar &#40;OR &#61; 1&#44;633&#59; CI 95&#37; &#91;1&#44;065-2&#44;504&#93;&#59; p &#61; 0&#44;&#46;025&#41;&#44; mas n&#227;o a um ano&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclus&#227;o</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">O presente estudo&#44; em Portugal&#44; revela m&#250;ltiplas diferen&#231;as entre sexos no STEMI&#46; Apesar das limita&#231;&#245;es inerentes &#224;s an&#225;lises baseadas em registos nacionais&#44; as mulheres t&#234;m idade e risco cardiovascular superior&#44; sendo menos tratadas&#44; com mortalidade superior&#46; Estas desigualdades devem ser uma preocupa&#231;&#227;o para a comunidade m&#233;dica de modo a melhorar <span class="elsevierStyleItalic">outcomes</span> e a proporcionar cuidados m&#233;dicos equitativos&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0025"
            "titulo" => "Introdu&#231;&#227;o e objetivos"
          ]
          1 => array:2 [
            "identificador" => "abst0030"
            "titulo" => "M&#233;todos"
          ]
          2 => array:2 [
            "identificador" => "abst0035"
            "titulo" => "Resultados"
          ]
          3 => array:2 [
            "identificador" => "abst0040"
            "titulo" => "Conclus&#227;o"
          ]
        ]
      ]
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        "tipo" => "MULTIMEDIAFIGURA"
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Kaplan&#8211;Meier curves for one-year mortality&#46;</p>"
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          "leyenda" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">AMI&#58; acute myocardial infarction&#59; CABG&#58; coronary artery bypass graft&#59; CAD&#58; coronary artery disease&#59; CKD&#58; chronic kidney disease&#59; COPD&#58; chronic obstructive pulmonary disease&#59; HBP&#58; high blood pressure&#59; PAD&#58; peripheral arterial disease&#59; PCI&#58; percutaneous coronary intervention&#59; SD&#58; standard deviation&#59; TIA&#58; transient ischemic attack&#46;</p>"
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total &#40;n&#61;14<span class="elsevierStyleHsp" style=""></span>470&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Age &#40;years&#41; &#8211; mean &#40;SD&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">64&#40;13&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HBP&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">8764&#47;13999&#40;62&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6150&#47;10392&#40;59&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2614&#47;3607&#40;72&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Dislipidemia&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7288&#47;13512&#40;53&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">5354&#47;10040&#40;53&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1934&#47;3472&#40;55&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;015&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4983&#47;14428&#40;34&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">4305&#47;10720&#40;40&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">678&#47;3708&#40;18&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Diabetes&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">3564&#47;14009&#40;25&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2392&#47;10420&#40;23&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1172&#47;3589&#40;32&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Obesity&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2690&#47;12394&#40;21&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1965&#47;9285&#40;21&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">725&#47;3109&#40;23&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;012&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Angina pectoris&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2100&#47;13025&#40;16&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">1528&#47;9766&#40;15&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">572&#47;3259&#40;17&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1431&#47;13019&#40;11&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1161&#47;9755&#40;11&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">270&#47;3264&#40;8&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Previous PCI&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1263&#47;13243&#40;9&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1049&#47;9896&#40;10&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">214&#47;3347&#40;6&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">132&#47;9925&#40;1&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;196&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">486&#47;9869&#40;4&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">211&#47;3313&#40;6&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>PAD&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">420&#47;13254&#40;3&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">338&#47;9905&#40;3&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">82&#47;3349&#40;2&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;006&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">265&#47;9819&#40;2&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Valvular heart disease&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">109&#47;3287&#40;3&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">464&#47;13162&#40;3&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">344&#47;9824&#40;3&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;801&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Dementia&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">188&#47;10722&#40;1&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">84&#47;8026&#40;1&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">104&#47;2696&#40;3&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Family history CAD&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">915&#47;13211&#40;6&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">693&#47;9835&#40;7&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">222&#47;3376&#40;6&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;353&nbsp;\t\t\t\t\t\t\n
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                  """
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          "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">BNP&#58; B-type natriuretic peptide&#59; CrCl&#58; creatinine clearance&#59; GRACE&#58; global registry of acute coronary events&#59; Hb&#58; hemoglobin&#59; LDL&#58; low-density lipoprotein&#59; LVEF&#58; left ventricular ejection fraction&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total &#40;n&#61;14<span class="elsevierStyleHsp" style=""></span>470&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Male &#40;n&#61;10<span class="elsevierStyleHsp" style=""></span>749&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Female &#40;n&#61;3721&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p-Value&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Clinical presentation</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Chest pain &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12649&#47;13436&#40;94&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9541&#47;10003&#40;95&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3108&#47;3433&#40;90&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Dyspnea &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">207&#47;13436&#40;1&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">120&#47;10003&#40;1&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">87&#47;3433&#40;2&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Killip class I &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10931&#47;12899&#40;84&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">8370&#47;9649&#40;86&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2561&#47;3250&#40;78&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Killip class II&#47;III&#47;IV &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1968&#47;12899&#40;15&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1279&#47;9649&#40;13&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">689&#47;3250&#40;21&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>GRACE risk score &#62;140&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5812&#47;10145&#40;57&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3996&#47;7596&#40;52&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1816&#47;2549&#40;71&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Complementary diagnostic exams</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cr &#62;2 mg&#47;dL &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1000&#47;9223&#40;10&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">647&#47;6837&#40;9&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">353&#47;2386&#40;14&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CrCl &#60;60 mL&#47;min&#47;1&#46;73 m<span class="elsevierStyleSup">2</span> &#40;&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2655&#47;10442&#40;25&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1494&#47;7821&#40;19&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1161&#47;2621&#40;44&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CrCl &#60;30 mL&#47;min&#47;1&#46;73 m<span class="elsevierStyleSup">2</span> &#40;&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">507&#47;11839&#40;4&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">266&#47;8800&#40;3&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">241&#47;3039&#40;7&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hb 8&#8211;10 g&#47;dL &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">270&#47;11164&#40;2&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">123&#47;8358&#40;1&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">147&#47;2806&#40;5&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>BNP &#40;pg&#47;mL&#41; &#8211; mean &#40;SD&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">421&#40;792&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">338&#40;630&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">643&#40;1083&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>LDL &#40;mg&#47;dL&#41; &#8211; mean &#40;SD&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">121&#40;41&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">122&#40;41&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">119&#40;42&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Preserved LVEF &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>LCx&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1954&#47;9843&#40;19&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">380&#47;2296&#40;16&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>LMA&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">140&#47;8954&#40;1&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">104&#47;6845&#40;1&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">36&#47;2109&#40;1&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Graft&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">50&#47;147&#40;34&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">43&#47;118&#40;36&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">7&#47;29&#40;24&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;210&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Multivessel disease &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4640&#47;10639&#40;43&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">3567&#47;8034&#40;44&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1073&#47;2605&#40;41&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7164&#47;10469&#40;68&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">5578&#47;7934&#40;70&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">1586&#47;2535&#40;62&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Femoral access&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">3305&#47;10469&#40;31&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Single-vessel PCI&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Thrombectomy&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7648&#47;9080&#40;84&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">7199&#47;9081&#40;79&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>MRA&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1466&#47;12107&#40;12&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">414&#47;3075&#40;13&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;008&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Diuretics&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3219&#47;12111&#40;26&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1097&#47;3076&#40;35&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Inotropes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab3662553.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Patient treatment&#46;</p>"
        ]
      ]
      4 => array:8 [
        "identificador" => "tbl0020"
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        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at4"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
        "tabla" => array:1 [
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            0 => array:2 [
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                0 => """
                  <table border="0" frame="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total &#40;n&#61;14<span class="elsevierStyleHsp" style=""></span>470&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Male &#40;n&#61;10<span class="elsevierStyleHsp" style=""></span>749&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Female &#40;n&#61;3721&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t\ttop\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Aspirin&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">8009&#47;8393&#40;95&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2533&#47;2737&#40;92&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Clopidogrel&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6234&#47;11244&#40;55&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;504&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Ticagrelor&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">2610&#47;11244&#40;23&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2032&#47;8466&#40;24&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">578&#47;2778&#40;20&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anticoagulants&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Statins&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">10401&#47;11253&#40;92&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7902&#47;8472&#40;93&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">ACEi&#47;ARB&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">7078&#47;8384&#40;84&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Beta blocker&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">9122&#47;11110&#40;82&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">MRA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">0&#46;016&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diuretics&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Cardiac rehabilitation referral&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">2077&#47;8512&#40;24&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">585&#47;2971&#40;19&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab3662552.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
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      5 => array:8 [
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total &#40;n&#61;14<span class="elsevierStyleHsp" style=""></span>470&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Male &#40;n&#61;10<span class="elsevierStyleHsp" style=""></span>749&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Female &#40;n&#61;3721&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p-Value&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">Hospital stay &#40;days&#41; &#8211; median &#40;P25&#59;P75&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4&#40;3&#59;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#40;3&#59;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Complications &#40;inpatient&#41;</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CHF&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2182&#47;12960&#40;16&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1416&#47;9680&#40;14&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">766&#47;3280&#40;23&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cardiogenic shock&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">834&#47;12898&#40;6&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">517&#47;9565&#40;5&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">317&#47;3237&#40;9&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Atrial fibrillation&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">672&#47;12949&#40;5&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">445&#47;9673&#40;4&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">227&#47;3276&#40;6&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cardiac arrest&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">656&#47;12966&#40;5&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">480&#47;9684&#40;5&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">176&#47;3282&#40;5&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;359&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>AV block&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">548&#47;12964&#40;4&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">358&#47;9682&#40;3&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">190&#47;3282&#40;5&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SVT&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">272&#47;12962&#40;2&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">200&#47;9681&#40;2&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">72&#47;3281&#40;2&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;657&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Mechanical complication&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">131&#47;12962&#40;1&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">71&#47;9681&#40;0&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#47;3281&#40;1&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Stroke&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">87&#47;12954&#40;0&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&#47;9674&#40;0&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">47&#47;3280&#40;1&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Reinfarction&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">93&#47;12962&#40;0&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">63&#47;9682&#40;0&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&#47;3280&#40;0&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;122&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Major bleeding&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">82&#47;12802&#40;0&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">43&#47;9565&#40;0&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">39&#47;3237&#40;1&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t\ttop\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Non-CV cause&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>In-hospital&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>1-Year&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  """
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                  <table border="0" frame="\n
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                  \t\t\t\t">1&#46;672&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#46;078&#8211;2&#46;593&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#46;543&#8211;9&#46;366&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">BB &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">0&#46;272&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;166&#8211;0&#46;445&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">AECi &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;492&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;298&#8211;0&#46;814&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Statin &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;213&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;118&#8211;0&#46;384&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Inotropes &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9&#46;082&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;598&#8211;14&#46;757&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Amiodarone &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;711&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;644&#8211;4&#46;468&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diuretics &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;710&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;040&#8211;2&#46;812&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;034&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">LVEF &#60;30&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">20&#46;231&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">10&#46;648&#8211;38&#46;439&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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      7 => array:8 [
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          "leyenda" => "<p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">CI&#58; confidence interval&#59; HR&#58; hazard ratio&#46;</p>"
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                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HR&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p-Value&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sex &#40;F&#46; vs&#46; M&#46;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">1&#46;158&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;851&#8211;1&#46;590&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;359&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">GRACE risk score &#62;140&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">2&#46;100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;196&#8211;3&#46;687&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age &#62;75 vs&#46; &#60;60 years&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;683&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;560&#8211;4&#46;616&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Killip class &#62;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;524&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;062&#8211;2&#46;187&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;022&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Dyslipidemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;616&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;455&#8211;0&#46;833&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Heart failure&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;78&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;039&#8211;3&#46;049&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;036&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ischemic stroke&#47;TIA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;163&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;043&#8211;1&#46;297&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;007&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ACEi &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;543&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;382&#8211;0&#46;773&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">CCB &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;231&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;233&#8211;4&#46;038&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;008&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diuretics &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;627&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;123&#8211;2&#46;358&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">LVEF &#60;50&#37; vs&#46; &#62;50&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;930&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;362&#8211;2&#46;735&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">LVEF &#60;30&#37; vs&#46; &#62;30&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;817&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;124&#8211;2&#46;937&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;015&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HF &#40;complication&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;541&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;074&#8211;2&#46;210&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;019&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Aspirin &#40;outpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;454&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;279&#8211;0&#46;738&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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                0 => "xTab3662555.png"
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">Cox&#39;s hazard regression &#40;one-year mortality&#41; &#40;other variables included not shown&#41;&#46;</p>"
        ]
      ]
    ]
    "bibliografia" => array:2 [
      "titulo" => "References"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0015"
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              "identificador" => "bib0115"
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                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Sex-related differences in the management and outcomes of patients hospitalized with ST-elevation myocardial infarction&#58; a comparison within four European myocardial infarction registries"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "T&#46; Hellgren"
                            1 => "M&#46; Bl&#246;ndal"
                            2 => "J&#46; Jortveit"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:3 [
                        "tituloSerie" => "Eur Heart J Open"
                        "fecha" => "2022"
                        "volumen" => "2"
                      ]
                    ]
                  ]
                ]
              ]
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                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Sex differences in treatment and outcomes of patients with in-hospital ST-elevation myocardial infarction"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "J&#46; Stehli"
                            1 => "D&#46; Dinh"
                            2 => "M&#46; Dagan"
                          ]
                        ]
                      ]
                    ]
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Original Article
Sex-related differences in ST-segment elevation myocardial infarction: A Portuguese multicenter national registry analysis
As diferenças entre os sexos no enfarte agudo do miocárdio com supradesnivelamento do segmento ST: um estudo baseado no registo nacional multicêntrico português
Carolina Miguel Gonçalvesa,
Autor para correspondência
carolinagoncalves9@gmail.com

Corresponding author.
, Mariana Carvalhoa, Adriana Vazãoa, Margarida Cabrala, André Martinsa, Fátima Saraivaa, João Moraisa,b, on behalf of ProACS Investigators
a Unidade Local de Saúde da Região de Leiria, E.P.E., Leiria, Portugal
b ciTechCare – Center for Innovative Care and Health Technology, Polytechnique of Leiria, Leiria, Portugal
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Although there has been significant improvement in healthcare<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;2</span></a> and a decrease in mortality&#44;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;3&#8211;5</span></a> cardiovascular diseases&#44; with the significant weight of myocardial infarction&#44; continue to be the most common cause of death in Europe<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;6&#8211;8</span></a>&#59; and their burden is increasing in women&#46;<a class="elsevierStyleCrossRefs" href="#bib0135"><span class="elsevierStyleSup">5&#44;9</span></a> Improved healthcare is mainly based on three factors&#58; the implementation and dissemination of coronary reperfusion&#44;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">3</span></a> better myocardial revascularization techniques<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">10</span></a> and the widespread application of guideline-directed medical therapy&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Around 30&#8211;40&#37; of acute myocardial infarctions &#40;AMI&#41; occur in women&#59; ST-segment myocardial infarction &#40;STEMI&#41; is less likely than non-ST-segment myocardial infarction &#40;NSTEMI&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">4</span></a> STEMI is described as increasing exponentially with age in women compared to a linear rate in men&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">3</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">Sex differences in AMI are an issue that is continually under debate&#44;<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">11&#44;12</span></a> with conflicting results in the literature&#44;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;7&#44;8&#44;10</span></a> partly due to the heterogeneity of studied populations&#44; including both STEMI and NSTEMI&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;13</span></a> Although comorbidities&#44; complications&#44; and mortality remain higher in women&#44;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a> long-term differences appear to attenuate after adjusted analysis&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;6</span></a> These differences may be related to worse baseline characteristics&#44;<a class="elsevierStyleCrossRefs" href="#bib0150"><span class="elsevierStyleSup">8&#44;14</span></a> pathophysiology and treatment disparities<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">4</span></a> in women&#44; but they are not fully understood&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;15&#44;16</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">This matter has raised awareness not only inside the cardiology community with several publications and campaign advertisements&#44;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">17</span></a> but also among the general population&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">7</span></a> Nevertheless&#44; differences still persist&#46;<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">4&#44;17&#44;18</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">In Portugal&#44; cardiovascular diseases are the most common cause of death&#46; They are the most common etiology in women&#44; in contrast to oncologic diseases in men&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">19</span></a> A previous Portuguese study on acute coronary syndromes &#40;ACS&#41; identified differences in treatment and prognosis between sexes&#46;<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">5</span></a> Nevertheless&#44; as of the present date and to the best of the authors&#8217; knowledge&#44; the specific situation in Portugal&#44; particularly regarding STEMI&#44; is not known&#46; The authors consider that including only STEMI could help reduce the heterogeneity of the population and eliminate potential confounding factors associated with the spectrum of ACS&#44; particularly in diagnosis and treatment&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Objectives</span><p id="par0030" class="elsevierStylePara elsevierViewall">The purpose of the current analysis is to investigate sex-related differences among patients who have experienced STEMI in Portugal focusing on baseline characteristics&#44; clinical findings&#44; treatment modalities&#44; prognosis and mortality&#46; Based on the literature&#44; the authors expected to find sex-related differences in these patients&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Methods</span><p id="par0035" class="elsevierStylePara elsevierViewall">The Portuguese Registry on Acute Coronary Syndromes &#40;ProACS&#41; was established in 2002&#44; founded by the Portuguese Society of Cardiology and is coordinated by the National Center for Data Collection in Cardiology&#46; This multicenter&#44; continuous&#44; prospective observational national registry is registered at ClinicalTrials&#46;gov &#40;<a href="ctgov:NCT01642329">NCT01642329</a>&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">20</span></a> All Portuguese cardiology departments were invited to participate and consecutively include adult patients who were hospitalized&#46; The inclusion and exclusion criteria were established and published elsewhere&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">20</span></a></p><p id="par0040" class="elsevierStylePara elsevierViewall">By 2016&#44; a total of 49 Portuguese centers had been included &#40;11 university hospitals&#44; 12 hospitals with cardiac surgery and 25 with catheterization laboratories&#41;&#44; distributed across Portugal&#58; North &#40;11 centers&#41;&#44; Central region &#40;12 centers&#41;&#44; South &#40;22 centers&#41; and in the Autonomous Regions of Madeira and the Azores &#40;four centers&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">20</span></a></p><p id="par0045" class="elsevierStylePara elsevierViewall">The authors conducted a retrospective analysis of STEMI patients included in the ProACS between October 2010 and 2022&#46;</p><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Statistical analysis</span><p id="par0050" class="elsevierStylePara elsevierViewall">Continuous variables were presented as mean value<span class="elsevierStyleHsp" style=""></span>&#177;<span class="elsevierStyleHsp" style=""></span>standard deviation or median and interquartile range &#40;IQR&#41;&#46; These were compared between groups using independent samples t-test or the Mann&#8211;Whitney U test&#44; based on their distribution&#46; Categorical variables were presented as frequencies and percentages and were compared using the chi-square or Fisher&#39;s exact tests&#44; as appropriate&#46; Separate analyses were made for in-hospital and one-year endpoints&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">The independent predictors of the primary outcome &#40;in-hospital mortality&#41; were assessed by multivariable logistic regression analyses using the stepwise forward method&#46; The Hosmer&#8211;Lemeshow test was used for the calibration of the regression model&#46; The effect of the variables was assessed by estimating the odds ratio &#40;OR&#41; and 95&#37; confidence interval &#40;CI&#41;&#46; Survival analysis was assessed using Cox proportional hazard regression&#44; cumulative incidences of events were estimated by the Kaplan&#8211;Meier method&#44; and the difference was assessed by the log rank test&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">All analyses were performed using SPSS software for Windows&#44; version 29&#46;0&#174;&#46; All p-values were two-sided and were considered significant when &#60;0&#46;05&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Study endpoints</span><p id="par0065" class="elsevierStylePara elsevierViewall">Two cohorts were defined based on sex&#46; Baseline clinical characteristics&#44; in-hospital clinical findings&#44; treatment and outcomes were compared&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">The two co-primary endpoints were in-hospital and one-year mortality&#46; Secondary endpoints consisted of in-hospital complications &#40;congestive heart failure&#44; cardiogenic shock&#44; atrial fibrillation&#44; cardiac arrest&#44; atrioventricular block&#44; sustained ventricular tachycardia &#40;SVT&#41;&#44; mechanical complications&#44; stroke&#44; reinfarction&#44; and major bleeding&#41;&#44; and one-year cardiovascular and non-cardiovascular hospital readmission&#46;</p></span></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Results</span><p id="par0075" class="elsevierStylePara elsevierViewall">Between October 2010 and 2022 a total of 14<span class="elsevierStyleHsp" style=""></span>470 STEMI patients were registered on ProACS&#46;</p><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Baseline characteristics</span><p id="par0080" class="elsevierStylePara elsevierViewall">Out of 14<span class="elsevierStyleHsp" style=""></span>470 STEMI patients&#44; 3721 &#40;25&#46;7&#37;&#41; were female with a mean age of 64&#177;13&#46;5 years &#8211; reported in almost the entire population &#40;14<span class="elsevierStyleHsp" style=""></span>465 patients&#41;&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">Patient baseline characteristics are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; Women were older with a worse cardiovascular risk profile&#44; taking into consideration higher rate of high blood pressure &#40;HBP&#41;&#44; dyslipidemia&#44; diabetes&#44; obesity&#44; chronic kidney disease &#40;CKD&#41;&#44; cerebrovascular disease&#44; and heart failure &#40;HF&#41;&#46; Smoking&#44; peripheral arterial disease &#40;PAD&#41;&#44; previous AMI and previous percutaneous coronary intervention &#40;PCI&#41; were more common among men&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall">Conversely&#44; women were more previously medicated with clopidogrel&#44; beta blockers&#44; angiotensin-converting enzyme inhibitors &#40;ACEi&#41;&#44; angiotensin receptor blockers &#40;ARB&#41;&#44; calcium channel blockers&#44; mineralocorticoid receptor antagonists &#40;MRA&#41;&#44; and statins&#46;</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Clinical findings and treatment</span><p id="par0095" class="elsevierStylePara elsevierViewall">Clinical presentation characteristics and inpatient treatment strategies are shown in <a class="elsevierStyleCrossRefs" href="#tbl0010">Tables 2 and 3</a> and discharge features are shown in <a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#46; Chest pain was the most common symptom in both sexes&#46; However&#44; female patients had more atypical presentations&#44; especially dyspnea&#44; a worse clinical profile with a higher Killip class&#44; and worse serum biomarkers&#44; such as elevated creatinine and B-type natriuretic peptide &#40;BNP&#41;&#44; and lower hemoglobin&#46; In fact&#44; women had a higher median calculated global registry of acute coronary events &#40;GRACE&#41; risk score &#40;161 vs&#46; 146&#44; p-value &#60;0&#46;001&#41;&#46; Severely depressed left ventricular ejection fraction &#40;LVEF&#41; was more frequent in women &#40;8&#46;2&#37; vs&#46; 6&#46;4&#37;&#44; p-value &#60;0&#46;001&#41;&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">The time from first symptoms to first medical contact &#40;patient delay&#41; was higher among women&#44; approximately 2&#46;6 hours and 2&#46;2 hours in men &#40;median values with p-value &#60;0&#46;001&#41;&#44; as well as system delay &#40;2&#46;9 hours vs&#46; 2&#46;5 hours&#44; p-value &#60;0&#46;001&#41;&#46; Similar trends were observed in the time from first symptoms to revascularization &#40;median values&#58; four hours for male vs&#46; 4&#46;8 hours for female&#44; p-value &#60;0&#46;001&#41;&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">The occurrence of inferior and anterior STEMI&#44; 50&#46;6&#37; and 47&#46;9&#37; respectively&#44; was similar between sexes&#46; The localization of the STEMI was reported in 13<span class="elsevierStyleHsp" style=""></span>174 patients&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">Regarding treatment&#44; coronary angiography &#40;CAG&#41; was performed in 12<span class="elsevierStyleHsp" style=""></span>599 patients &#40;87&#46;5&#37;&#41;&#44; significantly less frequently in women &#40;84&#46;4&#37; vs&#46; 88&#46;5&#37;&#44; p-value &#60;0&#46;001&#41;&#44; and also reperfusion therapy &#40;58&#46;9&#37; vs&#46; 65&#46;8&#37;&#44; p-value&#60;0&#46;001&#41;&#44; including both fibrinolysis and primary angioplasty&#46; Nevertheless&#44; CAG without significant epicardial lesions was more common among women &#40;16&#46;5&#37; vs&#46; 13&#46;3&#37;&#44; p-value &#60;0&#46;001&#41;&#46; The distribution of the most common culprit artery was identical&#44; with left anterior descending &#40;LAD&#41; artery accounting for 44&#37; and the right coronary artery &#40;RCA&#41; for 36&#37; of the total population&#46; The success of revascularization was higher than 90&#37;&#44; and with no differences between sexes in the most common culprit arteries&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">As for medical treatment&#44; statins&#44; aspirin&#44; ticagrelor&#44; ACEi&#47;ARB&#44; and beta blockers were less prescribed in women&#44; with an opposite tendency for the prescription of anticoagulants&#44; nitrates&#44; MRA&#44; diuretics&#44; and inotropes&#46; Although low referral rates for cardiac rehabilitation were observed in the total population&#44; women were referred even less&#46;</p></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Study endpoints</span><p id="par0120" class="elsevierStylePara elsevierViewall">In-hospital mortality was reported in 736 patients &#40;5&#46;2&#37;&#41; &#40;304 females&#44; i&#46;e&#46; 8&#46;5&#37;&#44; vs&#46; 432 males&#44; i&#46;e&#46; 4&#46;1&#37;&#44; p-value&#60;0&#46;001&#41;&#44; and one-year mortality in 1069 patients &#40;7&#46;6&#37;&#41; &#40;413 females&#44; i&#46;e&#46; 11&#46;5&#37;&#44; vs&#46; 656 males&#44; i&#46;e&#46; 6&#46;3&#37;&#44; p-value&#60;0&#46;001&#41; &#40;<a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia><p id="par0125" class="elsevierStylePara elsevierViewall">Women had more one-year non-cardiovascular readmission and in-hospital complications&#44; including congestive HF&#44; shock&#44; mortality&#44; atrial fibrillation&#44; atrioventricular block&#44; mechanical complications&#44; stroke and major bleeding&#46; However&#44; reinfarction&#44; SVT&#44; cardiac arrest&#44; and cardiovascular readmission&#44; did not achieve statistical significance&#44; despite higher rates among women &#40;<a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a>&#41;&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Survival analysis and adjusted analysis</span><p id="par0130" class="elsevierStylePara elsevierViewall">Survival analysis is shown in <a class="elsevierStyleCrossRef" href="#fig0005">Figure 1</a>&#46; Multivariate logistic regression for in-hospital mortality and Cox proportional hazard regression for one-year mortality are shown in <a class="elsevierStyleCrossRefs" href="#tbl0030">Tables 6 and 7</a>&#44; respectively&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="tbl0030"></elsevierMultimedia><elsevierMultimedia ident="tbl0035"></elsevierMultimedia><p id="par0135" class="elsevierStylePara elsevierViewall">After adjusted analysis&#44; female sex remained as an independent factor for in-hospital mortality &#40;OR&#61;1&#46;672&#59; 95&#37; CI &#91;1&#46;078&#8211;2&#46;593&#93;&#59; p&#61;0&#46;022&#41; but not for one-year mortality&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Regarding in-hospital mortality&#44; several statistically significant variables in univariate analysis &#8211; including baseline characteristics such as HBP&#44; diabetes&#44; angina&#44; VHD&#44; HF&#44; history of smoking&#44; cerebrovascular disease&#44; PAD&#44; CKD&#44; cancer&#44; chronic obstructive pulmonary disease&#44; clinical findings with GRACE risk score and STEMI localization&#44; as well as medication use both prior to and during hospitalization and angiographic characteristics like multivessel disease&#44; culprit artery&#44; and time to reperfusion &#8211; were incorporated into the regression model&#46; Likewise&#44; the regression model for one-year mortality included HBP&#44; VHD&#44; PAD&#44; CKD&#44; cancer&#44; prior&#44; inpatient and outpatient medications&#44; the use of PCI&#44; angiographic characteristics &#40;multivessel disease&#41;&#44; and in-hospital complications&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">GRACE risk score&#44; inotropes and LVEF lower than 30&#37; were the most important independent predictors for in-hospital mortality&#46; Guideline-directed medical therapy was associated with a reduced risk of in-hospital mortality&#46; Moreover&#44; older age&#44; in-hospital complications&#44; worse clinical profiles at admission&#44; including GRACE risk score&#44; and lower LVEF were independent predictors for one-year mortality&#46;</p></span></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Discussion</span><p id="par0150" class="elsevierStylePara elsevierViewall">Approximately one-quarter of our population was female&#44; consistent with the underrepresentation of women in clinical studies regarding ACS&#46;<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">6&#44;9&#44;15&#44;21</span></a></p><p id="par0155" class="elsevierStylePara elsevierViewall">Similar to other European registries &#8211; such as in Estonia&#44; Hungary&#44; Norway&#44; Sweden and Vienna &#8211; and to other studies&#44;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;3&#44;6&#8211;8&#44;10&#44;16</span></a> women were older and had a higher frequency of several cardiovascular risk factors&#46; Coronary artery disease appears to be age-dependent in women&#44; especially occurring after menopause<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">6</span></a> and typically five to 10 years after men&#44;<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">6&#44;21</span></a> due to the protective effects of estrogen&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">21</span></a> Moreover&#44; these risk factors appear to have a more unfavorable role in women &#8211; for example&#44; the OR of AMI in diabetic women is higher compared to men &#40;4&#46;26 vs&#46; 2&#46;67&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">19</span></a> Unassessed comorbidities&#44; such as depression&#44;<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">13&#44;21</span></a> anxiety and stress<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">21</span></a> may be related to worse outcomes&#46; The prevalence of depression after an AMI is estimated to be 20&#37; and doubles in women compared to men&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">12</span></a> A study found higher early complication rates in patients with anxiety or depression and proposes the use of screening tools to manage this comorbidity better&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">12</span></a> These data probably justify the inclusion of these new variables in future registries&#46;</p><p id="par0160" class="elsevierStylePara elsevierViewall">Chest pain is the most common symptom of acute ACS&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">11</span></a> Nevertheless&#44; atypical symptoms appear to be more common among women&#44;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;7&#44;21</span></a> in accordance with the present study&#44; which is an alarming feature that can lead to misdiagnosis and undertreatment&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a> Furthermore&#44; women appear to wait longer before seeking healthcare<a class="elsevierStyleCrossRefs" href="#bib0125"><span class="elsevierStyleSup">3&#44;7&#44;11&#44;13&#44;16&#44;17</span></a>&#59; this was also observed in the present study&#46; Reducing this delay may have potential benefits on mortality and morbidity&#46;<a class="elsevierStyleCrossRef" href="#bib0125"><span class="elsevierStyleSup">3</span></a> In our analysis&#44; despite a higher prevalence of obesity&#44; BNP levels in women were twice as high as those in men&#44; probably corroborating a delayed and worse clinical presentation&#44; as well as the presence of other comorbidities known to increase BNP levels &#40;anemia&#44; CKD&#41;&#46; Awareness around clinicians should be raised&#44; and effective educational campaigns targeting the general population should address this issue&#46;</p><p id="par0165" class="elsevierStylePara elsevierViewall">The management of STEMI differed based on sex<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;6&#44;7&#44;16</span></a>&#59; women underwent CAG&#44; PCI&#44; and guideline-directed medical therapy less frequently&#46; Accordingly&#44; a study found lower prescription of ticagrelor and prasugrel in women&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">22</span></a> Lower prescription of dual antiplatelet &#40;DAPT&#41; therapy could be explained by low adherence to guideline recommendations in conservative cases and also due to higher prescription of oral anticoagulants<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a>&#59; this was presumed in the current study due to the higher frequency of atrial fibrillation and anticoagulation at discharge&#46; While the rate of major bleeding in our population was low&#44; concerns about higher bleeding risk in women may also contribute to lower adherence to DAPT&#46;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;22</span></a> Thus&#44; these differences may be attributed to older age and frailty&#44;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a> which is consistent with our population of frailer women&#46; This characteristic was&#44; however&#44; inferred through other features&#46;</p><p id="par0170" class="elsevierStylePara elsevierViewall">In another recent study among patients with ACS&#44; similar tendencies were observed with less guideline-directed therapy during both prehospital and hospital care in women&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">11</span></a> It is suggested that this difference is greater in prehospital care&#44;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">11</span></a> which is a parameter that was not evaluated in our study&#46; Ours reveals differences in discharge medications that could be partly explained by increased comorbidities in women&#46; Nevertheless&#44; clinicians should be aware of these differences in order to prescribe optimized medical therapy and individualize treatment regardless of the patient&#39;s sex&#46;</p><p id="par0175" class="elsevierStylePara elsevierViewall">On the other hand&#44; the lower rates of PCI in our study may be partially explained by the higher number of normal CAG findings in women&#44; while the success of PCI for the most common culprit artery was similar&#44; suggesting that equivalent treatment was offered in cases that underwent PCI&#46; Myocardial infarction with non-obstructive coronary arteries &#40;MINOCA&#41; is a heterogeneous entity more frequently found in women and associated with a higher risk of cardiovascular events<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">19</span></a> that should be properly addressed&#46; However&#44; as ProACS does not collect information regarding MINOCA&#44; this analysis could not be performed in the present study&#46;</p><p id="par0180" class="elsevierStylePara elsevierViewall">Our analysis revealed a more significant role of sex in in-hospital mortality&#46; There is consistent evidence that women have higher short-term mortality&#44; while there are conflicting results for long-term mortality&#46;<a class="elsevierStyleCrossRefs" href="#bib0140"><span class="elsevierStyleSup">6&#44;7</span></a> In a recent metanalysis&#44; the effect of difference in sex on short-term mortality was significant&#44; in contrast to long-term mortality&#44; even after attenuation with adjusted analysis&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">7</span></a> In contrast&#44; women had higher short and long-term mortality rates in several registries&#44; although both these differences seem to attenuate after adjusted analysis in European countries&#44;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;16</span></a> but not in India&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">9</span></a> The justification for these differences is not known&#44; although frailty<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a> and worse cardiovascular profiles<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">7</span></a> may play a role&#46;</p><p id="par0185" class="elsevierStylePara elsevierViewall">An international study regarding thirty-day mortality found statistically higher mortality in women after adjusted analysis but that these differences were stronger in younger patients&#44; and not related to treatment variations&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">13</span></a> Other studies in younger women had similar results&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">21</span></a> Conversely&#44; a study focusing on differences in STEMI patients who underwent PCI&#44; did not find differences in thirty-day and one-year mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">10</span></a></p><p id="par0190" class="elsevierStylePara elsevierViewall">Most of these studies are based on registries and observational data and one-year follow-up&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">6</span></a> A subanalysis from the EXAMINATION-EXTENDED trial&#44; with a 10-year follow-up&#44; encountered a higher incidence of all-cause and cardiac death in women&#46; After adjusted analysis of its primary endpoint&#44; a composite of all-cause death&#44; myocardial infarction and revascularization&#44; sex was not a predictor of events&#44; while age was the most important one&#46;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">6</span></a> The authors suggest that HF and cardiogenic shock may lead to worse outcomes in women&#44; as they are related to higher in-hospital and thirty-day mortality&#44;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">6</span></a> similar to our findings&#46; Other complications&#44; including bleeding and mechanical complications were also reported as more common among women&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">7</span></a></p><p id="par0195" class="elsevierStylePara elsevierViewall">In our analysis&#44; lower LVEF was associated with mortality&#44; which is similar to previous studies in which LVEF was an independent predictor of in-hospital complications&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">12</span></a> On the other hand&#44; with regard to noncardiac comorbidities and death&#44;<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">6</span></a> the delay in seeking medical observation and in diagnosis&#44;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">13</span></a> may play a role in all-cause death&#46; In this context&#44; one study focused on in-hospital STEMI and found there were fewer disparities in baseline characteristics between sexes&#44; although longer times&#44; less guideline-medical therapy in women&#44; and no significant differences in mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0120"><span class="elsevierStyleSup">2</span></a></p><p id="par0200" class="elsevierStylePara elsevierViewall">There are several recommendations to improve outcomes in women&#44; including education campaigns for the general population&#44; particularly women&#44; education campaigns for healthcare providers and the implementation of protocols for STEMI management&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">17</span></a> In fact&#44; STEMI management protocols may reduce sex differences&#44;<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">10&#44;14&#44;17</span></a> and one study observed a reduction in thirty-day mortality in women&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">17</span></a> Further research is of utmost importance&#44; and the use of artificial intelligence may help reduce existing bias&#46;<a class="elsevierStyleCrossRef" href="#bib0195"><span class="elsevierStyleSup">17</span></a></p><p id="par0205" class="elsevierStylePara elsevierViewall">There are sex-based differences in the pathophysiology of acute myocardial infarction &#40;AMI&#41;<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">1&#44;5&#44;8&#44;13&#44;14</span></a> which may play a role in mortality&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">13</span></a> While plaque rupture and thrombus formation are established mechanisms in men&#44; plaque erosion&#44;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">4</span></a> inflammation&#44; endothelial dysfunction&#44; coronary vasospasm&#44; spontaneous coronary dissection and connective tissue disorders may have a role in women&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">1</span></a> Furthermore&#44; women have smaller vessels&#44; fewer collaterals and increased vascular stiffness&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">13</span></a> Estrogen may act as a plaque stabilizer&#44; and the small vessel size and higher blood flow may lead to increased endothelial shear stress&#44; thus contributing to plaque erosion&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">4</span></a></p><p id="par0210" class="elsevierStylePara elsevierViewall">Differences in thrombogenicity between sexes may also be a plausible cause related to sex hormones&#59; a study found that women with high thrombus burden in an acute setting had higher cardiovascular mortality compared to men&#46; Moreover&#44; another prospective study found higher clopidogrel resistance in women&#46; High thrombus burden appears to be important in prognosis and may indicate the need for a more aggressive treatment&#46;<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">15</span></a> These factors were not accounted for in our study&#46;</p><p id="par0215" class="elsevierStylePara elsevierViewall">Despite the conflicting results&#44; sex-based differences in AMI cannot be denied&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">7</span></a></p><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Study limitations</span><p id="par0220" class="elsevierStylePara elsevierViewall">This study has several limitations&#44; such as its observational and voluntary nature&#44; with the possibility of inaccurate data and residual confounding factors that were not considered&#46; Several noncardiac characteristics&#44; including psychiatric comorbidities and hormone-related issues were not documented&#46; Another concern is the underrepresentation of women&#44; although our numbers were consistent with several previous analyses&#46; Furthermore&#44; missing follow-up data may result in the loss of significant endpoints&#46; Lastly&#44; the generalization of our findings should be made with caution&#44; even within Portugal&#44; as geographical differences in the management of these patients were not evaluated&#46;</p></span></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Conclusion</span><p id="par0225" class="elsevierStylePara elsevierViewall">There are important sex-related differences in Portuguese STEMI patients&#46; Compared with men&#44; women were older and had a worse cardiovascular risk profile&#46; In terms of clinical management&#44; women were less likely to receive reperfusion therapy as well as other important medications with impact on prognosis&#46; In-hospital mortality was higher in women&#46; Nevertheless&#44; this difference disappeared after attenuation analysis at the end of the first year&#46;</p><p id="par0230" class="elsevierStylePara elsevierViewall">According to our results there is room to improve the clinical management of women with STEMI&#46; Efforts should be made toward achieving an equal standard of care&#46; Standardized diagnosis and treatment protocols&#44; as well as education campaigns targeting the general population and clinicians&#44; may help reduce this sex bias&#46; Noncardiac comorbidities should also be accounted for&#46;</p><p id="par0235" class="elsevierStylePara elsevierViewall">For a better understanding of sex differences in STEMI patients&#44; further studies are needed&#44; as they may help to improve medical therapy tailored according to sex and to reduce AMI mortality&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Authors&#8217; contributions</span><p id="par0240" class="elsevierStylePara elsevierViewall">During the preparation of this work the author&#40;s&#41; used ChatGPT 3&#46;5 to correct grammar errors&#46; After using this tool&#47;service&#44; the author&#40;s&#41; reviewed and edited the content as needed and take&#40;s&#41; full responsibility for the content of the publication&#46;</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Ethical approval</span><p id="par0245" class="elsevierStylePara elsevierViewall">The ProACS registry is approved by the Portuguese Data Protection Authority &#40;No&#46; 3140&#47;2010&#41; and registered at ClinicalTrials&#46;gov &#40;<a href="ctgov:NCT01642329">NCT01642329</a>&#41;&#46;</p></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">Conflicts of interest</span><p id="par0250" class="elsevierStylePara elsevierViewall">The authors have no conflicts of interest to declare&#46;</p></span></span>"
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          "palabras" => array:6 [
            0 => "Enfarte agudo do mioc&#225;rdio"
            1 => "STEMI"
            2 => "Diferen&#231;as entre sexos"
            3 => "Diagn&#243;stico"
            4 => "Tratamento"
            5 => "Progn&#243;stico"
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    "resumen" => array:2 [
      "en" => array:3 [
        "titulo" => "Abstract"
        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Introduction and objectives</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Sex differences among patients with acute myocardial infarctions remain a matter of debate&#46; Inequalities in presentation&#44; diagnosis&#44; treatment&#44; and prognosis are frequently observed&#44; contributing to a worse prognosis in women&#46; The aim of this study was to investigate sex-related differences in Portuguese ST-segment elevation myocardial infarction &#40;STEMI&#41; patients&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">The authors conducted a retrospective analysis of STEMI patients included in the Portuguese Registry on Acute Coronary Syndromes&#44; between October 2010 and 2022&#46; The two co-primary endpoints were in-hospital and one-year mortality&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">A total of 14<span class="elsevierStyleHsp" style=""></span>470 STEMI patients were studied&#46; Women were underrepresented with 3721 individuals &#40;25&#46;7&#37;&#41;&#46; They were significantly older &#40;70 vs&#46; 62 years&#44; p&#60;0&#46;001&#41;&#44; with higher prevalence of cardiovascular risk factors&#44; and underwent less frequently coronary angiography &#40;84&#46;4&#37; vs&#46; 88&#46;5&#37;&#44; p&#60;0&#46;001&#41; and guideline-directed medical therapy &#40;e&#46;g&#46;&#44; aspirin 92&#46;5&#37; vs&#46; 95&#46;4&#37;&#44; beta blockers 79&#46;2&#37; vs&#46; 83&#37;&#44; p&#60;0&#46;001&#41;&#46; Furthermore&#44; they experienced more complications&#44; such as congestive heart failure &#40;23&#46;4&#37; vs&#46; 14&#46;6&#37;&#41;&#44; ischemic stroke &#40;47&#37; vs&#46; 40&#37;&#41;&#44; and in-hospital mortality &#40;8&#46;5&#37; vs&#46; 4&#46;1&#37;&#41; &#40;p&#60;0&#46;001 for all comparisons&#41;&#46; Similarly&#44; they presented higher one-year mortality &#40;11&#46;5&#37; vs&#46; 6&#46;3&#37;&#44; p&#60;0&#46;001&#41;&#46; However&#44; after a multivariate analysis testing significant clinical variables&#44; female sex remained an independent predictor for in-hospital &#40;odds ratio&#61;1&#46;633&#59; 95&#37; CI &#91;1&#46;065&#8211;2&#46;504&#93;&#59; p&#61;0&#46;025&#41;&#44; but not for one-year mortality&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">This analysis reveals sex-related disparities in Portuguese STEMI patients&#46; Despite limitations inherent to registry-based analysis&#44; women were significantly older&#44; with increased cardiovascular risk&#44; less treated&#44; and with higher in-hospital mortality&#46; These disparities should be a concern for clinicians to further improve outcomes and move toward equitable medical care&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0005"
            "titulo" => "Introduction and objectives"
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          1 => array:2 [
            "identificador" => "abst0010"
            "titulo" => "Methods"
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          2 => array:2 [
            "identificador" => "abst0015"
            "titulo" => "Results"
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            "identificador" => "abst0020"
            "titulo" => "Conclusions"
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      "pt" => array:3 [
        "titulo" => "Resumo"
        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Introdu&#231;&#227;o e objetivos</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">As diferen&#231;as entre sexos nos doentes com enfarte agudo do mioc&#225;rdio &#40;EAM&#41; s&#227;o um t&#243;pico controverso&#46; S&#227;o frequentemente descritas disparidades na apresenta&#231;&#227;o&#44; no diagn&#243;stico e no tratamento&#44; as quais contribuem para um pior progn&#243;stico nas mulheres&#46; O objeto desta an&#225;lise foi determinar estas diferen&#231;as no EAM com supradesnivelamento do segmento ST &#40;STEMI&#41;&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">M&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Os autores realizaram uma an&#225;lise retrospetiva de doentes com STEMI inclu&#237;dos no Registo Portugu&#234;s de S&#237;ndromes Coron&#225;rias Agudas&#44; entre outubro de 2010 e 2022&#46; Foram definidos dois <span class="elsevierStyleItalic">endopoints</span> prim&#225;rios&#58; mortalidade intra-hospitalar e mortalidade a um ano&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Foram inclu&#237;dos 14 470 STEMI&#46; O sexo feminino estava sub-representado &#40;3&#46;721 doentes&#44; 25&#44;7&#37;&#41;&#46; As mulheres tinham uma idade superior &#40;70 <span class="elsevierStyleItalic">versus</span> 62 anos&#44; p &#60; 0&#44;001&#41;&#44; com maior preval&#234;ncia de fatores de risco cardiovascular&#44; sendo menos submetidas a angiografia coron&#225;ria &#40;84&#44;4&#37; <span class="elsevierStyleItalic">versus</span> 88&#44;5&#37;&#44; p &#60; 0&#44;001&#41; e a terap&#234;utica m&#233;dica &#40;aspirina 92&#44;5&#37; <span class="elsevierStyleItalic">versus</span> 95&#44;4&#37;&#44; beta bloqueantes 79&#44;2&#37; <span class="elsevierStyleItalic">versus</span> 83&#37;&#44; p &#60; 0&#44;001&#41;&#46; O sexo feminino apresentou mais complica&#231;&#245;es&#58; insufici&#234;ncia card&#237;aca congestiva &#40;23&#44;4&#37; <span class="elsevierStyleItalic">versus</span> 14&#44;6&#37;&#41;&#44; acidente vascular cerebral isqu&#233;mico &#40;47 <span class="elsevierStyleItalic">versus</span> 40&#37;&#41;&#44; e mortalidade intra-hospitalar &#40;8&#44;5&#37; <span class="elsevierStyleItalic">versus</span> 4&#44;1&#37;&#41; &#40;p &#60; 0&#44;001 para todas as compara&#231;&#245;es&#41;&#46; A mortalidade a um ano foi superior nas mulheres &#40;11&#44;5&#37; <span class="elsevierStyleItalic">versus</span> 6&#44;3&#44; p &#60; 0&#44;001&#41;&#46; Ap&#243;s an&#225;lise multivariada&#44; o sexo feminino manteve-se preditor independente de mortalidade intra-hospitalar &#40;OR &#61; 1&#44;633&#59; CI 95&#37; &#91;1&#44;065-2&#44;504&#93;&#59; p &#61; 0&#44;&#46;025&#41;&#44; mas n&#227;o a um ano&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclus&#227;o</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">O presente estudo&#44; em Portugal&#44; revela m&#250;ltiplas diferen&#231;as entre sexos no STEMI&#46; Apesar das limita&#231;&#245;es inerentes &#224;s an&#225;lises baseadas em registos nacionais&#44; as mulheres t&#234;m idade e risco cardiovascular superior&#44; sendo menos tratadas&#44; com mortalidade superior&#46; Estas desigualdades devem ser uma preocupa&#231;&#227;o para a comunidade m&#233;dica de modo a melhorar <span class="elsevierStyleItalic">outcomes</span> e a proporcionar cuidados m&#233;dicos equitativos&#46;</p></span>"
        "secciones" => array:4 [
          0 => array:2 [
            "identificador" => "abst0025"
            "titulo" => "Introdu&#231;&#227;o e objetivos"
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          1 => array:2 [
            "identificador" => "abst0030"
            "titulo" => "M&#233;todos"
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          2 => array:2 [
            "identificador" => "abst0035"
            "titulo" => "Resultados"
          ]
          3 => array:2 [
            "identificador" => "abst0040"
            "titulo" => "Conclus&#227;o"
          ]
        ]
      ]
    ]
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        "etiqueta" => "Figure 1"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
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        "figura" => array:1 [
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        "descripcion" => array:1 [
          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Kaplan&#8211;Meier curves for one-year mortality&#46;</p>"
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        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
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          "leyenda" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">AMI&#58; acute myocardial infarction&#59; CABG&#58; coronary artery bypass graft&#59; CAD&#58; coronary artery disease&#59; CKD&#58; chronic kidney disease&#59; COPD&#58; chronic obstructive pulmonary disease&#59; HBP&#58; high blood pressure&#59; PAD&#58; peripheral arterial disease&#59; PCI&#58; percutaneous coronary intervention&#59; SD&#58; standard deviation&#59; TIA&#58; transient ischemic attack&#46;</p>"
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total &#40;n&#61;14<span class="elsevierStyleHsp" style=""></span>470&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">64&#40;13&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HBP&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">8764&#47;13999&#40;62&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Dislipidemia&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1934&#47;3472&#40;55&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4305&#47;10720&#40;40&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">678&#47;3708&#40;18&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Diabetes&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2392&#47;10420&#40;23&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1172&#47;3589&#40;32&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">2690&#47;12394&#40;21&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1965&#47;9285&#40;21&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">725&#47;3109&#40;23&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;012&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Angina pectoris&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2100&#47;13025&#40;16&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1528&#47;9766&#40;15&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">572&#47;3259&#40;17&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>History of AMI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1431&#47;13019&#40;11&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1161&#47;9755&#40;11&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">270&#47;3264&#40;8&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Previous PCI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1263&#47;13243&#40;9&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1049&#47;9896&#40;10&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">214&#47;3347&#40;6&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Previous CABG&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">167&#47;13282&#40;1&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">132&#47;9925&#40;1&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">35&#47;3357&#40;1&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;196&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Ischemic stroke&#47;TIA&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">697&#47;13182&#40;5&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">486&#47;9869&#40;4&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">211&#47;3313&#40;6&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>PAD&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">420&#47;13254&#40;3&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">338&#47;9905&#40;3&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">82&#47;3349&#40;2&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;006&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Heart failure&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">414&#47;13126&#40;3&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">265&#47;9819&#40;2&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">149&#47;3307&#40;4&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Valvular heart disease&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">223&#47;13083&#40;1&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">114&#47;9796&#40;1&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">109&#47;3287&#40;3&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CKD&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">606&#47;12472&#40;4&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">406&#47;9312&#40;4&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">200&#47;3160&#40;6&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cancer&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">514&#47;11669&#40;4&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">339&#47;8724&#40;3&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">175&#47;2945&#40;5&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>COPD&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">464&#47;13162&#40;3&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">344&#47;9824&#40;3&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">120&#47;3338&#40;3&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;801&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Dementia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">188&#47;10722&#40;1&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">84&#47;8026&#40;1&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">104&#47;2696&#40;3&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Family history CAD&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">915&#47;13211&#40;6&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">693&#47;9835&#40;7&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">222&#47;3376&#40;6&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;353&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab3662549.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Patient baseline characteristics&#46;</p>"
        ]
      ]
      2 => array:8 [
        "identificador" => "tbl0010"
        "etiqueta" => "Table 2"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
          0 => array:3 [
            "identificador" => "at2"
            "detalle" => "Table "
            "rol" => "short"
          ]
        ]
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          "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">BNP&#58; B-type natriuretic peptide&#59; CrCl&#58; creatinine clearance&#59; GRACE&#58; global registry of acute coronary events&#59; Hb&#58; hemoglobin&#59; LDL&#58; low-density lipoprotein&#59; LVEF&#58; left ventricular ejection fraction&#46;</p>"
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Total &#40;n&#61;14<span class="elsevierStyleHsp" style=""></span>470&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Male &#40;n&#61;10<span class="elsevierStyleHsp" style=""></span>749&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Chest pain &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Dyspnea &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">207&#47;13436&#40;1&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">120&#47;10003&#40;1&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">87&#47;3433&#40;2&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Killip class I &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">10931&#47;12899&#40;84&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">8370&#47;9649&#40;86&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2561&#47;3250&#40;78&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Killip class II&#47;III&#47;IV &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">1968&#47;12899&#40;15&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1279&#47;9649&#40;13&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">689&#47;3250&#40;21&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>GRACE risk score &#62;140&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5812&#47;10145&#40;57&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">3996&#47;7596&#40;52&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1816&#47;2549&#40;71&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Complementary diagnostic exams</span></td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cr &#62;2 mg&#47;dL &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">1000&#47;9223&#40;10&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">647&#47;6837&#40;9&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">353&#47;2386&#40;14&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CrCl &#60;60 mL&#47;min&#47;1&#46;73 m<span class="elsevierStyleSup">2</span> &#40;&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2655&#47;10442&#40;25&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1494&#47;7821&#40;19&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">1161&#47;2621&#40;44&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CrCl &#60;30 mL&#47;min&#47;1&#46;73 m<span class="elsevierStyleSup">2</span> &#40;&#37;&#41;<a class="elsevierStyleCrossRef" href="#tblfn0005">&#42;</a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">507&#47;11839&#40;4&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">266&#47;8800&#40;3&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">241&#47;3039&#40;7&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hb 8&#8211;10 g&#47;dL &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">270&#47;11164&#40;2&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">123&#47;8358&#40;1&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">147&#47;2806&#40;5&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>BNP &#40;pg&#47;mL&#41; &#8211; mean &#40;SD&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">421&#40;792&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">338&#40;630&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">643&#40;1083&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>LDL &#40;mg&#47;dL&#41; &#8211; mean &#40;SD&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">121&#40;41&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">122&#40;41&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">119&#40;42&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;763&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>LCx&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1954&#47;9843&#40;19&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1574&#47;7547&#40;20&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">380&#47;2296&#40;16&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>LMA&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">140&#47;8954&#40;1&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">104&#47;6845&#40;1&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">36&#47;2109&#40;1&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;544&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Graft&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">50&#47;147&#40;34&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">43&#47;118&#40;36&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">7&#47;29&#40;24&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;210&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Multivessel disease &#40;&#37;&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">4640&#47;10639&#40;43&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">3567&#47;8034&#40;44&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1073&#47;2605&#40;41&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">7164&#47;10469&#40;68&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">5578&#47;7934&#40;70&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">1586&#47;2535&#40;62&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Femoral access&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Single-vessel PCI&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Beta blocker&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">9491&#47;12161&#40;78&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7199&#47;9081&#40;79&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>MRA&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1466&#47;12107&#40;12&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1052&#47;9032&#40;11&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">414&#47;3075&#40;13&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;008&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Diuretics&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3219&#47;12111&#40;26&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">1097&#47;3076&#40;35&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Inotropes&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
              "imagenFichero" => array:1 [
                0 => "xTab3662553.png"
              ]
            ]
          ]
        ]
        "descripcion" => array:1 [
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        ]
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      4 => array:8 [
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        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "detalles" => array:1 [
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            "identificador" => "at4"
            "detalle" => "Table "
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          ]
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            0 => array:2 [
              "tabla" => array:1 [
                0 => """
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Aspirin&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">8009&#47;8393&#40;95&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Clopidogrel&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;504&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">Ticagrelor&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">2610&#47;11244&#40;23&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">2032&#47;8466&#40;24&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">578&#47;2778&#40;20&#44;8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Anticoagulants&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Statins&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t">10401&#47;11253&#40;92&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">7902&#47;8472&#40;93&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2499&#47;2781&#40;89&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
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                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
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                  \t\t\t\t">ACEi&#47;ARB&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">9240&#47;11121&#40;83&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7078&#47;8384&#40;84&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Beta blocker&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9122&#47;11110&#40;82&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">6958&#47;8379&#40;83&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">2164&#47;2731&#40;79&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">MRA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1310&#47;11210&#40;11&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">951&#47;8439&#40;11&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">359&#47;2771&#40;13&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">0&#46;016&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diuretics&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2572&#47;11220&#40;22&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">1693&#47;8443&#40;20&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">879&#47;2777&#40;31&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Cardiac rehabilitation referral&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2662&#47;11483&#40;23&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2077&#47;8512&#40;24&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">585&#47;2971&#40;19&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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          "leyenda" => "<p id="spar0090" class="elsevierStyleSimplePara elsevierViewall">AV&#58; atrioventricular&#59; CHF&#58; congestive heart failure&#59; CV&#58; cardiovascular&#59; IH&#58; in-hospital&#59; SVT&#58; sustained ventricular tachycardia&#46;</p>"
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Male &#40;n&#61;10<span class="elsevierStyleHsp" style=""></span>749&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CHF&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">2182&#47;12960&#40;16&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">1416&#47;9680&#40;14&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">766&#47;3280&#40;23&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cardiogenic shock&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">834&#47;12898&#40;6&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">517&#47;9565&#40;5&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">317&#47;3237&#40;9&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Atrial fibrillation&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">672&#47;12949&#40;5&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">445&#47;9673&#40;4&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">227&#47;3276&#40;6&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cardiac arrest&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">656&#47;12966&#40;5&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">480&#47;9684&#40;5&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">176&#47;3282&#40;5&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;359&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>AV block&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">548&#47;12964&#40;4&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">358&#47;9682&#40;3&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">190&#47;3282&#40;5&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SVT&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">272&#47;12962&#40;2&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">200&#47;9681&#40;2&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">72&#47;3281&#40;2&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;657&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Mechanical complication&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">131&#47;12962&#40;1&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">71&#47;9681&#40;0&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">60&#47;3281&#40;1&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Stroke&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">87&#47;12954&#40;0&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&#47;9674&#40;0&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">47&#47;3280&#40;1&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Reinfarction&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">93&#47;12962&#40;0&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">63&#47;9682&#40;0&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">30&#47;3280&#40;0&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;122&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Major bleeding&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">82&#47;12802&#40;0&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">43&#47;9565&#40;0&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">39&#47;3237&#40;1&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  <table border="0" frame="\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">0&#46;272&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;166&#8211;0&#46;445&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">AECi &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;492&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;298&#8211;0&#46;814&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">0&#46;006&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Statin &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;118&#8211;0&#46;384&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Inotropes &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">9&#46;082&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&#46;598&#8211;14&#46;757&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Amiodarone &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;711&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;644&#8211;4&#46;468&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diuretics &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;710&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t">1&#46;040&#8211;2&#46;812&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;034&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">LVEF &#60;30&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">20&#46;231&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t">10&#46;648&#8211;38&#46;439&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0095" class="elsevierStyleSimplePara elsevierViewall">Multivariate analysis for in-hospital mortality &#40;other variables included not shown&#41;&#46;</p>"
        ]
      ]
      7 => array:8 [
        "identificador" => "tbl0035"
        "etiqueta" => "Table 7"
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          0 => array:3 [
            "identificador" => "at7"
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        "tabla" => array:2 [
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            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
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                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Variables&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">HR&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">p-Value&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">Sex &#40;F&#46; vs&#46; M&#46;&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;158&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;851&#8211;1&#46;590&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">GRACE risk score &#62;140&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;100&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;196&#8211;3&#46;687&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age &#62;75 vs&#46; &#60;60 years&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;683&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;560&#8211;4&#46;616&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Killip class &#62;1&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;524&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;062&#8211;2&#46;187&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;022&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Dyslipidemia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;616&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;455&#8211;0&#46;833&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;002&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Heart failure&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;78&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;039&#8211;3&#46;049&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;036&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Ischemic stroke&#47;TIA&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;163&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;043&#8211;1&#46;297&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;007&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ACEi &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;543&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;382&#8211;0&#46;773&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">CCB &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;231&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;233&#8211;4&#46;038&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;008&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diuretics &#40;inpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;627&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;123&#8211;2&#46;358&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;010&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">LVEF &#60;50&#37; vs&#46; &#62;50&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;930&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;362&#8211;2&#46;735&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">LVEF &#60;30&#37; vs&#46; &#62;30&#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;817&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;124&#8211;2&#46;937&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;015&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">HF &#40;complication&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;541&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;074&#8211;2&#46;210&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;019&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Aspirin &#40;outpatient&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
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                  \t\t\t\t">0&#46;454&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;279&#8211;0&#46;738&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;001&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
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        "descripcion" => array:1 [
          "en" => "<p id="spar0105" class="elsevierStyleSimplePara elsevierViewall">Cox&#39;s hazard regression &#40;one-year mortality&#41; &#40;other variables included not shown&#41;&#46;</p>"
        ]
      ]
    ]
    "bibliografia" => array:2 [
      "titulo" => "References"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0015"
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            0 => array:3 [
              "identificador" => "bib0115"
              "etiqueta" => "1"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Sex-related differences in the management and outcomes of patients hospitalized with ST-elevation myocardial infarction&#58; a comparison within four European myocardial infarction registries"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:3 [
                            0 => "T&#46; Hellgren"
                            1 => "M&#46; Bl&#246;ndal"
                            2 => "J&#46; Jortveit"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:1 [
                      "Revista" => array:3 [
                        "tituloSerie" => "Eur Heart J Open"
                        "fecha" => "2022"
                        "volumen" => "2"
                      ]
                    ]
                  ]
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                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Sex differences in treatment and outcomes of patients with in-hospital ST-elevation myocardial infarction"
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Informação do artigo
ISSN: 08702551
Idioma original: Inglês
Dados atualizados diariamente
Ano/Mês Html Pdf Total
2024 Novembro 21 11 32
2024 Outubro 115 46 161
2024 Setembro 70 65 135
2024 Agosto 8 17 25

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