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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Introduction</span><p id="par0065" class="elsevierStylePara elsevierViewall">Invasive treatment strategies&#44; together with aggressive antithrombotic medication&#44; have been shown to reduce ischemic complications in patients with non-ST-elevation acute coronary syndromes &#40;NSTE-ACS&#41;&#44; although at the cost of an increase in bleeding complications&#46;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#8211;4</span></a> Weighing the risks and benefits of these therapies is crucial for reducing mortality in these patients&#44; and the European Society of Cardiology &#40;ESC&#41; currently recommends the use of scores to stratify ischemic risk&#44; such as the GRACE score&#44;<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a> and bleeding risk&#44; such as the CRUSADE score&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p><p id="par0070" class="elsevierStylePara elsevierViewall">Advanced age is associated with greater prevalence and extent of coronary artery disease &#40;CAD&#41; and higher risk of ischemic complications and mortality&#59; 30&#37; of deaths related to myocardial infarction &#40;MI&#41; occur in patients aged over 85&#44;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> and most deaths in patients aged &#8805;75 years are of ischemic origin&#46;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> Given their increased risk&#44; elderly patients would in theory benefit more from therapies that improve outcomes&#46;<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">9&#8211;11</span></a> However&#44; the particular characteristics of this age-group &#8211; presence of multiple comorbidities&#44; reduced ability to perform activities of daily living&#44; and physical&#44; psychological and cognitive frailty &#8211; affect prognosis after NSTE-ACS and limit the benefit of aggressive therapies&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> Furthermore&#44; drug metabolism is altered in the elderly&#44; due to deterioration of renal and liver function&#44; interactions caused by multiple medications&#44; changes in body composition and comorbidities&#46; These factors make older patients more likely to suffer adverse effects of therapy and are responsible for the significantly higher incidence of bleeding complications in this age-group&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> As a result&#44; physicians are wary of using invasive treatments and aggressive antithrombotic medication in the elderly&#44; despite their potential benefit&#46; This is reflected in the results of various series that show a low rate of use of such therapies in older age-groups&#44; even in the absence of contraindications&#46;<a class="elsevierStyleCrossRefs" href="#bib0050"><span class="elsevierStyleSup">10&#44;11</span></a></p><p id="par0075" class="elsevierStylePara elsevierViewall">Notwithstanding the increased complexity of management in elderly patients with NSTE-ACS&#44; data on those aged &#8805;80 years are limited&#44; since such patients are frequently excluded from clinical trials&#46;<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7&#44;11</span></a> Current guidelines for this population are thus based on extrapolation of data for younger patients&#44; which may not be applicable to such advanced ages&#46; Specifically&#44; it is not known whether the scores recommended for assessing ischemic and bleeding risk are appropriate for this age-group&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">It is thus important to obtain information from other sources&#44; such as registries&#46; The Portuguese Registry on Acute Coronary Syndromes &#40;ProACS&#41;<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> is sufficiently robust to assess this population&#44; as shown by other studies based on its results&#46;<a class="elsevierStyleCrossRefs" href="#bib0065"><span class="elsevierStyleSup">13&#44;14</span></a></p><p id="par0085" class="elsevierStylePara elsevierViewall">The main aims of this study are to assess the applicability of the GRACE and CRUSADE scores to patients aged &#8805;80 years with NSTE-ACS&#44; and to identify the main predictors of in-hospital mortality &#40;IHM&#41; and major bleeding &#40;MB&#41; in this population&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Study design</span><p id="par0090" class="elsevierStylePara elsevierViewall">In this multicenter observational study of patients prospectively enrolled in the second phase of the ProACS<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> with a diagnosis of NSTE-ACS and aged &#8805;80 years&#44; predictors of IHM and in-hospital MB were analyzed and prediction models &#40;PM&#41; were created for these endpoints&#46; The accuracy of the GRACE and CRUSADE scores and the prediction models for IHM &#40;IHM-PM&#41; and MB &#40;MB-PM&#41; were then compared&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Patient selection</span><p id="par0095" class="elsevierStylePara elsevierViewall">We analyzed 544 consecutive patients aged &#8805;80 years diagnosed with NSTE-ACS in 14 Portuguese hospitals and included in the ProACS between October 1&#44; 2010 and October 25&#44; 2012&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">NSTE-ACS was defined on the basis of an admission diagnosis of non-ST-elevation myocardial infarction &#40;NSTEMI&#41;&#44; defined as lack of persistent ST elevation &#40;&#60;30 min&#41; associated with elevated cardiac biomarkers &#40;troponin or CK-MB&#41; in a clinical context suggestive of myocardial ischemia&#44; or unstable angina &#40;UA&#41;&#44; defined as angina or anginal equivalent&#44; with or without ECG changes and without elevated cardiac biomarkers&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">The ProACS<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> is an observational study with continuous and prospective inclusion of all adult patients &#40;&#8805;18 years&#41; diagnosed with acute coronary syndrome &#40;ACS&#41; within 48 hours of symptom onset&#46; MI types 2&#44; 4 and 5 according to the Joint ESC&#47;ACCF&#47;AHA&#47;WHF Task Force for the Redefinition of Myocardial Infarction &#40;2007&#41;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> were excluded&#46; Further information on the registry protocol is available on the website of the Portuguese Society of Cardiology&#46;<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a></p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Data collection</span><p id="par0110" class="elsevierStylePara elsevierViewall">The following variables from the ProACS were included in the univariate analysis&#58; demographic data &#40;age&#44; gender&#44; body mass index &#91;BMI&#93;&#41;&#59; cardiovascular risk factors &#40;documented history of hypertension&#44; diabetes&#44; dyslipidemia&#44; current smoking in the 30 days before admission&#44; family history of CAD&#41;&#59; personal cardiovascular &#40;MI&#44; heart failure &#91;HF&#93;&#44; stroke&#47;transient ischemic attack&#41; and non-cardiovascular history &#40;cancer&#44; clinically significant or life-threatening bleeding&#44; dementia&#44; chronic obstructive pulmonary disease &#91;COPD&#93;&#44; chronic renal disease &#91;defined as previous history or presence of at least one of the following criteria&#58; creatinine prior to admission &#62;2 mg&#47;dl&#44; dialysis or kidney transplantation&#93;&#41;&#59; medication prior to admission &#40;antiplatelets&#58; aspirin&#44; clopidogrel&#44; both&#44; or others&#59; anticoagulants&#58; vitamin K antagonists&#44; others&#41;&#59; data on hospital admission &#40;location&#44; mode of transport to the hospital&#44; symptoms&#44; blood pressure&#44; heart rate&#44; Killip class&#44;<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a> ST-segment depression on ECG&#41;&#59; and laboratory test results &#40;isolated troponin elevation&#44; hemoglobin&#44; HbA1c&#44; hematocrit&#44; platelets&#44; blood glucose&#44; and creatinine&#41;&#46; Hematocrit was calculated on the basis of hemoglobin level in accordance with the formula of Bain and Bates<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a> &#40;hematocrit&#61;hemoglobin &#91;g&#47;dl&#93;&#215;3&#41;&#46; Creatinine clearance was estimated using the Cockcroft-Gault formula&#46;<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a> Data on hospital stay were also recorded&#44; including duration&#44; laboratory values &#40;minimum hemoglobin&#44; peak creatinine&#41;&#44; medication &#40;antiplatelets&#58; aspirin&#44; clopidogrel&#44; others&#59; anticoagulants&#58; unfractionated heparin&#44; enoxaparin&#44; fondaparinux&#44; vitamin K antagonists&#44; others&#59; glycoprotein IIb&#47;IIIa inhibitors&#44; beta-blockers&#44; angiotensin-converting enzyme &#91;ACE&#93; inhibitors or angiotensin receptor blockers &#91;ARBs&#93;&#44; statins&#44; nitrates&#44; calcium channel blockers&#44; ivabradine&#44; aldosterone antagonists&#44; diuretics&#44; antiarrhythmics&#44; insulin&#44; oral antidiabetic agents&#44; inotropic agents&#44; levosimendan&#41;&#44; whether coronary angiography was performed&#44; vascular access&#44; use of vascular closure devices&#44; culprit vessel&#44; number of vessels with &#8805;50&#37; stenosis&#44; percutaneous coronary intervention &#40;PCI&#41;&#44; type of stent used&#44; coronary artery bypass grafting &#40;CABG&#41;&#44; left ventricular &#40;LV&#41; function&#44; temporary pacing&#44; intra-aortic balloon pump&#44; and invasive and non-invasive mechanical ventilation&#44; as well as in-hospital complications &#40;reinfarction&#44; mechanical complications&#44; arrhythmias&#44; resuscitation following cardiac arrest&#44; stroke&#44; HF&#44; major bleeding and death&#41;&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">The GRACE<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a> and CRUSADE<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> scores were calculated for all patients&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">Further information on the definition of these variables is available on the website of the Portuguese Society of Cardiology&#46;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Study endpoints</span><p id="par0125" class="elsevierStylePara elsevierViewall">The study endpoints were IHM and MB&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">IHM was defined as death from any cause during hospitalization for NSTE-ACS&#46; MB was defined as intracranial bleeding or bleeding resulting in hemodynamic compromise requiring treatment&#44; the criteria in the Global Use of Strategies to Open Occluded Arteries &#40;GUSTO&#41; trial&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> The GUSTO criteria were chosen because this classification is used in the ProACS&#59; the authors also considered it the most appropriate for the population and the study objectives&#44; since it was important to identify bleeding that was sufficiently severe to justify not using therapies which reduce ischemic complications but increase bleeding risk in ACS&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Statistical analysis</span><p id="par0135" class="elsevierStylePara elsevierViewall">An overall descriptive analysis of the study population was performed based on all the parameters assessed&#46; Categorical variables were expressed as absolute and relative frequencies&#44; and continuous variables as means and standard deviation&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Independent predictors of each of the study endpoints&#44; IHM and MB&#44; were identified&#44; using univariate analysis to test the association between the endpoint and each potential predictor&#46; The chi-square test was used for categorical variables and the t test for continuous variables&#46; The Mann-Whitney test was used when the assumptions for the t test were not met&#46; The normality of the distribution of continuous variables and their equality of variances were determined by the Kolmogorov-Smirnov test and the Levene test&#44; respectively&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">Logistic regression techniques were applied to identify independent predictors of IHM and MB considering all variables with statistical significance&#44; using the forward stepwise method with likelihood ratios&#46; The model included variables used in the CRUSADE score and&#44; separately&#44; variables related to medication during hospitalization&#58; dual antiplatelet therapy&#44; dual antiplatelet therapy plus anticoagulants &#40;triple therapy&#41;&#44; or dual antiplatelet therapy plus glycoprotein IIb&#47;IIIa inhibitors &#40;triple antiplatelet therapy&#41;&#46; The entry and exit values were set at 0&#46;10 and 0&#46;15&#44; respectively&#46; The risk for each endpoint associated with each predictor was estimated using odds ratios and 95&#37; confidence intervals &#40;CI&#41;&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">On the basis of the logistic regression analysis &#40;&#8220;Enter&#8221; method&#41;&#44; prediction models for IHM and MB were created on the basis of variables at admission with statistical significance for each endpoint or clinical significance&#58; IHM-PM &#40;LV ejection fraction &#60;30&#37;&#44; Killip class &#62;I&#44; ST-segment depression on ECG&#44; systolic blood pressure&#44; heart rate&#44; blood glucose&#44; creatinine&#44; and isolated troponin elevation&#41; and MB-PM &#40;history of bleeding&#44; history of COPD&#44; Killip class at admission &#62;I&#44; and admission creatinine&#41;&#46; The fit of the models was assessed using the Hosmer-Lemeshow test&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">On the basis of the regression coefficients&#44; the predictive value of each model was determined and its discriminatory capacity was estimated by calculating the area under the receiver operating characteristic &#40;ROC&#41; curve&#44; together with its sensitivity and specificity&#46; ROC curves evaluate the ability of a model to attribute a higher probability of events to patients who suffered the study endpoints&#46; In this way the diagnostic accuracy of the GRACE score and the IHM-PM for IHM&#44; and the CRUSADE score and the MB-PM for MB&#44; were assessed&#44; using MedCalc for Windows version 9&#46;2&#46;0&#46;1&#46; The rest of the statistical analysis was performed with SPSS version 19&#44; using the Hanley-McNeil test&#46; The level of significance was taken to be 5&#37;&#46;</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Results</span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Characteristics of the study population</span><p id="par0160" class="elsevierStylePara elsevierViewall">The characteristics of the 544 patients studied are presented in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; Ages ranged from 80 to 92 years &#40;mean 84&#41;&#46; Diagnosis at admission was NSTEMI in 91&#37; &#40;n&#61;495&#41; and UA in 9&#37; &#40;n&#61;49&#41;&#46; <a class="elsevierStyleCrossRef" href="#fig0005">Figure 1</a> shows the distribution of the total population and of patients with IHM and MB according to the GRACE and CRUSADE scores&#44; respectively&#46; In the study population&#44; 93&#46;6&#37; of patients who suffered IHM were classified as high risk by the GRACE score&#44; while the CRUSADE score classified only 53&#46;9&#37; of those with MB as high or very high risk&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0165" class="elsevierStylePara elsevierViewall">Around 98&#37; of patients were medicated with aspirin&#44; 86&#46;9&#37; with clopidogrel and 5&#46;9&#37; with glycoprotein IIb&#47;IIIa inhibitors&#46; Enoxaparin was the most commonly prescribed anticoagulant&#46; Coronary angiography was performed in 59&#46;4&#37; of patients&#44; PCI in 34&#46;7&#37; and CABG in 14&#46;7&#37;&#46; The mean GRACE score in this population was 161&#177;27 and the mean CRUSADE score was 44&#177;14&#46; Median hospital stay was five days &#40;25th percentile&#58; 3&#59; 75th percentile&#58; 8&#41;&#59; the IHM endpoint was observed in 6&#46;6&#37; and the MB endpoint in 2&#46;9&#37; &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Predictors of in-hospital mortality</span><p id="par0170" class="elsevierStylePara elsevierViewall">In univariate analysis&#44; IHM was associated with higher heart rate and creatinine on admission&#44; peak creatinine&#44; and Killip class &#62;I&#44; ST-segment depression&#44; isolated troponin elevation&#44; and lower systolic blood pressure on admission&#46; In-hospital survival was associated with medication with beta-blockers&#44; calcium channel blockers and ACE inhibitors&#47;ARBs&#44; coronary angiography and PCI&#44; and absence of left main disease&#46; Patients who died during hospitalization more frequently received levosimendan&#44; inotropic agents&#44; mechanical ventilation and temporary pacing&#44; and had a higher prevalence of ischemic and bleeding complications &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; No association was seen between IHM and age&#44; cardiovascular risk factors&#44; previous medication&#44; vascular access or closure devices used in coronary angiography&#44; type of stent used for PCI&#44; or CABG&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0175" class="elsevierStylePara elsevierViewall">In multivariate analysis&#44; independent predictors of IHM were Killip class &#62;1 on admission&#44; LV ejection fraction &#60;30&#37;&#44; and MB &#40;which increased the risk of IHM almost 11-fold&#41;&#46; Use of coronary angiography had a protective effect &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">GRACE score and in-hospital mortality prediction model</span><p id="par0185" class="elsevierStylePara elsevierViewall">The GRACE score showed good diagnostic accuracy in identifying patients who died during hospitalization&#44; with an area under the curve &#40;AUC&#41; of 0&#46;75 &#40;95&#37; CI 0&#46;63&#8211;0&#46;87&#44; p&#60;0&#46;001&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Figure 1</a>&#41;&#46; The Youden index for the GRACE score was 170 &#40;sensitivity 77&#37;&#44; specificity 67&#37;&#41;&#46;</p><p id="par0190" class="elsevierStylePara elsevierViewall">The IHM-PM presented a good fit for IHM according to the Hosmer-Lemeshow test &#40;p&#61;0&#46;533&#41;&#46; ROC curve analysis showed excellent discriminatory capacity for IHM&#44; with an AUC of 0&#46;81 &#40;95&#37; CI 0&#46;72&#8211;0&#46;90&#44; p&#60;0&#46;001&#41;&#44; although no significant difference was seen between the AUCs of the two models &#40;0&#46;06&#44; p&#61;0&#46;239&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0010">Figure 2</a>&#41;&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Predictors of in-hospital major bleeding</span><p id="par0195" class="elsevierStylePara elsevierViewall">MB was associated with a history of bleeding or COPD&#44; Killip class &#62;I on admission&#44; higher peak creatinine and lower minimum hemoglobin&#44; treatment with unfractionated heparin&#44; antiplatelets other than aspirin or clopidogrel&#44; and aldosterone antagonists&#44; longer hospital stay and higher IHM &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#41;&#46; On univariate analysis no association was seen between MB and age&#44; gender&#44; other cardiovascular risk factors&#44; previous medication&#44; BMI&#44; admission hemoglobin&#44; creatinine or platelets&#44; medication with glycoprotein IIb&#47;IIIa inhibitors&#44; or coronary angiography&#44; PCI&#44; CABG&#44; type of stent&#44; or vascular access or closure devices&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0200" class="elsevierStylePara elsevierViewall">On multivariate analysis&#44; of all the associations with statistical significance on univariate analysis&#44; only medical therapy during hospitalization &#40;unfractionated heparin&#44; antiplatelets other than aspirin or clopidogrel&#44; and aldosterone antagonists&#41; were independent predictors of MB&#46; The same analysis including these predictors and the parameters of the CRUSADE score identified history of COPD and medication with unfractionated heparin and aldosterone antagonists as predictors of MB&#46; In multivariate analysis including the same predictors and dual antiplatelet or triple therapy separately&#44; marginally significant p values were obtained for COPD and unfractionated heparin&#44; while antiplatelets other than aspirin or clopidogrel and aldosterone antagonists were predictors of MB&#46; In a similar analysis including triple antiplatelet therapy&#44; this was shown to be an independent predictor of MB&#44; as were COPD and medication with aldosterone antagonists &#40;<a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">CRUSADE score and major bleeding prediction model</span><p id="par0205" class="elsevierStylePara elsevierViewall">ROC curve analysis showed that the CRUSADE score had poor diagnostic accuracy in predicting MB in this population&#44; with an AUC of 0&#46;51 &#40;95&#37; CI 0&#46;30&#8211;0&#46;63&#44; p&#61;0&#46;942&#59; <a class="elsevierStyleCrossRef" href="#fig0015">Figure 3</a>&#41;&#46;</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0210" class="elsevierStylePara elsevierViewall">The MB-PM presented a good fit on the Hosmer-Lemeshow test &#40;p&#61;0&#46;111&#41; and on ROC curve analysis showed good discriminatory capacity for MB in the study population &#40;AUC 0&#46;68&#44; 95&#37; CI 0&#46;52&#8211;0&#46;84&#44; p&#61;0&#46;032&#59; <a class="elsevierStyleCrossRef" href="#fig0015">Figure 3</a>&#41;&#46;</p></span></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Discussion</span><p id="par0215" class="elsevierStylePara elsevierViewall">The findings of this study suggest that the GRACE score is suitable for IHM risk assessment in octogenarians with NSTE-ACS&#44; but the CRUSADE score appears to be inadequate for assessment of bleeding risk in this age-group&#46; To our knowledge&#44; this is the first study to assess the applicability of the GRACE and CRUSADE scores in this population&#46;</p><p id="par0220" class="elsevierStylePara elsevierViewall">The comorbidities and cardiovascular risk factors identified in our study were similar to those found in other series on NSTE-ACS in elderly patients&#46;<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7&#44;9</span></a></p><p id="par0225" class="elsevierStylePara elsevierViewall">The frequency of antithrombotic therapy in our sample was similar to that in a substudy of the CRUSADE initiative in NSTE-ACS patients aged 75&#8211;89 years&#44; except that in the CRUSADE cohort medication with glycoprotein IIb&#47;IIIa inhibitors was more frequent &#40;29&#46;2&#37; vs&#46; 5&#46;9&#37;&#41;&#46; Coronary angiography and PCI were less frequent in the CRUSADE subgroup&#44; although results were only presented for procedures performed within 48 hours of admission&#44; and for a different age-group&#46;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> In the Acute Coronary Syndromes Israeli Survey<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> of NSTEMI patients aged &#62;80 years&#44; coronary angiography was slightly less frequent than in our population &#40;55 vs&#46; 59&#46;4&#37;&#41;&#44; in which 91&#37; of patients were admitted for NSTEMI&#46; Even so&#44; 40&#37; of these patients did not undergo angiography and 50&#37; were not revascularized&#46;</p><p id="par0230" class="elsevierStylePara elsevierViewall">Coronary angiography was associated in our study with lower IHM but not with MB&#46; PCI was also associated with lower IHM&#44; although not independently&#46; These findings are in agreement with those of the substudy of the Acute Coronary Syndromes Israeli Survey&#44; in which a reduction in one-year mortality was seen following revascularization &#40;hazard ratio &#91;HR&#93; 0&#46;5&#44; p&#61;0&#46;004&#41;&#44; and a reduction in one-year &#40;HR 0&#46;4&#44; p&#61;0&#46;04&#41; and 30-day mortality &#40;HR 0&#46;38&#44; p&#61;0&#46;02&#41; with coronary angiography within 24 hours of NSTEMI in octogenarian patients&#46; The substudy of the CRUSADE registry<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> also concluded that adherence to treatment guidelines&#44; including catheterization within 48 hours of symptom onset&#44; was associated with lower IHM in patients aged over 75 with NSTE-ACS&#46;</p><p id="par0235" class="elsevierStylePara elsevierViewall">The better predictive capacity of coronary angiography compared to PCI in this population may reflect the different revascularization strategies adopted&#46; Furthermore&#44; PCI was not associated with MB&#46;</p><p id="par0240" class="elsevierStylePara elsevierViewall">It should&#44; however&#44; be borne in mind that there may have been a selection bias due to the physical&#44; cognitive and social situation of the elderly&#59; this may have led to the selection of fitter patients for invasive treatment&#44; which is known to have prognostic benefit&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> These findings highlight the need to adjust risk stratification scores to the specific characteristics of this age-group&#46;</p><p id="par0245" class="elsevierStylePara elsevierViewall">The incidence of IHM and MB in the ProACS was lower than reported in other studies on similar populations&#44; including the substudy of the CRUSADE registry<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> &#40;the largest on NSTE-ACS in the elderly&#44; with 5557 patients&#41;&#44; in which IHM was 7&#46;8&#37; &#40;vs&#46; 6&#46;6&#37;&#41; and MB was observed in 13&#46;1&#37; &#40;vs&#46; 2&#46;9&#37;&#41;&#46; The difference in MB may be due to the wider definition of bleeding used&#44; as well as the inclusion of other criteria in the CRUSADE study&#44; such as an absolute hematocrit drop of 12&#37;&#44; intracranial hemorrhage&#44; retroperitoneal bleed&#44; red blood cell transfusion in conjunction with a documented bleeding event if baseline hematocrit was &#60;28&#37;&#44; or any red blood cell transfusion if baseline hematocrit was &#8805;28&#37;&#46;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a></p><p id="par0250" class="elsevierStylePara elsevierViewall">The results of our study clearly show the importance of comorbidities for short-term prognosis in patients aged &#8805;80 years&#44; particularly HF as a predisposing factor for IHM and MB&#44; and COPD for MB&#46; Both are associated with chronic inflammatory states&#44; leading to physical frailty and anemia&#46; In the case of COPD&#44; common therapies such as steroids may also contribute to MB&#46;</p><p id="par0255" class="elsevierStylePara elsevierViewall">Our results also confirm the close and independent relationship between MB and IHM&#46; The increased risk of MB seen with therapies such as unfractionated heparin&#44; antiplatelets other than aspirin or clopidogrel&#44; triple antiplatelet therapy &#40;glycoprotein IIb&#47;IIIa inhibitors associated with dual antiplatelet therapy&#41; and aldosterone antagonists may be due to overdosing&#44; which is a common problem in the elderly&#44; related to deteriorating renal function&#46; Overdosing has also been reported with drugs that require the dose to be adjusted for body weight&#44; such as unfractionated heparin&#44; due to changes in body composition and protein levels in the elderly&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> In the case of antithrombotics&#44; overdosing can increase the risk of bleeding&#46; The association of MB with aldosterone antagonists may be due to various factors&#44; including worsening of renal function by the drug&#39;s action and its wider use in patients with HF&#46;</p><p id="par0260" class="elsevierStylePara elsevierViewall">The variables in each of the models created were selected with the aim of the models being applied at hospital admission&#46; For this reason&#44; creatinine on admission was included in the MB-PM even though peak creatinine was of statistical significance&#44; given the low number of variables that would have been included following the initial criteria&#46; Hemoglobin on admission was not included since the demonstrated association of its minimum value with MB is merely a consequence of the latter&#46;</p><p id="par0265" class="elsevierStylePara elsevierViewall">According to our analysis&#44; the GRACE score appropriately identified IHM in this population&#44; without significant differences from the adjusted IHM-PM&#59; its Youden index was higher than that of the high-risk cutoff for IHM recommended in the ESC guidelines for NSTE-ACS&#44;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#44;2</span></a> which would correspond to an adjustment for this age-group&#46; However&#44; the CRUSADE score&#44; which is also recommended in the guidelines&#44; was inadequate for predicting MB in this population&#46; This may be partly explained by the use of a different definition of MB from that in the CRUSADE study&#44; but even so&#44; the CRUSADE score would be expected to show some discriminatory capacity for MB&#44; like the GUSTO criteria&#44; but this was not the case&#46; In an analysis of the ProACS presented at the 2012 ESC Congress&#44;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> the CRUSADE score showed considerably better discriminatory capacity than seen in our study &#40;AUC 0&#46;755&#44; 95&#37; CI 0&#46;69&#8211;0&#46;82&#44; p&#60;0&#46;001&#41;&#59; however&#44; the mean age of the population analyzed was 66&#177;13 years&#46;</p><p id="par0270" class="elsevierStylePara elsevierViewall">These results demonstrate the need for new scores to predict bleeding risk in octogenarians&#46; The MB-PM created for this study could be an alternative&#44; since it demonstrated good diagnostic accuracy for MB&#46; However&#44; since the model was adjusted for this population&#44; it would have to be validated in other samples to ensure that these results can be extended to the general population of octogenarians with NSTE-ACS&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Study limitations</span><p id="par0275" class="elsevierStylePara elsevierViewall">Our study presents real-world data on a significant number of patients for the age-group and disease over a large geographical area&#46; Nevertheless&#44; certain limitations should be borne in mind when interpreting the results&#46;</p><p id="par0280" class="elsevierStylePara elsevierViewall">Since this was an observational study&#44; there may have been selection bias affecting the therapies used&#44; due to the patients&#8217; physical&#44; psychological&#44; cognitive and social situation&#44; which also affects prognosis&#46; Another limitation is the lack of information on patients&#8217; frailty&#46; The ProACS contains information on comorbidities potentially associated with greater frailty&#44; such as dementia&#44; history of stroke&#44; cancer&#44; renal failure and COPD&#44; but this association varies according to the severity of the disease&#46; Thus&#44; as in other studies on this subject&#44; the different aspects of frailty are not clearly defined or distinguished &#40;physical&#44; cognitive&#44; psychological or social&#41;&#44; together with functional limitations and quality of life&#44; even though these have been described as having a greater impact on prognosis in the elderly than the classic cardiovascular risk factors or comorbidities&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> This information would be relevant to the analysis of therapies used&#44; MB&#44; and IHM&#46;</p><p id="par0285" class="elsevierStylePara elsevierViewall">Although this was a multicenter study&#44; the sample was selected on the basis of the inclusion criteria of the ProACS &#40;a clinical picture suggestive of ACS within 48 hours of symptom onset&#41; and thus may have excluded elderly patients with atypical presentation&#44; which is common in this age-group and can delay diagnosis&#46; Similarly&#44; only octogenarians with NSTE-ACS who survived to hospital admission were included&#44; and so the most severe cases were not included in the analysis&#46; Furthermore&#44; the fact that only 14 Portuguese centers are participating in the ProACS means that its results are not necessarily representative of the general population of octogenarians with NSTE-ACS in Portugal&#46;</p><p id="par0290" class="elsevierStylePara elsevierViewall">Only IHM was analyzed in this study&#44; but long-term mortality and quality of life following discharge are also important when assessing the risks and benefits of different therapies&#46; IHM was used as an endpoint to assess ischemic risk&#44; but as this study shows&#44; it also reflects bleeding risk&#46; Ischemic risk might be more accurately assessed using an endpoint such as fatal or non-fatal MI&#44; but this would entail long-term follow-up&#44; which would further reduce the sample size&#46;</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0155">Conclusions</span><p id="par0295" class="elsevierStylePara elsevierViewall">In patients aged &#8805;80 years with NSTE-ACS&#44; the GRACE score was suitable for predicting IHM&#44; but the CRUSADE score was inadequate for assessment of bleeding risk in this age-group&#46; Signs of heart failure on admission&#44; LV ejection fraction &#60;30&#37; and MB were independent predictors of IHM&#46; The main predictors of MB were medication during hospitalization and history of COPD&#46; Use of coronary angiography was associated with better prognosis in terms of IHM and did not increase the risk of MB&#46; These findings suggest that an invasive strategy is beneficial in selected patients&#44; and that new scores are required to assess bleeding risk in this age-group&#46;</p></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0160">Ethical disclosures</span><span id="sec0090" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0165">Protection of human and animal subjects</span><p id="par0300" class="elsevierStylePara elsevierViewall">The authors declare that no experiments were performed on humans or animals for this study&#46;</p></span><span id="sec0095" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0170">Confidentiality of data</span><p id="par0305" class="elsevierStylePara elsevierViewall">The authors declare that they have followed the protocols of their work center on the publication of patient data&#46;</p></span><span id="sec0100" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0175">Right to privacy and informed consent</span><p id="par0310" class="elsevierStylePara elsevierViewall">The authors have obtained the written informed consent of the patients or subjects mentioned in the article&#46; The corresponding author is in possession of this document&#46;</p></span></span><span id="sec0105" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0180">Conflicts of interest</span><p id="par0320" class="elsevierStylePara elsevierViewall">The authors have no conflicts of interest to declare&#46;</p></span></span>"
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              "titulo" => "Patient selection"
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              "titulo" => "Characteristics of the study population"
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              "titulo" => "Predictors of in-hospital mortality"
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              "titulo" => "GRACE score and in-hospital mortality prediction model"
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              "titulo" => "Predictors of in-hospital major bleeding"
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              "titulo" => "CRUSADE score and major bleeding prediction model"
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              "titulo" => "Protection of human and animal subjects"
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              "titulo" => "Confidentiality of data"
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    "pdfFichero" => "main.pdf"
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    "fechaRecibido" => "2013-11-18"
    "fechaAceptado" => "2014-01-24"
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          "clase" => "keyword"
          "titulo" => "Keywords"
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          "palabras" => array:6 [
            0 => "Bleeding"
            1 => "Intervention"
            2 => "Mortality"
            3 => "Octogenarian patients"
            4 => "In-hospital prognosis"
            5 => "Acute coronary syndromes"
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      ]
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        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Palavras-chave"
          "identificador" => "xpalclavsec359703"
          "palabras" => array:6 [
            0 => "Hemorragia"
            1 => "Interven&#231;&#227;o"
            2 => "Mortalidade"
            3 => "Octogen&#225;rios"
            4 => "Progn&#243;stico intra-hospitalar"
            5 => "S&#237;ndromes coron&#225;rias agudas"
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    "resumen" => array:2 [
      "en" => array:2 [
        "titulo" => "Abstract"
        "resumen" => "<span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Assessment of ischemic and bleeding risk is critical for the management of elderly patients with acute coronary syndromes&#44; but it has been little studied&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0015">Objective</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">This study aims to assess the applicability of the GRACE and CRUSADE scores in patients aged &#8805;80 years with non-ST-elevation acute coronary syndrome &#40;NSTE-ACS&#41;&#44; and to identify the main predictors of in-hospital mortality and major bleeding in this population&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">We analyzed 544 patients aged &#8805;80 years with NSTE-ACS included in the Portuguese Registry on Acute Coronary Syndromes and identified the predictors of in-hospital mortality and major bleeding during hospitalization&#46; Prediction models were created for these endpoints&#44; then compared with the GRACE and CRUSADE scores&#44; and their applicability to the study population was assessed&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Use of coronary angiography was associated with reduced risk of in-hospital mortality&#44; without increasing risk of major bleeding &#40;OR 0&#46;2&#44; 95&#37; CI 0&#46;006&#8211;0&#46;49&#44; p&#61;0&#46;001&#41;&#46; Major bleeding was an independent predictor of in-hospital mortality &#40;OR 10&#46;9&#44; 95&#37; CI 2&#46;36&#8211;50&#46;74&#44; p&#61;0&#46;002&#41;&#44; and was associated with comorbidities and pharmacological therapy during hospitalization&#46; The GRACE score showed good diagnostic accuracy for in-hospital mortality &#40;AUC 0&#46;75&#44; 95&#37; CI 0&#46;63&#8211;0&#46;87&#44; p&#60;0&#46;001&#41;&#44; but the CRUSADE score had weak discriminatory capacity for major bleeding &#40;AUC 0&#46;51&#44; 95&#37; CI 0&#46;30&#8211;0&#46;63&#44; p&#61;0&#46;942&#41;&#44; unlike our prediction model &#40;AUC 0&#46;68&#44; 95&#37; CI 0&#46;52&#8211;0&#46;84&#44; p&#61;0032&#41;&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0030">Conclusions</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">The GRACE score is suitable for risk assessment in octogenarians with NSTE-ACS&#44; but the CRUSADE score is inadequate&#44; and new scores are required to assess bleeding risk in this age-group&#46;</p>"
      ]
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        "titulo" => "Resumo"
        "resumen" => "<span class="elsevierStyleSectionTitle" id="sect0040">Introdu&#231;&#227;o</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">A avalia&#231;&#227;o do risco isqu&#233;mico e hemorr&#225;gico &#233; fundamental na abordagem dos idosos com s&#237;ndromes coron&#225;rias agudas&#44; mas tem sido pouco estudada&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0045">Objetivo</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Este estudo pretende avaliar a adequa&#231;&#227;o dos <span class="elsevierStyleItalic">scores</span> GRACE e CRUSADE a doentes com s&#237;ndrome coron&#225;ria aguda sem supradesnivelamento-ST e idade &#8805;80 anos&#44; e identificar os principais preditores de mortalidade intra-hospitalar e hemorragia <span class="elsevierStyleItalic">major</span> nesta popula&#231;&#227;o&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0050">M&#233;todos</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Foram avaliados 544 doentes com idade &#8805;80 anos com s&#237;ndrome coron&#225;ria aguda sem supradesnivelamento-ST&#44; inclu&#237;dos no Registo Portugu&#234;s de S&#237;ndromes Coron&#225;rias Agudas&#46; Foram identificados os preditores de mortalidade intra-hospitalar e de hemorragia <span class="elsevierStyleItalic">major</span> durante o internamento&#46; Criaram-se modelos preditores destes <span class="elsevierStyleItalic">endpoints</span>&#44; posteriormente comparados com os <span class="elsevierStyleItalic">scores</span> GRACE e CRUSADE&#44; e avaliada a sua adequa&#231;&#227;o &#224; popula&#231;&#227;o em estudo&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">A realiza&#231;&#227;o de coronariografia associou-se a redu&#231;&#227;o do risco de mortalidade intra-hospitalar&#44; sem aumento do risco de hemorragia <span class="elsevierStyleItalic">major</span> &#40;OR 0&#44;2&#44; IC 95&#37; 0&#44;006-0&#44;49&#44; p&#61;0&#44;001&#41;&#46; A hemorragia <span class="elsevierStyleItalic">major</span> foi preditora independente de mortalidade intra-hospitalar &#40;OR 10&#44;9&#44; IC 95&#37; 2&#44;36-50&#44;74&#44; p&#61;0&#44;002&#41;&#44; e associou-se a comorbilidades e &#224; terap&#234;utica farmacol&#243;gica institu&#237;da&#46; O <span class="elsevierStyleItalic">score</span> GRACE apresentou boa acuidade diagn&#243;stica para mortalidade intra-hospitalar &#40;AUC 0&#44;75&#44; IC 95&#37; 0&#44;63-0&#44;87&#44; p&#60;0&#44;001&#41;&#44; mas o CRUSADE mostrou fraca capacidade discriminat&#243;ria de hemorragia <span class="elsevierStyleItalic">major</span> &#40;AUC 0&#44;51&#44; IC 95&#37; 0&#44;30-0&#44;63&#44; p&#61;0&#44;942&#41;&#44; contrariamente ao modelo preditor &#40;AUC 0&#44;68&#44; IC 95&#37; 0&#44;52-0&#44;84&#44; p&#61;0&#44;032&#41;&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0060">Conclus&#245;es</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">O <span class="elsevierStyleItalic">score</span> GRACE &#233; adequado para avalia&#231;&#227;o de risco nos octogen&#225;rios&#44; mas o CRUSADE &#233; desajustado&#44; sendo necess&#225;rios novos <span class="elsevierStyleItalic">scores</span> para a avalia&#231;&#227;o de risco hemorr&#225;gico nesta faixa et&#225;ria&#46;</p>"
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    "NotaPie" => array:2 [
      0 => array:2 [
        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0015">Please cite this article as&#58; Faustino A&#44; Mota P&#44; Silva J&#44; Em nome dos Investigadores do Registo Nacional de S&#237;ndromes Coron&#225;rias Agudas da Sociedade Portuguesa de Cardiologia&#46; S&#237;ndromes coron&#225;rias agudas sem supradesnivelamento-ST nos octogen&#225;rios&#58; aplicabilidade dos scores GRACE e CRUSADE&#46; Rev Port Cardiol&#46; 2014&#59;33&#58;617&#8211;627&#46;</p>"
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        "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Centro Nacional de Colec&#231;&#227;o de Dados em Cardiologia&#44; Sociedade Portuguesa de Cardiologia&#46;</p>"
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    ]
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          0 => array:1 [
            "definicion" => array:12 [
              0 => array:2 [
                "termino" => "ACS"
                "descripcion" => "<p id="par0005" class="elsevierStylePara elsevierViewall">acute coronary syndrome</p>"
              ]
              1 => array:2 [
                "termino" => "AUC"
                "descripcion" => "<p id="par0010" class="elsevierStylePara elsevierViewall">area under the curve</p>"
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              2 => array:2 [
                "termino" => "CAD"
                "descripcion" => "<p id="par0015" class="elsevierStylePara elsevierViewall">coronary artery disease</p>"
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              3 => array:2 [
                "termino" => "COPD"
                "descripcion" => "<p id="par0020" class="elsevierStylePara elsevierViewall">chronic obstructive pulmonary disease</p>"
              ]
              4 => array:2 [
                "termino" => "IHM"
                "descripcion" => "<p id="par0025" class="elsevierStylePara elsevierViewall">in-hospital mortality</p>"
              ]
              5 => array:2 [
                "termino" => "MB"
                "descripcion" => "<p id="par0030" class="elsevierStylePara elsevierViewall">major bleeding</p>"
              ]
              6 => array:2 [
                "termino" => "MI"
                "descripcion" => "<p id="par0035" class="elsevierStylePara elsevierViewall">myocardial infarction</p>"
              ]
              7 => array:2 [
                "termino" => "NSTE-ACS"
                "descripcion" => "<p id="par0040" class="elsevierStylePara elsevierViewall">non-ST-elevation acute coronary syndromes</p>"
              ]
              8 => array:2 [
                "termino" => "NSTEMI"
                "descripcion" => "<p id="par0045" class="elsevierStylePara elsevierViewall">non-ST-elevation myocardial infarction</p>"
              ]
              9 => array:2 [
                "termino" => "PM"
                "descripcion" => "<p id="par0050" class="elsevierStylePara elsevierViewall">prediction model</p>"
              ]
              10 => array:2 [
                "termino" => "ProACS"
                "descripcion" => "<p id="par0055" class="elsevierStylePara elsevierViewall">Portuguese Registry on Acute Coronary Syndromes</p>"
              ]
              11 => array:2 [
                "termino" => "UA"
                "descripcion" => "<p id="par0060" class="elsevierStylePara elsevierViewall">unstable angina</p>"
              ]
            ]
          ]
        ]
      ]
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          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Distribution of the total population and of patients with events according to GRACE and CRUSADE scores&#46; IHM&#58; in-hospital mortality&#59; MB&#58; major bleeding&#46;</p>"
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          "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">ROC curve analysis of the GRACE score and IHM-PM for assessment of in-hospital mortality&#46; AUC&#58; area under the curve&#59; CI&#58; confidence interval&#59; Difference&#58; difference between the AUCs of the two ROC curves&#59; IHM-PM&#58; in-hospital mortality prediction model&#46;</p>"
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          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">ROC curve analysis of the CRUSADE score and MB-PM for assessment of major bleeding&#46; AUC&#58; area under the curve&#59; CI&#58; confidence interval&#59; MB-PM&#58; major bleeding prediction model&#46;</p>"
        ]
      ]
      3 => array:7 [
        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:3 [
          "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">BMI&#58; body mass index&#59; CABG&#58; coronary artery bypass grafting&#59; CAD&#58; coronary artery disease&#59; CB&#58; cardiac biomarkers&#59; CC&#58; creatinine clearance&#59; COPD&#58; chronic obstructive pulmonary disease&#59; CRF&#58; chronic renal failure&#59; GP&#58; glycoprotein&#59; HF&#58; heart failure&#59; IABP&#58; intra-aortic balloon pump&#59; IHM&#58; in-hospital mortality&#59; MB&#58; major bleeding&#59; MI&#58; myocardial infarction&#59; MV&#58; mechanical ventilation&#59; NSTEMI&#58; non-ST-segment myocardial infarction&#59; NT-proBNP&#58; N-terminal pro-brain-type natriuretic peptide&#59; PAD&#58; peripheral arterial disease&#59; PCI&#58; percutaneous coronary intervention&#59; SBP&#58; systolic blood pressure&#59; TIA&#58; transient ischemic attack&#59; UA&#58; unstable angina&#59; UFH&#58; unfractionated heparin&#46;</p>"
          "tablatextoimagen" => array:1 [
            0 => array:2 [
              "tabla" => array:1 [
                0 => """
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                  \t\t\t\t  " colspan="4" align="left" valign="\n
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                  \t\t\t\t">84&#177;4&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>HF&#44; &#37; &#40;n&#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">35&#46;1&#37; &#40;191&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Male&#44; &#37; &#40;n&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">53&#46;1&#37; &#40;289&#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"><span class="elsevierStyleHsp" style=""></span>Cardiac arrest&#44; &#37; &#40;n&#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">1&#46;8&#37; &#40;10&#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"><span class="elsevierStyleHsp" style=""></span>BMI&#44; kg&#47;m<span class="elsevierStyleSup">2</span>&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">26&#177;4&nbsp;\t\t\t\t\t\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"><span class="elsevierStyleHsp" style=""></span>Heart rate&#44; bpm&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">81&#177;21&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " colspan="2" align="left" valign="\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>SBP&#44; mmHg&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">142&#177;30&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Hypertension&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">85&#46;7&#37; &#40;466&#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"><span class="elsevierStyleHsp" style=""></span>ST-segment depression&#44; &#37; &#40;n&#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&#46;8&#37; &#40;238&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Diabetes&nbsp;\t\t\t\t\t\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">29&#46;2&#37; &#40;159&#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  " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\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"><span class="elsevierStyleHsp" style=""></span>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">49&#46;1&#37; &#40;267&#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"><span class="elsevierStyleHsp" style=""></span>Hematocrit&#44; &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">37&#46;6&#177;7&#46;2&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Smoker&nbsp;\t\t\t\t\t\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;5&#37; &#40;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"><span class="elsevierStyleHsp" style=""></span>Blood glucose&#44; mg&#47;dl&nbsp;\t\t\t\t\t\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">127 &#40;106&#59;170&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Ex-smoker&nbsp;\t\t\t\t\t\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">12&#46;1&#37; &#40;66&#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"><span class="elsevierStyleHsp" style=""></span>Creatinine&#44; mg&#47;dl&nbsp;\t\t\t\t\t\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">1&#46;1 &#40;0&#46;9&#59; 1&#46;5&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Family history of 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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;6&#37; &#40;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"><span class="elsevierStyleHsp" style=""></span>CC&#44; ml&#47;min<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></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">42&#46;8 &#40;31&#46;8&#59; 55&#46;4&#41;&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="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Personal history&#44; &#37; &#40;n&#41;</span></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"><span class="elsevierStyleHsp" style=""></span>Elevated CB&#44; &#37; &#40;n&#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">20&#46;7&#37; &#40;97&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>MI&nbsp;\t\t\t\t\t\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">30&#37; &#40;163&#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"><span class="elsevierStyleHsp" style=""></span>BNP&#44; pg&#47;ml&nbsp;\t\t\t\t\t\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">127 &#40;106&#59; 170&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Previous revascularization&nbsp;\t\t\t\t\t\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">22&#46;8&#37; &#40;124&#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"><span class="elsevierStyleHsp" style=""></span>NT-proBNP&#44; pg&#47;ml&nbsp;\t\t\t\t\t\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">5400 &#40;1714&#59; 12 600&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>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">13&#46;4&#37; &#40;73&#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  " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Angiography and revascularization</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>PAD&nbsp;\t\t\t\t\t\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;6&#37; &#40;52&#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"><span class="elsevierStyleHsp" style=""></span>Coronary angiography&nbsp;\t\t\t\t\t\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">59&#46;4&#37; &#40;323&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CRF&nbsp;\t\t\t\t\t\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">17&#46;8&#37; &#40;97&#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"><span class="elsevierStyleHsp" style=""></span>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
                  \t\t\t\t\ttop\n
                  \t\t\t\t">34&#46;7&#37; &#40;189&#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\ttop\n
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                  \t\t\t\t">7&#46;9&#37; &#40;43&#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"><span class="elsevierStyleHsp" style=""></span>CABG&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">14&#46;7&#37; &#40;80&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;5&#37; &#40;19&#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
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                  \t\t\t\t  " align="left" valign="\n
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                  \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">6&#46;8&#37; &#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"><span class="elsevierStyleHsp" style=""></span>Invasive MV&nbsp;\t\t\t\t\t\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">1&#46;8&#37; &#40;10&#41;&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  " 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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#46;6&#37; &#40;25&#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"><span class="elsevierStyleHsp" style=""></span>Non-invasive MV&nbsp;\t\t\t\t\t\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">4&#46;0&#37; &#40;22&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HF&nbsp;\t\t\t\t\t\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">17&#46;8&#37; &#40;97&#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"><span class="elsevierStyleHsp" style=""></span>Temporary pacemaker&nbsp;\t\t\t\t\t\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">1&#46;3&#37; &#40;7&#41;&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="2" align="left" valign="\n
                  \t\t\t\t\ttop\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"><span class="elsevierStyleHsp" style=""></span>IABP&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">0&#46;4&#37; &#40;2&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>GRACE&nbsp;\t\t\t\t\t\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">161&#177;27&nbsp;\t\t\t\t\t\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"><span class="elsevierStyleHsp" style=""></span>Inotropic agents&nbsp;\t\t\t\t\t\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">3&#46;9&#37; &#40;21&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CRUSADE&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">44&#177;14&nbsp;\t\t\t\t\t\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"><span class="elsevierStyleHsp" style=""></span>Levosimendan&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">0&#46;9&#37; &#40;5&#41;&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="2" align="left" valign="\n
                  \t\t\t\t\ttop\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
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                  \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">97&#46;6&#37; &#40;531&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>NSTEMI&#44; &#37; &#40;n&#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">91&#37; &#40;495&#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"><span class="elsevierStyleHsp" style=""></span>Clopidogrel&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">86&#46;9&#37; &#40;473&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>UA&#44; &#37; &#40;n&#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&#37; &#40;49&#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"><span class="elsevierStyleHsp" style=""></span>GP IIb&#47;IIIa inhibitors&nbsp;\t\t\t\t\t\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">5&#46;9&#37; &#40;32&#41;&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="2" align="left" valign="\n
                  \t\t\t\t\ttop\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"><span class="elsevierStyleHsp" style=""></span>UFH&nbsp;\t\t\t\t\t\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">13&#46;6&#37; &#40;74&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>MB&nbsp;\t\t\t\t\t\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;9&#37; &#40;16&#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"><span class="elsevierStyleHsp" style=""></span>Enoxaparin&nbsp;\t\t\t\t\t\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">76&#46;3&#37; &#40;415&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>IHM&nbsp;\t\t\t\t\t\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">6&#46;6&#37; &#40;36&#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"><span class="elsevierStyleHsp" style=""></span>Fondaparinux&nbsp;\t\t\t\t\t\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">13&#46;8&#37; &#40;75&#41;&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">ACE&#58; angiotensin-converting enzyme&#59; ARBs&#58; angiotensin receptor blockers&#59; CA&#58; cardiac arrest&#59; HF&#58; heart failure&#59; IHM&#58; in-hospital mortality&#59; LM&#58; left main&#59; LV&#58; left ventricular&#59; MB&#58; major bleeding&#59; MV&#58; mechanical ventilation&#59; PCI&#58; percutaneous coronary intervention&#59; SBP&#58; systolic blood pressure&#59; VT&#58; ventricular tachycardia&#46;</p>"
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&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" style="border-bottom: 2px solid black">No IHM&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" style="border-bottom: 2px solid black">IHM&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">p&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">81&#177;21&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">89&#177;24&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;021&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SBP on admission&#44; mmHg&nbsp;\t\t\t\t\t\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">144&#177;30&nbsp;\t\t\t\t\t\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">121&#177;30&nbsp;\t\t\t\t\t\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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Killip class &#62;I on admission&#44; &#37; &#40;n&#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">24&#46;6&#37; &#40;125&#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">69&#46;4&#37; &#40;25&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>ST-segment depression on admission&#44; &#37; &#40;n&#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">39&#46;5&#37; &#40;215&#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">63&#46;9&#37; &#40;23&#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;014&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Isolated troponin elevation&#44; &#37; &#40;n&#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">18&#46;7&#37; &#40;95&#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">5&#46;6&#37; &#40;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;037&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Creatinine on admission&#44; mg&#47;dl&nbsp;\t\t\t\t\t\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;41&#177;1&#46;34&nbsp;\t\t\t\t\t\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;46&#177;0&#46;57&nbsp;\t\t\t\t\t\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" 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"><span class="elsevierStyleHsp" style=""></span>Peak creatinine&#44; mg&#47;dl&nbsp;\t\t\t\t\t\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;6&#177;1&#46;08&nbsp;\t\t\t\t\t\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;28&#177;1&#46;02&nbsp;\t\t\t\t\t\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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Blood glucose on admission&#44; mg&#47;dl&nbsp;\t\t\t\t\t\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">148&#177;70&nbsp;\t\t\t\t\t\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">178&#177;132&nbsp;\t\t\t\t\t\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" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" 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="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Treatment during hospitalization</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Beta-blockers&#44; &#37; &#40;n&#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">73&#46;8&#37; &#40;375&#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">44&#46;4&#37; &#40;16&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>ACE inhibitors&#47;ARBs&#44; &#37; &#40;n&#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">84&#46;2&#37; &#40;428&#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">58&#46;3&#37; &#40;21&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Calcium channel blockers&#44; &#37; &#40;n&#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">15&#46;7&#37; &#40;80&#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;8&#37; &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;033&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Inotropic agents&#44; &#37; &#40;n&#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;6&#37; &#40;13&#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">22&#46;2&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>Levosimendan&#44; &#37; &#40;n&#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;4&#37; &#40;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">8&#46;3&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>Coronary angiography&#44; &#37; &#40;n&#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">62&#46;2&#37; &#40;316&#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">19&#46;4&#37; &#40;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><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>LM without significant stenosis&#44; &#37; &#40;n&#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">45&#46;7&#37; &#40;232&#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">8&#46;3&#37; &#40;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">0&#46;002&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>PCI&#44; &#37; &#40;n&#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">36&#46;8&#37; &#40;187&#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">5&#46;6&#37; &#40;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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Invasive MV&#44; &#37; &#40;n&#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;2&#37; &#40;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">11&#46;1&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>Non-invasive MV&#44; &#37; &#40;n&#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;4&#37; &#40;12&#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">27&#46;7&#37; &#40;10&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Temporary pacemaker&#44; &#37; &#40;n&#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;8&#37; &#40;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">7&#46;7&#37; &#40;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" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" 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="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Complications during hospitalization</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>LV ejection fraction &#60;30&#37;&#44; &#37; &#40;n&#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">3&#46;1&#37; &#40;16&#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">30&#46;6&#37; &#40;11&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HF&#44; &#37; &#40;n&#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">26&#46;6&#37; &#40;135&#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">75&#37; &#40;27&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Mechanical complications&#44; &#37; &#40;n&#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&#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">11&#46;1&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>Reinfarction&#44; &#37; &#40;n&#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;4&#37; &#40;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">7&#46;7&#37; &#40;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">0&#46;003&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Sustained VT&#44; &#37; &#40;n&#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;6&#37; &#40;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">13&#46;9&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>Resuscitated CA&#44; &#37; &#40;n&#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;2&#37; &#40;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">11&#46;1&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>MB&#44; &#37; &#40;n&#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;6&#37; &#40;13&#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">8&#46;3&#37; &#40;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></tbody></table>
                  """
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          "leyenda" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">CI&#58; confidence interval&#59; LV&#58; left ventricular&#59; MB&#58; major bleeding&#59; OR&#58; odds ratio&#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"><td 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" style="border-bottom: 2px solid black">&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" style="border-bottom: 2px solid black">OR&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" 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
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">p&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">Killip class &#62;I on admission&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">3&#46;5&nbsp;\t\t\t\t\t\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;41&#8211;8&#46;87&nbsp;\t\t\t\t\t\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" 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">LV ejection fraction &#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">16&#46;9&nbsp;\t\t\t\t\t\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">6&#46;17&#8211;50&#46;74&nbsp;\t\t\t\t\t\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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">MB&nbsp;\t\t\t\t\t\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;9&nbsp;\t\t\t\t\t\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;36&#8211;50&#46;74&nbsp;\t\t\t\t\t\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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Coronary angiography&nbsp;\t\t\t\t\t\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;2&nbsp;\t\t\t\t\t\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&#8211;0&#46;49&nbsp;\t\t\t\t\t\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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          "leyenda" => "<p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">COPD&#58; chronic obstructive pulmonary disease&#59; MB&#58; major bleeding&#59; Other antiplatelets&#58; antiplatelets other than aspirin and clopidogrel&#46;</p>"
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                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&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" style="border-bottom: 2px solid black">No MB&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" style="border-bottom: 2px solid black">MB&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" style="border-bottom: 2px solid black">p&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></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="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">History</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>COPD&#44; &#37; &#40;n&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7&#46;4&#37; &#40;39&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#37; &#40;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">0&#46;011&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"><span class="elsevierStyleHsp" style=""></span>Bleeding&#44; &#37; &#40;n&#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">3&#46;2&#37; &#40;17&#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">12&#46;5&#37; &#40;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;039&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
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                  \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="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Clinical and laboratory parameters during hospitalization</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Killip class &#62;I on admission&#44; &#37; &#40;n&#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">10&#37; &#40;53&#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">31&#46;2&#37; &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;022&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Peak creatinine&#44; mg&#47;dl&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#46;63&#177;1&#46;08&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;18&#177;1&#46;20&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;037&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"><span class="elsevierStyleHsp" style=""></span>Minimum hemoglobin&#44; g&#47;dl&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">11&#46;2&#177;1&#46;9&nbsp;\t\t\t\t\t\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;1&#177;2&#46;4&nbsp;\t\t\t\t\t\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" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" 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="4" align="left" valign="\n
                  \t\t\t\t\ttop\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"><span class="elsevierStyleHsp" style=""></span>Unfractionated heparin&#44; &#37; &#40;n&#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">13&#46;1&#37; &#40;69&#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">31&#46;2&#37; &#40;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">0&#46;038&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Other antiplatelets&#44; &#37; &#40;n&#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">2&#46;1&#37; &#40;11&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">12&#46;5&#37; &#40;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
                  \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" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Aldosterone antagonists&#44; &#37; &#40;n&#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">12&#46;1&#37; &#40;64&#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">37&#46;5&#37; &#40;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;003&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
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Length of hospital stay&#44; days</span>&nbsp;\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">6&#177;5&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">10&#177;3&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" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" 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="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>IHM&#44; &#37; &#40;n&#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">6&#46;25&#37; &#40;33&#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">18&#46;8&#37; &#40;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">0&#46;048&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">Predictors of MB on multivariate analysis&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">OR&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" 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
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">p&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Unfractionated heparin during hospitalization&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">3&#46;2&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">1&#46;02&#8211;10&#46;1&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;046&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Other antiplatelets during hospitalization&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">6&#46;6&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#46;19&#8211;36&#46;7&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;031&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Aldosterone antagonists during hospitalization&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">4&#46;1&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;34&#8211;12&#46;6&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;014&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"><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"><span class="elsevierStyleItalic">Predictors on multivariate analysis&#43;parameters of the CRUSADE score</span></td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Triple antiplatelet therapy during hospitalization&nbsp;\t\t\t\t\t\t\n
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                      "titulo" => "ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation&#46; The Task Force for the management of acute coronary syndromes &#40;ACS&#41; in patients presenting without persistent ST-segment elevation of the European Society of Cardiology &#40;ESC&#41;"
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                      "doi" => "10.1093/eurheartj/ehr236"
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                        "tituloSerie" => "Eur Heart J"
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                      "titulo" => "Guidelines on myocardial revascularization&#46; The Task Force on Myocardial Revascularization of the European Society of Cardiology &#40;ESC&#41; and the European Association for Cardio-Thoracic Surgery &#40;EACTS&#41;"
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                      "doi" => "10.1093/eurheartj/ehq277"
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Original Article
Non-ST-elevation acute coronary syndromes in octogenarians: Applicability of the GRACE and CRUSADE scores
Síndromes coronárias agudas sem supradesnivelamento-ST nos octogenários: aplicabilidade dos scores GRACE e CRUSADE
Ana Faustino
Corresponding author
anacatarina.faustino@gmail.com

Corresponding author.
, Paula Mota, Joana Silva, Em nome dos Investigadores do Registo Nacional de Síndromes Coronárias Agudas da Sociedade Portuguesa de Cardiologia 1
Serviço de Cardiologia, Centro Hospitalar e Universitário de Coimbra – Hospital Geral, Coimbra, Portugal
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          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">ROC curve analysis of the CRUSADE score and MB-PM for assessment of major bleeding&#46; AUC&#58; area under the curve&#59; CI&#58; confidence interval&#59; MB-PM&#58; major bleeding prediction model&#46;</p>"
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Introduction</span><p id="par0065" class="elsevierStylePara elsevierViewall">Invasive treatment strategies&#44; together with aggressive antithrombotic medication&#44; have been shown to reduce ischemic complications in patients with non-ST-elevation acute coronary syndromes &#40;NSTE-ACS&#41;&#44; although at the cost of an increase in bleeding complications&#46;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#8211;4</span></a> Weighing the risks and benefits of these therapies is crucial for reducing mortality in these patients&#44; and the European Society of Cardiology &#40;ESC&#41; currently recommends the use of scores to stratify ischemic risk&#44; such as the GRACE score&#44;<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a> and bleeding risk&#44; such as the CRUSADE score&#46;<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a></p><p id="par0070" class="elsevierStylePara elsevierViewall">Advanced age is associated with greater prevalence and extent of coronary artery disease &#40;CAD&#41; and higher risk of ischemic complications and mortality&#59; 30&#37; of deaths related to myocardial infarction &#40;MI&#41; occur in patients aged over 85&#44;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> and most deaths in patients aged &#8805;75 years are of ischemic origin&#46;<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> Given their increased risk&#44; elderly patients would in theory benefit more from therapies that improve outcomes&#46;<a class="elsevierStyleCrossRefs" href="#bib0045"><span class="elsevierStyleSup">9&#8211;11</span></a> However&#44; the particular characteristics of this age-group &#8211; presence of multiple comorbidities&#44; reduced ability to perform activities of daily living&#44; and physical&#44; psychological and cognitive frailty &#8211; affect prognosis after NSTE-ACS and limit the benefit of aggressive therapies&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> Furthermore&#44; drug metabolism is altered in the elderly&#44; due to deterioration of renal and liver function&#44; interactions caused by multiple medications&#44; changes in body composition and comorbidities&#46; These factors make older patients more likely to suffer adverse effects of therapy and are responsible for the significantly higher incidence of bleeding complications in this age-group&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> As a result&#44; physicians are wary of using invasive treatments and aggressive antithrombotic medication in the elderly&#44; despite their potential benefit&#46; This is reflected in the results of various series that show a low rate of use of such therapies in older age-groups&#44; even in the absence of contraindications&#46;<a class="elsevierStyleCrossRefs" href="#bib0050"><span class="elsevierStyleSup">10&#44;11</span></a></p><p id="par0075" class="elsevierStylePara elsevierViewall">Notwithstanding the increased complexity of management in elderly patients with NSTE-ACS&#44; data on those aged &#8805;80 years are limited&#44; since such patients are frequently excluded from clinical trials&#46;<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7&#44;11</span></a> Current guidelines for this population are thus based on extrapolation of data for younger patients&#44; which may not be applicable to such advanced ages&#46; Specifically&#44; it is not known whether the scores recommended for assessing ischemic and bleeding risk are appropriate for this age-group&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">It is thus important to obtain information from other sources&#44; such as registries&#46; The Portuguese Registry on Acute Coronary Syndromes &#40;ProACS&#41;<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> is sufficiently robust to assess this population&#44; as shown by other studies based on its results&#46;<a class="elsevierStyleCrossRefs" href="#bib0065"><span class="elsevierStyleSup">13&#44;14</span></a></p><p id="par0085" class="elsevierStylePara elsevierViewall">The main aims of this study are to assess the applicability of the GRACE and CRUSADE scores to patients aged &#8805;80 years with NSTE-ACS&#44; and to identify the main predictors of in-hospital mortality &#40;IHM&#41; and major bleeding &#40;MB&#41; in this population&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Methods</span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Study design</span><p id="par0090" class="elsevierStylePara elsevierViewall">In this multicenter observational study of patients prospectively enrolled in the second phase of the ProACS<a class="elsevierStyleCrossRef" href="#bib0065"><span class="elsevierStyleSup">13</span></a> with a diagnosis of NSTE-ACS and aged &#8805;80 years&#44; predictors of IHM and in-hospital MB were analyzed and prediction models &#40;PM&#41; were created for these endpoints&#46; The accuracy of the GRACE and CRUSADE scores and the prediction models for IHM &#40;IHM-PM&#41; and MB &#40;MB-PM&#41; were then compared&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Patient selection</span><p id="par0095" class="elsevierStylePara elsevierViewall">We analyzed 544 consecutive patients aged &#8805;80 years diagnosed with NSTE-ACS in 14 Portuguese hospitals and included in the ProACS between October 1&#44; 2010 and October 25&#44; 2012&#46;</p><p id="par0100" class="elsevierStylePara elsevierViewall">NSTE-ACS was defined on the basis of an admission diagnosis of non-ST-elevation myocardial infarction &#40;NSTEMI&#41;&#44; defined as lack of persistent ST elevation &#40;&#60;30 min&#41; associated with elevated cardiac biomarkers &#40;troponin or CK-MB&#41; in a clinical context suggestive of myocardial ischemia&#44; or unstable angina &#40;UA&#41;&#44; defined as angina or anginal equivalent&#44; with or without ECG changes and without elevated cardiac biomarkers&#46;</p><p id="par0105" class="elsevierStylePara elsevierViewall">The ProACS<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> is an observational study with continuous and prospective inclusion of all adult patients &#40;&#8805;18 years&#41; diagnosed with acute coronary syndrome &#40;ACS&#41; within 48 hours of symptom onset&#46; MI types 2&#44; 4 and 5 according to the Joint ESC&#47;ACCF&#47;AHA&#47;WHF Task Force for the Redefinition of Myocardial Infarction &#40;2007&#41;<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a> were excluded&#46; Further information on the registry protocol is available on the website of the Portuguese Society of Cardiology&#46;<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a></p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Data collection</span><p id="par0110" class="elsevierStylePara elsevierViewall">The following variables from the ProACS were included in the univariate analysis&#58; demographic data &#40;age&#44; gender&#44; body mass index &#91;BMI&#93;&#41;&#59; cardiovascular risk factors &#40;documented history of hypertension&#44; diabetes&#44; dyslipidemia&#44; current smoking in the 30 days before admission&#44; family history of CAD&#41;&#59; personal cardiovascular &#40;MI&#44; heart failure &#91;HF&#93;&#44; stroke&#47;transient ischemic attack&#41; and non-cardiovascular history &#40;cancer&#44; clinically significant or life-threatening bleeding&#44; dementia&#44; chronic obstructive pulmonary disease &#91;COPD&#93;&#44; chronic renal disease &#91;defined as previous history or presence of at least one of the following criteria&#58; creatinine prior to admission &#62;2 mg&#47;dl&#44; dialysis or kidney transplantation&#93;&#41;&#59; medication prior to admission &#40;antiplatelets&#58; aspirin&#44; clopidogrel&#44; both&#44; or others&#59; anticoagulants&#58; vitamin K antagonists&#44; others&#41;&#59; data on hospital admission &#40;location&#44; mode of transport to the hospital&#44; symptoms&#44; blood pressure&#44; heart rate&#44; Killip class&#44;<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a> ST-segment depression on ECG&#41;&#59; and laboratory test results &#40;isolated troponin elevation&#44; hemoglobin&#44; HbA1c&#44; hematocrit&#44; platelets&#44; blood glucose&#44; and creatinine&#41;&#46; Hematocrit was calculated on the basis of hemoglobin level in accordance with the formula of Bain and Bates<a class="elsevierStyleCrossRef" href="#bib0090"><span class="elsevierStyleSup">18</span></a> &#40;hematocrit&#61;hemoglobin &#91;g&#47;dl&#93;&#215;3&#41;&#46; Creatinine clearance was estimated using the Cockcroft-Gault formula&#46;<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">19</span></a> Data on hospital stay were also recorded&#44; including duration&#44; laboratory values &#40;minimum hemoglobin&#44; peak creatinine&#41;&#44; medication &#40;antiplatelets&#58; aspirin&#44; clopidogrel&#44; others&#59; anticoagulants&#58; unfractionated heparin&#44; enoxaparin&#44; fondaparinux&#44; vitamin K antagonists&#44; others&#59; glycoprotein IIb&#47;IIIa inhibitors&#44; beta-blockers&#44; angiotensin-converting enzyme &#91;ACE&#93; inhibitors or angiotensin receptor blockers &#91;ARBs&#93;&#44; statins&#44; nitrates&#44; calcium channel blockers&#44; ivabradine&#44; aldosterone antagonists&#44; diuretics&#44; antiarrhythmics&#44; insulin&#44; oral antidiabetic agents&#44; inotropic agents&#44; levosimendan&#41;&#44; whether coronary angiography was performed&#44; vascular access&#44; use of vascular closure devices&#44; culprit vessel&#44; number of vessels with &#8805;50&#37; stenosis&#44; percutaneous coronary intervention &#40;PCI&#41;&#44; type of stent used&#44; coronary artery bypass grafting &#40;CABG&#41;&#44; left ventricular &#40;LV&#41; function&#44; temporary pacing&#44; intra-aortic balloon pump&#44; and invasive and non-invasive mechanical ventilation&#44; as well as in-hospital complications &#40;reinfarction&#44; mechanical complications&#44; arrhythmias&#44; resuscitation following cardiac arrest&#44; stroke&#44; HF&#44; major bleeding and death&#41;&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">The GRACE<a class="elsevierStyleCrossRef" href="#bib0025"><span class="elsevierStyleSup">5</span></a> and CRUSADE<a class="elsevierStyleCrossRef" href="#bib0030"><span class="elsevierStyleSup">6</span></a> scores were calculated for all patients&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">Further information on the definition of these variables is available on the website of the Portuguese Society of Cardiology&#46;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">20</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Study endpoints</span><p id="par0125" class="elsevierStylePara elsevierViewall">The study endpoints were IHM and MB&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">IHM was defined as death from any cause during hospitalization for NSTE-ACS&#46; MB was defined as intracranial bleeding or bleeding resulting in hemodynamic compromise requiring treatment&#44; the criteria in the Global Use of Strategies to Open Occluded Arteries &#40;GUSTO&#41; trial&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">21</span></a> The GUSTO criteria were chosen because this classification is used in the ProACS&#59; the authors also considered it the most appropriate for the population and the study objectives&#44; since it was important to identify bleeding that was sufficiently severe to justify not using therapies which reduce ischemic complications but increase bleeding risk in ACS&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Statistical analysis</span><p id="par0135" class="elsevierStylePara elsevierViewall">An overall descriptive analysis of the study population was performed based on all the parameters assessed&#46; Categorical variables were expressed as absolute and relative frequencies&#44; and continuous variables as means and standard deviation&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">Independent predictors of each of the study endpoints&#44; IHM and MB&#44; were identified&#44; using univariate analysis to test the association between the endpoint and each potential predictor&#46; The chi-square test was used for categorical variables and the t test for continuous variables&#46; The Mann-Whitney test was used when the assumptions for the t test were not met&#46; The normality of the distribution of continuous variables and their equality of variances were determined by the Kolmogorov-Smirnov test and the Levene test&#44; respectively&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">Logistic regression techniques were applied to identify independent predictors of IHM and MB considering all variables with statistical significance&#44; using the forward stepwise method with likelihood ratios&#46; The model included variables used in the CRUSADE score and&#44; separately&#44; variables related to medication during hospitalization&#58; dual antiplatelet therapy&#44; dual antiplatelet therapy plus anticoagulants &#40;triple therapy&#41;&#44; or dual antiplatelet therapy plus glycoprotein IIb&#47;IIIa inhibitors &#40;triple antiplatelet therapy&#41;&#46; The entry and exit values were set at 0&#46;10 and 0&#46;15&#44; respectively&#46; The risk for each endpoint associated with each predictor was estimated using odds ratios and 95&#37; confidence intervals &#40;CI&#41;&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">On the basis of the logistic regression analysis &#40;&#8220;Enter&#8221; method&#41;&#44; prediction models for IHM and MB were created on the basis of variables at admission with statistical significance for each endpoint or clinical significance&#58; IHM-PM &#40;LV ejection fraction &#60;30&#37;&#44; Killip class &#62;I&#44; ST-segment depression on ECG&#44; systolic blood pressure&#44; heart rate&#44; blood glucose&#44; creatinine&#44; and isolated troponin elevation&#41; and MB-PM &#40;history of bleeding&#44; history of COPD&#44; Killip class at admission &#62;I&#44; and admission creatinine&#41;&#46; The fit of the models was assessed using the Hosmer-Lemeshow test&#46;</p><p id="par0155" class="elsevierStylePara elsevierViewall">On the basis of the regression coefficients&#44; the predictive value of each model was determined and its discriminatory capacity was estimated by calculating the area under the receiver operating characteristic &#40;ROC&#41; curve&#44; together with its sensitivity and specificity&#46; ROC curves evaluate the ability of a model to attribute a higher probability of events to patients who suffered the study endpoints&#46; In this way the diagnostic accuracy of the GRACE score and the IHM-PM for IHM&#44; and the CRUSADE score and the MB-PM for MB&#44; were assessed&#44; using MedCalc for Windows version 9&#46;2&#46;0&#46;1&#46; The rest of the statistical analysis was performed with SPSS version 19&#44; using the Hanley-McNeil test&#46; The level of significance was taken to be 5&#37;&#46;</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Results</span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Characteristics of the study population</span><p id="par0160" class="elsevierStylePara elsevierViewall">The characteristics of the 544 patients studied are presented in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46; Ages ranged from 80 to 92 years &#40;mean 84&#41;&#46; Diagnosis at admission was NSTEMI in 91&#37; &#40;n&#61;495&#41; and UA in 9&#37; &#40;n&#61;49&#41;&#46; <a class="elsevierStyleCrossRef" href="#fig0005">Figure 1</a> shows the distribution of the total population and of patients with IHM and MB according to the GRACE and CRUSADE scores&#44; respectively&#46; In the study population&#44; 93&#46;6&#37; of patients who suffered IHM were classified as high risk by the GRACE score&#44; while the CRUSADE score classified only 53&#46;9&#37; of those with MB as high or very high risk&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0165" class="elsevierStylePara elsevierViewall">Around 98&#37; of patients were medicated with aspirin&#44; 86&#46;9&#37; with clopidogrel and 5&#46;9&#37; with glycoprotein IIb&#47;IIIa inhibitors&#46; Enoxaparin was the most commonly prescribed anticoagulant&#46; Coronary angiography was performed in 59&#46;4&#37; of patients&#44; PCI in 34&#46;7&#37; and CABG in 14&#46;7&#37;&#46; The mean GRACE score in this population was 161&#177;27 and the mean CRUSADE score was 44&#177;14&#46; Median hospital stay was five days &#40;25th percentile&#58; 3&#59; 75th percentile&#58; 8&#41;&#59; the IHM endpoint was observed in 6&#46;6&#37; and the MB endpoint in 2&#46;9&#37; &#40;<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#41;&#46;</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Predictors of in-hospital mortality</span><p id="par0170" class="elsevierStylePara elsevierViewall">In univariate analysis&#44; IHM was associated with higher heart rate and creatinine on admission&#44; peak creatinine&#44; and Killip class &#62;I&#44; ST-segment depression&#44; isolated troponin elevation&#44; and lower systolic blood pressure on admission&#46; In-hospital survival was associated with medication with beta-blockers&#44; calcium channel blockers and ACE inhibitors&#47;ARBs&#44; coronary angiography and PCI&#44; and absence of left main disease&#46; Patients who died during hospitalization more frequently received levosimendan&#44; inotropic agents&#44; mechanical ventilation and temporary pacing&#44; and had a higher prevalence of ischemic and bleeding complications &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#46; No association was seen between IHM and age&#44; cardiovascular risk factors&#44; previous medication&#44; vascular access or closure devices used in coronary angiography&#44; type of stent used for PCI&#44; or CABG&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0175" class="elsevierStylePara elsevierViewall">In multivariate analysis&#44; independent predictors of IHM were Killip class &#62;1 on admission&#44; LV ejection fraction &#60;30&#37;&#44; and MB &#40;which increased the risk of IHM almost 11-fold&#41;&#46; Use of coronary angiography had a protective effect &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0085" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">GRACE score and in-hospital mortality prediction model</span><p id="par0185" class="elsevierStylePara elsevierViewall">The GRACE score showed good diagnostic accuracy in identifying patients who died during hospitalization&#44; with an area under the curve &#40;AUC&#41; of 0&#46;75 &#40;95&#37; CI 0&#46;63&#8211;0&#46;87&#44; p&#60;0&#46;001&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Figure 1</a>&#41;&#46; The Youden index for the GRACE score was 170 &#40;sensitivity 77&#37;&#44; specificity 67&#37;&#41;&#46;</p><p id="par0190" class="elsevierStylePara elsevierViewall">The IHM-PM presented a good fit for IHM according to the Hosmer-Lemeshow test &#40;p&#61;0&#46;533&#41;&#46; ROC curve analysis showed excellent discriminatory capacity for IHM&#44; with an AUC of 0&#46;81 &#40;95&#37; CI 0&#46;72&#8211;0&#46;90&#44; p&#60;0&#46;001&#41;&#44; although no significant difference was seen between the AUCs of the two models &#40;0&#46;06&#44; p&#61;0&#46;239&#41; &#40;<a class="elsevierStyleCrossRef" href="#fig0010">Figure 2</a>&#41;&#46;</p><elsevierMultimedia ident="fig0010"></elsevierMultimedia></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0135">Predictors of in-hospital major bleeding</span><p id="par0195" class="elsevierStylePara elsevierViewall">MB was associated with a history of bleeding or COPD&#44; Killip class &#62;I on admission&#44; higher peak creatinine and lower minimum hemoglobin&#44; treatment with unfractionated heparin&#44; antiplatelets other than aspirin or clopidogrel&#44; and aldosterone antagonists&#44; longer hospital stay and higher IHM &#40;<a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a>&#41;&#46; On univariate analysis no association was seen between MB and age&#44; gender&#44; other cardiovascular risk factors&#44; previous medication&#44; BMI&#44; admission hemoglobin&#44; creatinine or platelets&#44; medication with glycoprotein IIb&#47;IIIa inhibitors&#44; or coronary angiography&#44; PCI&#44; CABG&#44; type of stent&#44; or vascular access or closure devices&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0200" class="elsevierStylePara elsevierViewall">On multivariate analysis&#44; of all the associations with statistical significance on univariate analysis&#44; only medical therapy during hospitalization &#40;unfractionated heparin&#44; antiplatelets other than aspirin or clopidogrel&#44; and aldosterone antagonists&#41; were independent predictors of MB&#46; The same analysis including these predictors and the parameters of the CRUSADE score identified history of COPD and medication with unfractionated heparin and aldosterone antagonists as predictors of MB&#46; In multivariate analysis including the same predictors and dual antiplatelet or triple therapy separately&#44; marginally significant p values were obtained for COPD and unfractionated heparin&#44; while antiplatelets other than aspirin or clopidogrel and aldosterone antagonists were predictors of MB&#46; In a similar analysis including triple antiplatelet therapy&#44; this was shown to be an independent predictor of MB&#44; as were COPD and medication with aldosterone antagonists &#40;<a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0140">CRUSADE score and major bleeding prediction model</span><p id="par0205" class="elsevierStylePara elsevierViewall">ROC curve analysis showed that the CRUSADE score had poor diagnostic accuracy in predicting MB in this population&#44; with an AUC of 0&#46;51 &#40;95&#37; CI 0&#46;30&#8211;0&#46;63&#44; p&#61;0&#46;942&#59; <a class="elsevierStyleCrossRef" href="#fig0015">Figure 3</a>&#41;&#46;</p><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0210" class="elsevierStylePara elsevierViewall">The MB-PM presented a good fit on the Hosmer-Lemeshow test &#40;p&#61;0&#46;111&#41; and on ROC curve analysis showed good discriminatory capacity for MB in the study population &#40;AUC 0&#46;68&#44; 95&#37; CI 0&#46;52&#8211;0&#46;84&#44; p&#61;0&#46;032&#59; <a class="elsevierStyleCrossRef" href="#fig0015">Figure 3</a>&#41;&#46;</p></span></span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0145">Discussion</span><p id="par0215" class="elsevierStylePara elsevierViewall">The findings of this study suggest that the GRACE score is suitable for IHM risk assessment in octogenarians with NSTE-ACS&#44; but the CRUSADE score appears to be inadequate for assessment of bleeding risk in this age-group&#46; To our knowledge&#44; this is the first study to assess the applicability of the GRACE and CRUSADE scores in this population&#46;</p><p id="par0220" class="elsevierStylePara elsevierViewall">The comorbidities and cardiovascular risk factors identified in our study were similar to those found in other series on NSTE-ACS in elderly patients&#46;<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7&#44;9</span></a></p><p id="par0225" class="elsevierStylePara elsevierViewall">The frequency of antithrombotic therapy in our sample was similar to that in a substudy of the CRUSADE initiative in NSTE-ACS patients aged 75&#8211;89 years&#44; except that in the CRUSADE cohort medication with glycoprotein IIb&#47;IIIa inhibitors was more frequent &#40;29&#46;2&#37; vs&#46; 5&#46;9&#37;&#41;&#46; Coronary angiography and PCI were less frequent in the CRUSADE subgroup&#44; although results were only presented for procedures performed within 48 hours of admission&#44; and for a different age-group&#46;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> In the Acute Coronary Syndromes Israeli Survey<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> of NSTEMI patients aged &#62;80 years&#44; coronary angiography was slightly less frequent than in our population &#40;55 vs&#46; 59&#46;4&#37;&#41;&#44; in which 91&#37; of patients were admitted for NSTEMI&#46; Even so&#44; 40&#37; of these patients did not undergo angiography and 50&#37; were not revascularized&#46;</p><p id="par0230" class="elsevierStylePara elsevierViewall">Coronary angiography was associated in our study with lower IHM but not with MB&#46; PCI was also associated with lower IHM&#44; although not independently&#46; These findings are in agreement with those of the substudy of the Acute Coronary Syndromes Israeli Survey&#44; in which a reduction in one-year mortality was seen following revascularization &#40;hazard ratio &#91;HR&#93; 0&#46;5&#44; p&#61;0&#46;004&#41;&#44; and a reduction in one-year &#40;HR 0&#46;4&#44; p&#61;0&#46;04&#41; and 30-day mortality &#40;HR 0&#46;38&#44; p&#61;0&#46;02&#41; with coronary angiography within 24 hours of NSTEMI in octogenarian patients&#46; The substudy of the CRUSADE registry<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> also concluded that adherence to treatment guidelines&#44; including catheterization within 48 hours of symptom onset&#44; was associated with lower IHM in patients aged over 75 with NSTE-ACS&#46;</p><p id="par0235" class="elsevierStylePara elsevierViewall">The better predictive capacity of coronary angiography compared to PCI in this population may reflect the different revascularization strategies adopted&#46; Furthermore&#44; PCI was not associated with MB&#46;</p><p id="par0240" class="elsevierStylePara elsevierViewall">It should&#44; however&#44; be borne in mind that there may have been a selection bias due to the physical&#44; cognitive and social situation of the elderly&#59; this may have led to the selection of fitter patients for invasive treatment&#44; which is known to have prognostic benefit&#46;<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> These findings highlight the need to adjust risk stratification scores to the specific characteristics of this age-group&#46;</p><p id="par0245" class="elsevierStylePara elsevierViewall">The incidence of IHM and MB in the ProACS was lower than reported in other studies on similar populations&#44; including the substudy of the CRUSADE registry<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a> &#40;the largest on NSTE-ACS in the elderly&#44; with 5557 patients&#41;&#44; in which IHM was 7&#46;8&#37; &#40;vs&#46; 6&#46;6&#37;&#41; and MB was observed in 13&#46;1&#37; &#40;vs&#46; 2&#46;9&#37;&#41;&#46; The difference in MB may be due to the wider definition of bleeding used&#44; as well as the inclusion of other criteria in the CRUSADE study&#44; such as an absolute hematocrit drop of 12&#37;&#44; intracranial hemorrhage&#44; retroperitoneal bleed&#44; red blood cell transfusion in conjunction with a documented bleeding event if baseline hematocrit was &#60;28&#37;&#44; or any red blood cell transfusion if baseline hematocrit was &#8805;28&#37;&#46;<a class="elsevierStyleCrossRef" href="#bib0035"><span class="elsevierStyleSup">7</span></a></p><p id="par0250" class="elsevierStylePara elsevierViewall">The results of our study clearly show the importance of comorbidities for short-term prognosis in patients aged &#8805;80 years&#44; particularly HF as a predisposing factor for IHM and MB&#44; and COPD for MB&#46; Both are associated with chronic inflammatory states&#44; leading to physical frailty and anemia&#46; In the case of COPD&#44; common therapies such as steroids may also contribute to MB&#46;</p><p id="par0255" class="elsevierStylePara elsevierViewall">Our results also confirm the close and independent relationship between MB and IHM&#46; The increased risk of MB seen with therapies such as unfractionated heparin&#44; antiplatelets other than aspirin or clopidogrel&#44; triple antiplatelet therapy &#40;glycoprotein IIb&#47;IIIa inhibitors associated with dual antiplatelet therapy&#41; and aldosterone antagonists may be due to overdosing&#44; which is a common problem in the elderly&#44; related to deteriorating renal function&#46; Overdosing has also been reported with drugs that require the dose to be adjusted for body weight&#44; such as unfractionated heparin&#44; due to changes in body composition and protein levels in the elderly&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> In the case of antithrombotics&#44; overdosing can increase the risk of bleeding&#46; The association of MB with aldosterone antagonists may be due to various factors&#44; including worsening of renal function by the drug&#39;s action and its wider use in patients with HF&#46;</p><p id="par0260" class="elsevierStylePara elsevierViewall">The variables in each of the models created were selected with the aim of the models being applied at hospital admission&#46; For this reason&#44; creatinine on admission was included in the MB-PM even though peak creatinine was of statistical significance&#44; given the low number of variables that would have been included following the initial criteria&#46; Hemoglobin on admission was not included since the demonstrated association of its minimum value with MB is merely a consequence of the latter&#46;</p><p id="par0265" class="elsevierStylePara elsevierViewall">According to our analysis&#44; the GRACE score appropriately identified IHM in this population&#44; without significant differences from the adjusted IHM-PM&#59; its Youden index was higher than that of the high-risk cutoff for IHM recommended in the ESC guidelines for NSTE-ACS&#44;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#44;2</span></a> which would correspond to an adjustment for this age-group&#46; However&#44; the CRUSADE score&#44; which is also recommended in the guidelines&#44; was inadequate for predicting MB in this population&#46; This may be partly explained by the use of a different definition of MB from that in the CRUSADE study&#44; but even so&#44; the CRUSADE score would be expected to show some discriminatory capacity for MB&#44; like the GUSTO criteria&#44; but this was not the case&#46; In an analysis of the ProACS presented at the 2012 ESC Congress&#44;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">22</span></a> the CRUSADE score showed considerably better discriminatory capacity than seen in our study &#40;AUC 0&#46;755&#44; 95&#37; CI 0&#46;69&#8211;0&#46;82&#44; p&#60;0&#46;001&#41;&#59; however&#44; the mean age of the population analyzed was 66&#177;13 years&#46;</p><p id="par0270" class="elsevierStylePara elsevierViewall">These results demonstrate the need for new scores to predict bleeding risk in octogenarians&#46; The MB-PM created for this study could be an alternative&#44; since it demonstrated good diagnostic accuracy for MB&#46; However&#44; since the model was adjusted for this population&#44; it would have to be validated in other samples to ensure that these results can be extended to the general population of octogenarians with NSTE-ACS&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0150">Study limitations</span><p id="par0275" class="elsevierStylePara elsevierViewall">Our study presents real-world data on a significant number of patients for the age-group and disease over a large geographical area&#46; Nevertheless&#44; certain limitations should be borne in mind when interpreting the results&#46;</p><p id="par0280" class="elsevierStylePara elsevierViewall">Since this was an observational study&#44; there may have been selection bias affecting the therapies used&#44; due to the patients&#8217; physical&#44; psychological&#44; cognitive and social situation&#44; which also affects prognosis&#46; Another limitation is the lack of information on patients&#8217; frailty&#46; The ProACS contains information on comorbidities potentially associated with greater frailty&#44; such as dementia&#44; history of stroke&#44; cancer&#44; renal failure and COPD&#44; but this association varies according to the severity of the disease&#46; Thus&#44; as in other studies on this subject&#44; the different aspects of frailty are not clearly defined or distinguished &#40;physical&#44; cognitive&#44; psychological or social&#41;&#44; together with functional limitations and quality of life&#44; even though these have been described as having a greater impact on prognosis in the elderly than the classic cardiovascular risk factors or comorbidities&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> This information would be relevant to the analysis of therapies used&#44; MB&#44; and IHM&#46;</p><p id="par0285" class="elsevierStylePara elsevierViewall">Although this was a multicenter study&#44; the sample was selected on the basis of the inclusion criteria of the ProACS &#40;a clinical picture suggestive of ACS within 48 hours of symptom onset&#41; and thus may have excluded elderly patients with atypical presentation&#44; which is common in this age-group and can delay diagnosis&#46; Similarly&#44; only octogenarians with NSTE-ACS who survived to hospital admission were included&#44; and so the most severe cases were not included in the analysis&#46; Furthermore&#44; the fact that only 14 Portuguese centers are participating in the ProACS means that its results are not necessarily representative of the general population of octogenarians with NSTE-ACS in Portugal&#46;</p><p id="par0290" class="elsevierStylePara elsevierViewall">Only IHM was analyzed in this study&#44; but long-term mortality and quality of life following discharge are also important when assessing the risks and benefits of different therapies&#46; IHM was used as an endpoint to assess ischemic risk&#44; but as this study shows&#44; it also reflects bleeding risk&#46; Ischemic risk might be more accurately assessed using an endpoint such as fatal or non-fatal MI&#44; but this would entail long-term follow-up&#44; which would further reduce the sample size&#46;</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0155">Conclusions</span><p id="par0295" class="elsevierStylePara elsevierViewall">In patients aged &#8805;80 years with NSTE-ACS&#44; the GRACE score was suitable for predicting IHM&#44; but the CRUSADE score was inadequate for assessment of bleeding risk in this age-group&#46; Signs of heart failure on admission&#44; LV ejection fraction &#60;30&#37; and MB were independent predictors of IHM&#46; The main predictors of MB were medication during hospitalization and history of COPD&#46; Use of coronary angiography was associated with better prognosis in terms of IHM and did not increase the risk of MB&#46; These findings suggest that an invasive strategy is beneficial in selected patients&#44; and that new scores are required to assess bleeding risk in this age-group&#46;</p></span><span id="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0160">Ethical disclosures</span><span id="sec0090" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0165">Protection of human and animal subjects</span><p id="par0300" class="elsevierStylePara elsevierViewall">The authors declare that no experiments were performed on humans or animals for this study&#46;</p></span><span id="sec0095" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0170">Confidentiality of data</span><p id="par0305" class="elsevierStylePara elsevierViewall">The authors declare that they have followed the protocols of their work center on the publication of patient data&#46;</p></span><span id="sec0100" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0175">Right to privacy and informed consent</span><p id="par0310" class="elsevierStylePara elsevierViewall">The authors have obtained the written informed consent of the patients or subjects mentioned in the article&#46; The corresponding author is in possession of this document&#46;</p></span></span><span id="sec0105" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0180">Conflicts of interest</span><p id="par0320" class="elsevierStylePara elsevierViewall">The authors have no conflicts of interest to declare&#46;</p></span></span>"
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              "titulo" => "Predictors of in-hospital mortality"
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              "titulo" => "GRACE score and in-hospital mortality prediction model"
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              "titulo" => "Predictors of in-hospital major bleeding"
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              "titulo" => "CRUSADE score and major bleeding prediction model"
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    "pdfFichero" => "main.pdf"
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    "fechaRecibido" => "2013-11-18"
    "fechaAceptado" => "2014-01-24"
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          "clase" => "keyword"
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          "palabras" => array:6 [
            0 => "Bleeding"
            1 => "Intervention"
            2 => "Mortality"
            3 => "Octogenarian patients"
            4 => "In-hospital prognosis"
            5 => "Acute coronary syndromes"
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          "palabras" => array:6 [
            0 => "Hemorragia"
            1 => "Interven&#231;&#227;o"
            2 => "Mortalidade"
            3 => "Octogen&#225;rios"
            4 => "Progn&#243;stico intra-hospitalar"
            5 => "S&#237;ndromes coron&#225;rias agudas"
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    "resumen" => array:2 [
      "en" => array:2 [
        "titulo" => "Abstract"
        "resumen" => "<span class="elsevierStyleSectionTitle" id="sect0010">Introduction</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Assessment of ischemic and bleeding risk is critical for the management of elderly patients with acute coronary syndromes&#44; but it has been little studied&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0015">Objective</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">This study aims to assess the applicability of the GRACE and CRUSADE scores in patients aged &#8805;80 years with non-ST-elevation acute coronary syndrome &#40;NSTE-ACS&#41;&#44; and to identify the main predictors of in-hospital mortality and major bleeding in this population&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0020">Methods</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">We analyzed 544 patients aged &#8805;80 years with NSTE-ACS included in the Portuguese Registry on Acute Coronary Syndromes and identified the predictors of in-hospital mortality and major bleeding during hospitalization&#46; Prediction models were created for these endpoints&#44; then compared with the GRACE and CRUSADE scores&#44; and their applicability to the study population was assessed&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Use of coronary angiography was associated with reduced risk of in-hospital mortality&#44; without increasing risk of major bleeding &#40;OR 0&#46;2&#44; 95&#37; CI 0&#46;006&#8211;0&#46;49&#44; p&#61;0&#46;001&#41;&#46; Major bleeding was an independent predictor of in-hospital mortality &#40;OR 10&#46;9&#44; 95&#37; CI 2&#46;36&#8211;50&#46;74&#44; p&#61;0&#46;002&#41;&#44; and was associated with comorbidities and pharmacological therapy during hospitalization&#46; The GRACE score showed good diagnostic accuracy for in-hospital mortality &#40;AUC 0&#46;75&#44; 95&#37; CI 0&#46;63&#8211;0&#46;87&#44; p&#60;0&#46;001&#41;&#44; but the CRUSADE score had weak discriminatory capacity for major bleeding &#40;AUC 0&#46;51&#44; 95&#37; CI 0&#46;30&#8211;0&#46;63&#44; p&#61;0&#46;942&#41;&#44; unlike our prediction model &#40;AUC 0&#46;68&#44; 95&#37; CI 0&#46;52&#8211;0&#46;84&#44; p&#61;0032&#41;&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0030">Conclusions</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">The GRACE score is suitable for risk assessment in octogenarians with NSTE-ACS&#44; but the CRUSADE score is inadequate&#44; and new scores are required to assess bleeding risk in this age-group&#46;</p>"
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        "titulo" => "Resumo"
        "resumen" => "<span class="elsevierStyleSectionTitle" id="sect0040">Introdu&#231;&#227;o</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">A avalia&#231;&#227;o do risco isqu&#233;mico e hemorr&#225;gico &#233; fundamental na abordagem dos idosos com s&#237;ndromes coron&#225;rias agudas&#44; mas tem sido pouco estudada&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0045">Objetivo</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Este estudo pretende avaliar a adequa&#231;&#227;o dos <span class="elsevierStyleItalic">scores</span> GRACE e CRUSADE a doentes com s&#237;ndrome coron&#225;ria aguda sem supradesnivelamento-ST e idade &#8805;80 anos&#44; e identificar os principais preditores de mortalidade intra-hospitalar e hemorragia <span class="elsevierStyleItalic">major</span> nesta popula&#231;&#227;o&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0050">M&#233;todos</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Foram avaliados 544 doentes com idade &#8805;80 anos com s&#237;ndrome coron&#225;ria aguda sem supradesnivelamento-ST&#44; inclu&#237;dos no Registo Portugu&#234;s de S&#237;ndromes Coron&#225;rias Agudas&#46; Foram identificados os preditores de mortalidade intra-hospitalar e de hemorragia <span class="elsevierStyleItalic">major</span> durante o internamento&#46; Criaram-se modelos preditores destes <span class="elsevierStyleItalic">endpoints</span>&#44; posteriormente comparados com os <span class="elsevierStyleItalic">scores</span> GRACE e CRUSADE&#44; e avaliada a sua adequa&#231;&#227;o &#224; popula&#231;&#227;o em estudo&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">A realiza&#231;&#227;o de coronariografia associou-se a redu&#231;&#227;o do risco de mortalidade intra-hospitalar&#44; sem aumento do risco de hemorragia <span class="elsevierStyleItalic">major</span> &#40;OR 0&#44;2&#44; IC 95&#37; 0&#44;006-0&#44;49&#44; p&#61;0&#44;001&#41;&#46; A hemorragia <span class="elsevierStyleItalic">major</span> foi preditora independente de mortalidade intra-hospitalar &#40;OR 10&#44;9&#44; IC 95&#37; 2&#44;36-50&#44;74&#44; p&#61;0&#44;002&#41;&#44; e associou-se a comorbilidades e &#224; terap&#234;utica farmacol&#243;gica institu&#237;da&#46; O <span class="elsevierStyleItalic">score</span> GRACE apresentou boa acuidade diagn&#243;stica para mortalidade intra-hospitalar &#40;AUC 0&#44;75&#44; IC 95&#37; 0&#44;63-0&#44;87&#44; p&#60;0&#44;001&#41;&#44; mas o CRUSADE mostrou fraca capacidade discriminat&#243;ria de hemorragia <span class="elsevierStyleItalic">major</span> &#40;AUC 0&#44;51&#44; IC 95&#37; 0&#44;30-0&#44;63&#44; p&#61;0&#44;942&#41;&#44; contrariamente ao modelo preditor &#40;AUC 0&#44;68&#44; IC 95&#37; 0&#44;52-0&#44;84&#44; p&#61;0&#44;032&#41;&#46;</p> <span class="elsevierStyleSectionTitle" id="sect0060">Conclus&#245;es</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">O <span class="elsevierStyleItalic">score</span> GRACE &#233; adequado para avalia&#231;&#227;o de risco nos octogen&#225;rios&#44; mas o CRUSADE &#233; desajustado&#44; sendo necess&#225;rios novos <span class="elsevierStyleItalic">scores</span> para a avalia&#231;&#227;o de risco hemorr&#225;gico nesta faixa et&#225;ria&#46;</p>"
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    "NotaPie" => array:2 [
      0 => array:2 [
        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0015">Please cite this article as&#58; Faustino A&#44; Mota P&#44; Silva J&#44; Em nome dos Investigadores do Registo Nacional de S&#237;ndromes Coron&#225;rias Agudas da Sociedade Portuguesa de Cardiologia&#46; S&#237;ndromes coron&#225;rias agudas sem supradesnivelamento-ST nos octogen&#225;rios&#58; aplicabilidade dos scores GRACE e CRUSADE&#46; Rev Port Cardiol&#46; 2014&#59;33&#58;617&#8211;627&#46;</p>"
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        "nota" => "<p class="elsevierStyleNotepara" id="npar0020">Centro Nacional de Colec&#231;&#227;o de Dados em Cardiologia&#44; Sociedade Portuguesa de Cardiologia&#46;</p>"
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          0 => array:1 [
            "definicion" => array:12 [
              0 => array:2 [
                "termino" => "ACS"
                "descripcion" => "<p id="par0005" class="elsevierStylePara elsevierViewall">acute coronary syndrome</p>"
              ]
              1 => array:2 [
                "termino" => "AUC"
                "descripcion" => "<p id="par0010" class="elsevierStylePara elsevierViewall">area under the curve</p>"
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              2 => array:2 [
                "termino" => "CAD"
                "descripcion" => "<p id="par0015" class="elsevierStylePara elsevierViewall">coronary artery disease</p>"
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              3 => array:2 [
                "termino" => "COPD"
                "descripcion" => "<p id="par0020" class="elsevierStylePara elsevierViewall">chronic obstructive pulmonary disease</p>"
              ]
              4 => array:2 [
                "termino" => "IHM"
                "descripcion" => "<p id="par0025" class="elsevierStylePara elsevierViewall">in-hospital mortality</p>"
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              5 => array:2 [
                "termino" => "MB"
                "descripcion" => "<p id="par0030" class="elsevierStylePara elsevierViewall">major bleeding</p>"
              ]
              6 => array:2 [
                "termino" => "MI"
                "descripcion" => "<p id="par0035" class="elsevierStylePara elsevierViewall">myocardial infarction</p>"
              ]
              7 => array:2 [
                "termino" => "NSTE-ACS"
                "descripcion" => "<p id="par0040" class="elsevierStylePara elsevierViewall">non-ST-elevation acute coronary syndromes</p>"
              ]
              8 => array:2 [
                "termino" => "NSTEMI"
                "descripcion" => "<p id="par0045" class="elsevierStylePara elsevierViewall">non-ST-elevation myocardial infarction</p>"
              ]
              9 => array:2 [
                "termino" => "PM"
                "descripcion" => "<p id="par0050" class="elsevierStylePara elsevierViewall">prediction model</p>"
              ]
              10 => array:2 [
                "termino" => "ProACS"
                "descripcion" => "<p id="par0055" class="elsevierStylePara elsevierViewall">Portuguese Registry on Acute Coronary Syndromes</p>"
              ]
              11 => array:2 [
                "termino" => "UA"
                "descripcion" => "<p id="par0060" class="elsevierStylePara elsevierViewall">unstable angina</p>"
              ]
            ]
          ]
        ]
      ]
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          "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">ROC curve analysis of the GRACE score and IHM-PM for assessment of in-hospital mortality&#46; AUC&#58; area under the curve&#59; CI&#58; confidence interval&#59; Difference&#58; difference between the AUCs of the two ROC curves&#59; IHM-PM&#58; in-hospital mortality prediction model&#46;</p>"
        ]
      ]
      2 => array:7 [
        "identificador" => "fig0015"
        "etiqueta" => "Figure 3"
        "tipo" => "MULTIMEDIAFIGURA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "figura" => array:1 [
          0 => array:4 [
            "imagen" => "gr3.jpeg"
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            "Tamanyo" => 195320
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        "descripcion" => array:1 [
          "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">ROC curve analysis of the CRUSADE score and MB-PM for assessment of major bleeding&#46; AUC&#58; area under the curve&#59; CI&#58; confidence interval&#59; MB-PM&#58; major bleeding prediction model&#46;</p>"
        ]
      ]
      3 => array:7 [
        "identificador" => "tbl0005"
        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
        "mostrarFloat" => true
        "mostrarDisplay" => false
        "tabla" => array:3 [
          "leyenda" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">BMI&#58; body mass index&#59; CABG&#58; coronary artery bypass grafting&#59; CAD&#58; coronary artery disease&#59; CB&#58; cardiac biomarkers&#59; CC&#58; creatinine clearance&#59; COPD&#58; chronic obstructive pulmonary disease&#59; CRF&#58; chronic renal failure&#59; GP&#58; glycoprotein&#59; HF&#58; heart failure&#59; IABP&#58; intra-aortic balloon pump&#59; IHM&#58; in-hospital mortality&#59; MB&#58; major bleeding&#59; MI&#58; myocardial infarction&#59; MV&#58; mechanical ventilation&#59; NSTEMI&#58; non-ST-segment myocardial infarction&#59; NT-proBNP&#58; N-terminal pro-brain-type natriuretic peptide&#59; PAD&#58; peripheral arterial disease&#59; PCI&#58; percutaneous coronary intervention&#59; SBP&#58; systolic blood pressure&#59; TIA&#58; transient ischemic attack&#59; UA&#58; unstable angina&#59; UFH&#58; unfractionated heparin&#46;</p>"
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Male&#44; &#37; &#40;n&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">53&#46;1&#37; &#40;289&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Cardiac arrest&#44; &#37; &#40;n&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>BMI&#44; kg&#47;m<span class="elsevierStyleSup">2</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">26&#177;4&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Heart rate&#44; bpm&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">81&#177;21&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " colspan="2" align="left" valign="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SBP&#44; mmHg&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">142&#177;30&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Hypertension&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">85&#46;7&#37; &#40;466&#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"><span class="elsevierStyleHsp" style=""></span>ST-segment depression&#44; &#37; &#40;n&#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">43&#46;8&#37; &#40;238&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">29&#46;2&#37; &#40;159&#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</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">49&#46;1&#37; &#40;267&#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"><span class="elsevierStyleHsp" style=""></span>Hematocrit&#44; &#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">37&#46;6&#177;7&#46;2&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Smoker&nbsp;\t\t\t\t\t\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;5&#37; &#40;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"><span class="elsevierStyleHsp" style=""></span>Blood glucose&#44; mg&#47;dl&nbsp;\t\t\t\t\t\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">127 &#40;106&#59;170&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Ex-smoker&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">12&#46;1&#37; &#40;66&#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"><span class="elsevierStyleHsp" style=""></span>Creatinine&#44; mg&#47;dl&nbsp;\t\t\t\t\t\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">1&#46;1 &#40;0&#46;9&#59; 1&#46;5&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Family history of 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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;6&#37; &#40;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"><span class="elsevierStyleHsp" style=""></span>CC&#44; ml&#47;min<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></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">42&#46;8 &#40;31&#46;8&#59; 55&#46;4&#41;&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="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Personal history&#44; &#37; &#40;n&#41;</span></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"><span class="elsevierStyleHsp" style=""></span>Elevated CB&#44; &#37; &#40;n&#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">20&#46;7&#37; &#40;97&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>MI&nbsp;\t\t\t\t\t\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">30&#37; &#40;163&#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"><span class="elsevierStyleHsp" style=""></span>BNP&#44; pg&#47;ml&nbsp;\t\t\t\t\t\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">127 &#40;106&#59; 170&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Previous revascularization&nbsp;\t\t\t\t\t\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">22&#46;8&#37; &#40;124&#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"><span class="elsevierStyleHsp" style=""></span>NT-proBNP&#44; pg&#47;ml&nbsp;\t\t\t\t\t\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">5400 &#40;1714&#59; 12 600&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>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">13&#46;4&#37; &#40;73&#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  " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Angiography and revascularization</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>PAD&nbsp;\t\t\t\t\t\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;6&#37; &#40;52&#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"><span class="elsevierStyleHsp" style=""></span>Coronary angiography&nbsp;\t\t\t\t\t\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">59&#46;4&#37; &#40;323&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
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                  \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">17&#46;8&#37; &#40;97&#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
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                  \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">34&#46;7&#37; &#40;189&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">7&#46;9&#37; &#40;43&#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"><span class="elsevierStyleHsp" style=""></span>CABG&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">14&#46;7&#37; &#40;80&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;5&#37; &#40;19&#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  " colspan="2" align="left" valign="\n
                  \t\t\t\t\ttop\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</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">6&#46;8&#37; &#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"><span class="elsevierStyleHsp" style=""></span>Invasive MV&nbsp;\t\t\t\t\t\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">1&#46;8&#37; &#40;10&#41;&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  " 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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">4&#46;6&#37; &#40;25&#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"><span class="elsevierStyleHsp" style=""></span>Non-invasive MV&nbsp;\t\t\t\t\t\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">4&#46;0&#37; &#40;22&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HF&nbsp;\t\t\t\t\t\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">17&#46;8&#37; &#40;97&#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"><span class="elsevierStyleHsp" style=""></span>Temporary pacemaker&nbsp;\t\t\t\t\t\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">1&#46;3&#37; &#40;7&#41;&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="2" align="left" valign="\n
                  \t\t\t\t\ttop\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"><span class="elsevierStyleHsp" style=""></span>IABP&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">0&#46;4&#37; &#40;2&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>GRACE&nbsp;\t\t\t\t\t\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">161&#177;27&nbsp;\t\t\t\t\t\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"><span class="elsevierStyleHsp" style=""></span>Inotropic agents&nbsp;\t\t\t\t\t\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">3&#46;9&#37; &#40;21&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>CRUSADE&nbsp;\t\t\t\t\t\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">44&#177;14&nbsp;\t\t\t\t\t\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"><span class="elsevierStyleHsp" style=""></span>Levosimendan&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">0&#46;9&#37; &#40;5&#41;&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="2" align="left" valign="\n
                  \t\t\t\t\ttop\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
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                  \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">97&#46;6&#37; &#40;531&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>NSTEMI&#44; &#37; &#40;n&#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">91&#37; &#40;495&#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"><span class="elsevierStyleHsp" style=""></span>Clopidogrel&nbsp;\t\t\t\t\t\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">86&#46;9&#37; &#40;473&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>UA&#44; &#37; &#40;n&#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&#37; &#40;49&#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"><span class="elsevierStyleHsp" style=""></span>GP IIb&#47;IIIa inhibitors&nbsp;\t\t\t\t\t\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">5&#46;9&#37; &#40;32&#41;&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="2" align="left" valign="\n
                  \t\t\t\t\ttop\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"><span class="elsevierStyleHsp" style=""></span>UFH&nbsp;\t\t\t\t\t\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">13&#46;6&#37; &#40;74&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>MB&nbsp;\t\t\t\t\t\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;9&#37; &#40;16&#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"><span class="elsevierStyleHsp" style=""></span>Enoxaparin&nbsp;\t\t\t\t\t\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">76&#46;3&#37; &#40;415&#41;&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>IHM&nbsp;\t\t\t\t\t\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">6&#46;6&#37; &#40;36&#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"><span class="elsevierStyleHsp" style=""></span>Fondaparinux&nbsp;\t\t\t\t\t\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">13&#46;8&#37; &#40;75&#41;&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">ACE&#58; angiotensin-converting enzyme&#59; ARBs&#58; angiotensin receptor blockers&#59; CA&#58; cardiac arrest&#59; HF&#58; heart failure&#59; IHM&#58; in-hospital mortality&#59; LM&#58; left main&#59; LV&#58; left ventricular&#59; MB&#58; major bleeding&#59; MV&#58; mechanical ventilation&#59; PCI&#58; percutaneous coronary intervention&#59; SBP&#58; systolic blood pressure&#59; VT&#58; ventricular tachycardia&#46;</p>"
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">&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" style="border-bottom: 2px solid black">No IHM&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" style="border-bottom: 2px solid black">IHM&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">p&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Heart rate on admission&#44; bpm&nbsp;\t\t\t\t\t\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">81&#177;21&nbsp;\t\t\t\t\t\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">89&#177;24&nbsp;\t\t\t\t\t\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;021&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>SBP on admission&#44; mmHg&nbsp;\t\t\t\t\t\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">144&#177;30&nbsp;\t\t\t\t\t\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">121&#177;30&nbsp;\t\t\t\t\t\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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Killip class &#62;I on admission&#44; &#37; &#40;n&#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">24&#46;6&#37; &#40;125&#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">69&#46;4&#37; &#40;25&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>ST-segment depression on admission&#44; &#37; &#40;n&#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">39&#46;5&#37; &#40;215&#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">63&#46;9&#37; &#40;23&#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;014&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Isolated troponin elevation&#44; &#37; &#40;n&#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">18&#46;7&#37; &#40;95&#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">5&#46;6&#37; &#40;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;037&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Creatinine on admission&#44; mg&#47;dl&nbsp;\t\t\t\t\t\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;41&#177;1&#46;34&nbsp;\t\t\t\t\t\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;46&#177;0&#46;57&nbsp;\t\t\t\t\t\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" 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"><span class="elsevierStyleHsp" style=""></span>Peak creatinine&#44; mg&#47;dl&nbsp;\t\t\t\t\t\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;6&#177;1&#46;08&nbsp;\t\t\t\t\t\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;28&#177;1&#46;02&nbsp;\t\t\t\t\t\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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Blood glucose on admission&#44; mg&#47;dl&nbsp;\t\t\t\t\t\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">148&#177;70&nbsp;\t\t\t\t\t\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">178&#177;132&nbsp;\t\t\t\t\t\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" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" 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="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Treatment during hospitalization</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Beta-blockers&#44; &#37; &#40;n&#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">73&#46;8&#37; &#40;375&#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">44&#46;4&#37; &#40;16&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>ACE inhibitors&#47;ARBs&#44; &#37; &#40;n&#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">84&#46;2&#37; &#40;428&#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">58&#46;3&#37; &#40;21&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Calcium channel blockers&#44; &#37; &#40;n&#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">15&#46;7&#37; &#40;80&#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;8&#37; &#40;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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;033&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Inotropic agents&#44; &#37; &#40;n&#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;6&#37; &#40;13&#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">22&#46;2&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>Levosimendan&#44; &#37; &#40;n&#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;4&#37; &#40;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">8&#46;3&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>Coronary angiography&#44; &#37; &#40;n&#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">62&#46;2&#37; &#40;316&#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">19&#46;4&#37; &#40;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><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>LM without significant stenosis&#44; &#37; &#40;n&#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">45&#46;7&#37; &#40;232&#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">8&#46;3&#37; &#40;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">0&#46;002&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>PCI&#44; &#37; &#40;n&#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">36&#46;8&#37; &#40;187&#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">5&#46;6&#37; &#40;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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Invasive MV&#44; &#37; &#40;n&#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;2&#37; &#40;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">11&#46;1&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>Non-invasive MV&#44; &#37; &#40;n&#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;4&#37; &#40;12&#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">27&#46;7&#37; &#40;10&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Temporary pacemaker&#44; &#37; &#40;n&#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;8&#37; &#40;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">7&#46;7&#37; &#40;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" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" 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="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Complications during hospitalization</span></td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>LV ejection fraction &#60;30&#37;&#44; &#37; &#40;n&#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">3&#46;1&#37; &#40;16&#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">30&#46;6&#37; &#40;11&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>HF&#44; &#37; &#40;n&#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">26&#46;6&#37; &#40;135&#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">75&#37; &#40;27&#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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Mechanical complications&#44; &#37; &#40;n&#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&#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">11&#46;1&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>Reinfarction&#44; &#37; &#40;n&#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;4&#37; &#40;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">7&#46;7&#37; &#40;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">0&#46;003&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Sustained VT&#44; &#37; &#40;n&#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;6&#37; &#40;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">13&#46;9&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>Resuscitated CA&#44; &#37; &#40;n&#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;2&#37; &#40;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">11&#46;1&#37; &#40;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" 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"><span class="elsevierStyleHsp" style=""></span>MB&#44; &#37; &#40;n&#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;6&#37; &#40;13&#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">8&#46;3&#37; &#40;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></tbody></table>
                  """
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          "leyenda" => "<p id="spar0100" class="elsevierStyleSimplePara elsevierViewall">CI&#58; confidence interval&#59; LV&#58; left ventricular&#59; MB&#58; major bleeding&#59; OR&#58; odds ratio&#46;</p>"
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              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td 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" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">OR&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">95&#37; CI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">p&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Killip class &#62;I on admission&nbsp;\t\t\t\t\t\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">3&#46;5&nbsp;\t\t\t\t\t\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;41&#8211;8&#46;87&nbsp;\t\t\t\t\t\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" 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">LV ejection fraction &#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">16&#46;9&nbsp;\t\t\t\t\t\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">6&#46;17&#8211;50&#46;74&nbsp;\t\t\t\t\t\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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">MB&nbsp;\t\t\t\t\t\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;9&nbsp;\t\t\t\t\t\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;36&#8211;50&#46;74&nbsp;\t\t\t\t\t\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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Coronary angiography&nbsp;\t\t\t\t\t\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;2&nbsp;\t\t\t\t\t\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&#8211;0&#46;49&nbsp;\t\t\t\t\t\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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          "leyenda" => "<p id="spar0110" class="elsevierStyleSimplePara elsevierViewall">COPD&#58; chronic obstructive pulmonary disease&#59; MB&#58; major bleeding&#59; Other antiplatelets&#58; antiplatelets other than aspirin and clopidogrel&#46;</p>"
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            0 => array:2 [
              "tabla" => array:1 [
                0 => """
                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td 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" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">No MB&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">MB&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td 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" style="border-bottom: 2px solid black">p&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleItalic">History</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">7&#46;4&#37; &#40;39&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">25&#37; &#40;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;011&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><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"><span class="elsevierStyleHsp" style=""></span>Bleeding&#44; &#37; &#40;n&#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">3&#46;2&#37; &#40;17&#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">12&#46;5&#37; &#40;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;039&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="4" 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="4" align="left" valign="\n
                  \t\t\t\t\ttop\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Killip class &#62;I on admission&#44; &#37; &#40;n&#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">10&#37; &#40;53&#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">31&#46;2&#37; &#40;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">0&#46;022&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Peak creatinine&#44; mg&#47;dl&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">1&#46;63&#177;1&#46;08&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">2&#46;18&#177;1&#46;20&nbsp;\t\t\t\t\t\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;037&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Minimum hemoglobin&#44; g&#47;dl&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">11&#46;2&#177;1&#46;9&nbsp;\t\t\t\t\t\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;1&#177;2&#46;4&nbsp;\t\t\t\t\t\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" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="4" 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="4" align="left" valign="\n
                  \t\t\t\t\ttop\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"><span class="elsevierStyleHsp" style=""></span>Unfractionated heparin&#44; &#37; &#40;n&#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">13&#46;1&#37; &#40;69&#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">31&#46;2&#37; &#40;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">0&#46;038&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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Other antiplatelets&#44; &#37; &#40;n&#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;1&#37; &#40;11&#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">12&#46;5&#37; &#40;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
                  \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" 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"><span class="elsevierStyleHsp" style=""></span>Aldosterone antagonists&#44; &#37; &#40;n&#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">12&#46;1&#37; &#40;64&#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">37&#46;5&#37; &#40;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;003&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="4" 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  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Length of hospital stay&#44; days</span>&nbsp;\t\t\t\t\t\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">6&#177;5&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">10&#177;3&nbsp;\t\t\t\t\t\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="4" 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="4" align="left" valign="\n
                  \t\t\t\t\ttop\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"><span class="elsevierStyleHsp" style=""></span>IHM&#44; &#37; &#40;n&#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">6&#46;25&#37; &#40;33&#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">18&#46;8&#37; &#40;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">0&#46;048&nbsp;\t\t\t\t\t\t\n
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                  """
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          "leyenda" => "<p id="spar0120" class="elsevierStyleSimplePara elsevierViewall">CI&#58; confidence interval&#59; COPD&#58; chronic obstructive pulmonary disease&#59; MB&#58; major bleeding&#59; OR&#58; odds ratio&#59; Other antiplatelets&#58; antiplatelets other than aspirin and clopidogrel&#46;</p>"
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                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">Predictors of MB on multivariate analysis&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">OR&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" 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
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" style="border-bottom: 2px solid black">p&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Unfractionated heparin during hospitalization&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&#46;2&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">1&#46;02&#8211;10&#46;1&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;046&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Other antiplatelets during hospitalization&nbsp;\t\t\t\t\t\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">6&#46;6&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">1&#46;19&#8211;36&#46;7&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">0&#46;031&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
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span>Aldosterone antagonists during hospitalization&nbsp;\t\t\t\t\t\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">4&#46;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;34&#8211;12&#46;6&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;014&nbsp;\t\t\t\t\t\t\n
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                      "titulo" => "ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation&#46; The Task Force for the management of acute coronary syndromes &#40;ACS&#41; in patients presenting without persistent ST-segment elevation of the European Society of Cardiology &#40;ESC&#41;"
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Article information
ISSN: 21742049
Original language: English
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Revista Portuguesa de Cardiologia (English edition)
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