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NSTE-ACS includes non-ST elevation myocardial infarction &#40;NSTEMI&#41;&#44; defined as chest pain associated with elevated biomarkers of myocardial necrosis with or without alterations in ventricular repolarization suggestive of ischemia&#44; and unstable angina&#44; which is characterized by precordial pain with no rise in necrosis markers&#46; Patients who did not undergo blood tests on admission were excluded&#46;</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Patient characteristics</span><p id="par0020" class="elsevierStylePara elsevierViewall">Demographic characteristics&#44; body mass index&#44; diastolic and systolic blood pressure &#40;SBP&#41;&#44; and heart rate &#40;HR&#41; at admission were determined for each patient&#46; Cardiovascular risk factors &#40;dyslipidemia&#44; hypertension and diabetes&#41; and history of coronary artery disease &#40;previous myocardial infarction and percutaneous or surgical revascularization&#41;&#44; cerebrovascular or peripheral arterial disease were also determined&#44; as well as medication &#40;aspirin&#44; angiotensin-converting enzyme inhibitors&#44; beta-blockers or statins&#41; taken as outpatients or begun during hospitalization&#46; The patients were stratified according to the Crusade bleeding score&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Laboratory characteristics</span><p id="par0025" class="elsevierStylePara elsevierViewall">RDW values were obtained from baseline laboratory tests performed in a central laboratory using a Cell-Dyn 3700 analyzer&#46; Reference values were between 11&#46;6&#37; and 14&#37;&#46; In addition&#44; admission values for hemoglobin &#40;Hb&#41;&#44; serum creatinine and creatinine clearance &#40;estimated by the Cockcroft-Gault formula&#41;&#44; platelet count&#44; prothrombin time&#44; activated partial thromboplastin time and international normalized ratio were recorded&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Outcome</span><p id="par0030" class="elsevierStylePara elsevierViewall">The primary outcome was defined as the occurrence of major bleeding during hospitalization according to the Crusade scoring system&#58; &#62;12&#37; fall in baseline hematocrit&#59; intracranial bleeding&#59; documented retroperitoneal bleeding&#59; need for red cell concentrate &#40;RCC&#41; transfusion with baseline hematocrit &#62;28&#37;&#59; need for RCC transfusion with baseline hematocrit &#60;28&#37; and documented bleeding&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">Secondary outcomes were in-hospital death and combined in-hospital death and major bleeding&#46;</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Statistical analysis</span><p id="par0040" class="elsevierStylePara elsevierViewall">The population was divided into tertiles according to RDW values&#46; The three groups were compared in terms of demographic&#44; clinical and laboratory characteristics and adverse event rate&#46; Continuous variables were expressed as means &#177; standard deviation and compared using the one-way ANOVA test and the Student&#39;s t test&#46; Categorical variables were expressed as frequencies and percentages and compared using the chi-square test&#46; Results with p&#60;0&#46;05 were considered statistically significant&#46; A logistic regression model was used to assess the correlation between RDW values and bleeding events and to determine predictors of major bleeding&#44; which included the variables that presented statistically significant differences on univariate analysis&#44; and Hb&#46; RDW was included as a categorical variable&#46; The statistical program used was SPSS version 16&#46;0 &#40;SPSS Inc&#46;&#44; Chicago&#44; IL&#44; USA&#41;&#46;</p></span></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Results</span><p id="par0045" class="elsevierStylePara elsevierViewall">Mean RDW was 15&#46;1&#37;&#177;1&#46;6&#37; &#40;median 14&#46;9&#37;&#41;&#46; Of the 76&#46;6&#37; of patients presenting with NSTEMI&#44; 83&#37; underwent coronary angiography&#44; all via femoral access&#46; Patients with higher RDW values were older and were more often previously medicated with aspirin and beta-blockers&#44; and more had a history of coronary revascularization&#46; Those in the third tertile more frequently had ST-segment depression&#44; higher HR and lower Hb at admission&#46; There were no significant differences between the three groups in antithrombotic therapy begun during hospitalization&#44; or in the number of patients undergoing angioplasty&#46; Those in the third tertile had higher Crusade bleeding scores&#46; The other variables assessed are compared in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0050" class="elsevierStylePara elsevierViewall">The rate of major bleeding was 7&#37; &#40;36 events&#41;&#46; Of these patients&#44; 32 &#40;89&#37;&#41; had undergone coronary angiography&#46; In 44&#37; of cases &#40;n&#61;16&#41;&#44; the bleeding was associated with the arterial puncture site &#40;14 groin hematomas and two cases of retroperitoneal bleeding&#41;&#46; The site of bleeding was not identified in 33&#37; of patients &#40;n&#61;12&#41;&#46; There was also one case of alveolar hemorrhage&#44; one of subarachnoid hemorrhage&#44; two cases of genitourinary bleeding&#44; three of gastrointestinal bleeding and one associated with recent orthopedic surgery&#46; On univariate analysis &#40;<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>&#41;&#44; bleeding was associated with older age&#44; higher SBP and renal dysfunction&#46; These patients were more often medicated with glycoprotein &#40;Gp&#41; IIb&#47;IIIa inhibitors and more had undergone coronary angioplasty&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0055" class="elsevierStylePara elsevierViewall">Higher RDW values were associated with a higher Crusade score and a higher percentage of in-hospital bleeding&#44; death and combined in-hospital death and major bleeding &#40;<a class="elsevierStyleCrossRef" href="#fig0005">Figure 1</a>&#41;&#46; The c-statistic for the Crusade bleeding score in our population was 0&#46;597&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><p id="par0060" class="elsevierStylePara elsevierViewall">Independent predictors of bleeding events were use of Gp IIb&#47;IIIa inhibitors&#44; more than one pain episode&#44; SBP &#62;142<span class="elsevierStyleHsp" style=""></span>mmHg&#44; creatinine clearance &#60;43<span class="elsevierStyleHsp" style=""></span>ml&#47;min&#44; and RDW &#62;15&#46;7&#37; &#40;<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>&#41;&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Discussion</span><p id="par0065" class="elsevierStylePara elsevierViewall">The association between RDW and increased ischemic events in patients with cardiovascular disease is well known&#44; but there have been few studies on its relation to bleeding events&#46; In our study population&#44; RDW was an independent predictor of major bleeding in patients with NSTEMI&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall">As reported in other studies&#44; patients in the highest tertile of RDW presented characteristics associated with more severe coronary artery disease&#44; particularly older age and a greater frequency of previous myocardial revascularization&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#44;3</span></a> They more frequently presented higher HR&#44; ST-segment depression&#44; anemia and renal dysfunction at admission&#46; However&#44; this patient group was treated more conservatively&#44; less often undergoing coronary angiography&#46; As in other populations with acute coronary syndrome&#44; high RDW values were associated with worse outcome and greater in-hospital mortality in our study&#46;<a class="elsevierStyleCrossRefs" href="#bib0010"><span class="elsevierStyleSup">2&#44;3&#44;5&#8211;7&#44;10</span></a></p><p id="par0075" class="elsevierStylePara elsevierViewall">As in the literature&#44; the Crusade score showed poor discriminatory ability to predict bleeding events in our population&#46;<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">12&#44;13</span></a> It is thus important to identify new risk factors that will lead to better stratification of risk for major bleeding in patients with NSTE-ACS&#46;</p><p id="par0080" class="elsevierStylePara elsevierViewall">The presence of renal failure and use of Gp IIb&#47;IIIa inhibitors were also independent predictors of bleeding&#44; as noted in previous studies&#46;<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> However&#44; no correlation was found in our population with other conventional risk factors&#44; such as female gender or heart failure&#46; Bleeding was associated with the arterial puncture site in a significant proportion of cases&#44; which highlights the importance of using radial access to reduce adverse events&#46;</p><p id="par0085" class="elsevierStylePara elsevierViewall">Several studies have reported that increased ischemic risk is often associated with a higher bleeding event rate&#44; which makes management of these patients more difficult&#46; As with other factors associated with more severe cardiovascular disease and worse prognosis in patients with NSTE-ACS&#44; RDW is also a predictor of bleeding&#46; The fact that it is an easily available laboratory parameter in routine blood tests that does not entail additional costs may encourage its wider use in the future&#46;</p><p id="par0090" class="elsevierStylePara elsevierViewall">The mechanisms behind its association with worse outcome in patients with cardiovascular disease have yet to be fully clarified but are probably multifactorial&#46; High RDW values may indicate accelerated red blood cell destruction&#44; nutritional deficiency &#40;folic acid or vitamin B<span class="elsevierStyleInf">12</span>&#41;&#44; a proinflammatory state&#44; or renal dysfunction that impairs erythropoiesis and hence red blood cell maturation&#46;<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1&#44;2&#44;5</span></a> Further studies will be required for a better understanding of the relation of RDW to increased adverse events in patients with cardiovascular disease&#46;</p><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Study limitations</span><p id="par0095" class="elsevierStylePara elsevierViewall">The present study has the limitations of all single-center retrospective&#44; non-randomized analyses&#46; Although baseline Hb and other parameters were included in the multivariate analysis&#44; the presence of confounding factors&#44; known or unknown&#44; such as comorbidities and levels of erythropoietin&#44; iron&#44; folic acid and vitamin B<span class="elsevierStyleInf">12</span>&#44; cannot be excluded&#46; It is also important to assess the prognostic value of RDW in patients with ST-elevation ACS&#44; who were not included in this analysis&#44; as well as its ability to predict events in the long term&#46;</p></span></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conclusions</span><p id="par0100" class="elsevierStylePara elsevierViewall">In our population&#44; higher RDW values were associated with greater in-hospital mortality and were an independent predictor of in-hospital major bleeding in patients with NSTE-ACS&#46; The ready availability of this parameter at no additional cost may encourage its wider use in clinical practice in the future&#46;</p></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Ethical disclosures</span><span id="sec0065" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Protection of human and animal subjects</span><p id="par0105" class="elsevierStylePara elsevierViewall">The authors declare that no experiments were performed on humans or animals for this study&#46;</p></span><span id="sec0070" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Confidentiality of data</span><p id="par0110" class="elsevierStylePara elsevierViewall">The authors declare that they have followed the protocols of their work center on the publication of patient data and that all the patients included in the study received sufficient information and gave their written informed consent to participate in the study&#46;</p></span><span id="sec0075" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Right to privacy and informed consent</span><p id="par0115" 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="sec0080" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conflicts of interest</span><p id="par0120" class="elsevierStylePara elsevierViewall">The authors have no conflicts of interest to declare&#46;</p></span></span>"
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          "titulo" => "Abbreviations"
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            1 => "Introdu&#231;&#227;o"
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          "titulo" => "Palavras-chave"
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              "titulo" => "Patient characteristics"
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              "identificador" => "sec0025"
              "titulo" => "Laboratory characteristics"
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              "identificador" => "sec0030"
              "titulo" => "Outcome"
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              "titulo" => "Study limitations"
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          "titulo" => "Ethical disclosures"
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              "identificador" => "sec0065"
              "titulo" => "Protection of human and animal subjects"
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              "titulo" => "Confidentiality of data"
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            2 => array:2 [
              "identificador" => "sec0075"
              "titulo" => "Right to privacy and informed consent"
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    "fechaRecibido" => "2011-11-10"
    "fechaAceptado" => "2012-05-02"
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        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Keywords"
          "identificador" => "xpalclavsec166298"
          "palabras" => array:4 [
            0 => "Non-ST elevation acute coronary syndrome"
            1 => "Bleeding"
            2 => "Red blood cell distribution"
            3 => "Prognosis"
          ]
        ]
        1 => array:4 [
          "clase" => "abr"
          "titulo" => "Abbreviations"
          "identificador" => "xpalclavsec166299"
          "palabras" => array:13 [
            0 => "ACEIs"
            1 => "BMI"
            2 => "CABG"
            3 => "DBP"
            4 => "Gp"
            5 => "Hb"
            6 => "HR"
            7 => "INR"
            8 => "NSTE-ACS"
            9 => "NSTEMI"
            10 => "RCC"
            11 => "RDW"
            12 => "SBP"
          ]
        ]
      ]
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        0 => array:4 [
          "clase" => "keyword"
          "titulo" => "Palavras-chave"
          "identificador" => "xpalclavsec166297"
          "palabras" => array:4 [
            0 => "S&#237;ndrome Coron&#225;ria aguda sem supradesnivelamento do segmento ST"
            1 => "Hemorragia"
            2 => "&#205;ndice de dispers&#227;o eritrocit&#225;ria"
            3 => "Progn&#243;stico"
          ]
        ]
      ]
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    "tieneResumen" => true
    "resumen" => array:2 [
      "en" => array:2 [
        "titulo" => "Abstract"
        "resumen" => "<span class="elsevierStyleSectionTitle">Introduction</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Higher values of red blood cell distribution width &#40;RDW&#41; have recently been associated with worse outcome in patients with cardiovascular disease&#46; However&#44; its relation to bleeding events in patients with non-ST elevation acute coronary syndromes has not been established&#46;</p> <span class="elsevierStyleSectionTitle">Aim</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">To determine the prognostic value of RDW in patients with non-ST segment elevation acute coronary syndromes&#44; particularly regarding the risk of major bleeding&#46;</p> <span class="elsevierStyleSectionTitle">Methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">We analyzed 513 consecutive patients admitted with non-ST elevation acute coronary syndromes&#46; The population was divided into tertiles of baseline RDW and clinical&#44; laboratory characteristics and adverse events were analyzed for each group&#46; The primary outcome was defined as the occurrence of major bleeding &#40;according to the Crusade bleeding score&#41;&#46; The predictive value of RDW for risk of major bleeding was determined&#46;</p> <span class="elsevierStyleSectionTitle">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The mean RDW was 15&#46;13&#37;&#177;1&#46;62&#37;&#46; Patients in the third tertile were older and more frequently had renal dysfunction or previous coronary revascularization&#46; Higher values of RDW were associated with greater risk of major bleeding and in-hospital death&#46; RDW &#62;15&#46;7&#37; was an independent predictor of bleeding events &#40;odds ratio 3&#46;1&#44; 95&#37; CI 1&#46;4-6&#46;9&#41;&#46;</p> <span class="elsevierStyleSectionTitle">Conclusions</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">In a population of patients with non-ST elevation acute coronary syndromes&#44; RDW was associated with higher in-hospital mortality and was an independent predictor of in-hospital major bleeding&#46;</p>"
      ]
      "pt" => array:2 [
        "titulo" => "Resumo"
        "resumen" => "<span class="elsevierStyleSectionTitle">Introdu&#231;&#227;o</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">N&#237;veis elevados de &#237;ndice de dispers&#227;o eritrocit&#225;ria &#40;RDW&#41; t&#234;m sido recentemente associados a um pior progn&#243;stico em doentes com doen&#231;a cardiovascular&#46; A sua rela&#231;&#227;o com o risco de eventos hemorr&#225;gicos em doentes com s&#237;ndrome coron&#225;ria aguda sem supradesnivelamento do segmento ST n&#227;o est&#225;&#44; no entanto&#44; estabelecida&#46;</p> <span class="elsevierStyleSectionTitle">Objetivo</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">Determinar o valor progn&#243;stico do RDW em doentes com s&#237;ndrome coron&#225;ria aguda sem supradesnivelamento do segmento ST em particular sobre o risco de hemorragia <span class="elsevierStyleItalic">major</span>&#46;</p> <span class="elsevierStyleSectionTitle">M&#233;todos</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Foram estudados 513 doentes consecutivos internados com o diagn&#243;stico de s&#237;ndrome coron&#225;ria aguda sem supradesnivelamento do segmento ST&#46; A popula&#231;&#227;o foi agrupada segundo os tercis da distribui&#231;&#227;o do RDW e caracterizada de acordo com as caracter&#237;sticas cl&#237;nicas&#44; laboratoriais e eventos adversos&#46; O evento prim&#225;rio foi definido como a presen&#231;a de hemorragia <span class="elsevierStyleItalic">major</span> durante o internamento &#40;definida pela classifica&#231;&#227;o do registo Crusade&#41;&#46; Determinou-se o valor preditor do RDW sobre o risco de hemorragia <span class="elsevierStyleItalic">major</span>&#46;</p> <span class="elsevierStyleSectionTitle">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">O RDW m&#233;dio foi de 15&#44;13 &#177; 1&#44;62&#37;&#46; Os doentes inclu&#237;dos no terceiro tercil apresentaram uma idade mais avan&#231;ada e mais frequentemente disfun&#231;&#227;o renal ou antecedentes de revasculariza&#231;&#227;o coron&#225;ria&#46; Valores crescentes de RDW associaram-se a um aumento do risco de hemorragia <span class="elsevierStyleItalic">major</span> e de mortalidade hospitalar&#46; Um valor de RDW &#62; 15&#44;7&#37; foi um preditor independente de eventos hemorr&#225;gicos &#40;<span class="elsevierStyleItalic">odds ratio</span> ajustado 3&#44;1&#44; IC 95&#37; 1&#44;4-6&#44;9&#41;&#46;</p> <span class="elsevierStyleSectionTitle">Conclus&#245;es</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Numa popula&#231;&#227;o de doentes com s&#237;ndrome coron&#225;ria aguda sem supradesnivelamento do segmento ST&#44; o RDW esteve associado a uma maior mortalidade intra-hospitalar&#44; tendo constitu&#237;do um fator de risco independente para hemorragia <span class="elsevierStyleItalic">major</span> intra-hospitalar&#46;</p>"
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        "nota" => "<p class="elsevierStyleNotepara">Please cite this article as&#58; Gon&#231;alves S&#44; et al&#46; Implica&#231;&#245;es do &#237;ndice de dispers&#227;o eritrocit&#225;ria no risco de eventos hemorr&#225;gicos em doentes com s&#237;ndrome coron&#225;ria aguda sem supra-desnivelamento do segmento ST&#46; Rev Port Cardiol&#46; 2012&#46; <span class="elsevierStyleInterRef" href="doi:10.1016/j.repc.2012.05.018">doi&#58;10&#46;1016&#47;j&#46;repc&#46;2012&#46;05&#46;018</span>&#46;</p>"
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        "descripcion" => array:1 [
          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Adverse event rate according to tertile of red blood cell distribution width&#46;</p>"
        ]
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        "etiqueta" => "Table 1"
        "tipo" => "MULTIMEDIATABLA"
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        "tabla" => array:2 [
          "leyenda" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">ACEIs&#58; angiotensin-converting enzyme inhibitors&#59; BMI&#58; body mass index&#59; CABG&#58; coronary artery bypass grafting&#59; DBP&#58; diastolic blood pressure&#59; Gp&#58; glycoprotein&#59; Hb&#58; hemoglobin&#59; HR&#58; heart rate&#59; INR&#58; international normalized ratio&#59; LVEF&#58; left ventricular ejection fraction&#59; SBP&#58; systolic blood pressure&#46;</p>"
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                  \t\t\t\t  " align="" valign="\n
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                  \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" style="border-bottom: 2px solid black">1 st tertileRDW &#60;14&#46;4&#37;n&#61;161&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">2nd tertileRDW 14&#46;4-&#60;15&#46;4&#37;n&#61;178&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t" style="border-bottom: 2px solid black">3rd tertileRDW &#8805;15&#46;4&#37;n&#61;174&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">Demographic characteristics and comorbidities</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Age &#40;years&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">67&#177;11&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">67&#177;12&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">69&#177;12&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">0&#46;048&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Male &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">68&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">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">66&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">BMI &#40;kg&#47;m</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">2</span></span><span class="elsevierStyleItalic">&#41;</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">27&#177;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">27&#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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">28&#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
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NS&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><span class="elsevierStyleItalic">Weight &#40;kg&#41;</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">73&#177;13&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">65&#177;13&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&#177;12&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Diabetes &#40;&#37;&#41;</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">35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">32&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Hypertension &#40;&#37;&#41;</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">73&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NS&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><span class="elsevierStyleItalic">Dyslipidemia &#40;&#37;&#41;</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">51&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">66&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">55&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Cerebrovascular disease &#40;&#37;&#41;</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">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">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">8&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Peripheral arterial disease &#40;&#37;&#41;</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">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">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">10&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Previous myocardial infarction &#40;&#37;&#41;</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">18&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Previous angioplasty &#40;&#37;&#41;</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">15&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">0&#46;047&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><span class="elsevierStyleItalic">Previous CABG &#40;&#37;&#41;</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">7&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">0&#46;028&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Outpatient medication</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><span class="elsevierStyleItalic">Aspirin &#40;&#37;&#41;</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">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">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">40&nbsp;\t\t\t\t\t\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">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><span class="elsevierStyleItalic">ACEIs &#40;&#37;&#41;</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">35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NS&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><span class="elsevierStyleItalic">Beta-blockers &#40;&#37;&#41;</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">19&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">26&nbsp;\t\t\t\t\t\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">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><span class="elsevierStyleItalic">Statins &#40;&#37;&#41;</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">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NS&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " colspan="5" align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Clinical characteristics</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><span class="elsevierStyleItalic">Admission SBP &#40;mmHg&#41;</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">146&#177;32&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">145&#177;29&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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;31&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Admission DBP &#40;mmHg&#41;</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">80&#177;18&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">79&#177;18&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">82&#177;17&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Admission HR &#40;bpm&#41;</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">80&#177;22&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&#177;18&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">85&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;01&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><span class="elsevierStyleItalic">Pain at admission &#40;&#37;&#41;</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">36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Killip class &#62;I at admission &#40;&#37;&#41;</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">10&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Positive cardiac biomarkers &#40;&#37;&#41;</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">76&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">79&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Negative T waves &#40;&#37;&#41;</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">33&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">35&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">ST-segment depression &#40;&#37;&#41;</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">33&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">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
                  \t\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><span class="elsevierStyleItalic">LVEF &#40;&#37;&#41;</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">59&#177;15&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">59&#177;15&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">55&#177;16&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Coronary angiography &#40;&#37;&#41;</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">85&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">90&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">78&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" 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><span class="elsevierStyleItalic">Single-vessel disease</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">36&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Multivessel disease</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">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">52&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">59&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Crusade bleeding score</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">32&#177;15&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">33&#177;15&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&#177;16&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">&#60;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><span class="elsevierStyleItalic">Low risk</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">48&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">NS&nbsp;\t\t\t\t\t\t\n
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                  """
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                  \t\t\t\t" style="border-bottom: 2px solid black">Bleeding&#40;n&#61;36&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
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                  \t\t\t\t">75&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t">NS&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\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Dyslipidemia &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Cerebrovascular disease &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="\n
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                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NS&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"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Peripheral arterial disease &#40;&#37;&#41;</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">3&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t">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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NS&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\ttop\n
                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Previous myocardial infarction &#40;&#37;&#41;</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\ttop\n
                  \t\t\t\t">22&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">21&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">NS&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><span class="elsevierStyleItalic">Previous angioplasty &#40;&#37;&#41;</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">19&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Previous CABG &#40;&#37;&#41;</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">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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Previous aspirin &#40;&#37;&#41;</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">19&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">32&nbsp;\t\t\t\t\t\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">NS&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">Clinical characteristics</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><span class="elsevierStyleItalic">Admission SBP &#40;mmHg&#41;</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">157&#177;31&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">145&#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="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">0&#46;03&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><span class="elsevierStyleItalic">Admission DBP &#40;mmHg&#41;</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">84&#177;17&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">80&#177;18&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Admission heart rate &#40;bpm&#41;</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">86&#177;22&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">80&#177;22&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Pain at admission &#40;&#37;&#41;</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">44&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">&#62;1 pain episode &#40;&#37;&#41;</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">64&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">42&nbsp;\t\t\t\t\t\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">0&#46;008&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><span class="elsevierStyleItalic">Killip class &#62;I at admission &#40;&#37;&#41;</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">19&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Positive cardiac biomarkers &#40;&#37;&#41;</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">94&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">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><span class="elsevierStyleItalic">Negative T waves &#40;&#37;&#41;</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">22&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\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&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">ST-segment depression &#40;&#37;&#41;</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">50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">40&nbsp;\t\t\t\t\t\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">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
                  \t\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><span class="elsevierStyleItalic">LVEF &#40;&#37;&#41;</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">85&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">72&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Coronary angiography &#40;&#37;&#41;</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">89&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">83&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Single-vessel disease</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">25&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">33&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Multivessel disease</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">69&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">52&nbsp;\t\t\t\t\t\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">NS&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><span class="elsevierStyleItalic">Crusade bleeding score</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">39&#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="char" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">34&#177;16&nbsp;\t\t\t\t\t\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">NS&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">High risk &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleVsp" style="height:0.5px"></span></td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t">Laboratory parameters</td></tr><tr title="table-row"><td class="td" title="\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Platelet count &#40;10</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">9</span></span><span class="elsevierStyleItalic">&#47;l&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">Creatinine clearance &#40;mg&#47;dl&#41;</span>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t"><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleItalic">CABG &#40;&#37;&#41;</span>&nbsp;\t\t\t\t\t\t\n
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        0 => array:2 [
          "identificador" => "bibs0005"
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                  "contribucion" => array:1 [
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                      "titulo" => "Red cell distribution width as a novel prognostic marker in heart failure&#58; data from the CHARM Program and the Duke Databank for Cardiovascular Diseases"
                      "autores" => array:1 [
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                          "etal" => true
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                            0 => "G&#46;M&#46; Felker"
                            1 => "L&#46;A&#46; Allen"
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                      "titulo" => "Relation between red blood cell distribution width and cardiovascular event rate in people with coronary disease"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
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                            0 => "M&#46; Tonelli"
                            1 => "F&#46; Sacks"
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                    0 => array:2 [
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                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Associa&#231;&#227;o entre o &#237;ndice de anisocitose &#40;RDW&#41; e a ocorr&#234;ncia de morte ou enfarte aos seis meses em doentes com s&#237;ndrome coron&#225;ria aguda"
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                          "etal" => true
                          "autores" => array:3 [
                            0 => "S&#46; Nabais"
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                      "doi" => "10.1097/MCA.0b013e328342c77b"
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                    0 => array:2 [
                      "doi" => "10.1016/j.ijcard.2011.08.052"
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Journal Information
Vol. 32. Issue 1.
Pages 27-33 (January 2013)
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12208
Vol. 32. Issue 1.
Pages 27-33 (January 2013)
Original article
Open Access
Impact of red blood cell distribution width on risk for bleeding events in patients with non-ST elevation acute coronary syndromes
Implicações do índice de dispersão eritrocitária no risco de eventos hemorrágicos em doentes com síndrome coronária aguda sem supradesnivelamento do segmento ST
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12208
Sara Gonçalves
Corresponding author
sara.soares.goncalves@gmail.com

Corresponding author.
, José Ferreira Santos, Pedro Amador, Leandro Rassi, Ana Rita Rodrigues, Filipe Seixo, Luís Neves Soares
Serviço de Cardiologia, Centro Hospitalar de Setúbal EPE, Setúbal, Portugal
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Tables (3)
Table 1. Demographic, clinical and laboratory characteristics according to tertile of red blood cell distribution width.
Table 2. Demographic, clinical and laboratory characteristics according to occurrence of bleeding.
Table 3. Independent predictors of major bleeding.
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Abstract
Introduction

Higher values of red blood cell distribution width (RDW) have recently been associated with worse outcome in patients with cardiovascular disease. However, its relation to bleeding events in patients with non-ST elevation acute coronary syndromes has not been established.

Aim

To determine the prognostic value of RDW in patients with non-ST segment elevation acute coronary syndromes, particularly regarding the risk of major bleeding.

Methods

We analyzed 513 consecutive patients admitted with non-ST elevation acute coronary syndromes. The population was divided into tertiles of baseline RDW and clinical, laboratory characteristics and adverse events were analyzed for each group. The primary outcome was defined as the occurrence of major bleeding (according to the Crusade bleeding score). The predictive value of RDW for risk of major bleeding was determined.

Results

The mean RDW was 15.13%±1.62%. Patients in the third tertile were older and more frequently had renal dysfunction or previous coronary revascularization. Higher values of RDW were associated with greater risk of major bleeding and in-hospital death. RDW >15.7% was an independent predictor of bleeding events (odds ratio 3.1, 95% CI 1.4-6.9).

Conclusions

In a population of patients with non-ST elevation acute coronary syndromes, RDW was associated with higher in-hospital mortality and was an independent predictor of in-hospital major bleeding.

Keywords:
Non-ST elevation acute coronary syndrome
Bleeding
Red blood cell distribution
Prognosis
Abbreviations:
ACEIs
BMI
CABG
DBP
Gp
Hb
HR
INR
NSTE-ACS
NSTEMI
RCC
RDW
SBP
Resumo
Introdução

Níveis elevados de índice de dispersão eritrocitária (RDW) têm sido recentemente associados a um pior prognóstico em doentes com doença cardiovascular. A sua relação com o risco de eventos hemorrágicos em doentes com síndrome coronária aguda sem supradesnivelamento do segmento ST não está, no entanto, estabelecida.

Objetivo

Determinar o valor prognóstico do RDW em doentes com síndrome coronária aguda sem supradesnivelamento do segmento ST em particular sobre o risco de hemorragia major.

Métodos

Foram estudados 513 doentes consecutivos internados com o diagnóstico de síndrome coronária aguda sem supradesnivelamento do segmento ST. A população foi agrupada segundo os tercis da distribuição do RDW e caracterizada de acordo com as características clínicas, laboratoriais e eventos adversos. O evento primário foi definido como a presença de hemorragia major durante o internamento (definida pela classificação do registo Crusade). Determinou-se o valor preditor do RDW sobre o risco de hemorragia major.

Resultados

O RDW médio foi de 15,13 ± 1,62%. Os doentes incluídos no terceiro tercil apresentaram uma idade mais avançada e mais frequentemente disfunção renal ou antecedentes de revascularização coronária. Valores crescentes de RDW associaram-se a um aumento do risco de hemorragia major e de mortalidade hospitalar. Um valor de RDW > 15,7% foi um preditor independente de eventos hemorrágicos (odds ratio ajustado 3,1, IC 95% 1,4-6,9).

Conclusões

Numa população de doentes com síndrome coronária aguda sem supradesnivelamento do segmento ST, o RDW esteve associado a uma maior mortalidade intra-hospitalar, tendo constituído um fator de risco independente para hemorragia major intra-hospitalar.

Palavras-chave:
Síndrome Coronária aguda sem supradesnivelamento do segmento ST
Hemorragia
Índice de dispersão eritrocitária
Prognóstico
Full Text
Introduction

Red blood cell distribution width (RDW) is a routine laboratory parameter that shows variation in red blood cell size on a standard hemogram and is often used in assessing blood diseases. Higher RDW has been associated with worse outcome in the elderly, in patients with heart failure or ischemic heart disease and in those undergoing percutaneous coronary revascularization, irrespective of baseline hematocrit.1–9 An association with a higher adverse event rate in patients with acute coronary syndrome (ACS) has also been reported in the literature.3,10

The aim of this study was to assess the relationship between RDW values and risk for bleeding events in patients with non-ST elevation ACS (NSTE-ACS).

MethodsStudy population

We analyzed 513 consecutive patients admitted to a coronary care unit with a diagnosis of NSTE-ACS between January 2007 and December 2008. NSTE-ACS includes non-ST elevation myocardial infarction (NSTEMI), defined as chest pain associated with elevated biomarkers of myocardial necrosis with or without alterations in ventricular repolarization suggestive of ischemia, and unstable angina, which is characterized by precordial pain with no rise in necrosis markers. Patients who did not undergo blood tests on admission were excluded.

Patient characteristics

Demographic characteristics, body mass index, diastolic and systolic blood pressure (SBP), and heart rate (HR) at admission were determined for each patient. Cardiovascular risk factors (dyslipidemia, hypertension and diabetes) and history of coronary artery disease (previous myocardial infarction and percutaneous or surgical revascularization), cerebrovascular or peripheral arterial disease were also determined, as well as medication (aspirin, angiotensin-converting enzyme inhibitors, beta-blockers or statins) taken as outpatients or begun during hospitalization. The patients were stratified according to the Crusade bleeding score.

Laboratory characteristics

RDW values were obtained from baseline laboratory tests performed in a central laboratory using a Cell-Dyn 3700 analyzer. Reference values were between 11.6% and 14%. In addition, admission values for hemoglobin (Hb), serum creatinine and creatinine clearance (estimated by the Cockcroft-Gault formula), platelet count, prothrombin time, activated partial thromboplastin time and international normalized ratio were recorded.

Outcome

The primary outcome was defined as the occurrence of major bleeding during hospitalization according to the Crusade scoring system: >12% fall in baseline hematocrit; intracranial bleeding; documented retroperitoneal bleeding; need for red cell concentrate (RCC) transfusion with baseline hematocrit >28%; need for RCC transfusion with baseline hematocrit <28% and documented bleeding.

Secondary outcomes were in-hospital death and combined in-hospital death and major bleeding.

Statistical analysis

The population was divided into tertiles according to RDW values. The three groups were compared in terms of demographic, clinical and laboratory characteristics and adverse event rate. Continuous variables were expressed as means ± standard deviation and compared using the one-way ANOVA test and the Student's t test. Categorical variables were expressed as frequencies and percentages and compared using the chi-square test. Results with p<0.05 were considered statistically significant. A logistic regression model was used to assess the correlation between RDW values and bleeding events and to determine predictors of major bleeding, which included the variables that presented statistically significant differences on univariate analysis, and Hb. RDW was included as a categorical variable. The statistical program used was SPSS version 16.0 (SPSS Inc., Chicago, IL, USA).

Results

Mean RDW was 15.1%±1.6% (median 14.9%). Of the 76.6% of patients presenting with NSTEMI, 83% underwent coronary angiography, all via femoral access. Patients with higher RDW values were older and were more often previously medicated with aspirin and beta-blockers, and more had a history of coronary revascularization. Those in the third tertile more frequently had ST-segment depression, higher HR and lower Hb at admission. There were no significant differences between the three groups in antithrombotic therapy begun during hospitalization, or in the number of patients undergoing angioplasty. Those in the third tertile had higher Crusade bleeding scores. The other variables assessed are compared in Table 1.

Table 1.

Demographic, clinical and laboratory characteristics according to tertile of red blood cell distribution width.

  1 st tertileRDW <14.4%n=161  2nd tertileRDW 14.4-<15.4%n=178  3rd tertileRDW ≥15.4%n=174 
Demographic characteristics and comorbidities
Age (years)  67±11  67±12  69±12  0.048 
Male (%)  68  70  66  NS 
BMI (kg/m2)  27±5  27±4  28±4  NS 
Weight (kg)  73±13  65±13  75±12  NS 
Diabetes (%)  35  32  40  NS 
Hypertension (%)  73  78  74  NS 
Dyslipidemia (%)  51  66  55  NS 
Cerebrovascular disease (%)  NS 
Peripheral arterial disease (%)  10  NS 
Previous myocardial infarction (%)  18  17  27  NS 
Previous angioplasty (%)  15  15  24  0.047 
Previous CABG (%)  10  0.028 
Outpatient medication
Aspirin (%)  30  24  40  0.007 
ACEIs (%)  35  31  34  NS 
Beta-blockers (%)  19  14  26  0.014 
Statins (%)  25  26  34  NS 
Clinical characteristics
Admission SBP (mmHg)  146±32  145±29  148±31  NS 
Admission DBP (mmHg)  80±18  79±18  82±17  NS 
Admission HR (bpm)  80±22  78±18  85±24  0.01 
Pain at admission (%)  36  42  45  NS 
Killip class >I at admission (%)  10  11  17  NS 
Positive cardiac biomarkers (%)  76  75  79  NS 
Negative T waves (%)  33  35  16  NS 
ST-segment depression (%)  33  39  49  0.011 
LVEF (%)  59±15  59±15  55±16  NS 
Coronary angiography (%)  85  90  78  0.007 
Single-vessel disease  36  31  30  NS 
Multivessel disease  49  52  59  NS 
Crusade bleeding score  32±15  33±15  39±16  <0.001 
Low risk  48  46  34  0.014 
Intermediate risk  24  20  22  NS 
High risk  28  34  45  0.005 
Laboratory parameters
Platelet count (109/l)  231±59  231±63  243±84  NS 
Hb (g/dl)  14±2  14±2  13±2  <0.001 
Urea  46.8±24.9  47.2±21.6  55.2±33.6  0.006 
Creatinine  1.2±0.4  1.3±0.4  1.5±1.0  <0.001 
Creatinine clearance (mg/dl)  67±26  63±28  56±25  0.001 
INR  1.1±0.3  1.2±0.5  1.2±0.5  NS 
In-hospital treatment
Aspirin (%)  96  98  98  NS 
Clopidogrel (%)  90  91  84  NS 
ACEIs (%)  75  75  71  NS 
Beta-blockers (%)  78  84  88  NS 
Unfractionated heparin (%)  33  32  23  NS 
Low molecular weight heparin (%)  91  89  93  NS 
Gp IIb/IIIa inhibitors (%)  20  21  21  NS 
Angioplasty (%)  48  52  44  NS 
CABG (%)  18  13  17  NS 

ACEIs: angiotensin-converting enzyme inhibitors; BMI: body mass index; CABG: coronary artery bypass grafting; DBP: diastolic blood pressure; Gp: glycoprotein; Hb: hemoglobin; HR: heart rate; INR: international normalized ratio; LVEF: left ventricular ejection fraction; SBP: systolic blood pressure.

The rate of major bleeding was 7% (36 events). Of these patients, 32 (89%) had undergone coronary angiography. In 44% of cases (n=16), the bleeding was associated with the arterial puncture site (14 groin hematomas and two cases of retroperitoneal bleeding). The site of bleeding was not identified in 33% of patients (n=12). There was also one case of alveolar hemorrhage, one of subarachnoid hemorrhage, two cases of genitourinary bleeding, three of gastrointestinal bleeding and one associated with recent orthopedic surgery. On univariate analysis (Table 2), bleeding was associated with older age, higher SBP and renal dysfunction. These patients were more often medicated with glycoprotein (Gp) IIb/IIIa inhibitors and more had undergone coronary angioplasty.

Table 2.

Demographic, clinical and laboratory characteristics according to occurrence of bleeding.

  Bleeding(n=36)  No bleeding(n=477) 
Baseline characteristics
Age (years)  71±10  67±12  0.05 
Male (%)  61  68  NS 
BMI (kg/m2)  28±6  27±4  NS 
Weight (kg)  73±16  74±13  NS 
Diabetes (%)  39  35  NS 
Hypertension (%)  81  75  NS 
Dyslipidemia (%)  58  58  NS 
Cerebrovascular disease (%)  NS 
Peripheral arterial disease (%)  NS 
Previous myocardial infarction (%)  22  21  NS 
Previous angioplasty (%)  19  18  NS 
Previous CABG (%)  14  NS 
Previous aspirin (%)  19  32  NS 
Clinical characteristics
Admission SBP (mmHg)  157±31  145±30  0.03 
Admission DBP (mmHg)  84±17  80±18  NS 
Admission heart rate (bpm)  86±22  80±22  NS 
Pain at admission (%)  44  42  NS 
>1 pain episode (%)  64  42  0.008 
Killip class >I at admission (%)  19  12  NS 
Positive cardiac biomarkers (%)  94  75  0.007 
Negative T waves (%)  22  18  NS 
ST-segment depression (%)  50  40  0.011 
LVEF (%)  85  72  NS 
Coronary angiography (%)  89  83  NS 
Single-vessel disease  25  33  NS 
Multivessel disease  69  52  NS 
Crusade bleeding score  39±14  34±16  NS 
Low risk (%)  22  44  0.013 
Intermediate risk (%)  39  21  0.02 
High risk (%)  39  35  NS 
Laboratory parameters
RDW (%)  16±3  15±1  <0.001 
Platelet count (109/l)  268±98  233±66  0.003 
Hb (g/dl)  14±3  14±2  NS 
Creatinine (mg/dl)  1.7 ±1.6  1.3±0.6  0.001 
Urea (mg/dl)  62±37  49±26  0.006 
Creatinine clearance (mg/dl)  52±25  63±27  0.021 
INR  1.2±0.5  1.2±0.5  NS 
In-hospital treatment
Aspirin (%)  100  97  NS 
Clopidogrel (%)  86  89  NS 
Unfractionated heparin (%)  28  30  NS 
Low molecular weight heparin (%)  91  90  NS 
Gp IIb/IIIa inhibitors (%)  46  19  0.001 
Angioplasty (%)  69  46  0.009 
CABG (%)  15  NS 

BMI: body mass index; CABG: coronary artery bypass grafting; DBP: diastolic blood pressure; Gp: glycoprotein; Hb: hemoglobin; INR: international normalized ratio; RDW: red blood cell distribution width; SBP: systolic blood pressure.

Higher RDW values were associated with a higher Crusade score and a higher percentage of in-hospital bleeding, death and combined in-hospital death and major bleeding (Figure 1). The c-statistic for the Crusade bleeding score in our population was 0.597.

Figure 1.

Adverse event rate according to tertile of red blood cell distribution width.

(0.12MB).

Independent predictors of bleeding events were use of Gp IIb/IIIa inhibitors, more than one pain episode, SBP >142mmHg, creatinine clearance <43ml/min, and RDW >15.7% (Table 3).

Table 3.

Independent predictors of major bleeding.

  Odds ratio  95% confidence interval 
Gp IIb/IIIa inhibitors  2.74  1.20-6.26  0.0166 
>1 pain episode  2.91  1.28-6.66  0.0110 
Systolic blood pressure >142 mmHg  3.20  1.34-7.66  0.0084 
Creatinine clearance <43 ml/min  3.31  1.42-7.68  0.0054 
RDW >15.7%  3.70  1.68-8.18  0.0012 

Gp: glycoprotein; RDW: red blood cell distribution width.

Discussion

The association between RDW and increased ischemic events in patients with cardiovascular disease is well known, but there have been few studies on its relation to bleeding events. In our study population, RDW was an independent predictor of major bleeding in patients with NSTEMI.

As reported in other studies, patients in the highest tertile of RDW presented characteristics associated with more severe coronary artery disease, particularly older age and a greater frequency of previous myocardial revascularization.2,3 They more frequently presented higher HR, ST-segment depression, anemia and renal dysfunction at admission. However, this patient group was treated more conservatively, less often undergoing coronary angiography. As in other populations with acute coronary syndrome, high RDW values were associated with worse outcome and greater in-hospital mortality in our study.2,3,5–7,10

As in the literature, the Crusade score showed poor discriminatory ability to predict bleeding events in our population.12,13 It is thus important to identify new risk factors that will lead to better stratification of risk for major bleeding in patients with NSTE-ACS.

The presence of renal failure and use of Gp IIb/IIIa inhibitors were also independent predictors of bleeding, as noted in previous studies.11 However, no correlation was found in our population with other conventional risk factors, such as female gender or heart failure. Bleeding was associated with the arterial puncture site in a significant proportion of cases, which highlights the importance of using radial access to reduce adverse events.

Several studies have reported that increased ischemic risk is often associated with a higher bleeding event rate, which makes management of these patients more difficult. As with other factors associated with more severe cardiovascular disease and worse prognosis in patients with NSTE-ACS, RDW is also a predictor of bleeding. The fact that it is an easily available laboratory parameter in routine blood tests that does not entail additional costs may encourage its wider use in the future.

The mechanisms behind its association with worse outcome in patients with cardiovascular disease have yet to be fully clarified but are probably multifactorial. High RDW values may indicate accelerated red blood cell destruction, nutritional deficiency (folic acid or vitamin B12), a proinflammatory state, or renal dysfunction that impairs erythropoiesis and hence red blood cell maturation.1,2,5 Further studies will be required for a better understanding of the relation of RDW to increased adverse events in patients with cardiovascular disease.

Study limitations

The present study has the limitations of all single-center retrospective, non-randomized analyses. Although baseline Hb and other parameters were included in the multivariate analysis, the presence of confounding factors, known or unknown, such as comorbidities and levels of erythropoietin, iron, folic acid and vitamin B12, cannot be excluded. It is also important to assess the prognostic value of RDW in patients with ST-elevation ACS, who were not included in this analysis, as well as its ability to predict events in the long term.

Conclusions

In our population, higher RDW values were associated with greater in-hospital mortality and were an independent predictor of in-hospital major bleeding in patients with NSTE-ACS. The ready availability of this parameter at no additional cost may encourage its wider use in clinical practice in the future.

Ethical disclosuresProtection of human and animal subjects

The authors declare that no experiments were performed on humans or animals for this study.

Confidentiality of data

The authors declare that they have followed the protocols of their work center on the publication of patient data and that all the patients included in the study received sufficient information and gave their written informed consent to participate in the study.

Right to privacy and informed consent

The authors have obtained the written informed consent of the patients or subjects mentioned in the article. The corresponding author is in possession of this document.

Conflicts of interest

The authors have no conflicts of interest to declare.

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Please cite this article as: Gonçalves S, et al. Implicações do índice de dispersão eritrocitária no risco de eventos hemorrágicos em doentes com síndrome coronária aguda sem supra-desnivelamento do segmento ST. Rev Port Cardiol. 2012. doi:10.1016/j.repc.2012.05.018.

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