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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Arq Bras Cardiol</journal-id>
      <journal-id journal-id-type="publisher-id">abc</journal-id>
      <journal-title-group>
        <journal-title>Arquivos Brasileiros de Cardiologia</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Arq. Bras. Cardiol.</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0066-782X</issn>
      <issn pub-type="epub">1678-4170</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia - SBC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v3">89MLPTCVyBGnh7CBvMbv6gN</article-id>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v2">S0066-782X2016000300218</article-id>
      <article-id pub-id-type="publisher-id" specific-use="previous-pid">S0066-782X2016005005103</article-id>
      <article-id pub-id-type="doi">10.5935/abc.20160021</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Very Long-Term Prognostic Role of Admission BNP in Non-ST Segment Elevation Acute Coronary Syndrome</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Bassan</surname>
            <given-names>Fernando</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bassan</surname>
            <given-names>Roberto</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Esporcatte</surname>
            <given-names>Roberto</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Santos</surname>
            <given-names>Braulio</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Tura</surname>
            <given-names>Bernardo</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution content-type="orgname">Universidade do Estado do Rio de Janeiro</institution>
        <addr-line>
          <named-content content-type="city">Rio de Janeiro</named-content>
          <named-content content-type="state">RJ</named-content>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ - Brazil</institution>
        <institution content-type="normalized">Universidade do Estado do Rio de Janeiro</institution>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution content-type="orgname">Instituto Nacional de Cardiologia</institution>
        <institution content-type="orgdiv1">Departamento de Coronariopatia</institution>
        <addr-line>
          <named-content content-type="city">Rio de Janeiro</named-content>
          <named-content content-type="state">RJ</named-content>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Departamento de Coronariopatia - Instituto Nacional de Cardiologia, Rio de Janeiro, RJ - Brazil</institution>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution content-type="orgname">Pont&#237;ficia Universidade Cat&#243;lica do Rio de Janeiro</institution>
        <addr-line>
          <named-content content-type="city">Rio de Janeiro</named-content>
          <named-content content-type="state">RJ</named-content>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Pont&#237;ficia Universidade Cat&#243;lica do Rio de Janeiro, Rio de Janeiro, RJ - Brazil</institution>
        <institution content-type="normalized">Pontif&#237;cia Universidade Cat&#243;lica do Rio de Janeiro</institution>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution content-type="orgname">Hospital Pr&#243;-Card&#237;aco</institution>
        <addr-line>
          <named-content content-type="city">Rio de Janeiro</named-content>
          <named-content content-type="state">RJ</named-content>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Hospital Pr&#243;-Card&#237;aco, Rio de Janeiro, RJ - Brazil</institution>
        <institution content-type="normalized">Hospital Pr&#243;-Card&#237;aco</institution>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution content-type="orgname">Instituto Nacional de Cardiologia</institution>
        <institution content-type="orgdiv1">Departamento de Pesquisa Cl&#237;nica</institution>
        <addr-line>
          <named-content content-type="city">Rio de Janeiro</named-content>
          <named-content content-type="state">RJ</named-content>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Departamento de Pesquisa Cl&#237;nica - Instituto Nacional de Cardiologia, Rio de Janeiro, RJ - Brazil</institution>
      </aff>
      <author-notes>
        <corresp id="c1"><bold>Mailing Address: Fernando Bassan,</bold> Instituto Nacional de Cardiologia - Rua das Laranjeiras, 374. Postal Code 22240-006, Rio de Janeiro, RJ - Brazil. E-mail: <email>fbassan@globo.com</email>
				</corresp>
        <fn fn-type="con">
          <p>
            <bold>Author contributions</bold>
          </p>
          <p>Conception and design of the research, Writing of the manuscript and Critical revision of the manuscript for intellectual content: Bassan F, Bassan R, Esporcatte R; Acquisition of data: Bassan F, Bassan R; Analysis and interpretation of the data and Statistical analysis: Bassan F, Bassan R, Esporcatte R, Santos B, Tura B.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potential Conflict of Interest</bold>
          </p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
        <fn fn-type="other">
          <p>
            <bold>Study Association</bold>
          </p>
          <p>This article is part of the thesis of master submitted by Fernando Bassan, from Universidade do Estado do Rio de Janeiro.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>02</day>
        <month>02</month>
        <year>2016</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>3</month>
        <year>2016</year>
      </pub-date>
      <volume>106</volume>
      <issue>3</issue>
      <fpage>218</fpage>
      <lpage>225</lpage>
      <history>
        <date date-type="received">
          <day>08</day>
          <month>06</month>
          <year>2015</year>
        </date>
        <date date-type="rev-recd">
          <day>13</day>
          <month>10</month>
          <year>2015</year>
        </date>
        <date date-type="accepted">
          <day>14</day>
          <month>10</month>
          <year>2015</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0">
          <license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background:</title>
          <p>BNP has been extensively evaluated to determine short- and intermediate-term prognosis in patients with acute coronary syndrome, but its role in long-term mortality is not known.</p>
        </sec>
        <sec>
          <title>Objective:</title>
          <p>To determine the very long-term prognostic role of B-type natriuretic peptide (BNP) for all-cause mortality in patients with non-ST segment elevation acute coronary syndrome (NSTEACS).</p>
        </sec>
        <sec>
          <title>Methods: </title>
          <p>A cohort of 224 consecutive patients with NSTEACS, prospectively seen in the Emergency Department, had BNP measured on arrival to establish prognosis, and underwent a median 9.34-year follow-up for all-cause mortality.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>Unstable angina was diagnosed in 52.2%, and non-ST segment elevation myocardial infarction, in 47.8%. Median admission BNP was 81.9 pg/mL (IQ range = 22.2; 225) and mortality rate was correlated with increasing BNP quartiles: 14.3; 16.1; 48.2; and 73.2% (p &lt; 0.0001). ROC curve disclosed 100 pg/mL as the best BNP cut-off value for mortality prediction (area under the curve = 0.789, 95% CI= 0.723-0.854), being a strong predictor of late mortality: BNP &lt; 100 = 17.3% vs. BNP &#8805; 100 = 65.0%, RR = 3.76 (95% CI = 2.49-5.63, p &lt; 0.001). On logistic regression analysis, age &gt;72 years (OR = 3.79, 95% CI = 1.62-8.86, p = 0.002), BNP &#8805; 100 pg/mL (OR = 6.24, 95% CI = 2.95-13.23, p &lt; 0.001) and estimated glomerular filtration rate (OR = 0.98, 95% CI = 0.97-0.99, p = 0.049) were independent late-mortality predictors.</p>
        </sec>
        <sec>
          <title>Conclusions:</title>
          <p>BNP measured at hospital admission in patients with NSTEACS is a strong, independent predictor of very long-term all-cause mortality. This study allows raising the hypothesis that BNP should be measured in all patients with NSTEACS at the index event for long-term risk stratification.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Natriuretic Peptide, B-Type / mortality</kwd>
        <kwd>Prognosis</kwd>
        <kwd>Acute Coronary Syndrome</kwd>
        <kwd>Myocardial Ischemia</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introduction</title>
      <p>In spite of the large knowledge gathered in the last few decades in identifying clinical and laboratory variables to determine short- and intermediate-term prognosis in patients with acute coronary syndrome (ACS),<xref ref-type="bibr" rid="B1">1</xref><sup>-</sup><xref ref-type="bibr" rid="B5">5</xref> their long-term prediction capability remains mostly unknown. B-type natriuretic peptides (BNP) are one of these markers and have been extensively evaluated for this purpose with very good performance,<xref ref-type="bibr" rid="B6">6</xref><sup>-</sup><xref ref-type="bibr" rid="B10">10</xref> but no study has dealt with their value in correctly identifying those individuals at high risk of death in the very long-term.</p>
      <p>We had the opportunity to prospectively, systematically collect clinical and laboratory data in a cohort of patients examined in the Chest Pain Unit of an Emergency Department, to whom a comprehensive diagnostic and risk-stratification protocol was used.<xref ref-type="bibr" rid="B11">11</xref> Several clinical and laboratory markers were evaluated upon admission to establish the diagnosis of ACS. Patients were then treated accordingly and followed up to determine their long-term natural history. The aim of this study was to determine the prognostic role of the admission BNP level in the 10-year all-cause mortality of those individuals who had a final diagnosis of non-ST segment elevation ACS (NSTEACS).</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Study population and data collection</title>
        <p>We prospectively studied 723 consecutive patients seen in the Emergency Department of the Pr&#243;-Card&#237;aco Hospital, a private, tertiary, cardiology-oriented institution in Rio de Janeiro, Brazil, between January 1<sup>st</sup>, 2002, and December 31<sup>st</sup>, 2003. They complained of chest pain or discomfort in the preceding 12 hours due to possible acute cardiac ischemia, and their admission electrocardiogram (ECG) showed no ST-segment elevation. These patients were routinely managed in the Chest Pain Unit with a systematic diagnostic protocol recommending the following: 1) cardiac markers: admission and serial (every 3 hours) creatine kinase-MB mass (CKMB) and/or troponin-I levels; 2) admission and serial ECG; 3) echocardiogram (in many patients); 4) if neither myocardial necrosis nor rest ischemia were detected, a stress test (either treadmill ECG or single-photon emission computed tomographic myocardial scintigraphy). Coronary angiography and revascularization procedure were performed at the discretion of the attending physician. TIMI risk score was calculated in all patients fulfilling the diagnosis of ACS. Based on the above work-up, 237 patients received a final diagnosis of NSTEACS, constituting the initial study population. Of these, 13 individuals were lost sometime during the 10-year follow-up. The remaining 224 patients represent the final study sample.</p>
        <p>Patients with suspected (intermediate to high pretest probability) or straightforward admitting diagnosis of life-threatening disorders other than ACS, such as aortic dissection and pulmonary embolism, were also immediately submitted to appropriate imaging tests and, if confirmed, diverted from the above mentioned diagnostic pathway. These patients were excluded from this study.</p>
        <p>For this prospective study, plasma BNP was incorporated into the diagnostic protocol and obtained on admission with the purpose of correlating BNP with the final discharge diagnosis and follow-up prognosis. BNP results were available to treating physicians. This study complies with the Declaration of Helsinki and its protocol was approved by the hospital ethics committee. All patients provided written informed consent.</p>
      </sec>
      <sec>
        <title>Biochemical analysis</title>
        <p>Plasma BNP was immediately analyzed on the same EDTA-anticoagulated blood sample collected on admission for troponin-I, using the quantitative immunofluorescence assay (Biosite, California, USA). The analytic sensitivity of the assay is less than 5 pg/mL and the upper normal limit is considered to be 100 pg/mL. Plasma troponin-I was measured by immunofluorescence assay (Dade-Behring, Marburg, Germany). The analytic sensitivity of the assay is 0.1 ng/mL and any value above this was considered diagnostic of non-ST-segment elevation myocardial infarction (NSTEMI) in this study.<xref ref-type="bibr" rid="B12">12</xref><sup>,</sup><xref ref-type="bibr" rid="B13">13</xref> The coefficient of variation of the 99th percentile of the diagnostic value of the assay (0.1 ng/mL) is 10%.</p>
      </sec>
      <sec>
        <title>Clinical data and diagnosis on hospital discharge</title>
        <p>All demographic and clinical data were prospectively obtained on hospital admission and during Emergency Department and hospital stay until final diagnosis was reached. NSTEMI was diagnosed when a troponin-I level above 0.1 ng/mL in any sample was found during the first 9 post-admission hours with a rise and/or fall pattern afterwards, with or without ST-T changes on ECG, in the absence of any other demonstrable cause for the chest pain. Unstable angina was diagnosed when, in the absence of the above troponin-I pattern, suggestive chest pain was associated with either transient ST-segment depression (&#8805; 0.1 mV) or T-wave inversion on ECG, pre-discharge ischemic stress test or significant coronary artery disease on angiography. Absence of ACS was diagnosed when complete diagnostic protocol was performed in the Chest Pain Unit and demonstrated neither myocardial necrosis nor ischemia. Patients who showed increased troponin-I levels after undergoing percutaneous coronary angioplasty were not considered to have myocardial infarction. TIMI risk score was calculated upon hospital admission and classified as low (0-2 points), intermediate (3-4 points) and high risk (5-7 points).</p>
      </sec>
      <sec>
        <title>Clinical endpoints</title>
        <p>After hospital discharge, the patients' clinical status was prospectively determined by programmed telephone calls at 1 month, 1 year and 10 years. When any clinical event was reported by the patient or close relative, the hospital chart was reviewed or the private physician was contacted to establish the type of event or death. The primary endpoint of the study was all-cause death. At 10 years, 13 patients (5.5%) were lost to follow-up.</p>
      </sec>
      <sec>
        <title>Statistical analysis</title>
        <p>All data analyses were performed using Stata Program 12.1 (StataCorp 2011). Plasma concentrations of BNP are described as median and interquartile (IQ) range. All sample measurements had their 95% confidence interval (CI) calculated according to the maximum likelihood estimation method. For all statistical analyses, a p-value &#8804; 0.05 was considered significant.</p>
        <p>Differences in proportions were assessed by using the chi-square method. The Mann-Whitney test was used to compare BNP levels between two independent groups (with or without 10-year all-cause death).</p>
        <p>The bivariate analysis between BNP level quartiles and clinical variables and mortality was calculated by using the chi-square method for trend or the Fisher exact test.</p>
        <p>Receiver operating characteristic (ROC) curves were generated and the area under the curve (and its 95% CI) was calculated to determine the best discriminating BNP level obtained on admission for predicting all-cause mortality.</p>
        <p>Sensitivity, specificity, positive and negative predictive values, and 95% CI were calculated in the usual manner. Hazard ratio values were corrected when necessary to avoid calculation bias.</p>
        <p>Cumulative 10-year survival was determined by the Kaplan-Meier method. Difference in survival according to BNP level was evaluated with a log-rank test and Cox proportional risk model.</p>
        <p>Main effects logistic regression analyses were used to establish the predictive relationship between continuous or dichotomized BNP levels and mortality adjusted for the effects of clinical and laboratory variables. Initially, all significant variables identified on univariate analysis were included in the models. Variables were selected by use of the forward stepwise method guided by likelihood ratio, and respective c-statistics was calculated. Modeling was performed, refusing entry to variables with p &gt; 0.10.</p>
        <p>The increased discriminative value after addition of BNP to the established prognostic factors for 10-year mortality was estimated by using the integrated discrimination improvement (IDI) technique.<xref ref-type="bibr" rid="B14">14</xref> IDI was calculated by analyzing the differences in patients' individual estimated probability of mortality after addition of BNP to a model containing the aforementioned established prognostic factors and represents the average improvement in predicted probability. Results were assessed by absolute and relative differences in discrimination values between models.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Patients characteristics</title>
        <p>From this cohort of 224 consecutive NSTEACS patients, 107 (47.8%) had a final diagnosis of myocardial infarction and 117 (52.2%), of unstable angina. Demographic and clinical characteristics are depicted in <xref ref-type="table" rid="t1">Table 1</xref>. TIMI risk score could be calculated in 202 of the 224 NSTEACS patients, most of whom were classified either as low or intermediate risk.</p>
        <table-wrap id="t1">
          <label>Table 1</label>
          <caption>
            <title>Baseline clinical and laboratory data of 224 patients with non-ST elevation acute coronary syndrome</title>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <th align="left">
                  <bold>Clinical characteristics</bold>
                </th>
                <th align="center">
                  <bold>n = 224</bold>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Age (years) (IQ range)</td>
                <td align="center">71.5 (60.5; 79)</td>
              </tr>
              <tr>
                <td>Male gender</td>
                <td align="center">141 (62.9%)</td>
              </tr>
              <tr>
                <td>Diabetes mellitus</td>
                <td align="center">53 (23.7%)</td>
              </tr>
              <tr>
                <td>Smoking</td>
                <td align="center">36 (16.1%)</td>
              </tr>
              <tr>
                <td>Previous infarct</td>
                <td align="center">69 (30.8%)</td>
              </tr>
              <tr>
                <td>Previous use of aspirin</td>
                <td align="center">87 (38.8%)</td>
              </tr>
              <tr>
                <td>Normal ECG (admission)</td>
                <td align="center">157 (70.1%)</td>
              </tr>
              <tr>
                <td>ST-segment depression (admission)</td>
                <td align="center">28 (12.5%)</td>
              </tr>
              <tr>
                <td>Left ventricular failure (admission)</td>
                <td align="center">26 (11.7%)</td>
              </tr>
              <tr>
                <td>Low-risk TIMI score (TIMI 0-2)</td>
                <td align="center">76 (37.6%)</td>
              </tr>
              <tr>
                <td>Intermediate-risk TIMI score (TIMI 3-4)</td>
                <td align="center">102 (50.5%)</td>
              </tr>
              <tr>
                <td>High-risk TIMI score (TIMI 5-7)</td>
                <td align="center">24 (11.9%)</td>
              </tr>
              <tr>
                <td>GFRe (mL/min) (IQ range)</td>
                <td align="center">69.3 (46.7; 92.3)</td>
              </tr>
              <tr>
                <td>BNP (pg/mL) (admission) (IQ range)</td>
                <td align="center">81.9 (22.2; 225)</td>
              </tr>
              <tr>
                <td>
                  <bold>Final diagnosis</bold>
                </td>
                <td align="center">
								</td>
              </tr>
              <tr>
                <td>Unstable angina</td>
                <td align="center">117 (52.2%)</td>
              </tr>
              <tr>
                <td>NSTEMI</td>
                <td align="center">107 (47.8%)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN1">
              <p>IQ: interquartile; GFRe: estimated glomerular filtration rate; BNP: B-type natriuretic peptide; NSTEMI: non-ST elevation myocardial infarction; ECG: electrocardiogram</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p><xref ref-type="table" rid="t2">Table 2</xref> demonstrates the relationship between BNP quartiles and clinical and laboratory findings in the 224 NSTEACS patients. It is noteworthy that there was a significant univariate direct relationship with admission BNP levels for most of these variables.</p>
        <table-wrap id="t2">
          <label>Table 2</label>
          <caption>
            <title>Relationship of clinical and laboratory data, final diagnosis and all-cause mortality rate with quartiles of BNP levels (in pg/mL)</title>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <th>
								</th>
                <th align="center">
                  <bold>1st quartile</bold>
                </th>
                <th align="center">
                  <bold>2nd quartile</bold>
                </th>
                <th align="center">
                  <bold>3rd quartile</bold>
                </th>
                <th align="center">
                  <bold>4th quartile</bold>
                </th>
                <th align="center">
								</th>
              </tr>
              <tr>
                <th>
								</th>
                <th align="center">
                  <bold>(BNP &lt; 22.2) n = 56</bold>
                </th>
                <th align="center">
                  <bold>(BNP 22.2-81.9) n = 56</bold>
                </th>
                <th align="center">
                  <bold>(BNP 82.0-225) n = 56</bold>
                </th>
                <th align="center">
                  <bold>(BNP &gt; 225)n = 56</bold>
                </th>
                <th align="center">
                  <bold>p-value</bold>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Age (years) (IQ range)</td>
                <td align="center">60.5 (51.5; 71.5)</td>
                <td align="center">68.5 (58.5; 75)</td>
                <td align="center">73.0 (68; 81)</td>
                <td align="center">80.0 (73; 84)</td>
                <td align="center">p &lt; 0.0001</td>
              </tr>
              <tr>
                <td>Previous MI (%)</td>
                <td align="center">10 (17.9)</td>
                <td align="center">15 (26.8)</td>
                <td align="center">21 (37.5)</td>
                <td align="center">23 (41.1)</td>
                <td align="center">p = 0.0037</td>
              </tr>
              <tr>
                <td>Previous use of aspirin (%)</td>
                <td align="center">16 (28.6)</td>
                <td align="center">23 (41.1)</td>
                <td align="center">29 (51.8)</td>
                <td align="center">19 (33.9)</td>
                <td align="center">p = 0.3594</td>
              </tr>
              <tr>
                <td>Admission LV failure (%)</td>
                <td align="center">4 (7.3)</td>
                <td align="center">2 (3.6)</td>
                <td align="center">4 (7.1)</td>
                <td align="center">16 (28.6)</td>
                <td align="center">p = 0.0004</td>
              </tr>
              <tr>
                <td>Admission ST-segment depression (%)</td>
                <td align="center">7.1 (4)</td>
                <td align="center">10.7 (6)</td>
                <td align="center">16.1 (9)</td>
                <td align="center">16.1 (9)</td>
                <td align="center">p = 0.1050</td>
              </tr>
              <tr>
                <td>Admission TIMI Risk Score</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
              </tr>
              <tr>
                <td>Low Risk (TIMI 0-2) (%)</td>
                <td align="center">31 (58.5)</td>
                <td align="center">19 (38.8)</td>
                <td align="center">11 (22.9)</td>
                <td align="center">15 (28.8)</td>
                <td align="center">
								</td>
              </tr>
              <tr>
                <td>Intermediate Risk (TIMI 3-4) (%)</td>
                <td align="center">20 (37.7)</td>
                <td align="center">25 (51.0)</td>
                <td align="center">28 (58.3)</td>
                <td align="center">29 (55.8)</td>
                <td align="center">p = 0.0002</td>
              </tr>
              <tr>
                <td>High Risk (TIMI 5-7) (%)</td>
                <td align="center">2 (3.8)</td>
                <td align="center">5 (10.2)</td>
                <td align="center">9 (18.8)</td>
                <td align="center">8 (15.4)</td>
                <td align="center">
								</td>
              </tr>
              <tr>
                <td>LV dysfunction on Echo (%)</td>
                <td align="center">9 (16.4)</td>
                <td align="center">16 (30.2)</td>
                <td align="center">21 (38.2)</td>
                <td align="center">36 (64.3)</td>
                <td align="center">p &lt; 0.0001</td>
              </tr>
              <tr>
                <td>Final diagnosis</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
                <td align="center">
								</td>
              </tr>
              <tr>
                <td>Unstable angina (%)</td>
                <td align="center">60.7</td>
                <td align="center">64.3</td>
                <td align="center">55.4</td>
                <td align="center">28.6</td>
                <td align="center">p = 0.0004</td>
              </tr>
              <tr>
                <td>NSTEMI (%)</td>
                <td align="center">39.3</td>
                <td align="center">35.7</td>
                <td align="center">44.6</td>
                <td align="center">71.4</td>
                <td align="center">p = 0.0004</td>
              </tr>
              <tr>
                <td>All-cause death (%)</td>
                <td align="center">8 (14.3)</td>
                <td align="center">9 (16.1)</td>
                <td align="center">27 (48.2)</td>
                <td align="center">41 (73.2)</td>
                <td align="center">p &lt; 0.0001</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN2">
              <p>BNP- B: type natriuretic peptide; IQ: interquartile; MI: myocardial infarction; LV: left ventricle; Echo: echocardiogram; NSTEMI: non-ST elevation myocardial infarction.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>During follow-up, 85 patients (37.9%) died in 10 years. Mortality rate increased progressively according to BNP quartiles levels, as depicted in <xref ref-type="table" rid="t2">Table 2</xref>. Patients who died were older at the index ACS event (79 <italic>vs</italic> 66 years, p &lt; 0.001), had a worse mean estimated glomerular filtration rate (49.1 <italic>vs</italic> 80.5 mL/min, p &lt; 0.001), presented more frequently with heart failure on admission (21.2 <italic>vs</italic> 5.8%, p = 0.001), had more frequently myocardial infarction on admission (61.2 <italic>vs</italic> 39.6%, p = 0.002) and had higher levels of admission BNP (220 <italic>vs</italic> 44.7 pg/mL, p &lt; 0.001) than patients who survived.</p>
      </sec>
      <sec>
        <title>Prognostic accuracy of BNP levels measured on admission</title>
        <p>ROC curve analysis disclosed 100 pg/mL as the best prognostic cut-off value of BNP for 10-year all-cause mortality (area under the curve = 0.789, 95% CI = 0.723 - 0.854). Patients with BNP &#8805; 100 pg/mL had a mortality rate of 65% <italic>vs</italic> 17.3% of those with BNP &lt; 100 pg/mL (relative risk = 3.76, p &lt; 0.001). Sensitivity, specificity, and positive and negative predictive values for mortality were 74.1%, 75.5%, 64.9% and 82.7%, respectively.</p>
        <p>The median 10-year survival, as determined by use of the Kaplan-Meier method, was 5.80 years (IQ range = 2.55-9.44) for patients with admission BNP &#8805; 100 pg/mL <italic>vs</italic> 9.63 years (IQ range = 9.04-10.13) for those with BNP &lt; 100 pg/mL (p &lt; 0.0001).</p>
        <p>On a multivariate stepwise logistic regression analysis adjusted for all demographic and clinical variables known to be predictors of cardiac death or related to an elevated BNP level (including all variables from <xref ref-type="table" rid="t1">Tables 1</xref> and <xref ref-type="table" rid="t2">2</xref>), a BNP level of 100 pg/mL obtained upon Emergency Department admission was an independent predictor of 10-year death (<xref ref-type="table" rid="t3">Table 3</xref>).</p>
        <table-wrap id="t3">
          <label>Table 3</label>
          <caption>
            <title>Independent predictors of 10-year all-cause death by multivariate stepwise logistic regression analysis in patients with non-ST segment elevation acute coronary syndrome</title>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <th align="center" colspan="3">
                  <bold>Independent predictors of mortality</bold>
                </th>
              </tr>
              <tr>
                <th align="left">
                  <bold>Variables</bold>
                </th>
                <th align="center">
                  <bold>OR (95% CI)</bold>
                </th>
                <th align="center">
                  <bold>p-value</bold>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Age &gt; 72 years</td>
                <td align="center">3.79 (1.62-8.86)</td>
                <td align="center">p = 0.002</td>
              </tr>
              <tr>
                <td>BNP &#8805; 100pg/mL</td>
                <td align="center">6.24 (2.95-13.23)</td>
                <td align="center">p &lt; 0.001</td>
              </tr>
              <tr>
                <td>GFRe (for each mL/min increment)</td>
                <td align="center">0.98 (0.97-0.99)</td>
                <td align="center">p = 0.049</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN3">
              <p>BNP- B: type natriuretic peptide; GFRe: estimated glomerular filtration rate; OR: odds ratio; CI: confidence interval.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Finally, when using the IDI technique, the addition of BNP information to the traditional risk variables improved prediction and produced an absolute discriminatory increase rate of 3.06% for 10-year mortality (<xref ref-type="table" rid="t4">Table 4</xref>). The relative discrimination improvement was 10% greater for 10-year mortality with the knowledge and use of BNP information as compared to no use.</p>
        <table-wrap id="t4">
          <label>Table 4</label>
          <caption>
            <title>Comparison of average risk and discrimination improvement using the traditional risk model and the B-type natriuretic peptide (BNP)-added model for 10-year mortality between patients who died (cases) and who survived (controls)</title>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <th align="left">
                  <bold>10-year mortality</bold>
                </th>
                <th>
								</th>
                <th align="center">
                  <bold>Average risk</bold>
                </th>
                <th align="center">
                  <bold>Discrimination improvement</bold>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td rowspan="2">Traditional risk model (without BNP)</td>
                <td align="center">Cases</td>
                <td align="center">24.931</td>
                <td align="center" rowspan="2">34.557</td>
              </tr>
              <tr>
                <td align="center">Controls</td>
                <td align="center">59.488</td>
              </tr>
              <tr>
                <td rowspan="2">BNP-added risk model</td>
                <td align="center">Cases</td>
                <td align="center">23.766</td>
                <td align="center" rowspan="2">37.615</td>
              </tr>
              <tr>
                <td align="center">Controls</td>
                <td align="center">61.381</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN4">
              <p>Integrated discrimination improvement: 37.615 &#8211; 34.557 = 3.058 (p = 0.0224)</p>
              <p>Relative discrimination improvement: 37.615 / 34.557 = 1.088</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>TIMI risk score and BNP levels</title>
        <p>Information of BNP level further improved risk stratification of the 10-year mortality rate in all three levels of the TIMI risk score, as depicted in <xref ref-type="fig" rid="f1">Figure 1</xref>. The Kaplan-Meier 10-year survival curves of the two levels of BNP value and the three levels of TIMI risk score are depicted in <xref ref-type="fig" rid="f2">Figures 2</xref> and <xref ref-type="fig" rid="f3">3</xref>, and clearly disclose a much better discriminative prognostic performance of BNP.</p>
        <p>
          <fig id="f1">
            <label>Figure 1</label>
            <caption>
              <title>10-year all-cause mortality rates of non-ST segment elevation acute coronary syndrome patients according to the TIMI risk score levels (low = 0-2 points, intermediate = 3-4 points, high= 5-7 points) stratified by optimal C-statistics B-type natriuretic peptide (BNP) cut-off value (in pg/mL).</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-106-03-0218-60021-gf01.jpg"/></fig>
        </p>
        <p>
          <fig id="f2">
            <label>Figure 2</label>
            <caption>
              <title>Kaplan-Meier survival curves of 224 patients with non-ST segment elevation acute coronary syndrome according to admission B-type natriuretic peptide (BNP) level.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-106-03-0218-60021-gf02.jpg"/></fig>
        </p>
        <p>
          <fig id="f3">
            <label>Figure 3</label>
            <caption>
              <title>Kaplan-Meier survival curves of 202 patients with non-ST segment elevation acute coronary syndrome according to TIMI risk score levels (low = 0-2 points, intermediate = 3-4 points, high = 5-7 points).</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-106-03-0218-60021-gf03.jpg"/></fig>
        </p>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>Several cardiac biomarkers have been proposed and used in the last few decades for prognostic stratification of patients with ACS. The most used are the necrosis markers, specially troponins.<xref ref-type="bibr" rid="B4">4</xref><sup>,</sup><xref ref-type="bibr" rid="B5">5</xref><sup>,</sup><xref ref-type="bibr" rid="B15">15</xref><sup>,</sup><xref ref-type="bibr" rid="B16">16</xref>
			</p>
      <p>Since the year 2000, the immediate- and short-term risk evaluation of cardiovascular outcomes in patients with ACS has been done with the TIMI<xref ref-type="bibr" rid="B1">1</xref> and the GRACE<xref ref-type="bibr" rid="B17">17</xref> risk scores as they are relatively easy to calculate at the bedside. It is important to remember that the TIMI risk score was originally tested for a 14-day follow-up; however, several authors have extrapolated its use for longer periods.<xref ref-type="bibr" rid="B18">18</xref><sup>-</sup><xref ref-type="bibr" rid="B20">20</xref> Unfortunately these aggregates of risk factors lack good accuracy for 1-year follow-up as evaluated by the C-statistics of 0.58<xref ref-type="bibr" rid="B18">18</xref> to 0.69<xref ref-type="bibr" rid="B19">19</xref> for the TIMI and 0.71<xref ref-type="bibr" rid="B18">18</xref> to 0.79<xref ref-type="bibr" rid="B19">19</xref> for the GRACE risk scores. This knowledge has instigated the search for novel and more accurate markers of mortality prediction.<xref ref-type="bibr" rid="B10">10</xref><sup>,</sup><xref ref-type="bibr" rid="B21">21</xref><sup>-</sup><xref ref-type="bibr" rid="B25">25</xref>
			</p>
      <p>BNP was initially found to be a very early and accurate biochemical marker of acute cardiac contractile dysfunction<xref ref-type="bibr" rid="B26">26</xref><sup>-</sup><xref ref-type="bibr" rid="B28">28</xref> and has been also extensively studied in patients with myocardial ischemia and infarction.<xref ref-type="bibr" rid="B29">29</xref><sup>-</sup><xref ref-type="bibr" rid="B31">31</xref> Its blood concentration increases immediately and rapidly after the beginning of cardiac hypoxia and correlates directly with the extension of myocardial ischemia.<xref ref-type="bibr" rid="B11">11</xref><sup>,</sup><xref ref-type="bibr" rid="B32">32</xref><sup>,</sup><xref ref-type="bibr" rid="B33">33</xref> Lately, it has been found to be an excellent prognostic marker of cardiac outcomes in patients with ACS.<xref ref-type="bibr" rid="B6">6</xref><sup>,</sup><xref ref-type="bibr" rid="B8">8</xref><sup>,</sup><xref ref-type="bibr" rid="B9">9</xref><sup>,</sup><xref ref-type="bibr" rid="B34">34</xref><sup>-</sup><xref ref-type="bibr" rid="B38">38</xref> However, most of these studies followed their patients for 1 year, and few of them did it for up to 4 years.<xref ref-type="bibr" rid="B36">36</xref><sup>,</sup><xref ref-type="bibr" rid="B39">39</xref><sup>-</sup><xref ref-type="bibr" rid="B40">40</xref>
			</p>
      <p>The present study is the first to demonstrate that BNP measured on arrival at the Emergency Department is a strong and independent marker of all-cause death in patients with NSTEACS up to 10 years after the index event, even when compared to the TIMI Risk Score. Our population comes from a consecutive series of patients seen at the Emergency Department with acute chest pain to whom a systematic, careful, comprehensive diagnostic protocol for cardiac ischemia was applied, including the serial measurement of myocardial necrosis markers and ECG, as well as a single BNP sample obtained on admission. Patient's management was left at their private physicians discretion, but most of those with ACS were submitted to coronary angiography and revascularization if found necessary.</p>
      <p>BNP was found to remain a powerful and independent marker of all-cause death in the long run in our NSTEACS study sample. BNP also had discriminatory power adding significant prognostic information beyond traditional risk variables for 10-year mortality as seen with the C-statistics. This was confirmed by use of the IDI tool that evaluates the absolute difference between predicted and observed outcome rates, thus representing predictive model's efficiency and consequently allowing comparison of two models. For 10-year mortality, IDI significantly improved outcome discrimination when BNP was used in the model as compared to not used (<xref ref-type="table" rid="t4">Table 4</xref>), allowing one more patient to obtain a correct outcome classification in a group of 33 individuals.</p>
      <p>BNP added significant prognostic information to the TIMI Risk Score of these patients identifying lower and higher risk subgroups (<xref ref-type="fig" rid="f1">Figure 1</xref>). Similar findings were previously demonstrated on a 6-month follow-up study by Bazzino et al.<xref ref-type="bibr" rid="B6">6</xref> Contrary to BNP, the TIMI Risk Score itself could not accurately stratify patients for long-term mortality in our study (<xref ref-type="fig" rid="f3">Figure 3</xref>).</p>
      <p>Why an elevated BNP measured at an index ACS episode remains as a risk factor of all-cause mortality up to 10 years later is a matter of discussion. As BNP blood levels are not particularly predictive of recurrent fatal and nonfatal myocardial infarction,<xref ref-type="bibr" rid="B6">6</xref><sup>,</sup><xref ref-type="bibr" rid="B41">41</xref> it seems unlikely that late mortality can be explained by a new episode of ACS. It may be speculated that its elevation represents a summation of two well-known prognostic markers in coronary artery disease, that is, the presence and extension of left ventricular ischemia and dysfunction.<xref ref-type="bibr" rid="B7">7</xref><sup>,</sup><xref ref-type="bibr" rid="B42">42</xref><sup>,</sup><xref ref-type="bibr" rid="B43">43</xref> The findings of our study could be useful in treatment strategy decision as some authors have suggested that BNP-therapy-guided interventions might improve mortality after ACS.<xref ref-type="bibr" rid="B44">44</xref><sup>,</sup><xref ref-type="bibr" rid="B45">45</xref>
			</p>
      <sec>
        <title>Limitations of the study</title>
        <p>The present study sample is relatively small in comparison with other cited multicenter studies and originates from a single, private, cardiology-oriented institution. This study does not address the possible value of serial BNP measurements. The troponin assay used in this patient sample is of an older generation (non-high sensitive), although many institutions around the world still use it. It must be remembered that the biochemical diagnostic criteria of myocardial infarction have changed at least twice in the last decade.<xref ref-type="bibr" rid="B46">46</xref><sup>,</sup><xref ref-type="bibr" rid="B47">47</xref>
				</p>
      </sec>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusions</title>
      <p>BNP measured on hospital admission in patients with NSTEACS remains a strong, independent predictor of very long-term all-cause mortality, corroborating its excellent risk-stratification capability seen in short- and intermediate-term follow-up studies. This study allows raising the hypothesis that BNP should be measured in all patients with NSTEACS at the index event for long-term risk stratification.</p>
    </sec>
  </body>
  <back>
    <ack>
      <title>Acknowledgement</title>
      <p>This study was partially funded by Hospital Pr&#243;-Card&#237;aco, Rio de Janeiro, Brazil, from where all the data were collected. This manuscript is part of the Master's thesis in Science of Fernando Bassan at the Cardiology Chair, Faculdade de Ci&#234;ncias M&#233;dicas, Universidade do Estado do Rio de Janeiro, Brazil.</p>
    </ack>
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    <fn-group>
      <fn fn-type="supported-by">
        <p>
          <bold>Sources of Funding</bold>
        </p>
        <p>There were no external funding sources for this study.</p>
      </fn>
    </fn-group>
  </back>
  <sub-article article-type="translation" id="s1" xml:lang="pt">
    <front-stub>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigos Originais</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Papel Progn&#243;stico a Muito Longo Prazo do BNP de Admiss&#227;o na S&#237;ndrome Coronariana Aguda sem Eleva&#231;&#227;o do Segmento ST</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Bassan</surname>
            <given-names>Fernando</given-names>
          </name>
          <xref ref-type="aff" rid="aff6">1</xref>
          <xref ref-type="aff" rid="aff7">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bassan</surname>
            <given-names>Roberto</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Esporcatte</surname>
            <given-names>Roberto</given-names>
          </name>
          <xref ref-type="aff" rid="aff10">1</xref>
          <xref ref-type="aff" rid="aff9">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Santos</surname>
            <given-names>Braulio</given-names>
          </name>
          <xref ref-type="aff" rid="aff10">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Tura</surname>
            <given-names>Bernardo</given-names>
          </name>
          <xref ref-type="aff" rid="aff10">5</xref>
        </contrib>
      </contrib-group>
      <aff id="aff6">
        <label>1</label>
        <institution content-type="original">Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ - Brasil</institution>
      </aff>
      <aff id="aff7">
        <label>2</label>
        <institution content-type="original">Departamento de Coronariopatia - Instituto Nacional de Cardiologia, Rio de Janeiro, RJ - Brasil</institution>
      </aff>
      <aff id="aff8">
        <label>3</label>
        <institution content-type="original">Pont&#237;ficia Universidade Cat&#243;lica do Rio de Janeiro, Rio de Janeiro, RJ - Brasil</institution>
      </aff>
      <aff id="aff9">
        <label>4</label>
        <institution content-type="original">Hospital Pr&#243;-Card&#237;aco, Rio de Janeiro, RJ - Brasil</institution>
      </aff>
      <aff id="aff10">
        <label>5</label>
        <institution content-type="original">Departamento de Pesquisa Cl&#237;nica - Instituto Nacional de Cardiologia, Rio de Janeiro, RJ - Brasil</institution>
      </aff>
      <author-notes>
        <corresp id="c2"><bold>Correspond&#234;ncia: Fernando Bassan,</bold> Instituto Nacional de Cardiologia - Rua das Laranjeiras, 374. Rio de Janeiro - RJ. CEP 22240-006, Rio de Janeiro, RJ - Brasil. E-mail: <email>fbassan@globo.com</email>
				</corresp>
        <fn fn-type="con">
          <p>
            <bold>Contribui&#231;&#227;o dos autores</bold>
          </p>
          <p>Concep&#231;&#227;o e desenho da pesquisa, Reda&#231;&#227;o do manuscrito e Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante: Bassan F, Bassan R, Esporcatte R; Obten&#231;&#227;o de dados: Bassan F, Bassan R; An&#225;lise e interpreta&#231;&#227;o dos dados e An&#225;lise estat&#237;stica: Bassan F, Bassan R, Esporcatte R, Santos B, Tura B.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potencial conflito de interesse</bold>
          </p>
          <p>Declaro n&#227;o haver conflito de interesses pertinentes.</p>
        </fn>
        <fn fn-type="other">
          <p>
            <bold>Vincula&#231;&#227;o acad&#234;mica</bold>
          </p>
          <p>Este artigo &#233; parte de Disserta&#231;&#227;o de Mestrado de Fernando Bassan pela Universidade do Estado do Rio de Janeiro.</p>
        </fn>
      </author-notes>
      <abstract>
        <title>Resumo</title>
        <sec>
          <title>Fundamento:</title>
          <p>O BNP foi exaustivamente avaliado para a determina&#231;&#227;o do progn&#243;stico em curto e m&#233;dio prazo em pacientes com s&#237;ndrome coronariana aguda, mas o seu papel para a mortalidade a longo prazo &#233; incerta.</p>
        </sec>
        <sec>
          <title>Objetivo:</title>
          <p>Determinar o papel progn&#243;stico a muito longo prazo do pept&#237;deo natriur&#233;tico do tipo B (BNP) para a mortalidade por todas as causas em pacientes com s&#237;ndrome coronariana aguda sem supradesnivelamento do segmento ST (SCASSST).</p>
        </sec>
        <sec>
          <title>M&#233;todos:</title>
          <p>Coorte de 224 pacientes consecutivos com SCASSST, prospectivamente atendidos no setor de emerg&#234;ncia, em que se mediu o BNP na chegada para estabelecer o progn&#243;stico ao longo do seguimento mediano de 9,34 anos para a mortalidade por todas as causas.</p>
        </sec>
        <sec>
          <title>Resultados:</title>
          <p>Diagnosticou-se angina inst&#225;vel em 52,2% e infarto do mioc&#225;rdio sem supradesnivelamento do segmento ST em 47,8%. A mediana do BNP da admiss&#227;o foi de 81,9 pg/mL (intervalo IQ = 22,2; 225) e a taxa de mortalidade correlacionou-se com quartis crescentes de BNP: 14,3; 16,1; 48,2; e 73,2% (p &lt; 0,0001). A curva ROC revelou 100 pg/mL como o melhor ponto de corte de BNP para a predi&#231;&#227;o de mortalidade (&#225;rea sob a curva = 0,789, 95% CI = 0,723-0,854) sendo um forte preditor de mortalidade tardia: BNP &lt; 100 = 17,3% vs. BNP &#8805; 100 = 65,0%, RR = 3,76 (IC 95% = 2,49-5,63, p &lt; 0,001). Na an&#225;lise de regress&#227;o log&#237;stica, idade&gt;72 anos (OR = 3,79, IC 95% = 1,62-8,86, p = 0,002), BNP &#8805; 100 pg/mL (OR = 6,24, IC 95% = 2,95-13,23, p &lt; 0,001) e taxa de filtra&#231;&#227;o glomerular estimada (OR = 0,98, IC 95% = 0,97-0,99, p = 0,049) foram preditores independentes de mortalidade tardia.</p>
        </sec>
        <sec>
          <title>Conclus&#245;es:</title>
          <p>O BNP medido na admiss&#227;o hospitalar em pacientes com SCASSST &#233; um forte preditor independente de mortalidade por todas as causas de muito longo prazo. Este estudo permite que se levante a hip&#243;tese de que o BNP deva ser medido em todos os pacientes com SCASSST no evento-&#237;ndice para a estratifica&#231;&#227;o de risco a longo prazo.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="pt">
        <title>Palavras-chave:</title>
        <kwd>Pept&#237;deo Natriur&#233;tico Tipo B / mortalidade</kwd>
        <kwd>Progn&#243;stico</kwd>
        <kwd>S&#237;ndrome Coronariana Aguda</kwd>
        <kwd>Isquemia Mioc&#225;rdica</kwd>
      </kwd-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introdu&#231;&#227;o</title>
        <p>A despeito de todo o conhecimento acumulado nas &#250;ltimas d&#233;cadas sobre a identifica&#231;&#227;o de vari&#225;veis cl&#237;nicas e laboratoriais para a determina&#231;&#227;o de progn&#243;stico a curto e m&#233;dio prazo em pacientes com s&#237;ndrome coronariana aguda (SCA),<xref ref-type="bibr" rid="B1">1</xref><sup>-</sup><xref ref-type="bibr" rid="B5">5</xref> sua capacidade de predi&#231;&#227;o a longo prazo permanece desconhecida. O pept&#237;deo natriur&#233;tico do tipo B (BNP) &#233; um desses marcadores e mostrou muito bom desempenho na extensa avalia&#231;&#227;o para aquele prop&#243;sito,<xref ref-type="bibr" rid="B6">6</xref><sup>-</sup><xref ref-type="bibr" rid="B10">10</xref> embora nenhum estudo tenha investigado seu valor para a correta identifica&#231;&#227;o daqueles indiv&#237;duos com alto risco de morte em muito longo prazo.</p>
        <p>Este estudo coletou prospectiva e sistematicamente dados cl&#237;nicos e laboratoriais em uma coorte de pacientes examinados na Unidade de Dor Tor&#225;cica de um setor de emerg&#234;ncia, tendo-se utilizado um protocolo abrangente de diagn&#243;stico e estratifica&#231;&#227;o de risco.<xref ref-type="bibr" rid="B11">11</xref> V&#225;rios marcadores cl&#237;nicos e laboratoriais foram avaliados quando da admiss&#227;o para o diagn&#243;stico de SCA. Os pacientes foram ent&#227;o tratados adequadamente e seguidos para a determina&#231;&#227;o de sua hist&#243;ria natural a longo prazo. Este estudo teve por objetivo determinar o papel progn&#243;stico do n&#237;vel de BNP &#224; admiss&#227;o para a mortalidade em 10 anos por todas as causas desses indiv&#237;duos com diagn&#243;stico final de SCA sem supradesnivelamento do segmento ST (SCASSST).</p>
      </sec>
      <sec sec-type="methods">
        <title>M&#233;todos</title>
        <sec>
          <title>Popula&#231;&#227;o do estudo e coleta de dados</title>
          <p>Este estudo avaliou prospectivamente 723 pacientes consecutivos atendidos no setor de emerg&#234;ncia do Hospital Pr&#243;-Card&#237;aco, uma institui&#231;&#227;o privada, terci&#225;ria, com foco em cardiologia, no Rio de Janeiro, Brasil, entre 1 de janeiro de 2002 e 31 de dezembro de 2003. Queixavam-se de desconforto ou dor tor&#225;cica nas 12 horas anteriores, devida a prov&#225;vel isquemia card&#237;aca aguda, e, ao eletrocardiograma (ECG) de admiss&#227;o, n&#227;o apresentavam eleva&#231;&#227;o do segmento ST. Esses pacientes foram tratados rotineiramente na Unidade de Dor Tor&#225;cica com um protocolo sistem&#225;tico de diagn&#243;stico que recomendava o seguinte: 1) marcadores card&#237;acos: n&#237;veis admissionais e seriados (a cada 3 horas) de creatina quinase-MB massa (CKMB) e/ou troponina I; 2) ECG admissional e seriado; 3) ecocardiograma (em muitos pacientes); 4) caso n&#227;o se detectem necrose mioc&#225;rdica nem isquemia de repouso, realizar teste de esfor&#231;o (ECG na esteira ou cintilografia mioc&#225;rdica). Realizaram-se angiografia coronariana e revasculariza&#231;&#227;o a crit&#233;rio do m&#233;dico assistente. Calculou-se o escore de risco TIMI para todos aqueles que atendessem aos crit&#233;rios de diagn&#243;stico de SCA. Com base nisso, 237 pacientes receberam o diagn&#243;stico final de SCASSST, constituindo a popula&#231;&#227;o inicial do estudo. Desses, 13 foram perdidos nos 10 anos de seguimento. Os outros 224 pacientes representaram a amostra final do estudo.</p>
          <p>Os pacientes com suspeita (de intermedi&#225;ria a alta probabilidade pr&#233;-teste) ou diagn&#243;stico claro na admiss&#227;o de dist&#250;rbio com amea&#231;a de morte outro que n&#227;o SCA, como dissec&#231;&#227;o a&#243;rtica e embolia pulmonar, foram imediatamente submetidos a exames de imagem adequados e, caso confirmado, foram desviados da via diagn&#243;stica acima mencionada. Tais pacientes foram exclu&#237;dos deste estudo.</p>
          <p>Para este estudo prospectivo, a medida do BNP plasm&#225;tico foi incorporada ao protocolo de diagn&#243;stico e realizada na admiss&#227;o com o prop&#243;sito de correlacionar o BNP com o diagn&#243;stico final de alta e progn&#243;stico de seguimento. Os resultados de BNP foram disponibilizados para os m&#233;dicos assistentes. Este estudo est&#225; de acordo com a Declara&#231;&#227;o de Helsinki, tendo seu protocolo sido aprovado pelo comit&#234; de &#233;tica do hospital. Todos os pacientes assinaram o termo de consentimento livre e informado.</p>
        </sec>
        <sec>
          <title>An&#225;lise bioqu&#237;mica</title>
          <p>O BNP plasm&#225;tico foi imediatamente analisado na mesma amostra de sangue anticoagulado com EDTA colhido na admiss&#227;o para troponina I, usando o ensaio quantitativo de imunofluoresc&#234;ncia (Biosite, Calif&#243;rnia, EUA). A sensibilidade anal&#237;tica do teste &#233; inferior a 5 pg/mL, sendo o limite superior de normalidade considerado 100 pg/mL. Mediu-se a troponina I plasm&#225;tica atrav&#233;s de imunofluoresc&#234;ncia (Dade-Behring, Marburg, Alemanha). A sensibilidade anal&#237;tica do teste &#233; 0,1 ng/mL, sendo qualquer valor acima desse considerado diagn&#243;stico de infarto do mioc&#225;rdio sem supradesnivelamento de segmento ST (IMSSST) neste estudo.<xref ref-type="bibr" rid="B12">12</xref><sup>,</sup><xref ref-type="bibr" rid="B13">13</xref> O coeficiente de varia&#231;&#227;o do percentil 99 do valor diagn&#243;stico do teste (0,1 ng/mL) &#233; 10%.</p>
        </sec>
        <sec>
          <title>Dados cl&#237;nicos e diagn&#243;stico na alta hospitalar</title>
          <p>Todos os dados demogr&#225;ficos e cl&#237;nicos foram obtidos prospectivamente na admiss&#227;o hospitalar e durante perman&#234;ncia no setor de emerg&#234;ncia e hospital at&#233; o estabelecimento do diagn&#243;stico final. Diagnosticou-se IMSSST quando o n&#237;vel de troponina I excedeu 0,1 ng/mL em alguma amostra nas primeiras 9 horas ap&#243;s a admiss&#227;o, seguido de uma eleva&#231;&#227;o e/ou queda, com ou sem altera&#231;&#227;o ST-T no ECG, na aus&#234;ncia de qualquer outra causa demonstr&#225;vel para dor tor&#225;cica. Diagnosticou-se angina inst&#225;vel quando, na aus&#234;ncia do padr&#227;o de troponina I j&#225; mencionado, dor tor&#225;cica sugestiva associou-se a depress&#227;o transit&#243;ria do segmento ST (&#8805; 0,1 mV) ou a invers&#227;o da onda T no ECG, ou a teste de esfor&#231;o isqu&#234;mico antes da alta ou a significativa doen&#231;a arterial coronariana na angiografia. Diagnosticou-se aus&#234;ncia de SCA quando o protocolo diagn&#243;stico completo realizado na Unidade de Dor Tor&#225;cica n&#227;o demonstrou necrose nem isquemia mioc&#225;rdica. Os pacientes que apresentaram eleva&#231;&#227;o nos n&#237;veis de troponina I ap&#243;s angioplastia coronariana percut&#226;nea n&#227;o foram considerados como tendo infarto do mioc&#225;rdio. Calculou-se o escore de risco TIMI na admiss&#227;o hospitalar, com a seguinte classifica&#231;&#227;o: risco baixo, 0-2 pontos; intermedi&#225;rio, 3-4 pontos; e alto, 5-7 pontos.</p>
        </sec>
        <sec>
          <title>Desfechos cl&#237;nicos</title>
          <p>Ap&#243;s a alta hospitalar, o <italic>status</italic> cl&#237;nico dos pacientes foi prospectivamente determinado atrav&#233;s de liga&#231;&#245;es telef&#244;nicas com 1 m&#234;s, 1 ano e 10 anos. Quando algum evento cl&#237;nico foi relatado pelo paciente ou parente pr&#243;ximo, o prontu&#225;rio m&#233;dico foi revisto ou o m&#233;dico particular contatado para estabelecer o tipo de evento ou morte. O desfecho prim&#225;rio do estudo foi morte por todas as causas. Ap&#243;s 10 anos, 13 pacientes (5,5%) foram perdidos no seguimento.</p>
        </sec>
        <sec>
          <title>An&#225;lise estat&#237;stica</title>
          <p>Todas as an&#225;lises de dados foram realizadas com o programa Stata 12.1 (StataCorp 2011). As concentra&#231;&#245;es plasm&#225;ticas de BNP foram descritas como mediana e intervalo interquartil (IQ). Para todas as medidas da amostra, calculou-se o intervalo de confian&#231;a (IC) a 95% de acordo com o m&#233;todo de estimativa da probabilidade m&#225;xima. Para todas as an&#225;lises estat&#237;sticas, um valor de p &#8804; 0,05 foi considerado significativo.</p>
          <p>Diferen&#231;as nas propor&#231;&#245;es foram avaliadas usando-se o m&#233;todo do qui-quadrado. O teste de Mann-Whitney foi usado para comparar n&#237;veis de BNP entre dois grupos independentes (com ou sem morte por todas as causas em 10 anos).</p>
          <p>Calculou-se a an&#225;lise bivariada entre os quartis dos n&#237;veis de BNP e as vari&#225;veis cl&#237;nicas e mortalidade, usando-se o teste do qui-quadrado para tend&#234;ncia ou o teste exato de Fisher.</p>
          <p>Curvas <italic>receiver operating characteristic</italic> (ROC) foram geradas e a &#225;rea sob a curva (e seu IC 95%) calculada para determinar o melhor n&#237;vel discriminante de BNP obtido na admiss&#227;o para predi&#231;&#227;o de mortalidade por todas as causas.</p>
          <p>Sensibilidade, especificidade, valores preditivos positivo e negativo e IC 95% foram calculados da maneira usual. Os valores de <italic>hazard ratio</italic> foram corrigidos quando necess&#225;rio para evitar vi&#233;s de c&#225;lculo.</p>
          <p>A sobrevida acumulada de 10 anos foi determinada pelo m&#233;todo de Kaplan-Meier. A diferen&#231;a na sobrevida de acordo com o n&#237;vel de BNP foi avaliada usando-se teste de <italic>log-rank</italic> e modelo de riscos proporcionais de Cox.</p>
          <p>An&#225;lises de regress&#227;o log&#237;stica foram usadas para estabelecer a rela&#231;&#227;o preditiva entre n&#237;veis de BNP cont&#237;nuos ou dicotomizados e mortalidade ajustada para os efeitos de vari&#225;veis cl&#237;nicas e laboratoriais. Inicialmente, todas as vari&#225;veis significativas identificadas na an&#225;lise univariada foram inclu&#237;das nos modelos. As vari&#225;veis foram selecionadas usando-se o m&#233;todo <italic>forward stepwise</italic> guiado pelo teste de verossimilhan&#231;a, calculando-se a respectiva estat&#237;stica C. Realizou-se modelamento, recusando-se a entrada de vari&#225;veis com p &gt; 0,10.</p>
          <p>Estimou-se o valor discriminativo aumentado ap&#243;s adi&#231;&#227;o do BNP para se estabelecerem os fatores progn&#243;sticos de mortalidade em 10 anos usando-se a t&#233;cnica de melhoria da discrimina&#231;&#227;o integrada (IDI).<xref ref-type="bibr" rid="B14">14</xref> A IDI foi calculada analisando-se as diferen&#231;as na probabilidade estimada de mortalidade individual ap&#243;s a adi&#231;&#227;o do BNP ao modelo contendo os fatores progn&#243;sticos estabelecidos e mencionados, e representa a melhoria m&#233;dia na probabilidade prevista. Os resultados foram avaliados pelas diferen&#231;as absolutas e relativas nos valores de discrimina&#231;&#227;o entre os modelos.</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Resultados</title>
        <sec>
          <title>Caracter&#237;sticas dos pacientes</title>
          <p>Desta coorte de 224 pacientes consecutivos com SCASSST, 107 (47,8%) tiveram um diagn&#243;stico final de infarto do mioc&#225;rdio e 117 (52,2%), de angina inst&#225;vel. A <xref ref-type="table" rid="t5">Tabela 1</xref> mostra as caracter&#237;sticas demogr&#225;ficas e cl&#237;nicas. O escore de risco TIMI p&#244;de ser calculado em 202 daqueles 224 pacientes, a maioria dos quais foi classificada como de risco baixo ou intermedi&#225;rio.</p>
          <table-wrap id="t5">
            <label>Tabela 1</label>
            <caption>
              <title>Caracter&#237;sticas cl&#237;nicas e laboratoriais basais de 224 pacientes com s&#237;ndrome coronariana aguda sem supradesnivelamento do segmento ST</title>
            </caption>
            <table frame="hsides" rules="groups">
              <thead>
                <tr>
                  <th align="left">
                    <bold>Caracter&#237;sticas cl&#237;nicas</bold>
                  </th>
                  <th align="center">
                    <bold>n = 224</bold>
                  </th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Idade (anos) (intervalo IQ)</td>
                  <td align="center">71,5 (60,5; 79)</td>
                </tr>
                <tr>
                  <td>Sexo masculino</td>
                  <td align="center">141 (62,9%)</td>
                </tr>
                <tr>
                  <td>Diabetes mellitus</td>
                  <td align="center">53 (23,7%)</td>
                </tr>
                <tr>
                  <td>Tabagismo</td>
                  <td align="center">36 (16,1%)</td>
                </tr>
                <tr>
                  <td>IM pr&#233;vio</td>
                  <td align="center">69 (30,8%)</td>
                </tr>
                <tr>
                  <td>Uso pr&#233;vio de aspirina</td>
                  <td align="center">87 (38,8%)</td>
                </tr>
                <tr>
                  <td>ECG Normal (admiss&#227;o)</td>
                  <td align="center">157 (70,1%)</td>
                </tr>
                <tr>
                  <td>Depress&#227;o do segmento ST (admiss&#227;o)</td>
                  <td align="center">28 (12,5%)</td>
                </tr>
                <tr>
                  <td>Insufici&#234;ncia ventricular esquerda (admiss&#227;o)</td>
                  <td align="center">26 (11,7%)</td>
                </tr>
                <tr>
                  <td>Escore de risco TIMI baixo (TIMI 0-2)</td>
                  <td align="center">76 (37,6%)</td>
                </tr>
                <tr>
                  <td>Escore de risco TIMI intermedi&#225;rio (TIMI 3-4)</td>
                  <td align="center">102 (50,5%)</td>
                </tr>
                <tr>
                  <td>Escore de risco TIMI alto (TIMI 5-7)</td>
                  <td align="center">24 (11,9%)</td>
                </tr>
                <tr>
                  <td>TFGe (mL/min) (intervalo IQ)</td>
                  <td align="center">69,3 (46,7; 92,3)</td>
                </tr>
                <tr>
                  <td>BNP (pg/mL) (admiss&#227;o) (intervalo IQ)</td>
                  <td align="center">81,9 (22,2; 225)</td>
                </tr>
                <tr>
                  <td>
                    <bold>Diagn&#243;stico final</bold>
                  </td>
                  <td align="center">
									</td>
                </tr>
                <tr>
                  <td>Angina inst&#225;vel</td>
                  <td align="center">117 (52,2%)</td>
                </tr>
                <tr>
                  <td>IMSSST</td>
                  <td align="center">107 (47,8%)</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN5">
                <p>IM: infarto do mioc&#225;rdio; BNP: pept&#237;deo natriur&#233;tico do tipo B; TFGe: taxa de filtra&#231;&#227;o glomerular estimada; IQ: interquartil; IMSSST: infarto do mioc&#225;rdio sem supradesnivelamento do segmento ST; ECG: Eletrocardiograma.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <p>A <xref ref-type="table" rid="t6">Tabela 2</xref> demonstra a rela&#231;&#227;o entre quartis de BNP e achados cl&#237;nicos e laboratoriais nos 224 pacientes com SCASSST. &#201; importante notar que a maioria dessas vari&#225;veis apresentou uma significativa rela&#231;&#227;o univariada direta com os n&#237;veis de BNP na admiss&#227;o.</p>
          <table-wrap id="t6">
            <label>Tabela 2</label>
            <caption>
              <title>Rela&#231;&#227;o das caracter&#237;sticas cl&#237;nicas e laboratoriais, diagn&#243;stico final e taxa de mortalidade por todas as causas com os quartis de BNP (pg/mL)</title>
            </caption>
            <table frame="hsides" rules="groups">
              <thead>
                <tr>
                  <th>
									</th>
                  <th align="center">
                    <bold>1&#176; quartil</bold>
                  </th>
                  <th align="center">
                    <bold>2&#176; quartil</bold>
                  </th>
                  <th align="center">
                    <bold>3&#176; quartil</bold>
                  </th>
                  <th align="center">
                    <bold>4&#176; quartil</bold>
                  </th>
                  <th align="center">
									</th>
                </tr>
                <tr>
                  <th>
									</th>
                  <th align="center">
                    <bold>(BNP &lt; 22,2) n = 56</bold>
                  </th>
                  <th align="center">
                    <bold>(BNP 22,2-81,9) n = 56</bold>
                  </th>
                  <th align="center">
                    <bold>(BNP 82,0-225) n = 56</bold>
                  </th>
                  <th align="center">
                    <bold>(BNP &gt; 225)n = 56</bold>
                  </th>
                  <th align="center">
                    <bold>valor de p</bold>
                  </th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Idade (anos) (intervalo IQ)</td>
                  <td align="center">60,5 (51,5; 71,5)</td>
                  <td align="center">68,5 (58,5; 75)</td>
                  <td align="center">73,0 (68; 81)</td>
                  <td align="center">80,0 (73; 84)</td>
                  <td align="center">p &lt; 0,0001</td>
                </tr>
                <tr>
                  <td>IM pr&#233;vio (%)</td>
                  <td align="center">10 (17,9)</td>
                  <td align="center">15 (26,8)</td>
                  <td align="center">21 (37,5)</td>
                  <td align="center">23 (41,1)</td>
                  <td align="center">p = 0,0037</td>
                </tr>
                <tr>
                  <td>Uso pr&#233;vio de aspirina (%)</td>
                  <td align="center">16 (28,6)</td>
                  <td align="center">23 (41,1)</td>
                  <td align="center">29 (51,8)</td>
                  <td align="center">19 (33,9)</td>
                  <td align="center">p = 0,3594</td>
                </tr>
                <tr>
                  <td>Insufici&#234;ncia ventricular esquerda (admiss&#227;o) (%)</td>
                  <td align="center">4 (7,3)</td>
                  <td align="center">2 (3,6)</td>
                  <td align="center">4 (7,1)</td>
                  <td align="center">16 (28,6)</td>
                  <td align="center">p = 0,0004</td>
                </tr>
                <tr>
                  <td>Depress&#227;o do segmento ST (admiss&#227;o) (%)</td>
                  <td align="center">7,1 (4)</td>
                  <td align="center">10,7 (6)</td>
                  <td align="center">16,1 (9)</td>
                  <td align="center">16,1 (9)</td>
                  <td align="center">p = 0,1050</td>
                </tr>
                <tr>
                  <td>
                    <bold>Escore de risco TIMI (admiss&#227;o)</bold>
                  </td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                </tr>
                <tr>
                  <td>Risco baixo (TIMI 0-2) (%)</td>
                  <td align="center">31 (58,5)</td>
                  <td align="center">19 (38,8)</td>
                  <td align="center">11 (22,9)</td>
                  <td align="center">15 (28,8)</td>
                  <td align="center">
									</td>
                </tr>
                <tr>
                  <td>Risco intermedi&#225;rio (TIMI 3-4) (%)</td>
                  <td align="center">20 (37,7)</td>
                  <td align="center">25 (51,0)</td>
                  <td align="center">28 (58,3)</td>
                  <td align="center">29 (55,8)</td>
                  <td align="center">p = 0,0002</td>
                </tr>
                <tr>
                  <td>Risco alto (TIMI 5-7) (%)</td>
                  <td align="center">2 (3,8)</td>
                  <td align="center">5 (10,2)</td>
                  <td align="center">9 (18,8)</td>
                  <td align="center">8 (15,4)</td>
                  <td align="center">
									</td>
                </tr>
                <tr>
                  <td>Disfun&#231;&#227;o ventricular esquerda no ECO (%)</td>
                  <td align="center">9 (16,4)</td>
                  <td align="center">16 (30,2)</td>
                  <td align="center">21 (38,2)</td>
                  <td align="center">36 (64,3)</td>
                  <td align="center">p &lt; 0,0001</td>
                </tr>
                <tr>
                  <td>
                    <bold>Diagn&#243;stico final</bold>
                  </td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                  <td align="center">
									</td>
                </tr>
                <tr>
                  <td>Angina inst&#225;vel (%)</td>
                  <td align="center">60,7</td>
                  <td align="center">64,3</td>
                  <td align="center">55,4</td>
                  <td align="center">28,6</td>
                  <td align="center">p = 0,0004</td>
                </tr>
                <tr>
                  <td>IMSSST, %</td>
                  <td align="center">39,3</td>
                  <td align="center">35,7</td>
                  <td align="center">44,6</td>
                  <td align="center">71,4</td>
                  <td align="center">p = 0,0004</td>
                </tr>
                <tr>
                  <td>Morte por todas as causas (%)</td>
                  <td align="center">8 (14,3)</td>
                  <td align="center">9 (16,1)</td>
                  <td align="center">27 (48,2)</td>
                  <td align="center">41 (73,2)</td>
                  <td align="center">p &lt; 0,0001</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN6">
                <p>IQ: interquartil; IM: infarto do mioc&#225;rdio; BNP: pept&#237;deo natriur&#233;tico do tipo B; ECO: ecocardiograma; IMSSST: infarto do mioc&#225;rdio sem supradesnivelamento do segmento ST.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <p>Durante o seguimento de 10 anos, 85 pacientes (37,9%) morreram. A taxa de mortalidade aumentou progressivamente de acordo com os quartis de BNP (<xref ref-type="table" rid="t6">Tabela 2</xref>). Os pacientes que morreram quando comparados aos que sobreviveram eram mais idosos na ocasi&#227;o do evento-&#237;ndice SCA (79 <italic>vs</italic> 66 anos, p &lt; 0,001), apresentavam pior taxa de filtra&#231;&#227;o glomerular estimada m&#233;dia (49,1 <italic>vs</italic> 80,5 mL/min, p &lt; 0,001), apresentavam-se mais frequentemente com insufici&#234;ncia card&#237;aca na admiss&#227;o (21,2 <italic>vs</italic> 5,8%, p = 0,001), apresentavam mais frequentemente infarto do mioc&#225;rdio na admiss&#227;o (61,2 <italic>vs</italic> 39,6%, p = 0,002) e tinham n&#237;veis mais elevados de BNP na admiss&#227;o (220 vs 44,7 pg/mL, p &lt; 0,001).</p>
        </sec>
        <sec>
          <title>Acur&#225;cia progn&#243;stica dos n&#237;veis de BNP medidos na admiss&#227;o</title>
          <p>A an&#225;lise da curva ROC revelou 100 pg/mL como sendo o ponto de corte de BNP de melhor progn&#243;stico para mortalidade por todas as causas em 10 anos (&#225;rea sob a curva = 0,789, IC 95% = 0,723 - 0,854). Pacientes com BNP &#8805; 100 pg/mL apresentaram taxa de mortalidade de 65% <italic>versus</italic> 17,3% para aqueles com BNP &lt; 100 pg/mL (risco relativo = 3,76, p &lt; 0,001). Sensibilidade, especificidade e valores preditivos positivo e negativo para mortalidade foram 74,1%, 75,5%, 64,9% e 82,7%, respectivamente.</p>
          <p>A mediana da sobrevida em 10 anos, determinada pelo m&#233;todo de Kaplan-Meier, foi de 5,80 anos (intervalo IQ = 2,55-9,44) para pacientes com BNP na admiss&#227;o &#8805; 100 pg/mL <italic>versus</italic> 9,63 anos (intervalo IQ = 9,04-10,13) para aqueles com BNP &lt;100 pg/mL (p &lt; 0,0001).</p>
          <p>Na an&#225;lise multivariada <italic>stepwise</italic> de regress&#227;o log&#237;stica ajustada para todas as vari&#225;veis demogr&#225;ficas e cl&#237;nicas conhecidas como preditoras de morte card&#237;aca ou relacionadas com um n&#237;vel de BNP elevado (incluindo todas as vari&#225;veis da <xref ref-type="table" rid="t5">Tabelas 1</xref> e <xref ref-type="table" rid="t6">2</xref>), um n&#237;vel de BNP de 100 pg/mL obtido na admiss&#227;o ao setor de emerg&#234;ncia foi um preditor independente de morte em 10 anos (<xref ref-type="table" rid="t7">Tabela 3</xref>).</p>
          <table-wrap id="t7">
            <label>Tabela 3</label>
            <caption>
              <title>Preditores independentes de morte por todas as causas em 10 anos por an&#225;lise multivariada com regress&#227;o log&#237;stica em pacientes com s&#237;ndrome coronariana aguda sem supradesnivelamento do segmento ST</title>
            </caption>
            <table frame="hsides" rules="groups">
              <thead>
                <tr>
                  <th align="left" colspan="3">
                    <bold>Preditores independentes de mortalidade</bold>
                  </th>
                </tr>
                <tr>
                  <th align="left">
                    <bold>Vari&#225;veis</bold>
                  </th>
                  <th align="center">
                    <bold>OR (IC 95%)</bold>
                  </th>
                  <th align="center">
                    <bold>valor de p</bold>
                  </th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Idade &gt; 72 anos</td>
                  <td align="center">3,79 (1,62-8,86)</td>
                  <td align="center">p = 0,002</td>
                </tr>
                <tr>
                  <td>BNP &#8805; 100pg/mL</td>
                  <td align="center">6,24 (2,95-13,23)</td>
                  <td align="center">p &lt; 0,001</td>
                </tr>
                <tr>
                  <td>TFGe (para cada incremento ml/min)</td>
                  <td align="center">0,98 (0,97-0,99)</td>
                  <td align="center">p = 0,049</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN7">
                <p>BNP: pept&#237;deo natriur&#233;tico do tipo B; TFGe: taxa de filtra&#231;&#227;o glomerular estimada; IC: intervalo de confian&#231;a; OR: odds ratio.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <p>Por fim, ao usar a t&#233;cnica de IDI, a adi&#231;&#227;o de informa&#231;&#227;o sobre o BNP &#224;s vari&#225;veis tradicionais de risco melhorou a predi&#231;&#227;o e produziu um aumento no &#237;ndice de discrimina&#231;&#227;o absoluta de 3,06% para mortalidade em 10 anos (<xref ref-type="table" rid="t8">Tabela 4</xref>). A melhoria na discrimina&#231;&#227;o relativa foi 10% maior para mortalidade em 10 anos com o conhecimento e uso de informa&#231;&#227;o sobre BNP do que sem ele.</p>
          <table-wrap id="t8">
            <label>Tabela 4</label>
            <caption>
              <title>Compara&#231;&#227;o do risco m&#233;dio e melhoria da discrimina&#231;&#227;o usando o modelo tradicional de risco e o modelo com adi&#231;&#227;o do pept&#237;deo natriur&#233;tico do tipo B (BNP) para mortalidade em 10 anos entre pacientes que morreram (casos) e que sobreviveram (controles)</title>
            </caption>
            <table frame="hsides" rules="groups">
              <thead>
                <tr>
                  <th align="left">
                    <bold>Mortalidade em 10 anos</bold>
                  </th>
                  <th>
									</th>
                  <th align="center">
                    <bold>Risco m&#233;dio</bold>
                  </th>
                  <th align="center">
                    <bold>Melhoria da discrimina&#231;&#227;o</bold>
                  </th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td rowspan="2">Modelo tradicional de risco (sem BNP)</td>
                  <td align="center">Casos</td>
                  <td align="center">24,931</td>
                  <td align="center" rowspan="2">34,557</td>
                </tr>
                <tr>
                  <td align="center">Controles</td>
                  <td align="center">59,488</td>
                </tr>
                <tr>
                  <td rowspan="2">Modelo de risco com BNP</td>
                  <td align="center">Casos</td>
                  <td align="center">23,766</td>
                  <td align="center" rowspan="2">37,615</td>
                </tr>
                <tr>
                  <td align="center">Controles</td>
                  <td align="center">61,381</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN8">
                <p>Melhoria da discrimina&#231;&#227;o integrada: 37,615 &#8211; 34,557 = 3,058 (p = 0,0224)</p>
                <p>Melhoria da discrimina&#231;&#227;o relativa: 37,615/34,557 = 1,088</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec>
          <title>Escore de risco TIMI e n&#237;veis de BNP</title>
          <p>Conhecer o n&#237;vel de BNP melhorou mais a estratifica&#231;&#227;o de risco para mortalidade em 10 anos em todos os tr&#234;s n&#237;veis do escore de risco TIMI (<xref ref-type="fig" rid="f4">Figura 1</xref>). As curvas de sobrevida em 10 anos de Kaplan-Meier dos dois n&#237;veis do valor de BNP e tr&#234;s n&#237;veis do escore de risco TIMI s&#227;o mostradas nas <xref ref-type="fig" rid="f5">Figuras 2</xref> e <xref ref-type="fig" rid="f6">3</xref> e claramente revelam o desempenho progn&#243;stico discriminativo muito melhor do BNP.</p>
          <p>
            <fig id="f4">
              <label>Figura 1</label>
              <caption>
                <title>Taxas de mortalidade por todas as causas em 10 anos de pacientes com s&#237;ndrome coronariana aguda sem supradesnivelamento do segmento ST de acordo com o escore de risco TIMI (baixo = 0-2 pontos, intermedi&#225;rio = 3-4 pontos, alto = 5-7 pontos), estratificados conforme o valor de corte &#243;timo por estat&#237;stica C do pept&#237;deo natriur&#233;tico do tipo B (BNP) em pg/mL.</title>
              </caption>
              <graphic xlink:href="1678-4170-abc-106-03-0218-60021-gf01-pt.jpg"/></fig>
          </p>
          <p>
            <fig id="f5">
              <label>Figura 2</label>
              <caption>
                <title>Curvas de sobrevida de Kaplan-Meier de 224 pacientes com s&#237;ndrome coronariana aguda sem supradesnivelamento do segmento ST conforme o n&#237;vel do pept&#237;deo natriur&#233;tico do tipo B (BNP) &#224; admiss&#227;o.</title>
              </caption>
              <graphic xlink:href="1678-4170-abc-106-03-0218-60021-gf02-pt.jpg"/></fig>
          </p>
          <p>
            <fig id="f6">
              <label>Figura 3</label>
              <caption>
                <title>Curvas de sobrevida de Kaplan-Meier de 202 pacientes com s&#237;ndrome coronariana aguda sem supradesnivelamento do segmento ST conforme o escore de risco TIMI (baixo = 0-2 pontos, intermedi&#225;rio = 3-4 pontos, alto = 5-7 pontos).</title>
              </caption>
              <graphic xlink:href="1678-4170-abc-106-03-0218-60021-gf03-pt.jpg"/></fig>
          </p>
        </sec>
      </sec>
      <sec sec-type="discussion">
        <title>Discuss&#227;o</title>
        <p>V&#225;rios biomarcadores card&#237;acos foram propostos e usados nas &#250;ltimas d&#233;cadas para a estratifica&#231;&#227;o progn&#243;stica de pacientes com SCA, os mais comuns sendo os marcadores de necrose, especialmente as troponinas.<xref ref-type="bibr" rid="B4">4</xref><sup>,</sup><xref ref-type="bibr" rid="B5">5</xref><sup>,</sup><xref ref-type="bibr" rid="B15">15</xref><sup>,</sup><xref ref-type="bibr" rid="B16">16</xref>
				</p>
        <p>Desde o ano 2000, a avalia&#231;&#227;o de risco imediato e de curto prazo de desfechos cardiovasculares em pacientes com SCA vem sendo feita com os escores de risco TIMI<xref ref-type="bibr" rid="B1">1</xref> e GRACE<xref ref-type="bibr" rid="B17">17</xref>, cujo c&#225;lculo &#224; beira do leito &#233; relativamente f&#225;cil. &#201; importante lembrar que o escore de risco TIMI foi originalmente testado para seguimento de 14 dias; entretanto, v&#225;rios autores extrapolaram seu uso para per&#237;odos mais longos.<xref ref-type="bibr" rid="B18">18</xref><sup>-</sup><xref ref-type="bibr" rid="B20">20</xref> Infelizmente esses agregados de fatores de risco n&#227;o apresentam boa acur&#225;cia para o seguimento de 1 ano, como avaliado pela estat&#237;stica C de 0,58<xref ref-type="bibr" rid="B18">18</xref> a 0,69<xref ref-type="bibr" rid="B19">19</xref> para o TIMI e de 0,71<xref ref-type="bibr" rid="B18">18</xref> a 0,79<xref ref-type="bibr" rid="B19">19</xref> para o GRACE. Isso incentivou a busca por novos e mais precisos marcadores de predi&#231;&#227;o de mortalidade.<xref ref-type="bibr" rid="B10">10</xref><sup>,</sup><xref ref-type="bibr" rid="B21">21</xref><sup>-</sup><xref ref-type="bibr" rid="B25">25</xref>
				</p>
        <p>A princ&#237;pio, descobriu-se que o BNP era um marcador bioqu&#237;mico muito precoce e preciso de disfun&#231;&#227;o contr&#225;til card&#237;aca aguda,<xref ref-type="bibr" rid="B26">26</xref><sup>-</sup><xref ref-type="bibr" rid="B28">28</xref> tendo sido exaustivamente estudado em pacientes com isquemia mioc&#225;rdica e infarto.<xref ref-type="bibr" rid="B29">29</xref><sup>-</sup><xref ref-type="bibr" rid="B31">31</xref> Sua concentra&#231;&#227;o sangu&#237;nea aumenta de maneira imediata e r&#225;pida ap&#243;s o in&#237;cio da hip&#243;xia card&#237;aca, correlacionando-se de forma direta com a extens&#227;o da isquemia mioc&#225;rdica.<xref ref-type="bibr" rid="B11">11</xref><sup>,</sup><xref ref-type="bibr" rid="B32">32</xref><sup>,</sup><xref ref-type="bibr" rid="B33">33</xref> Mais recentemente, descobriu-se ser o BNP um excelente marcador progn&#243;stico de desfecho card&#237;aco em pacientes com SCA.<xref ref-type="bibr" rid="B6">6</xref><sup>,</sup><xref ref-type="bibr" rid="B8">8</xref><sup>,</sup><xref ref-type="bibr" rid="B9">9</xref><sup>,</sup><xref ref-type="bibr" rid="B34">34</xref><sup>-</sup><xref ref-type="bibr" rid="B38">38</xref> No entanto, na maioria desses estudos, o seguimento foi de 1 ano, e, em poucos deles, de at&#233; 4 anos.<xref ref-type="bibr" rid="B36">36</xref><sup>,</sup><xref ref-type="bibr" rid="B39">39</xref><sup>-</sup><xref ref-type="bibr" rid="B40">40</xref>
				</p>
        <p>O presente estudo &#233; o primeiro a demonstrar que o BNP medido na chegada ao setor de emerg&#234;ncia &#233; um marcador forte e independente de morte por todas as causas em pacientes com SCASSST at&#233; 10 anos ap&#243;s o evento &#237;ndice, mesmo quando comparado ao escore de risco TIMI. A popula&#231;&#227;o deste estudo vem de uma s&#233;rie consecutiva de portadores de dor tor&#225;cica aguda atendidos no setor de emerg&#234;ncia, para os quais utilizou-se um protocolo diagn&#243;stico sistem&#225;tico, cuidadoso e abrangente de isquemia card&#237;aca, incluindo a medida seriada de marcadores de necrose mioc&#225;rdica e ECG, al&#233;m de uma &#250;nica amostra de BNP obtida na admiss&#227;o. A conduta foi deixada a crit&#233;rio dos m&#233;dicos assistentes privados, mas a maioria dos pacientes com SCA foi submetida a angiografia coronariana e revasculariza&#231;&#227;o, se necess&#225;ria.</p>
        <p>Descobriu-se que o BNP permanece um forte marcador independente de morte por todas as causas em longo prazo na amostra deste estudo sobre SCASSST. O BNP tamb&#233;m apresentou poder discriminat&#243;rio, fornecendo significativa informa&#231;&#227;o progn&#243;stica al&#233;m das tradicionais vari&#225;veis de risco para mortalidade em 10 anos, como visto na estat&#237;stica C. Isso foi confirmado pelo uso da ferramenta de IDI, que avalia a diferen&#231;a absoluta entre as taxas de desfecho previsto e observado, representando assim a efici&#234;ncia do modelo preditivo e permitindo a compara&#231;&#227;o de dois modelos. Para a mortalidade em 10 anos, a IDI melhorou significativamente a discrimina&#231;&#227;o do desfecho quando o BNP foi usado no modelo em compara&#231;&#227;o a quando n&#227;o foi (<xref ref-type="table" rid="t8">Tabela 4</xref>), permitindo que mais um paciente obtivesse uma correta classifica&#231;&#227;o de desfecho em um grupo de 33 indiv&#237;duos.</p>
        <p>O BNP adicionou significativa informa&#231;&#227;o progn&#243;stica ao escore de risco TIMI desses pacientes, identificando subgrupos de risco mais baixo e mais alto (<xref ref-type="fig" rid="f4">Figura 1</xref>). Achados semelhantes foram previamente demonstrados em estudo com seguimento de 6 meses por Bazzino et al.<xref ref-type="bibr" rid="B6">6</xref> Ao contr&#225;rio do BNP, o escore de risco TIMI por si s&#243; n&#227;o p&#244;de estratificar com precis&#227;o pacientes para mortalidade a longo prazo no nosso estudo (<xref ref-type="fig" rid="f6">Figura 3</xref>).</p>
        <p>O motivo pelo qual o BNP medido em um epis&#243;dio-&#237;ndice de SCA permanece como um fator de risco para mortalidade por todas as causas em at&#233; 10 anos &#233; assunto de discuss&#227;o. Como os n&#237;veis sangu&#237;neos de BNP n&#227;o s&#227;o particularmente preditivos de infarto do mioc&#225;rdio recorrente fatal e n&#227;o fatal,<xref ref-type="bibr" rid="B6">6</xref><sup>,</sup><xref ref-type="bibr" rid="B41">41</xref> parece improv&#225;vel que a mortalidade tardia possa ser explicada por um novo epis&#243;dio de SCA. Pode-se especular que sua eleva&#231;&#227;o represente a soma de dois marcadores progn&#243;sticos bem conhecidos de doen&#231;a arterial coronariana, isso &#233;, presen&#231;a e extens&#227;o de isquemia e disfun&#231;&#227;o ventricular esquerda.<xref ref-type="bibr" rid="B7">7</xref><sup>,</sup><xref ref-type="bibr" rid="B42">42</xref><sup>,</sup><xref ref-type="bibr" rid="B43">43</xref> Os achados deste estudo podem ajudar na decis&#227;o da estrat&#233;gia de tratamento, pois alguns autores sugeriram que interven&#231;&#245;es de tratamento guiadas pelo BNP podem melhorar a mortalidade ap&#243;s SCA.<xref ref-type="bibr" rid="B44">44</xref><sup>,</sup><xref ref-type="bibr" rid="B45">45</xref>
				</p>
        <sec>
          <title>Limita&#231;&#245;es do estudo</title>
          <p>A amostra do presente estudo &#233; relativamente pequena em compara&#231;&#227;o &#224;s de outros estudos multic&#234;ntricos, al&#233;m de originar-se em uma &#250;nica institui&#231;&#227;o privada com foco em cardiologia. Este estudo n&#227;o avalia o poss&#237;vel valor de medidas seriadas de BNP. O teste de troponina usado nestes pacientes &#233; de uma gera&#231;&#227;o mais antiga (n&#227;o 'ultra sens&#237;vel'), ainda que usado em muitas institui&#231;&#245;es pelo mundo afora. &#201; importante lembrar que os crit&#233;rios bioqu&#237;micos de diagn&#243;stico de infarto do mioc&#225;rdio mudaram pelo menos duas vezes na &#250;ltima d&#233;cada.<xref ref-type="bibr" rid="B46">46</xref><sup>,</sup><xref ref-type="bibr" rid="B47">47</xref>
					</p>
        </sec>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclus&#245;es</title>
        <p>A medida do BNP na admiss&#227;o hospitalar em pacientes com SCASSST permanece um forte preditor independente de mortalidade por todas as causas em muito longo prazo, corroborando sua excelente capacidade para estratifica&#231;&#227;o de risco relatada em estudos com seguimento curto e m&#233;dio. Este estudo permite que se levante a hip&#243;tese de que o BNP deva ser medido em todos os pacientes com SCASSST no evento-&#237;ndice para estratifica&#231;&#227;o de risco a longo prazo.</p>
      </sec>
    </body>
    <back>
      <ack>
        <title>Agradecimentos</title>
        <p>Este estudo foi parcialmente financiado pelo Hospital Pr&#243;-Card&#237;aco, Rio de Janeiro, Brasil, onde todos os dados foram coletados. Este artigo &#233; parte da disserta&#231;&#227;o de Mestrado em Ci&#234;ncias, Cadeira de Cardiologia, de Fernando Bassan, Faculdade de Ci&#234;ncias M&#233;dicas, Universidade do Estado do Rio de Janeiro, Brasil.</p>
      </ack>
      <fn-group>
        <fn fn-type="supported-by">
          <p>
            <bold>Fontes de financiamento</bold>
          </p>
          <p>O presente estudo n&#227;o teve fontes de financiamento externas.</p>
        </fn>
      </fn-group>
    </back>
  </sub-article>
</article>
