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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">vhrdJC5JB9WmrdfbBG4bSqR</article-id>
      <article-id pub-id-type="other">00466</article-id>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v2">S0066-782X2021000400466</article-id>
      <article-id pub-id-type="publisher-id" specific-use="previous-pid">S0066-782X2021005004201</article-id>
      <article-id pub-id-type="publisher-id">abc.20200045</article-id>
      <article-id pub-id-type="doi">10.36660/abc.20200045</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigo Original</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>O Escore Gensini e a Carga Tromb&#243;tica Adicionam Valor Preditivo ao Escore SYNTAX na Detec&#231;&#227;o de No-Reflow ap&#243;s Infarto do Mioc&#225;rdio</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-9835-1906</contrib-id>
          <name>
            <surname>Matos</surname>
            <given-names>Lu&#237;s Carlos V</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff5">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Carvalho</surname>
            <given-names>Luiz Sergio</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="aff5">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Modolo</surname>
            <given-names>Rodrigo</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Santos</surname>
            <given-names>Simone</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
          <xref ref-type="aff" rid="aff4">
            <sup>4</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Silva</surname>
            <given-names>Jos&#233; Carlos Quinaglia e</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff5">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-8488-7662</contrib-id>
          <name>
            <surname>Almeida</surname>
            <given-names>Os&#243;rio Luis Rangel de</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff5">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-7127-2052</contrib-id>
          <name>
            <surname>Sposito</surname>
            <given-names>Andrei C.</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution content-type="orgname">Escola Superior de Ci&#234;ncias da Sa&#250;de</institution>
        <addr-line>
          <named-content content-type="city">Bras&#237;lia</named-content>
          <named-content content-type="state">DF</named-content>
        </addr-line>
        <country country="BR">Brasil</country>
        <institution content-type="original">Escola Superior de Ci&#234;ncias da Sa&#250;de,Bras&#237;lia, DF - Brasil</institution>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution content-type="orgname">Universidade Estadual de Campinas</institution>
        <addr-line>
          <named-content content-type="city">Campinas</named-content>
          <named-content content-type="state">SP</named-content>
        </addr-line>
        <country country="BR">Brasil</country>
        <institution content-type="original">Universidade Estadual de Campinas,Campinas, SP - Brasil</institution>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution content-type="orgname">Hospital Bras&#237;lia</institution>
        <addr-line>
          <named-content content-type="city">Bras&#237;lia</named-content>
          <named-content content-type="state">DF</named-content>
        </addr-line>
        <country country="BR">Brasil</country>
        <institution content-type="original">Hospital Bras&#237;lia &#8211; Ecocardiografia,Bras&#237;lia, DF - Brasil</institution>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution content-type="orgname">Eccos Diagn&#243;stico Cardiovascular Avan&#231;ado</institution>
        <addr-line>
          <named-content content-type="city">Bras&#237;lia</named-content>
          <named-content content-type="state">DF</named-content>
        </addr-line>
        <country country="BR">Brasil</country>
        <institution content-type="original">Eccos Diagn&#243;stico Cardiovascular Avan&#231;ado,Bras&#237;lia, DF - Brasil</institution>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution content-type="orgdiv1">Hospital de Base do Distrito Federal</institution>
        <institution content-type="orgname">IGESDF</institution>
        <addr-line>
          <named-content content-type="city">Bras&#237;lia</named-content>
          <named-content content-type="state">DF</named-content>
        </addr-line>
        <country country="BR">Brasil</country>
        <institution content-type="original">Hospital de Base do Distrito Federal - IGESDF,Bras&#237;lia, DF - Brasil</institution>
      </aff>
      <author-notes>
        <corresp id="c01"><bold>Correspond&#234;ncia: Andrei C. Sposito.</bold> Universidade de Campinas (UNICAMP), S&#227;o Paulo, SP - Brasil. E-mail: <email>andreisposito@gmail.com</email>
				</corresp>
        <fn fn-type="con">
          <p>Contribui&#231;&#227;o dos autores</p>
          <p>Concep&#231;&#227;o e desenho da pesquisa, Obten&#231;&#227;o de dados, An&#225;lise e interpreta&#231;&#227;o dos dados e Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante: Matos L, Carvalho LS, Modolo R, Santos S, Silva JCQ, Almeida OLR, Sposito AC; An&#225;lise estat&#237;stica: Matos L, Carvalho LS, Modolo R, Sposito AC; Obten&#231;&#227;o de financiamento: Silva JCQ, Almeida OLR, Sposito AC; Reda&#231;&#227;o do manuscrito: Matos L, Carvalho LS, Sposito AC.</p>
        </fn>
        <fn fn-type="conflict">
          <p>Potencial conflito de interesses</p>
          <p>Declaro n&#227;o haver conflito de interesses pertinentes.</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>26</day>
        <month>02</month>
        <year>2021</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <month>03</month>
        <year>2021</year>
      </pub-date>
      <volume>116</volume>
      <issue>3</issue>
      <fpage>466</fpage>
      <lpage>472</lpage>
      <history>
        <date date-type="received">
          <day>17</day>
          <month>01</month>
          <year>2020</year>
        </date>
        <date date-type="rev-recd">
          <day>02</day>
          <month>06</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>16</day>
          <month>06</month>
          <year>2020</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <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>Resumo</title>
        <sec>
          <title>Fundamento</title>
          <p> O fen&#244;meno de <italic>no-reflow</italic> ap&#243;s a interven&#231;&#227;o coron&#225;ria percut&#226;nea est&#225; associado a um pior progn&#243;stico em pacientes com infarto do mioc&#225;rdio com supradesnivelamento do segmento ST (IAMCSST). O escore SYNTAX &#233; um bom preditor de <italic>no-reflow</italic>.</p>
        </sec>
        <sec>
          <title>Objetivo</title>
          <p> Nosso objetivo foi avaliar se a carga ateroscler&#243;tica (escore Gensini) e a carga tromb&#243;tica na art&#233;ria coron&#225;ria culpada melhorariam a capacidade do escore SYNTAX para detectar o <italic>no-reflow</italic>.</p>
        </sec>
        <sec>
          <title>M&#233;todos</title>
          <p> Neste estudo coorte prospectivo, foram estudados pacientes com IAMCSST consecutivos que se apresentaram dentro de 12 horas a partir do in&#237;cio dos sintomas. O no-reflow foi definido como fluxo TIMI &lt; 3 ou fluxo TIMI =3 mas grau de blush mioc&#225;rdico (<italic>myocardial blush grade</italic>) &lt; 2. A carga tromb&#243;tica foi quantificada de acordo com o grau TIMI de trombo (0 a 5).</p>
        </sec>
        <sec>
          <title>Resultados</title>
          <p> Foram inclu&#237;dos 481 pacientes no estudo, com idade m&#233;dia de 61&#177;11 anos. O fen&#244;meno de no-reflow ocorreu em 32,8% dos pacientes. O escore SYNTAX (OR=1,05, IC95% 1,01&#8211;1,08, p&lt;0,01), a carga tromb&#243;tica (OR=1,17, IC95% 1,06&#8211;1,31, p&lt;0,01), e o escore Gensini (OR=1,37, IC95% 1,13&#8211;1,65, p&lt;0,01) foram preditores independentes do no-reflow. Os escores combinados apresentaram uma maior &#225;rea sob a curva quando comparados ao escore SYNTAX isolado (0,78 [0,73&#8211;0,82] vs 0,73 [0,68&#8211;0,78], p=0,03). A an&#225;lise da melhora da reclassifica&#231;&#227;o l&#237;quida (NRI) categ&#243;rica (0,11 [0,01&#8211;0,22], p=0,02) e cont&#237;nua (NRI&gt;0) (0,54 [0,035&#8211;0,73], p&lt;0.001) mostrou melhora na capacidade preditiva do no-reflow no modelo combinado, com melhora da discrimina&#231;&#227;o integrada (IDI) de 0,07 (0,04&#8211;0,09, p&lt;0,001).</p>
        </sec>
        <sec>
          <title>Conclus&#245;es</title>
          <p> Nossos achados sugerem que, em pacientes com IAMCSST submetidos &#224; interven&#231;&#227;o coron&#225;ria percut&#226;nea, a carga ateroscler&#243;tica e a carga tromb&#243;tica na art&#233;ria culpada adicionam valor preditivo ao escore SYNTAX na detec&#231;&#227;o do fen&#244;meno no-reflow. (Arq Bras Cardiol. 2021; [online].ahead print, PP.0-0)</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="pt">
        <kwd>Interven&#231;&#227;o Coron&#225;ria Percut&#226;nea/m&#233;todos</kwd>
        <kwd>Infarto do Mioc&#225;rdio</kwd>
        <kwd>Aterosclerose</kwd>
        <kwd>Trombose</kwd>
        <kwd>Placa Ateroscler&#243;tica</kwd>
        <kwd>Emboliza&#231;&#227;o Terap&#234;utica</kwd>
      </kwd-group>
      <counts>
        <fig-count count="2"/>
        <table-count count="10"/>
        <equation-count count="0"/>
        <ref-count count="33"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>A interven&#231;&#227;o coron&#225;ria percut&#226;nea (ICP) &#233; o m&#233;todo de reperfus&#227;o de escolha para infarto do mioc&#225;rdio com supradesnivelamento do segmento ST (IAMCSST).<sup><xref ref-type="bibr" rid="B1">1</xref></sup> Al&#233;m de recuperar a pat&#234;ncia do l&#250;men arterial, o objetivo dessa interven&#231;&#227;o &#233; promover o fluxo sangu&#237;neo na microcircula&#231;&#227;o coron&#225;ria.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> Contudo, um em cada tr&#234;s pacientes permanece com o fluxo microvascular reduzido apesar da restaura&#231;&#227;o da pat&#234;ncia da art&#233;ria coron&#225;ria epic&#225;rdica. Esse fen&#244;meno &#233; conhecido como &#8220;no-reflow&#8221; (NR)<sup><xref ref-type="bibr" rid="B2">2</xref>,<xref ref-type="bibr" rid="B3">3</xref></sup> O NR est&#225; associado a uma maior incid&#234;ncia de insufici&#234;ncia card&#237;aca, choque cardiog&#234;nico, e morte.<sup><xref ref-type="bibr" rid="B3">3</xref>-<xref ref-type="bibr" rid="B5">5</xref></sup></p>
      <p>Um n&#250;mero consider&#225;vel de marcadores de obstru&#231;&#227;o microvascular j&#225; foi descrito, particularmente idade e tempo de reperfus&#227;o.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref></sup> Mais recentemente, foi demonstrado que a complexidade anat&#244;mica para ICP, estimada pelo escore SYNTAX, tamb&#233;m pode estar relacionada com um maior risco de NR.<sup><xref ref-type="bibr" rid="B8">8</xref>-<xref ref-type="bibr" rid="B10">10</xref></sup> Uma vez que a ocorr&#234;ncia de NR &#233; maior que a desses marcadores, &#233; poss&#237;vel que existam outros marcadores de import&#226;ncia cl&#237;nica. Neste contexto, &#233; plaus&#237;vel a hip&#243;tese de que a carga ateroscler&#243;tica e tromb&#243;tica adicione valor preditivo ao escore SYNTAX, idade, e tempo de reperfus&#227;o na predi&#231;&#227;o de NR. O presente estudo teve como objetivo testar essa hip&#243;tese.</p>
    </sec>
    <sec sec-type="methods">
      <title>M&#233;todos</title>
      <sec>
        <title>Sele&#231;&#227;o da amostra</title>
        <p>Este estudo baseou-se em uma suban&#225;lise do Brasilia Heart Study (BHS), cujo delineamento foi descrito previamente.<sup><xref ref-type="bibr" rid="B11">11</xref></sup> Em resumo, o BHS &#233; um estudo coorte, prospectivo, unic&#234;ntrico, de pacientes consecutivos com IAMCSST que se apresentaram nas primeiras 24 horas desde o in&#237;cio dos sintomas. IAMCSST foi definido segundo os crit&#233;rios: 1) eleva&#231;&#227;o do segmento ST em pelo menos 1 mm no plano frontal ou 2 mm no plano horizontal em duas deriva&#231;&#245;es cont&#237;guas, ou novo bloqueio de ramo esquerdo pelo eletrocardiograma; 2) resultado positivo para o marcador de necrose mioc&#225;rdica, definido como CK-MB&gt;25 U/L, correspondendo a valores acima do percentil 99. Pacientes submetidos &#224; ICP nas primeiras 12 horas do IAMCSST foram considerados eleg&#237;veis para o estudo. Os participantes assinaram um termo de consentimento e o estudo foi aprovado por um comit&#234; de &#233;tica em pesquisa da institui&#231;&#227;o. Todos os procedimentos estavam de acordo com os padr&#245;es &#233;ticos do comit&#234; institucional para pesquisa envolvendo humanos e com a declara&#231;&#227;o de Helsinki de 1964 e suas &#250;ltimas revis&#245;es, ou padr&#245;es &#233;ticos compar&#225;veis.</p>
      </sec>
      <sec>
        <title>An&#225;lise angiogr&#225;fica</title>
        <p>Todos os angiogramas foram revisados por dois cardiologistas intervencionistas experientes, que interpretaram as imagens de maneira independente, e avaliaram os seguintes par&#226;metros: fluxo coron&#225;rio: fluxo TIMI;<sup><xref ref-type="bibr" rid="B12">12</xref></sup> 2) perfus&#227;o mioc&#225;rdica: <italic>myocardial blush grade</italic> (MBG);<sup><xref ref-type="bibr" rid="B13">13</xref></sup> 3) carga tromb&#243;tica: escala de trombos TIMI;<sup><xref ref-type="bibr" rid="B14">14</xref></sup> 4) escore angiogr&#225;fico SYNTAX,<sup><xref ref-type="bibr" rid="B8">8</xref></sup> e o escore Gensini modificado.<sup><xref ref-type="bibr" rid="B15">15</xref></sup> Os escores foram obtidos dos angiogramas de diagn&#243;stico antes de qualquer interven&#231;&#227;o. Os dois cardiologistas entraram em consenso nas interpreta&#231;&#245;es dos achados, com variabilidade intraobservador e entre observador de 5%.</p>
        <p>NR foi definido como um fluxo TIMI &lt; 3 ou TIMI = 3 mas MBG&lt;2 na angiografia coron&#225;ria realizada ap&#243;s ICP da art&#233;ria relacionada ao IAMCSST.</p>
      </sec>
      <sec>
        <title>An&#225;lise estat&#237;stica</title>
        <p>Os dados quantitativos foram expressos em m&#233;dia e desvio padr&#227;o. Os grupos foram comparados pelo teste t de Student para vari&#225;veis cont&#237;nuas param&#233;tricas ou o teste de Mann-Whitney para vari&#225;veis cont&#237;nuas n&#227;o param&#233;tricas, e pelo teste qui-quadrado para vari&#225;veis categ&#243;ricas. Regress&#227;o log&#237;stica bin&#225;ria foi usada para determinar preditores do fen&#244;meno NR ap&#243;s reperfus&#227;o em modelo n&#227;o ajustado (modelo 1) e ajustado (modelo 2) para escore GRACE e tempo de reperfus&#227;o (per&#237;odo entre in&#237;cio de sintomas e reperfus&#227;o) ap&#243;s reperfus&#227;o. An&#225;lise da curva caracter&#237;stica de opera&#231;&#227;o do receptor (curva ROC) foi realizada para determinar a capacidade preditiva dos modelos. A melhora da reclassifica&#231;&#227;o l&#237;quida (NRI) e a melhora da discrimina&#231;&#227;o integrada (IDI) foram usadas para determinar melhoras obtidas com a adi&#231;&#227;o de novos preditores. An&#225;lise estat&#237;stica foi realizada usando o programa SPSS para Mac, vers&#227;o 23.0, e o programa R para Mac vers&#227;o 3.4.2. Um valor de p &lt; 0,05 foi considerado estatisticamente significativo.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <p>Um total de 481 pacientes submetidos &#224; ICP na fase aguda do IAMCSST foi inclu&#237;do no estudo. A idade m&#233;dia dos pacientes foi 61 &#177; 11 anos, e 74,6% eram homens, 58,0% hipertensos, 54,2% sedent&#225;rios, 38,0% fumantes, e 30,7% diab&#233;ticos. O fen&#244;meno de NR ocorreu em 32,8% dos pacientes (n=158), os quais foram comparados com aqueles que apresentaram &#243;tima reperfus&#227;o (n=323). Caracter&#237;sticas cl&#237;nicas e bioqu&#237;micas de ambos os grupos s&#227;o descritas na <xref ref-type="table" rid="t1">Tabela 1</xref>.</p>
      <p>
        <table-wrap id="t1">
          <label>Tabela 1</label>
          <caption>
            <title>&#8211; Caracter&#237;sticas cl&#237;nicas e bioqu&#237;micas de 481 pacientes submetidos &#224; interven&#231;&#227;o coron&#225;ria percut&#226;nea por infarto do mioc&#225;rdio com supradesnivelamento do segmento ST que apresentaram reperfus&#227;o adequada ou aus&#234;ncia de reperfus&#227;o (fen&#244;meno no-reflow) ap&#243;s o procedimento</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="20%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left" rowspan="2">Vari&#225;veis param&#233;tricas</th>
                <th>Total (n = 481)</th>
                <th>Reperfus&#227;o adequada (n = 323)</th>
                <th>No-reflow (n = 158)</th>
                <th rowspan="2">Valor p<sup>*</sup></th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="center">
                  <bold>m&#233;dia &#177; DP</bold>
                </td>
                <td align="center">
                  <bold>m&#233;dia &#177; DP</bold>
                </td>
                <td align="center">
                  <bold>m&#233;dia &#177; DP</bold>
                </td>
              </tr>
              <tr>
                <td>Idade (anos)</td>
                <td align="center">61&#177;11</td>
                <td align="center">61&#177;11</td>
                <td align="center">61&#177;12</td>
                <td align="center">0,64</td>
              </tr>
              <tr>
                <td>IMC (kg.m-2)</td>
                <td align="center">27,0&#177;4,2</td>
                <td align="center">26,8&#177;3,9</td>
                <td align="center">27,3&#177;4,7</td>
                <td align="center">0,32</td>
              </tr>
              <tr>
                <td>GRACE na admiss&#227;o hospitalar</td>
                <td align="center">136&#177;26</td>
                <td align="center">135&#177;27</td>
                <td align="center">137&#177;24</td>
                <td align="center">0,46</td>
              </tr>
              <tr>
                <td>Colesterol total no primeiro dia (mg.mL<sup>-1</sup>)</td>
                <td align="center">192&#177;48</td>
                <td align="center">192&#177;45</td>
                <td align="center">191&#177;53</td>
                <td align="center">0,83</td>
              </tr>
              <tr>
                <td>HDL-c no primeiro dia (mg.mL<sup>-1</sup>)</td>
                <td align="center">40&#177;11</td>
                <td align="center">38&#177;10</td>
                <td align="center">38&#177;11</td>
                <td align="center">0,63</td>
              </tr>
              <tr>
                <td>HbA1c (%)</td>
                <td align="center">6,5&#177;1,8</td>
                <td align="center">6,5&#177;1,8</td>
                <td align="center">6,4&#177;1,7</td>
                <td align="center">0,64</td>
              </tr>
              <tr>
                <td>
                  <bold>Vari&#225;veis n&#227;o param&#233;tricas</bold>
                </td>
                <td align="center">
                  <bold>Mediana (Q1 - Q3)</bold>
                </td>
                <td align="center">
                  <bold>Mediana (Q1 - Q3)</bold>
                </td>
                <td align="center">
                  <bold>Mediana (Q1 - Q3)</bold>
                </td>
                <td align="center">
                  <bold>Valor p<sup>&#8224;</sup></bold>
                </td>
              </tr>
              <tr>
                <td>Tempo de reperfus&#227;o</td>
                <td align="center">111 (60 - 210)</td>
                <td align="center">96 (60 - 206)</td>
                <td align="center">120 (60 - 239)</td>
                <td align="center">0,42</td>
              </tr>
              <tr>
                <td>LDL-c no primeiro dia (mg.mL<sup>-1</sup>)</td>
                <td align="center">117 (93 - 143)</td>
                <td align="center">117 (97 - 145)</td>
                <td align="center">118 (94 - 141)</td>
                <td align="center">0,50</td>
              </tr>
              <tr>
                <td>Triglicer&#237;deos no primeiro dia (mg.mL<sup>-1</sup>)</td>
                <td align="center">134 (87 - 207)</td>
                <td align="center">135 (90 - 215)</td>
                <td align="center">133 (84 - 195)</td>
                <td align="center">0,11</td>
              </tr>
              <tr>
                <td>
                  <bold>Vari&#225;veis categ&#243;ricas</bold>
                </td>
                <td align="center">
                  <bold>&#402; (%)</bold>
                </td>
                <td align="center">
                  <bold>&#402; (%)</bold>
                </td>
                <td align="center">
                  <bold>&#402; (%)</bold>
                </td>
                <td align="center">
                  <bold>Valor p<sup>&#450;</sup></bold>
                </td>
              </tr>
              <tr>
                <td>Homens, n (%)</td>
                <td align="center">359 (75)</td>
                <td align="center">235 (73)</td>
                <td align="center">124 (78)</td>
                <td align="center">0,34</td>
              </tr>
              <tr>
                <td>DM, n (%)</td>
                <td align="center">148 (31)</td>
                <td align="center">94 (29)</td>
                <td align="center">54 (34)</td>
                <td align="center">0,34</td>
              </tr>
              <tr>
                <td>Hipertens&#227;o, n (%)</td>
                <td align="center">279 (58)</td>
                <td align="center">187 (58)</td>
                <td align="center">92 (58)</td>
                <td align="center">0,97</td>
              </tr>
              <tr>
                <td>Acidente vascular cerebral, n (%)</td>
                <td align="center">21 (4)</td>
                <td align="center">11 (3)</td>
                <td align="center">10 (6)</td>
                <td align="center">0,24</td>
              </tr>
              <tr>
                <td>Tabagismo, n (%)</td>
                <td align="center">183 (38)</td>
                <td align="center">127 (39)</td>
                <td align="center">56 (35)</td>
                <td align="center">0,35</td>
              </tr>
              <tr>
                <td>Sedentarismo, n (%)</td>
                <td align="center">261 (54)</td>
                <td align="center">179 (55)</td>
                <td align="center">82 (52)</td>
                <td align="center">0,37</td>
              </tr>
              <tr>
                <td>ICP previa, n (%)</td>
                <td align="center">26 (5)</td>
                <td align="center">15 (5)</td>
                <td align="center">11 (7)</td>
                <td align="center">0,35</td>
              </tr>
              <tr>
                <td>CABG, n (%)</td>
                <td align="center">4 (0,8)</td>
                <td align="center">3 (0,9)</td>
                <td align="center">1 (0,6)</td>
                <td align="center">0,86</td>
              </tr>
              <tr>
                <td>Killip &gt;1, n (%)</td>
                <td align="center">52 (11)</td>
                <td align="center">31 (10)</td>
                <td align="center">21 (13,2)</td>
                <td align="center">0,44</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN1">
              <p>
                <italic>DP: desvio padr&#227;o; Q1: primeiro quartil; Q3: terceiro quartil. CABG: coronary artery bypass grafting; GRACE: Global Registry of Acute Coronary Eventos; DM: diabetes mellitus tipo 2; ICP: interven&#231;&#227;o coron&#225;ria percut&#226;nea; IMC: &#237;ndice de massa corporal; HbA1C, hemoglobina glicada; LDL, lipoprote&#237;na de baixa densidade; HDL, lipoprote&#237;na de alta densidade. * teste t de Student n&#227;o pareado; &#8224; teste Mann-Whitney n&#227;o param&#233;trico; &#450; teste qui-quadrado.</italic>
              </p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>O escore Gensini, o escore Gensini da art&#233;ria culpada, o escore SYNTAX, e a carga tromb&#243;tica foram significativamente maiores no grupo NR que no grupo com reperfus&#227;o adequada (<xref ref-type="table" rid="t2">Tabela 2</xref>). Ambos os modelos de regress&#227;o log&#237;stica (ajustado e n&#227;o ajustado) mostraram que o escore SYNTAX, o escore Gensini, e a carga tromb&#243;tica foram preditores independentes do NR (<xref ref-type="table" rid="t3">Tabela 3</xref>). A an&#225;lise da curva ROC mostrou que os modelos com escores combinados apresentaram maior &#225;rea sob a curva ROC que o modelo que apresentava somente o escore SYNTAX [0,778 (0,733 &#8211; 0,823) vs. 0.737 (0,688 &#8211; 0,786)] (<xref ref-type="fig" rid="f01">Figura 1</xref>).</p>
      <p>
        <table-wrap id="t2">
          <label>Tabela 2</label>
          <caption>
            <title>&#8211; Par&#226;metros angiogr&#225;ficos de 481 pacientes submetidos &#224; interven&#231;&#227;o coron&#225;ria percut&#226;nea por infarto do mioc&#225;rdio com supradesnivelamento do segmento ST</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="20%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">Par&#226;metros</th>
                <th>n = 481</th>
                <th>Reperfus&#227;o adequada n = 323</th>
                <th>No-reflow n = 158</th>
                <th>p</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Escore Gensini</td>
                <td align="center">100&#177;70</td>
                <td align="center">82&#177;62</td>
                <td align="center">139&#177;69</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>Escore Gensini &#8211; art&#233;ria culpada</td>
                <td align="center">62&#177;49</td>
                <td align="center">48&#177;38</td>
                <td align="center">87&#177;56</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>Escore SYNTAX</td>
                <td align="center">12&#177;10</td>
                <td align="center">9&#177;8</td>
                <td align="center">17&#177;10</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>Carga tromb&#243;tica &#8211; art&#233;ria culpada, n (%)</td>
                <td align="center">181 (37,6)</td>
                <td align="center">89 (27,5)</td>
                <td align="center">92 (58,2)</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>Escala TIMI de trombo, n (%)</td>
                <td>
								</td>
                <td>
								</td>
                <td>
								</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>0</td>
                <td align="center">300 (63)</td>
                <td align="center">234 (72)</td>
                <td align="center">66 (42)</td>
                <td>
								</td>
              </tr>
              <tr>
                <td>1</td>
                <td align="center">9 (1,9)</td>
                <td align="center">8 (2,5)</td>
                <td align="center">1 (0,6)</td>
                <td>
								</td>
              </tr>
              <tr>
                <td>2</td>
                <td align="center">21 (4,4)</td>
                <td align="center">13 (4)</td>
                <td align="center">8 (5)</td>
                <td>
								</td>
              </tr>
              <tr>
                <td>3</td>
                <td align="center">18 (3,7)</td>
                <td align="center">14 (4,3)</td>
                <td align="center">4 (2,5)</td>
                <td>
								</td>
              </tr>
              <tr>
                <td>4</td>
                <td align="center">18 (3,7)</td>
                <td align="center">11 (3,4)</td>
                <td align="center">7 (4,4)</td>
                <td>
								</td>
              </tr>
              <tr>
                <td>5</td>
                <td align="center">115 (24)</td>
                <td align="center">43 (13,3)</td>
                <td align="center">72 (46)</td>
                <td>
								</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN2">
              <p>
                <italic>Valores expressos em m&#233;dia &#177; desvio padr&#227;o; TIMI: thrombolysis in myocardial infarction.</italic>
              </p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>
        <table-wrap id="t3">
          <label>Tabela 3</label>
          <caption>
            <title>&#8211; Modelo de regress&#227;o log&#237;stica dos escores SYNTAX, Gensini, e carga tromb&#243;tica como preditores do fen&#244;meno de no-reflow</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="33%">
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">Modelos</th>
                <th>OR (IC95%)</th>
                <th>p</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>
                  <bold>Modelo 1 (n&#227;o ajustado)</bold>
                </td>
                <td>
								</td>
                <td>
								</td>
              </tr>
              <tr>
                <td>Idade</td>
                <td align="center">1,02 (1,00-1,03</td>
                <td align="center">0,037</td>
              </tr>
              <tr>
                <td>Tempo de reperfus&#227;o</td>
                <td align="center">1,00 (1,00-1,01)</td>
                <td align="center">0,154</td>
              </tr>
              <tr>
                <td>Escore SYNTAX</td>
                <td align="center">1,10 (1,07-1,12)</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>Carga tromb&#243;tica</td>
                <td align="center">1,38 (1,26-1,51)</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>Escore Gensini</td>
                <td align="center">1,76 (1,50-2,07)</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>
                  <bold>Modelo 2 (mutivariado)*</bold>
                </td>
                <td>
								</td>
                <td>
								</td>
              </tr>
              <tr>
                <td>Idade<sup>&#8224;</sup></td>
                <td align="center">1,01 (0,98-1,02)</td>
                <td align="center">0,325</td>
              </tr>
              <tr>
                <td>Tempo de reperfus&#227;o</td>
                <td align="center">0,98 (0,99-1,00)</td>
                <td align="center">0,645</td>
              </tr>
              <tr>
                <td>Escore SYNTAX</td>
                <td align="center">1,05 (1,01-1,08)</td>
                <td align="center">&lt;0,01</td>
              </tr>
              <tr>
                <td>Carga tromb&#243;tica</td>
                <td align="center">1,17 (1,06-1,31)</td>
                <td align="center">&lt;0,01</td>
              </tr>
              <tr>
                <td>Escore Gensini</td>
                <td align="center">1,37 (1,13-1,65)</td>
                <td align="center">&lt;0,01</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN3">
              <p>
                <italic>IC: intervalo de confian&#231;a; OR: odds ratio. Todos os modelos foram ajustados para o escore GRACE e tempo de reperfus&#227;o (tempo entre in&#237;cio de sintomas e reperfus&#227;o). * ajustado para escore GRACE score; &#8224; n&#227;o inclui o escore GRACE</italic>
              </p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>
        <fig id="f01">
          <label>Figura 1</label>
          <caption>
            <title>Compara&#231;&#227;o das curvas ROC entre escores SYNTAX, Gensini, e de carga tromb&#243;tica (CT) combinados e o escore SYNTAX isolado.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-116-03-0466-00045-gf01.jpg"/></fig>
      </p>
      <p>A NRI e a estratifica&#231;&#227;o do NR entre o escore SYNTAX isolado e os escores combinados (SYNTAX, Gensini e carga tromb&#243;tica) s&#227;o apresentadas na <xref ref-type="table" rid="t4">Tabela 4</xref>. As an&#225;lises da NRI cont&#237;nua e categ&#243;rica mostraram melhora na capacidade preditiva do NR no modelo combinado, o que tamb&#233;m foi indicado pela melhora discriminada integrada (IDI) (<xref ref-type="table" rid="t5">Tabela 5</xref>).</p>
      <p>
        <table-wrap id="t4">
          <label>Tabela 4</label>
          <caption>
            <title>&#8211; Melhora da reclassifica&#231;&#227;o l&#237;quida e estratifica&#231;&#227;o do fen&#244;meno no-reflow entre os escores SYNTAX, Gensini, e de carga tromb&#243;tica combinados e o escore SYNTAX isolado</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="20%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left" rowspan="2">Escore SYNTAX isolado</th>
                <th colspan="4">Escores combinados</th>
              </tr>
              <tr>
                <th>Baixo</th>
                <th>Intermedi&#225;rio</th>
                <th>Alto</th>
                <th>Reclassifica&#231;&#227;o</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Baixo</td>
                <td align="center">301</td>
                <td align="center">26</td>
                <td align="center">1</td>
                <td align="center">8%</td>
              </tr>
              <tr>
                <td>Intermedi&#225;rio</td>
                <td align="center">23</td>
                <td align="center">22</td>
                <td align="center">34</td>
                <td align="center">72%</td>
              </tr>
              <tr>
                <td>Alto</td>
                <td align="center">2</td>
                <td align="center">9</td>
                <td align="center">6</td>
                <td align="center">65%</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </p>
      <p>
        <table-wrap id="t5">
          <label>Tabela 5</label>
          <caption>
            <title>&#8211; Melhora da reclassifica&#231;&#227;o l&#237;quida (NRI) cont&#237;nua e categ&#243;rica, melhora da discrimina&#231;&#227;o integrada (IDI) e valor preditivo do no-reflow entre os escores SYNTAX, Gensini, e de carga tromb&#243;tica combinados e o escore SYNTAX isolado</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="25%">
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">Vari&#225;veis</th>
                <th>NRI</th>
                <th>IC95%</th>
                <th>p</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Cont&#237;nuas</td>
                <td align="center">0,54</td>
                <td align="center">0,351-0,7347</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>Categ&#243;ricas</td>
                <td align="center">0,12</td>
                <td align="center">0,0119-0,2223</td>
                <td align="center">&lt;0,02</td>
              </tr>
              <tr>
                <td>IDI</td>
                <td align="center">0,066</td>
                <td align="center">0,040-0,092</td>
                <td align="center">&lt;0,001</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN4">
              <p>
                <italic>IC: intervalo de confian&#231;a.</italic>
              </p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
    </sec>
    <sec sec-type="discussion">
      <title>Discuss&#227;o</title>
      <p>Entre os principais achados deste estudo, encontramos que (1) o escore SYNTAX, o escore Gensini, e a carga tromb&#243;tica foram preditores independentes do NR; e (2) a combina&#231;&#227;o dos escores de carga ateroscler&#243;tica e de carga tromb&#243;tica com o escore SYNTAX aumentou o valor preditivo do escore SYNTAX na detec&#231;&#227;o do fen&#244;meno NR.</p>
      <p>Apesar de o escore SYNTAX ser um bom preditor de disfun&#231;&#227;o microvascular, a carga ateroscler&#243;tica n&#227;o &#233; considerada no algoritmo, uma vez que ele exclui les&#245;es obstrutivas com estenoses menores que 50%. Ainda, a carga tromb&#243;tica tamb&#233;m n&#227;o &#233; considerada no algoritmo SYNTAX, uma vez que ele atribui um escore relativamente baixo para a presen&#231;a ou aus&#234;ncia de trombo.<sup><xref ref-type="bibr" rid="B8">8</xref></sup> Contudo, o escore Gensini &#233; bastante representativo da carga ateroscler&#243;tica, uma vez que pontua les&#245;es com pelo menos 25% de estenose<sup><xref ref-type="bibr" rid="B15">15</xref>,<xref ref-type="bibr" rid="B16">16</xref></sup> e se associa de maneira significativa com a carga de placa e a &#225;rea da placa medidas por ultrassom intracoron&#225;rio.<sup><xref ref-type="bibr" rid="B17">17</xref></sup> Valores altos no escore Gensini podem indicar doen&#231;a de m&#250;ltiplos vasos e um aumento na resist&#234;ncia microvascular, ambos associados com NR.<sup><xref ref-type="bibr" rid="B5">5</xref>,<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B18">18</xref></sup></p>
      <p>No presente estudo, o escore Gensini foi um preditor independente de NR. Modolo et al.,<sup><xref ref-type="bibr" rid="B19">19</xref></sup> mostraram que o escore Gensini total e o escore Gensini da art&#233;ria culpada foram mais altos nos indiv&#237;duos com NR que nos indiv&#237;duos com reperfus&#227;o adequada<sup><xref ref-type="bibr" rid="B19">19</xref></sup> No entanto, a gravidade da estenose do l&#250;men n&#227;o &#233; o &#250;nico fator angiogr&#225;fico preditor de disfun&#231;&#227;o microvascular. De fato, altera&#231;&#245;es morfol&#243;gicas da placa, tais como o alto teor lip&#237;dico, centro necr&#243;tico extenso, e grande quantidade de placa atenuada tamb&#233;m s&#227;o fortes preditores de NR,<sup><xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref></sup> sugerindo que altera&#231;&#245;es no volume e no conte&#250;do da placa causem autorregula&#231;&#227;o inadequada e libera&#231;&#227;o local de vasoconstritores, aumentando a forma&#231;&#227;o de trombos, microemboliza&#231;&#227;o de leitos arteriais e obstru&#231;&#227;o microvascular.</p>
      <p>No presente estudo, 58,5% dos pacientes no grupo NR apresentaram trombos na art&#233;ria culpada; 50,4% desses com alta carga tromb&#243;tica (graus 4 e 5 da escala TIMI de trombos), uma poss&#237;vel raz&#227;o para a associa&#231;&#227;o com o NR. Em uma grande coorte de pacientes com IAMCSST submetidos &#224; ICP, uma grande carga tromb&#243;tica foi associada &#224; NR (4,0 vs 0,5, p&lt;0,001) e &#224; emboliza&#231;&#227;o distal (17,3 vs 3,4, p&lt;0,001).<sup><xref ref-type="bibr" rid="B22">22</xref></sup></p>
      <p>O escore SYNTAX foi significativamente mais alto no grupo com NR que no grupo com reperfus&#227;o adequada (17&#177;10 vs 9&#177;8), e um preditor independente de NR. Em um estudo pr&#233;vio, o escore SYNTAX foi um preditor de NR, e um escore SYNTAX &gt;21 duplicou o risco de se desenvolver NR.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> A oclus&#227;o total da art&#233;ria relacionada ao IAMCSST, local da oclus&#227;o (art&#233;ria coron&#225;ria principal esquerda ou art&#233;ria descendente anterior esquerda), presen&#231;a de trombos, les&#245;es mais extensas, les&#245;es na bifurca&#231;&#227;o e doen&#231;a de m&#250;ltiplos vasos s&#227;o fatores associados com escores SYNTAX aumentados e podem explicar a associa&#231;&#227;o com NR.<sup><xref ref-type="bibr" rid="B9">9</xref>,<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B23">23</xref></sup></p>
      <p>No presente estudo, o fen&#244;meno NR ocorreu em 32,8% dos casos, fluxo TIMI &lt;3 ou fluxo TIMI =3 e MBG &lt;2 como crit&#233;rio angiogr&#225;fico. A incid&#234;ncia de NR &#233; muito maior no IAMCSST que em ICP eletivo, sendo relatada em 30 a 50% dos pacientes submetidos &#224; ICP prim&#225;ria por IAMCSST.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> Rezkalla et al.,<sup><xref ref-type="bibr" rid="B3">3</xref></sup> investigando NR em pacientes com IAMCSST, encontraram uma preval&#234;ncia de 32% quando avaliados por TIMI e de 52% quando avaliados por MBG.</p>
      <p>Idade &#233; um importante marcador de NR. Pacientes idosos t&#234;m maior carga de placas, aterosclerose coron&#225;ria difusa e calcifica&#231;&#227;o vascular grave, o que pode contribuir para a disfun&#231;&#227;o microvascular.<sup><xref ref-type="bibr" rid="B24">24</xref>,<xref ref-type="bibr" rid="B25">25</xref></sup> Zhou et al.,<sup><xref ref-type="bibr" rid="B6">6</xref></sup> identificaram que idade &gt;65 anos (OR= 1,470, IC95%1,460-1,490, p=0,007) foi um preditor independente de NR.<sup><xref ref-type="bibr" rid="B6">6</xref></sup>Em nosso estudo, idade foi um fator preditor de NR na an&#225;lise univariada, mas essa rela&#231;&#227;o n&#227;o se manteve na an&#225;lise multivariada.</p>
      <p>A reperfus&#227;o tardia est&#225; associada com NR. Estudos pr&#233;vios mostraram que pacientes com tempo de reperfus&#227;o mais longos (&gt;6 horas) apresentaram um aumento significativo no NR.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref></sup> No entanto, um estudo utilizando um ponto de corte mais baixo (&lt;6 horas) do in&#237;cio dos sintomas n&#227;o indicou que a apresenta&#231;&#227;o tardia fosse um preditor independente de NR.<sup><xref ref-type="bibr" rid="B23">23</xref></sup> Em nosso estudo, o tempo de reperfus&#227;o foi 2,94 horas no grupo com NR e de 2,5 horas no grupo com reperfus&#227;o adequada. A an&#225;lise multivariada ajustada para o escore GRACE n&#227;o indicou o tempo de reperfus&#227;o como um preditor de NR.</p>
      <p>A fisiopatologia do fen&#244;meno de NR &#233; multifatorial e envolve suscetibilidade individual, les&#227;o relacionada &#224; isquemia, les&#227;o relacionada &#224; reperfus&#227;o, e emboliza&#231;&#227;o distal.<sup><xref ref-type="bibr" rid="B26">26</xref></sup> Durante a ICP, no IAMCSST, a emboliza&#231;&#227;o distal do trombo e os componentes da placa ateroscler&#243;tica s&#227;o mecanismos importantes envolvidos na patog&#234;nese do NR.<sup><xref ref-type="bibr" rid="B27">27</xref>,<xref ref-type="bibr" rid="B28">28</xref></sup> O material aterotromb&#243;tico liberado causa obstru&#231;&#227;o mec&#226;nica, vasoconstri&#231;&#227;o pela libera&#231;&#227;o de serotonina, tromboxano A2, e endotelina, e disfun&#231;&#227;o endotelial pela express&#227;o aumentada de fator de necrose tumoral alfa (TNF&#945;).<sup><xref ref-type="bibr" rid="B28">28</xref>-<xref ref-type="bibr" rid="B30">30</xref></sup> Ainda, a libera&#231;&#227;o de micropart&#237;culas plaquet&#225;rias e endoteliais est&#225; associada &#224; perfus&#227;o mioc&#225;rdica reduzida avaliada por MBG e &#224; maior carga tromb&#243;tica.<sup><xref ref-type="bibr" rid="B31">31</xref></sup> Os neutr&#243;filos liberam microfilamentos , os Neutrophil Extracellular Traps (NETs) que promovem trombose e inflama&#231;&#227;o na art&#233;ria culpada, contribuindo para morte dos mi&#243;citos.<sup><xref ref-type="bibr" rid="B32">32</xref>,<xref ref-type="bibr" rid="B33">33</xref></sup></p>
      <p>Uma limita&#231;&#227;o deste estudo &#233; seu car&#225;ter unic&#234;ntrico. Al&#233;m disso, a angiografia coron&#225;ria tem capacidade limitada para estimar tanto a carga tromb&#243;tica como a carga ateroscler&#243;tica quando comparada &#224; ultrassonografia intracoron&#225;ria e &#224; tomografia de coer&#234;ncia &#243;tica.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclus&#227;o</title>
      <p>A carga ateroscler&#243;tica avaliada pelo escore Gensini e a carga tromb&#243;tica na art&#233;ria culpada adicionam valor preditivo ao escore SYNTAX na detec&#231;&#227;o de NR ap&#243;s ICP em pacientes com IAMCSST.</p>
    </sec>
  </body>
  <back>
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              <surname>Jakowitsch</surname>
              <given-names>J</given-names>
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              <surname>Panzenb&#246;ck</surname>
              <given-names>A</given-names>
            </name>
            <etal>et al</etal>
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              <surname>Kambas</surname>
              <given-names>K</given-names>
            </name>
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              <surname>Konstantinidis</surname>
              <given-names>T</given-names>
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              <surname>Mitroulis</surname>
              <given-names>I</given-names>
            </name>
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              <surname>Apostolidou</surname>
              <given-names>E</given-names>
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    </ref-list>
    <fn-group>
      <fn fn-type="other">
        <p>Vincula&#231;&#227;o acad&#234;mica</p>
        <p>Este artigo &#233; Tese de Doutorado de Lu&#237;s Carlos V. Matos pelo programa de P&#243;s Gradua&#231;&#227;o em Ci&#234;ncias M&#233;dicas - Faculdade de Medicina &#8211; Universidade de Bras&#237;lia &#8211; UNB.</p>
      </fn>
      <fn fn-type="other">
        <p>Aprova&#231;&#227;o &#233;tica e consentimento informado</p>
        <p>Este estudo foi aprovado pelo Comit&#234; de &#201;tica da FEPECS/SES-DF sob o n&#250;mero de protocolo 47145515.6.0000.5553. Todos os procedimentos envolvidos nesse estudo est&#227;o de acordo com a Declara&#231;&#227;o de Helsinki de 1975, atualizada em 2013. O consentimento informado foi obtido de todos os participantes inclu&#237;dos no estudo.</p>
      </fn>
    </fn-group>
    <fn-group>
      <fn fn-type="supported-by">
        <p>Fontes de financiamento</p>
        <p>O presente estudo foi parcialmente financiado pelo Laborat&#243;rio Exame/Diagn&#243;sticos da Am&#233;rica S.A (DASA).</p>
      </fn>
    </fn-group>
  </back>
  <sub-article article-type="translation" id="TRen" xml:lang="en">
    <front-stub>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Gensini Score and Thrombus Burden Add Predictive Value to the SYNTAX Score in Detecting No-Reflow after Myocardial Infarction</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-9835-1906</contrib-id>
          <name>
            <surname>Matos</surname>
            <given-names>Lu&#237;s Carlos V</given-names>
          </name>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff5001">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Carvalho</surname>
            <given-names>Luiz Sergio</given-names>
          </name>
          <xref ref-type="aff" rid="aff2001">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="aff5001">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Modolo</surname>
            <given-names>Rodrigo</given-names>
          </name>
          <xref ref-type="aff" rid="aff2001">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Santos</surname>
            <given-names>Simone</given-names>
          </name>
          <xref ref-type="aff" rid="aff3001">
            <sup>3</sup>
          </xref>
          <xref ref-type="aff" rid="aff4001">
            <sup>4</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Silva</surname>
            <given-names>Jos&#233; Carlos Quinaglia e</given-names>
          </name>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff5001">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-8488-7662</contrib-id>
          <name>
            <surname>Almeida</surname>
            <given-names>Os&#243;rio Luis Rangel de</given-names>
          </name>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff5001">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-7127-2052</contrib-id>
          <name>
            <surname>Sposito</surname>
            <given-names>Andrei C.</given-names>
          </name>
          <xref ref-type="aff" rid="aff2001">
            <sup>2</sup>
          </xref>
        </contrib>
      </contrib-group>
      <aff id="aff1001">
        <label>1</label>
        <country country="BR">Brazil</country>
        <institution content-type="original">Escola Superior de Ci&#234;ncias da Sa&#250;de, Bras&#237;lia, DF - Brazil</institution>
      </aff>
      <aff id="aff2001">
        <label>2</label>
        <country country="BR">Brazil</country>
        <institution content-type="original">Universidade Estadual de Campinas, Campinas, SP - Brazil</institution>
      </aff>
      <aff id="aff3001">
        <label>3</label>
        <country country="BR">Brazil</country>
        <institution content-type="original">Hospital Bras&#237;lia &#8211; Ecocardiografia, Bras&#237;lia, DF - Brazil</institution>
      </aff>
      <aff id="aff4001">
        <label>4</label>
        <country country="BR">Brazil</country>
        <institution content-type="original">Eccos Diagn&#243;stico Cardiovascular Avan&#231;ado, Bras&#237;lia, DF - Brazil</institution>
      </aff>
      <aff id="aff5001">
        <label>5</label>
        <country country="BR">Brazil</country>
        <institution content-type="original">Hospital de Base do Distrito Federal - IGESDF, Bras&#237;lia, DF - Brazil</institution>
      </aff>
      <author-notes>
        <corresp id="c01001"><bold>Mailing Address: Andrei C. Sposito.</bold> Universidade de Campinas (UNICAMP), S&#227;o Paulo, SP - Brazil. E-mail: andreisposito@gmail.com </corresp>
        <fn fn-type="con">
          <p>Author contributions</p>
          <p>Conception and design of the research, Acquisition of data, Analysis and interpretation of the data and Critical revision of the manuscript for intellectual content: Matos L, Carvalho LS, Modolo R, Santos S, Silva JCQ, Almeida OLR, Sposito AC; Statistical analysis: Matos L, Carvalho LS, Modolo R, Almeida OLR, Sposito AC; Obtaining financing: Silva JCQ, Sposito AC; Writing of the manuscript: Matos L, Carvalho LS, Sposito AC.</p>
        </fn>
        <fn fn-type="conflict">
          <p>Potential Conflict of Interest</p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background</title>
          <p> No-reflow after percutaneous coronary intervention is associated with poor prognosis in patients with ST-segment elevation myocardial infarction (STEMI). SYNTAX score is a good predictor of no-reflow.</p>
        </sec>
        <sec>
          <title>Objective</title>
          <p> We aimed to evaluate whether atherosclerotic burden (Gensini score) and thrombus burden in the culprit coronary artery would improve the ability of the SYNTAX score to detect no-reflow.</p>
        </sec>
        <sec>
          <title>Methods</title>
          <p> In this prospective cohort study, consecutive patients with STEMI who presented within 12 h of onset of symptoms were selected for this study. No-reflow was defined as TIMI flow &lt; 3 o r TIMI flow = 3 but myocardial blush grade &lt;2. Thrombus burden was quantified according to the TIMI thrombus grade scale (0 to 5).</p>
        </sec>
        <sec>
          <title>Results</title>
          <p> A total of 481 patients were included (mean age 61&#177;11 years). No-reflow occurred in 32.8%. SYNTAX score (OR=1.05, 95%CI 1.01&#8211;1.08, p&lt;0.01), thrombus burden (OR=1.17, 95%CI 1.06&#8211;1.31, p&lt;0.01), and Gensini score (OR=1.37, 95%CI 1.13&#8211;1.65, p&lt;0.01) were independent predictors of no-reflow. Combined scores had a larger area under the curve than the SYNTAX score alone (0.78 [0.73&#8211;0.82] vs 0.73 [0.68&#8211;0.78], p=0.03). Analyses of both categorical (0.11 [0.01&#8211;0.22], p=0.02), and continuous net reclassification improvement (NRI&gt;0) (0.54 [0.035&#8211;0.73], p&lt;0.001) showed improvement in the predictive ability of no-reflow in the combined model, with integrated discrimination improvement (IDI) of 0.07 (0.04&#8211;0.09, p&lt;0.001).</p>
        </sec>
        <sec>
          <title>Conclusions</title>
          <p> Our findings suggest that, in patients with STEMI undergoing percutaneous coronary intervention, atherosclerotic burden and thrombus burden in the culprit artery add predictive value to the SYNTAX score in detecting the no-reflow phenomenon. (Arq Bras Cardiol. 2021; [online].ahead print, PP.0-0)</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>Percutaneous Coronary Intervention/methods</kwd>
        <kwd>Myocardial Infarction</kwd>
        <kwd>Atheroscclerosis</kwd>
        <kwd>Thrombosis</kwd>
        <kwd>Plaque, Atherosclerotic</kwd>
        <kwd>Embolization, Therapeutic</kwd>
      </kwd-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>Percutaneous coronary intervention (PCI) is the reperfusion strategy of choice for ST-segment elevation myocardial infarction (STEMI).<sup><xref ref-type="bibr" rid="B1">1</xref></sup> More than to restore the patency of the arterial lumen, the objective of this intervention is to provide blood flow in the coronary microcirculation.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> However, in one out of three patients, the microvascular flow remains diminished despite restoration of epicardial coronary artery patency, a phenomenon named no-reflow (NR).<sup><xref ref-type="bibr" rid="B2">2</xref>,<xref ref-type="bibr" rid="B3">3</xref></sup> The NR is associated with an increased incidence of heart failure, cardiogenic shock, and death.<sup><xref ref-type="bibr" rid="B3">3</xref>-<xref ref-type="bibr" rid="B5">5</xref></sup></p>
        <p>A sizeable number of markers for microvascular obstruction have been described, particularly age and time to reperfusion.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref></sup> More recently, it has been shown that anatomic complexity for PCI, as estimated by the SYNTAX score, may also relate to a higher risk for NR.<sup><xref ref-type="bibr" rid="B8">8</xref>-<xref ref-type="bibr" rid="B10">10</xref></sup> As NR occurs more frequently than the above-mentioned markers, it is possible that other clinically relevant markers exist. In this context, it is hypothetically plausible that atherosclerotic and thrombotic burden may add predictive value to the SYNTAX score, age, and time to reperfusion in the prediction of NR. The present study was therefore designed to test this hypothesis.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <sec>
          <title>Sample selection</title>
          <p>This study was based on a subanalysis of the Brasilia Heart Study (BHS), whose design is described elsewhere.<sup><xref ref-type="bibr" rid="B11">11</xref></sup> Briefly, the BHS is a single-center, prospective cohort study of consecutive patients with STEMI who presented within 24 h of onset of symptoms. STEMI was defined as follows: 1) ST-segment elevation of at least 1 mm in the frontal plane or 2 mm in the horizontal plane in two contiguous leads, or new left bundle branch block on electrocardiogram; 2) positive myocardial necrosis marker, defined as troponin I &gt;0.04 ng/mL and CK-MB &gt;25 U/L, corresponding to values above the 99th percentile. Patients undergoing PCI within 12 h of STEMI were eligible for the present study. Written informed consent was obtained from all participants, and the study was approved by the research ethics committee of the institution. All procedures were in accordance with the ethical standards of the institutional committee on human experimentation and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.</p>
        </sec>
        <sec>
          <title>Angiographic analysis</title>
          <p>All angiograms were reviewed by two experienced interventional cardiologists who independently interpreted the images and evaluated the following parameters: 1) coronary flow: TIMI flow grade;<sup><xref ref-type="bibr" rid="B12">12</xref></sup> 2) myocardial perfusion: myocardial blush grade (MBG);<sup><xref ref-type="bibr" rid="B13">13</xref></sup> 3) thrombus burden: TIMI thrombus grade scale;<sup><xref ref-type="bibr" rid="B14">14</xref></sup> 4) angiographic SYNTAX score<sup><xref ref-type="bibr" rid="B8">8</xref></sup> and modified Gensini score.<sup><xref ref-type="bibr" rid="B15">15</xref></sup>.The scores were obtained from the diagnostic angiogram before any intervention. The two cardiologists agreed on the interpretation of findings, with an intraobserver and interobserver variability of 5%.</p>
          <p>NR was defined as a TIMI flow grade &lt; 3 o r T I M I f l o w g r a d e = 3 but MBG &lt;2 at coronary angiography performed after PCI of the STEMI-related artery.</p>
        </sec>
        <sec>
          <title>Statistical analysis</title>
          <p>Quantitative data were expressed as mean and standard deviation (SD). Groups were compared using Student&#8217;s <italic>t</italic> test for parametric continuous variables or the Mann-Whitney test for nonparametric continuous variables, and the chi-square test was used for categorical variables. Binary logistic regression was used to determine predictors of the NR phenomenon in models unadjusted (model 1) and adjusted (model 2) for GRACE score and reperfusion time (time between symptom onset and reperfusion) after reperfusion. Receiver operating characteristic (ROC) curve analysis was performed to determine the predictive ability of the models. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to determine improvements with the addition of new predictors. Statistical analysis was performed using SPSS for Mac version 23.0 (SPSS Inc., Chicago, IL, USA), and R for Mac version 3.4.2. A p-value &lt;0.05 was considered statistically significant.</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>A total of 481 patients undergoing PCI in the acute phase of STEMI were included in the present study. Mean patient age was 61 (SD 11) years, and 74.6% were men, 58.0% had hypertension, 54.2% were physically inactive, 38.0% were smokers, and 30.7% had diabetes. NR occurred in 32.8% of the patients (n=158), who were then compared to those who had optimal reperfusion (n=323). Clinical and biochemical characteristics of both groups are described in <xref ref-type="table" rid="t1001">Table 1</xref>.</p>
        <p>
          <table-wrap id="t1001">
            <label>Table 1</label>
            <caption>
              <title>&#8211; Clinical and biochemical characteristics of 481 patients undergoing percutaneous coronary intervention for ST-segment elevation myocardial infarction (STEMI) who showed optimal reperfusion or no-reflow after the procedure</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup width="20%">
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left" rowspan="2">Parametric variables</th>
                  <th>Total (n = 481)</th>
                  <th>Optimal reperfusion (n = 323)</th>
                  <th>No-reflow (n = 158)</th>
                  <th rowspan="2">P- value<sup>*</sup></th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td align="center">
                    <bold>mean &#177; SD</bold>
                  </td>
                  <td align="center">
                    <bold>mean &#177; SD</bold>
                  </td>
                  <td align="center">
                    <bold>mean &#177; SD</bold>
                  </td>
                </tr>
                <tr>
                  <td>Age (years)</td>
                  <td align="center">61&#177;11</td>
                  <td align="center">61&#177;11</td>
                  <td align="center">61&#177;12</td>
                  <td align="center">0.64</td>
                </tr>
                <tr>
                  <td>BMI (kg.m-2)</td>
                  <td align="center">27.0&#177;4.2</td>
                  <td align="center">26.8&#177;3.9</td>
                  <td align="center">27.3&#177;4.7</td>
                  <td align="center">0.32</td>
                </tr>
                <tr>
                  <td>GRACE on hospital admission</td>
                  <td align="center">136&#177;26</td>
                  <td align="center">135&#177;27</td>
                  <td align="center">137&#177;24</td>
                  <td align="center">0.46</td>
                </tr>
                <tr>
                  <td>First-day total cholesterol (mg.mL-1)</td>
                  <td align="center">192&#177;48</td>
                  <td align="center">192&#177;45</td>
                  <td align="center">191&#177;53</td>
                  <td align="center">0.83</td>
                </tr>
                <tr>
                  <td>First-day HDL-c (mg.mL-1)</td>
                  <td align="center">40&#177;11</td>
                  <td align="center">38&#177;10</td>
                  <td align="center">38&#177;11</td>
                  <td align="center">0.63</td>
                </tr>
                <tr>
                  <td>HbA1c (%)</td>
                  <td align="center">6.5&#177;1.8</td>
                  <td align="center">6.5&#177;1.8</td>
                  <td align="center">6.4&#177;1.7</td>
                  <td align="center">0.64</td>
                </tr>
                <tr>
                  <td>
                    <bold>Non-parametric variables</bold>
                  </td>
                  <td align="center">
                    <bold>Median (Q1 - Q3)</bold>
                  </td>
                  <td align="center">
                    <bold>Median (Q1 - Q3)</bold>
                  </td>
                  <td align="center">
                    <bold>Median (Q1 - Q3)</bold>
                  </td>
                  <td align="center">
                    <bold>P- value<sup>&#8224;</sup></bold>
                  </td>
                </tr>
                <tr>
                  <td>Reperfusion time</td>
                  <td align="center">111 (60 - 210)</td>
                  <td align="center">96 (60 - 206)</td>
                  <td align="center">120 (60 - 239)</td>
                  <td align="center">0.42</td>
                </tr>
                <tr>
                  <td>First-day LDL-c (mg.mL-1)</td>
                  <td align="center">117 (93 - 143)</td>
                  <td align="center">117 (97 - 145)</td>
                  <td align="center">118 (94 - 141)</td>
                  <td align="center">0.50</td>
                </tr>
                <tr>
                  <td>First-day triglycerides (mg.mL-1)</td>
                  <td align="center">134 (87 - 207)</td>
                  <td align="center">135 (90 - 215)</td>
                  <td align="center">133 (84 - 195)</td>
                  <td align="center">0.11</td>
                </tr>
                <tr>
                  <td>
                    <bold>Categorical variables</bold>
                  </td>
                  <td align="center">
                    <bold>&#402; (%)</bold>
                  </td>
                  <td align="center">
                    <bold>&#402; (%)</bold>
                  </td>
                  <td align="center">
                    <bold>&#402; (%)</bold>
                  </td>
                  <td align="center">
                    <bold>P- value<sup><bold>&#450;</bold></sup></bold>
                  </td>
                </tr>
                <tr>
                  <td>Male, n (%)</td>
                  <td align="center">359 (75)</td>
                  <td align="center">235 (73)</td>
                  <td align="center">124 (78)</td>
                  <td align="center">0.34</td>
                </tr>
                <tr>
                  <td>DM, n (%)</td>
                  <td align="center">148 (31)</td>
                  <td align="center">94 (29)</td>
                  <td align="center">54 (34)</td>
                  <td align="center">0.34</td>
                </tr>
                <tr>
                  <td>Hypertension, n (%)</td>
                  <td align="center">279 (58)</td>
                  <td align="center">187 (58)</td>
                  <td align="center">92 (58)</td>
                  <td align="center">0.97</td>
                </tr>
                <tr>
                  <td>Stroke, n (%)</td>
                  <td align="center">21 (4)</td>
                  <td align="center">11 (3)</td>
                  <td align="center">10 (6)</td>
                  <td align="center">0.24</td>
                </tr>
                <tr>
                  <td>Smoking, n (%)</td>
                  <td align="center">183 (38)</td>
                  <td align="center">127 (39)</td>
                  <td align="center">56 (35)</td>
                  <td align="center">0.35</td>
                </tr>
                <tr>
                  <td>Physical inactivity, n (%)</td>
                  <td align="center">261 (54)</td>
                  <td align="center">179 (55)</td>
                  <td align="center">82 (52)</td>
                  <td align="center">0.37</td>
                </tr>
                <tr>
                  <td>Previous PCI, n (%)</td>
                  <td align="center">26 (5)</td>
                  <td align="center">15 (5)</td>
                  <td align="center">11 (7)</td>
                  <td align="center">0.35</td>
                </tr>
                <tr>
                  <td>CABG, n (%)</td>
                  <td align="center">4 (0.8)</td>
                  <td align="center">3 (0.9)</td>
                  <td align="center">1 (0.6)</td>
                  <td align="center">0.86</td>
                </tr>
                <tr>
                  <td>Killip &gt;1, n (%)</td>
                  <td align="center">52 (11)</td>
                  <td align="center">31 (10)</td>
                  <td align="center">21 (13.2)</td>
                  <td align="center">0.44</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN1001">
                <p>
                  <italic>SD: standard deviation; Q1: first quartile; Q3: third quartile. CABG: coronary artery bypass grafting; GRACE: Global Registry of Acute Coronary Events; DM: type 2 diabetes mellitus; PCI: percutaneous coronary intervention; BMI: body mass index; HbA1C: glycosylated hemoglobin; LDL: low-density lipoprotein; HDL: high-density lipoprotein. * unpaired Student&#8217;s t test; &#8224; Non-parametric Mann-Whitney test; &#450; Chi-squared test.</italic>
                </p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </p>
        <p>Gensini score, Gensini score of the culprit artery, SYNTAX score, and thrombus burden were significantly higher in the NR group than in the optimal reperfusion group (<xref ref-type="table" rid="t2001">Table 2</xref>). Both unadjusted and adjusted logistic regression models showed that SYNTAX score, Gensini score, and thrombus burden were independent predictors of NR (<xref ref-type="table" rid="t3001">Table 3</xref>). ROC curve analysis showed that the model with combined scores had a larger area under the ROC curve than the model with the SYNTAX score alone (0.778 [0.733 - 0.823] vs. 0.737 [0.688 - 0.786]) (<xref ref-type="fig" rid="f01001">Figure 1</xref>).</p>
        <p>
          <table-wrap id="t2001">
            <label>Table 2</label>
            <caption>
              <title>&#8211; Angiographic parameters of 481 patients undergoing percutaneous coronary intervention for ST-segment elevation myocardial infarction (STEMI)</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup width="20%">
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left">Parameters</th>
                  <th>n = 481</th>
                  <th>Optimal reperfusion n = 323</th>
                  <th>No-reflow n = 158</th>
                  <th>p</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Gensini score</td>
                  <td align="center">100&#177;70</td>
                  <td align="center">82&#177;62</td>
                  <td align="center">139&#177;69</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>Gensini score &#8211; culprit artery</td>
                  <td align="center">62&#177;49</td>
                  <td align="center">48&#177;38</td>
                  <td align="center">87&#177;56</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>SYNTAX score</td>
                  <td align="center">12&#177;10</td>
                  <td align="center">9&#177;8</td>
                  <td align="center">17&#177;10</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>Thrombus burden &#8211; culprit artery, n (%)</td>
                  <td align="center">181 (37.6)</td>
                  <td align="center">89 (27.5)</td>
                  <td align="center">92 (58.2)</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>TIMI thrombus grade scale, n (%)</td>
                  <td>
									</td>
                  <td>
									</td>
                  <td>
									</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>0</td>
                  <td align="center">300 (63)</td>
                  <td align="center">234 (72)</td>
                  <td align="center">66 (42)</td>
                  <td>
									</td>
                </tr>
                <tr>
                  <td>1</td>
                  <td align="center">9 (1.9)</td>
                  <td align="center">8 (2.5)</td>
                  <td align="center">1 (0.6)</td>
                  <td>
									</td>
                </tr>
                <tr>
                  <td>2</td>
                  <td align="center">21 (4.4)</td>
                  <td align="center">13 (4)</td>
                  <td align="center">8 (5)</td>
                  <td>
									</td>
                </tr>
                <tr>
                  <td>3</td>
                  <td align="center">18 (3.7)</td>
                  <td align="center">14 (4.3)</td>
                  <td align="center">4 (2.5)</td>
                  <td>
									</td>
                </tr>
                <tr>
                  <td>4</td>
                  <td align="center">18 (3.7)</td>
                  <td align="center">11 (3.4)</td>
                  <td align="center">7 (4.4)</td>
                  <td>
									</td>
                </tr>
                <tr>
                  <td>5</td>
                  <td align="center">115 (24)</td>
                  <td align="center">43 (13.3)</td>
                  <td align="center">72 (46)</td>
                  <td>
									</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN2001">
                <p>
                  <italic>Values are expressed as mean &#177; standard deviation. TIMI: thrombolysis in myocardial infarction.</italic>
                </p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </p>
        <p>
          <table-wrap id="t3001">
            <label>Table 3</label>
            <caption>
              <title>&#8211; Logistic regression model of the SYNTAX, Gensini, and thrombus burden scores as predictors of the no-reflow phenomenon</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup width="33%">
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left">Models</th>
                  <th>OR (95%CI)</th>
                  <th>p</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>
                    <bold>Model 1 (unadjusted)</bold>
                  </td>
                  <td>
									</td>
                  <td>
									</td>
                </tr>
                <tr>
                  <td>Age</td>
                  <td align="center">1.02 (1.00-1.03</td>
                  <td align="center">0.037</td>
                </tr>
                <tr>
                  <td>Reperfusion time</td>
                  <td align="center">1.00 (1.00-1.01)</td>
                  <td align="center">0.154</td>
                </tr>
                <tr>
                  <td>SYNTAX score</td>
                  <td align="center">1.10 (1.07-1.12)</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>Thrombus burden</td>
                  <td align="center">1.38 (1.26-1.51)</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>Gensini score</td>
                  <td align="center">1.76 (1.50-2.07)</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>
                    <bold>Model 2 (multivariate)*</bold>
                  </td>
                  <td>
									</td>
                  <td>
									</td>
                </tr>
                <tr>
                  <td>Age<sup>&#8224;</sup></td>
                  <td align="center">1.01 (0.98-1.02)</td>
                  <td align="center">0.325</td>
                </tr>
                <tr>
                  <td>Reperfusion time</td>
                  <td align="center">0.98 (0.99-1.00)</td>
                  <td align="center">0.645</td>
                </tr>
                <tr>
                  <td>SYNTAX score</td>
                  <td align="center">1.05 (1.01-1.08)</td>
                  <td align="center">&lt;0.01</td>
                </tr>
                <tr>
                  <td>Thrombus burden</td>
                  <td align="center">1.17 (1.06-1.31)</td>
                  <td align="center">&lt;0.01</td>
                </tr>
                <tr>
                  <td>Gensini score</td>
                  <td align="center">1.37 (1.13-1.65)</td>
                  <td align="center">&lt;0.01</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN3001">
                <p>
                  <italic>CI: confidence interval; OR: odds ratio. All models were adjusted for GRACE score and reperfusion time (time between symptom onset and reperfusion). * adjusted for GRACE score; <sup>&#8224;</sup> not including GRACE score.</italic>
                </p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </p>
        <p>
          <fig id="f01001">
            <label>Figure 1</label>
            <caption>
              <title>Comparison of ROC curves between combined SYNTAX, Gensini, and thrombus burden (TB) scores and the SYNTAX score alone.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-116-03-0466-00045-gf01-en.jpg"/></fig>
        </p>
        <p>NRI and stratification of NR between the SYNTAX score alone and combined SYNTAX, Gensini, and thrombus burden scores are shown in <xref ref-type="table" rid="t4001">Table 4</xref>. Both categorical and continuous NRI analyses showed improvement in the predictive ability of NR in the combined model, which was also indicated by the integrated discrimination improvement (IDI) (<xref ref-type="table" rid="t5001">Table 5</xref>).</p>
        <p>
          <table-wrap id="t4001">
            <label>Table 4</label>
            <caption>
              <title>&#8211; Net reclassification improvement (NRI) and stratification of no-reflow between combined SYNTAX, Gensini, and thrombus burden scores and the SYNTAX score alone</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup width="20%">
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left" rowspan="2">SYNTAX score alone</th>
                  <th colspan="4">Combined scores</th>
                </tr>
                <tr>
                  <th>Low</th>
                  <th>Intermediate</th>
                  <th>High</th>
                  <th>Reclassification</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Low</td>
                  <td align="center">301</td>
                  <td align="center">26</td>
                  <td align="center">1</td>
                  <td align="center">8%</td>
                </tr>
                <tr>
                  <td>Intermediate</td>
                  <td align="center">23</td>
                  <td align="center">22</td>
                  <td align="center">34</td>
                  <td align="center">72%</td>
                </tr>
                <tr>
                  <td>High</td>
                  <td align="center">2</td>
                  <td align="center">9</td>
                  <td align="center">6</td>
                  <td align="center">65%</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </p>
        <p>
          <table-wrap id="t5001">
            <label>Table 5</label>
            <caption>
              <title>&#8211; Continuous and categorical net reclassification improvement (NRI), integrated discrimination improvement (IDI), and predictive value of no-reflow between combined SYNTAX, Gensini, and thrombus burden scores and the SYNTAX score alone</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup width="25%">
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left">Variables</th>
                  <th>NRI</th>
                  <th>95%CI</th>
                  <th>p</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Continuous</td>
                  <td align="center">0.54</td>
                  <td align="center">0.351-0.7347</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>Categorical</td>
                  <td align="center">0.12</td>
                  <td align="center">0.0119-0.2223</td>
                  <td align="center">&lt;0.02</td>
                </tr>
                <tr>
                  <td>IDI</td>
                  <td align="center">0.066</td>
                  <td align="center">0.040-0.092</td>
                  <td align="center">&lt;0.001</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN4001">
                <p>
                  <italic>CI: confidence interval.</italic>
                </p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </p>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <p>Among the main findings of this study, we found that (1) SYNTAX score, Gensini score, and thrombus burden were all independent predictors of NR; and (2) the combination of atherosclerotic burden and thrombus burden scores with the SYNTAX score increased the predictive value of the SYNTAX score in detecting the NR phenomenon.</p>
        <p>Although the SYNTAX score is a good predictor of microvascular dysfunction, total atherosclerotic burden is not considered in the algorithm, as it excludes occlusive lesions with less than 50% stenosis. Furthermore, thrombotic burden is also not considered in the SYNTAX algorithm, as it only assigns a relatively small score for the presence or absence of thrombus.<sup><xref ref-type="bibr" rid="B8">8</xref></sup> Conversely, Gensini score is very representative of total atherosclerotic burden, because it considers lesions as from 25% luminal stenosis,<sup><xref ref-type="bibr" rid="B15">15</xref>,<xref ref-type="bibr" rid="B16">16</xref></sup> and is significantly associated with average plaque burden and plaque area as measured by intracoronary ultrasound.<sup><xref ref-type="bibr" rid="B17">17</xref></sup> High Gensini scores may indicate multivessel disease and an increase in microvascular resistance, both of which are factors associated with NR.<sup><xref ref-type="bibr" rid="B5">5</xref>,<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B18">18</xref></sup></p>
        <p>In the present study, Gensini score was an independent predictor of NR. Modolo et al.<sup><xref ref-type="bibr" rid="B19">19</xref></sup> showed that total Gensini score and Gensini score of the culprit artery were higher in individuals with NR than in individuals with optimal reperfusion.<sup><xref ref-type="bibr" rid="B19">19</xref></sup> However, the severity of luminal stenosis is not the only angiographic predictor of microvascular dysfunction. In fact, plaque morphological changes such as lipid-rich content, large necrotic core, and large amount of attenuated plaque are also strong predictors of NR,<sup><xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref></sup> suggesting that altered plaque volume and content cause impaired autoregulation and local release of vasoconstrictors, boosting thrombus formation, microembolization of arterial beds and microvascular obstruction.</p>
        <p>In the present study, 58.5% of patients in the NR group had thrombus in the culprit artery; 50.4% of these with large thrombus burden (grades 4 and 5 of the TIMI thrombus grade scale), a possible reason for the association with NR. In a large cohort of patients with STEMI undergoing PCI, large thrombus burden was associated with NR (4.0 vs 0.5, p&lt;0.001) and distal embolization (17.3 vs 3.4, p&lt;0.001).<sup><xref ref-type="bibr" rid="B22">22</xref></sup></p>
        <p>The SYNTAX score was significantly higher in the NR group than in the optimal reperfusion group (17&#177;10 vs 9&#177;8) and was an independent predictor of NR. In a previous study, the SYNTAX score was a predictor of NR, and a SYNTAX score &gt;21 doubled the risk of developing NR.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> Total occlusion of the STEMI-related artery, site of occlusion (left main or left anterior descending coronary artery), presence of thrombus, longer lesions, bifurcation lesions and multivessel disease are factors associated with increased SYNTAX scores and may explain the association with NR.<sup><xref ref-type="bibr" rid="B9">9</xref>,<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B23">23</xref></sup></p>
        <p>In the present study, the NR phenomenon occurred in 32.8% of cases, with TIMI flow &lt;3 or TIMI flow =3 but MBG &lt;2 as angiographic criteria. The incidence of NR is much higher in STEMI than in elective PCI, being reported in 30 to 50% of patients undergoing primary PCI for STEMI.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> Rezkalla et al.,<sup><xref ref-type="bibr" rid="B3">3</xref></sup> investigating NR in patients with STEMI, found a prevalence of 32% as assessed by TIMI and of 52% by MBG.</p>
        <p>Age is an important marker of NR. Older patients have higher plaque burden, diffuse coronary atherosclerosis and severe vascular calcification, which may contribute to microvascular dysfunction.<sup><xref ref-type="bibr" rid="B24">24</xref>,<xref ref-type="bibr" rid="B25">25</xref></sup> Zhou et al.<sup><xref ref-type="bibr" rid="B6">6</xref></sup> identified that age &gt; 65 years (OR= 1.470, 95%CI 1.460-1.490, p=0.007), was an independent predictor of NR.<sup><xref ref-type="bibr" rid="B6">6</xref></sup> In our study, in univariate analysis, age predicted NR, but in multivariate analysis this relationship was not maintained.</p>
        <p>Delayed reperfusion is associated with NR. Previous studies have shown that patients with longer reperfusion time (&gt; 6 h) show a significant increase in NR.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref></sup> However, a study using a shorter cut-off point (&lt; 6 h) from symptom onset did not indicate delayed presentation as an independent predictor of NR.<sup><xref ref-type="bibr" rid="B23">23</xref></sup> In our study, reperfusion time was 2.94 h in the NR group and 2.5 h in the optimal reperfusion group. Multivariate analysis adjusted for GRACE score did not show reperfusion time as a predictor of NR.</p>
        <p>The pathophysiology of the NR phenomenon is multifactorial and involves individual susceptibility, ischemia-related injury, reperfusion-related injury, and distal embolization.<sup><xref ref-type="bibr" rid="B26">26</xref></sup> During PCI, in the setting of STEMI, distal embolization of thrombus and atherosclerotic plaque components are important mechanisms involved in the pathogenesis of NR.<sup><xref ref-type="bibr" rid="B27">27</xref>,<xref ref-type="bibr" rid="B28">28</xref></sup> The released atherothrombotic material causes mechanical obstruction, vasoconstriction due to the release of serotonin, thromboxane A2, and endothelin, and endothelial dysfunction due to increased expression of tumor necrosis factor alpha (TNF&#945;).<sup><xref ref-type="bibr" rid="B28">28</xref>-<xref ref-type="bibr" rid="B30">30</xref></sup> Likewise, the release of platelet- and endothelial-derived microparticles is associated with reduced myocardial perfusion as assessed by MBG and with larger thrombus burden.<sup><xref ref-type="bibr" rid="B31">31</xref></sup> The burden of neutrophil extracellular traps may propagate thrombosis and inflammation distally into the culprit artery, contributing to myocyte death.<sup><xref ref-type="bibr" rid="B32">32</xref>,<xref ref-type="bibr" rid="B33">33</xref></sup></p>
        <p>A limitation of this study is that it represents the experience of a single center. Also, coronary angiography has limited ability to estimate both thrombotic and atherosclerotic plaque burden compared with intracoronary ultrasound and optical coherence tomography.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusion</title>
        <p>Atherosclerotic burden assessed by Gensini score and thrombus burden in the culprit artery add predictive value to the SYNTAX score in detecting the NR phenomenon after PCI in patients with STEMI.</p>
      </sec>
    </body>
    <back>
      <fn-group>
        <fn fn-type="other">
          <p>Study Association</p>
          <p>This article is part of the doctoral thesis submitted by Lu&#237;s Carlos V. Matos, from programa de P&#243;s Gradua&#231;&#227;o em Ci&#234;ncias M&#233;dicas - Faculdade de Medicina &#8211; Universidade de Bras&#237;lia &#8211; UNB.</p>
        </fn>
        <fn fn-type="other">
          <p>Ethics approval and consent to participate</p>
          <p>This study was approved by the Ethics Committee of the FEPECS/SES-DF under the protocol number 47145515.6.0000.5553. All the procedures in this study were in accordance with the 1975 Helsinki Declaration, updated in 2013. Informed consent was obtained from all participants included in the study.</p>
        </fn>
      </fn-group>
      <fn-group>
        <fn fn-type="supported-by">
          <p>Sources of Funding</p>
          <p>This study was partially funded by Laborat&#243;rio Exame/Diagn&#243;sticos da Am&#233;rica S.A (DASA).</p>
        </fn>
      </fn-group>
    </back>
  </sub-article>
</article>
