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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" dtd-version="1.1" specific-use="sps-1.9" article-type="research-article" xml:lang="pt">
  <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 specific-use="scielo-v3" pub-id-type="publisher-id">87j64xMVhJ34TcHK9dKgqQs</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S0066-782X2021000600959</article-id>
      <article-id pub-id-type="publisher-id">abc.20200115</article-id>
      <article-id pub-id-type="doi">10.36660/abc.20200115</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigo Original</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Compara&#231;&#227;o entre Dois Escores de Risco quanto &#224; Predi&#231;&#227;o de Obstru&#231;&#227;o Microvascular Coronariana durante a Interven&#231;&#227;o Percut&#226;nea Prim&#225;ria</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Xiao</surname>
            <given-names>Yuyang</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Chen</surname>
            <given-names>Hua</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Liu</surname>
            <given-names>Dongxia</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Wang</surname>
            <given-names>Yanbo</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Wang</surname>
            <given-names>Wenlu</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Zhang</surname>
            <given-names>Qian</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Han</surname>
            <given-names>Yuping</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="fn" rid="fn1">*</xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-7556-4869</contrib-id>
          <name>
            <surname>Fu</surname>
            <given-names>Xianghua</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <xref ref-type="fn" rid="fn1">*</xref>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Hebei General Hospital</institution>
          <institution content-type="orgdiv1">Department of Cardiology</institution>
          <addr-line>
            <named-content content-type="city">Shijiazhuang</named-content>
          </addr-line>
          <country country="CN">China</country>
          <institution content-type="original">Hebei General Hospital - Department of Cardiology, Shijiazhuang, Hebei &#8211; China.</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution content-type="orgname">Second Hospital of Hebei Medical University</institution>
          <institution content-type="orgdiv1">Department of Cardiology</institution>
          <addr-line>
            <named-content content-type="city">Shijiazhuang</named-content>
          </addr-line>
          <country country="CN">China</country>
          <institution content-type="original">Second Hospital of Hebei Medical University - Department of Cardiology, Shijiazhuang, Hebei &#8211; China.</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><bold>Correspond&#234;ncia: Yuping Han</bold> &#8226; Department of Cardiology, Hebei General Hospital, No. 348 Heping West Road, Shijiazhuang <postal-code>050000</postal-code>, Hebei Province, China. E-mail: <email>hyp8@hotmail.com</email></corresp>
        <fn fn-type="other" id="fn1">
          <label>*</label>
          <p>Os autores contribu&#237;ram igualmente para este artigo</p>
        </fn>
        <fn fn-type="con">
          <p>
            <bold>Contribui&#231;&#227;o dos Autores</bold>
          </p>
          <p>Concep&#231;&#227;o e desenho da pesquisa: Xiao Y, Wang Y, Wang W, Zhang Q, Han Y, Fu X; Obten&#231;&#227;o de dados: Chen H, Liu D, Wang W, Han Y; An&#225;lise e interpreta&#231;&#227;o dos dados: Xiao Y, Liu D, Wang Y, Zhang Q, Fu X; An&#225;lise estat&#237;stica: Chen H, Wang Y, Wang W, Zhang Q; Obten&#231;&#227;o de financiamento: Xiao Y, Han Y, Fu X; Reda&#231;&#227;o do manuscrito: Xiao Y, Chen H, Han Y, Fu X; Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante: Xiao Y, Liu D, Han Y, Fu X.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potencial Conflito de Interesses</bold>
          </p>
          <p>Declaro n&#227;o haver conflito de interesses pertinentes.</p>
        </fn>
      </author-notes>
      <pub-date publication-format="electronic" date-type="pub">
        <day>17</day>
        <month>05</month>
        <year>2021</year>
      </pub-date>
      <pub-date publication-format="electronic" date-type="collection">
        <month>05</month>
        <year>2021</year>
      </pub-date>
      <volume>116</volume>
      <issue>5</issue>
      <fpage>959</fpage>
      <lpage>967</lpage>
      <history>
        <date date-type="received">
          <day>13</day>
          <month>02</month>
          <year>2020</year>
        </date>
        <date date-type="rev-recd">
          <day>06</day>
          <month>05</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>06</day>
          <month>05</month>
          <year>2020</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xml:lang="en" xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Resumo</title>
        <sec>
          <title>Fundamento:</title>
          <p>Para pacientes com infarto do mioc&#225;rdio com eleva&#231;&#227;o do segmento ST (IAMCST) que sofrem de obstru&#231;&#227;o coronariana microvascular funcional e estrutural (OCM) subsequente, nenhuma abordagem terap&#234;utica espec&#237;fica e definitiva de atenua&#231;&#227;o foi comprovada como v&#225;lida em testes de larga escala atuais, o que destaca a necessidade de abordar seu reconhecimento precoce.</p>
        </sec>
        <sec>
          <title>Objetivos:</title>
          <p>Este estudo teve como objetivo comparar o desempenho de dois escores de risco cl&#237;nico com uma medida objetiva de OCM durante interven&#231;&#227;o coron&#225;ria percut&#226;nea (ICP) em casos de IAMCST</p>
        </sec>
        <sec>
          <title>M&#233;todos:</title>
          <p>A medi&#231;&#227;o do &#237;ndice de resist&#234;ncia microcirculat&#243;ria (IRM) foi realizada e os par&#226;metros cl&#237;nicos e angiogr&#225;ficos basais tamb&#233;m foram registrados. Os pacientes foram divididos em entre os grupos OM (obstru&#231;&#227;o microvascular) e NOM (n&#227;o-obstru&#231;&#227;o microvascular), de acordo com o valor de IRM p&#243;s-procedimento. O risco de OCM foi avaliado para todos os participantes pelos escores preditivos SAK e ATI, respectivamente. Cada sistema foi calculado somando-se as pontua&#231;&#245;es de todas as vari&#225;veis. As curvas de caracter&#237;sticas do operador receptor (ROC) e a &#225;rea sob a curva (AUC) de dois modelos de risco foram utilizadas para avaliar o desempenho discriminat&#243;rio. Um ecocardiograma foi realizado sete dias ap&#243;s o procedimento para avaliar a fra&#231;&#227;o de eje&#231;&#227;o do ventr&#237;culo esquerdo (FEVE). Um valor P bicaudal de &lt;0,05 foi considerado estatisticamente significativo.</p>
        </sec>
        <sec>
          <title>Resultados:</title>
          <p>Entre os 65 pacientes eleg&#237;veis com IAMCST, 48 foram alocados no grupo NOM e 17 no grupo OM, com uma incid&#234;ncia de OCM de 26,15%. N&#227;o houve diferen&#231;a significativa na AUC entre os dois escores. A FEVE avaliada para o grupo NOM foi maior do que para o grupo OM.</p>
        </sec>
        <sec>
          <title>Conclus&#227;o:</title>
          <p>Os escores SAK e ATI tiveram bom desempenho para estimar o risco de OCM ap&#243;s ICP prim&#225;rio para pacientes com IAMCST.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="pt">
        <title>Palavras-chave:</title>
        <kwd>Infarto do Mioc&#225;rdio</kwd>
        <kwd>Interven&#231;&#227;o Coron&#225;ria Percut&#226;nea</kwd>
        <kwd>Obstru&#231;&#227;o Coronariana</kwd>
        <kwd>Previs&#245;es</kwd>
        <kwd>Indicador de Risco</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source>National Key R&amp;D Program of China</funding-source>
          <award-id>2016 YFC1301100</award-id>
        </award-group>
        <funding-statement>O presente estudo foi financiado pela National Key R&amp;D Program of China, number 2016 YFC1301100.</funding-statement>
      </funding-group>
      <counts>
        <fig-count count="0"/>
        <table-count count="10"/>
        <equation-count count="2"/>
        <ref-count count="24"/>
        <page-count count="9"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>Para pacientes com infarto agudo do mioc&#225;rdio com eleva&#231;&#227;o do segmento ST (IAMCST), a reperfus&#227;o oportuna da art&#233;ria relacionada ao infarto (ARI) j&#225; se mostrou a estrat&#233;gia padr&#227;o-ouro para salvar o mioc&#225;rdio isqu&#234;mico e inibir a remodela&#231;&#227;o ventricular. Durante o procedimento de recanaliza&#231;&#227;o da art&#233;ria origem, independentemente da pat&#234;ncia do enxerto angiogr&#225;fico, muitos pacientes desenvolvem perfus&#227;o insuficiente no tecido mioc&#225;rdico decorrente de obstru&#231;&#227;o coronariana microvascular estrutural e funcional (OCM) no per&#237;odo perioperat&#243;rio.<xref ref-type="bibr" rid="B1"><sup>1</sup></xref> A OCM, que &#233; um reflexo de les&#227;o microvascular persistente e foi anteriormente entendida como &#8220;fen&#244;meno de no-reflow&#8221; (FNR), mostrou estar diretamente associada &#224; extens&#227;o da &#225;rea infartada e eventos cardiovasculares que aumentam e pioram o progn&#243;stico de curto e/ou longo prazo.<xref ref-type="bibr" rid="B2"><sup>2</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B3"><sup>3</sup></xref> No entanto, para pacientes com IAMCST que sofrem de OCM subsequente, nenhuma abordagem terap&#234;utica espec&#237;fica e definitiva de atenua&#231;&#227;o foi v&#225;lida nos testes de grande escala atuais, o que destaca a necessidade de abordar o reconhecimento precoce e o pr&#233;-tratamento de pacientes de alto risco.</p>
      <p>Recentemente, com base em alguns experimentos com animais e pesquisas cl&#237;nicas, o mecanismo subjacente da OCM em um cen&#225;rio de IAMCST agudo foi explorado. Embora a fisiopatologia exata n&#227;o esteja clara, v&#225;rios mecanismos, incluindo les&#227;o de isquemia/reperfus&#227;o, emboliza&#231;&#227;o distal e suscetibilidade individual, s&#227;o considerados respons&#225;veis pela deteriora&#231;&#227;o da perfus&#227;o microvascular integralmente.<xref ref-type="bibr" rid="B4"><sup>4</sup></xref> Consequentemente, apesar do fato de que numerosos ensaios sobre os poss&#237;veis fatores de influ&#234;ncia de OCM ou FNR foram conduzidos, um &#250;nico indicador pode n&#227;o ser preciso o suficiente para avaliar o estado de perfus&#227;o da microvasculatura. Com base nessa suposi&#231;&#227;o, desenvolvemos o modelo de risco SAK, composto por seis elementos independentes, incluindo tempo de in&#237;cio dos sintomas ao bal&#227;o (SO-B), n&#237;vel de ACT na admiss&#227;o, classifica&#231;&#227;o de Killip, idade, rela&#231;&#227;o neutr&#243;filos/linf&#243;citos (RNL) e glicose. O modelo demonstrou bom desempenho preditivo para risco de OCM. Outros modelos de previs&#227;o tamb&#233;m foram recentemente introduzidos por v&#225;rios centros, com diferentes vari&#225;veis e conclus&#245;es. Dentre eles, o escore ATI p&#244;de avaliar o comprometimento microvascular coronariano durante a interven&#231;&#227;o coron&#225;ria percut&#226;nea prim&#225;ria (ICP), na qual o IRM foi um par&#226;metro essencial.<xref ref-type="bibr" rid="B5"><sup>5</sup></xref></p>
      <p>Desde 2003, o &#237;ndice de resist&#234;ncia microcirculat&#243;ria (IRM) tem sido descrito e aplicado gradativamente como um novo par&#226;metro invasivo do fluxo microvascular coronariano.<xref ref-type="bibr" rid="B6"><sup>6</sup></xref> Comparado com outros m&#233;todos n&#227;o invasivos ou invasivos, o IRM tem as vantagens da boa reprodutibilidade, especificidade e independ&#234;ncia de estenose epic&#225;rdica e din&#226;mica. Portanto, adotamos o &#237;ndice como principal meio de avalia&#231;&#227;o da microvasculatura neste estudo. O objetivo deste artigo foi comparar o desempenho de previs&#227;o dos escores ATI e SAK para risco de OCM durante a ICP.</p>
    </sec>
    <sec sec-type="methods">
      <title>M&#233;todos</title>
      <sec>
        <title>Sele&#231;&#227;o de Pacientes</title>
        <p>Neste estudo prospectivo, os candidatos admitidos no Departamento de Cardiologia do Segundo Hospital da Universidade M&#233;dica de Hebei de janeiro de 2018 a abril de 2018 foram inscritos consecutivamente. Todos os participantes preencheram os seguintes crit&#233;rios: (1) ser diagnosticado com IAMCST de acordo com o padr&#227;o recomendados (sintomas t&#237;picos de dor no peito com dura&#231;&#227;o de mais de 30 minutos sem al&#237;vio, segmento ST elevado a 0,1 mV em pelo menos duas deriva&#231;&#245;es cont&#237;nuas ou presumivelmente um novo bloqueio de ramo esquerdo (BRE) no exame eletrocardiogr&#225;fico e valores aumentados de biomarcadores mioc&#225;rdicos ou troponina card&#237;aca de alta sensibilidade positiva 7); (2) PIC prim&#225;ria agendada no laborat&#243;rio de cateterismo de emerg&#234;ncia 24 horas ap&#243;s o in&#237;cio da dor tor&#225;cica at&#233; a admiss&#227;o; e (3) ter concordado com o exame de IRM durante o procedimento. Os participantes que preencheram as seguintes caracter&#237;sticas foram exclu&#237;dos do estudo: (1) ter recebido agentes trombol&#237;ticos intravenosos; (2) ter sofrido choque card&#237;aco; (3) recusar o cateterismo prim&#225;rio ou ter uma interven&#231;&#227;o seletiva agendada; (4) desenvolver dissec&#231;&#227;o ou complica&#231;&#245;es mec&#226;nicas durante o procedimento; (5) presen&#231;a de m&#250;ltiplas les&#245;es adequadas para cirurgia de revasculariza&#231;&#227;o do mioc&#225;rdio (CRM); (6) insufici&#234;ncia hep&#225;tica ou renal grave; (7) presen&#231;a de tumor maligno; e (8) ter contraindica&#231;&#227;o &#224; terapia antitromb&#243;tica e anticoagulante. O protocolo do estudo foi aprovado pelo comit&#234; de &#233;tica local, de acordo com a Declara&#231;&#227;o de Helsinque. Todos os pacientes selecionados assinaram o termo de consentimento livre e esclarecido antes do estudo.</p>
        <p>Na admiss&#227;o, os hist&#243;ricos m&#233;dicos dos pacientes foram imediata e brevemente coletados. Um eletrocardiograma de 18 deriva&#231;&#245;es foi realizado nos primeiros 10 minutos. Todos os pacientes receberam prescri&#231;&#227;o de doses de ataque de Aspirina (300mg) e Ticagrelor (180mg) ao receberem os diagn&#243;sticos de IAMCST. Amostras de sangue venoso foram coletadas para exames laboratoriais, incluindo rotina de sangue, ensaio bioqu&#237;mico [prote&#237;na C reativa de alta sensibilidade (PCR-as), fun&#231;&#227;o hep&#225;tica e renal, glicose, lip&#237;dios, eletr&#243;litos], biomarcadores mioc&#225;rdicos [creatina quinase e isoenzima creatinoquinase MB (CK, CK-MB)], troponina I card&#237;aca (cTnI), D-d&#237;mero, pept&#237;deo natriur&#233;tico cerebral de plasma (BNP) e tempo de coagula&#231;&#227;o ativado (TCA). O teste de TCA foi realizado com &#234;mbolo mec&#226;nico de dois canais (ACT plus, Medtronic Inc., Minneapolis, Minnesota, EUA) com temperatura de rea&#231;&#227;o de 37 &#186;C. Todos os participantes assinaram o termo de consentimento livre e esclarecido antes da opera&#231;&#227;o.</p>
      </sec>
      <sec>
        <title>Tratamento e Avalia&#231;&#227;o</title>
        <p>O procedimento foi realizado de acordo com a pr&#225;tica cl&#237;nica padr&#227;o via acesso radial, ulnar ou femoral. A revis&#227;o e a an&#225;lise angiogr&#225;fica foram realizadas por pelo menos dois cardiologistas intervencionistas qualificados. A gravidade da estenose da art&#233;ria coron&#225;ria foi medida usando o sistema Quantitative Coronary Analysis (QCA). Se o grau da ARI fosse superior a 75%, o implante de stent farmacol&#243;gico foi considerado uma terapia de reperfus&#227;o prim&#225;ria &#250;til. Os pacientes receberam heparina n&#227;o fracionada intravenosa (HNF) 70-100U/kg para manter os n&#237;veis de ACT de 250-300 segundos convencionalmente, enquanto a bivalirudina serviu como alternativa se os pacientes apresentassem alto risco de hemorragia. As doses do anticoagulante foram ajustadas com base nas condi&#231;&#245;es individuais dos pacientes e na aplica&#231;&#227;o do inibidor da glicoprote&#237;na (Tirofiban). Dispositivos de rotina (stents, bal&#245;es, cateteres e fios), procedimentos intervencionistas (os n&#250;meros e a press&#227;o de pr&#233;-dilata&#231;&#227;o e p&#243;s-dilata&#231;&#227;o, aspira&#231;&#227;o de trombo e implante de marcapasso tempor&#225;rio) e medica&#231;&#227;o adjuvante foram determinados pelos operadores.</p>
        <p>Os dados do tempo de reperfus&#227;o, incluindo o in&#237;cio dos sintomas at&#233; a introdu&#231;&#227;o do bal&#227;o (SO-B), o primeiro contato m&#233;dico at&#233; o procedimento com bal&#227;o (FMC-B) e o grau de fluxo inicial da tromb&#243;lise no infarto do mioc&#225;rdio (TIMI)<xref ref-type="bibr" rid="B8"><sup>8</sup></xref> da art&#233;ria origin&#225;ria foram cuidadosamente avaliados e registrados. Assim que o fio-guia cruzou ou o bal&#227;o inflou as les&#245;es origin&#225;rias, a carga de trombo da ARI foi analisada e avaliada.<xref ref-type="bibr" rid="B9"><sup>9</sup></xref> Ap&#243;s a revasculariza&#231;&#227;o, o grau de fluxo da TIMI, o grau de perfus&#227;o mioc&#225;rdica TIMI (GPTIMI)<xref ref-type="bibr" rid="B10"><sup>10</sup></xref> e a contagem de quadros TIMI corrigida (cTFC) da art&#233;ria foram avaliados, conforme descrito anteriormente. O cTFC da art&#233;ria origin&#225;ria foi contado a uma taxa de 15 quadros por segundo, de acordo com o m&#233;todo de Gibson.<xref ref-type="bibr" rid="B11"><sup>11</sup></xref> Todos os pacientes inscritos receberam terapia anticoagulante e antitromb&#243;tica, estatinas, bloqueador do receptor &#946;, inibidores da enzima de convers&#227;o da angiotensina/bloqueador do receptor da angiotensina e/ou nitratos, de acordo com as diretrizes mais recentes.</p>
        <p>Ap&#243;s a insufla&#231;&#227;o do bal&#227;o, todos os pacientes foram submetidos a IRM mediante coloca&#231;&#227;o de stent com o cabo de press&#227;o (Pressure Wire Certus, C12008, St. Jude Medical System AB, Uppsala, Su&#233;cia). O fio e o sensor de press&#227;o/temperatura foram colocados na extremidade distal do vaso. Ap&#243;s a calibra&#231;&#227;o do aparelho, 3 mL de solu&#231;&#227;o salina em temperatura ambiente foram injetados tr&#234;s vezes no cateter-guia para a coleta dos dados basais. O trifosfato de adenosina diss&#243;dico foi administrado por transfus&#227;o intravenosa a uma velocidade de 140<italic>&#956;</italic>g/kg&#183;min para atingir hiperemia coronariana. O tempo de tr&#226;nsito m&#233;dio hiper&#234;mico (Tmn-Hyp) foi obtido por inje&#231;&#227;o repetida de solu&#231;&#227;o salina. O valor da press&#227;o da art&#233;ria distante (Pd) exibido na tela foi cuidadosamente registrado e o fio de press&#227;o permaneceu na mesma posi&#231;&#227;o durante a avalia&#231;&#227;o do IRM para garantir a confiabilidade do resultado. Ap&#243;s a implanta&#231;&#227;o do stent, o valor IRM da art&#233;ria origin&#225;ria foi medido novamente para estimar o status de perfus&#227;o mioc&#225;rdica. Os valores de IRM pr&#233; e p&#243;s-interven&#231;&#227;o foram calculados usando a seguinte f&#243;rmula, sem considerar o aumento da press&#227;o coron&#225;ria:</p>
        <disp-formula id="eq1">
          <mml:math id="m1" display="block">
            <mml:mrow>
              <mml:mtext>IMR</mml:mtext>
              <mml:mo>=</mml:mo>
              <mml:mtext>Pd</mml:mtext>
              <mml:mo>&#215;</mml:mo>
              <mml:mtext>Tmn</mml:mtext>
              <mml:mo>&#8722;</mml:mo>
              <mml:msup>
                <mml:mrow>
                  <mml:mtext>Hyp</mml:mtext>
                </mml:mrow>
                <mml:mn>6</mml:mn>
              </mml:msup>
            </mml:mrow>
          </mml:math>
        </disp-formula>
        <p>Todos os participantes receberam n&#250;meros de identifica&#231;&#227;o de acordo com a ordem cronol&#243;gica da opera&#231;&#227;o e foram alocados em grupos diferentes de acordo com os valores IRM finais ap&#243;s a interven&#231;&#227;o: grupo NOM (N&#227;o obstru&#231;&#227;o microvascular), com valores IRM superiores a 40 U, e grupo OM (obstru&#231;&#227;o microvascular), com valores de IRM n&#227;o superiores a 40 U. O risco de OCM foi avaliado por meio de dois modelos de risco, sendo que cada pontua&#231;&#227;o foi calculada somando-se os pontos de todas as vari&#225;veis. Os detalhes do escore SAK est&#227;o apresentados na <xref ref-type="table" rid="t1">Tabela 1</xref> e do ATI, na <xref ref-type="table" rid="t2">Tabela 2</xref>.</p>
        <table-wrap id="t1">
          <label>Tabela 1</label>
          <caption>
            <title>Escore SAK</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="8%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle">Idade</th>
                <th align="center" valign="middle">Pontos</th>
                <th align="center" valign="middle">SO-B (hrs)</th>
                <th align="center" valign="middle">Pontos</th>
                <th align="center" valign="middle">TCA</th>
                <th align="center" valign="middle">Pontos</th>
                <th align="center" valign="middle">Killip</th>
                <th align="center" valign="middle">Pontos</th>
                <th align="center" valign="middle">RNL</th>
                <th align="center" valign="middle">Pontos</th>
                <th align="center" valign="middle">GLI</th>
                <th align="center" valign="middle">Pontos</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle">&#8804;65</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">0-1</td>
                <td align="center" valign="middle">1</td>
                <td align="center" valign="middle">&#8804; 60</td>
                <td align="center" valign="middle">9</td>
                <td align="center" valign="middle">I</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">&#8804;7,0</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">&#8804;12,0</td>
                <td align="center" valign="middle">0</td>
              </tr>
              <tr>
                <td align="left" valign="middle">&gt;65</td>
                <td align="center" valign="middle">2</td>
                <td align="center" valign="middle">1-2</td>
                <td align="center" valign="middle">2</td>
                <td align="center" valign="middle">60-80</td>
                <td align="center" valign="middle">8</td>
                <td align="center" valign="middle">I I</td>
                <td align="center" valign="middle">4</td>
                <td align="center" valign="middle">&gt;7,0</td>
                <td align="center" valign="middle">4</td>
                <td align="center" valign="middle">&gt;12,0</td>
                <td align="center" valign="middle">2</td>
              </tr>
              <tr>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">2-3</td>
                <td align="center" valign="middle">3</td>
                <td align="center" valign="middle">80-100</td>
                <td align="center" valign="middle">7</td>
                <td align="center" valign="middle">I I I</td>
                <td align="center" valign="middle">8</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">3-4</td>
                <td align="center" valign="middle">4</td>
                <td align="center" valign="middle">100-120</td>
                <td align="center" valign="middle">6</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">4-5</td>
                <td align="center" valign="middle">5</td>
                <td align="center" valign="middle">120-140</td>
                <td align="center" valign="middle">5</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">&#8230;</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">140-160</td>
                <td align="center" valign="middle">4</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">20-21</td>
                <td align="center" valign="middle">21</td>
                <td align="center" valign="middle">160-180</td>
                <td align="center" valign="middle">3</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">21-22</td>
                <td align="center" valign="middle">22</td>
                <td align="center" valign="middle">180-200</td>
                <td align="center" valign="middle">2</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">22-23</td>
                <td align="center" valign="middle">23</td>
                <td align="center" valign="middle">200-220</td>
                <td align="center" valign="middle">1</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">23-24</td>
                <td align="center" valign="middle">24</td>
                <td align="center" valign="middle">&gt;220</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN1">
              <p>SO-B: sintomas ao bal&#227;o; TCA: tempo de coagula&#231;&#227;o ativado; RNL: rela&#231;&#227;o neutr&#243;filos/linf&#243;citos; GLI: Glicose.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <table-wrap id="t2">
          <label>Tabela 2</label>
          <caption>
            <title>Escore ATI</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="16%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle">Idade</th>
                <th align="center" valign="middle">Pontos</th>
                <th align="center" valign="middle">Pontua&#231;&#227;o do trombo</th>
                <th align="center" valign="middle">Pontos</th>
                <th align="center" valign="middle">IRM-pr&#233;</th>
                <th align="center" valign="middle">Pontos</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle">&#8804;50</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">0-3</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">&lt; 40</td>
                <td align="center" valign="middle">0</td>
              </tr>
              <tr>
                <td align="left" valign="middle">&gt;50</td>
                <td align="center" valign="middle">1</td>
                <td align="center" valign="middle">4</td>
                <td align="center" valign="middle">1</td>
                <td align="center" valign="middle">40-100</td>
                <td align="center" valign="middle">1</td>
              </tr>
              <tr>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">5</td>
                <td align="center" valign="middle">3</td>
                <td align="center" valign="middle">&gt;100</td>
                <td align="center" valign="middle">2</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN2">
              <p>IRM: &#237;ndice de resist&#234;ncia microcirculat&#243;ria.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Uma ecocardiografia transtor&#225;cica bidimensional foi realizada sete dias ap&#243;s o procedimento em todos os pacientes para avalia&#231;&#227;o da fun&#231;&#227;o ventricular esquerda e remodela&#231;&#227;o.</p>
      </sec>
      <sec>
        <title>An&#225;lise Estat&#237;stica</title>
        <p>A an&#225;lise estat&#237;stica foi realizada no software SPSS (Vers&#227;o 23.0, SPSS Inc., Chicago, Illinois, EUA). Vari&#225;veis cont&#237;nuas foram testadas para distribui&#231;&#227;o normal com o teste de Kolmogorov-Smirnov. Os dados normalmente distribu&#237;dos foram apresentados em m&#233;dia &#177; desvio padr&#227;o (DP) e comparados pelo teste t de Student entre os grupos. Os dados com distribui&#231;&#227;o n&#227;o normal foram apresentados em mediana (primeiro quartil, terceiro quartil) e comparados pelo teste U de Mann-Whitney. Vari&#225;veis categ&#243;ricas foram expressas em porcentagem e comparadas por meio do teste qui-quadrado ou do teste exato de Fisher. O desempenho discriminat&#243;rio do modelo constru&#237;do foi examinado pela curva Caracter&#237;stica de Opera&#231;&#227;o do Receptor (ROC). A ilustra&#231;&#227;o da curva ROC dos escores foi feita no Software MedCalc (Vers&#227;o 15.2.2, Med Calc Software bvba, Ostend, B&#233;lgica). A &#225;rea sob a curva (AUC), o valor de corte, sensibilidade, a especificidade e o &#205;ndice de Youden correspondente de cada curva ROC foram ent&#227;o obtidos (&#205;ndice de Youden = sensibilidade + especificidade -1). Os escores foram comparados por meio de um teste n&#227;o param&#233;trico. O valor de p bicaudal de &lt;0,05 foi considerado estatisticamente significativo.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <sec>
        <title>Aloca&#231;&#227;o nos Grupos</title>
        <p>De janeiro de 2018 a abril de 2018, um total de 65 pacientes eleg&#237;veis com IAMCST foram inclu&#237;dos neste estudo. Com base no limiar IRM final de 40, alocamos 48 pacientes no grupo NOM e 17 no grupo OM, com uma incid&#234;ncia de OCM de 26,15%.</p>
      </sec>
      <sec>
        <title>Caracter&#237;sticas Cl&#237;nicas de Base</title>
        <p>A compara&#231;&#227;o dos dados demogr&#225;ficos, caracter&#237;sticas cl&#237;nicas basais e exames laboratoriais pr&#233;-operat&#243;rios entre os grupos est&#227;o na <xref ref-type="table" rid="t3">Tabela 3</xref>. N&#227;o foi observada diferen&#231;a significativa nos seguintes par&#226;metros: sexo, &#237;ndice de massa corporal (IMC), sinais vitais, hist&#243;ria pr&#233;via, contagem de hem&#225;cias, contagem de plaquetas, prote&#237;na C reativa de alta sensibilidade (PCR-as), eletr&#243;litos e lip&#237;dios (todos p&gt;0,05). A m&#233;dia de idade do grupo OM foi maior do que a do grupo NOM (p = 0,002). Os pacientes do grupo OM compartilharam uma propor&#231;&#227;o maior da classifica&#231;&#227;o de Killip 3 e uma propor&#231;&#227;o menor da Killip 1. Os escores GRACE e CRUSADE tamb&#233;m foram significativamente maiores no grupo OM. Houve diferen&#231;as estat&#237;sticas nos seguintes itens laboratoriais entre os grupos: contagem de leuc&#243;citos, contagem de neutr&#243;filos, contagem de linf&#243;citos, raz&#227;o neutr&#243;filos/linf&#243;citos (RNL), CK-MB, cTNI, ACT, creatinina s&#233;rica, eGFR, glicose, D-d&#237;mero e BNP (Todos p &lt;0,05).</p>
        <table-wrap id="t3">
          <label>Tabela 3</label>
          <caption>
            <title>Caracter&#237;sticas cl&#237;nicas basais entre os grupos</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="24%">
              <col width="1%"/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle" colspan="2">Vari&#225;veis</th>
                <th align="center" valign="middle">Grupo NOM (n=48)</th>
                <th align="center" valign="middle">Grupo OM (n=17)</th>
                <th align="center" valign="middle">Valor p</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle" colspan="2">Idade (anos)</td>
                <td align="center" valign="middle">56,51&#177;8,99</td>
                <td align="center" valign="middle">64,96&#177;9,43</td>
                <td align="center" valign="middle">0,002</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Masculino, n (%)</td>
                <td align="center" valign="middle">42(87,50)</td>
                <td align="center" valign="middle">13(76,47)</td>
                <td align="center" valign="middle">0,434</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">IMC (kg/m<sup>2</sup>)</td>
                <td align="center" valign="middle">24,76&#177;3,31</td>
                <td align="center" valign="middle">25,52&#177;3,12</td>
                <td align="center" valign="middle">0,412</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Press&#227;o arterial sist&#243;lica (mmHg)</td>
                <td align="center" valign="middle">128,54&#177;19,30</td>
                <td align="center" valign="middle">136,67&#177;22,49</td>
                <td align="center" valign="middle">0,158</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Press&#227;o arterial diast&#243;lica (mmHg)</td>
                <td align="center" valign="middle">79,03&#177;10,22</td>
                <td align="center" valign="middle">75,41&#177;14,80</td>
                <td align="center" valign="middle">0,271</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Frequ&#234;ncia card&#237;aca (bpm)</td>
                <td align="center" valign="middle">74,28&#177;18,69</td>
                <td align="center" valign="middle">77,35&#177;16,65</td>
                <td align="center" valign="middle">0,552</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Classifica&#231;&#227;o Killip</bold>
                </td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Classe I, n (%)</td>
                <td align="center" valign="middle">29(60,42)</td>
                <td align="center" valign="middle">4(23,53)</td>
                <td align="center" valign="middle">0,009</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Classe II, n (%)</td>
                <td align="center" valign="middle">16(33,33)</td>
                <td align="center" valign="middle">4(23,53)</td>
                <td align="center" valign="middle">0,452</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Classe III, n (%)</td>
                <td align="center" valign="middle">3(6,25)</td>
                <td align="center" valign="middle">9(52,94)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Hist&#243;rico de DAC, n (%)</td>
                <td align="center" valign="middle">25(52,08)</td>
                <td align="center" valign="middle">11(64,71)</td>
                <td align="center" valign="middle">0,368</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Hipertens&#227;o, n (%)</td>
                <td align="center" valign="middle">27(56,25)</td>
                <td align="center" valign="middle">10(58,82)</td>
                <td align="center" valign="middle">0,854</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Diabetes, n (%)</td>
                <td align="center" valign="middle">15(31,25)</td>
                <td align="center" valign="middle">9(52,94)</td>
                <td align="center" valign="middle">0,111</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Hiperlipidemia, n (%)</td>
                <td align="center" valign="middle">22(45,83)</td>
                <td align="center" valign="middle">8(47,06)</td>
                <td align="center" valign="middle">0,931</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Fumantes, n (%)</td>
                <td align="center" valign="middle">18(37,50)</td>
                <td align="center" valign="middle">9(52,94)</td>
                <td align="center" valign="middle">0,267</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Teste laboratorial na admiss&#227;o</bold>
                </td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Contagem de leuc&#243;citos (10<sup>9</sup>/ L)</td>
                <td align="center" valign="middle">9,84&#177;2,51</td>
                <td align="center" valign="middle">12,45&#177;2,89</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Contagem de neutr&#243;filos (10<sup>9</sup>/ L)</td>
                <td align="center" valign="middle">7,63(6,18, 9,09)</td>
                <td align="center" valign="middle">11,65(10,18, 13,00)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Contagem de linf&#243;citos (10<sup>9</sup>/ L)</td>
                <td align="center" valign="middle">1,60(1,26, 2,00)</td>
                <td align="center" valign="middle">1,46(1,08, 1,70)</td>
                <td align="center" valign="middle">0,184</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Raz&#227;o N/L</td>
                <td align="center" valign="middle">4,95(3,85, 7,00)</td>
                <td align="center" valign="middle">9,52(6,98, 10,56)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">PCR-as (mg/L)</td>
                <td align="center" valign="middle">4,10(2,10, 6,55)</td>
                <td align="center" valign="middle">4,30(2,95, 7,30)</td>
                <td align="center" valign="middle">0,565</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">TCA</td>
                <td align="center" valign="middle">154(135, 178)</td>
                <td align="center" valign="middle">105(88, 132)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">CK-MB (U/L)</td>
                <td align="center" valign="middle">111 (43, 251)</td>
                <td align="center" valign="middle">168(84, 335)</td>
                <td align="center" valign="middle">0,044</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Troponina card&#237;aca I (ng/mL)</td>
                <td align="center" valign="middle">3,5 (1,8, 8,9)</td>
                <td align="center" valign="middle">14,0(6,0, 28,5)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Creatinina s&#233;rica (&#956;mol/L)</td>
                <td align="center" valign="middle">77,50(71,35, 86,15)</td>
                <td align="center" valign="middle">87,8 (77,5, 93,73)</td>
                <td align="center" valign="middle">0,038</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">TFG (mL/min/1,73m<sup>2</sup>)</td>
                <td align="center" valign="middle">98,70&#177;14,62</td>
                <td align="center" valign="middle">85,89&#177;17,08</td>
                <td align="center" valign="middle">0,004</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Pot&#225;ssio s&#233;rico (mmol/L)</td>
                <td align="center" valign="middle">3,81&#177;0,55</td>
                <td align="center" valign="middle">3,83&#177;0,43</td>
                <td align="center" valign="middle">0,886</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">colesterol LDL (mmol/L)</td>
                <td align="center" valign="middle">2,87&#177;0,67</td>
                <td align="center" valign="middle">2,80&#177;0,83</td>
                <td align="center" valign="middle">0,717</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Glicose (mmol/L)</td>
                <td align="center" valign="middle">8,57&#177;1,88</td>
                <td align="center" valign="middle">11,31&#177;2,41</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">D&#237;mero-D (&#956;g/mL)</td>
                <td align="center" valign="middle">0,14(0,10, 0,23)</td>
                <td align="center" valign="middle">0,25 (0,16, 0,50)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">BNP (pg/mL)</td>
                <td align="center" valign="middle">50(26,150)</td>
                <td align="center" valign="middle">190(78,420)</td>
                <td align="center" valign="middle">0,003</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Medica&#231;&#227;o pr&#233;-procedimento</bold>
                </td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Terapia antiplaquet&#225;ria dupla, n (%)</td>
                <td align="center" valign="middle">48(100,00)</td>
                <td align="center" valign="middle">15(88,24)</td>
                <td align="center" valign="middle">0,065</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Estatinas, n (%)</td>
                <td align="center" valign="middle">24(50,00)</td>
                <td align="center" valign="middle">7(41,18)</td>
                <td align="center" valign="middle">0,531</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Bloqueador beta, n (%)</td>
                <td align="center" valign="middle">3(6,25)</td>
                <td align="center" valign="middle">2(11,76)</td>
                <td align="center" valign="middle">0,6</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Escore GRACE</td>
                <td align="center" valign="middle">137,48&#177;23,91</td>
                <td align="center" valign="middle">152,94&#177;27,97</td>
                <td align="center" valign="middle">0,032</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Escore CRUSADE</td>
                <td align="center" valign="middle">22,75&#177;12,34</td>
                <td align="center" valign="middle">29,77&#177;12,29</td>
                <td align="center" valign="middle">0,045</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN3">
              <p>NOM: n&#227;o-obstru&#231;&#227;o microvascular; IMC: &#237;ndice de massa corporal; DAC: doen&#231;a arterial coronariana; PCR-as: prote&#237;na C reativa de alta sensibilidade; TCA: tempo de coagula&#231;&#227;o ativado; TFG: taxa de filtra&#231;&#227;o glomerular; BNP: pept&#237;deo natriur&#233;tico do tipo B.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>An&#225;lise Angiogr&#225;fica e Medi&#231;&#227;o Invasiva de Perfus&#227;o Microvascular</title>
        <p>As caracter&#237;sticas angiogr&#225;ficas de todos os participantes est&#227;o resumidas na <xref ref-type="table" rid="t4">Tabela 4</xref>. O tempo SO-B do grupo OM foi aparentemente atrasado em compara&#231;&#227;o com o do grupo NOM (p = 0,002), sendo que n&#227;o houve diferen&#231;a significativa no tempo de FMC para o FMC-B (p = 0,843). Ap&#243;s a interven&#231;&#227;o, uma diferen&#231;a significativa em rela&#231;&#227;o aos indicadores de perfus&#227;o do fluxo sangu&#237;neo foi observada, incluindo a propor&#231;&#227;o do grau TIMI 3 (p&lt;0,001), cTFC (p&lt;0,001) e a propor&#231;&#227;o de GPTIMI 3 (p&lt;0,001). Outras informa&#231;&#245;es angiogr&#225;ficas e de procedimento, como distribui&#231;&#227;o da ARI, detalhes de stent, medica&#231;&#227;o, tratamento suplementar e volume de meio de contraste foram compar&#225;veis entre os grupos (todos p&gt;0,05).</p>
        <table-wrap id="t4">
          <label>Tabela 4</label>
          <caption>
            <title>Caracter&#237;sticas procedurais e angiogr&#225;ficas entre os grupos</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="24%">
              <col width="1%"/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle" colspan="2">Vari&#225;veis</th>
                <th align="center" valign="middle">Grupo NOM (n=48)</th>
                <th align="center" valign="middle">Grupo OM (n=17)</th>
                <th align="center" valign="middle">Valor p</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle" colspan="2">In&#237;cio at&#233; o bal&#227;o (hours)</td>
                <td align="center" valign="middle">4,0(3,0; 5,0)</td>
                <td align="center" valign="middle">6,5(5,0; 12,0)</td>
                <td align="center" valign="middle">0,002</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">FMC at&#233; o bal&#227;o (horas)</td>
                <td align="center" valign="middle">2,0(1,0; 3,0)</td>
                <td align="center" valign="middle">1,5(1,0; 2,8)</td>
                <td align="center" valign="middle">0,843</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Parede mioc&#225;rdica, n (%)</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Parede anterior</td>
                <td align="center" valign="middle">19(44,19)</td>
                <td align="center" valign="middle">9(52,94)</td>
                <td align="center" valign="middle">0,339</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Outros</td>
                <td align="center" valign="middle">29(55,81)</td>
                <td align="center" valign="middle">8(47,06)</td>
                <td align="center" valign="middle">0,339</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>N&#250;mero de art&#233;rias estenosadas, n (%)</bold>
                </td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">1</td>
                <td align="center" valign="middle">9(18,75)</td>
                <td align="center" valign="middle">4(23,53)</td>
                <td align="center" valign="middle">0,729</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">2</td>
                <td align="center" valign="middle">18(37,50)</td>
                <td align="center" valign="middle">7(41,18)</td>
                <td align="center" valign="middle">0,789</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">3</td>
                <td align="center" valign="middle">21 (43,75)</td>
                <td align="center" valign="middle">6(35,29)</td>
                <td align="center" valign="middle">0,543</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Fluxo TIMI inicial, n (%)</bold>
                </td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">0</td>
                <td align="center" valign="middle">27(56,25)</td>
                <td align="center" valign="middle">14(82,35)</td>
                <td align="center" valign="middle">0,055</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">1</td>
                <td align="center" valign="middle">8(16,67)</td>
                <td align="center" valign="middle">2(11,76)</td>
                <td align="center" valign="middle">1</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">2</td>
                <td align="center" valign="middle">8(16,67)</td>
                <td align="center" valign="middle">1(5,89)</td>
                <td align="center" valign="middle">0,426</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">3</td>
                <td align="center" valign="middle">5(10,41)</td>
                <td align="center" valign="middle">0(0,00)</td>
                <td align="center" valign="middle">0,315</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Pontua&#231;&#227;o de trombo, n (%)</bold>
                </td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">0-3</td>
                <td align="center" valign="middle">24(50,00)</td>
                <td align="center" valign="middle">1(5,56)</td>
                <td align="center" valign="middle">0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">4</td>
                <td align="center" valign="middle">20(41,67)</td>
                <td align="center" valign="middle">7(41,18)</td>
                <td align="center" valign="middle">0,972</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">5</td>
                <td align="center" valign="middle">4(8,33)</td>
                <td align="center" valign="middle">9(53,26)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Fluxo TIMI final, n (%)</bold>
                </td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">0</td>
                <td align="center" valign="middle">0(0,00)</td>
                <td align="center" valign="middle">1(5,88)</td>
                <td align="center" valign="middle">0,262</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">1</td>
                <td align="center" valign="middle">0(0,00)</td>
                <td align="center" valign="middle">3(17,65)</td>
                <td align="center" valign="middle">0,016</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">2</td>
                <td align="center" valign="middle">0(0,00)</td>
                <td align="center" valign="middle">11(64,71)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">3</td>
                <td align="center" valign="middle">48(100,00)</td>
                <td align="center" valign="middle">2(11,76)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">ARI-cTFC</td>
                <td align="center" valign="middle">24(20; 32)</td>
                <td align="center" valign="middle">48(36; 58)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>GPTIMI, n (%)</bold>
                </td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">0</td>
                <td align="center" valign="middle">0(0,00)</td>
                <td align="center" valign="middle">2(11,76)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">1</td>
                <td align="center" valign="middle">0(0,00)</td>
                <td align="center" valign="middle">5(29,41)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">2</td>
                <td align="center" valign="middle">5(10,42)</td>
                <td align="center" valign="middle">11(58,83)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">3</td>
                <td align="center" valign="middle">43(89,58)</td>
                <td align="center" valign="middle">0(0,00)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>IRM-pr&#233;</bold>
                </td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">&lt; 40</td>
                <td align="center" valign="middle">16(33,33)</td>
                <td align="center" valign="middle">1(5,58)</td>
                <td align="center" valign="middle">0,029</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">40-100</td>
                <td align="center" valign="middle">20(41,67)</td>
                <td align="center" valign="middle">5(29,41)</td>
                <td align="center" valign="middle">0,372</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">&gt;100</td>
                <td align="center" valign="middle">12(25,00)</td>
                <td align="center" valign="middle">11(64,71)</td>
                <td align="center" valign="middle">0,003</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>N&#250;mero do stent por paciente, n (%)</bold>
                </td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">1</td>
                <td align="center" valign="middle">42(87,50)</td>
                <td align="center" valign="middle">12(70,59)</td>
                <td align="center" valign="middle">0,138</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">&#8804;2</td>
                <td align="center" valign="middle">6(12,50)</td>
                <td align="center" valign="middle">5(29,41)</td>
                <td align="center" valign="middle">0,138</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Comprimento do stent (mm)</td>
                <td align="center" valign="middle">23(21; 28)</td>
                <td align="center" valign="middle">24(18; 31)</td>
                <td align="center" valign="middle">0,143</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Di&#226;metro do stent (mm)</td>
                <td align="center" valign="middle">2,25(2,20; 3,00)</td>
                <td align="center" valign="middle">2,50(2,25; 3,00)</td>
                <td align="center" valign="middle">0,859</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Press&#227;o de pr&#233;-dilata&#231;&#227;o (atm)</td>
                <td align="center" valign="middle">14(12; 16)</td>
                <td align="center" valign="middle">14(12; 15)</td>
                <td align="center" valign="middle">0,307</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">N&#250;meros de pr&#233;-dilata&#231;&#227;o</td>
                <td align="center" valign="middle">3(2; 5)</td>
                <td align="center" valign="middle">4(3; 5)</td>
                <td align="center" valign="middle">0,422</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Press&#227;o de expans&#227;o do stent (atm)</td>
                <td align="center" valign="middle">14(14; 16)</td>
                <td align="center" valign="middle">14(12; 16)</td>
                <td align="center" valign="middle">0,347</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Press&#227;o p&#243;s-dilata&#231;&#227;o (atm)</td>
                <td align="center" valign="middle">16(12; 17)</td>
                <td align="center" valign="middle">14(11; 16)</td>
                <td align="center" valign="middle">0,776</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">N&#250;meros p&#243;s-dilata&#231;&#227;o</td>
                <td align="center" valign="middle">2(2; 3)</td>
                <td align="center" valign="middle">2(1; 3)</td>
                <td align="center" valign="middle">0,689</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Aspira&#231;&#227;o de trombo, n (%)</td>
                <td align="center" valign="middle">12(25,00)</td>
                <td align="center" valign="middle">3(17,64)</td>
                <td align="center" valign="middle">0,741</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Marcapasso tempor&#225;rio, n (%)</td>
                <td align="center" valign="middle">4(8,33)</td>
                <td align="center" valign="middle">1(5,88)</td>
                <td align="center" valign="middle">1</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Circula&#231;&#227;o colateral, n (%)</td>
                <td align="center" valign="middle">9(18,75)</td>
                <td align="center" valign="middle">3(17,65)</td>
                <td align="center" valign="middle">1</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Volume do meio de contraste (mL)</td>
                <td align="center" valign="middle">160(140; 190)</td>
                <td align="center" valign="middle">180(150; 210)</td>
                <td align="center" valign="middle">0,06</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Medica&#231;&#227;o de procedimento, n (%)</bold>
                </td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Tirofiban</td>
                <td align="center" valign="middle">43(89,58)</td>
                <td align="center" valign="middle">14(82,35)</td>
                <td align="center" valign="middle">0,421</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Bivalirudina</td>
                <td align="center" valign="middle">9(18,75)</td>
                <td align="center" valign="middle">5(29,41)</td>
                <td align="center" valign="middle">0,493</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Anisodamina</td>
                <td align="center" valign="middle">8(16,67)</td>
                <td align="center" valign="middle">3(17,65)</td>
                <td align="center" valign="middle">1</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN4">
              <p>NOM: n&#227;o-obstru&#231;&#227;o microvascular; OM: obstru&#231;&#227;o microvascular; TIMI: tromb&#243;lise no infarto do mioc&#225;rdio; GPTIMI: grau de perfus&#227;o mioc&#225;rdica TIMI; IRM: &#237;ndice de resist&#234;ncia microcirculat&#243;ria</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Curva ROC dos Dois Escores e Compara&#231;&#227;o de AUC</title>
        <p>As pontua&#231;&#245;es correspondentes dos dois sistemas foram calculadas para todos os participantes. Com base nas pontua&#231;&#245;es e incid&#234;ncia de OCM, a curva ROC foi tra&#231;ada. Para os escores SAK, a AUC foi de 0,855 [intervalo de confian&#231;a (IC) de 95%: 0,746 - 0,930], com um valor de corte de 15 e um &#237;ndice de Youden de 0,6078. Para o escore ATI, a AUC foi de 0,907 (IC95%: 0,809 - 0,965), com valor de corte de 3 e &#205;ndice de Youden de 0,6875. N&#227;o houve diferen&#231;a significativa na AUC (Z = 1,001, p = 0,317) (<xref ref-type="table" rid="t5">Tabela 5</xref>).</p>
        <table-wrap id="t5">
          <label>Tabela 5</label>
          <caption>
            <title>Compara&#231;&#227;o de AUC e detalhes relacionados dos escores SAK e ATI</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="14%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle">Vari&#225;veis</th>
                <th align="center" valign="middle">AUC</th>
                <th align="center" valign="middle">IC95%</th>
                <th align="center" valign="middle">Ponto de corte</th>
                <th align="center" valign="middle">&#205;ndice Youden</th>
                <th align="center" valign="middle">Z</th>
                <th align="center" valign="middle">p</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle">Escore SAK</td>
                <td align="center" valign="middle">0,855</td>
                <td align="center" valign="middle">0,746 - 0,930</td>
                <td align="center" valign="middle">15</td>
                <td align="center" valign="middle">0,6078</td>
                <td align="center" valign="middle" rowspan="2">1,001</td>
                <td align="center" valign="middle" rowspan="2">0,317</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Escore ATI</td>
                <td align="center" valign="middle">0,907</td>
                <td align="center" valign="middle">0,809 - 0,965</td>
                <td align="center" valign="middle">3</td>
                <td align="center" valign="middle">0,6875</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Ecocardiografia</title>
        <p>Todos os pacientes aceitaram fazer a ecocardiografia transtor&#225;cica ap&#243;s o procedimento no hospital. A fra&#231;&#227;o de eje&#231;&#227;o do ventr&#237;culo esquerdo (FEVE) do grupo NOM foi maior do que a do grupo OM (56,03 &#177; 5,22 vs. 47,79 &#177; 6,38, p &lt;0,001).</p>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discuss&#227;o</title>
      <p>Apesar do grande progresso alcan&#231;ado nas estrat&#233;gias terap&#234;uticas do infarto do mioc&#225;rdio nas &#250;ltimas d&#233;cadas, o comprometimento microvascular continua sendo uma quest&#227;o importante durante o cateterismo prim&#225;rio. Estima-se que a reperfus&#227;o insuficiente no n&#237;vel do tecido mioc&#225;rdico possa chegar a 50% dos casos, apesar do sucesso da recanaliza&#231;&#227;o epic&#225;rdica.<xref ref-type="bibr" rid="B12"><sup>12</sup></xref> Os benef&#237;cios decorrentes das estrat&#233;gias de reperfus&#227;o farmac&#234;utica ou mec&#226;nica estariam comprometidos na presen&#231;a de obstru&#231;&#227;o coronariana microvascular, que est&#225; associada &#224; fun&#231;&#227;o card&#237;aca deficiente e desfechos desfavor&#225;veis.</p>
      <p>Devido &#224; falta de tratamento espec&#237;fico e atenua&#231;&#227;o da OCM, o reconhecimento precoce e o pr&#233;-tratamento de pacientes de alto risco s&#227;o de grande import&#226;ncia. Os indicadores de identifica&#231;&#227;o foram examinados intensamente por consider&#225;veis estudos anteriores. No entanto, considerando que se acredita que um grande n&#250;mero de mecanismos complicados contribua para o desenvolvimento da obstru&#231;&#227;o microvascular, um &#250;nico elemento pode n&#227;o ser convincente o suficiente na avalia&#231;&#227;o da predi&#231;&#227;o e estratifica&#231;&#227;o de risco. Portanto, a avalia&#231;&#227;o de sistemas compostos por v&#225;rios &#237;ndices para avaliar a probabilidade dessa complica&#231;&#227;o proporciona melhor detec&#231;&#227;o e diagn&#243;stico. Al&#233;m dos dois modelos analisados neste estudo, escores de FNR tamb&#233;m foram previamente desenvolvidos.</p>
      <p>Dogan et al.,<xref ref-type="bibr" rid="B13"><sup>13</sup></xref> relatou que a hiperglicemia, o tempo isqu&#234;mico prolongado e a baixa contagem de neutr&#243;filos s&#227;o atribu&#237;dos ao desenvolvimento do modelo de risco.<xref ref-type="bibr" rid="B13"><sup>13</sup></xref> Bayramogluet al.,<xref ref-type="bibr" rid="B14"><sup>14</sup></xref> construiu o modelo preditivo abrangendo idade, valor da FEVE, pontua&#231;&#227;o SYNTAX, comprimento do stent, pontua&#231;&#227;o da carga do trombo, classifica&#231;&#227;o de Killip e tempo de reperfus&#227;o.<xref ref-type="bibr" rid="B14"><sup>14</sup></xref> O estudo retrospectivo conduzido por Wang et al.,<xref ref-type="bibr" rid="B15"><sup>15</sup></xref> tamb&#233;m mostrou que idade, tempo da dor at&#233; ICP, contagem de neutr&#243;filos, n&#237;vel de glicose na admiss&#227;o, pontua&#231;&#227;o de trombo pr&#233;-ICP, circula&#231;&#227;o colateral e classifica&#231;&#227;o Killip poderiam ser adotados para estabelecer o modelo de no-reflow.<xref ref-type="bibr" rid="B15"><sup>15</sup></xref> Devido aos diferentes protocolos de estudo, tamanho da amostra, n&#227;o foram obtidas medidas auxiliares e conclus&#245;es consistentes.</p>
      <p>Em vez dos padr&#245;es angiogr&#225;ficos (fluxo sangu&#237;neo TIMI, GPTIMI ou graus de blush mioc&#225;rdico) aplicados nos ensaios cl&#237;nicos anteriores, o IRM foi introduzido para determinar a perfus&#227;o da microcircula&#231;&#227;o no presente estudo. O IRM, uma medida quantitativa derivada da termodilui&#231;&#227;o da fun&#231;&#227;o microvascular coronariana, foi proposto pela primeira vez por Fearon em 2003. O modelo Porcine tamb&#233;m foi usado para investigar a correla&#231;&#227;o entre o valor do IRM calculado e a resist&#234;ncia distal verdadeira, validando a viabilidade desta t&#233;cnica inovadora para estimar a resist&#234;ncia microvascular.<xref ref-type="bibr" rid="B6"><sup>6</sup></xref> Diferente de outras avalia&#231;&#245;es angiograficamente fisiol&#243;gicas e funcionais, o IRM compartilha as vantagens de independ&#234;ncia da estenose epic&#225;rdica, reprodutibilidade superior e instabilidade hemodin&#226;mica. Bulluck revisou a literatura e relatou que um limiar p&#243;s-procedimento de 40 U era v&#225;lido na identifica&#231;&#227;o de OCM para aqueles que realizaram medi&#231;&#245;es de IRM.<xref ref-type="bibr" rid="B16"><sup>16</sup></xref></p>
      <p>Al&#233;m de estar diretamente relacionado ao estado de perfus&#227;o do tecido mioc&#225;rdico, o IRM tamb&#233;m mostrou ter uma forte associa&#231;&#227;o com os n&#237;veis de pico de creatina quinase, progn&#243;stico do paciente e recupera&#231;&#227;o do desempenho ventricular no contexto de IAMCST,<xref ref-type="bibr" rid="B17"><sup>17</sup></xref><sup>&#8211;</sup><xref ref-type="bibr" rid="B20"><sup>20</sup></xref> que lan&#231;ou as bases para desenvolvimento do ATI. O escore ATI foi introduzido pela primeira vez por De Maria et al. consistindo principalmente de tr&#234;s caracter&#237;sticas, incluindo idade, escore de trombo e valor de IRM pr&#233;-stent.,<xref ref-type="bibr" rid="B5"><sup>5</sup></xref> O escore ATI tamb&#233;m foi considerado uma ferramenta promissora para prever reperfus&#227;o mioc&#225;rdica sub&#243;tima em pacientes com IAMCST e est&#225; correlacionado com a &#225;rea de infarto medida por resson&#226;ncia magn&#233;tica (RM) card&#237;aca em estudos subsequentes.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref></p>
      <p>Limitada por custos e regulamentos de seguro relacionados, entretanto, o IRM nem sempre est&#225; dispon&#237;vel ou &#233; aceit&#225;vel nas pr&#225;ticas atuais. Tamb&#233;m s&#243; poderia ser implementado no Laborat&#243;rio de Cateteriza&#231;&#227;o emergente. Nesse sentido, com base nas evid&#234;ncias existentes e em nossa experi&#234;ncia pr&#225;tica, rastreamos sistematicamente as poss&#237;veis informa&#231;&#245;es cl&#237;nicas e angiogr&#225;ficas, desenvolvendo escores preditivos SAK que incorporam seis vari&#225;veis convencionais: idade, classifica&#231;&#227;o de Killip, in&#237;cio dos sintomas ao tempo do bal&#227;o, n&#237;veis iniciais de TCA, RNL e valores de glicose. Nosso estudo anterior verificou sua capacidade e efic&#225;cia na avalia&#231;&#227;o de pacientes com alto risco de OCM.<xref ref-type="bibr" rid="B22"><sup>22</sup></xref> Portanto, tentamos comparar o desempenho dos escores SAK e ATI na previs&#227;o do risco potencial de microvasculatura prejudicada durante a interven&#231;&#227;o prim&#225;ria, auxiliando os m&#233;dicos no pr&#233;-tratamento imediato para minimizar a incid&#234;ncia desta condi&#231;&#227;o antes que o procedimento ocorra.</p>
      <p>Visivelmente, um valor de AUC ou &#237;ndice C acima de 0,75 em um modelo desenvolvido &#233; reconhecidamente uma valida&#231;&#227;o confi&#225;vel. A partir dos resultados obtidos, a AUC dos escores SAK e ATI foram de 0,855 e 0,907, respectivamente, o que provou que ambos os sistemas de estimativa foram capazes de prever o risco potencial de OCM e tiveram um bom desempenho. A AUC do escore ATI parecia mais alta, mas n&#227;o houve diferen&#231;a &#243;bvia no desempenho para a avalia&#231;&#227;o de risco.</p>
      <p>Embora o escore ATI tivesse um desempenho favor&#225;vel para previs&#227;o, havia algumas diferen&#231;as em compara&#231;&#227;o com o relat&#243;rio original de desenvolvimento da ATI. Em primeiro lugar, o padr&#227;o de pontua&#231;&#227;o de trombo mais comumente escolhido foi estabelecido por Gibson. No entanto, de acordo com a pr&#225;tica cl&#237;nica e dados anteriores, apenas 0,4% dos casos tiveram pontua&#231;&#227;o 5 ap&#243;s o fio-guia ou bal&#227;o passar pelas les&#245;es oclu&#237;das, enquanto quase 30% dos casos compartilharam uma pontua&#231;&#227;o de 4.<xref ref-type="bibr" rid="B23"><sup>23</sup></xref> Consequentemente, a pontua&#231;&#227;o da carga do trombo foi avaliada ap&#243;s a passagem do fio-guia ou insufla&#231;&#227;o do bal&#227;o. Em segundo lugar, o valor de pico dos biomarcadores mioc&#225;rdicos e da troponina card&#237;aca n&#227;o foram documentados como no estudo original, levando-se em considera&#231;&#227;o a ecocardiografia e que a diferen&#231;a da FEVE tamb&#233;m foi precisa o suficiente para mostrar a rela&#231;&#227;o entre a perfus&#227;o da microcircula&#231;&#227;o e a &#225;rea do infarto. A partir dos resultados da ecocardiografia, pudemos deduzir que os pacientes com OCM apresentavam pior fun&#231;&#227;o card&#237;aca, o que era consistente com as evid&#234;ncias existentes, enfatizando a import&#226;ncia particular de melhorar o estado de perfus&#227;o da circula&#231;&#227;o microvascular.<xref ref-type="bibr" rid="B24"><sup>24</sup></xref></p>
      <p>Apesar de suas vantagens, o IRM n&#227;o est&#225; dispon&#237;vel ou &#233; aplic&#225;vel na maioria dos hospitais locais e muitos pacientes recusam esse exame devido ao seu custo. Da mesma forma, um escore SAK consistindo em &#237;ndices comuns, atualmente, parecia ser uma alternativa no campo cl&#237;nico.</p>
      <p>Este estudo, entretanto, tem algumas limita&#231;&#245;es. Primeiro, foi um estudo de centro &#250;nico com amostra de tamanho relativamente pequeno. Os escores de risco foram validados pelas informa&#231;&#245;es de um banco de dados de centro &#250;nico. O poder discriminat&#243;rio dos modelos requer uma investiga&#231;&#227;o e valida&#231;&#227;o de escala amostral maior. Em segundo lugar, o TCA era um elemento essencial no escore SAK, enquanto o n&#237;vel de TCA &#233; influenciado por uma s&#233;rie de fatores na pr&#225;tica; portanto, o intervalo de refer&#234;ncia na pontua&#231;&#227;o pode ser diferente dependendo da equipe de teste e do equipamento. Terceiro, os pacientes com choque card&#237;aco n&#227;o foram inscritos, pois pode ser necess&#225;rio tratamento suplementar de suporte &#224; vida e as caracter&#237;sticas basais seriam desequilibradas para esses sujeitos.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclus&#227;o</title>
      <p>Neste estudo, nossos dados mostraram que os escores SAK e ATI tiveram um bom desempenho na estimativa do risco de OCM ap&#243;s o ICP prim&#225;rio para pacientes com IAMCST agudo. Portanto, esses escores s&#227;o precisos para prever OCM quando comparados &#224;s medidas invasivas obtidas no IRM.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="financial-disclosure" id="fn2">
        <p>
          <bold>Fontes de Financiamento</bold>
        </p>
        <p>O presente estudo foi financiado pela National Key R&amp;D Program of China, number 2016 YFC1301100.</p>
      </fn>
      <fn fn-type="other" id="fn3">
        <p>
          <bold>Vincula&#231;&#227;o Acad&#234;mica</bold>
        </p>
        <p>N&#227;o h&#225; vincula&#231;&#227;o deste estudo a programas de p&#243;s-gradua&#231;&#227;o.</p>
      </fn>
      <fn fn-type="other" id="fn4">
        <p>
          <bold>Aprova&#231;&#227;o &#201;tica e Consentimento Informado</bold>
        </p>
        <p>Este estudo foi aprovado pelo Comit&#234; de &#201;tica do Second Hospital of Hebei Medical University. 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>
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  <sub-article article-type="translation" id="S01" xml:lang="en">
    <front-stub>
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          <subject>Original Article</subject>
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          <name>
            <surname>Wang</surname>
            <given-names>Yanbo</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Wang</surname>
            <given-names>Wenlu</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Zhang</surname>
            <given-names>Qian</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Han</surname>
            <given-names>Yuping</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <xref ref-type="fn" rid="fn2">*</xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-7556-4869</contrib-id>
          <name>
            <surname>Fu</surname>
            <given-names>Xianghua</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>2</sup>
          </xref>
          <xref ref-type="fn" rid="fn2">*</xref>
        </contrib>
        <aff id="aff3">
          <label>1</label>
          <addr-line>
            <named-content content-type="city">Shijiazhuang</named-content>
          </addr-line>
          <country country="CN">China</country>
          <institution content-type="original">Hebei General Hospital - Department of Cardiology, Shijiazhuang, Hebei &#8211; China.</institution>
        </aff>
        <aff id="aff4">
          <label>2</label>
          <addr-line>
            <named-content content-type="city">Shijiazhuang</named-content>
          </addr-line>
          <country country="CN">China</country>
          <institution content-type="original">Second Hospital of Hebei Medical University - Department of Cardiology, Shijiazhuang, Hebei &#8211; China.</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c2"><bold>Mailing Address: Yuping Han</bold> &#8226; Department of Cardiology, Hebei General Hospital,No. 348 Heping West Road, Shijiazhuang <postal-code>050000</postal-code>, Hebei Province, China. E-mail: <email>hyp8@hotmail.com</email></corresp>
        <fn fn-type="other" id="fn2">
          <label>*</label>
          <p>The authors also contributed to this article</p>
        </fn>
        <fn fn-type="con">
          <p>
            <bold>Author Contributions</bold>
          </p>
          <p>Conception and design of the research: Xiao Y, Wang Y, Wang W, Zhang Q, Han Y, Fu X; Data acquisition: Chen H, Liu D, Wang W, Han Y; Analysis and interpretation of the data: Xiao Y, Liu D, Wang Y, Zhang Q, Fu X; Statistical analysis: Chen H, Wang Y, Wang W, Zhang Q; Obtaining financing: Xiao Y, Han Y, Fu X; Writing of the manuscript: Xiao Y, Chen H, Han Y, Fu X; Critical revision of the manuscript for intellectual content: Xiao Y, Liu D, Han Y, Fu X.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potential Conflict of Interest</bold>
          </p>
          <p>The authors report no conflict of interest concerning the materials and methods used in this study or the findings specified in this paper.</p>
        </fn>
      </author-notes>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background:</title>
          <p>For patients with ST-segment elevation myocardial infarction (STEMI) that are suffering from subsequent coronary microvascular functional and structural obstruction (CMVO), no specific and definitive therapeutic approaches of attenuation have been proven valid in up-to-date large-scale tests, which highlights the urge to address its early recognition.</p>
        </sec>
        <sec>
          <title>Objectives:</title>
          <p>This study aimed to compare the performance of two clinical risk scores with an objective measurement of CMVO during percutaneous coronary intervention (PCI) with STEMI.</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>The Index of Microcirculatory Resistance (IMR) measurement was conducted and the baseline clinical and angiographic parameters were also recorded. The patients were divided into MO (Microvascular obstruction) or NMO (Non-microvascular obstruction) groups according to the post-procedure IMR value. The CMVO risk was evaluated for all participants by SAK and ATI predictive scores, respectively. Each system was calculated by summing the scores of all variables. The receiver operator characteristic (ROC) curves and the area under the curve (AUC) of two risk models were used to evaluate the discriminatory performance. An echocardiography was performed seven days after the procedure to evaluate left ventricular ejection fraction (LVEF). A two-sided P-value of &lt;0.05 was considered statistically significant.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>Among the 65 eligible STEMI patients, 48 patients were allocated in the NMO group and 17 in the MO group, with a CMVO incidence of 26.15%. There was no significant difference in the AUC between both scores. The LVEF evaluated for the NMO group was higher than that of MO group.</p>
        </sec>
        <sec>
          <title>Conclusion:</title>
          <p>Both SAK and ATI scores performed well in estimating CMVO risk after primary PCI for STEMI patients.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Myocardial Infarction</kwd>
        <kwd>Percutaneous Coronary Intervention</kwd>
        <kwd>Coronary Obstruction</kwd>
        <kwd>Forecasting</kwd>
        <kwd>Risk Index</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source>National Key R&amp;D Program of China</funding-source>
          <award-id>YFC1301100</award-id>
        </award-group>
        <funding-statement>This study was funded by National Key R&amp;D Program of China, number 2016 YFC1301100</funding-statement>
      </funding-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>For patients with acute ST-segment elevation myocardial infarction (STEMI), the timely reperfusion of the infarct-related artery (IRA) has been shown to be the gold-standard strategy to save the ischemic myocardium and inhibit ventricular remodeling. During the recanalization procedure of the culprit artery, regardless of angiographic grafting patency, many patients develop insufficient perfusion in the myocardial tissue resulting from coronary microvascular functional and structural obstruction (CMVO) in the perioperative period.<xref ref-type="bibr" rid="B1"><sup>1</sup></xref> CMVO, which is a reflection of persistent microvascular injury and has been previously understood as the &#8220;no-reflow phenomenon&#8221; (NRF), was previously shown to be directly associated with infarcted area extension and cardiovascular events that increase and worsen patients&#8217; short and/or long-term prognosis.<xref ref-type="bibr" rid="B2"><sup>2</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B3"><sup>3</sup></xref> Nevertheless, for STEMI patients suffering from subsequent CMVO, no specific and definitive therapeutic approaches of attenuation have been valid in the present large-scale tests, which highlights the urge to address early recognition and the pretreatment of high-risk patients.</p>
        <p>Recently, based on some animal experiments and clinical research, the underlying mechanism of CMVO in an acute STEMI setting has been explored. Although the exact pathophysiology is unclear, multiple mechanisms including ischemia/reperfusion injury, distal embolization, and individual susceptibility are assumed to be responsible for deteriorating microvascular perfusion integrally.<xref ref-type="bibr" rid="B4"><sup>4</sup></xref> Accordingly, despite the fact that numerous trials on the possible influencing factors of CMVO or NRF have been conducted, one single indicator might not be accurate enough in evaluating the perfusion state of the microvasculature. Based on this assumption, we have developed the SAK risk model, composed of six independent elements, including symptom onset to balloon (SO-B) time, admission activated clotting time (ACT) level, Killip classification, age, neutrophil/lymphocyte ratio (NLR), and glucose value. The model was proven to have good predictive performance for CMVO risk. Other predicting models have also been recently introduced by various centers, with different variables and conclusions. Among them, the ATI score was capable of evaluating coronary microvascular impairment during primary percutaneous coronary intervention (PCI), in which IMR was an essential parameter.<xref ref-type="bibr" rid="B5"><sup>5</sup></xref></p>
        <p>Since 2003, the index of microcirculatory resistance (IMR) has been described and applied gradually as a new invasive parameter of the coronary microvascular flow.<xref ref-type="bibr" rid="B6"><sup>6</sup></xref> Compared with other noninvasive or invasive methods, IMR has the advantages of good reproducibility, specificity, and independence of epicardial stenosis and dynamics. Therefore, we adopted the IMR as the main means of assessment of the microvasculature in this study. The aim of this paper was to compare the predicting performance of the ATI and SAK scores for CMVO risk during PCI.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <sec>
          <title>Patient Selection</title>
          <p>In this prospective study, candidates admitted to the Cardiology Department of the Second Hospital of Hebei Medical University from January 2018 to April 2018 were enrolled consecutively. All participants met the following criteria: (1) being diagnosed with STEMI according to the guide-recommended standard (typical chest pain symptoms lasting more than 30 minutes without relief, ST-segment elevated 0.1 mV in at least two continuous leads or presumably new left bundle branch block (LBBB) on electrocardiographic examination and increased myocardial biomarker values or positive high-sensitive cardiac troponin)<xref ref-type="bibr" rid="B7"><sup>7</sup></xref>; (2) being scheduled for primary PCI in the emergent catheterization laboratory 24 hours after chest pain onset to admission; and (3) having agreed with IMR examination during the procedure. The participants who met the following features were excluded from the study: (1) having received intravenous thrombolytic agents; (2) having had experienced cardiac shock; (3) refusing primary catheterization or having a selective intervention planned; (4) developing dissection or mechanical complications during procedure; (5) presence of multiple lesions suitable for coronary artery bypass grafting (CABG); (6) presence of severe hepatic or renal insufficiency; (7) Presence of a malignant tumor; and (8) having a contraindication to antithrombotic and anticoagulation therapy. The study protocol was approved by the local ethics committee, as per the Helsinki Declaration. All the selected patients signed an informed consent form prior to the study.</p>
          <p>Upon admission, the patients&#8217; brief medical histories were immediately taken. An 18-lead electrocardiogram was performed within 10 minutes. All patients were prescribed with loading doses of Aspirin (300mg) and Ticagrelor (180mg) upon receiving the STEMI diagnoses. Venous blood samples were collected for laboratory testing, including blood routine, biochemical assay [high-sensitivity C-reactive protein (hs-CRP), hepatic and renal function, glucose, lipid, electrolyte], myocardial biomarkers [creatine kinase and its MB isozyme (CK, CK - MB)], cardiac troponin I (cTnI), D-Dimer, plasma brain natriuretic peptide (BNP), and ACT. The ACT test was performed with a two-channel mechanical plunger (ACT plus, Medtronic Inc., Minneapolis, Minnesota, USA) with reaction temperature of 37&#186;C. All participants signed an informed consent form prior to the operation.</p>
        </sec>
        <sec>
          <title>Treatment and Evaluation</title>
          <p>The interventional procedure was performed according to the standard clinical practice via radial, ulnar or femoral access. The angiographic review and analysis were accomplished by at least two qualified interventional cardiologists. The coronary artery stenosis severity was measured using the Quantitative Coronary Analysis (QCA) system. If the severity degree of the IRA was over 75%, drug-eluting stenting was considered a useful primary reperfusion therapy. The patients received intravenous unfractionated heparin (UFH) 70-100U/kg to maintain the ACT levels of 250-300 seconds conventionally, while Bivalirudin served as an alternative if patients had a high hemorrhage risk. Anticoagulant doses were adjusted based on the individual conditions of patients and on the application of the glycoprotein inhibitor (Tirofiban). Routine devices (stents, balloons, catheters, and wires), interventional procedures (the numbers and the pressure of pre-dilation and post-dilation, thrombus aspiration, and temporary pacemaker implantation), and adjuvant medication were determined by the operators. Reperfusion time data, including symptom onset to balloon time (SO-B) and first medical contact to balloon time (FMC-B) and the initial thrombolysis in myocardial infarction (TIMI) flow grade<xref ref-type="bibr" rid="B8"><sup>8</sup></xref> of the culprit artery were carefully assessed and recorded. As soon as the guidewire crossed or the balloon inflated the culprit lesions, the thrombus burden of the IRA was analyzed and scored.<xref ref-type="bibr" rid="B9"><sup>9</sup></xref> After revascularization, the TIMI flow grade, TIMI myocardial perfusion grade (TMPG),<xref ref-type="bibr" rid="B10"><sup>10</sup></xref> and corrected TIMI frame count (cTFC) of the artery were evaluated, as previously described. The culprit artery cTFC was counted at the rate of 15 frames per second, in accordance with the Gibson's method.<xref ref-type="bibr" rid="B11"><sup>11</sup></xref> All the enrolled patients received anticoagulant and antithrombotic therapy, statins, &#946; receptor blocker, angiotensin-converting enzyme inhibitors/angiotensin receptor blocker, and/or nitrates according to the latest guidelines.</p>
          <p>After balloon inflation, all patients were subjected to the IMR measurement upon stenting with the pressure wire (Pressure Wire Certus, C12008, St. Jude Medical System AB, Uppsala, Sweden). The wire and the pressure/temperature sensor on the head were placed on the distal end of the vessel. After the device calibration, 3 mL of saline at room temperature was injected three times through the guiding catheter to collect the baseline data. Adenosine disodium triphosphate was administered by intravenous transfusion at a speed of 140&#956;g/ kg&#183;min to achieve coronary hyperemia. The hyperemic mean transit time (Tmn-Hyp) was obtained by repeated saline injection. The value of the distant artery pressure (Pd) displayed on the screen was carefully recorded and the pressure wire remained in the same position during IMR assessment to guarantee the reliability of the result. After stent deployment, the IMR value of the culprit artery was measured again to estimate the myocardial perfusion status. Pre- and post-intervention IMR values were calculated using the following formula, without considering the coronary wedge pressure:</p>
          <disp-formula id="eq2">
            <mml:math id="m2" display="block">
              <mml:mrow>
                <mml:mtext>IMR</mml:mtext>
                <mml:mo>=</mml:mo>
                <mml:mtext>Pd</mml:mtext>
                <mml:mo>&#215;</mml:mo>
                <mml:mtext>Tmn</mml:mtext>
                <mml:mo>&#8722;</mml:mo>
                <mml:msup>
                  <mml:mrow>
                    <mml:mtext>Hyp</mml:mtext>
                  </mml:mrow>
                  <mml:mn>6</mml:mn>
                </mml:msup>
              </mml:mrow>
            </mml:math>
          </disp-formula>
          <p>All participants were given ID numbers according to the operation chronological order and were assigned to different groups according to the final IMR values after the intervention, namely the NMO (Non-Microvascular Obstruction) group, with IMR values over 40 U, and the MO (Microvascular Obstruction) group, with IMR values of not more than 40 U. The CMVO risk was evaluated for those participants by two risk models, each score was calculated by summing the points of all variables. The details of the SAK score are presented in <xref ref-type="table" rid="t6">Table 1</xref> and the ATI scores are listed in <xref ref-type="table" rid="t7">Table 2</xref>.</p>
          <table-wrap id="t6">
            <label>Table 1</label>
            <caption>
              <title>SAK score</title>
            </caption>
            <table frame="hsides" rules="rows">
              <colgroup width="8%">
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
                <tr>
                  <th align="left" valign="middle">Age</th>
                  <th align="center" valign="middle">Points</th>
                  <th align="center" valign="middle">SO-B (hrs)</th>
                  <th align="center" valign="middle">Points</th>
                  <th align="center" valign="middle">ACT</th>
                  <th align="center" valign="middle">Points</th>
                  <th align="center" valign="middle">Killip</th>
                  <th align="center" valign="middle">Points</th>
                  <th align="center" valign="middle">NLR</th>
                  <th align="center" valign="middle">Points</th>
                  <th align="center" valign="middle">GLU</th>
                  <th align="center" valign="middle">Points</th>
                </tr>
              </thead>
              <tbody style="border-bottom: thin solid; border-color: #000000">
                <tr>
                  <td align="left" valign="middle">&#8804;65</td>
                  <td align="center" valign="middle">0</td>
                  <td align="center" valign="middle">0-1</td>
                  <td align="center" valign="middle">1</td>
                  <td align="center" valign="middle">&#8804; 60</td>
                  <td align="center" valign="middle">9</td>
                  <td align="center" valign="middle">I</td>
                  <td align="center" valign="middle">0</td>
                  <td align="center" valign="middle">&#8804;7.0</td>
                  <td align="center" valign="middle">0</td>
                  <td align="center" valign="middle">&#8804;12.0</td>
                  <td align="center" valign="middle">0</td>
                </tr>
                <tr>
                  <td align="left" valign="middle">&gt;65</td>
                  <td align="center" valign="middle">2</td>
                  <td align="center" valign="middle">1-2</td>
                  <td align="center" valign="middle">2</td>
                  <td align="center" valign="middle">60-80</td>
                  <td align="center" valign="middle">8</td>
                  <td align="center" valign="middle">II</td>
                  <td align="center" valign="middle">4</td>
                  <td align="center" valign="middle">&gt;7.0</td>
                  <td align="center" valign="middle">4</td>
                  <td align="center" valign="middle">&gt;12.0</td>
                  <td align="center" valign="middle">2</td>
                </tr>
                <tr>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle">2-3</td>
                  <td align="center" valign="middle">3</td>
                  <td align="center" valign="middle">80-100</td>
                  <td align="center" valign="middle">7</td>
                  <td align="center" valign="middle">III</td>
                  <td align="center" valign="middle">8</td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle">3-4</td>
                  <td align="center" valign="middle">4</td>
                  <td align="center" valign="middle">100-120</td>
                  <td align="center" valign="middle">6</td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle">4-5</td>
                  <td align="center" valign="middle">5</td>
                  <td align="center" valign="middle">120-140</td>
                  <td align="center" valign="middle">5</td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle">&#8230;</td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle">140-160</td>
                  <td align="center" valign="middle">4</td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle">20-21</td>
                  <td align="center" valign="middle">21</td>
                  <td align="center" valign="middle">160-180</td>
                  <td align="center" valign="middle">3</td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle">21-22</td>
                  <td align="center" valign="middle">22</td>
                  <td align="center" valign="middle">180-200</td>
                  <td align="center" valign="middle">2</td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle">22-23</td>
                  <td align="center" valign="middle">23</td>
                  <td align="center" valign="middle">200-220</td>
                  <td align="center" valign="middle">1</td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle">23-24</td>
                  <td align="center" valign="middle">24</td>
                  <td align="center" valign="middle">&gt;220</td>
                  <td align="center" valign="middle">0</td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN5">
                <p>ACT: activated clotting time; NLR: neutrophil/lymphocyte ratio; GLU: glucose.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <table-wrap id="t7">
            <label>Table 2</label>
            <caption>
              <title>ATI score</title>
            </caption>
            <table frame="hsides" rules="rows">
              <colgroup width="16%">
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
                <tr>
                  <th align="left" valign="middle">Age</th>
                  <th align="center" valign="middle">Points</th>
                  <th align="center" valign="middle">Thrombus Score</th>
                  <th align="center" valign="middle">Points</th>
                  <th align="center" valign="middle">IMR-pre</th>
                  <th align="center" valign="middle">Points</th>
                </tr>
              </thead>
              <tbody style="border-bottom: thin solid; border-color: #000000">
                <tr>
                  <td align="left" valign="middle">&#8804;50</td>
                  <td align="center" valign="middle">0</td>
                  <td align="center" valign="middle">0-3</td>
                  <td align="center" valign="middle">0</td>
                  <td align="center" valign="middle">&lt; 40</td>
                  <td align="center" valign="middle">0</td>
                </tr>
                <tr>
                  <td align="left" valign="middle">&gt;50</td>
                  <td align="center" valign="middle">1</td>
                  <td align="center" valign="middle">4</td>
                  <td align="center" valign="middle">1</td>
                  <td align="center" valign="middle">40-100</td>
                  <td align="center" valign="middle">1</td>
                </tr>
                <tr>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle">5</td>
                  <td align="center" valign="middle">3</td>
                  <td align="center" valign="middle">&gt;100</td>
                  <td align="center" valign="middle">2</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN6">
                <p>IMR: Index of Microcirculatory Resistance.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <p>Two-dimension transthoracic echocardiography was performed seven days after the procedure to evaluate the left ventricular function and remodeling for all patients.</p>
        </sec>
        <sec>
          <title>Statistical Analysis</title>
          <p>The statistical analysis was conducted using the SPSS Software (Version 23.0, SPSS Inc., Chicago, Illinois, USA). Continuous variables were tested for normal distribution with the Kolmogorov-Smirnov's test. Normally distributed data were presented as mean &#177; standard deviation (SD) and compared by the Student t-test between groups. Non-normally distributed data were presented as median (First Quartile, Third Quartile) and compared by the Mann-Whitney U test. Categorical variables were reported as percentage and compared using the chi-square or the Fisher's exact test. The discriminatory performance of the built model was examined by the receiver operating characteristic (ROC) curve. The illustration of the scores&#8217; ROC was conducted using the MedCalc Software (Version 15.2.2, Med Calc Software bvba, Ostend, Belgium). The area under the curve (AUC), cut-off value, sensitivity, specificity, and corresponding Youden Index of each ROC was then obtained (Youden Index = sensitivity+ specificity -1). The comparison between scores was performed using a non-parametric test. A two-tailed <italic>P</italic>-value of &lt;0.05 was considered statistically significant.</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <sec>
          <title>Group Enrollment</title>
          <p>From January 2018 to April 2018, a total of 65 eligible STEMI patients were enrolled in this study. Based on the final IMR threshold of 40, we allocated 48 patients in the NMO group and 17 in the MO group, with a CMVO incidence of 26.15%.</p>
        </sec>
        <sec>
          <title>Baseline Clinical Characteristics</title>
          <p>The comparison of demographic data, baseline clinical characteristics, and preoperative laboratory tests between groups are shown in <xref ref-type="table" rid="t8">Table 3</xref>. No significant difference was observed in the following parameters: gender, body mass index (BMI), vital signs, previous history, red blood cell count, platelet count, high-sensitivity C-reactive protein (hs-CRP), electrolyte and lipid (All p&gt;0.05). The mean age of the MO group was higher than that of the NMO group (p=0.002). The patients in the MO group shared a higher proportion of the Killip class 3 and a lower proportion of the Killip class 1. The GRACE and the CRUSADE scores were also significantly higher in the MO group. There were statistical differences in the following laboratory items between groups: white blood count, neutrophil count, lymphocyte count, neutrophil/lymphocyte ratio (NLR), CK-MB, cTNI, ACT, serum creatinine, eGFR, glucose, D-Dimer, and BNP (All p&lt;0.05).</p>
          <table-wrap id="t8">
            <label>Table 3</label>
            <caption>
              <title>Baseline clinical characteristics between groups</title>
            </caption>
            <table frame="hsides" rules="rows">
              <colgroup width="24%">
                <col width="1%"/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
                <tr>
                  <th align="left" valign="middle" colspan="2">Variables</th>
                  <th align="center" valign="middle">NMO group (n=48)</th>
                  <th align="center" valign="middle">MO group (n=17)</th>
                  <th align="center" valign="middle">p value</th>
                </tr>
              </thead>
              <tbody style="border-bottom: thin solid; border-color: #000000">
                <tr>
                  <td align="left" valign="middle" colspan="2">Age (years)</td>
                  <td align="center" valign="middle">56.51&#177;8.99</td>
                  <td align="center" valign="middle">64.96&#177;9.43</td>
                  <td align="center" valign="middle">0.002</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Male, n (%)</td>
                  <td align="center" valign="middle">42(87.50)</td>
                  <td align="center" valign="middle">13(76.47)</td>
                  <td align="center" valign="middle">0.434</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">BMI (kg/m<sup>2</sup>)</td>
                  <td align="center" valign="middle">24.76&#177;3.31</td>
                  <td align="center" valign="middle">25.52&#177;3.12</td>
                  <td align="center" valign="middle">0.412</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Systolic blood pressure (mmHg)</td>
                  <td align="center" valign="middle">128.54&#177;19.30</td>
                  <td align="center" valign="middle">136.67&#177;22.49</td>
                  <td align="center" valign="middle">0.158</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Diastolic blood pressure (mmHg)</td>
                  <td align="center" valign="middle">79.03&#177;10.22</td>
                  <td align="center" valign="middle">75.41&#177;14.80</td>
                  <td align="center" valign="middle">0.271</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Heart Rate (bpm)</td>
                  <td align="center" valign="middle">74.28&#177;18.69</td>
                  <td align="center" valign="middle">77.35&#177;16.65</td>
                  <td align="center" valign="middle">0.552</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Killip Grade</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Grade I, n (%)</td>
                  <td align="center" valign="middle">29(60.42)</td>
                  <td align="center" valign="middle">4(23.53)</td>
                  <td align="center" valign="middle">0.009</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Grade II, n (%)</td>
                  <td align="center" valign="middle">16(33.33)</td>
                  <td align="center" valign="middle">4(23.53)</td>
                  <td align="center" valign="middle">0.452</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Grade III, n (%)</td>
                  <td align="center" valign="middle">3(6.25)</td>
                  <td align="center" valign="middle">9(52.94)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">History of CAD, n (%)</td>
                  <td align="center" valign="middle">25(52.08)</td>
                  <td align="center" valign="middle">11(64.71)</td>
                  <td align="center" valign="middle">0.368</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Hypertension, n (%)</td>
                  <td align="center" valign="middle">27(56.25)</td>
                  <td align="center" valign="middle">10(58.82)</td>
                  <td align="center" valign="middle">0.854</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Diabetes, n (%)</td>
                  <td align="center" valign="middle">15(31.25)</td>
                  <td align="center" valign="middle">9(52.94)</td>
                  <td align="center" valign="middle">0.111</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Hyperlipidemia, n (%)</td>
                  <td align="center" valign="middle">22(45.83)</td>
                  <td align="center" valign="middle">8(47.06)</td>
                  <td align="center" valign="middle">0.931</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Smoking, n (%)</td>
                  <td align="center" valign="middle">18(37.50)</td>
                  <td align="center" valign="middle">9(52.94)</td>
                  <td align="center" valign="middle">0.267</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Laboratory test on admission</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">WBC count (10<sup>9</sup>/ L)</td>
                  <td align="center" valign="middle">9.84&#177;2.51</td>
                  <td align="center" valign="middle">12.45&#177;2.89</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Neutrophil count (10<sup>9</sup>/ L)</td>
                  <td align="center" valign="middle">7.63(6.18, 9.09)</td>
                  <td align="center" valign="middle">11.65(10.18, 13.00)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Lymphocyte count (10<sup>9</sup>/ L)</td>
                  <td align="center" valign="middle">1.60(1.26, 2.00)</td>
                  <td align="center" valign="middle">1.46(1.08, 1.70)</td>
                  <td align="center" valign="middle">0.184</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">N/L ratio</td>
                  <td align="center" valign="middle">4.95(3.85, 7.00)</td>
                  <td align="center" valign="middle">9.52(6.98, 10.56)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">hs-CRP (mg/L)</td>
                  <td align="center" valign="middle">4.10(2.10, 6.55)</td>
                  <td align="center" valign="middle">4.30(2.95, 7.30)</td>
                  <td align="center" valign="middle">0.565</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">ACT</td>
                  <td align="center" valign="middle">154(135, 178)</td>
                  <td align="center" valign="middle">105(88, 132)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">CK-MB (U/L)</td>
                  <td align="center" valign="middle">111 (43, 251)</td>
                  <td align="center" valign="middle">168(84, 335)</td>
                  <td align="center" valign="middle">0.044</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Cardiac troponin I (ng/mL)</td>
                  <td align="center" valign="middle">3.5 (1.8, 8.9)</td>
                  <td align="center" valign="middle">14.0(6.0, 28.5)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Serum Creatinine (&#956;mol/L)</td>
                  <td align="center" valign="middle">77.50(71.35, 86.15)</td>
                  <td align="center" valign="middle">87.8 (77.5, 93.73)</td>
                  <td align="center" valign="middle">0.038</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Glomerular filtration rate (eGFR) (mL/min/1.73m<sup>2</sup>)</td>
                  <td align="center" valign="middle">98.70&#177;14.62</td>
                  <td align="center" valign="middle">85.89&#177;17.08</td>
                  <td align="center" valign="middle">0.004</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Serum Potassium (mmol/L)</td>
                  <td align="center" valign="middle">3.81&#177;0.55</td>
                  <td align="center" valign="middle">3.83&#177;0.43</td>
                  <td align="center" valign="middle">0.886</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">LDL cholesterol (mmol/L)</td>
                  <td align="center" valign="middle">2.87&#177;0.67</td>
                  <td align="center" valign="middle">2.80&#177;0.83</td>
                  <td align="center" valign="middle">0.717</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Glucose (mmol/L)</td>
                  <td align="center" valign="middle">8.57&#177;1.88</td>
                  <td align="center" valign="middle">11.31&#177;2.41</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">D-Dimer (&#956;g/mL)</td>
                  <td align="center" valign="middle">0.14(0.10, 0.23)</td>
                  <td align="center" valign="middle">0.25 (0.16, 0.50)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Type B natriuretic peptide, BNP (pg/mL)</td>
                  <td align="center" valign="middle">50(26,150)</td>
                  <td align="center" valign="middle">190(78,420)</td>
                  <td align="center" valign="middle">0.003</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Preprocedural medication</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Dual Antiplatelet Therapy, DAPT, n (%)</td>
                  <td align="center" valign="middle">48(100.00)</td>
                  <td align="center" valign="middle">15(88.24)</td>
                  <td align="center" valign="middle">0.065</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Statins, n (%)</td>
                  <td align="center" valign="middle">24(50.00)</td>
                  <td align="center" valign="middle">7(41.18)</td>
                  <td align="center" valign="middle">0.531</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Beta-blocker, n (%)</td>
                  <td align="center" valign="middle">3(6.25)</td>
                  <td align="center" valign="middle">2(11.76)</td>
                  <td align="center" valign="middle">0.6</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">GRACE score</td>
                  <td align="center" valign="middle">137.48&#177;23.91</td>
                  <td align="center" valign="middle">152.94&#177;27.97</td>
                  <td align="center" valign="middle">0.032</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">CRUSADE score</td>
                  <td align="center" valign="middle">22.75&#177;12.34</td>
                  <td align="center" valign="middle">29.77&#177;12.29</td>
                  <td align="center" valign="middle">0.045</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN7">
                <p>NMO: Non-microvascular obstruction; MO: microvascular obstruction; BMI: body mass index; CAD: coronary artery disease; hs-CRP: high-sensitivity C-reactive protein; ACT: activated clotting time;</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec>
          <title>Angiographic Analysis and Invasive Measurement of Microvascular Perfusion</title>
          <p>The angiographic features of all participants are summarized in <xref ref-type="table" rid="t9">Table 4</xref>. The SO-B time of the MO group was apparently delayed compared with that of the NMO group (p=0.002), while there wasn&#8217;t a significant difference in the FMC to FMC-B time (p=0.843). After the intervention, a significant difference regarding the blood flow perfusion indicators was observed, including TIMI 3 grade proportion (p&lt;0.001), cTFC (p&lt;0.001), and the proportion of TMPG 3 (p&lt;0.001). Other angiographic and procedural information, such as IRA distribution, stenting details, medication, supplementary treatment, and contrast media volume were comparable between groups (All p&gt;0.05).</p>
          <table-wrap id="t9">
            <label>Table 4</label>
            <caption>
              <title>Procedural and angiographic features between groups</title>
            </caption>
            <table frame="hsides" rules="rows">
              <colgroup width="24%">
                <col width="1%"/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
                <tr>
                  <th align="left" valign="middle" colspan="2">Variables</th>
                  <th align="center" valign="middle">NMO group (n=48)</th>
                  <th align="center" valign="middle">MO group (n=17)</th>
                  <th align="center" valign="middle">p value</th>
                </tr>
              </thead>
              <tbody style="border-bottom: thin solid; border-color: #000000">
                <tr>
                  <td align="left" valign="middle" colspan="2">Onset to balloon (hours)</td>
                  <td align="center" valign="middle">4.0(3.0, 5.0)</td>
                  <td align="center" valign="middle">6.5(5.0, 12.0)</td>
                  <td align="center" valign="middle">0.002</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">FMC to balloon (hours)</td>
                  <td align="center" valign="middle">2.0(1.0, 3.0)</td>
                  <td align="center" valign="middle">1.5(1.0, 2.8)</td>
                  <td align="center" valign="middle">0.843</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Myocardial Wall, n (%)</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="left" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Anterior Wall</td>
                  <td align="center" valign="middle">19(44.19)</td>
                  <td align="center" valign="middle">9(52.94)</td>
                  <td align="center" valign="middle">0.339</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Others</td>
                  <td align="center" valign="middle">29(55.81)</td>
                  <td align="center" valign="middle">8(47.06)</td>
                  <td align="center" valign="middle">0.339</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Stenosed artery number, n (%)</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">1</td>
                  <td align="center" valign="middle">9(18.75)</td>
                  <td align="center" valign="middle">4(23.53)</td>
                  <td align="center" valign="middle">0.729</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">2</td>
                  <td align="center" valign="middle">18(37.50)</td>
                  <td align="center" valign="middle">7(41.18)</td>
                  <td align="center" valign="middle">0.789</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">3</td>
                  <td align="center" valign="middle">21 (43.75)</td>
                  <td align="center" valign="middle">6(35.29)</td>
                  <td align="center" valign="middle">0.543</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Initial TIMI flow, n (%)</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">0</td>
                  <td align="center" valign="middle">27(56.25)</td>
                  <td align="center" valign="middle">14(82.35)</td>
                  <td align="center" valign="middle">0.055</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">1</td>
                  <td align="center" valign="middle">8(16.67)</td>
                  <td align="center" valign="middle">2(11.76)</td>
                  <td align="center" valign="middle">1</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">2</td>
                  <td align="center" valign="middle">8(16.67)</td>
                  <td align="center" valign="middle">1(5.89)</td>
                  <td align="center" valign="middle">0.426</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">3</td>
                  <td align="center" valign="middle">5(10.41)</td>
                  <td align="center" valign="middle">0(0.00)</td>
                  <td align="center" valign="middle">0.315</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Thrombus score, n (%)</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">0-3</td>
                  <td align="center" valign="middle">24(50.00)</td>
                  <td align="center" valign="middle">1(5.56)</td>
                  <td align="center" valign="middle">0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">4</td>
                  <td align="center" valign="middle">20(41.67)</td>
                  <td align="center" valign="middle">7(41.18)</td>
                  <td align="center" valign="middle">0.972</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">5</td>
                  <td align="center" valign="middle">4(8.33)</td>
                  <td align="center" valign="middle">9(53.26)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Final TIMI flow, n (%)</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">0</td>
                  <td align="center" valign="middle">0(0.00)</td>
                  <td align="center" valign="middle">1(5.88)</td>
                  <td align="center" valign="middle">0.262</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">1</td>
                  <td align="center" valign="middle">0(0.00)</td>
                  <td align="center" valign="middle">3(17.65)</td>
                  <td align="center" valign="middle">0.016</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">2</td>
                  <td align="center" valign="middle">0(0.00)</td>
                  <td align="center" valign="middle">11(64.71)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">3</td>
                  <td align="center" valign="middle">48(100.00)</td>
                  <td align="center" valign="middle">2(11.76)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">IRA-cTFC</td>
                  <td align="center" valign="middle">24(20, 32)</td>
                  <td align="center" valign="middle">48(36, 58)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>TMPG, n (%)</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">0</td>
                  <td align="center" valign="middle">0(0.00)</td>
                  <td align="center" valign="middle">2(11.76)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">1</td>
                  <td align="center" valign="middle">0(0.00)</td>
                  <td align="center" valign="middle">5(29.41)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">2</td>
                  <td align="center" valign="middle">5(10.42)</td>
                  <td align="center" valign="middle">11(58.83)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">3</td>
                  <td align="center" valign="middle">43(89.58)</td>
                  <td align="center" valign="middle">0(0.00)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>IMR-pre</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">&lt; 40</td>
                  <td align="center" valign="middle">16(33.33)</td>
                  <td align="center" valign="middle">1(5.58)</td>
                  <td align="center" valign="middle">0.029</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">40-100</td>
                  <td align="center" valign="middle">20(41.67)</td>
                  <td align="center" valign="middle">5(29.41)</td>
                  <td align="center" valign="middle">0.372</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">&gt;100</td>
                  <td align="center" valign="middle">12(25.00)</td>
                  <td align="center" valign="middle">11(64.71)</td>
                  <td align="center" valign="middle">0.003</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Stent number per patient, n (%)</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">1</td>
                  <td align="center" valign="middle">42(87.50)</td>
                  <td align="center" valign="middle">12(70.59)</td>
                  <td align="center" valign="middle">0.138</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">&#8804;2</td>
                  <td align="center" valign="middle">6(12.50)</td>
                  <td align="center" valign="middle">5(29.41)</td>
                  <td align="center" valign="middle">0.138</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Stent length (mm)</td>
                  <td align="center" valign="middle">23(21, 28)</td>
                  <td align="center" valign="middle">24(18, 31)</td>
                  <td align="center" valign="middle">0.143</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Stent diameter (mm)</td>
                  <td align="center" valign="middle">2.25(2.20, 3.00)</td>
                  <td align="center" valign="middle">2.50(2.25, 3.00)</td>
                  <td align="center" valign="middle">0.859</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Pre-dilation pressure (atm)</td>
                  <td align="center" valign="middle">14(12, 16)</td>
                  <td align="center" valign="middle">14(12, 15)</td>
                  <td align="center" valign="middle">0.307</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Pre-dilation numbers</td>
                  <td align="center" valign="middle">3(2, 5)</td>
                  <td align="center" valign="middle">4(3, 5)</td>
                  <td align="center" valign="middle">0.422</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">stent expansion pressure (atm)</td>
                  <td align="center" valign="middle">14(14, 16)</td>
                  <td align="center" valign="middle">14(12, 16)</td>
                  <td align="center" valign="middle">0.347</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Post-dilation pressure (atm)</td>
                  <td align="center" valign="middle">16(12, 17)</td>
                  <td align="center" valign="middle">14(11, 16)</td>
                  <td align="center" valign="middle">0.776</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Post-dilation numbers</td>
                  <td align="center" valign="middle">2(2, 3)</td>
                  <td align="center" valign="middle">2(1, 3)</td>
                  <td align="center" valign="middle">0.689</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Thrombus aspiration, n (%)</td>
                  <td align="center" valign="middle">12(25.00)</td>
                  <td align="center" valign="middle">3(17.64)</td>
                  <td align="center" valign="middle">0.741</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Temporary pacemaker, n (%)</td>
                  <td align="center" valign="middle">4(8.33)</td>
                  <td align="center" valign="middle">1(5.88)</td>
                  <td align="center" valign="middle">1</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Collateral circulation, n (%)</td>
                  <td align="center" valign="middle">9(18.75)</td>
                  <td align="center" valign="middle">3(17.65)</td>
                  <td align="center" valign="middle">1</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">Contrast media volume (mL)</td>
                  <td align="center" valign="middle">160(140, 190)</td>
                  <td align="center" valign="middle">180(150, 210)</td>
                  <td align="center" valign="middle">0.06</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Procedural medication, n (%)</bold>
                  </td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Tirofiban</td>
                  <td align="center" valign="middle">43(89.58)</td>
                  <td align="center" valign="middle">14(82.35)</td>
                  <td align="center" valign="middle">0.421</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Bivalirudin</td>
                  <td align="center" valign="middle">9(18.75)</td>
                  <td align="center" valign="middle">5(29.41)</td>
                  <td align="center" valign="middle">0.493</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Anisodamine</td>
                  <td align="center" valign="middle">8(16.67)</td>
                  <td align="center" valign="middle">3(17.65)</td>
                  <td align="center" valign="middle">1</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN8">
                <p>NMO: Non-microvascular obstruction; MO: microvascular obstruction; FMC: first medical contact; TIMI: thrombolysis in myocardial infarction; TMPG: TIMI myocardial perfusion grade.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec>
          <title>ROC Curve of Two Scores and Comparison of AUC</title>
          <p>The corresponding scores of the two systems were calculated for all participants. Based on the scores and CMVO incidence, the ROC curve was plotted. For the SAK scores, the AUC was 0.855 [95% confidence interval (CI): 0.746 - 0.930], with a cut-off value of 15 and a Youden Index of 0.6078. For the ATI score, the AUC was 0.907 (95%CI: 0.809 - 0.965), with a cut-off value of 3 and a Youden Index of 0.6875. There was no significant difference in the AUC (Z=1.001, p=0.317) (<xref ref-type="table" rid="t10">Table 5</xref>).</p>
          <table-wrap id="t10">
            <label>Table 5</label>
            <caption>
              <title>Comparison of AUC and related details of SAK and ATI Scores</title>
            </caption>
            <table frame="hsides" rules="rows">
              <colgroup width="14%">
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
                <tr>
                  <th align="left" valign="middle">Variables</th>
                  <th align="center" valign="middle">AUC</th>
                  <th align="center" valign="middle">95%CI</th>
                  <th align="center" valign="middle">Cut-off point</th>
                  <th align="center" valign="middle">Youden Index</th>
                  <th align="center" valign="middle">Z</th>
                  <th align="center" valign="middle">p</th>
                </tr>
              </thead>
              <tbody style="border-bottom: thin solid; border-color: #000000">
                <tr>
                  <td align="left" valign="middle">SAK Score</td>
                  <td align="center" valign="middle">0.855</td>
                  <td align="center" valign="middle">0.746 - 0.930</td>
                  <td align="center" valign="middle">15</td>
                  <td align="center" valign="middle">0.6078</td>
                  <td align="center" valign="middle" rowspan="2">1.001</td>
                  <td align="center" valign="middle" rowspan="2">0.317</td>
                </tr>
                <tr>
                  <td align="left" valign="middle">ATI Score</td>
                  <td align="center" valign="middle">0.907</td>
                  <td align="center" valign="middle">0.809 - 0.965</td>
                  <td align="center" valign="middle">3</td>
                  <td align="center" valign="middle">0.6875</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </sec>
        <sec>
          <title>Echocardiography</title>
          <p>All patients accepted transthoracic echocardiography after the procedure in the hospital. The left ventricular ejection fraction (LVEF) of the NMO group was higher than that of the MO group (56.03&#177;5.22 vs. 47.79&#177;6.38, p&lt;0.001).</p>
        </sec>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <p>Despite the dramatic progress achieved in the therapeutic strategies of myocardial infarction in the past decades, microvascular impairment remains an important issue during primary catheterization. It is estimated that insufficient reperfusion in the myocardial tissue level could be up to 50% in cases, despite successful epicardial recanalization.<xref ref-type="bibr" rid="B12"><sup>12</sup></xref> The benefits resulting from pharmaceutical or mechanical reperfusion strategies would be compromised in the presence of coronary microvascular obstruction, which is associated with poor cardiac function and unfavorable outcomes.</p>
        <p>Due to the lack of specific treatment and attenuation of CMVO, early recognition and the pretreatment of high-risk patients are of great importance. The indicators for identification have been intensively examined by sizable previous studies. However, considering that a large number of complicated mechanisms are thought to contribute to microvascular obstruction development, one single element may not be convincing enough in assessing risk prediction and stratification. Therefore, evaluating systems comprising of various indexes to assess the likelihood of this complication provides better detection and diagnosis. Apart from the two models analyzed in this study, previous scores of NFR have also been developed.</p>
        <p>Dogan et al.<xref ref-type="bibr" rid="B13"><sup>13</sup></xref> reported that hyperglycemia, prolonged ischemic time, and low neutrophil count attributed to the development of the risk model.<xref ref-type="bibr" rid="B13"><sup>13</sup></xref> Bayramoglu et al.<xref ref-type="bibr" rid="B14"><sup>14</sup></xref> built the predictive model covering age, LVEF value, SYNTAX score, stent length, thrombus burden score, Killip classification, and reperfusion time.<xref ref-type="bibr" rid="B14"><sup>14</sup></xref> The retrospective study conducted by Wang et al.<xref ref-type="bibr" rid="B15"><sup>15</sup></xref> also showed that age, pain to PCI time, neutrophil count, admission glucose level, pre-PCI thrombus score, collateral circulation, and Killip class could be adopted to establish the no-reflow model.<xref ref-type="bibr" rid="B15"><sup>15</sup></xref> Due to the different study protocols, sample size, auxiliary measurements, and consistent conclusions have not been obtained.</p>
        <p>Instead of angiographic standards (TIMI blood flow, TMPG or myocardial blush grades) applied in the former clinical trials, the IMR was introduced to determine the microcirculation perfusion in the present study. IMR, a thermodilution-derived quantitative measurement of coronary microvascular function, was first proposed by Fearon in 2003. The Porcine model has also been used to investigate the correlation between the calculated IMR value and true distal resistance, validating the feasibility of this innovative technique in estimating microvascular resistance.<xref ref-type="bibr" rid="B6"><sup>6</sup></xref> Different from other angiographically physiological and functional assessment, IMR shares the advantages of independence of epicardial stenosis, superior reproducibility, and hemodynamic instability. Bulluck reviewed the literature and reported that a post-procedure threshold of 40 U was valid in identifying CMVO for those that underwent IMR measurements.<xref ref-type="bibr" rid="B16"><sup>16</sup></xref></p>
        <p>Apart from being directly related to the perfusion status of myocardial tissue, IMR was also shown to have a strong association with peak creatine kinase levels, patient's prognosis, and ventricular performance recovery in the setting of STEMI,<xref ref-type="bibr" rid="B6"><sup>6</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B17"><sup>17</sup></xref><sup>&#8211;</sup><xref ref-type="bibr" rid="B20"><sup>20</sup></xref> which laid the foundation for ATI development. The ATI score was first introduced by De Maria et al. mainly consisting of three characteristics including age, thrombus score, and pre-stenting IMR value.,<xref ref-type="bibr" rid="B5"><sup>5</sup></xref> The ATI score was also considered a promising tool for predicting suboptimal myocardial reperfusion in STEMI patients and is correlated with the infarction area measured by cardiac magnetic resonance imaging (MRI) in subsequent studies.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref></p>
        <p>Limited by cost and related insurance regulations, however, IMR is not always available or acceptable in current practices. It could also only be implemented in the emergent Catheterization Laboratory. In this regard, based on the existing evidence and our practical experience, we systematically screened the possible clinical and angiographic information, developing SAK predictive scores that incorporate 6 conventional variables, namely age, Killip classification, symptom onset to balloon time, initial ACT levels, NLR, and glucose values. Our former study verified its capability and effectiveness in evaluating the patients at high risk of CMVO.<xref ref-type="bibr" rid="B22"><sup>22</sup></xref> Therefore, we attempted to compare the performance of the SAK and ATI scores in predicting the potential risk of impaired microvasculature during primary intervention, assisting the physicians&#8217; prompt pretreatments to minimize the incidence of this condition before the procedure takes place.</p>
        <p>Noticeably, an AUC or C-index value over 0.75 in a developed model is recognized as a reliable validation. From the results we obtained, the AUC of the SAK and ATI scores were 0.855 and 0.907, respectively, which proved that both estimating systems were capable of predicting the potential CMVO risk and performed well. The AUC of the ATI scores seemed higher, but there was no obvious difference in the risk evaluation performance.</p>
        <p>Though the ATI score had a favorable performance for prediction, there were some distinctions compared to the original report of ATI development. Firstly, the most commonly chosen standard of the thrombus score was established by Gibson. However, according to clinical practice and previous data, only 0.4% of the cases had a score of 5 after the guidewire or balloon passing through the occluded lesions, whereas nearly 30% of the cases shared a score of 4.<xref ref-type="bibr" rid="B23"><sup>23</sup></xref> Consequently, the thrombus burden score was evaluated subsequent to the guidewire passing or small balloon inflation. Secondly, the peak value of myocardial biomarkers and cardiac troponin have not been documented as the original study, taking the echocardiography into consideration that the difference of the LVEF was also precise enough in showing the relationship between microcirculation perfusion and the infarction area. From the echocardiography results, we could derive that patients with CMVO had a poorer cardiac function, which was consistent with the existing evidence, emphasizing the particular significance in improving the perfusion status of microvascular circulation.<xref ref-type="bibr" rid="B24"><sup>24</sup></xref></p>
        <p>Despite its advantages, the IMR is not available or applicable in a majority of local hospitals and many patients refuse this examination due to its cost. Similarly, a SAK score consisting of currently common indexes appeared to be an alternative in the clinical field.</p>
        <p>This study, however, has some limitations. First, this was a single-center study with a relatively small sample size. The risk scores were validated by the information from a single-center database. The discriminatory power of the models requires a larger sample scale investigation and validation. Second, ACT was an essential element in the SAK score while the level of ACT is influenced by a series of factors in practice, so the reference range in the score might be different depending on the testing staff and equipment. Third, patients with cardiac shock have not been enrolled since supplementary life-supporting treatment might be needed and the baseline characteristics would be unbalanced for those patients.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusion</title>
        <p>In this study, our data showed that both the SAK and ATI scores performed well in estimating CMVO risk after the primary PCI for acute STEMI patients. Therefore, these scores are accurate in predicting CMVO when compared to the invasive measurements obtained from the IMR.</p>
      </sec>
    </body>
    <back>
      <fn-group>
        <fn fn-type="financial-disclosure" id="fn5">
          <p>
            <bold>Sources of Funding</bold>
          </p>
          <p>This study was funded by National Key R&amp;D Program of China, number 2016 YFC1301100</p>
        </fn>
        <fn fn-type="other" id="fn6">
          <p>
            <bold>Study Association</bold>
          </p>
          <p>This study is not associated with any thesis or dissertation.</p>
        </fn>
        <fn fn-type="other" id="fn7">
          <p>
            <bold>Ethics Approval and Consent to Participate</bold>
          </p>
          <p>This study was approved by the Ethics Committee of the Second Hospital of Hebei Medical University. 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>
    </back>
  </sub-article>
</article>
