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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Arq Bras Cardiol</journal-id>
      <journal-id journal-id-type="publisher-id">abc</journal-id>
      <journal-title-group>
        <journal-title>Arquivos Brasileiros de Cardiologia</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Arq. Bras. Cardiol.</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0066-782X</issn>
      <issn pub-type="epub">1678-4170</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia - SBC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id specific-use="scielo-v3" pub-id-type="publisher-id">q9c8jPT97FKkKc4y8SpHxrK</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S0066-782X2024001100310</article-id>
      <article-id pub-id-type="doi">10.36660/abc.20230863</article-id>
      <article-id pub-id-type="other">00310</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigo Original</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Infarto Agudo do Mioc&#225;rdio com Supradesn&#237;vel de ST e Terapia de Reperfus&#227;o no Brasil: Dados do Registro ACCEPT</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-9320-7999</contrib-id>
          <name>
            <surname>Ritt</surname>
            <given-names>Luiz Eduardo Fonteles</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
          <xref ref-type="corresp" rid="c1"/>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>An&#225;lise estat&#237;stica</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-1940-4470</contrib-id>
          <name>
            <surname>Silva</surname>
            <given-names>Pedro Gabriel Melo de Barros e</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>4</sup>
          </xref>
          <xref ref-type="aff" rid="aff5">
            <sup>5</sup>
          </xref>
          <xref ref-type="aff" rid="aff6">
            <sup>6</sup>
          </xref>
          <xref ref-type="aff" rid="aff7">
            <sup>7</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>An&#225;lise estat&#237;stica</role>
          <role>Obten&#231;&#227;o de financiamento</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Darz&#233;</surname>
            <given-names>Eduardo Sahade</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Santos</surname>
            <given-names>Renato Hideo Nakagawa</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>4</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>An&#225;lise estat&#237;stica</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>de Oliveira</surname>
            <given-names>Queila Borges</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Berwanger</surname>
            <given-names>Otavio</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>4</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>An&#225;lise estat&#237;stica</role>
          <role>Obten&#231;&#227;o de financiamento</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mattos</surname>
            <given-names>Luiz Alberto Piva e</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff8">
            <sup>8</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Obten&#231;&#227;o de financiamento</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>dos Santos</surname>
            <given-names>Elizabete Silva</given-names>
          </name>
          <xref ref-type="aff" rid="aff9">
            <sup>9</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-4158-9726</contrib-id>
          <name>
            <surname>Souza</surname>
            <given-names>Antonio Carlos Sobral</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff10">
            <sup>10</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Cavalcante</surname>
            <given-names>Margaret Assad</given-names>
          </name>
          <xref ref-type="aff" rid="aff11">
            <sup>11</sup>
          </xref>
          <xref ref-type="aff" rid="aff12">
            <sup>12</sup>
          </xref>
          <role>Obten&#231;&#227;o de dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-3511-7375</contrib-id>
          <name>
            <surname>de Andrade</surname>
            <given-names>Pedro Beraldo</given-names>
          </name>
          <xref ref-type="aff" rid="aff13">
            <sup>13</sup>
          </xref>
          <xref ref-type="aff" rid="aff14">
            <sup>14</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Neuenschwander</surname>
            <given-names>Fernando Carvalho</given-names>
          </name>
          <xref ref-type="aff" rid="aff15">
            <sup>15</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Vargas</surname>
            <given-names>Hugo</given-names>
            <suffix>Filho</suffix>
          </name>
          <xref ref-type="aff" rid="aff16">
            <sup>16</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Guimar&#227;es</surname>
            <given-names>Jorge Ilha</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">
            <sup>8</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Obten&#231;&#227;o de financiamento</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>de Andrade</surname>
            <given-names>Jadelson Pinheiro</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff17">
            <sup>17</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>Obten&#231;&#227;o de financiamento</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>de Paola</surname>
            <given-names>Angelo Amato Vincenzo</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff18">
            <sup>18</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Obten&#231;&#227;o de financiamento</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8171-3920</contrib-id>
          <name>
            <surname>Malachias</surname>
            <given-names>Marcus Vin&#237;cius Bol&#237;var</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff19">
            <sup>19</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Obten&#231;&#227;o de financiamento</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-1187-8690</contrib-id>
          <name>
            <surname>Pr&#233;coma</surname>
            <given-names>Dalton Bertolim</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff20">
            <sup>20</sup>
          </xref>
          <xref ref-type="aff" rid="aff21">
            <sup>21</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bacal</surname>
            <given-names>Fernando</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff22">
            <sup>22</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Obten&#231;&#227;o de financiamento</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Dutra</surname>
            <given-names>Oscar Pereira</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff23">
            <sup>23</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Obten&#231;&#227;o de financiamento</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
          <on-behalf-of>em nome dos investigadores da ACCEPT</on-behalf-of>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Instituto D&#8217;Or de Ensino e Pesquisa</institution>
          <addr-line>
            <named-content content-type="city">Rio de Janeiro</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Instituto D&#8217;Or de Ensino e Pesquisa, Rio de Janeiro, RJ &#8211; Brasil</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution content-type="orgname">Hospital C&#225;rdio Pulmonar</institution>
          <addr-line>
            <named-content content-type="city">Salvador</named-content>
            <named-content content-type="state">BA</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital C&#225;rdio Pulmonar, Salvador, BA &#8211; Brasil</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution content-type="orgname">Escola Bahiana de Medicina e Sa&#250;de P&#250;blica</institution>
          <addr-line>
            <named-content content-type="city">Salvador</named-content>
            <named-content content-type="state">BA</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Escola Bahiana de Medicina e Sa&#250;de P&#250;blica, Salvador, BA &#8211; Brasil</institution>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution content-type="orgname">Hospital do Cora&#231;&#227;o</institution>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hcor, Hospital do Cora&#231;&#227;o, S&#227;o Paulo, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution content-type="orgname">Brazilian Clinical Research Institute</institution>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Brazilian Clinical Research Institute, S&#227;o Paulo, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff6">
          <label>6</label>
          <institution content-type="orgname">Hospital Samaritano Paulista</institution>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital Samaritano Paulista, S&#227;o Paulo, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff7">
          <label>7</label>
          <institution content-type="orgname">Centro Universit&#225;rio S&#227;o Camilo</institution>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Centro Universit&#225;rio S&#227;o Camilo, S&#227;o Paulo, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff8">
          <label>8</label>
          <institution content-type="orgname">Sociedade Brasileira de Cardiologia</institution>
          <addr-line>
            <named-content content-type="city">Rio de Janeiro</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Sociedade Brasileira de Cardiologia, Rio de Janeiro, RJ &#8211; Brasil</institution>
        </aff>
        <aff id="aff9">
          <label>9</label>
          <institution content-type="orgname">Instituto Dante Pazzanese de Cardiologia</institution>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Instituto Dante Pazzanese de Cardiologia, S&#227;o Paulo, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff10">
          <label>10</label>
          <institution content-type="orgname">Hospital S&#227;o Lucas</institution>
          <addr-line>
            <named-content content-type="city">Aracaju</named-content>
            <named-content content-type="state">SE</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital S&#227;o Lucas, Aracaju, SE &#8211; Brasil</institution>
        </aff>
        <aff id="aff11">
          <label>11</label>
          <institution content-type="orgname">Universidade do Oeste Paulista</institution>
          <institution content-type="orgdiv1">Presidente Prudente</institution>
          <addr-line>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Universidade do Oeste Paulista (Unoeste), Presidente Prudente, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff12">
          <label>12</label>
          <institution content-type="orgname">Hospital Regional de Presidente Prudente</institution>
          <addr-line>
            <named-content content-type="city">Presidente Prudente</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital Regional de Presidente Prudente, Presidente Prudente, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff13">
          <label>13</label>
          <institution content-type="orgname">Faculdade de Medicina de Mar&#237;lia</institution>
          <addr-line>
            <named-content content-type="city">Mar&#237;lia</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Faculdade de Medicina de Mar&#237;lia, Mar&#237;lia, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff14">
          <label>14</label>
          <institution content-type="orgname">Santa Casa de Mar&#237;lia</institution>
          <addr-line>
            <named-content content-type="city">Mar&#237;lia</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Santa Casa de Mar&#237;lia, Mar&#237;lia, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff15">
          <label>15</label>
          <institution content-type="orgname">Hospital Vera Cruz</institution>
          <addr-line>
            <named-content content-type="city">Belo Horizonte</named-content>
            <named-content content-type="state">MG</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital Vera Cruz, Belo Horizonte, MG &#8211; Brasil</institution>
        </aff>
        <aff id="aff16">
          <label>16</label>
          <institution content-type="orgname">Hospital S&#227;o Vicente de Paulo</institution>
          <addr-line>
            <named-content content-type="city">Passo Fundo</named-content>
            <named-content content-type="state">RS</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital S&#227;o Vicente de Paulo, Passo Fundo, RS &#8211; Brasil</institution>
        </aff>
        <aff id="aff17">
          <label>17</label>
          <institution content-type="orgname">Hospital da Bahia</institution>
          <addr-line>
            <named-content content-type="city">Salvador</named-content>
            <named-content content-type="state">BA</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital da Bahia, Salvador, BA &#8211; Brasil</institution>
        </aff>
        <aff id="aff18">
          <label>18</label>
          <institution content-type="orgname">Universidade Federal de S&#227;o Paulo Escola Paulista de Medicina</institution>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Universidade Federal de S&#227;o Paulo Escola Paulista de Medicina, S&#227;o Paulo, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff19">
          <label>19</label>
          <institution content-type="orgname">Faculdade de Ci&#234;ncias M&#233;dicas de Minas Gerais</institution>
          <addr-line>
            <named-content content-type="city">Belo Horizonte</named-content>
            <named-content content-type="state">MG</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Faculdade de Ci&#234;ncias M&#233;dicas de Minas Gerais, Belo Horizonte, MG &#8211; Brasil</institution>
        </aff>
        <aff id="aff20">
          <label>20</label>
          <institution content-type="orgname">Pontif&#237;cia Universidade Cat&#243;lica do Paran&#225;</institution>
          <institution content-type="orgdiv1">Escola de Medicina</institution>
          <addr-line>
            <named-content content-type="city">Curitiba</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Pontif&#237;cia Universidade Cat&#243;lica do Paran&#225; - Escola de Medicina, Curitiba, PR &#8211; Brasil</institution>
        </aff>
        <aff id="aff21">
          <label>21</label>
          <institution content-type="orgname">Sociedade Hospitalar Angelina Caron &#8211; Cardiologia</institution>
          <addr-line>
            <named-content content-type="city">Campina Grande do Sul</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Sociedade Hospitalar Angelina Caron &#8211; Cardiologia, Campina Grande do Sul, PR &#8211; Brasil</institution>
        </aff>
        <aff id="aff22">
          <label>22</label>
          <institution content-type="orgname">Universidade de S&#227;o Paulo Faculdade de Medicina Hospital das Cl&#237;nicas Instituto do Cora&#231;&#227;o</institution>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Universidade de S&#227;o Paulo Faculdade de Medicina Hospital das Cl&#237;nicas Instituto do Cora&#231;&#227;o, S&#227;o Paulo, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff23">
          <label>23</label>
          <institution content-type="orgname">Funda&#231;&#227;o Universit&#225;ria de Cardiologia do Rio Grande do Sul</institution>
          <institution content-type="orgdiv1">Instituto de Cardiologia</institution>
          <addr-line>
            <named-content content-type="city">Porto Alegre</named-content>
            <named-content content-type="state">RS</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Instituto de Cardiologia &#8211; Funda&#231;&#227;o Universit&#225;ria de Cardiologia do Rio Grande do Sul, Porto Alegre, RS &#8211; Brasil</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><label>Correspond&#234;ncia:</label><bold>Luiz Eduardo Fonteles Ritt</bold> &#8226; Hospital Cardio Pulmonar &#8211; Centro de Estudos Cl&#237;nicos &#8211; Av. Anita Garibaldi, 2199. CEP <postal-code>40170-130</postal-code>, Ondina, Salvador, BA &#8211; Brasil E-mail: <email>luizritt@hotmail.com</email>, <email>luizritt@bahiana.edu.br</email></corresp>
        <fn fn-type="conflict">
          <label>Potencial conflito de interesse</label>
          <p>N&#227;o h&#225; conflito com o presente artigo.</p>
        </fn>
        <fn fn-type="edited-by">
          <label>Editor respons&#225;vel pela revis&#227;o:</label>
          <p>Gl&#225;ucia Maria Moraes de Oliveira</p>
        </fn>
      </author-notes>
      <pub-date publication-format="electronic" date-type="pub">
        <day>06</day>
        <month>12</month>
        <year>2024</year>
      </pub-date>
      <pub-date publication-format="electronic" date-type="collection">
        <year>2024</year>
      </pub-date>
      <volume>121</volume>
      <issue>11</issue>
      <elocation-id>e20230863</elocation-id>
      <history>
        <date date-type="received">
          <day>09</day>
          <month>02</month>
          <year>2024</year>
        </date>
        <date date-type="rev-recd">
          <day>25</day>
          <month>06</month>
          <year>2024</year>
        </date>
        <date date-type="accepted">
          <day>14</day>
          <month>08</month>
          <year>2024</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>H&#225; car&#234;ncia de informa&#231;&#245;es nacionais em rela&#231;&#227;o a terapias utilizadas e evolu&#231;&#227;o nos pacientes com s&#237;ndrome coron&#225;ria aguda com eleva&#231;&#227;o de ST (SCACEST).</p>
        </sec>
        <sec>
          <title>Objetivos:</title>
          <p>Avaliar as terapias baseadas em evid&#234;ncia, a ocorr&#234;ncia de desfechos, uso de reperfus&#227;o e preditores para n&#227;o receber reperfus&#227;o nos pacientes com SCACEST em um registro nacional multic&#234;ntrico.</p>
        </sec>
        <sec>
          <title>M&#233;todos:</title>
          <p>Pacientes com SCACEST do Registro ACCEPT com at&#233; 12 horas de sintomas foram seguidos por 1 ano para ocorr&#234;ncia de eventos cardiovasculares maiores. Um p &lt; 0,05 foi aplicado para todas an&#225;lises.</p>
        </sec>
        <sec>
          <title>Resultados:</title>
          <p>Na an&#225;lise de 1.553 pacientes, a taxa de reperfus&#227;o foi de 76,8%, variando de 47,5% na regi&#227;o Norte a at&#233; 80,5% na regi&#227;o Sudeste. A taxa de eventos cardiovasculares maiores foi de 12,5% em 1 ano. A prescri&#231;&#227;o de terapias baseadas em evid&#234;ncia na admiss&#227;o hospitalar foi de 65,6%. A presen&#231;a de hipertens&#227;o (odds ratio [OR] 1,47; intervalo de confian&#231;a [IC] 95% 1,11 a 1,96; p &lt; 0,01), infarto agudo do mioc&#225;rdio pr&#233;vio (OR 1,81; IC 95% 1,32 a 2,48; p &lt; 0,001) e as regi&#245;es Norte (OR 4,65; IC 95% 2,87 a 7,52; p &lt; 0,001), Centro-Oeste (OR 4,02 IC 95% 1,26 a 12,7; p &lt; 0,05) e Nordeste (OR 1,70; IC 95% 1,17 a 2,46; p &lt; 0,01) foram preditores independentes de n&#227;o utiliza&#231;&#227;o de terapia de reperfus&#227;o.</p>
        </sec>
        <sec>
          <title>Conclus&#245;es:</title>
          <p>No seguimento de 1 ano do Registro ACCEPT podemos verificar uma ampla varia&#231;&#227;o dentre as regi&#245;es no que tange a ader&#234;ncia &#224;s melhores pr&#225;ticas de cuidado. Ser atendido nas regi&#245;es Norte, Centro-Oeste ou Nordeste, ter hipertens&#227;o arterial sist&#234;mica ou infarto pr&#233;vio foram preditores independentes de n&#227;o utiliza&#231;&#227;o de terapia de reperfus&#227;o.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="pt">
        <title>Palavras-chave:</title>
        <kwd>Infarto do Mioc&#225;rdio</kwd>
        <kwd>S&#237;ndrome Coronariana Aguda</kwd>
        <kwd>Registro M&#233;dico Coordenado</kwd>
      </kwd-group>
      <counts>
        <fig-count count="8"/>
        <table-count count="6"/>
        <equation-count count="0"/>
        <ref-count count="19"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <fig id="f1">
      <graphic xlink:href="1678-4170-abc-121-11-e20230863-30863-gf01.tif"/></fig>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>As doen&#231;as cardiovasculares representam a principal causa de mortalidade e incapacidade no Brasil e no mundo.<sup><xref ref-type="bibr" rid="B1">1</xref>-<xref ref-type="bibr" rid="B3">3</xref></sup> A doen&#231;a coron&#225;ria na sua forma aguda, chamada s&#237;ndrome coron&#225;ria aguda (SCA), representa a causa isolada mais importante de &#243;bito em dados epidemiol&#243;gicos, mesmo em tempos de pandemia.<sup><xref ref-type="bibr" rid="B4">4</xref>,<xref ref-type="bibr" rid="B5">5</xref></sup> Dentre o espectro de SCA, a s&#237;ndrome coron&#225;ria aguda com eleva&#231;&#227;o de ST (SCACEST) &#233; a que est&#225; relacionada a maiores taxas de complica&#231;&#227;o e mortalidade, sendo o melhor progn&#243;stico diretamente dependente de um cuidado r&#225;pido e da implementa&#231;&#227;o imediata de terapia de reperfus&#227;o.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref></sup> Entretanto, h&#225; falhas na aplica&#231;&#227;o das terapias baseadas em evid&#234;ncia em pacientes com SCA conforme identificado em registros pr&#233;vios de pr&#225;tica cl&#237;nica.<sup><xref ref-type="bibr" rid="B8">8</xref>-<xref ref-type="bibr" rid="B10">10</xref></sup> O Brasil &#233; um pa&#237;s continental e com disparidades no acesso &#224; sa&#250;de, o que pode impactar diretamente no padr&#227;o de atendimento &#224; SCA, especialmente em situa&#231;&#245;es tempo-sens&#237;veis como a SCACEST. O conhecimento do padr&#227;o de atendimento &#224; SCACEST e os aspectos relacionados a um melhor progn&#243;stico no &#226;mbito nacional s&#227;o informa&#231;&#245;es necess&#225;rias para uma melhor organiza&#231;&#227;o dos servi&#231;os de sa&#250;de e para implementa&#231;&#227;o de estrat&#233;gias de melhoria no cuidado, seja no setor p&#250;blico ou no privado.</p>
      <sec>
        <title>Objetivos do estudo</title>
        <p>Com base nos dados do Registro ACCEPT, um registro nacional conduzido pela Sociedade Brasileira de Cardiologia em 53 centros com representa&#231;&#227;o em todas regi&#245;es do pa&#237;s, avaliamos o perfil e o progn&#243;stico de pacientes atendidos por SCACEST no Brasil com os seguintes objetivos:</p>
        <list list-type="order">
          <list-item>
            <p>Descrever suas caracter&#237;sticas cl&#237;nicas, o perfil de tratamento e o progn&#243;stico global e por regi&#227;o;</p>
          </list-item>
          <list-item>
            <p>Avaliar a taxa de reperfus&#227;o global, por regi&#227;o e os tipos de reperfus&#227;o aplicados;</p>
          </list-item>
          <list-item>
            <p>Avaliar os preditores de n&#227;o utiliza&#231;&#227;o de terapia de reperfus&#227;o.</p>
          </list-item>
        </list>
      </sec>
    </sec>
    <sec sec-type="methods">
      <title>M&#233;todos</title>
      <sec>
        <title>Delineamento do estudo</title>
        <p>O Registro ACCEPT (Acute Coronary Care Evaluation of Practice Registry) &#233; um projeto idealizado pela Sociedade Brasileira de Cardiologia (SBC) cujos m&#233;todos foram previamente publicados.<sup><xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref></sup> De forma resumida, trata-se de pesquisa prospectiva, volunt&#225;ria, multic&#234;ntrica que reuniu 53 centros das 5 regi&#245;es brasileiras, assim distribu&#237;dos: Sudeste 50,9%, Nordeste 13,2%, Sul 24,5%, Centro-Oeste 5,7% e Norte 5,7%. O registro incluiu pacientes em centros hospitalares com assist&#234;ncia p&#250;blica (Sistema &#218;nico de Sa&#250;de [SUS]), de sa&#250;de suplementar (operadoras de sa&#250;de) ou privados de agosto de 2010 at&#233; abril de 2014 assim distribu&#237;dos: SUS 55,8%, sa&#250;de suplementar 41,2% e privado 3%.</p>
      </sec>
      <sec>
        <title>Participantes do estudo</title>
        <p>Foram inclu&#237;dos pacientes na vig&#234;ncia do diagn&#243;stico de SCA nas suas diferentes formas de apresenta&#231;&#227;o: SCA sem eleva&#231;&#227;o de ST (angina inst&#225;vel ou infarto agudo do mioc&#225;rdio sem supradesn&#237;vel do segmento ST) e tamb&#233;m os casos de SCACEST. Foram exclu&#237;dos pacientes transferidos de outras institui&#231;&#245;es com mais de 12 horas do in&#237;cio dos sintomas.</p>
        <p>Na presente an&#225;lise foram inclu&#237;dos apenas pacientes com SCACEST, a qual foi definida pela presen&#231;a de sintomas compat&#237;veis com SCA por mais de 20 minutos associada a supradesnivelamento do segmento ST em 2 ou mais deriva&#231;&#245;es cont&#237;guas sendo este &gt; 2 mm nas deriva&#231;&#245;es precordiais ou &gt; 1 mm nas deriva&#231;&#245;es perif&#233;ricas ou novo bloqueio do ramo esquerdo com onda Q em 2 deriva&#231;&#245;es cont&#237;guas. Pacientes fora da janela de reperfus&#227;o (com mais de 12 horas da apresenta&#231;&#227;o) n&#227;o foram inclu&#237;dos na an&#225;lise.</p>
      </sec>
      <sec>
        <title>Procedimentos do estudo e vari&#225;veis analisadas</title>
        <p>Os procedimentos do estudo e vari&#225;veis analisadas no estudo ACCEPT foram previamente publicados.<sup><xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref></sup></p>
        <p>De forma sucinta, foram coletados dados demogr&#225;ficos, cl&#237;nicos e dados do tratamento dos pacientes. Os pacientes foram seguidos em 7 dias ou at&#233; a alta hospitalar (o que ocorresse primeiro), 30 dias, 6 meses e 1 ano.</p>
        <p>Tendo a caracter&#237;stica de um estudo pragm&#225;tico, a identifica&#231;&#227;o de comorbidade dos pacientes (ex.: hipertens&#227;o arterial, dislipidemia) poderia ser realizada da seguinte forma: relato pelo paciente, uso de medicamento (anti-hipertensivo, hipolipemiante) ou avalia&#231;&#227;o do investigador (neste &#250;ltimo, os centros foram orientados a seguirem as recomenda&#231;&#245;es de crit&#233;rios diagn&#243;sticos adotadas pelas diretrizes vigentes da Sociedade Brasileira de Cardiologia). Caracter&#237;sticas do exame f&#237;sico poderiam ser obtidas por mensura&#231;&#227;o direta (a obesidade foi definida por &#237;ndice de massa corporal &gt; 30 kg/m&#178;). Demais crit&#233;rios se basearam no registro em prontu&#225;rio de uma vari&#225;vel coletada atrav&#233;s de questionamento em entrevista (ex.: estresse, ex-tabagista se cessa&#231;&#227;o &gt; 6 meses). O esquema terap&#234;utico baseado em evid&#234;ncia que foi considerado no ACCEPT n&#227;o se modificou durante o estudo e se baseou em diretrizes vigentes. Este esquema terap&#234;utico pode ser dividido da seguinte forma:</p>
        <list list-type="simple">
          <list-item>
            <label>&#8211;</label>
            <p>Interna&#231;&#227;o do evento &#237;ndice: dupla antiagrega&#231;&#227;o, anticoagulante parenteral, estatina e betabloqueador com adi&#231;&#227;o da terapia de reperfus&#227;o nos casos de SCACEST.</p>
          </list-item>
          <list-item>
            <label>&#8211;</label>
            <p>Terapia ambulatorial (p&#243;s-alta): dupla antiagrega&#231;&#227;o, estatina, betabloqueador e inibidor da enzima conversora de angiotensina/bloqueador do receptor de angiotensina (IECA/BRA).</p>
          </list-item>
        </list>
        <p>No que tange &#224; terapia de reperfus&#227;o, os pacientes foram divididos entre 3 grupos: terapia de reperfus&#227;o mec&#226;nica (angioplastia prim&#225;ria), reperfus&#227;o farmacol&#243;gica (trombol&#237;tico) e n&#227;o reperfus&#227;o.</p>
        <p>Os desfechos cardiovasculares de interesse analisados na popula&#231;&#227;o inclu&#237;da foram: mortalidade cardiovascular, parada card&#237;aca n&#227;o fatal, reinfarto e acidente vascular cerebral (AVC). Estes desfechos foram reportados pelo investigador de acordo com crit&#233;rios recomendados sem utiliza&#231;&#227;o de um comit&#234; independente para adjudica&#231;&#227;o de eventos.</p>
      </sec>
      <sec>
        <title>An&#225;lise estat&#237;stica</title>
        <p>Vari&#225;veis categ&#243;ricas foram descritas como frequ&#234;ncias absolutas ou relativas e comparadas pelo teste de qui-quadrado ou o teste exato de Fisher-Freeman-Halton.</p>
        <p>Vari&#225;veis cont&#237;nuas foram apresentadas como m&#233;dia e desvio padr&#227;o para as de distribui&#231;&#227;o normal ou mediana e intervalo interquartil para aquelas de distribui&#231;&#227;o n&#227;o normal. A an&#225;lise de histogramas foi aplicada para defini&#231;&#227;o da distribui&#231;&#227;o. M&#233;dias entre dois grupos foram comparadas pelo teste de Student n&#227;o pareado e entre mais de dois grupos pela an&#225;lise de vari&#226;ncia (ANOVA, <italic>one-way analysis of variance</italic>). A corre&#231;&#227;o de Bonferroni foi utilizada para compara&#231;&#245;es m&#250;ltiplas.</p>
        <p>Modelos de regress&#227;o de Cox foram aplicados para determinar os preditores de n&#227;o receber terapia de reperfus&#227;o. An&#225;lise de sobrevida de Kaplan-Meier foi aplicada para an&#225;lise de sobrevida e para a compara&#231;&#227;o de curvas de sobrevida foi aplicada a estat&#237;stica de log-rank.</p>
        <p>As an&#225;lises foram consideradas significantes se atingissem um p &lt; 0,05. Todas as an&#225;lises foram realizadas com aux&#237;lio do programa R vers&#227;o 3.6.1.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <p>Do total de 5.047 pacientes inclu&#237;dos no registro, 1.714 (34%) tinham diagn&#243;stico de SCACEST. Destes, 1.553 pacientes (31% do total) estavam dentro da janela de 12 horas de apresenta&#231;&#227;o dos sintomas e formaram a popula&#231;&#227;o desta an&#225;lise. Em um total de 147 pacientes (9,5%), n&#227;o foi poss&#237;vel obter informa&#231;&#227;o final de 12 meses.</p>
      <sec>
        <title>Caracter&#237;sticas Basais</title>
        <p>O perfil cl&#237;nico-demogr&#225;fico e de tratamento dos pacientes com SCACEST no geral e de acordo com a regi&#227;o, evidenciou uma maior preval&#234;ncia do sexo masculino (73%), idade m&#233;dia de 60,7 &#177; 12,3 anos e um maior n&#250;mero de pacientes atendidos em servi&#231;os p&#250;blicos (66%). Quanto a fatores de risco, dislipidemia estava presente em 43%, diabetes em 26% e infarto agudo do mioc&#225;rdio pr&#233;vio em 16%. Chama aten&#231;&#227;o um percentual maior de pacientes na regi&#227;o Nordeste com dislipidemia (59%) e com infarto agudo do mioc&#225;rdio pr&#233;vio (34%), al&#233;m de uma m&#233;dia de idade maior nesta regi&#227;o (64 &#177; 12.9 anos), conforme a <xref ref-type="table" rid="t1">Tabela 1</xref>.</p>
        <table-wrap id="t1">
          <label>Tabela 1</label>
          <caption>
            <title>Caracter&#237;sticas demogr&#225;ficas, cl&#237;nicas e tratamento para a popula&#231;&#227;o total e por regi&#227;o geogr&#225;fica</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="12%">
              <col width="1%"/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr style="background-color:#76B4CF">
                <th align="center" valign="middle" colspan="2"/>
                <th align="center" valign="middle">Total(1.553)</th>
                <th align="center" valign="middle">Sul(280)</th>
                <th align="center" valign="middle">Sudeste(1008)</th>
                <th align="center" valign="middle">Nordeste(173)</th>
                <th align="center" valign="middle">Norte(80)</th>
                <th align="center" valign="middle">Centro-Oeste(12)</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" colspan="2">
                  <bold>Idade (anos), m&#233;dia &#177; DP</bold>
                </td>
                <td align="center" valign="middle">60,7 &#177; 12,3</td>
                <td align="center" valign="middle">58,7 &#177; 11</td>
                <td align="center" valign="middle">60,9 &#177; 12,5</td>
                <td align="center" valign="middle">64 &#177; 12,9</td>
                <td align="center" valign="middle">58,9 &#177; 10,9</td>
                <td align="center" valign="middle">62,4 &#177; 11,7</td>
                <td align="center" valign="middle">&lt;0,001<xref ref-type="table-fn" rid="TFN3">**</xref></td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>Sexo masculino, n (%)</bold>
                </td>
                <td align="center" valign="middle">1.129 (73%)</td>
                <td align="center" valign="middle">206 (73.6%)</td>
                <td align="center" valign="middle">726 (72%)</td>
                <td align="center" valign="middle">121 (70%)</td>
                <td align="center" valign="middle">67 (84%)</td>
                <td align="center" valign="middle">9 (75%)</td>
                <td align="center" valign="middle">0,179</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Dislipidemia, n (%)</bold>
                </td>
                <td align="center" valign="middle">670 (43%)</td>
                <td align="center" valign="middle">112 (40%)</td>
                <td align="center" valign="middle">418 (41,5%)</td>
                <td align="center" valign="middle">102 (59%)</td>
                <td align="center" valign="middle">34 (42,5%)</td>
                <td align="center" valign="middle">4 (33,3%)</td>
                <td align="center" valign="middle">0,001</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>IAM pr&#233;vio, n (%)</bold>
                </td>
                <td align="center" valign="middle">255 (16,4%)</td>
                <td align="center" valign="middle">39 (14%)</td>
                <td align="center" valign="middle">136 (13,5%)</td>
                <td align="center" valign="middle">60 (34,7%)</td>
                <td align="center" valign="middle">18 (22,5%)</td>
                <td align="center" valign="middle">2 (16,7%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>HAS, n (%)</bold>
                </td>
                <td align="center" valign="middle">1.008 (65%)</td>
                <td align="center" valign="middle">173 (62%)</td>
                <td align="center" valign="middle">651 (64,6%)</td>
                <td align="center" valign="middle">120 (70%)</td>
                <td align="center" valign="middle">56 (70%)</td>
                <td align="center" valign="middle">8 (66,7%)</td>
                <td align="center" valign="middle">0,45</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>Angina, n (%)</bold>
                </td>
                <td align="center" valign="middle">378 (24,3%)</td>
                <td align="center" valign="middle">61 (22%)</td>
                <td align="center" valign="middle">211 (21%)</td>
                <td align="center" valign="middle">58 (33,5%)</td>
                <td align="center" valign="middle">44 (55%)</td>
                <td align="center" valign="middle">4 (33,3%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>AVC pr&#233;vio, n (%)</bold>
                </td>
                <td align="center" valign="middle">93 (6%)</td>
                <td align="center" valign="middle">20 (7,1%)</td>
                <td align="center" valign="middle">43 (4,3%)</td>
                <td align="center" valign="middle">15 (9%)</td>
                <td align="center" valign="middle">15 (19%)</td>
                <td align="center" valign="middle">0 (0%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>Diabetes, n (%)</bold>
                </td>
                <td align="center" valign="middle">404 (26%)</td>
                <td align="center" valign="middle">68 (24,3%)</td>
                <td align="center" valign="middle">261 (26%)</td>
                <td align="center" valign="middle">47 (27,2%)</td>
                <td align="center" valign="middle">24 (30%)</td>
                <td align="center" valign="middle">4 (33,3%)</td>
                <td align="center" valign="middle">0,791</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>ICC, n (%)</bold>
                </td>
                <td align="center" valign="middle">81 (5,2%)</td>
                <td align="center" valign="middle">10 (3,6%)</td>
                <td align="center" valign="middle">27 (2,7%)</td>
                <td align="center" valign="middle">37 (21,4%)</td>
                <td align="center" valign="middle">7 (8,8%)</td>
                <td align="center" valign="middle">0 (0%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>ICP pr&#233;via, n (%)</bold>
                </td>
                <td align="center" valign="middle">194 (12,5%)</td>
                <td align="center" valign="middle">43 (15,4%)</td>
                <td align="center" valign="middle">108 (10,7%)</td>
                <td align="center" valign="middle">31 (18%)</td>
                <td align="center" valign="middle">12 (15%)</td>
                <td align="center" valign="middle">0 (0%)</td>
                <td align="center" valign="middle">0,022</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Cirurgia de RM pr&#233;via, n (%)</bold>
                </td>
                <td align="center" valign="middle">65 (4,2%)</td>
                <td align="center" valign="middle">11 (4%)</td>
                <td align="center" valign="middle">34 (3,4%)</td>
                <td align="center" valign="middle">13 (7,5%)</td>
                <td align="center" valign="middle">5 (6,2%)</td>
                <td align="center" valign="middle">2 (16,7%)</td>
                <td align="center" valign="middle">0,013</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>Obesidade, n (%)</bold>
                </td>
                <td align="center" valign="middle">459 (29,6%)</td>
                <td align="center" valign="middle">80 (28,6%)</td>
                <td align="center" valign="middle">271 (27%)</td>
                <td align="center" valign="middle">69 (40%)</td>
                <td align="center" valign="middle">36 (45%)</td>
                <td align="center" valign="middle">3 (25%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Sedentarismo, n (%)</bold>
                </td>
                <td align="center" valign="middle">877 (56,5%)</td>
                <td align="center" valign="middle">185 (66%)</td>
                <td align="center" valign="middle">519 (51,5%)</td>
                <td align="center" valign="middle">129 (75%)</td>
                <td align="center" valign="middle">40 (50%)</td>
                <td align="center" valign="middle">4 (33,3%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>Doen&#231;a arterial perif&#233;rica, n (%)</bold>
                </td>
                <td align="center" valign="middle">120 (7,7%)</td>
                <td align="center" valign="middle">19 (6,8%)</td>
                <td align="center" valign="middle">61 (6,1%)</td>
                <td align="center" valign="middle">35 (20,2%)</td>
                <td align="center" valign="middle">5 (6,2%)</td>
                <td align="center" valign="middle">0 (0%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Tabagismo, n (%)</bold>
                </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"/>
                <td align="center" valign="middle">&lt;0,001<xref ref-type="table-fn" rid="TFN2">*</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Atual</td>
                <td align="center" valign="middle">605 (39%)</td>
                <td align="center" valign="middle">127 (45,4%)</td>
                <td align="center" valign="middle">406 (40%)</td>
                <td align="center" valign="middle">42 (24,3%)</td>
                <td align="center" valign="middle">28 (35%)</td>
                <td align="center" valign="middle">2 (16,7%)</td>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Ex-tabagismo</td>
                <td align="center" valign="middle">346 (22%)</td>
                <td align="center" valign="middle">70 (25%)</td>
                <td align="center" valign="middle">203 (20%)</td>
                <td align="center" valign="middle">42 (24,3%)</td>
                <td align="center" valign="middle">28 (35%)</td>
                <td align="center" valign="middle">3 (25%)</td>
                <td align="center" valign="middle"/>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>Atendimento SUS, n (%)</bold>
                </td>
                <td align="center" valign="middle">1.022 (66%)</td>
                <td align="center" valign="middle">257 (92%)</td>
                <td align="center" valign="middle">641 (64%)</td>
                <td align="center" valign="middle">33 (19,1%)</td>
                <td align="center" valign="middle">80 (100%)</td>
                <td align="center" valign="middle">11 (92%)</td>
                <td align="center" valign="middle">&lt;0,001<xref ref-type="table-fn" rid="TFN2">*</xref></td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN1">
              <p>Valor de p: teste exato de Fisher.</p>
            </fn>
            <fn id="TFN2">
              <label>*</label>
              <p>Teste qui-quadrado.</p>
            </fn>
            <fn id="TFN3">
              <label>**</label>
              <p>Teste ANOVA.</p>
            </fn>
            <fn id="TFN3a">
              <p>AVC: acidente vascular cerebral; DP: desvio padr&#227;o; HAS: hipertens&#227;o arterial sist&#234;mica; IAM: infarto agudo do mioc&#225;rdio; n: n&#250;mero de indiv&#237;duos; ICC: insufici&#234;ncia card&#237;aca congestiva; ICP: interven&#231;&#227;o coron&#225;ria percut&#226;nea; RM: revasculariza&#231;&#227;o do mioc&#225;rdio; SUS: Sistema &#250;nico de sa&#250;de.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Terapia de reperfus&#227;o e outros medicamentos baseados em evid&#234;ncia</title>
        <p>Os percentuais de reperfus&#227;o no geral e de acordo com a regi&#227;o geogr&#225;fica est&#227;o dispostos na <xref ref-type="fig" rid="f2">Figura 1</xref>. A taxa global de reperfus&#227;o foi de 76,8%, sendo mais prevalente o uso de angioplastia prim&#225;ria (58,7%). As regi&#245;es Sudeste e Sul apresentaram o maior &#237;ndice de reperfus&#227;o (80,5% e 79,3%, respectivamente). As menores taxas de reperfus&#227;o foram observadas nas regi&#245;es Norte e Centro-Oeste (47,5% e 50%, respectivamente), conforme a <xref ref-type="fig" rid="f1">Figura Central</xref>.</p>
        <fig id="f2">
          <label>Figura 1</label>
          <caption>
            <title>Percentual de reperfus&#227;o e tipos de reperfus&#227;o na popula&#231;&#227;o total e por regi&#227;o.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-121-11-e20230863-30863-gf02.tif"/></fig>
        <p>Na <xref ref-type="table" rid="t2">Tabela 2</xref> est&#227;o dispostas as terapias utilizadas na admiss&#227;o para a popula&#231;&#227;o total e por regi&#227;o e a <xref ref-type="fig" rid="f3">Figura 2</xref> traz o uso de terapias baseadas em evid&#234;ncia na admiss&#227;o e no seguimento de at&#233; 1 ano. Terapia completa na admiss&#227;o esteve presente em 65,6% dos casos em geral, tendo o menor n&#237;vel na regi&#227;o Centro-Oeste. Houve uma redu&#231;&#227;o ao longo do ano no uso de todas terapias, j&#225; se observando uma queda a partir do trig&#233;simo dia, principalmente no uso de P2Y12, estatina e IECA/BRA.</p>
        <table-wrap id="t2">
          <label>Tabela 2</label>
          <caption>
            <title>Utiliza&#231;&#227;o de medicamentos na fase de admiss&#227;o dos pacientes com s&#237;ndrome coron&#225;ria aguda</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="12%">
              <col width="1%"/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr style="background-color:#76B4CF">
                <th align="left" valign="middle" colspan="2"/>
                <th align="center" valign="middle">Total(1.553)</th>
                <th align="center" valign="middle">Sul(280)</th>
                <th align="center" valign="middle">Sudeste(1008)</th>
                <th align="center" valign="middle">Nordeste(173)</th>
                <th align="center" valign="middle">Norte(80)</th>
                <th align="center" valign="middle">Centro-Oeste(12)</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" colspan="2">
                  <bold>AAS, n (%)</bold>
                </td>
                <td align="center" valign="middle">1.528 (98,4%)</td>
                <td align="center" valign="middle">275 (98,2%)</td>
                <td align="center" valign="middle">997 (99%)</td>
                <td align="center" valign="middle">170 (98,3%)</td>
                <td align="center" valign="middle">74 (92,5%)</td>
                <td align="center" valign="middle">12 (100%)</td>
                <td align="center" valign="middle">0,007</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>Inibidor P2Y12, n (%)</bold>
                </td>
                <td align="center" valign="middle">1.522 (98%)</td>
                <td align="center" valign="middle">273 (97,5%)</td>
                <td align="center" valign="middle">995 (98,7%)</td>
                <td align="center" valign="middle">169 (97,7%)</td>
                <td align="center" valign="middle">77 (96,2%)</td>
                <td align="center" valign="middle">8 (66,7%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Clopidogrel</td>
                <td align="center" valign="middle">1.384 (89%)</td>
                <td align="center" valign="middle">242 (86,4%)</td>
                <td align="center" valign="middle">903 (90%)</td>
                <td align="center" valign="middle">156 (90%)</td>
                <td align="center" valign="middle">77 (96,2%)</td>
                <td align="center" valign="middle">6 (50%)</td>
                <td align="center" valign="middle">0,001</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Prasugrel</td>
                <td align="center" valign="middle">14 (1%)</td>
                <td align="center" valign="middle">0 (0%)</td>
                <td align="center" valign="middle">6 (0,6%)</td>
                <td align="center" valign="middle">6 (3,5%)</td>
                <td align="center" valign="middle">0 (0%)</td>
                <td align="center" valign="middle">2 (16,7%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Ticagrelor</td>
                <td align="center" valign="middle">145 (9,3%)</td>
                <td align="center" valign="middle">35 (12,5%)</td>
                <td align="center" valign="middle">100 (9,9%)</td>
                <td align="center" valign="middle">9 (5,2%)</td>
                <td align="center" valign="middle">0 (0%)</td>
                <td align="center" valign="middle">1 (8,3%)</td>
                <td align="center" valign="middle">0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Anticoagulante parenteral n (%)</bold>
                </td>
                <td align="center" valign="middle">1.357 (87,4%)</td>
                <td align="center" valign="middle">221 (78,9%)</td>
                <td align="center" valign="middle">917 (91%)</td>
                <td align="center" valign="middle">134 (77,5%)</td>
                <td align="center" valign="middle">73 (91,2%)</td>
                <td align="center" valign="middle">12 (100%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Enoxaparina</td>
                <td align="center" valign="middle">992 (64%)</td>
                <td align="center" valign="middle">147 (52,5%)</td>
                <td align="center" valign="middle">650 (64,5%)</td>
                <td align="center" valign="middle">112 (64,7%)</td>
                <td align="center" valign="middle">72 (90%)</td>
                <td align="center" valign="middle">11 (91,7%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Fondaparinux</td>
                <td align="center" valign="middle">163 (10,5%)</td>
                <td align="center" valign="middle">0 (0%)</td>
                <td align="center" valign="middle">154 (15,3%)</td>
                <td align="center" valign="middle">9 (5,2%)</td>
                <td align="center" valign="middle">0 (0%)</td>
                <td align="center" valign="middle">0 (0%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">HNF</td>
                <td align="center" valign="middle">243 (15,6%)</td>
                <td align="center" valign="middle">80 (28,6%)</td>
                <td align="center" valign="middle">145 (14,4%)</td>
                <td align="center" valign="middle">16 (9,2%)</td>
                <td align="center" valign="middle">1 (1,2%)</td>
                <td align="center" valign="middle">1 (8,3%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>Inibidores da GP IIb/IIIa n (%)</bold>
                </td>
                <td align="center" valign="middle">277 (17,8%)</td>
                <td align="center" valign="middle">62 (22%)</td>
                <td align="center" valign="middle">181 (18%)</td>
                <td align="center" valign="middle">26 (15%)</td>
                <td align="center" valign="middle">6 (7,5%)</td>
                <td align="center" valign="middle">2 (16,7%)</td>
                <td align="center" valign="middle">0,025</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Inibidor da ECA ou BRA n (%)</bold>
                </td>
                <td align="center" valign="middle">1.149 (74%)</td>
                <td align="center" valign="middle">221 (78,9%)</td>
                <td align="center" valign="middle">775 (76,9%)</td>
                <td align="center" valign="middle">95 (54,9%)</td>
                <td align="center" valign="middle">51 (63,7%)</td>
                <td align="center" valign="middle">7 (58,3%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>Estatina n (%)</bold>
                </td>
                <td align="center" valign="middle">1.436 (92,5%)</td>
                <td align="center" valign="middle">228 (81,4%)</td>
                <td align="center" valign="middle">960 (95,2%)</td>
                <td align="center" valign="middle">165 (95,4%)</td>
                <td align="center" valign="middle">73 (91,2%)</td>
                <td align="center" valign="middle">10 (83,3%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Dupla terapia antiplaquet&#225;ria (%)</bold>
                </td>
                <td align="center" valign="middle">1.500 (96,6%)</td>
                <td align="center" valign="middle">268 (95,7%)</td>
                <td align="center" valign="middle">984 (97,6%)</td>
                <td align="center" valign="middle">166 (96%)</td>
                <td align="center" valign="middle">74 (92,5%)</td>
                <td align="center" valign="middle">8 (66,7%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle" colspan="2">
                  <bold>Terapia completa n (%)</bold>
                </td>
                <td align="center" valign="middle">1.018 (65,6%)</td>
                <td align="center" valign="middle">144 (51,4%)</td>
                <td align="center" valign="middle">707 (70,1%)</td>
                <td align="center" valign="middle">109 (63%)</td>
                <td align="center" valign="middle">53 (66,2%)</td>
                <td align="center" valign="middle">5 (41,7%)</td>
                <td align="center" valign="middle">&lt;0,001</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN4">
              <p>Valor de p: Teste Exato de Fisher. Dupla terapia antiplaquet&#225;ria: aspirina e inibidor de P2Y12. Terapia completa: dupla terapia antiplaquet&#225;ria, anticoagulante parenteral, estatina e betabloqueador. AAS: &#225;cido acetil salic&#237;lico; BRA: bloqueador do receptor de angiotensina ECA: enzima conversora de angiotensina; GP: glicoprote&#237;na; HNF: heparina n&#227;o fracionada; n: n&#250;mero de indiv&#237;duos.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <fig id="f3">
          <label>Figura 2</label>
          <caption>
            <title>Ades&#227;o &#224;s terapias baseadas em evid&#234;ncia no seguimento de at&#233; 1 ano. AAS: &#225;cido acetil salic&#237;lico; BRA: bloqueador do receptor de angiotensina; IECA: inibidor da enzima conversora de angiotensina.. *valor de p &lt; 0,001 para compara&#231;&#227;o entre o seguimento e admiss&#227;o. + valor de p &lt; 0,05 para compara&#231;&#227;o entre o seguimento e admiss&#227;o.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-121-11-e20230863-30863-gf03.tif"/></fig>
      </sec>
      <sec>
        <title>Desfechos cl&#237;nicos</title>
        <p>A <xref ref-type="fig" rid="f4">Figura 3</xref> traz as curvas de sobrevida livre de eventos para os desfechos combinados (morte, reinfarto, AVC) e de forma individual na popula&#231;&#227;o total e em cada regi&#227;o no seguimento de 1 ano. A taxa global de eventos combinados foi de 12,5%, atingindo o menor &#237;ndice na regi&#227;o Nordeste (5,2%) e os maiores &#237;ndices nas regi&#245;es Norte e Centro-Oeste (17,5% e 25%, respectivamente), conforme a <inline-supplementary-material mimetype="application" mime-subtype="pdf" xlink:href="1678-4170-abc-121-11-e20230863-30863-suppl01.pdf">Tabela Suplementar 1 (Tabela S1)</inline-supplementary-material>.</p>
        <fig id="f4">
          <label>Figura 3</label>
          <caption>
            <title>Curvas de sobrevida para os desfechos combinados (morte, reinfarto e AVC) e cada desfecho individual por regi&#227;o no seguimento de 1 ano.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-121-11-e20230863-30863-gf04.tif"/></fig>
      </sec>
      <sec>
        <title>Terapia de reperfus&#227;o e preditores de n&#227;o receber reperfus&#227;o</title>
        <p>A <inline-supplementary-material mimetype="application" mime-subtype="pdf" xlink:href="1678-4170-abc-121-11-e20230863-30863-suppl02.pdf">Tabela Suplementar 2 (Tabela S2)</inline-supplementary-material> traz a compara&#231;&#227;o dos grupos reperfus&#227;o e os que n&#227;o receberam terapia de reperfus&#227;o. Na <xref ref-type="table" rid="t3">Tabela 3</xref> o modelo final multivariado para os preditores de n&#227;o receber terapia de reperfus&#227;o &#233; apresentado. A presen&#231;a de hipertens&#227;o (<italic>odds ratio</italic> [OR] 1,47; intervalo de confian&#231;a [IC] 95% 1,11 a 1,96; p &lt; 0,01), infarto agudo do mioc&#225;rdio pr&#233;vio (OR 1,81; IC 95% 1,32 a 2,48; p &lt; 0,001), as regi&#245;es Norte (OR 4,65; IC 95% 2,87 a 7,52; p &lt; 0,001), Centro-Oeste (OR 4,02; IC 95% 1,26 a 12,7; p &lt; 0,05) e Nordeste (OR 1,70; IC 95% 1,17 a 2,46; p &lt; 0,01) foram preditores independentes de n&#227;o receber terapia de reperfus&#227;o.</p>
        <table-wrap id="t3">
          <label>Tabela 3</label>
          <caption>
            <title>Modelo final dos preditores independentes de n&#227;o receber terapia de reperfus&#227;o</title>
          </caption>
          <table frame="hsides" rules="groups">
            <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 style="background-color:#76B4CF; border-bottom: thin solid; border-color: #000000">
                <th align="left" valign="middle" colspan="7">Coeficientes estimados do modelo de regress&#227;o log&#237;stica para "N&#227;o receber terapia de reperfus&#227;o"</th>
              </tr>
              <tr style="background-color:#76B4CF">
                <th align="left" valign="middle" rowspan="2">Coeficiente</th>
                <th align="center" valign="middle" rowspan="2">Coeficiente</th>
                <th align="center" valign="middle" rowspan="2">Desvio padr&#227;o</th>
                <th align="center" valign="middle" rowspan="2">Valor de p</th>
                <th align="center" valign="middle" rowspan="2">OR</th>
                <th align="center" valign="middle" colspan="2" style="border-bottom: thin solid; border-color: #000000">OR (IC 95%)</th>
              </tr>
              <tr style="background-color:#76B4CF">
                <th align="center" valign="middle">Inferior</th>
                <th align="center" valign="middle">Superior</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle">Intercepto</td>
                <td align="center" valign="middle">-1,551</td>
                <td align="center" valign="middle">0,195</td>
                <td align="center" valign="middle">&lt;0,001</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle">Regi&#227;o(Sul)</td>
                <td align="center" valign="middle">0,049</td>
                <td align="center" valign="middle">0,172</td>
                <td align="center" valign="middle">0,777</td>
                <td align="center" valign="middle">1,05</td>
                <td align="center" valign="middle">0,75</td>
                <td align="center" valign="middle">1,47</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Regi&#227;o (Nordeste)</td>
                <td align="center" valign="middle">0,533</td>
                <td align="center" valign="middle">0,189</td>
                <td align="center" valign="middle">
                  <bold>0,005</bold>
                </td>
                <td align="center" valign="middle">1,704</td>
                <td align="center" valign="middle">1,176</td>
                <td align="center" valign="middle">2,469</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle">Regi&#227;o(Norte)</td>
                <td align="center" valign="middle">1,538</td>
                <td align="center" valign="middle">0,245</td>
                <td align="center" valign="middle">&lt;<bold>0,001</bold></td>
                <td align="center" valign="middle">4,653</td>
                <td align="center" valign="middle">2,879</td>
                <td align="center" valign="middle">7,521</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Regi&#227;o (Centro-Oeste)</td>
                <td align="center" valign="middle">1,392</td>
                <td align="center" valign="middle">0,59</td>
                <td align="center" valign="middle">
                  <bold>0,018</bold>
                </td>
                <td align="center" valign="middle">4,024</td>
                <td align="center" valign="middle">1,267</td>
                <td align="center" valign="middle">12,787</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle">Sexo (Masculino)</td>
                <td align="center" valign="middle">-0,203</td>
                <td align="center" valign="middle">0,139</td>
                <td align="center" valign="middle">0,146</td>
                <td align="center" valign="middle">0,816</td>
                <td align="center" valign="middle">0,621</td>
                <td align="center" valign="middle">1,073</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Dislipidemia (Sim)</td>
                <td align="center" valign="middle">-0,224</td>
                <td align="center" valign="middle">0,135</td>
                <td align="center" valign="middle">0,096</td>
                <td align="center" valign="middle">0,799</td>
                <td align="center" valign="middle">0,614</td>
                <td align="center" valign="middle">1,04</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle">IAM pr&#233;vio (Sim)</td>
                <td align="center" valign="middle">0,594</td>
                <td align="center" valign="middle">0,162</td>
                <td align="center" valign="middle">&lt;<bold>0,001</bold></td>
                <td align="center" valign="middle">1,812</td>
                <td align="center" valign="middle">1,32</td>
                <td align="center" valign="middle">2,487</td>
              </tr>
              <tr>
                <td align="left" valign="middle">HAS(Sim)</td>
                <td align="center" valign="middle">0,391</td>
                <td align="center" valign="middle">0,144</td>
                <td align="center" valign="middle">
                  <bold>0,007</bold>
                </td>
                <td align="center" valign="middle">1,478</td>
                <td align="center" valign="middle">1,113</td>
                <td align="center" valign="middle">1,962</td>
              </tr>
              <tr style="background-color:#C7DFEC">
                <td align="left" valign="middle">Sedentarismo (Sim)</td>
                <td align="center" valign="middle">0,199</td>
                <td align="center" valign="middle">0,13</td>
                <td align="center" valign="middle">0,126</td>
                <td align="center" valign="middle">1,22</td>
                <td align="center" valign="middle">0,945</td>
                <td align="center" valign="middle">1,575</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Tabagismo (Atual)</td>
                <td align="center" valign="middle">-0,245</td>
                <td align="center" valign="middle">0,134</td>
                <td align="center" valign="middle">0,069</td>
                <td align="center" valign="middle">0,783</td>
                <td align="center" valign="middle">0,602</td>
                <td align="center" valign="middle">1,019</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN5">
              <p>HAS: hipertens&#227;o arterial sist&#234;mica; IAM: infarto agudo do mioc&#225;rdio; IC: intervalo de confian&#231;a; OR: odds ratio.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discuss&#227;o</title>
      <p>O Registro ACCEPT &#233; o maior registro nacional em SCA at&#233; o momento e, nesta an&#225;lise, foi poss&#237;vel tra&#231;ar as caracter&#237;sticas, tratamento e progn&#243;stico de pacientes com SCACEST eleg&#237;veis para terapia de reperfus&#227;o em uma popula&#231;&#227;o que contempla as 5 regi&#245;es do pa&#237;s. Foi poss&#237;vel verificarmos a taxa global de reperfus&#227;o e por regi&#227;o e o progn&#243;stico no que tange a ocorr&#234;ncia de eventos cardiovasculares maiores (morte, reinfarto, AVE) no seguimento de at&#233; 1 ano, al&#233;m de avaliar os preditores independentes para a n&#227;o reperfus&#227;o. Estes dados poder&#227;o ser &#250;teis para uma melhor defini&#231;&#227;o de pol&#237;ticas de sa&#250;de para atingir um melhor cuidado ao paciente com SCACEST nas diversas regi&#245;es.<sup><xref ref-type="bibr" rid="B12">12</xref>-<xref ref-type="bibr" rid="B14">14</xref></sup></p>
      <sec>
        <title>Taxas de reperfus&#227;o</title>
        <p>Reperfus&#227;o foi realizada em 76,3%, mas variou de 47,5% na regi&#227;o Norte a 80,5% na Sudeste. Ao passo que as regi&#245;es Sul, Sudeste e Nordeste apresentaram taxas compar&#225;veis a de registros norteamericanos<sup><xref ref-type="bibr" rid="B15">15</xref></sup> e de pa&#237;ses da Europa Ocidental,<sup><xref ref-type="bibr" rid="B16">16</xref></sup> as taxas no Centro-Oeste e Norte s&#227;o compat&#237;veis com a de pa&#237;ses do Leste Europeu e do Oriente M&#233;dio.<sup><xref ref-type="bibr" rid="B16">16</xref></sup></p>
        <p>O Brasil &#233; um pa&#237;s continental com aspectos heterog&#234;neos em termos de estrutura hospitalar e de log&#237;stica de atendimento. Taxas de reperfus&#227;o est&#227;o diretamente associadas &#224; cria&#231;&#227;o de redes de atendimento ao paciente com SCA e &#224; disponibilidade de servi&#231;os de atendimento terci&#225;rio na localidade com capacidade para interven&#231;&#227;o diuturnamente. Estes dados mostram uma necessidade iminente de uma aten&#231;&#227;o focada nessas regi&#245;es para entender os gargalos associados &#224;s baixas taxas de reperfus&#227;o que podem estar no campo n&#227;o s&#243; da disponibilidade de servi&#231;os, mas tamb&#233;m de recursos de realiza&#231;&#227;o e interpreta&#231;&#227;o de ECG, diagn&#243;stico cl&#237;nico, disponibilidade de medica&#231;&#227;o trombol&#237;tica e de rotas de transfer&#234;ncia para centros terci&#225;rios al&#233;m da log&#237;stica de transporte. Experi&#234;ncias nacionais j&#225; foram publicadas com a implementa&#231;&#227;o de redes de atendimento &#224; SCACEST com resultados positivos, mostrando que a&#231;&#245;es integradas de implementa&#231;&#227;o de rotinas e capacita&#231;&#227;o t&#233;cnica s&#227;o capazes de melhorar o cuidado nesta popula&#231;&#227;o.<sup><xref ref-type="bibr" rid="B17">17</xref>,<xref ref-type="bibr" rid="B18">18</xref></sup></p>
      </sec>
      <sec>
        <title>Ader&#234;ncia &#224; terapias baseadas em evid&#234;ncias</title>
        <p>Outro par&#226;metro de nota no cuidado ao paciente com SCACEST &#233; o uso de terapias que sejam classicamente relacionadas a um melhor desfecho no seguimento de m&#233;dio e longo prazo dos pacientes. Foi poss&#237;vel observar que na admiss&#227;o um percentual consider&#225;vel dos pacientes estavam adequadamente tratados com uso de dupla-antiagrega&#231;&#227;o, estatinas, betabloqueador e IECA/BRA, por&#233;m este percentual caiu gradualmente no seguimento de 30 dias e principalmente no seguimento de 6 meses, o que pode estar relacionado a uma menor &#234;nfase na import&#226;ncia da manuten&#231;&#227;o destas medica&#231;&#245;es no seguimento ambulatorial a n&#237;vel de aten&#231;&#227;o secund&#225;ria ou mesmo em uma baixa ader&#234;ncia ou dificuldade na aquisi&#231;&#227;o/acesso destas medica&#231;&#245;es. Protocolos e capacita&#231;&#245;es s&#227;o mais prevalentes para o cuidado hospitalar. Dante do achado, acredita-se que a&#231;&#245;es para garantir que estas medica&#231;&#245;es sejam mantidas no seguimento ambulatorial s&#227;o importantes para evitar eventos recorrentes.</p>
      </sec>
      <sec>
        <title>Progn&#243;stico</title>
        <p>A taxa global de eventos de 12,5% no seguimento de 1 ano, tendo sido maior na regi&#227;o Centro-Oeste com 25% de mortalidade em 1 ano. As taxas mais altas foram encontradas nas regi&#245;es Norte e Centro-Oeste, sendo estas as regi&#245;es com menores taxas de utiliza&#231;&#227;o de terapia de reperfus&#227;o e de uso de terapias baseadas em evid&#234;ncias; estes achados est&#227;o potencialmente relacionados ao maior n&#250;mero de desfechos e pior progn&#243;stico nestas regi&#245;es. Em um estudo na cidade de Salvador-BA, uma taxa de eventos de 15% em 30 dias foi encontrada<sup><xref ref-type="bibr" rid="B18">18</xref></sup> e, em um estudo no estado de Sergipe,<sup><xref ref-type="bibr" rid="B19">19</xref></sup> os autores encontraram 12,8% em 30 dias. Dados europeus mostraram uma mortalidade intra-hospitalar que variava de 3% a 10%<sup><xref ref-type="bibr" rid="B16">16</xref></sup> e o registro americano mostrou uma mortalidade intra-hospitalar de 7,9%.<sup><xref ref-type="bibr" rid="B15">15</xref></sup></p>
        <p>Chamou aten&#231;&#227;o a regi&#227;o Nordeste ter as menores taxas de eventos combinados (5,2%), apesar de ter uma taxa de utiliza&#231;&#227;o de reperfus&#227;o menor que as regi&#245;es Sul e Sudeste. Tal fato pode ter rela&#231;&#227;o com outros fatores, como o tipo de centros envolvidos na regi&#227;o Nordeste, em que prevaleceram centros de atendimento de rede suplementar, e uma menor representatividade de centros de aten&#231;&#227;o pelo SUS com maior perda de seguimento nesta regi&#227;o em compara&#231;&#227;o com Sul e Sudeste (4% versus 30%).</p>
      </sec>
      <sec>
        <title>Preditores de n&#227;o utiliza&#231;&#227;o de terapia de reperfus&#227;o</title>
        <p>O tratamento da SCACEST tem na reperfus&#227;o imediata seu pilar fundamental e n&#227;o deve ser retardada naqueles pacientes com apresenta&#231;&#227;o na janela de 12 horas do in&#237;cio dos sintomas, seja com uso de terapia trombol&#237;tica ou por reperfus&#227;o mec&#226;nica via angioplastia prim&#225;ria. No Registro ACCEPT, a forma mais utilizada de reperfus&#227;o foi a angioplastia prim&#225;ria, o que pode estar relacionado &#224; natureza dos centros participantes que de certa forma eram centros de refer&#234;ncia local ou regional em aten&#231;&#227;o na cardiologia. O entendimento dos preditores de n&#227;o utiliza&#231;&#227;o de terapia de reperfus&#227;o se faz importante como um guia nas a&#231;&#245;es e cria&#231;&#227;o das redes de aten&#231;&#227;o ao infarto do mioc&#225;rdio.</p>
        <p>Foi poss&#237;vel verificar que as regi&#245;es Norte, Centro-Oeste e Nordeste estiveram relacionadas de forma independente &#224; possibilidade de n&#227;o receber terapia de reperfus&#227;o. Pol&#237;ticas espec&#237;ficas de cria&#231;&#227;o de redes de atendimento ao paciente com SCA s&#227;o prementes nestas regi&#245;es para que possamos estreitar o hiato e as diferen&#231;as em rela&#231;&#227;o ao Sul e ao Sudeste. Al&#233;m da quest&#227;o geogr&#225;fica, a hist&#243;ria de infarto pr&#233;vio e a hipertens&#227;o arterial sist&#234;mica foram tamb&#233;m relacionadas &#224; chance de n&#227;o receber terapia de reperfus&#227;o. O infarto pr&#233;vio poderia estar relacionado a altera&#231;&#245;es no ECG que podem confundir e dificultar a interpreta&#231;&#227;o como altera&#231;&#245;es de repolariza&#231;&#227;o ou zonas inativas. J&#225; a presen&#231;a de hipertens&#227;o n&#227;o controlada pode, por exemplo, levar a maior receio de iniciar terapia trombol&#237;tica em centros que n&#227;o disponham de hemodin&#226;mica 24/7 ou com equipes menos experientes no atendimento &#224; SCA. Dados nos EUA,<sup><xref ref-type="bibr" rid="B15">15</xref></sup> um pa&#237;s de dimens&#245;es continentais como o Brasil, tamb&#233;m mostraram uma rela&#231;&#227;o independente entre a regi&#227;o geogr&#225;fica e a chance de n&#227;o receber terapia de reperfus&#227;o. Infarto pr&#233;vio e hipertens&#227;o tamb&#233;m foram preditores independentes nos EUA.</p>
      </sec>
      <sec>
        <title>Pontos fortes e limita&#231;&#245;es</title>
        <p>Um ponto forte do nosso estudo &#233; o fato de abranger as 5 regi&#245;es do pa&#237;s e ser o estudo de registro com maior n&#250;mero de pacientes no pa&#237;s at&#233; a presente data e ainda o seguimento de 1 ano ap&#243;s o evento.</p>
        <p>Nosso estudo tem limita&#231;&#245;es e ressaltamos que, apesar de termos representatividade em todas regi&#245;es, esta se concentrou na regi&#227;o Sudeste e a maioria dos centros estavam localizados nas capitais e em hospitais com capacidade de engajar-se em um registro de coleta de dados cl&#237;nicos, o que de certa forma selecionou centros de melhor capacidade t&#233;cnica, podendo assim a realidade ser diferente em centros menos experimentados. Como ressaltado, a perda de seguimento na regi&#227;o Nordeste pode de certa forma ter contribu&#237;do para um grau de subnotifica&#231;&#227;o de eventos nessa regi&#227;o. O fato de n&#227;o ter havido uma adjudica&#231;&#227;o de eventos pode ser, tamb&#233;m, interpretado como uma limita&#231;&#227;o, por&#233;m o uso do desfecho como interpretado pelo pr&#243;prio investigador traz uma no&#231;&#227;o mais pr&#243;xima da rotina e da vida real.</p>
        <p>O Registro ACCEPT finalizou seu per&#237;odo de coleta em 2014 e com seus dados tem-se a oportunidade de trazer informa&#231;&#245;es importantes no cuidado do infarto agudo do mioc&#225;rdio no Brasil, por&#233;m mesmo em um registro nacional e sob a &#233;gide da Sociedade Brasileira de Cardiologia algumas regi&#245;es como a Norte e a Centro-Oeste foram pouco representadas. Novos registros nacionais com uma abrang&#234;ncia maior n&#227;o s&#243; de capitais, mas tamb&#233;m de cidades no interior e em rinc&#245;es mais distantes do pa&#237;s e em hospitais de aten&#231;&#227;o prim&#225;ria e secund&#225;ria al&#233;m dos terci&#225;rios ser&#227;o importantes para dados ainda mais reprodutivos. Os dados ora apresentados ser&#227;o primordiais para estas compara&#231;&#245;es futuras. Com a evolu&#231;&#227;o da coleta de dados direta de prontu&#225;rios eletr&#244;nicos e com an&#225;lise de big data essa tarefa pode ser de certa forma facilitada.</p>
      </sec>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclus&#227;o</title>
      <p>No seguimento de 1 ano do Registro ACCEPT, foi poss&#237;vel determinar a taxa de reperfus&#227;o no infarto do mioc&#225;rdio com supradesn&#237;vel de ST, a ader&#234;ncia as principais medica&#231;&#245;es e o progn&#243;stico. Foi verificado uma ampla varia&#231;&#227;o dentre as regi&#245;es na ader&#234;ncia &#224;s melhores pr&#225;ticas. Pertencer a regi&#227;o Norte, Centro-Oeste ou Nordeste, ser hipertenso e ter infarto pr&#233;vio foram preditores independentes de n&#227;o reperfus&#227;o.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="supported-by" id="fn1">
        <label>Fontes de financiamento</label>
        <p>O presente estudo foi financiado pela Sociedade Brasileira de Cardiologia.</p>
      </fn>
      <fn fn-type="other" id="fn2">
        <label>Vincula&#231;&#227;o acad&#234;mica</label>
        <p>Este artigo &#233; parte da tese de conclus&#227;o do curso de p&#243;s gradua&#231;&#227;o em pesquisa cl&#237;nica de Luiz Eduardo Fonteles Ritt pelo Brazilian Clinical Research Institute (BCRI).</p>
      </fn>
      <fn fn-type="other" id="fn3">
        <label>Aprova&#231;&#227;o &#233;tica e consentimento informado</label>
        <p>Este estudo foi aprovado pelo Comit&#234; de &#201;tica do Hospital do Cora&#231;&#227;o - HCor sob o n&#250;mero de protocolo 117/2010. 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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        <mixed-citation>17 Solla DJF, Paiva IM Filho, Delisle JE, Braga AA, Moura JB, Moraes X Jr, et al. Integrated Regional Networks for ST-segment-elevation Myocardial Infarction Care in Developing Countries: The Experience of Salvador, Bahia, Brazil. Circ Cardiovasc Qual Outcomes. 2013;6(1):9-17. doi: 10.1161/CIRCOUTCOMES.112.967505.</mixed-citation>
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              <suffix>Filho</suffix>
            </name>
            <name>
              <surname>Feitosa</surname>
              <given-names>GS</given-names>
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            </name>
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              <surname>Solla</surname>
              <given-names>DJF</given-names>
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              <given-names>FC</given-names>
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            <name>
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              <given-names>PO</given-names>
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            <name>
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    <app-group>
      <app id="app1">
        <label>*Material suplementar</label>
        <p>Para informa&#231;&#227;o adicional, por favor, <ext-link ext-link-type="uri" xlink:href="http://abccardiol.org/supplementary-material/2024/12111/2023-0863_AO_Material-Suplementar.pdf">clique aqui</ext-link>.</p>
      </app>
    </app-group>
  </back>
  <sub-article article-type="translation" id="S1" xml:lang="en">
    <front-stub>
      <article-id pub-id-type="doi">10.36660/abc.20230863i</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Myocardial Infarction with ST Elevation and Reperfusion Therapy in Brazil: Data from the ACCEPT Registry</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-9320-7999</contrib-id>
          <name>
            <surname>Ritt</surname>
            <given-names>Luiz Eduardo Fonteles</given-names>
          </name>
          <xref ref-type="aff" rid="aff24">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff25">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="aff26">
            <sup>3</sup>
          </xref>
          <xref ref-type="corresp" rid="c2"/>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Statistical analysis</role>
          <role>Writing of the manuscript</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-1940-4470</contrib-id>
          <name>
            <surname>Silva</surname>
            <given-names>Pedro Gabriel Melo de Barros e</given-names>
          </name>
          <xref ref-type="aff" rid="aff27">
            <sup>4</sup>
          </xref>
          <xref ref-type="aff" rid="aff28">
            <sup>5</sup>
          </xref>
          <xref ref-type="aff" rid="aff29">
            <sup>6</sup>
          </xref>
          <xref ref-type="aff" rid="aff30">
            <sup>7</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Statistical analysis</role>
          <role>Obtaining financing</role>
          <role>Writing of the manuscript</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Darz&#233;</surname>
            <given-names>Eduardo Sahade</given-names>
          </name>
          <xref ref-type="aff" rid="aff24">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff25">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="aff26">
            <sup>3</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Santos</surname>
            <given-names>Renato Hideo Nakagawa</given-names>
          </name>
          <xref ref-type="aff" rid="aff27">
            <sup>4</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Analysis and interpretation of the data</role>
          <role>Statistical analysis</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>de Oliveira</surname>
            <given-names>Queila Borges</given-names>
          </name>
          <xref ref-type="aff" rid="aff24">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff25">
            <sup>2</sup>
          </xref>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Berwanger</surname>
            <given-names>Otavio</given-names>
          </name>
          <xref ref-type="aff" rid="aff27">
            <sup>4</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Statistical analysis</role>
          <role>Obtaining financing</role>
          <role>Writing of the manuscript</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mattos</surname>
            <given-names>Luiz Alberto Piva e</given-names>
          </name>
          <xref ref-type="aff" rid="aff24">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff31">
            <sup>8</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Obtaining financing</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>dos Santos</surname>
            <given-names>Elizabete Silva</given-names>
          </name>
          <xref ref-type="aff" rid="aff32">
            <sup>9</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-4158-9726</contrib-id>
          <name>
            <surname>Souza</surname>
            <given-names>Antonio Carlos Sobral</given-names>
          </name>
          <xref ref-type="aff" rid="aff24">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff33">
            <sup>10</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Writing of the manuscript</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Cavalcante</surname>
            <given-names>Margaret Assad</given-names>
          </name>
          <xref ref-type="aff" rid="aff34">
            <sup>11</sup>
          </xref>
          <xref ref-type="aff" rid="aff35">
            <sup>12</sup>
          </xref>
          <role>Acquisition of data</role>
          <role>Writing of the manuscript</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-3511-7375</contrib-id>
          <name>
            <surname>de Andrade</surname>
            <given-names>Pedro Beraldo</given-names>
          </name>
          <xref ref-type="aff" rid="aff36">
            <sup>13</sup>
          </xref>
          <xref ref-type="aff" rid="aff37">
            <sup>14</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Neuenschwander</surname>
            <given-names>Fernando Carvalho</given-names>
          </name>
          <xref ref-type="aff" rid="aff38">
            <sup>15</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Vargas</surname>
            <given-names>Hugo</given-names>
            <suffix>Filho</suffix>
          </name>
          <xref ref-type="aff" rid="aff39">
            <sup>16</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Guimar&#227;es</surname>
            <given-names>Jorge Ilha</given-names>
          </name>
          <xref ref-type="aff" rid="aff31">
            <sup>8</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Obtaining financing</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>de Andrade</surname>
            <given-names>Jadelson Pinheiro</given-names>
          </name>
          <xref ref-type="aff" rid="aff31">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff40">
            <sup>17</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Obtaining financing</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>de Paola</surname>
            <given-names>Angelo Amato Vincenzo</given-names>
          </name>
          <xref ref-type="aff" rid="aff31">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff41">
            <sup>18</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Obtaining financing</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8171-3920</contrib-id>
          <name>
            <surname>Malachias</surname>
            <given-names>Marcus Vin&#237;cius Bol&#237;var</given-names>
          </name>
          <xref ref-type="aff" rid="aff31">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff42">
            <sup>19</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Obtaining financing</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-1187-8690</contrib-id>
          <name>
            <surname>Pr&#233;coma</surname>
            <given-names>Dalton Bertolim</given-names>
          </name>
          <xref ref-type="aff" rid="aff31">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff43">
            <sup>20</sup>
          </xref>
          <xref ref-type="aff" rid="aff44">
            <sup>21</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bacal</surname>
            <given-names>Fernando</given-names>
          </name>
          <xref ref-type="aff" rid="aff31">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff45">
            <sup>22</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Obtaining financing</role>
          <role>Critical revision of the manuscript for content</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Dutra</surname>
            <given-names>Oscar Pereira</given-names>
          </name>
          <xref ref-type="aff" rid="aff31">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff46">
            <sup>23</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Obtaining financing</role>
          <role>Critical revision of the manuscript for content</role>
          <on-behalf-of>on behalf of ACCEPT investigators</on-behalf-of>
        </contrib>
        <aff id="aff24">
          <label>1</label>
          <addr-line>
            <named-content content-type="city">Rio de Janeiro</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Instituto D&#8217;Or de Ensino e Pesquisa, Rio de Janeiro, RJ &#8211; Brazil</institution>
        </aff>
        <aff id="aff25">
          <label>2</label>
          <addr-line>
            <named-content content-type="city">Salvador</named-content>
            <named-content content-type="state">BA</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital C&#225;rdio Pulmonar, Salvador, BA &#8211; Brazil</institution>
        </aff>
        <aff id="aff26">
          <label>3</label>
          <addr-line>
            <named-content content-type="city">Salvador</named-content>
            <named-content content-type="state">BA</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Escola Bahiana de Medicina e Sa&#250;de P&#250;blica, Salvador, BA &#8211; Brazil</institution>
        </aff>
        <aff id="aff27">
          <label>4</label>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hcor, Hospital do Cora&#231;&#227;o, S&#227;o Paulo, SP &#8211; Brazil</institution>
        </aff>
        <aff id="aff28">
          <label>5</label>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Brazilian Clinical Research Institute, S&#227;o Paulo, SP &#8211; Brazil</institution>
        </aff>
        <aff id="aff29">
          <label>6</label>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital Samaritano Paulista, S&#227;o Paulo, SP &#8211; Brazil</institution>
        </aff>
        <aff id="aff30">
          <label>7</label>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Centro Universit&#225;rio S&#227;o Camilo, S&#227;o Paulo, SP &#8211; Brazil</institution>
        </aff>
        <aff id="aff31">
          <label>8</label>
          <addr-line>
            <named-content content-type="city">Rio de Janeiro</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Sociedade Brasileira de Cardiologia, Rio de Janeiro, RJ &#8211; Brazil</institution>
        </aff>
        <aff id="aff32">
          <label>9</label>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Instituto Dante Pazzanese de Cardiologia, S&#227;o Paulo, SP &#8211; Brazil</institution>
        </aff>
        <aff id="aff33">
          <label>10</label>
          <addr-line>
            <named-content content-type="city">Aracaju</named-content>
            <named-content content-type="state">SE</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital S&#227;o Lucas, Aracaju, SE &#8211; Brazil</institution>
        </aff>
        <aff id="aff34">
          <label>11</label>
          <addr-line>
            <named-content content-type="city">Presidente Prudente</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Universidade do Oeste Paulista (Unoeste), Presidente Prudente, SP &#8211; Brazil</institution>
        </aff>
        <aff id="aff35">
          <label>12</label>
          <addr-line>
            <named-content content-type="city">Presidente Prudente</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital Regional de Presidente Prudente, Presidente Prudente, SP &#8211; Brazil</institution>
        </aff>
        <aff id="aff36">
          <label>13</label>
          <addr-line>
            <named-content content-type="city">Mar&#237;lia</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Faculdade de Medicina de Mar&#237;lia, Mar&#237;lia, SP &#8211; Brazil</institution>
        </aff>
        <aff id="aff37">
          <label>14</label>
          <addr-line>
            <named-content content-type="city">Mar&#237;lia</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Santa Casa de Mar&#237;lia, Mar&#237;lia, SP &#8211; Brazil</institution>
        </aff>
        <aff id="aff38">
          <label>15</label>
          <addr-line>
            <named-content content-type="city">Belo Horizonte</named-content>
            <named-content content-type="state">MG</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital Vera Cruz, Belo Horizonte, MG &#8211; Brazil</institution>
        </aff>
        <aff id="aff39">
          <label>16</label>
          <addr-line>
            <named-content content-type="city">Passo Fundo</named-content>
            <named-content content-type="state">RS</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital S&#227;o Vicente de Paulo, Passo Fundo, RS &#8211; Brazil</institution>
        </aff>
        <aff id="aff40">
          <label>17</label>
          <addr-line>
            <named-content content-type="city">Salvador</named-content>
            <named-content content-type="state">BA</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital da Bahia, Salvador, BA &#8211; Brazil</institution>
        </aff>
        <aff id="aff41">
          <label>18</label>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Universidade Federal de S&#227;o Paulo Escola Paulista de Medicina, S&#227;o Paulo, SP &#8211; Brazil</institution>
        </aff>
        <aff id="aff42">
          <label>19</label>
          <addr-line>
            <named-content content-type="city">Belo Horizonte</named-content>
            <named-content content-type="state">MG</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Faculdade de Ci&#234;ncias M&#233;dicas de Minas Gerais, Belo Horizonte, MG &#8211; Brazil</institution>
        </aff>
        <aff id="aff43">
          <label>20</label>
          <addr-line>
            <named-content content-type="city">Curitiba</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Pontif&#237;cia Universidade Cat&#243;lica do Paran&#225; - Escola de Medicina, Curitiba, PR &#8211; Brazil</institution>
        </aff>
        <aff id="aff44">
          <label>21</label>
          <addr-line>
            <named-content content-type="city">Campina Grande do Sul</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Sociedade Hospitalar Angelina Caron &#8211; Cardiologia, Campina Grande do Sul, PR &#8211; Brazil</institution>
        </aff>
        <aff id="aff45">
          <label>22</label>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Universidade de S&#227;o Paulo Faculdade de Medicina Hospital das Cl&#237;nicas Instituto do Cora&#231;&#227;o, S&#227;o Paulo, SP &#8211; Brazil</institution>
        </aff>
        <aff id="aff46">
          <label>23</label>
          <addr-line>
            <named-content content-type="city">Porto Alegre</named-content>
            <named-content content-type="state">RS</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Instituto de Cardiologia &#8211; Funda&#231;&#227;o Universit&#225;ria de Cardiologia do Rio Grande do Sul, Porto Alegre, RS &#8211; Brazil</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c2"><label>Mailing Address:</label><bold>Luiz Eduardo Fonteles Ritt</bold> &#8226; Hospital Cardio Pulmonar &#8211; Centro de Estudos Cl&#237;nicos &#8211; Av. Anita Garibaldi, 2199. Postal Code <postal-code>40170-130</postal-code>, Ondina, Salvador, BA &#8211; Brazil E-mail: <email>luizritt@hotmail.com</email>, <email>luizritt@bahiana.edu.br</email></corresp>
        <fn fn-type="conflict">
          <label>Potential conflict of interest</label>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
        <fn fn-type="edited-by">
          <label>Editor responsible for the review:</label>
          <p>Gl&#225;ucia Maria Moraes de Oliveira</p>
        </fn>
      </author-notes>
      <abstract>
        <title>ABSTRACT</title>
        <sec>
          <title>Background:</title>
          <p>There is a lack of information from Brazil regarding therapies used and outcomes in patients with acute coronary syndrome with ST elevation (STEMI).</p>
        </sec>
        <sec>
          <title>Objectives:</title>
          <p>To evaluate evidence-based therapies, occurrence of outcomes, reperfusion use, and predictors of not receiving reperfusion in patients with STEMI in a national multicenter registry.</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>Patients with STEMI from the ACCEPT registry, with up to 12 hours of symptoms, were followed for 1 year for the occurrence of major adverse cardiovascular events. A significance level of p &lt; 0.05 was applied for all analyses.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>In the analysis of 1553 patients, the reperfusion rate was 76.8%, ranging from 47.5% in the North Region to 80.5% in the Southeast Region. The rate of major adverse cardiovascular events was 12.5% at 1 year. The prescription of evidence-based therapies at hospital admission was 65.6%. The presence of hypertension (odds ratio [OR] 1.47; 95% confidence interval [CI] 1.11 to 1.96; p &lt; 0.01); prior acute myocardial infarction (OR 1.81; 95% CI 1.32 to 2.48; p &lt; 0.001); and the North (OR 4.65; 95% CI 2.87 to 7.52; p &lt; 0.001), Central-West (OR 4.02; 95% CI 1.26 to 12.7; p &lt; 0.05), and Northeast Regions (OR 1.70; 95% CI 1.17 to 2.46; p &lt; 0.01) were independent predictors of not receiving reperfusion therapy.</p>
        </sec>
        <sec>
          <title>Conclusion:</title>
          <p>In the 1-year follow-up of the ACCEPT Registry, we were able to verify a wide variation within Brazilian geographical regions regarding adherence to best care practices. The following were independent predictors of not receiving reperfusion therapy: being treated in the North, Central-West, and Northeast Regions; having systemic arterial hypertension; and prior infarction.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Myocardial Infarction</kwd>
        <kwd>Acute Coronary Syndrome</kwd>
        <kwd>Medical Record Linkage</kwd>
      </kwd-group>
    </front-stub>
    <body>
      <fig id="f5">
        <graphic xlink:href="1678-4170-abc-121-11-e20230863-30863-gf01-en.tif"/></fig>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>Cardiovascular diseases represent the leading cause of mortality and disability in Brazil and worldwide.<sup><xref ref-type="bibr" rid="B1">1</xref>-<xref ref-type="bibr" rid="B3">3</xref></sup> Acute coronary heart disease, called acute coronary syndrome (ACS), represents the most important isolated cause of death in epidemiological data, even during the COVID-19 pandemic.<sup><xref ref-type="bibr" rid="B4">4</xref>,<xref ref-type="bibr" rid="B5">5</xref></sup> Within the spectrum of ACS, acute coronary syndrome with ST elevation (STEMI) is associated with the highest rates of complications and mortality, and optimal prognosis is directly dependent on rapid care and immediate implementation of reperfusion therapy.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref></sup> However, there are failures in the application of evidence-based therapies in patients with ACS, as identified in previous registries of clinical practice.<sup><xref ref-type="bibr" rid="B8">8</xref>-<xref ref-type="bibr" rid="B10">10</xref></sup> Brazil is a continent-sized country with disparities in access to health care, which can directly impact the standard of care for ACS, especially in time-sensitive situations such as STEMI. Knowledge about the standard of care for STEMI and aspects related to better prognosis in Brazil is necessary information for better organization of health services and for the implementation of strategies to improve care, in both the public or private sectors.</p>
        <sec>
          <title>Study objectives</title>
          <p>Based on data from the ACCEPT Registry, a national registry conducted by the Brazilian Society of Cardiology in 53 centers representing all Brazilian regions, we evaluated the profile and prognosis of patients treated for STEMI in Brazil, with the following objectives:</p>
          <list list-type="order">
            <list-item>
              <p>To describe their overall and regional clinical characteristics, treatment profiles, and prognoses;</p>
            </list-item>
            <list-item>
              <p>Evaluate the overall and regional reperfusion rate and types of reperfusion applied;</p>
            </list-item>
            <list-item>
              <p>Evaluate predictors of not using reperfusion therapy.</p>
            </list-item>
          </list>
        </sec>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <sec>
          <title>Study design</title>
          <p>The ACCEPT (Acute Coronary Care Evaluation of Practice Registry) is a project designed by the Brazilian Society of Cardiology whose methods have been previously published.<sup><xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref></sup> In summary, it is a prospective, voluntary, multicenter study that brought together 53 centers from the 5 Brazilian regions, distributed as follows: Southeast 50.9%, Northeast 13.2%, South 24.5%, Central-West 5.7%, and North 5.7%. The registry included patients in hospital centers with public care (Brazilian Unified Health System [SUS]), supplementary health (health insurance companies), or private hospitals from August 2010 to April 2014, distributed as follows: SUS 55.8%, supplementary health 41.2%, and private 3%.</p>
        </sec>
        <sec>
          <title>Study participants</title>
          <p>The registry included patients diagnosed with the following presentations of ACS: ACS without ST elevation (unstable angina or acute myocardial infarction without ST-segment elevation) as well as cases of STEMI. Patients transferred from other institutions more than 12 hours after onset of symptoms were excluded.</p>
          <p>This analysis included only patients with STEMI, which was defined as the presence of symptoms compatible with ACS for more than 20 minutes associated with ST-segment elevation in 2 or more contiguous leads that were &gt; 2 mm in the precordial leads or &gt; 1 mm in the peripheral leads or new left bundle branch block with Q wave in 2 contiguous leads. Patients outside the reperfusion window (more than 12 hours after presentation) were not included in the analysis.</p>
        </sec>
        <sec>
          <title>Study procedures and variables analyzed</title>
          <p>The study procedures and variables analyzed in the ACCEPT study have been previously published.<sup><xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref></sup></p>
          <p>In brief, patients&#8217; demographic, clinical, and treatment data were collected. Patients were followed up at 7 days or until hospital discharge (whichever occurred first), 30 days, 6 months, and 1 year.</p>
          <p>Given that it was a pragmatic study, patients&#8217; comorbidities (e.g., hypertension, dyslipidemia) could be identified as follows: patient report, medication use (antihypertensive, lipid-lowering agents), or investigator assessment; in the latter case, centers were instructed to follow the diagnostic criteria recommendations adopted by the current Brazilian Society of Cardiology guidelines. Physical examination characteristics were obtained by direct measurement (obesity defined as body mass index &gt; 30 kg/m<sup>2</sup>). Other criteria were based on medical records of a variable collected through questions in an interview (e.g., stress, ex-smoker if they had quit at least 6 months before). The evidence-based therapeutic regimen that was considered in the ACCEPT Registry was not modified during the study, and it was based on current guidelines. This therapeutic regimen can be divided as follows:</p>
          <list list-type="simple">
            <list-item>
              <label>&#8211;</label>
              <p>Admission for index event: dual antiplatelet therapy, parenteral anticoagulant, statin, and beta blocker, with addition of reperfusion therapy in cases of STEMI</p>
            </list-item>
            <list-item>
              <label>&#8211;</label>
              <p>Outpatient therapy (after discharge): dual antiplatelet therapy, statin, beta blocker, and angiotensin-converting enzyme inhibitor/angiotensin receptor blocker (ACEI/ARB).</p>
            </list-item>
          </list>
          <p>With respect to reperfusion therapy, patients were divided into the following 3 groups: mechanical reperfusion therapy (primary angioplasty), pharmacological reperfusion (thrombolytic therapy), and no reperfusion.</p>
          <p>The cardiovascular outcomes of interest analyzed in the population included were cardiovascular mortality, non-fatal cardiac arrest, reinfarction, and stroke. These outcomes were reported by the investigator according to recommended criteria, without the use of an independent event adjudication committee.</p>
        </sec>
        <sec>
          <title>Statistical analysis</title>
          <p>Categorical variables were described as absolute or relative frequencies and compared using the chi-square test or the Fisher-Freeman-Halton exact test.</p>
          <p>Continuous variables with normal distribution were presented as mean and standard deviation. Those with non-normal distribution were presented as median and interquartile range. Histogram analysis was applied to define the distribution. Means between two groups were compared using the unpaired Student's test, and those between more than two groups were compared using one-way analysis of variance (ANOVA). Bonferroni correction was used for multiple comparisons.</p>
          <p>Cox regression models were applied to determine predictors of not receiving reperfusion therapy. Kaplan-Meier survival analysis was applied for survival analysis, and log-rank statistics were applied to compare survival curves.</p>
          <p>Analyses were considered significant if they reached p &lt; 0.05. All analyses were performed using the R program, version 3.6.1.</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>Of the total of 5047 patients included in the registry, 1714 (34%) were diagnosed with STEMI. Of these, 1553 patients (31% of the total) were within the 12-hour window of symptom onset, forming the population of this analysis. In a total of 147 patients (9.5%), it was not possible to obtain final 12-month information.</p>
        <sec>
          <title>Baseline characteristics</title>
          <p>The clinical-demographic and treatment profile of patients with STEMI in general and according to region showed a higher prevalence of male sex (73%), with a mean age of 60.7 &#177; 12.3 years and a greater number of patients treated in public services (66%). Regarding risk factors, dyslipidemia was present in 43%, diabetes in 26%, and prior acute myocardial infarction in 16%. It is worth noting that there was a higher percentage of patients from the Northeast Region with dyslipidemia (59%) and prior acute myocardial infarction (34%), in addition to higher average age in the region (64 &#177; 12.9 years), as shown in <xref ref-type="table" rid="t4">Table 1</xref>.</p>
          <table-wrap id="t4">
            <label>Table 1</label>
            <caption>
              <title>Demographic, clinical, and treatment characteristics for the total population and by geographic region</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup width="12%">
                <col width="1%"/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
                <tr style="background-color:#76B4CF">
                  <th align="center" valign="middle" colspan="2"/>
                  <th align="center" valign="middle">Total(1553)</th>
                  <th align="center" valign="middle">South(280)</th>
                  <th align="center" valign="middle">Southeast (1008)</th>
                  <th align="center" valign="middle">Northeast (173)</th>
                  <th align="center" valign="middle">North](80)</th>
                  <th align="center" valign="middle">Central-West (12)</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" colspan="2">
                    <bold>Age (years), mean &#177; SD</bold>
                  </td>
                  <td align="center" valign="middle">60.7 &#177; 12.3</td>
                  <td align="center" valign="middle">58.7 &#177; 11</td>
                  <td align="center" valign="middle">60.9 &#177; 12.5</td>
                  <td align="center" valign="middle">64 &#177; 12.9</td>
                  <td align="center" valign="middle">58.9 &#177; 10.9</td>
                  <td align="center" valign="middle">62.4 &#177; 11.7</td>
                  <td align="center" valign="middle">&lt;0.001<xref ref-type="table-fn" rid="TFN8">**</xref></td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>Male sex, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">1129 (73%)</td>
                  <td align="center" valign="middle">206 (73.6%)</td>
                  <td align="center" valign="middle">726 (72%)</td>
                  <td align="center" valign="middle">121 (70%)</td>
                  <td align="center" valign="middle">67 (84%)</td>
                  <td align="center" valign="middle">9 (75%)</td>
                  <td align="center" valign="middle">0.179</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Dyslipidemia, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">670 (43%)</td>
                  <td align="center" valign="middle">112 (40%)</td>
                  <td align="center" valign="middle">418 (41.5%)</td>
                  <td align="center" valign="middle">102 (59%)</td>
                  <td align="center" valign="middle">34 (42.5%)</td>
                  <td align="center" valign="middle">4 (33.3%)</td>
                  <td align="center" valign="middle">0.001</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>Prior AMI, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">255 (16.4%)</td>
                  <td align="center" valign="middle">39 (14%)</td>
                  <td align="center" valign="middle">136 (13.5%)</td>
                  <td align="center" valign="middle">60 (34.7%)</td>
                  <td align="center" valign="middle">18 (22.5%)</td>
                  <td align="center" valign="middle">2 (16.7%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>SAH, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">1.008 (65%)</td>
                  <td align="center" valign="middle">173 (62%)</td>
                  <td align="center" valign="middle">651 (64.6%)</td>
                  <td align="center" valign="middle">120 (70%)</td>
                  <td align="center" valign="middle">56 (70%)</td>
                  <td align="center" valign="middle">8 (66.7%)</td>
                  <td align="center" valign="middle">0.45</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>Angina, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">378 (24.3%)</td>
                  <td align="center" valign="middle">61 (22%)</td>
                  <td align="center" valign="middle">211 (21%)</td>
                  <td align="center" valign="middle">58 (33.5%)</td>
                  <td align="center" valign="middle">44 (55%)</td>
                  <td align="center" valign="middle">4 (33.3%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Prior stroke, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">93 (6%)</td>
                  <td align="center" valign="middle">20 (7.1%)</td>
                  <td align="center" valign="middle">43 (4.3%)</td>
                  <td align="center" valign="middle">15 (9%)</td>
                  <td align="center" valign="middle">15 (19%)</td>
                  <td align="center" valign="middle">0 (0%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>Diabetes, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">404 (26%)</td>
                  <td align="center" valign="middle">68 (24.3%)</td>
                  <td align="center" valign="middle">261 (26%)</td>
                  <td align="center" valign="middle">47 (27.2%)</td>
                  <td align="center" valign="middle">24 (30%)</td>
                  <td align="center" valign="middle">4 (33.3%)</td>
                  <td align="center" valign="middle">0.791</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>CHF, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">81 (5.2%)</td>
                  <td align="center" valign="middle">10 (3.6%)</td>
                  <td align="center" valign="middle">27 (2.7%)</td>
                  <td align="center" valign="middle">37 (21.4%)</td>
                  <td align="center" valign="middle">7 (8.8%)</td>
                  <td align="center" valign="middle">0 (0%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>Prior PCI, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">194 (12.5%)</td>
                  <td align="center" valign="middle">43 (15.4%)</td>
                  <td align="center" valign="middle">108 (10.7%)</td>
                  <td align="center" valign="middle">31 (18%)</td>
                  <td align="center" valign="middle">12 (15%)</td>
                  <td align="center" valign="middle">0 (0%)</td>
                  <td align="center" valign="middle">0.022</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Prior CABG, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">65 (4.2%)</td>
                  <td align="center" valign="middle">11 (4%)</td>
                  <td align="center" valign="middle">34 (3.4%)</td>
                  <td align="center" valign="middle">13 (7.5%)</td>
                  <td align="center" valign="middle">5 (6.2%)</td>
                  <td align="center" valign="middle">2 (16.7%)</td>
                  <td align="center" valign="middle">0.013</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>Obesity, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">459 (29.6%)</td>
                  <td align="center" valign="middle">80 (28.6%)</td>
                  <td align="center" valign="middle">271 (27%)</td>
                  <td align="center" valign="middle">69 (40%)</td>
                  <td align="center" valign="middle">36 (45%)</td>
                  <td align="center" valign="middle">3 (25%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Sedentarism, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">877 (56.5%)</td>
                  <td align="center" valign="middle">185 (66%)</td>
                  <td align="center" valign="middle">519 (51.5%)</td>
                  <td align="center" valign="middle">129 (75%)</td>
                  <td align="center" valign="middle">40 (50%)</td>
                  <td align="center" valign="middle">4 (33.3%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>Peripheral artery disease, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">120 (7.7%)</td>
                  <td align="center" valign="middle">19 (6.8%)</td>
                  <td align="center" valign="middle">61 (6.1%)</td>
                  <td align="center" valign="middle">35 (20.2%)</td>
                  <td align="center" valign="middle">5 (6.2%)</td>
                  <td align="center" valign="middle">0 (0%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Smoking, n (%)</bold>
                  </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"/>
                  <td align="center" valign="middle">&lt;0.001<xref ref-type="table-fn" rid="TFN7">*</xref></td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Current</td>
                  <td align="center" valign="middle">605 (39%)</td>
                  <td align="center" valign="middle">127 (45.4%)</td>
                  <td align="center" valign="middle">406 (40%)</td>
                  <td align="center" valign="middle">42 (24.3%)</td>
                  <td align="center" valign="middle">28 (35%)</td>
                  <td align="center" valign="middle">2 (16.7%)</td>
                  <td align="center" valign="middle"/>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Ex-smoker</td>
                  <td align="center" valign="middle">346 (22%)</td>
                  <td align="center" valign="middle">70 (25%)</td>
                  <td align="center" valign="middle">203 (20%)</td>
                  <td align="center" valign="middle">42 (24.3%)</td>
                  <td align="center" valign="middle">28 (35%)</td>
                  <td align="center" valign="middle">3 (25%)</td>
                  <td align="center" valign="middle"/>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>Treated through SUS, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">1.022 (66%)</td>
                  <td align="center" valign="middle">257 (92%)</td>
                  <td align="center" valign="middle">641 (64%)</td>
                  <td align="center" valign="middle">33 (19.1%)</td>
                  <td align="center" valign="middle">80 (100%)</td>
                  <td align="center" valign="middle">11 (92%)</td>
                  <td align="center" valign="middle">&lt;0.001<xref ref-type="table-fn" rid="TFN7">*</xref></td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN6">
                <p>P value: Fisher's exact test.</p>
              </fn>
              <fn id="TFN7">
                <label>*</label>
                <p>Chi-square test.</p>
              </fn>
              <fn id="TFN8">
                <label>**</label>
                <p>ANOVA.</p>
              </fn>
              <fn id="TFN8a">
                <p>AMI: acute myocardial infarction; CABG: myocardial revascularization; CHF: congestive heart failure; n: number of individuals; PCI: percutaneous coronary intervention; SAH: systemic arterial hypertension; SD: standard deviation; SUS: Brazilian Unified Health System.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec>
          <title>Reperfusion therapy and other evidence-based medications</title>
          <p>The percentages of reperfusion in general and according to geographic region are shown in <xref ref-type="fig" rid="f6">Figure 1</xref>. The overall reperfusion rate was 76.8%, and use of primary angioplasty (58.7%) was most prevalent. The Southeast and South Regions had the highest reperfusion rates (80.5% and 79.3%, respectively). The lowest reperfusion rates were observed in the North and Central-West Regions (47.5% and 50%, respectively), as shown in the <xref ref-type="fig" rid="f5">Central Figure</xref>.</p>
          <fig id="f6">
            <label>Figure 1</label>
            <caption>
              <title>Percentage of reperfusion and types of reperfusion in the total population and by region.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-121-11-e20230863-30863-gf02-en.tif"/></fig>
          <p><xref ref-type="table" rid="t5">Table 2</xref> displays the therapies used at admission for the total population and by region, and <xref ref-type="fig" rid="f7">Figure 2</xref> displays the use of evidence-based therapies at admission and in the follow-up period of up to 1 year. Complete therapy at admission was present in 65.6% of cases in general, with the lowest level in the Central-West Region. There was a reduction throughout the year in the use of all therapies, with a decrease already observed after the thirtieth day, mainly in the use of P2Y12 inhibitor, statin, and ACEI/ARB.</p>
          <table-wrap id="t5">
            <label>Table 2</label>
            <caption>
              <title>Medication use during the admission phase in patients with acute coronary syndrome</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup width="12%">
                <col width="1%"/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
                <tr style="background-color:#76B4CF">
                  <th align="left" valign="middle" colspan="2"/>
                  <th align="center" valign="middle">Total (1553)</th>
                  <th align="center" valign="middle">South (280)</th>
                  <th align="center" valign="middle">Southeast (1008)</th>
                  <th align="center" valign="middle">Northeast (173)</th>
                  <th align="center" valign="middle">North (80)</th>
                  <th align="center" valign="middle">Central-West (12)</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" colspan="2">
                    <bold>ASA, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">1528 (98.4%)</td>
                  <td align="center" valign="middle">275 (98.2%)</td>
                  <td align="center" valign="middle">997 (99%)</td>
                  <td align="center" valign="middle">170 (98.3%)</td>
                  <td align="center" valign="middle">74 (92.5%)</td>
                  <td align="center" valign="middle">12 (100%)</td>
                  <td align="center" valign="middle">0.007</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>P2Y12 inhibitor, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">1522 (98%)</td>
                  <td align="center" valign="middle">273 (97.5%)</td>
                  <td align="center" valign="middle">995 (98.7%)</td>
                  <td align="center" valign="middle">169 (97.7%)</td>
                  <td align="center" valign="middle">77 (96.2%)</td>
                  <td align="center" valign="middle">8 (66.7%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Clopidogrel</td>
                  <td align="center" valign="middle">1384 (89%)</td>
                  <td align="center" valign="middle">242 (86.4%)</td>
                  <td align="center" valign="middle">903 (90%)</td>
                  <td align="center" valign="middle">156 (90%)</td>
                  <td align="center" valign="middle">77 (96.2%)</td>
                  <td align="center" valign="middle">6 (50%)</td>
                  <td align="center" valign="middle">0.001</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Prasugrel</td>
                  <td align="center" valign="middle">14 (1%)</td>
                  <td align="center" valign="middle">0 (0%)</td>
                  <td align="center" valign="middle">6 (0.6%)</td>
                  <td align="center" valign="middle">6 (3.5%)</td>
                  <td align="center" valign="middle">0 (0%)</td>
                  <td align="center" valign="middle">2 (16.7%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Ticagrelor</td>
                  <td align="center" valign="middle">145 (9.3%)</td>
                  <td align="center" valign="middle">35 (12.5%)</td>
                  <td align="center" valign="middle">100 (9.9%)</td>
                  <td align="center" valign="middle">9 (5.2%)</td>
                  <td align="center" valign="middle">0 (0%)</td>
                  <td align="center" valign="middle">1 (8.3%)</td>
                  <td align="center" valign="middle">0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Parenteral anticoagulant, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">1357 (87.4%)</td>
                  <td align="center" valign="middle">221 (78.9%)</td>
                  <td align="center" valign="middle">917 (91%)</td>
                  <td align="center" valign="middle">134 (77.5%)</td>
                  <td align="center" valign="middle">73 (91.2%)</td>
                  <td align="center" valign="middle">12 (100%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Enoxaparin</td>
                  <td align="center" valign="middle">992 (64%)</td>
                  <td align="center" valign="middle">147 (52.5%)</td>
                  <td align="center" valign="middle">650 (64.5%)</td>
                  <td align="center" valign="middle">112 (64.7%)</td>
                  <td align="center" valign="middle">72 (90%)</td>
                  <td align="center" valign="middle">11 (91.7%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Fondaparinux</td>
                  <td align="center" valign="middle">163 (10.5%)</td>
                  <td align="center" valign="middle">0 (0%)</td>
                  <td align="center" valign="middle">154 (15.3%)</td>
                  <td align="center" valign="middle">9 (5.2%)</td>
                  <td align="center" valign="middle">0 (0%)</td>
                  <td align="center" valign="middle">0 (0%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">UFH</td>
                  <td align="center" valign="middle">243 (15.6%)</td>
                  <td align="center" valign="middle">80 (28.6%)</td>
                  <td align="center" valign="middle">145 (14.4%)</td>
                  <td align="center" valign="middle">16 (9.2%)</td>
                  <td align="center" valign="middle">1 (1.2%)</td>
                  <td align="center" valign="middle">1 (8.3%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>GP IIb/IIIa inhibitors, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">277 (17.8%)</td>
                  <td align="center" valign="middle">62 (22%)</td>
                  <td align="center" valign="middle">181 (18%)</td>
                  <td align="center" valign="middle">26 (15%)</td>
                  <td align="center" valign="middle">6 (7.5%)</td>
                  <td align="center" valign="middle">2 (16.7%)</td>
                  <td align="center" valign="middle">0.025</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>ACEI or ARB, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">1149 (74%)</td>
                  <td align="center" valign="middle">221 (78.9%)</td>
                  <td align="center" valign="middle">775 (76.9%)</td>
                  <td align="center" valign="middle">95 (54.9%)</td>
                  <td align="center" valign="middle">51 (63.7%)</td>
                  <td align="center" valign="middle">7 (58.3%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>Statin, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">1436 (92.5%)</td>
                  <td align="center" valign="middle">228 (81.4%)</td>
                  <td align="center" valign="middle">960 (95.2%)</td>
                  <td align="center" valign="middle">165 (95.4%)</td>
                  <td align="center" valign="middle">73 (91.2%)</td>
                  <td align="center" valign="middle">10 (83.3%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr>
                  <td align="left" valign="middle" colspan="2">
                    <bold>Dual antiplatelet therapy, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">1500 (96.6%)</td>
                  <td align="center" valign="middle">268 (95.7%)</td>
                  <td align="center" valign="middle">984 (97.6%)</td>
                  <td align="center" valign="middle">166 (96%)</td>
                  <td align="center" valign="middle">74 (92.5%)</td>
                  <td align="center" valign="middle">8 (66.7%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle" colspan="2">
                    <bold>Complete therapy, n (%)</bold>
                  </td>
                  <td align="center" valign="middle">1018 (65.6%)</td>
                  <td align="center" valign="middle">144 (51.4%)</td>
                  <td align="center" valign="middle">707 (70.1%)</td>
                  <td align="center" valign="middle">109 (63%)</td>
                  <td align="center" valign="middle">53 (66.2%)</td>
                  <td align="center" valign="middle">5 (41.7%)</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN9">
                <p>P value: Fisher's exact test. Dual antiplatelet therapy: aspirin and P2Y12 inhibitor. Complete therapy: dual antiplatelet therapy, parenteral anticoagulant, statin, and beta blocker. ACEI: angiotensin-converting enzyme inhibitor; ARB: angiotensin receptor blocker; ASA: acetylsalicylic acid; GP: glycoprotein; n: number of individuals; UFH: unfractionated heparin.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <fig id="f7">
            <label>Figure 2</label>
            <caption>
              <title>Adherence to evidence-based therapies in up to 1 year of follow-up. ACEI: angiotensin-converting enzyme inhibitor; ARB: angiotensin receptor blocker; ASA: acetylsalicylic acid. * P value &lt; 0.001 for comparison between follow-up and admission. + P value &lt; 0.05 for comparison between follow-up and admission.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-121-11-e20230863-30863-gf03-en.tif"/></fig>
        </sec>
        <sec>
          <title>Clinical outcomes</title>
          <p><xref ref-type="fig" rid="f8">Figure 3</xref> displays the event-free survival curves for the combined outcomes (death, reinfarction, stroke) and individually in the total population and in each region over the 1-year follow-up. The overall combined event rate was 12.5%, reaching the lowest rate in the Northeast Region (5.2%) and the highest rates in the North and Central-West Regions (17.5% and 25%, respectively), as shown in <inline-supplementary-material mimetype="application" mime-subtype="pdf" xlink:href="1678-4170-abc-121-11-e20230863-30863-suppl01-en.pdf">Supplementary Table 1 (Table S1</inline-supplementary-material>).</p>
          <fig id="f8">
            <label>Figure 3</label>
            <caption>
              <title>Survival curves for combined outcomes (death, reinfarction, and stroke) and each individual outcome by region at 1-year follow-up.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-121-11-e20230863-30863-gf04-en.tif"/></fig>
        </sec>
        <sec>
          <title>Reperfusion therapy and predictors of not receiving reperfusion</title>
          <p><inline-supplementary-material mimetype="application" mime-subtype="pdf" xlink:href="1678-4170-abc-121-11-e20230863-30863-suppl02-en.pdf">Supplementary Table 2 (Table S2)</inline-supplementary-material> compares the reperfusion groups and those that did not receive reperfusion therapy. <xref ref-type="table" rid="t6">Table 3</xref> displays the final multivariate model for predictors of not receiving reperfusion therapy. The presence of hypertension (odds ratio [OR] 1.47; 95% confidence interval [CI] 1.11 to 1.96; p &lt; 0.01); prior acute myocardial infarction (OR 1.81; 95% CI 1.32 to 2.48; p &lt; 0.001); and the North (OR 4.65; 95% CI 2.87 to 7.52; p &lt; 0.001), Central-West (OR 4.02; 95% CI 1.26 to 12.7; p &lt; 0.05), and Northeast (OR 1.70; 95% CI 1.17 to 2.46; p &lt; 0.01) Regions were independent predictors of not receiving reperfusion therapy.</p>
          <table-wrap id="t6">
            <label>Table 3</label>
            <caption>
              <title>Final model of independent predictors of not receiving reperfusion therapy</title>
            </caption>
            <table frame="hsides" rules="groups">
              <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 style="background-color:#76B4CF; border-bottom: thin solid; border-color: #000000">
                  <th align="left" valign="middle" colspan="7">Estimated coefficients of the logistic regression model for "Not receiving reperfusion therapy"</th>
                </tr>
                <tr style="background-color:#76B4CF">
                  <th align="left" valign="middle" rowspan="2">Coefficient</th>
                  <th align="center" valign="middle" rowspan="2">Coefficient</th>
                  <th align="center" valign="middle" rowspan="2">Standard deviation</th>
                  <th align="center" valign="middle" rowspan="2">p value</th>
                  <th align="center" valign="middle" rowspan="2">OR</th>
                  <th align="center" valign="middle" colspan="2" style="border-bottom: thin solid; border-color: #000000">OR (95%CI)</th>
                </tr>
                <tr style="background-color:#76B4CF">
                  <th align="center" valign="middle">Lower</th>
                  <th align="center" valign="middle">Upper</th>
                </tr>
              </thead>
              <tbody style="border-bottom: thin solid; border-color: #000000">
                <tr>
                  <td align="left" valign="middle">Intercept</td>
                  <td align="center" valign="middle">-1.551</td>
                  <td align="center" valign="middle">0.195</td>
                  <td align="center" valign="middle">&lt;0.001</td>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                  <td align="center" valign="middle"/>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle">Region(South)</td>
                  <td align="center" valign="middle">0.049</td>
                  <td align="center" valign="middle">0.172</td>
                  <td align="center" valign="middle">0.777</td>
                  <td align="center" valign="middle">1.05</td>
                  <td align="center" valign="middle">0.75</td>
                  <td align="center" valign="middle">1.47</td>
                </tr>
                <tr>
                  <td align="left" valign="middle">Region (Northeast)</td>
                  <td align="center" valign="middle">0.533</td>
                  <td align="center" valign="middle">0.189</td>
                  <td align="center" valign="middle">
                    <bold>0.005</bold>
                  </td>
                  <td align="center" valign="middle">1.704</td>
                  <td align="center" valign="middle">1.176</td>
                  <td align="center" valign="middle">2.469</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle">Region(North)</td>
                  <td align="center" valign="middle">1.538</td>
                  <td align="center" valign="middle">0.245</td>
                  <td align="center" valign="middle">&lt;<bold>0.001</bold></td>
                  <td align="center" valign="middle">4.653</td>
                  <td align="center" valign="middle">2.879</td>
                  <td align="center" valign="middle">7.521</td>
                </tr>
                <tr>
                  <td align="left" valign="middle">Region (Central-West)</td>
                  <td align="center" valign="middle">1.392</td>
                  <td align="center" valign="middle">0.59</td>
                  <td align="center" valign="middle">
                    <bold>0.018</bold>
                  </td>
                  <td align="center" valign="middle">4.024</td>
                  <td align="center" valign="middle">1.267</td>
                  <td align="center" valign="middle">12.787</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle">Sex(Male)</td>
                  <td align="center" valign="middle">-0.203</td>
                  <td align="center" valign="middle">0.139</td>
                  <td align="center" valign="middle">0.146</td>
                  <td align="center" valign="middle">0.816</td>
                  <td align="center" valign="middle">0.621</td>
                  <td align="center" valign="middle">1.073</td>
                </tr>
                <tr>
                  <td align="left" valign="middle">Dyslipidemia (Yes)</td>
                  <td align="center" valign="middle">-0.224</td>
                  <td align="center" valign="middle">0.135</td>
                  <td align="center" valign="middle">0.096</td>
                  <td align="center" valign="middle">0.799</td>
                  <td align="center" valign="middle">0.614</td>
                  <td align="center" valign="middle">1.04</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle">Prior AMI (Yes)</td>
                  <td align="center" valign="middle">0.594</td>
                  <td align="center" valign="middle">0.162</td>
                  <td align="center" valign="middle">&lt;<bold>0.001</bold></td>
                  <td align="center" valign="middle">1.812</td>
                  <td align="center" valign="middle">1.32</td>
                  <td align="center" valign="middle">2.487</td>
                </tr>
                <tr>
                  <td align="left" valign="middle">SAH(Yes)</td>
                  <td align="center" valign="middle">0.391</td>
                  <td align="center" valign="middle">0.144</td>
                  <td align="center" valign="middle">
                    <bold>0.007</bold>
                  </td>
                  <td align="center" valign="middle">1.478</td>
                  <td align="center" valign="middle">1.113</td>
                  <td align="center" valign="middle">1.962</td>
                </tr>
                <tr style="background-color:#C7DFEC">
                  <td align="left" valign="middle">Sedentarism (Yes)</td>
                  <td align="center" valign="middle">0.199</td>
                  <td align="center" valign="middle">0.13</td>
                  <td align="center" valign="middle">0.126</td>
                  <td align="center" valign="middle">1.22</td>
                  <td align="center" valign="middle">0.945</td>
                  <td align="center" valign="middle">1.575</td>
                </tr>
                <tr>
                  <td align="left" valign="middle">Smoking (Current)</td>
                  <td align="center" valign="middle">-0.245</td>
                  <td align="center" valign="middle">0.134</td>
                  <td align="center" valign="middle">0.069</td>
                  <td align="center" valign="middle">0.783</td>
                  <td align="center" valign="middle">0.602</td>
                  <td align="center" valign="middle">1.019</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN10">
                <p>AMI: acute myocardial infarction; CI: confidence interval; OR: odds ratio; SAH: systemic arterial hypertension.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <p>The ACCEPT Registry is the largest Brazilian ACS registry to date. In this analysis, it was possible to outline the characteristics, treatment, and prognosis of patients with STEMI who were eligible for reperfusion therapy in a population that includes all 5 regions of Brazil. It was also possible to verify the overall and regional reperfusion rate and prognosis regarding the occurrence of major adverse cardiovascular events (death, reinfarction, stroke) in up to 1 year of follow-up, in addition to evaluating the independent predictors of not receiving reperfusion. These data can be useful for better defining health policies to achieve better care for patients with STEMI in diverse regions.<sup><xref ref-type="bibr" rid="B12">12</xref>-<xref ref-type="bibr" rid="B14">14</xref></sup></p>
        <sec>
          <title>Reperfusion rates</title>
          <p>Reperfusion was performed in 76.3% of cases, but it ranged from 47.5% in the North to 80.5% in the Southeast. While the South, Southeast, and Northeast Regions presented rates comparable to those of registries from North America<sup><xref ref-type="bibr" rid="B15">15</xref></sup> and Western Europe,<sup><xref ref-type="bibr" rid="B16">16</xref></sup> the rates in the Central-West and North were compatible with those from countries in Eastern Europe and the Middle East.<sup><xref ref-type="bibr" rid="B16">16</xref></sup></p>
          <p>Brazil is a continent-sized country with heterogeneous aspects in terms of hospital structure and care logistics. Reperfusion rates are directly associated with the creation of care networks for patients with ACS and the availability of tertiary care services in the location with the capacity for intervention around the clock. These data show an imminent need for focused attention in these regions to understand the bottlenecks associated with low reperfusion rates that may not only be in the field of service availability, but also of resources for performing and interpreting ECGs, clinical diagnosis, availability of thrombolytic medication, and transfer routes to tertiary centers, in addition to transportation logistics. Brazilian experiences have already been published with the implementation of care networks for STEMI with positive results, showing that integrated actions for implementing routines and technical training are capable of improving care for this population.<sup><xref ref-type="bibr" rid="B17">17</xref>,<xref ref-type="bibr" rid="B18">18</xref></sup></p>
        </sec>
        <sec>
          <title>Adherence to evidence-based therapies</title>
          <p>Another noteworthy parameter in the care of patients with STEMI was the use of therapies that are classically related to better outcomes in the medium- and long-term follow-up of patients. We observed that, upon admission, a considerable percentage of patients were adequately treated with the use of dual antiplatelet therapy, statin, beta blocker, and ACEI/ARB; however, this percentage gradually decreased in the 30-day follow-up and especially in the 6-month follow-up, which may be related to lesser emphasis on the importance of maintaining these medications in outpatient follow-up at the secondary care level or even low adherence or difficulties in acquiring/accessing these medications. Protocols and training are more prevalent for hospital care. Given this finding, we believe in the importance of actions to ensure that these medications are maintained during outpatient follow-up in order to avoid recurrent events.</p>
        </sec>
        <sec>
          <title>Prognosis</title>
          <p>The overall event rate was 12.5% in the 1-year follow-up. It was higher in the Central-West region, with 25% mortality in 1 year. The highest rates were found in the North and Central-West Regions, which had the lowest rates of reperfusion therapy and use of evidence-based therapies. These findings are potentially related to the greater number of outcomes and worse prognosis in these regions. A study in the city of Salvador, Bahia found an event rate of 15% in 30 days,<sup><xref ref-type="bibr" rid="B18">18</xref></sup> and a study in the Brazilian state of Sergipe<sup><xref ref-type="bibr" rid="B19">19</xref></sup> found a rate of 12.8% in 30 days. European data have shown in-hospital mortality rates ranging from 3% to 10%,<sup><xref ref-type="bibr" rid="B16">16</xref></sup> and the United States registry showed an in-hospital mortality rate of 7.9%.<sup><xref ref-type="bibr" rid="B15">15</xref></sup></p>
          <p>It was noteworthy that the Northeast Region had the lowest rates of combined events (5.2%), even though it had a lower reperfusion rate than the South and Southeast Regions. This fact may be related to other factors, such as the type of centers involved in the Northeast Region, where supplementary network care centers prevailed, and a lower representation of SUS centers, with greater loss to follow-up in this region compared to the South and Southeast (4% versus 30%).</p>
        </sec>
        <sec>
          <title>Predictors of not using reperfusion therapy</title>
          <p>Immediate reperfusion is a fundamental pillar in the treatment of STEMI, and it should not be delayed in patients presenting within the 12-hour window of symptom onset, whether with the use of thrombolytic therapy or mechanical reperfusion via primary angioplasty. In the ACCEPT Registry, the most commonly used form of reperfusion was primary angioplasty, which may be related to the nature of the participating centers, which were, to a certain extent, local or regional reference centers for cardiology care. It is important to understand the predictors of not using reperfusion therapy as a guide for actions and the creation of myocardial infarction care networks.</p>
          <p>It was possible to verify that the North, Central-West, and Northeast Regions were independently related to the possibility of not receiving reperfusion therapy. Specific policies for the creation of networks to care for patients with ACS are urgently needed in these regions, in order to narrow the gap and differences in relation to the South and Southeast. In addition to the geographic issue, history of prior infarction and systemic arterial hypertension were also related to the chances of not receiving reperfusion therapy. Previous infarction could be related to ECG changes that can confound and complicate the interpretation as repolarization changes or inactive zones. On the other hand, the presence of uncontrolled hypertension may, for example, lead to a greater concern in initiating thrombolytic therapy in centers that do not have 24/7 hemodynamics or with teams that are less experienced in ACS care. Data from the United States,<sup><xref ref-type="bibr" rid="B15">15</xref></sup> a continent-sized country like Brazil, also showed an independent relationship between geographic region and the chances of not receiving reperfusion therapy. Prior infarction and hypertension were also independent predictors in the United States.</p>
        </sec>
        <sec>
          <title>Strengths and limitations</title>
          <p>Our study's strengths include the facts that it covers the 5 regions of Brazil and that it is the registry study with the largest number of patients in the country to date, in addition to the 1-year follow-up after the event.</p>
          <p>Our study has some limitations. We underscore that, although we have representation from all regions, it was concentrated in the Southeast Region, and the majority of the centers were located in capital cities and hospitals with the capacity to engage in a registry with clinical data collection, which to a certain extent selected centers with better technical capacity; the reality may thus be different in less experienced centers. As highlighted, the loss of follow-up in the Northeast Region may have contributed to a certain degree of underreporting of events in the region. The fact that there was no adjudication of events can also be interpreted as a limitation. However, the use of the outcome as interpreted by the investigators offers a notion that is closer to routine and real life.</p>
          <p>The ACCEPT Registry finalized its collection period in 2014, and its data provided an opportunity to access important information regarding acute myocardial infarction care in Brazil. However, even in a national registry supported by the Brazilian Society of Cardiology, some regions such as the North and Central-West were underrepresented. New national registries with a broader scope, encompassing not only capital cities, but also locations in the interior and more distant corners of the country including primary and secondary care hospitals, in addition to tertiary care, will be important for even more productive data. The data presented here will be essential for these future comparisons. With the development of direct data collection from electronic medical records and big data analysis, this task can be facilitated to a certain extent.</p>
        </sec>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusion</title>
        <p>In the 1-year follow-up of the ACCEPT Registry, it was possible to determine the reperfusion rate in STEMI, adherence to the main medications, and prognosis. A wide variation was observed between regions regarding adherence to best practices. The following were independent predictors of non-reperfusion: belonging to the North, Central-West or Northeast Regions; having hypertension; and previous infarction.</p>
      </sec>
    </body>
    <back>
      <fn-group>
        <fn fn-type="supported-by" id="fn4">
          <label>Sources of funding</label>
          <p>This study was partially funded by Sociedade Brasileira de Cardiologia.</p>
        </fn>
        <fn fn-type="other" id="fn5">
          <label>Study association</label>
          <p>This article is part of the thesis for the postgraduate course in clinical research by Luiz Eduardo Fonteles Ritt, from Brazilian Clinical Research Institute (BCRI).</p>
        </fn>
        <fn fn-type="other" id="fn6">
          <label>Ethics approval and consent to participate</label>
          <p>This study was approved by the Ethics Committee of the Hospital do Cora&#231;&#227;o - HCor under the protocol number 117/2010. 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>
      <app-group>
        <app id="app2">
          <label>*Supplemental Materials</label>
          <p>For additional information, please <ext-link ext-link-type="uri" xlink:href="http://abccardiol.org/supplementary-material/2024/12111/2023-0863_AO_Material-Suplementar.pdf">click here</ext-link>.</p>
        </app>
      </app-group>
    </back>
  </sub-article>
</article>
