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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">n8WM3ykvQ8PyJq5BdDfYzgd</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S0066-782X2021001100426</article-id>
      <article-id pub-id-type="publisher-id">abc.20190873</article-id>
      <article-id pub-id-type="doi">10.36660/abc.20190873</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigo Original</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Diagn&#243;stico de Fibrila&#231;&#227;o Atrial na Comunidade Utilizando Eletrocardiograma e Autorrelato: An&#225;lise Transversal do ELSA-Brasil</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-3212-8466</contrib-id>
          <name>
            <surname>Santos</surname>
            <given-names>Itamar S.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lotufo</surname>
            <given-names>Paulo A.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-7317-1367</contrib-id>
          <name>
            <surname>Brant</surname>
            <given-names>Luisa</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-6646-1163</contrib-id>
          <name>
            <surname>Pinto</surname>
            <given-names>Marcelo M.</given-names>
            <suffix>Filho</suffix>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Pereira</surname>
            <given-names>Alexandre da Costa</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>4</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Barreto</surname>
            <given-names>Sandhi Maria</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2740-0042</contrib-id>
          <name>
            <surname>Ribeiro</surname>
            <given-names>Antonio L.</given-names>
          </name>
          <xref ref-type="aff" rid="aff6">
            <sup>6</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Thomas</surname>
            <given-names>G Neil</given-names>
          </name>
          <xref ref-type="aff" rid="aff7">
            <sup>7</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lip</surname>
            <given-names>Gregory Y. H.</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff9">
            <sup>9</sup>
          </xref>
          <xref ref-type="aff" rid="aff10">
            <sup>10</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bensenor</surname>
            <given-names>Isabela M.</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Universidade de S&#227;o Paulo</institution>
          <institution content-type="orgdiv1">Hospital Universit&#225;rio</institution>
          <institution content-type="orgdiv2">Centro de Pesquisa Cl&#237;nica e Epidemiol&#243;gica</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 Universit&#225;rio da Universidade de S&#227;o Paulo, Centro de Pesquisa Cl&#237;nica e Epidemiol&#243;gica, S&#227;o Paulo, SP - Brasil</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution content-type="orgname">Universidade Federal de Minas Gerais</institution>
          <institution content-type="orgdiv1">Faculdade de Medicina</institution>
          <institution content-type="orgdiv2">Departamento de Cl&#237;nica M&#233;dica</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 Medicina da Universidade Federal de Minas Gerais, Departamento de Cl&#237;nica M&#233;dica, Belo Horizonte, MG - Brasil</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution content-type="orgname">Universidade Federal de Minas Gerais</institution>
          <institution content-type="orgdiv1">Faculdade de Medicina</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 Medicina da Universidade Federal de Minas Gerais - Programa de P&#243;s-Gradua&#231;&#227;o em Infectologia e Medicina Tropical, Belo Horizonte, MG - Brasil</institution>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution content-type="orgname">Faculdade de Medicina da Universidade de S&#227;o Paulo</institution>
          <institution content-type="orgdiv1">Hospital das Cl&#237;nicas</institution>
          <institution content-type="orgdiv2">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">Instituto do Cora&#231;&#227;o do Hospital das Cl&#237;nicas da Faculdade de Medicina da Universidade de S&#227;o Paulo - Laborat&#243;rio de Gen&#233;tica e Cardiologia Molecular, S&#227;o Paulo, SP - Brasil</institution>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution content-type="orgname">Universidade Federal 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">Universidade Federal de Minas Gerais, Belo Horizonte, MG - Brasil</institution>
        </aff>
        <aff id="aff6">
          <label>6</label>
          <institution content-type="orgname">UFMG</institution>
          <institution content-type="orgdiv1">Hospital das Cl&#237;nicas</institution>
          <institution content-type="orgdiv2">Centro de Telessa&#250;de</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">Universidade Federal de Minas Gerais - Centro de Telessa&#250;de - Hospital das Cl&#237;nicas &#8211; UFMG, Belo Horizonte, MG - Brasil</institution>
        </aff>
        <aff id="aff7">
          <label>7</label>
          <institution content-type="orgname">University of Birmingham College of Medical and Dental Sciences</institution>
          <institution content-type="orgdiv1">Institute of Applied Health Research</institution>
          <addr-line>
            <named-content content-type="city">Birmingham</named-content>
          </addr-line>
          <country country="GB">Reino Unido da Gr&#227;-Bretanha</country>
          <institution content-type="original">University of Birmingham College of Medical and Dental Sciences - Institute of Applied Health Research, Birmingham - Reino Unido da Gr&#227;-Bretanha</institution>
        </aff>
        <aff id="aff8">
          <label>8</label>
          <institution content-type="orgname">University of Liverpool</institution>
          <institution content-type="orgdiv1">Liverpool Centre for Cardiovascular Science</institution>
          <addr-line>
            <named-content content-type="city">Liverpool</named-content>
          </addr-line>
          <country country="GB">Reino Unido da Gr&#227;-Bretanha</country>
          <institution content-type="original">University of Liverpool - Liverpool Centre for Cardiovascular Science, Liverpool, Merseyside - Reino Unido da Gr&#227;-Bretanha</institution>
        </aff>
        <aff id="aff9">
          <label>9</label>
          <institution content-type="orgname">Liverpool Heart &amp; Chest Hospital</institution>
          <addr-line>
            <named-content content-type="city">Liverpool</named-content>
          </addr-line>
          <country country="GB">Reino Unido da Gr&#227;-Bretanha</country>
          <institution content-type="original">Liverpool Heart &amp; Chest Hospital, Liverpool - Reino Unido da Gr&#227;-Bretanha</institution>
        </aff>
        <aff id="aff10">
          <label>10</label>
          <institution content-type="orgname">Aalborg Universitet</institution>
          <institution content-type="orgdiv1">Aalborg Thrombosis Research Unit</institution>
          <addr-line>
            <named-content content-type="city">Aalborg</named-content>
          </addr-line>
          <country country="DK">Dinamarca</country>
          <institution content-type="original">Aalborg Universitet - Aalborg Thrombosis Research Unit, Aalborg - Dinamarca</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><bold>Correspond&#234;ncia: Itamar S. Santos</bold> &#8226; Universidade de S&#227;o Paulo &#8211; Av. Prof. Lineu Prestes, 2565. CEP <postal-code>05508-000</postal-code>, S&#227;o Paulo, SP &#8211; Brasil. E-mail: <email>itamarss@usp.br</email></corresp>
        <fn fn-type="con">
          <p>
            <bold>Contribui&#231;&#227;o dos autores</bold>
          </p>
          <p>Concep&#231;&#227;o e desenho da pesquisa: Santos IS, Lotufo P A, Barreto SM, Ribeiro AL, Bensenor IM; Obten&#231;&#227;o de dados: Lotufo PA, Brant L, Pinto-Filho MM, Barreto SM, Ribeiro AL, Bensenor I M; An&#225;lise e interpreta&#231;&#227;o dos dados: Santos I S, Lotufo P A, Brant L, Pinto-Filho MM, Pereira AC, Barreto SM, Ribeiro AL, Thomas GN, Lip GYH, Bensenor I M; An&#225;lise estat&#237;stica: Santos IS; Obten&#231;&#227;o de financiamento: Lotufo PA, Barreto SM, Ribeiro AL, Bensenor I M; Reda&#231;&#227;o do manuscrito: Santos IS, Bensenor I M; Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante: Lotufo PA, Brant L, Pinto-Filho MM, Pereira AC, Barreto SM, Ribeiro AL, Thomas GN, Lip GYH.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potencial conflito de interesse</bold>
          </p>
          <p>N&#227;o h&#225; conflito com o presente artigo</p>
        </fn>
      </author-notes>
      <pub-date publication-format="electronic" date-type="pub">
        <day>20</day>
        <month>09</month>
        <year>2021</year>
      </pub-date>
      <pub-date publication-format="electronic" date-type="collection">
        <month>09</month>
        <year>2021</year>
      </pub-date>
      <volume>117</volume>
      <issue>3</issue>
      <fpage>426</fpage>
      <lpage>434</lpage>
      <history>
        <date date-type="received">
          <day>02</day>
          <month>12</month>
          <year>2019</year>
        </date>
        <date date-type="rev-recd">
          <day>15</day>
          <month>07</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>16</day>
          <month>08</month>
          <year>2020</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xml:lang="en" xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Resumo</title>
        <sec>
          <title>Fundamento:</title>
          <p>A fibrila&#231;&#227;o ou flutter atrial (FFA) &#233; a arritmia card&#237;aca sustentada mais comum. Existem poucos dados sobre a epidemiologia da FFA na Am&#233;rica do Sul.</p>
        </sec>
        <sec>
          <title>Objetivo:</title>
          <p>O presente estudo procurou descrever a epidemiologia cl&#237;nica da FFA e o uso de anticoagulantes na avalia&#231;&#227;o da linha de base do Estudo Longitudinal da Sa&#250;de do Adulto (ELSA-Brasil).</p>
        </sec>
        <sec>
          <title>M&#233;todos:</title>
          <p>Foram analisados dados de 13.260 participantes do ELSA-Brasil. A FFA foi definida pelo eletrocardiograma ou por autorrelato. Modelos de regress&#227;o log&#237;stica foram constru&#237;dos para analisar fatores associados &#224; FFA. Este estudo tamb&#233;m analisou se idade e sexo estavam associados ao uso de anticoagulantes para evitar acidente vascular cerebral. O n&#237;vel de signific&#226;ncia foi de 5%.</p>
        </sec>
        <sec>
          <title>Resultados:</title>
          <p>A idade mediana foi de 51 anos, e 7.213 (54,4%) participantes eram mulheres. A FFA foi detectada em 333 (2,5%) participantes. O aumento da idade (raz&#227;o de chances [RC]:1,05; intervalo de confian&#231;a de 95% [IC95%]: 1,04-1,07), hipertens&#227;o (RC:1,44; IC95%:1,14-1,81) coronariopatia (RC: 5,11; IC95%:3,85&#8211;6,79), insufici&#234;ncia card&#237;aca (RC:7,37; IC95%:5,00&#8211;10,87) e febre reum&#225;tica (RC:3,38; IC95%:2,28&#8211;5,02) foram associadas &#224; FFA. Dos 185 participantes com FFA e pontua&#231;&#227;o no CHA<sub>2</sub>DS<sub>2</sub>-VASc&#8805;2, apenas 20 (10,8%) usavam anticoagulantes (50,0% entre aqueles com FFA no eletrocardiograma de linha de base). O uso de anticoagulantes nesse grupo foi associado a maior idade (1,8% vs 17,7% naqueles com idade &#8804; 54 e &#8805; 65 anos, respectivamente; p=0,013). Observou-se uma tend&#234;ncia ao menor uso de anticoagulantes em mulheres (7,1% vs. 16,4% em mulheres e homens, respectivamente; p=0,055).</p>
        </sec>
        <sec>
          <title>Conclus&#245;es:</title>
          <p>No recrutamento do ELSA-Brasil, 2,5% dos participantes tinham FFA. O baixo uso de anticoagulantes era comum, o que representa um desafio para os cuidados de sa&#250;de nesse cen&#225;rio.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="pt">
        <title>Palavras-chave:</title>
        <kwd>Fibrila&#231;&#227;o Atrial</kwd>
        <kwd>Epidemiologia</kwd>
        <kwd>Eletrocardiografia/m&#233;todos</kwd>
        <kwd>Anticoagulantes</kwd>
        <kwd>Estudo Longitudinal</kwd>
        <kwd>Idoso</kwd>
        <kwd>Acidente Vascular Cerebral</kwd>
        <kwd>Embolia</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source>Minist&#233;rio da Sa&#250;de do Brasil (Ci&#234;ncia e Departamento de Tecnologia)</funding-source>
          <funding-source>Minist&#233;rio da Ci&#234;ncia e Tecnologia do Brasil (Financiadora de Estudos e Projetos e Conselho Nacional de Pesquisa do CNPq)</funding-source>
          <award-id>01 06 0010,00 RS</award-id>
          <award-id>01 06 0212,00 BA</award-id>
          <award-id>01 06 0300,00 ES</award-id>
          <award-id>01 06 0278,00 MG</award-id>
          <award-id>01 06 0115,00 SP</award-id>
          <award-id>01 06 0071,00 RJ</award-id>
        </award-group>
        <funding-statement>O presente estudo foi financiado pelo Minist&#233;rio da Sa&#250;de do Brasil (Ci&#234;ncia e Departamento de Tecnologia) e o Minist&#233;rio da Ci&#234;ncia e Tecnologia do Brasil (Financiadora de Estudos e Projetos e Conselho Nacional de Pesquisa do CNPq) (bolsas 01 06 0010,00 RS, 01 06 0212,00 BA, 01 06 0300,00 ES, 01 06 0278,00 MG, 01 06 0115,00 SP, 01 06 0071,00 RJ</funding-statement>
      </funding-group>
      <counts>
        <fig-count count="0"/>
        <table-count count="8"/>
        <equation-count count="0"/>
        <ref-count count="38"/>
        <page-count count="9"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>A fibrila&#231;&#227;o atrial &#233; a arritmia card&#237;aca sustentada mais comum, com um risco vital&#237;cio aproximado de 25%<xref ref-type="bibr" rid="B1"><sup>1</sup></xref> e um total de 33,3 milh&#245;es de casos globalmente.<xref ref-type="bibr" rid="B2"><sup>2</sup></xref> Em S&#227;o Paulo, Brasil, um estudo populacional<xref ref-type="bibr" rid="B3"><sup>3</sup></xref> identificou que 3,2% dos homens e 2,0% das mulheres com idade igual ou superior a 65 anos tinham fibrila&#231;&#227;o atrial. Outro grande banco de dados de pacientes em aten&#231;&#227;o prim&#225;ria com idade igual ou superior a 5 anos (71% com idade &#8805; 40 anos), em Minas Gerais, no Brasil,<xref ref-type="bibr" rid="B4"><sup>4</sup></xref> identificou que 2,4% dos homens e 1,3% das mulheres tinham fibrila&#231;&#227;o atrial. Fatores de risco para fibrila&#231;&#227;o ou flutter atrial incluem idade, hipertens&#227;o, diabetes, tabagismo, obesidade, insufici&#234;ncia card&#237;aca, doen&#231;a valvar, e infarto do mioc&#225;rdio.<xref ref-type="bibr" rid="B5"><sup>5</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B7"><sup>7</sup></xref></p>
      <p>&#201; recomendada a terapia de preven&#231;&#227;o de tromboembolismo baseada em risco (incluindo acidente vascular cerebral) para pacientes com fibrila&#231;&#227;o ou flutter atrial (FFA).<xref ref-type="bibr" rid="B8"><sup>8</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B9"><sup>9</sup></xref> As pontua&#231;&#245;es CHA<sub>2</sub>DS<sub>2</sub>-VASc<xref ref-type="bibr" rid="B10"><sup>10</sup></xref> atualmente s&#227;o a principal estrat&#233;gia para avaliar o risco de tromboembolismo nesses indiv&#237;duos.<xref ref-type="bibr" rid="B11"><sup>11</sup></xref> A terapia antitromb&#243;tica oral &#233; recomendada para pacientes com uma pontua&#231;&#227;o CHA<sub>2</sub>DS<sub>2</sub>-VASc &#8805; 2.<xref ref-type="bibr" rid="B9"><sup>9</sup></xref></p>
      <p>A terapia anticoagulante oral, entretanto, ainda representa um desafio para a pr&#225;tica cl&#237;nica,<xref ref-type="bibr" rid="B12"><sup>12</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B13"><sup>13</sup></xref> e uma propor&#231;&#227;o significativa da carga de morbidade da FFA ainda est&#225; associada ao acidente vascular cerebral incidente,<xref ref-type="bibr" rid="B14"><sup>14</sup></xref> especialmente em mulheres.<xref ref-type="bibr" rid="B15"><sup>15</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B16"><sup>16</sup></xref> Isso &#233; ainda mais importante no Brasil, onde, embora os &#237;ndices de incidentes de acidente vascular cerebral padronizada para a idade do pa&#237;s tenham ca&#237;dos nos &#250;ltimos anos,<xref ref-type="bibr" rid="B17"><sup>17</sup></xref> a mortalidade por acidente vascular cerebral &#233; ainda alta, comparada a outros pa&#237;ses sul-americanos, e tem um impacto maior nos estados menos desenvolvidos do pa&#237;s.<xref ref-type="bibr" rid="B17"><sup>17</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B18"><sup>18</sup></xref></p>
      <p>O estudo Longitudinal de Sa&#250;de do Adulto (ELSA-Brasil) &#233; uma grande coorte multic&#234;ntrica de indiv&#237;duos entre 35 e 74 anos de seis cidades brasileiras, com o objetivo de estudar a incid&#234;ncia e os fatores associados &#224;s doen&#231;as cardiovasculares e ao diabetes. O objetivo do presente estudo &#233; descrever a frequ&#234;ncia da FFA na linha de base do ELSA-Brasil e o uso de medicamentos de preven&#231;&#227;o de acidente vascular cerebral nos participantes com FFA e com uma pontua&#231;&#227;o CHA<sub>2</sub>DS<sub>2</sub>-VASc &#8805; 2.</p>
    </sec>
    <sec sec-type="methods">
      <title>M&#233;todos</title>
      <sec>
        <title>Configura&#231;&#227;o e desenho do estudo</title>
        <p>O desenho do ELSA-Brasil<xref ref-type="bibr" rid="B19"><sup>19</sup></xref> e o perfil de coorte<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> est&#227;o detalhados em outro local. Resumidamente, o ELSA-Brasil &#233; um estudo coorte de 15.105 funcion&#225;rios p&#250;blicos de seis cidades brasileiras (S&#227;o Paulo, Belo Horizonte, Porto Alegre, Salvador, Rio de Janeiro, e Vit&#243;ria). As avalia&#231;&#245;es de linha de base foram realizadas entre agosto de 2008 e dezembro de 2010 e inclu&#237;ram entrevistas presenciais realizadas por pessoal treinado, utilizando exames cl&#237;nicos, laboratoriais e de imagem. Desde a linha de base, todos os participantes receberam um contato telefone anual para acompanhamento. Quatro anos ap&#243;s o recrutamento (2012-2014), todos os participantes foram convidados a passar por uma reavalia&#231;&#227;o local, que incluiu question&#225;rios e avalia&#231;&#245;es cl&#237;nicas e laboratoriais. Essa reavalia&#231;&#227;o teve a presen&#231;a de 14.014 (92,8%) participantes. O termo de consentimento informado foi obtido de todos os participantes. O protocolo do estudo est&#225; de acordo com a Resolu&#231;&#227;o N&#186; 466/2012 do Conselho Nacional de Sa&#250;de e foi aprovado pelo Comit&#234; de An&#225;lise Institucional de cada centro participante.</p>
      </sec>
      <sec>
        <title>Diagn&#243;stico da fibrila&#231;&#227;o ou flutter atrial</title>
        <p>Os m&#233;todos de registro dos tra&#231;ados de eletrocardiogramas (ECG) no ELSA-Brasil est&#227;o detalhados em outro artigo.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> O eletrocardiograma na linha de base foi realizado em cada centro, utilizando-se um dispositivo Burdick Atria 6100, calibrado a 10 mm/mV e uma velocidade de 25 mm/segundo. Os registros foram transmitidos ao centro de leitura no Centro de Investiga&#231;&#227;o em Minas Gerais. As an&#225;lises seguiram o sistema de Glasgow,<xref ref-type="bibr" rid="B22"><sup>22</sup></xref> e foram codificadas de acordo com o Minnesota Coding System. C&#243;digos selecionados (incluindo FFA) foram analisados manualmente por uma equipe treinada. Al&#233;m disso, durante a reavalia&#231;&#227;o local realizada em 2012-2014, a seguinte pergunta foi feita aos participantes: <italic>&#8220;Algum m&#233;dico j&#225; disse que voc&#234; tem/tinha fibrila&#231;&#227;o atrial?&#8221;</italic> Os participantes que responderam &#8220;sim&#8221; a essa pergunta tamb&#233;m tiveram que responder <italic>&#8220;Quantos anos voc&#234; tinha a primeira vez que um m&#233;dico disse que voc&#234; tem/tinha fibrila&#231;&#227;o atrial?&#8221;</italic></p>
        <p>O presente estudo definiu o diagn&#243;stico de FFA na linha de base se o participante (a) tivesse um registro de eletrocardiograma com FFA na avalia&#231;&#227;o de linha de base do ELSA-Brasil (n=48) ou (b) indicasse que tinha tido um diagn&#243;stico de fibrila&#231;&#227;o atrial numa idade inferior &#224; sua, no momento do recrutamento para o ELSA-Brasil (n=285). A maioria das an&#225;lises s&#227;o apresentadas para todos os casos de FFA e de acordo com cada crit&#233;rio de defini&#231;&#227;o.</p>
      </sec>
      <sec>
        <title>Amostra do estudo</title>
        <p>Este estudo incluiu participantes do ELSA-Brasil para os quais o diagn&#243;stico de FFA na linha de base poderia ser avaliado. Dos 15.105 participantes do ELSA-Brasil, 663 (4,4%) foram exclu&#237;dos por n&#227;o terem uma leitura v&#225;lida de eletrocardiograma na linha de base, nem uma resposta v&#225;lida sobre FFA durante a reavalia&#231;&#227;o local de 2012-2014, e 1.182 (7,8%) foram exclu&#237;dos porque tinham uma leitura v&#225;lida de eletrocardiograma na linha de base sem FFA, mas n&#227;o tinham uma resposta v&#225;lida sobre FFA na reavalia&#231;&#227;o local de 2012-2014 (prejudicando a avalia&#231;&#227;o de FFA parox&#237;stica). Portanto, nossa amostra principal consistiu em 13.260 (87,8%) participantes.</p>
      </sec>
      <sec>
        <title>Outras vari&#225;veis</title>
        <p>Idade, sexo, ra&#231;a, grau de escolaridade, renda familiar mensal, e tabagismo foram autorrelatados e estratificados adequadamente. A renda mensal foi convertida em d&#243;lares americanos (utilizando uma taxa de c&#226;mbio de BRL 2,00=USD 1,00, com base na taxa de c&#226;mbio na linha de base). A ra&#231;a foi definida, conforme utilizada no Censo Nacional Brasileiro, ou seja, preta, parda, branca, amarela ou ind&#237;gena. As medi&#231;&#245;es antropom&#233;tricas no ELSA-Brasil foram avaliadas utilizando t&#233;cnicas padronizadas,<xref ref-type="bibr" rid="B23"><sup>23</sup></xref> e o &#237;ndice de massa corporal (IMC) foi calculado dividindo-se o pelo pela altura ao quadrado. O IMC foi categorizado como normal (&lt; 25 kg/m<sup>2</sup>), sobrepeso (&#8805; 25 kg/m<sup>2</sup> e &lt; 30 kg/m<sup>2</sup>), e obesidade (&#8805; 30 kg/m<sup>2</sup>). Hipertens&#227;o foi definida pelo relato de uso de medicamento anti-hipertensivos, press&#227;o arterial sist&#243;lica &#8805; 140 mmHg, ou press&#227;o arterial diast&#243;lica &#8805; 90 mmHg no momento da avalia&#231;&#227;o de linha de base do ELSA-Brasil. Diabetes foi definido pelo hist&#243;rico m&#233;dico de diabetes mellitus, relato de uso de medicamentos para tratar diabetes mellitus, glicemia em jejum &#8805; 126 mg/dl, n&#237;veis de HbA1c &#8805; 6,5%, ou um teste oral de toler&#226;ncia &#224; glicose de 2 horas &#8805; 200 mg/dl. Dislipidemia foi definida pelo relato do uso de tratamento de redu&#231;&#227;o lip&#237;dica ou um n&#237;vel de colesterol LDL &#8805; 130 mg/dl. Obesidade abdominal foi definida como uma circunfer&#234;ncia &gt; 88 cm em mulheres e 102 cm em homens. Diagn&#243;sticos m&#233;dicos anteriores de insufici&#234;ncia card&#237;aca, acidente vascular cerebral, febre reum&#225;tica, e evento tromboemb&#243;lico foram avaliados a partir de autorrelato. Coronariopatia foi definida por um diagn&#243;stico m&#233;dico anterior de infarto do mioc&#225;rdio ou angina, ou por revasculariza&#231;&#227;o coron&#225;ria anterior. As aferi&#231;&#245;es de press&#227;o tornozelo-braquial para c&#225;lculo de &#237;ndice tornozelo-braquial (ITB) s&#227;o descritas detalhadamente por Miname et al.<xref ref-type="bibr" rid="B24"><sup>24</sup></xref>. De acordo com os achados desse estudo, o ITB foi calculado como a propor&#231;&#227;o entre a press&#227;o sist&#243;lica m&#237;nima do tornozelo e a press&#227;o sist&#243;lica m&#225;xima no bra&#231;o, para obter uma sensibilidade maior. Doen&#231;a arterial perif&#233;rica foi definida quando o ITB era &lt; 1,0.<xref ref-type="bibr" rid="B24"><sup>24</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B25"><sup>25</sup></xref> Para dados sobre o uso de medicamentos, al&#233;m dos question&#225;rios, solicitou-se que os pacientes trouxessem para a linha de base, todos os medicamentos, com receita m&#233;dica ou n&#227;o, que eles estivessem tomando no momento.<xref ref-type="bibr" rid="B26"><sup>26</sup></xref> O uso de anticoagulantes foi definido como o uso de um medicamento com c&#243;digo <italic>Anatomical Therapeutic Chemical</italic> (ATC) B01AA ou B01AB. O uso de antiagregantes plaquet&#225;rios foi definido como o uso de medicamentos com c&#243;digo ATC B01AC. Para participantes sem coronariopatia ou acidente vascular cerebral, o risco de doen&#231;a cardiovascular ateroscler&#243;tica (DCVAS) de 10 anos foi calculado de acordo com as diretrizes de Avalia&#231;&#227;o de Risco Cardiovascular da ACC/AHA de 2013.<xref ref-type="bibr" rid="B27"><sup>27</sup></xref> As pontua&#231;&#245;es CHA<sub>2</sub>DS<sub>2</sub>-VASc foram calculadas de acordo com Lip et al.<xref ref-type="bibr" rid="B11"><sup>11</sup></xref> e categorizadas como 0 ou 1 pontos, 2 ou 3 pontos, e &#8805; 4 pontos.</p>
      </sec>
      <sec>
        <title>An&#225;lise estat&#237;stica</title>
        <p>As vari&#225;veis categ&#243;ricas s&#227;o apresentadas como contagens e propor&#231;&#245;es, e s&#227;o comparadas usando-se o teste Qui-quadrado ou o teste exato de Fisher. As vari&#225;veis cont&#237;nuas (idade, &#237;ndice de massa corporal, &#237;ndice tornozelo-braquial, e risco de DCVAS de 10 anos) t&#234;m distribui&#231;&#227;o n&#227;o normal (p&lt;0,001 para todas, usando o teste Anderson-Darling), e s&#227;o apresentadas como medianas e faixas interquartis, e s&#227;o comparadas entre os grupos, usando o teste U de Mann-Whitney. Modelos de regress&#227;o log&#237;stica brutos padronizados para a idade e o sexo foram constru&#237;dos para analisar se o diagn&#243;stico de FFA na linha de base do ELSA-Brasil estava associado a idade, sexo, ra&#231;a, grau de escolaridade, renda mensal, tabagismo, diagn&#243;sticos de hipertens&#227;o, diabetes e dislipidemia, &#237;ndice de massa corporal, obesidade abdominal, doen&#231;a arterial perif&#233;rica, coronariopatia, insufici&#234;ncia card&#237;aca, acidente vascular cerebral, febre reum&#225;tica, e um risco de DCC de 10 anos &gt; 10%. A regress&#227;o log&#237;stica bin&#225;ria foi usada para analisar a associa&#231;&#227;o com todos os casos de FFA, enquanto a regress&#227;o log&#237;stica multinomial foi usada para analisar a associa&#231;&#227;o com casos de FFA de acordo com cada crit&#233;rio de defini&#231;&#227;o (por registro de eletrocardiograma ou autorrelato) separadamente. O n&#237;vel de signific&#226;ncia foi definido em 5%, e o software R, vers&#227;o 3.5.1, foi usado em todas as an&#225;lises.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <p>Entre os 13.260 participantes inclu&#237;dos nas an&#225;lises, 333 (2,5%) tinham FFA na linha de base do ELSA-Brasil, 176/7.213 (2,4%) eram mulheres e 157/6.047 (2,6%) eram homens. De acordo com a faixa et&#225;ria, a frequ&#234;ncia de diagn&#243;stico de FFA foi 1,2%, 2,2%, 2,9%, e 5,4% para as idades &lt; 45, 45-54, 55-64, e &gt; 64 anos, respectivamente. A <xref ref-type="table" rid="t1">Tabela 1</xref> mostra as caracter&#237;sticas das amostras do estudo de acordo com a presen&#231;a de diagn&#243;stico de FFA na linha de base do ELSA-Brasil. Os indiv&#237;duos n&#227;o brancos representaram 47,9% da amostra, e a maioria dos participantes tinham ensino superior completo ou mais.</p>
      <table-wrap id="t1">
        <label>Tabela 1</label>
        <caption>
          <title>Caracter&#237;sticas das amostras do estudo de acordo com a presen&#231;a de diagn&#243;stico de FFA na linha de base do ELSA-Brasil</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="13%">
            <col width="1%"/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="left" valign="middle" rowspan="2" colspan="2"/>
              <th align="center" rowspan="2" valign="middle">Sem fibrila&#231;&#227;o ou flutter atrial. (N=12.927)</th>
              <th align="center" colspan="3" valign="middle">Fibrila&#231;&#227;o ou flutter atrial</th>
              <th align="left" valign="middle"/>
              <th align="left" valign="middle"/>
            </tr>
            <tr>
              <th align="center" valign="middle">Por registro de eletrocardiograma (N=48)</th>
              <th align="center" valign="middle">Apenas por autorrelato (N=285)</th>
              <th align="center" valign="middle">Todos os casos de FFA (N=333)</th>
              <th align="center" valign="middle">Total (N=13.260)</th>
              <th align="center" valign="middle">p-valor</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" colspan="2" valign="middle">Idade (anos; mediana [P25 - P75])</td>
              <td align="center" valign="middle">51,0 [45,0 &#8211; 58,0]</td>
              <td align="center" valign="middle">61,5 [56,0 &#8211; 71,0]</td>
              <td align="center" valign="middle">54,0 [49,0 &#8211; 62,0]</td>
              <td align="center" valign="middle">56,0 [49,0 &#8211; 63,0]</td>
              <td align="center" valign="middle">51,0 [45,0 &#8211; 58,0]</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN3">&#8225;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Sexo feminino (N (%))</td>
              <td align="center" valign="middle">7.037 (54,4%)</td>
              <td align="center" valign="middle">18 (37,5%)</td>
              <td align="center" valign="middle">158 (55,4%)</td>
              <td align="center" valign="middle">176 (52,9%)</td>
              <td align="center" valign="middle">7.213 (54,4%)</td>
              <td align="center" valign="middle">0,61 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Ra&#231;a (N (%))</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Branco</td>
              <td align="center" valign="middle">6.652 (52,1%)</td>
              <td align="center" valign="middle">29 (61,7%)</td>
              <td align="center" valign="middle">154 (54,6%)</td>
              <td align="center" valign="middle">183 (55,6%)</td>
              <td align="center" valign="middle">6.835 (52,1%)</td>
              <td align="center" rowspan="4" valign="middle">0,039 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Pardo</td>
              <td align="center" valign="middle">3.608 (28,2%)</td>
              <td align="center" valign="middle">11 (23,4%)</td>
              <td align="center" valign="middle">74 (26,2%)</td>
              <td align="center" valign="middle">85 (25,8%)</td>
              <td align="center" valign="middle">3.693 (28,2%)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Negro</td>
              <td align="center" valign="middle">2.069 (16,2%)</td>
              <td align="center" valign="middle">7 (14,9%)</td>
              <td align="center" valign="middle">35 (12,4%)</td>
              <td align="center" valign="middle">42 (12,8%)</td>
              <td align="center" valign="middle">2.111 (16,1%)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Outros</td>
              <td align="center" valign="middle">449 (3,5%)</td>
              <td align="center" valign="middle">0 (0,0%)</td>
              <td align="center" valign="middle">19 (6,7%)</td>
              <td align="center" valign="middle">19 (5,8%)</td>
              <td align="center" valign="middle">468 (3,6%)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Grau de escolaridade (N (%))</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Ensino m&#233;dio incompleto</td>
              <td align="center" valign="middle">1.529 (11,8%)</td>
              <td align="center" valign="middle">13 (27,1%)</td>
              <td align="center" valign="middle">34 (11,9%)</td>
              <td align="center" valign="middle">47 (14,1%)</td>
              <td align="center" valign="middle">1.576 (11,9%)</td>
              <td align="center" rowspan="3" valign="middle">0,10 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Ensino m&#233;dio completo</td>
              <td align="center" valign="middle">4.443 (34,4%)</td>
              <td align="center" valign="middle">12 (25,0%)</td>
              <td align="center" valign="middle">85 (29,8%)</td>
              <td align="center" valign="middle">97 (29,1%)</td>
              <td align="center" valign="middle">4.540 (34,2%)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Ensino superior ou mais</td>
              <td align="center" valign="middle">6.955 (53,8%)</td>
              <td align="center" valign="middle">23 (47,9%)</td>
              <td align="center" valign="middle">166 (58,2%)</td>
              <td align="center" valign="middle">189 (56,8%)</td>
              <td align="center" valign="middle">7.144 (53,9%)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Renda mensal (N (%))</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&lt; USD$ 1245</td>
              <td align="center" valign="middle">3.357 (26,1%)</td>
              <td align="center" valign="middle">15 (31,2%)</td>
              <td align="center" valign="middle">58 (20,4%)</td>
              <td align="center" valign="middle">73 (22,0%)</td>
              <td align="center" valign="middle">3.430 (26,0%)</td>
              <td align="center" rowspan="3" valign="middle">0,001 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">USD$ 1245-3319</td>
              <td align="center" valign="middle">5.679 (44,1%)</td>
              <td align="center" valign="middle">12 (25,0%)</td>
              <td align="center" valign="middle">115 (40,5%)</td>
              <td align="center" valign="middle">127 (38,3%)</td>
              <td align="center" valign="middle">5.806 (43,9%)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; USD$ 3320</td>
              <td align="center" valign="middle">3.845 (29,9%)</td>
              <td align="center" valign="middle">21 (43,8%)</td>
              <td align="center" valign="middle">111 (39,1%)</td>
              <td align="center" valign="middle">132 (39,8%)</td>
              <td align="center" valign="middle">3.977 (30,1%)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Tabagismo (N (%))</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Nunca fumou</td>
              <td align="center" valign="middle">7.467 (57,8%)</td>
              <td align="center" valign="middle">29 (60,4%)</td>
              <td align="center" valign="middle">161 (56,5%)</td>
              <td align="center" valign="middle">190 (57,1%)</td>
              <td align="center" valign="middle">7.657 (57,7%)</td>
              <td align="center" rowspan="3" valign="middle">0,75 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Ex-fumante</td>
              <td align="center" valign="middle">3.822 (29,6%)</td>
              <td align="center" valign="middle">13 (27,1%)</td>
              <td align="center" valign="middle">91 (31,9%)</td>
              <td align="center" valign="middle">104 (31,2%)</td>
              <td align="center" valign="middle">3.926 (29,6%)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Fumante</td>
              <td align="center" valign="middle">1.637 (12,7%)</td>
              <td align="center" valign="middle">6 (12,5%)</td>
              <td align="center" valign="middle">33 (11,6%)</td>
              <td align="center" valign="middle">39 (11,7%)</td>
              <td align="center" valign="middle">1.676 (12,6%)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Hipertens&#227;o (N (%))</td>
              <td align="center" valign="middle">4.463 (34,5%)</td>
              <td align="center" valign="middle">30 (62,5%)</td>
              <td align="center" valign="middle">136 (47,7%)</td>
              <td align="center" valign="middle">166 (49,8%)</td>
              <td align="center" valign="middle">4.629 (34,9%)</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Diabetes (N (%))</td>
              <td align="center" valign="middle">2.438 (18,9%)</td>
              <td align="center" valign="middle">15 (31,2%)</td>
              <td align="center" valign="middle">66 (23,2%)</td>
              <td align="center" valign="middle">81 (24,3%)</td>
              <td align="center" valign="middle">2.519 (19,0%)</td>
              <td align="center" valign="middle">0,015 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Dislipidemia (N (%))</td>
              <td align="center" valign="middle">7.489 (58,0%)</td>
              <td align="center" valign="middle">27 (56,2%)</td>
              <td align="center" valign="middle">188 (66,0%)</td>
              <td align="center" valign="middle">215 (64,6%)</td>
              <td align="center" valign="middle">7.704 (58,1%)</td>
              <td align="center" valign="middle">0,019 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">&#205;ndice de massa corporal (kg/m<sup>2</sup>; mediana [P25 - P75])</td>
              <td align="center" valign="middle">26,3 [23,7 &#8211; 29,5]</td>
              <td align="center" valign="middle">27,4 [25,4 &#8211; 30,4]</td>
              <td align="center" valign="middle">26,2 [23,9 &#8211; 30,2]</td>
              <td align="center" valign="middle">26,5 [24,1 &#8211; 30,3]</td>
              <td align="center" valign="middle">26,3 [23,7 &#8211; 29,6]</td>
              <td align="center" valign="middle">0,35 <xref ref-type="table-fn" rid="TFN3">&#8225;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Classifica&#231;&#227;o do &#237;ndice de massa corporal (N (%))</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Normal</td>
              <td align="center" valign="middle">4.791 (37,1%)</td>
              <td align="center" valign="middle">10 (20,8%)</td>
              <td align="center" valign="middle">104 (36,5%)</td>
              <td align="center" valign="middle">114 (34,2%)</td>
              <td align="center" valign="middle">4.905 (37,0%)</td>
              <td align="center" rowspan="3" valign="middle">0,057 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Sobrepeso</td>
              <td align="center" valign="middle">5.238 (40,5%)</td>
              <td align="center" valign="middle">24 (50,0%)</td>
              <td align="center" valign="middle">102 (35,8%)</td>
              <td align="center" valign="middle">126 (37,8%)</td>
              <td align="center" valign="middle">5.364 (40,5%)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Obesidade</td>
              <td align="center" valign="middle">2.892 (22,4%)</td>
              <td align="center" valign="middle">14 (29,2%)</td>
              <td align="center" valign="middle">79 (27,7%)</td>
              <td align="center" valign="middle">93 (27,9%)</td>
              <td align="center" valign="middle">2.985 (22,5%)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Obesidade abdominal (N (%))</td>
              <td align="center" valign="middle">4.656 (36,0%)</td>
              <td align="center" valign="middle">20 (41,7%)</td>
              <td align="center" valign="middle">113 (39,6%)</td>
              <td align="center" valign="middle">133 (39,9%)</td>
              <td align="center" valign="middle">4.789 (36,1%)</td>
              <td align="center" valign="middle">0,16 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">&#205;ndice tornozelo-braquial (mediana [P25 - P75])</td>
              <td align="center" valign="middle">1,18 [1,12 &#8211; 1,23]</td>
              <td align="center" valign="middle">1,13 [1,04 &#8211; 1,20]</td>
              <td align="center" valign="middle">1,17 [1,11 &#8211; 1,24]</td>
              <td align="center" valign="middle">1,16 [1,10 &#8211; 1,23]</td>
              <td align="center" valign="middle">1,18 [1,12 &#8211; 1,23]</td>
              <td align="center" valign="middle">0,008 <xref ref-type="table-fn" rid="TFN3">&#8225;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Doen&#231;a arterial perif&#233;rica (N (%))</td>
              <td align="center" valign="middle">403 (3,1%)</td>
              <td align="center" valign="middle">6 (12,5%)</td>
              <td align="center" valign="middle">12 (4,2%)</td>
              <td align="center" valign="middle">18 (5,4%)</td>
              <td align="center" valign="middle">421 (3,2%)</td>
              <td align="center" valign="middle">0,025 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Uso de anticoagulantes (N (%))</td>
              <td align="center" valign="middle">37 (0,3%)</td>
              <td align="center" valign="middle">19 (39,6%)</td>
              <td align="center" valign="middle">5 (1,8%)</td>
              <td align="center" valign="middle">24 (7,2%)</td>
              <td align="center" valign="middle">61 (0,5%)</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Uso de antiagregantes plaquet&#225;rios (N (%))</td>
              <td align="center" valign="middle">706 (5,5%)</td>
              <td align="center" valign="middle">7 (14,6%)</td>
              <td align="center" valign="middle">45 (15,8%)</td>
              <td align="center" valign="middle">52 (15,6%)</td>
              <td align="center" valign="middle">758 (5,7%)</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Uso de anticoagulantes e/ou antiagregantes plaquet&#225;rios (N (%))</td>
              <td align="center" valign="middle">741 (5,7%)</td>
              <td align="center" valign="middle">26 (54,2%)</td>
              <td align="center" valign="middle">50 (17,5%)</td>
              <td align="center" valign="middle">76 (22,8%)</td>
              <td align="center" valign="middle">817 (6,2%)</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Coronariopatia (N (%))</td>
              <td align="center" valign="middle">536 (4,2%)</td>
              <td align="center" valign="middle">7 (14,6%)</td>
              <td align="center" valign="middle">67 (23,5%)</td>
              <td align="center" valign="middle">74 (22,2%)</td>
              <td align="center" valign="middle">610 (4,6%)</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Insufici&#234;ncia card&#237;aca (N (%))</td>
              <td align="center" valign="middle">160 (1,2%)</td>
              <td align="center" valign="middle">10 (20,8%)</td>
              <td align="center" valign="middle">26 (9,2%)</td>
              <td align="center" valign="middle">36 (10,8%)</td>
              <td align="center" valign="middle">196 (1,5%)</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Acidente vascular cerebral (N (%))</td>
              <td align="center" valign="middle">153 (1,2%)</td>
              <td align="center" valign="middle">1 (2,1%)</td>
              <td align="center" valign="middle">7 (2,5%)</td>
              <td align="center" valign="middle">8 (2,4%)</td>
              <td align="center" valign="middle">161 (1,2%)</td>
              <td align="center" valign="middle">0,067 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Febre reum&#225;tica (N (%))</td>
              <td align="center" valign="middle">352 (2,7%)</td>
              <td align="center" valign="middle">7 (14,6%)</td>
              <td align="center" valign="middle">23 (8,1%)</td>
              <td align="center" valign="middle">30 (9,0%)</td>
              <td align="center" valign="middle">382 (2,9%)</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Evento tromboemb&#243;lico (N (%))</td>
              <td align="center" valign="middle">198 (1,5%)</td>
              <td align="center" valign="middle">4 (8,3%)</td>
              <td align="center" valign="middle">5 (1,8%)</td>
              <td align="center" valign="middle">9 (2,7%)</td>
              <td align="center" valign="middle">207 (1,6%)</td>
              <td align="center" valign="middle">0,11 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Risco de DCVAS de 10 anos (mediana [P25 - P75])</td>
              <td align="center" valign="middle">2,8% [1,1% &#8722;7,1%]</td>
              <td align="center" valign="middle">11,8% [4,2% &#8211; 18,5%]</td>
              <td align="center" valign="middle">2,7% [1,4% &#8211; 7,9%]</td>
              <td align="center" valign="middle">3,4% [1,5% - 10,4%]</td>
              <td align="center" valign="middle">2,8% [1,1% &#8211; 7,2%]</td>
              <td align="center" valign="middle">0,001 <xref ref-type="table-fn" rid="TFN3">&#8225;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Risco de DCVAS de 10 anos &gt; 10% (N (%))</td>
              <td align="center" valign="middle">2075 (16,9%)</td>
              <td align="center" valign="middle">23 (57,5%)</td>
              <td align="center" valign="middle">41 (19,2%)</td>
              <td align="center" valign="middle">64 (25,2%)</td>
              <td align="center" valign="middle">2139 (17,1%)</td>
              <td align="center" valign="middle">0,001 <xref ref-type="table-fn" rid="TFN2">&#8224;</xref></td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN1">
            <p>O risco de DCVAS de 10 anos &#233; definido apenas para participantes sem hist&#243;rico de coronariopatia ou acidente vascular cerebral. FFA: Fibrila&#231;&#227;o ou flutter atrial. DCVAS: Doen&#231;a cardiovascular ateroscler&#243;tica. Os p-valores s&#227;o apresentados para compara&#231;&#227;o entre o grupo sem fibrila&#231;&#227;o ou flutter atrial (N=12.927) e todos os casos de FFA (N=333), utilizando os testes</p>
          </fn>
          <fn id="TFN2">
            <label>&#8224;</label>
            <p>Qui-quadrado ou</p>
          </fn>
          <fn id="TFN3">
            <label>&#8225;</label>
            <p>U de Mann-Whitney.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>A <xref ref-type="table" rid="t2">Tabela 2</xref> mostra raz&#245;es de chance padronizadas para idade e sexo para a associa&#231;&#227;o com a presen&#231;a de diagn&#243;stico de FFA na linha de base do ELSA-Brasil. Considerando todos os casos de FFA, idade mais alta (p&lt;0,001), renda mais alta (p=0,044), e diagn&#243;sticos de hipertens&#227;o (p=0,002), coronariopatia (p&lt;0,001), insufici&#234;ncia card&#237;aca (p&lt;0,001), e febre reum&#225;tica (p&lt;0,001) foram positivamente associados a FFA nos modelos padronizados. Restringindo os casos aos 48 participantes que apresentaram FFA no eletrocardiograma de linha de base, idade mais alta (p&lt;0,001), sexo masculino (p=0,037), e diagn&#243;sticos de doen&#231;a arterial perif&#233;rica (p=0,026), insufici&#234;ncia card&#237;aca (p&lt;0,001), e febre reum&#225;tica (p&lt;0,001) foram positivamente associados a FFA nos modelos padronizados. A Tabela suplementar 1 mostra os resultados de modelos brutos para essas associa&#231;&#245;es.</p>
      <table-wrap id="t2">
        <label>Tabela 2</label>
        <caption>
          <title>Raz&#245;es de chance padronizadas para idade e sexo (intervalos de confian&#231;a de 95%) para a associa&#231;&#227;o com fibrila&#231;&#227;o ou flutter atrial na linha de base do ELSA-Brasil</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="24%">
            <col width="1%"/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="left" valign="middle" colspan="2"/>
              <th align="left" valign="middle"/>
              <th align="center" valign="middle">Fibrila&#231;&#227;o ou flutter atrial</th>
              <th align="left" valign="middle"/>
            </tr>
            <tr>
              <th align="left" valign="middle" colspan="2">Vari&#225;vel</th>
              <th align="center" valign="middle">Por registro de eletrocardiograma (N=48)</th>
              <th align="center" valign="middle">Apenas por autorrelato (N=285)</th>
              <th align="center" valign="middle">Todos os casos de FFA (N=333)</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle" colspan="2">Idade (incrementos de um ano)</td>
              <td align="center" valign="middle">1,12 [1,09 &#8211; 1,16]</td>
              <td align="center" valign="middle">1,04 (1,03 &#8211; 1,06) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
              <td align="center" valign="middle">1,05 (1,04 &#8211; 1,07) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Sexo feminino</td>
              <td align="center" valign="middle">0,53 (0,30 &#8211; 0,96) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
              <td align="center" valign="middle">1,05 (0,83 &#8211; 1,33)</td>
              <td align="center" valign="middle">0,95 (0,76 &#8211; 1,18)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Ra&#231;a</bold>
                <xref ref-type="table-fn" rid="TFN4">*</xref>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Branco</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Pardo</td>
              <td align="center" valign="middle">0,92 (0,45 &#8211; 1,85)</td>
              <td align="center" valign="middle">0,95 (0,72 &#8211; 1,26)</td>
              <td align="center" valign="middle">0,94 (0,72 &#8211; 1,22)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Negro</td>
              <td align="center" valign="middle">(0,43 &#8211; 2,27)</td>
              <td align="center" valign="middle">0,76 (0,52 &#8211; 1,10)</td>
              <td align="center" valign="middle">0,79 (0,56 &#8211; 1,10)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Grau de escolaridade</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Ensino m&#233;dio incompleto</td>
              <td align="center" valign="middle">1,73 (0,87 &#8211; 3,43)</td>
              <td align="center" valign="middle">0,79 (0,54 &#8211; 1,15)</td>
              <td align="center" valign="middle">0,92 (0,66 &#8211; 1,27)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Ensino m&#233;dio completo</td>
              <td align="center" valign="middle">1,12 (0,55 &#8211; 2,28)</td>
              <td align="center" valign="middle">0,86 (0,66 &#8211; 1,12)</td>
              <td align="center" valign="middle">0,88 (0,69 &#8211; 1,13)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Ensino superior ou mais</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Renda mensal</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&lt; USD$ 1245</td>
              <td align="center" valign="middle">1,27 (0,64 &#8211; 2,51)</td>
              <td align="center" valign="middle">0,67 (0,48 &#8211; 0,93) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
              <td align="center" valign="middle">0,74 (0,55 &#8211; 0,99) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">USD$ 1245-3319</td>
              <td align="center" valign="middle">0,61 (0,29 &#8211; 1,25)</td>
              <td align="center" valign="middle">0,80 (0,61 &#8211; 1,04)</td>
              <td align="center" valign="middle">0,77 (0,60 &#8211; 0,99) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; USD$ 3320 (N (%))</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Tabagismo</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Nunca fumou</td>
              <td align="center" valign="middle">(Refer&#234;ncia)</td>
              <td align="center" valign="middle">(Refer&#234;ncia)</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Ex-fumante</td>
              <td align="center" valign="middle">0,57 (0,29 - 1,12)</td>
              <td align="center" valign="middle">0,98 (0,75 &#8211; 1,27)</td>
              <td align="center" valign="middle">0,90 (0,70 &#8211; 1,16)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Fumante</td>
              <td align="center" valign="middle">1,00 (0,42 &#8211; 2,40)</td>
              <td align="center" valign="middle">0,93 (0,64 &#8211; 1,36)</td>
              <td align="center" valign="middle">0,93 (0,65 &#8211; 1,32)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Hipertens&#227;o</td>
              <td align="center" valign="middle">1,65 (0,89 &#8211; 3,03)</td>
              <td align="center" valign="middle">1,41 (1,10 &#8211; 1,81) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
              <td align="center" valign="middle">1,44 (1,14 &#8211; 1,81) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Diabetes</td>
              <td align="center" valign="middle">1,11 (0,60 &#8211; 2,08)</td>
              <td align="center" valign="middle">1,06 (0,80 &#8211; 1,41)</td>
              <td align="center" valign="middle">1,07 (0,82 &#8211; 1,39)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Dislipidemia</td>
              <td align="center" valign="middle">0,66 (0,37 &#8211; 1,18)</td>
              <td align="center" valign="middle">1,22 (0,95 &#8211; 1,57)</td>
              <td align="center" valign="middle">1,10 (0,87 &#8211; 1,39)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Classifica&#231;&#227;o do &#237;ndice de massa corporal</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Normal</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
              <td align="center" valign="middle">1,0 (Refer&#234;ncia)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Sobrepeso</td>
              <td align="center" valign="middle">1,88 (0,90 &#8211; 3,95)</td>
              <td align="center" valign="middle">0,85 (0,64 &#8211; 1,12)</td>
              <td align="center" valign="middle">0,94 (0,72 &#8211; 1,21)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Obesidade</td>
              <td align="center" valign="middle">2,21 (0,97 &#8211; 5,00)</td>
              <td align="center" valign="middle">1,19 (0,88 &#8211; 1,60)</td>
              <td align="center" valign="middle">1,27 (0,96 &#8211; 1,68)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Obesidade abdominal</td>
              <td align="center" valign="middle">1,15 (0,63 &#8211; 2,08)</td>
              <td align="center" valign="middle">1,04 (0,81 &#8211; 1,33)</td>
              <td align="center" valign="middle">1,05 (0,83 &#8211; 1,32)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Doen&#231;a arterial perif&#233;rica</td>
              <td align="center" valign="middle">2,72 (1,13 &#8211; 6,54) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
              <td align="center" valign="middle">1,16 (0,64 &#8211; 2,10)</td>
              <td align="center" valign="middle">1,44 (0,88 &#8211; 2,35)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Doen&#231;a arterial coronariana</td>
              <td align="center" valign="middle">1,87 (0,81 &#8211; 4,28)</td>
              <td align="center" valign="middle">5,99 (4,44 &#8211; 8,09) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
              <td align="center" valign="middle">5,11 (3,85 &#8211; 6,79) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Insufici&#234;ncia card&#237;aca</td>
              <td align="center" valign="middle">11,67 (5,58 &#8211; 24,40) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
              <td align="center" valign="middle">6,51 (4,19 &#8211; 10,11) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
              <td align="center" valign="middle">7,37 (5,00 &#8211; 10,87) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Acidente vascular</td>
              <td align="center" valign="middle">0,90 (0,12 &#8211; 6,67)</td>
              <td align="center" valign="middle">1,65 (0,76 &#8211; 3,57)</td>
              <td align="center" valign="middle">1,51 (0,73 &#8211; 3,13)</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">Febre reum&#225;tica</td>
              <td align="center" valign="middle">5,75 (2,55 &#8211; 12,98) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
              <td align="center" valign="middle">3,02 (1,94 &#8211; 4,70) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
              <td align="center" valign="middle">3,38 (2,28 &#8211; 5,02) <xref ref-type="table-fn" rid="TFN5">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Risco de DCVAS de 10 anos &gt; 10%</td>
              <td align="center" valign="middle">1,56 (0,63 &#8211; 3,85)</td>
              <td align="center" valign="middle">0,78 (0,50 &#8211; 1,21)</td>
              <td align="center" valign="middle">0,95 (0,65 &#8211; 1,40)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN4">
            <label>*</label>
            <p>A propor&#231;&#227;o pequena de indiv&#237;duos de outras ra&#231;as na amostra impossibilitou a estimativa. FFA: Fibrila&#231;&#227;o ou flutter atrial. DCVAS: Doen&#231;a cardiovascular ateroscler&#243;tica. As raz&#245;es de chance e os p-valores foram obtidos a partir de modelos de regress&#227;o log&#237;stica padronizados para idade e sexo.</p>
          </fn>
          <fn id="TFN5">
            <label>&#8224;</label>
            <p>p&lt;0,05.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Foi poss&#237;vel calcular as pontua&#231;&#245;es CHA<sub>2</sub>DS<sub>2</sub>-VASc para 331 (99,4%) dos 333 participantes com diagn&#243;stico de FFA na linha de base (<xref ref-type="table" rid="t3">Tabela 3</xref>). Como esperado, os indiv&#237;duos com pontua&#231;&#245;es CHA<sub>2</sub>DS<sub>2</sub>-VASc mais altas eram mais velhos (p&lt;0,001), tinham uma probabilidade mais alta de serem mulheres (p=0,002), e apresentaram um risco cardiovascular mais alto (p&lt;0,001). Entre os 185 participantes com FFA e pontua&#231;&#227;o no CHA<sub>2</sub>DS<sub>2</sub>-VASc &#8805;2, apenas 20 (10,8%) faziam tratamento com anticoagulantes (16/32; 50,0% quando os casos eram restritos aos 48 participantes que apresentaram FFA no eletrocardiograma de linha de base).</p>
      <table-wrap id="t3">
        <label>Tabela 3</label>
        <caption>
          <title>Caracter&#237;sticas dos participantes com fibrila&#231;&#227;o ou flutter atrial na linha de base do ELSA-Brasil de acordo com as pontua&#231;&#245;es CHA2DS2-VASc</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="12%">
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="left" valign="middle"/>
              <th align="center" colspan="7" valign="middle">Fibrila&#231;&#227;o ou flutter atrial</th>
            </tr>
            <tr>
              <th align="left" valign="middle"/>
              <th align="center" colspan="2" valign="middle">Por registro de eletrocardiograma</th>
              <th align="center" valign="middle" colspan="2" style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">Apenas por autorrelato</th>
              <th align="center" valign="middle" colspan="3" style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">Todos os casos de FFA</th>
            </tr>
            <tr>
              <th align="left" valign="middle"/>
              <th align="center" valign="middle">Pontua&#231;&#227;o CHA2DS2-VASc &lt; 2 (N=16)</th>
              <th align="center" valign="middle">Pontua&#231;&#227;o CHA2DS2-VASc &#8805; 2 (N=32)</th>
              <th align="center" valign="middle">Pontua&#231;&#227;o CHA2DS2-VASc &lt; 2 (N=130)</th>
              <th align="center" valign="middle">Pontua&#231;&#227;o CHA2DS2-VASc &#8805; 2 (N=153)</th>
              <th align="center" valign="middle">Pontua&#231;&#227;o CHA2DS2-VASc &lt; 2 (N=146)</th>
              <th align="center" valign="middle">Pontua&#231;&#227;o CHA2DS2-VASc &#8805; 2 (N=185)</th>
              <th align="center" valign="middle">p-valor</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">Idade (anos; mediana [P25 - P75])</td>
              <td align="center" valign="middle">56,0 [49,5 &#8211; 61,2]</td>
              <td align="center" valign="middle">67,5 [58,0 &#8211; 71,2]</td>
              <td align="center" valign="middle">49,5 [45,0 &#8211; 56,0]</td>
              <td align="center" valign="middle">59,0 [53,0 &#8211; 66,0]</td>
              <td align="center" valign="middle">50,0 [45,0 &#8211; 57,0]</td>
              <td align="center" valign="middle">60,0 [53,0 &#8211; 68,0]</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN8">&#8225;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle">Sexo feminino (N (%))</td>
              <td align="center" valign="middle">3 (18,8%)</td>
              <td align="center" valign="middle">15 (46,9%)</td>
              <td align="center" valign="middle">60 (46,2%)</td>
              <td align="center" valign="middle">97 (63,4%)</td>
              <td align="center" valign="middle">63 (43,2%)</td>
              <td align="center" valign="middle">112 (60,5%)</td>
              <td align="center" valign="middle">0,002 <xref ref-type="table-fn" rid="TFN7">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle">Coronariopatia (N (%))</td>
              <td align="center" valign="middle">0 (0,0%)</td>
              <td align="center" valign="middle">7 (21,9%)</td>
              <td align="center" valign="middle">2 (1,5%)</td>
              <td align="center" valign="middle">64 (41,8%)</td>
              <td align="center" valign="middle">2 (1,4%)</td>
              <td align="center" valign="middle">71 (38,4%)</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN7">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle">Acidente vascular cerebral (N (%))</td>
              <td align="center" valign="middle">0 (0,0%)</td>
              <td align="center" valign="middle">1 (3,1%)</td>
              <td align="center" valign="middle">0 (0,0%)</td>
              <td align="center" valign="middle">7 (4,6%)</td>
              <td align="center" valign="middle">0 (0,0%)</td>
              <td align="center" valign="middle">8 (4,3%)</td>
              <td align="center" valign="middle">0,010 <xref ref-type="table-fn" rid="TFN9">&#165;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle">Risco de DCVAS em 10 anos &gt; 10% (N (%))</td>
              <td align="center" valign="middle">7 (43,8%)</td>
              <td align="center" valign="middle">16 (66,7%)</td>
              <td align="center" valign="middle">15 (11,7%)</td>
              <td align="center" valign="middle">26 (30,6%)</td>
              <td align="center" valign="middle">22 (15,3%)</td>
              <td align="center" valign="middle">42 (38,5%)</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN7">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle">DCVAS anterior ou Risco de DCVAS em 10 anos anterior &gt; 10%</td>
              <td align="center" valign="middle">7 (43,8%)</td>
              <td align="center" valign="middle">24 (75,0%)</td>
              <td align="center" valign="middle">17 (13,1%)</td>
              <td align="center" valign="middle">94 (61,4%)</td>
              <td align="center" valign="middle">24 (16,4%)</td>
              <td align="center" valign="middle">118 (63,8%)</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN7">&#8224;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de anticoagulantes (N (%))</td>
              <td align="center" valign="middle">3 (18,8%)</td>
              <td align="center" valign="middle">16 (50,0%)</td>
              <td align="center" valign="middle">1 (0,8%)</td>
              <td align="center" valign="middle">4 (2,6%)</td>
              <td align="center" valign="middle">4 (2,7%)</td>
              <td align="center" valign="middle">20 (10,8%)</td>
              <td align="center" valign="middle">0,005 <xref ref-type="table-fn" rid="TFN9">&#165;</xref></td>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de antiagregantes plaquet&#225;rios (N (%))</td>
              <td align="center" valign="middle">2 (12,5%)</td>
              <td align="center" valign="middle">5 (15,6%)</td>
              <td align="center" valign="middle">2 (1,5%)</td>
              <td align="center" valign="middle">43 (28,1%)</td>
              <td align="center" valign="middle">4 (2,7%)</td>
              <td align="center" valign="middle">48 (25,9%)</td>
              <td align="center" valign="middle">&lt;0,001 <xref ref-type="table-fn" rid="TFN7">&#8224;</xref></td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN6">
            <p>O risco de DCVAS de 10 anos &#233; definido apenas para participantes sem hist&#243;rico de coronariopatia ou acidente vascular cerebral. FFA: Fibrila&#231;&#227;o ou flutter atrial. DCVAS: Doen&#231;a cardiovascular ateroscler&#243;tica. Os p-valores s&#227;o apresentados para compara&#231;&#227;o entre os grupos com pontua&#231;&#227;o CHA<sub>2</sub>DS<sub>2</sub>-VASc &lt; 2 (N=146) e com pontua&#231;&#227;o CHA<sub>2</sub>DS<sub>2</sub>-VASc &#8805; 2 (N=185) entre todos os casos de FFA, utilizando os testes</p>
          </fn>
          <fn id="TFN7">
            <label>&#8224;</label>
            <p>Qui-quadrado,</p>
          </fn>
          <fn id="TFN8">
            <label>&#8225;</label>
            <p>U de Mann-Whitney U ou</p>
          </fn>
          <fn id="TFN9">
            <label>&#165;</label>
            <p>exato de Fisher.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>A <xref ref-type="table" rid="t4">Tabela 4</xref> mostra a preval&#234;ncia do uso de anticoagulantes orais em participantes com FFA e uma pontua&#231;&#227;o CHA<sub>2</sub>DS<sub>2</sub>-VASc &#8805; 2, de acordo com idade e sexo. Considerando todos os casos de FFA, o uso de anticoagulantes foi mais frequente nos participantes com idade mais alta (p=0,013), e uma tend&#234;ncia para uso mais baixo de anticoagulantes em mulheres (p=0,055). A Tabela suplementar 2 mostra que a frequ&#234;ncia do uso de anticoagulantes em homens era numericamente mais alta do que em mulheres para todas as faixas et&#225;rias. Entretanto, n&#227;o foram descobertas diferen&#231;as significativas nem ao analisar todos os casos de FFA nem ao restringi-los aos participantes que apresentaram FFA no eletrocardiograma da linha de base.</p>
      <table-wrap id="t4">
        <label>Tabela 4</label>
        <caption>
          <title>Frequ&#234;ncia do uso de anticoagulantes, de acordo com idade e sexo, em participantes com fibrila&#231;&#227;o ou flutter atrial e uma pontua&#231;&#227;o CHA<sub>2</sub>DS<sub>2</sub>-VASc &#8805; 2, na linha de base do ELSA-Brasil</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="19%">
            <col width="1%"/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="left" valign="middle" colspan="2"/>
              <th align="left" valign="middle"/>
              <th align="left" valign="middle" colspan="2">Fibrila&#231;&#227;o ou flutter atrial e uma pontua&#231;&#227;o CHA<sub>2</sub>DS<sub>2</sub>-VASc &#8805; 2</th>
              <th align="left" valign="middle"/>
            </tr>
            <tr>
              <th align="left" valign="middle" colspan="2">Vari&#225;vel</th>
              <th align="center" valign="middle">Por registro de eletrocardiograma (N=32)</th>
              <th align="center" valign="middle">Apenas por autorrelato (N=153)</th>
              <th align="center" valign="middle">Todos os casos de FFA (N=185)</th>
              <th align="center" valign="middle">p-valor</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle" colspan="2">
                <bold>Idade (anos)</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="center" rowspan="4" valign="middle">0,013</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8804; 54</td>
              <td align="center" valign="middle">1 / 3 (33,3%)</td>
              <td align="center" valign="middle">0 / 52 (0,0%)</td>
              <td align="center" valign="middle">1 / 55 (1,8%)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">55 &#8211; 64</td>
              <td align="center" valign="middle">6 / 11 (54,5%)</td>
              <td align="center" valign="middle">2 / 57 (3,5%)</td>
              <td align="center" valign="middle">8 / 68 (11,8%)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; 65</td>
              <td align="center" valign="middle">9 / 18 (50,0%)</td>
              <td align="center" valign="middle">2 / 44 (4,5%)</td>
              <td align="center" valign="middle">11 / 62 (17,7%)</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">
                <bold>Sexo</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="center" rowspan="3" valign="middle">0,055</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Masculino</td>
              <td align="center" valign="middle">9 / 17 (52,9%)</td>
              <td align="center" valign="middle">3 / 56 (5,4%)</td>
              <td align="center" valign="middle">12 / 73 (16,4%)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Feminino</td>
              <td align="center" valign="middle">7 / 15 (46,7%)</td>
              <td align="center" valign="middle">1 / 97 (1,0%)</td>
              <td align="center" valign="middle">8 / 112 (7,1%)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN10">
            <p>A frequ&#234;ncia do uso de anticoagulantes, de acordo com idade e sexo, considerando todos os casos de FFA com uma pontua&#231;&#227;o de CHA<sub>2</sub>DS<sub>2</sub>-VASc &#8805; 2 foi comparada usando o teste exato de Fisher.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discuss&#227;o</title>
      <sec>
        <title>Contextualiza&#231;&#227;o e discuss&#227;o dos principais achados</title>
        <p>Em nossa amostra de coorte, 2,5% dos participantes inclu&#237;dos apresentaram FFA na linha de base. Idade, sexo masculino, renda, e diagn&#243;sticos de hipertens&#227;o, coronariopatia, doen&#231;a arterial perif&#233;rica, insufici&#234;ncia card&#237;aca e febre reum&#225;tica foram associados positivamente ao FFA. Segundo, a maioria dos participantes com FFA e uma pontua&#231;&#227;o CHA<sub>2</sub>DS<sub>2</sub>-VASc &#8805; 2 n&#227;o foi tratada com anticoagulantes e/ou antiagregantes plaquet&#225;rios. Em terceiro lugar, o uso de anticoagulante oral foi mais comum naqueles com idade mais alta, enquanto as mulheres eram tratadas menos frequentemente.</p>
        <p>A compara&#231;&#227;o da preval&#234;ncia de FFA em amostras diferentes &#233; desafiadora devido &#224;s heterogeneidades no desenho do estudo, no cen&#225;rio do estudo, e na distribui&#231;&#227;o de idade e sexo no recrutamento. Uma an&#225;lise da epidemiologia global da fibrila&#231;&#227;o atrial<xref ref-type="bibr" rid="B28"><sup>28</sup></xref> detectou uma preval&#234;ncia mundial relatada variando entre 0,1% e 6,0%, dependendo da faixa et&#225;ria e do sexo analisados. Embora este estudo relate uma frequ&#234;ncia de diagn&#243;stico de FFA semelhante na amostra, quando comparado com os estudos brasileiros citados,<xref ref-type="bibr" rid="B3"><sup>3</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B4"><sup>4</sup></xref> esses estudos t&#234;m diferen&#231;as marcadas e s&#227;o complementares. Por exemplo, Kawabata-Yoshihara et al.<xref ref-type="bibr" rid="B3"><sup>3</sup></xref> realizaram um estudo de recrutamento porta a porta sistem&#225;tico de indiv&#237;duos com idade igual ou superior a 65 anos, enquanto Marcolino et al.<xref ref-type="bibr" rid="B4"><sup>4</sup></xref> usou um grande banco de dados de eletrocardiogramas da Rede de Teleassist&#234;ncia de Minas Gerais, composto de indiv&#237;duos com idade igual ou superior a 5 anos que receberam cuidados m&#233;dicos em unidades de aten&#231;&#227;o prim&#225;ria de sa&#250;de. Ambos os estudos consideraram o diagn&#243;stico de FFA de acordo com os registros de eletrocardiograma na avalia&#231;&#227;o. Ao comparar os achados desses estudos com os achados do presente estudo, detectou-se uma frequ&#234;ncia mais alta de FFA quando faixas et&#225;rias semelhantes foram comparadas. Provavelmente isso foi influenciado pelas defini&#231;&#245;es de caso, j&#225; que o presente estudo tamb&#233;m incluiu um diagn&#243;stico m&#233;dico autorrelatado como crit&#233;rio diagn&#243;stico. Entretanto, considerar apenas os tra&#231;ados de eletrocardiograma durante a avalia&#231;&#227;o e excluir o hist&#243;rico m&#233;dico das defini&#231;&#245;es pode levar a uma especificidade mais alta e reduzir erros de informa&#231;&#227;o autorrelatada, mas tamb&#233;m pode subestimar os &#237;ndices de preval&#234;ncia devido ao sub-reconhecimento da fibrila&#231;&#227;o atrial parox&#237;stica.</p>
        <p>A associa&#231;&#227;o entre insufici&#234;ncia card&#237;aca e fibrila&#231;&#227;o atrial tem import&#226;ncia cl&#237;nica. Healey et al.<xref ref-type="bibr" rid="B12"><sup>12</sup></xref> analisaram dados de 15.400 indiv&#237;duos com FFA em 47 pa&#237;ses. Depois de um ano de acompanhamento, ocorreram 11% de mortes no coorte, e a insufici&#234;ncia card&#237;aca foi a causa de morte mais comum (30%). Da mesma maneira, os indiv&#237;duos com doen&#231;a arterial perif&#233;rica e FFA t&#234;m um risco mais alto de acidente vascular cerebral, comparados com aqueles que s&#243; t&#234;m FFA.<xref ref-type="bibr" rid="B29"><sup>29</sup></xref> &#201; importante observar que, em d&#233;cadas recentes, a doen&#231;a card&#237;aca reum&#225;tica tem diminu&#237;do como causa de mortalidade no Brasil,<xref ref-type="bibr" rid="B30"><sup>30</sup></xref> e, embora novos casos no pa&#237;s sejam menos comuns, pessoas atualmente de meia idade e adultos mais velhos podem ter tido febre reum&#225;tica durante a inf&#226;ncia. Portanto, a preval&#234;ncia e a mortalidade devidas &#224; doen&#231;a card&#237;aca reum&#225;tica no Brasil n&#227;o podem ser desprezadas,<xref ref-type="bibr" rid="B31"><sup>31</sup></xref> o que &#233; refor&#231;ado por nosso achado de que 9,0% dos indiv&#237;duos com FFA nessa amostra de estudo (e 2,9% em geral) apresentaram um hist&#243;rico m&#233;dico de febre reum&#225;tica.</p>
        <p>Um achado not&#225;vel do presente estudo foi que 89,2% de todos os participantes com FFA e uma pontua&#231;&#227;o CHA<sub>2</sub>DS<sub>2</sub>-VASc &#8805; 2 n&#227;o foram tratados com anticoagulante. Isso &#233; mais importante, considerando que os participantes do ELSA-Brasil tinham um grau de escolaridade m&#233;dio e renda mais altos, quando comparados &#224; popula&#231;&#227;o brasileira geral.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> Embora os diagn&#243;sticos autorrelatados possam ter influenciado nossos achados de baixos &#237;ndices de preven&#231;&#227;o de acidente vascular cerebral, quando limitamos as an&#225;lises a participantes com FFA documentado no registro de eletrocardiograma de linha de base, metade deles ainda n&#227;o tinha recebido anticoagulante.</p>
        <p>Embora preocupantes, esses baixos &#237;ndices de prescri&#231;&#227;o para preven&#231;&#227;o de acidente vascular cerebral n&#227;o s&#227;o exclusividade de nossa amostra. Um estudo semelhante realizado por Healey et al.<xref ref-type="bibr" rid="B12"><sup>12</sup></xref> descreveu que, por regi&#227;o geogr&#225;fica, de 32% (Am&#233;rica do Norte, Europa Ocidental e Oriente M&#233;dio) a 70% (China) pacientes com indica&#231;&#227;o por diretriz n&#227;o receberam tratamento com anticoagulante oral. Na Am&#233;rica do Sul, onde o ELSA-Brasil est&#225; localizado, a frequ&#234;ncia da n&#227;o prescri&#231;&#227;o era 55%. Ogilvie et al.<xref ref-type="bibr" rid="B32"><sup>32</sup></xref> relataram uma an&#225;lise sistem&#225;tica de estudos relatando o uso de anticoagulantes orais em casos de fibrila&#231;&#227;o atrial fora de ensaios cl&#237;nicos. Eles identificaram que 21/29 (72,4%) estudos em pacientes com acidente vascular cerebral ou ataque isqu&#234;mico transit&#243;rio pr&#233;vio, bem como 5/9 (55,6%) estudos em pacientes com alto risco tromboemb&#243;lico, de acordo com escores de risco, relataram n&#237;veis de prescri&#231;&#227;o inferiores a 60%.</p>
        <p>A subprescri&#231;&#227;o de medicamentos para a preven&#231;&#227;o de acidente vascular cerebral parece ser um problema mais grave em mulheres,<xref ref-type="bibr" rid="B33"><sup>33</sup></xref> o que est&#225; de acordo com nossos dados. Khurshid et al.<xref ref-type="bibr" rid="B34"><sup>34</sup></xref> analisaram dados m&#233;dicos eletr&#244;nicos de 4.388 pacientes com fibrila&#231;&#227;o atrial e detectaram que, comparadas aos homens, as mulheres receberam menos tratamento com anticoagulantes 1, 3 e 6 meses ap&#243;s o diagn&#243;stico de fibrila&#231;&#227;o atrial. Al&#233;m disso, Emdin et al.<xref ref-type="bibr" rid="B35"><sup>35</sup></xref> realizaram uma an&#225;lise sistem&#225;tica e metan&#225;lise de 30 estudos coorte e identificaram que, comparadas aos homens, mulheres com fibrila&#231;&#227;o atrial tinham um risco mais alto de mortalidade global, mortalidade cardiovascular, e acidente vascular cerebral. Esses autores destacam que, al&#233;m da subutiliza&#231;&#227;o de medicamentos para preven&#231;&#227;o de acidente vascular cerebral, outras explica&#231;&#245;es para resultados piores, tais como os &#237;ndices mais altos de efeitos adversos dos tratamentos com anticoagulantes<xref ref-type="bibr" rid="B36"><sup>36</sup></xref> e antiarr&#237;tmicos<xref ref-type="bibr" rid="B37"><sup>37</sup></xref> em mulheres s&#227;o igualmente plaus&#237;veis. Al&#233;m disso, alguns autores destacaram um controle anticoagulante pior em mulheres que utilizam a varfarina. Por exemplo, Sullivan et al.<xref ref-type="bibr" rid="B38"><sup>38</sup></xref> analisaram dados de 4.060 participantes do estudo <italic>Atrial Fibrillation Follow-up Investigation of Rhythm Management</italic> (AFFIRM - Investiga&#231;&#227;o de monitoramento da fibrila&#231;&#227;o atrial para controle do ritmo card&#237;aco), e conclu&#237;ram que, comparadas aos homens, as mulheres em tratamento com varfarina passaram consideravelmente mais tempo utilizando doses inferiores &#224; faixa terap&#234;utica da raz&#227;o normalizada internacional (RNI) (29% vs 26%). Tamb&#233;m &#233; importante notar que, a avalia&#231;&#227;o da linha de base do ELSA-Brasil ocorreu de 2008 a 2010. Nesse momento, o uso de anticoagulantes orais de a&#231;&#227;o direta para a preven&#231;&#227;o de acidente vascular cerebral nos casos de FFA era muito raro.</p>
      </sec>
      <sec>
        <title>Pontos fortes e limita&#231;&#245;es</title>
        <p>Este estudo realmente tem alguns pontos fortes. Analisamos dados de uma amostra multic&#234;ntrica grande de indiv&#237;duos que n&#227;o foram recrutados de cen&#225;rios cl&#237;nicos. Isso reduz poss&#237;veis vieses no estudo de fatores associados &#224; fibrila&#231;&#227;o atrial e diagn&#243;sticos, e a prescri&#231;&#227;o de medicamentos para a preven&#231;&#227;o de acidente vascular cerebral, aproximando nossa validade externa &#224; popula&#231;&#227;o geral. O protocolo abrangente do ELSA-Brasil permitiu a an&#225;lise do uso de medicamento de acordo com as pontua&#231;&#245;es de risco tromboemb&#243;lico CHA<sub>2</sub>DS<sub>2</sub>-VASc. O estudo tamb&#233;m deve ser interpretado dentro de seu contexto. Conforme afirmado anteriormente, esta defini&#231;&#227;o do estudo de caso pode ter uma tend&#234;ncia a classifica&#231;&#245;es erradas por informa&#231;&#245;es autorrelatadas. Embora essa estrat&#233;gia minimize o sub-reconhecimento da fibrila&#231;&#227;o atrial parox&#237;stica, &#233; importante admitir que casos autorrelatados representaram uma propor&#231;&#227;o importante de todos os casos de FFA, e isso pode ter influenciado alguns de nossos resultados. Os dados sobre a frequ&#234;ncia de indiv&#237;duos dentro da faixa terap&#234;utica de RNI ou escores de risco de hemorragia n&#227;o estavam dispon&#237;veis. Entretanto, acreditamos que o risco de hemorragia n&#227;o &#233; suficiente para explicar uma parte significativa da falta de preven&#231;&#227;o de acidente vascular cerebral nessa amostra.</p>
      </sec>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclus&#245;es</title>
      <p>Concluindo, foi identificada uma frequ&#234;ncia de diagn&#243;stico de FFA de 2,5% na avalia&#231;&#227;o de linha de base do ELSA-Brasil. Idade, sexo masculino, renda, e diagn&#243;sticos de doen&#231;a arterial perif&#233;rica, insufici&#234;ncia card&#237;aca e febre reum&#225;tica foram associados &#224; FFA. Aproximadamente 90% da subamostra dos participantes com FFA e uma pontua&#231;&#227;o CHA<sub>2</sub>DS<sub>2</sub>-VASc &#8805; 2 (50% considerando apenas os diagnosticados por registros de eletrocardiograma) n&#227;o foram tratados com anticoagulantes.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="financial-disclosure" id="fn1">
        <p>
          <bold>Fontes de financiamento</bold>
        </p>
        <p>O presente estudo foi financiado pelo Minist&#233;rio da Sa&#250;de do Brasil (Ci&#234;ncia e Departamento de Tecnologia) e o Minist&#233;rio da Ci&#234;ncia e Tecnologia do Brasil (Financiadora de Estudos e Projetos e Conselho Nacional de Pesquisa do CNPq) (bolsas 01 06 0010,00 RS, 01 06 0212,00 BA, 01 06 0300,00 ES, 01 06 0278,00 MG, 01 06 0115,00 SP, 01 06 0071,00 RJ).</p>
      </fn>
      <fn fn-type="other" id="fn2">
        <p>
          <bold>Vincula&#231;&#227;o acad&#234;mica</bold>
        </p>
        <p>N&#227;o h&#225; vincula&#231;&#227;o deste estudo a programas de p&#243;s-gradua&#231;&#227;o.</p>
      </fn>
      <fn fn-type="other" id="fn3">
        <p>
          <bold>Aprova&#231;&#227;o &#233;tica e consentimento informado</bold>
        </p>
        <p>Este estudo foi aprovado pelo Comit&#234; de &#201;tica do Hospital Universit&#225;rio da USP sob o n&#250;mero de protocolo 659/06. 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 fn-type="other" id="fn4">
        <p>
          <bold>*Material suplementar</bold>
        </p>
        <p>Para informa&#231;&#227;o adicional, por favor, clique aqui.</p>
      </fn>
    </fn-group>
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  <sub-article article-type="translation" id="S01" xml:lang="en">
    <front-stub>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Atrial Fibrillation Diagnosis using ECG Records and Self-Report in the Community: Cross-Sectional Analysis from ELSA-Brasil</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-3212-8466</contrib-id>
          <name>
            <surname>Santos</surname>
            <given-names>Itamar S.</given-names>
          </name>
          <xref ref-type="aff" rid="aff11">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="c2"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lotufo</surname>
            <given-names>Paulo A.</given-names>
          </name>
          <xref ref-type="aff" rid="aff11">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-7317-1367</contrib-id>
          <name>
            <surname>Brant</surname>
            <given-names>Luisa</given-names>
          </name>
          <xref ref-type="aff" rid="aff12">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-6646-1163</contrib-id>
          <name>
            <surname>Pinto</surname>
            <given-names>Marcelo M.</given-names>
            <suffix>Filho</suffix>
          </name>
          <xref ref-type="aff" rid="aff13">
            <sup>3</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Pereira</surname>
            <given-names>Alexandre da Costa</given-names>
          </name>
          <xref ref-type="aff" rid="aff14">
            <sup>4</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Barreto</surname>
            <given-names>Sandhi Maria</given-names>
          </name>
          <xref ref-type="aff" rid="aff15">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2740-0042</contrib-id>
          <name>
            <surname>Ribeiro</surname>
            <given-names>Antonio L.</given-names>
          </name>
          <xref ref-type="aff" rid="aff16">
            <sup>6</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Thomas</surname>
            <given-names>G Neil</given-names>
          </name>
          <xref ref-type="aff" rid="aff17">
            <sup>7</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lip</surname>
            <given-names>Gregory Y. H.</given-names>
          </name>
          <xref ref-type="aff" rid="aff18">
            <sup>8</sup>
          </xref>
          <xref ref-type="aff" rid="aff19">
            <sup>9</sup>
          </xref>
          <xref ref-type="aff" rid="aff20">
            <sup>10</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bensenor</surname>
            <given-names>Isabela M.</given-names>
          </name>
          <xref ref-type="aff" rid="aff11">
            <sup>1</sup>
          </xref>
        </contrib>
        <aff id="aff11">
          <label>1</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 Universit&#225;rio da Universidade de S&#227;o Paulo, Centro de Pesquisa Cl&#237;nica e Epidemiol&#243;gica, S&#227;o Paulo, SP - Brazil</institution>
        </aff>
        <aff id="aff12">
          <label>2</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 Medicina da Universidade Federal de Minas Gerais, Departamento de Cl&#237;nica M&#233;dica, Belo Horizonte, MG - Brazil</institution>
        </aff>
        <aff id="aff13">
          <label>3</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 Medicina da Universidade Federal de Minas Gerais - Programa de P&#243;s-Gradua&#231;&#227;o em Infectologia e Medicina Tropical, Belo Horizonte, MG - Brazil</institution>
        </aff>
        <aff id="aff14">
          <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">Instituto do Cora&#231;&#227;o do Hospital das Cl&#237;nicas da Faculdade de Medicina da Universidade de S&#227;o Paulo - Laborat&#243;rio de Gen&#233;tica e Cardiologia Molecular, S&#227;o Paulo, SP - Brazil</institution>
        </aff>
        <aff id="aff15">
          <label>5</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">Universidade Federal de Minas Gerais, Belo Horizonte, MG - Brazil</institution>
        </aff>
        <aff id="aff16">
          <label>6</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">Universidade Federal de Minas Gerais - Centro de Telessa&#250;de - Hospital das Cl&#237;nicas &#8211; UFMG, Belo Horizonte, MG - Brazil</institution>
        </aff>
        <aff id="aff17">
          <label>7</label>
          <addr-line>
            <named-content content-type="city">Birmingham</named-content>
          </addr-line>
          <country country="GB">Reino Unido da Gr&#227;-Bretanha</country>
          <institution content-type="original">University of Birmingham College of Medical and Dental Sciences - Institute of Applied Health Research, Birmingham - Reino Unido da Gr&#227;-Bretanha</institution>
        </aff>
        <aff id="aff18">
          <label>8</label>
          <addr-line>
            <named-content content-type="city">Liverpool</named-content>
          </addr-line>
          <country country="GB">Reino Unido da Gr&#227;-Bretanha</country>
          <institution content-type="original">University of Liverpool - Liverpool Centre for Cardiovascular Science, Liverpool, Merseyside - Reino Unido da Gr&#227;-Bretanha</institution>
        </aff>
        <aff id="aff19">
          <label>9</label>
          <addr-line>
            <named-content content-type="city">Liverpool</named-content>
          </addr-line>
          <country country="GB">Reino Unido da Gr&#227;-Bretanha</country>
          <institution content-type="original">Liverpool Heart &amp; Chest Hospital, Liverpool - Reino Unido da Gr&#227;-Bretanha</institution>
        </aff>
        <aff id="aff20">
          <label>10</label>
          <addr-line>
            <named-content content-type="city">Aalborg</named-content>
          </addr-line>
          <country country="DK">Dinamarca</country>
          <institution content-type="original">Aalborg Universitet - Aalborg Thrombosis Research Unit, Aalborg - Dinamarca</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c2"><bold>Mailing Address: Itamar S. Santos</bold> &#8226; Universidade de S&#227;o Paulo &#8211; Av. Prof. Lineu Prestes, 2565. Postal Code <postal-code>05508-000</postal-code>, S&#227;o Paulo, SP &#8211; Brazil. E-mail: <email>itamarss@usp.br</email></corresp>
        <fn fn-type="con">
          <p>
            <bold>Author Contributions</bold>
          </p>
          <p>Conception and design of the research: Santos I S, Lotufo P A, Barreto SM, Ribeiro AL, Bensenor I M; Acquisition of data: Lotufo P A, Brant L, Pinto-Filho MM, Barreto SM, Ribeiro AL, Bensenor I M; Analysis and interpretation of the data: Santos I S, Lotufo P A, Brant L, Pinto-Filho MM, Pereira AC, Barreto SM, Ribeiro AL, Thomas GN, Lip GYH, Bensenor I M; Statistical analysis: Santos I S; Obtaining financing: Lotufo P A, Barreto SM, Ribeiro AL, Bensenor I M; Writing of the manuscript: Santos I S, Bensenor I M; Critical revision of the manuscript for intellectual contente: Lotufo P A, Brant L, Pinto-Filho MM, Pereira AC, Barreto SM, Ribeiro AL, Thomas GN, Lip GYH.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potential Conflict of Interest</bold>
          </p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background:</title>
          <p>Atrial fibrillation or flutter (AFF) is the most common sustained cardiac arrhythmia. Limited data can be found on AFF epidemiology in South America.</p>
        </sec>
        <sec>
          <title>Objective:</title>
          <p>The present study sought to describe the clinical epidemiology of AFF and the use of stroke prevention medication in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) baseline assessment.</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>This study analyzed data from 13,260 ELSA-Brasil participants. AFF was defined according to ECG recording or by self-report. Logistic regression models were built to analyze factors associated with AFF. This study also analyzed if age and sex were associated with anticoagulant use for stroke prevention. Significance level was set at 5%.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>Median age was 51 years and 7,213 (54.4%) participants were women. AFF was present in 333 (2.5%) participants. Increasing age (odds ratio [OR]:1.05; 95% confidence interval [95%CI]: 1.04&#8211;1.07), hypertension (OR:1.44; 95%CI: 1.14&#8211;1.81), coronary heart disease (OR: 5.11; 95%CI: 3.85&#8211;6.79), heart failure (OR:7.37; 95%CI: 5.00&#8211;10.87), and rheumatic fever (OR:3.38; 95%CI: 2.28&#8211;5.02) were associated with AFF. From 185 participants with AFF and a CHA2DS2-VASc score &#8805;2, only 20 (10.8%) used anticoagulants (50.0% among those with AFF in the baseline ECG). Stroke prevention in this group was associated with a higher age (1.8% vs 17.7% in those aged &#8804; 54 and &#8805; 65 years, respectively; p=0.013). A trend towards a reduced anticoagulant use was observed in women (7.1% vs. 16.4% in women and men, respectively; p=0.055).</p>
        </sec>
        <sec>
          <title>Conclusions:</title>
          <p>At the ELSA-Brasil baseline, 2.5% of the participants had AFF. The lack of stroke prevention was common, which is an especially challenging point for healthcare in this setting.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Atrial Fibrillation</kwd>
        <kwd>Epidemiology</kwd>
        <kwd>Electrocardiography/methods</kwd>
        <kwd>Anticoagulants</kwd>
        <kwd>Longitudinal Study</kwd>
        <kwd>Aged</kwd>
        <kwd>Stroke</kwd>
        <kwd>Embolism</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source>Brazilian Ministry of Health (Science and Technology Department)</funding-source>
          <funding-source>Brazilian Ministry of Science and Technology (Financiadora de Estudos e Projetos and CNPq National Research Council)</funding-source>
          <award-id>01 06 0010.00 RS</award-id>
          <award-id>01 06 0212.00 BA</award-id>
          <award-id>01 06 0300.00 ES</award-id>
          <award-id>01 06 0278.00 MG</award-id>
          <award-id>01 06 0115.00 SP</award-id>
          <award-id>01 06 0071.00 RJ</award-id>
        </award-group>
        <funding-statement>This study was partially funded by the Brazilian Ministry of Health (Science and Technology Department) and the Brazilian Ministry of Science and Technology (Financiadora de Estudos e Projetos and CNPq National Research Council) (grants 01 06 0010.00 RS, 01 06 0212.00 BA, 01 06 0300.00 ES, 01 06 0278.00 MG, 01 06 0115.00 SP, 01 06 0071.00 RJ).</funding-statement>
      </funding-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>Atrial fibrillation is the most prevalent sustained cardiac arrythmia, with an approximate lifetime risk of 25%<xref ref-type="bibr" rid="B1"><sup>1</sup></xref> and an estimated 33.3 million prevalent cases globally.<xref ref-type="bibr" rid="B2"><sup>2</sup></xref> In S&#227;o Paulo, Brazil, a population-based study<xref ref-type="bibr" rid="B3"><sup>3</sup></xref> found that 3.2% of men and 2.0% of women aged 65 years or older had atrial fibrillation. Another large database of primary care patients aged 5 years or older (71% aged &#8805; 40 years) in Minas Gerais, Brazil,<xref ref-type="bibr" rid="B4"><sup>4</sup></xref> found that 2.4% of men and 1.3% of women had atrial fibrillation. Risk factors for atrial fibrillation or flutter include age, hypertension, diabetes, smoking, obesity, heart failure, valve disease, and myocardial infarction.<xref ref-type="bibr" rid="B5"><sup>5</sup></xref><sup>-</sup><xref ref-type="bibr" rid="B7"><sup>7</sup></xref></p>
        <p>Risk-based thromboembolic (including stroke) prevention therapy is recommended for patients with atrial fibrillation or flutter (AFF).<xref ref-type="bibr" rid="B8"><sup>8</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B9"><sup>9</sup></xref> The CHA<sub>2</sub>DS<sub>2</sub>-VASc scores<xref ref-type="bibr" rid="B10"><sup>10</sup></xref> are currently the main strategy to evaluate thromboembolic risk in these individuals.<xref ref-type="bibr" rid="B11"><sup>11</sup></xref> Oral antithrombotic therapy is recommended for those with a CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2.<xref ref-type="bibr" rid="B9"><sup>9</sup></xref></p>
        <p>Oral anticoagulation therapy, however, still represents a challenge in clinical practice,<xref ref-type="bibr" rid="B12"><sup>12</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B13"><sup>13</sup></xref> and a significant proportion of AFF disease burden is still associated with incident stroke,<xref ref-type="bibr" rid="B14"><sup>14</sup></xref> especially in women.<xref ref-type="bibr" rid="B15"><sup>15</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B16"><sup>16</sup></xref> This is even more important in Brazil, where although age-adjusted incident rates of stroke in the country have been falling in recent years,<xref ref-type="bibr" rid="B17"><sup>17</sup></xref> stroke mortality is still high when compared to other South American countries, with a higher impact on the less developed states of the nation.<xref ref-type="bibr" rid="B17"><sup>17</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B18"><sup>18</sup></xref></p>
        <p>The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) is a large multicenter cohort of individuals of 35 to 74 years of age in six Brazilian cities, whose aim is to study the incidence and associated factors for cardiovascular diseases and diabetes. The objectives of the present study are to describe the frequency of AFF at the ELSA-Brasil baseline and the use of stroke prevention medication in participants with AFF and a CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <sec>
          <title>Study setting and design</title>
          <p>The ELSA-Brasil design<xref ref-type="bibr" rid="B19"><sup>19</sup></xref> and cohort profile<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> are detailed elsewhere. Briefly, ELSA-Brasil is a cohort study of 15,105 civil servants from six Brazilian cities (S&#227;o Paulo, Belo Horizonte, Porto Alegre, Salvador, Rio de Janeiro, and Vitoria). Baseline assessments took place from August 2008 to December 2010 and included in-person interviews conducted by trained personnel, using clinical, laboratory, and imaging exams. Since baseline, all participants receive a yearly telephone follow-up contact. Four years after enrollment (2012-2014), all participants were invited to undergo onsite reassessment, which included new questionnaires, and clinical and laboratory evaluations. This reassessment was attended by 14,014 (92.8%) participants. Informed consent was obtained from all participants. Study protocol is in accordance to the Brazilian National Health Council 466/2012 resolution and was approved by the Institutional Review Board in each participating center.</p>
        </sec>
        <sec>
          <title>Atrial fibrillation or flutter diagnosis</title>
          <p>Methods to record electrocardiographic (ECG) tracings in ELSA-Brasil are detailed elsewhere.<xref ref-type="bibr" rid="B21"><sup>21</sup></xref> ECG at the baseline was performed in each center, using a Burdick Atria 6100 device, calibrated at 10 mm/mV and a speed of 25 mm/second. The recordings were transmitted to the reading center in Minas Gerais Investigation Center. Analyses followed the Glasgow system,<xref ref-type="bibr" rid="B22"><sup>22</sup></xref> and were coded according to the Minnesota Coding System. Selected codes (including AFF) were manually reviewed by trained staff. In addition, in the onsite reassessment conducted in 2012-2014, participants were asked the following question: <italic>&#8220;Did a physician ever say that you have/had atrial fibrillation?&#8221;</italic> Participants who answered &#8220;yes&#8221; to that question were asked <italic>&#8220;How old were you the first time a physician told you that you have/had atrial fibrillation?&#8221;</italic></p>
          <p>The present study defined AFF diagnosis at the baseline if the participant (a) had an ECG recording with AFF in the ELSA-Brasil baseline assessment (n=48) or (b) indicated that they have had an atrial fibrillation diagnosis at an age lower than his/her age upon ELSA-Brasil enrollment (n=285). Most analyses are presented for all AFF cases and according to each definition criterion.</p>
        </sec>
        <sec>
          <title>Study sample</title>
          <p>This study included ELSA-Brasil participants for whom AFF diagnosis at the baseline could be assessed. From the 15,105 ELSA-Brasil participants, 663 (4.4%) participants were excluded because they did not have a valid ECG reading at the baseline nor a valid answer for the AFF in the 2012-2014 onsite reassessment, and 1,182 (7.8%) were excluded because they had a valid ECG reading at the baseline without AFF, but without a valid answer for the AFF in the 2012-2014 onsite reassessment (impairing the assessment of paroxysmal AFF). Therefore, our main sample consisted of 13,260 (87.8%) participants.</p>
        </sec>
        <sec>
          <title>Other variables</title>
          <p>Age, sex, race, level of education, monthly family income, and smoking status were self-reported and stratified accordingly. Monthly income was transformed into US dollars (using a conversion rate of BRL 2.00=USD 1.00, based on the exchange rate at the baseline). Race was defined, as adopted by the Brazilian National Census, as Black, Mixed, White, Asian, and Native (Indigenous). The anthropometric measurements in the ELSA-Brasil were assessed using standard techniques,<xref ref-type="bibr" rid="B23"><sup>23</sup></xref> and body mass index (BMI) was calculated by dividing weight by height squared. BMI was categorized as normal (&lt; 25 kg/m<sup>2</sup>), overweight (&#8805; 25 kg/m<sup>2</sup> and &lt; 30 kg/m<sup>2</sup>), and obese (&#8805; 30 kg/m<sup>2</sup>). Hypertension was defined as the report of the use of medications to treat hypertension, a systolic blood pressure &#8805; 140 mmHg, or a diastolic blood pressure &#8805; 90 mmHg upon ELSA-Brasil baseline assessment. Diabetes was defined as a medical history of diabetes mellitus, the report of the use of medications to treat diabetes mellitus, a fasting serum glucose &#8805; 126 mg/dl, HbA1c levels &#8805; 6.5%, or a 2-h oral glucose tolerance test &#8805; 200 mg/dl. Dyslipidemia was defined as the report of the use of lipid lowering treatment or an LDL cholesterol level &#8805; 130 mg/dl. Abdominal obesity was defined as a waist circumference &gt; 88 cm in women and &gt; 102 cm in men. Previous medical diagnosis of heart failure, stroke, rheumatic fever, and thromboembolic event were assessed by self-report. Coronary artery disease was defined by a previous medical diagnosis of myocardial infarction or angina pectoris or by previous coronary revascularization. Ankle and brachial pressure measurements for ankle-brachial index (ABI) calculation is described in detail in Miname et al.<xref ref-type="bibr" rid="B24"><sup>24</sup></xref>. According to the findings of that study, ABI was calculated as the ratio between the minimum leg systolic pressure and the maximum arm systolic pressure for higher sensitivity. Peripheral artery disease was defined as an ABI &lt; 1.0.<xref ref-type="bibr" rid="B24"><sup>24</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B25"><sup>25</sup></xref> For medication use data, other than questionnaires, patients were asked to bring to the baseline assessment of all medications and prescription drugs they were currently taking.<xref ref-type="bibr" rid="B26"><sup>26</sup></xref> Use of anticoagulants was defined by using a medication under Anatomical Therapeutic Chemical (ATC) codes B01AA or B01AB. Use of antiplatelet agents was defined by using a medication under ATC code B01AC. For participants without previous coronary artery disease or stroke, 10-year atherosclerotic cardiovascular disease (ASCVD) risk was calculated according to the 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk.<xref ref-type="bibr" rid="B27"><sup>27</sup></xref> CHA<sub>2</sub>DS<sub>2</sub>-VASc scores were calculated according to Lip et al.<xref ref-type="bibr" rid="B11"><sup>11</sup></xref> and categorized as 0 or 1 point, 2 or 3 points, and &#8805; 4 points.</p>
        </sec>
        <sec>
          <title>Statistical analysis</title>
          <p>Categorical variables are presented as counts and proportions, and were compared using Chi-squared or Fisher's exact tests. Continuous variables (age, body-mass index, ankle-brachial index and 10-year ASCVD risk) have non-normal distribution (p&lt;0.001 for all, using the Anderson-Darling test), and are presented as medians and interquartile ranges and compared among groups using Mann-Whitney U tests. Crude and age- and sex-adjusted logistic regression models were built to analyze if AFF diagnosis at the ELSA-Brasil baseline was associated with age, sex, race, level of education, monthly income, smoking status, hypertension, diabetes and dyslipidemia diagnoses, BMI, abdominal obesity, peripheral artery disease, coronary heart disease, heart failure, stroke, rheumatic fever, and a 10-year CHD risk &gt; 10%. Binary logistic regression was used to analyze the association with all AFF cases, while multinomial logistic regression was used to analyze the association with AFF cases according to each definition criterion (by ECG recording or self-report) in separate. The significance level was set at 5%, and R software, version 3.5.1, was used in all analyses.</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>Among the 13,260 participants included in the analyses, 333 (2.5%) had AFF at the ELSA-Brasil baseline, 176/7,213 (2.4%) women and 157/6,047 (2.6%) men. According to age strata, the frequency of AFF diagnosis was 1.2%, 2.2%, 2.9%, and 5.4% for ages &lt; 45, 45-54, 55-64, and &gt; 64 years, respectively. <xref ref-type="table" rid="t5">Table 1</xref> shows the study's sample characteristics, according to the presence of AFF diagnosis at the ELSA-Brasil baseline. Individuals of non-white races represented 47.9% of the sample, and most participants had a college degree or higher education.</p>
        <table-wrap id="t5">
          <label>Table 1</label>
          <caption>
            <title>Study sample characteristics according to the presence of atrial fibrillation or flutter in the ELSA-Brasil baseline</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="13%">
              <col width="1%"/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle" rowspan="2" colspan="2"/>
                <th align="center" rowspan="2" valign="middle">No atrial fibrillation or flutter (N=12,927)</th>
                <th align="center" colspan="3" valign="middle">Atrial fibrillation or flutter</th>
                <th align="left" valign="middle"/>
                <th align="left" valign="middle"/>
              </tr>
              <tr>
                <th align="center" valign="middle">By ECG recording (N=48)</th>
                <th align="center" valign="middle">By self-report only (N=285)</th>
                <th align="center" valign="middle">All AFF cases (N=333)</th>
                <th align="center" valign="middle">Total (N=13,260)</th>
                <th align="center" valign="middle">p-value</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle" colspan="2">Age (years; median [P25 - P75])</td>
                <td align="center" valign="middle">51.0 [45.0 &#8211; 58.0]</td>
                <td align="center" valign="middle">61.5 [56.0 &#8211; 71.0]</td>
                <td align="center" valign="middle">54.0 [49.0 &#8211; 62.0]</td>
                <td align="center" valign="middle">56.0 [49.0 &#8211; 63.0]</td>
                <td align="center" valign="middle">51.0 [45.0 &#8211; 58.0]</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN13">&#8225;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Female sex (N (%))</td>
                <td align="center" valign="middle">7.037 (54.4%)</td>
                <td align="center" valign="middle">18 (37.5%)</td>
                <td align="center" valign="middle">158 (55.4%)</td>
                <td align="center" valign="middle">176 (52.9%)</td>
                <td align="center" valign="middle">7.213 (54.4%)</td>
                <td align="center" valign="middle">0.61 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Race (N (%))</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">White</td>
                <td align="center" valign="middle">6.652 (52.1%)</td>
                <td align="center" valign="middle">29 (61.7%)</td>
                <td align="center" valign="middle">154 (54.6%)</td>
                <td align="center" valign="middle">183 (55.6%)</td>
                <td align="center" valign="middle">6.835 (52.1%)</td>
                <td align="center" rowspan="4" valign="middle">0.039 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Mixed</td>
                <td align="center" valign="middle">3.608 (28.2%)</td>
                <td align="center" valign="middle">11 (23.4%)</td>
                <td align="center" valign="middle">74 (26.2%)</td>
                <td align="center" valign="middle">85 (25.8%)</td>
                <td align="center" valign="middle">3.693 (28.2%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Black</td>
                <td align="center" valign="middle">2.069 (16.2%)</td>
                <td align="center" valign="middle">7 (14.9%)</td>
                <td align="center" valign="middle">35 (12.4%)</td>
                <td align="center" valign="middle">42 (12.8%)</td>
                <td align="center" valign="middle">2.111 (16.1%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Other</td>
                <td align="center" valign="middle">449 (3.5%)</td>
                <td align="center" valign="middle">0 (0.0%)</td>
                <td align="center" valign="middle">19 (6.7%)</td>
                <td align="center" valign="middle">19 (5.8%)</td>
                <td align="center" valign="middle">468 (3.6%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Level of education (N (%))</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Up to incomplete high school</td>
                <td align="center" valign="middle">1.529 (11.8%)</td>
                <td align="center" valign="middle">13 (27.1%)</td>
                <td align="center" valign="middle">34 (11.9%)</td>
                <td align="center" valign="middle">47 (14.1%)</td>
                <td align="center" valign="middle">1.576 (11.9%)</td>
                <td align="center" rowspan="3" valign="middle">0.10 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">High school</td>
                <td align="center" valign="middle">4.443 (34.4%)</td>
                <td align="center" valign="middle">12 (25.0%)</td>
                <td align="center" valign="middle">85 (29.8%)</td>
                <td align="center" valign="middle">97 (29.1%)</td>
                <td align="center" valign="middle">4.540 (34.2%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">College or above</td>
                <td align="center" valign="middle">6.955 (53.8%)</td>
                <td align="center" valign="middle">23 (47.9%)</td>
                <td align="center" valign="middle">166 (58.2%)</td>
                <td align="center" valign="middle">189 (56.8%)</td>
                <td align="center" valign="middle">7.144 (53.9%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Monthly income (N (%))</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">&lt;USD1245</td>
                <td align="center" valign="middle">3.357 (26.1%)</td>
                <td align="center" valign="middle">15 (31.2%)</td>
                <td align="center" valign="middle">58 (20.4%)</td>
                <td align="center" valign="middle">73 (22.0%)</td>
                <td align="center" valign="middle">3.430 (26.0%)</td>
                <td align="center" rowspan="3" valign="middle">0.001 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">USD1245-3319</td>
                <td align="center" valign="middle">5.679 (44.1%)</td>
                <td align="center" valign="middle">12 (25.0%)</td>
                <td align="center" valign="middle">115 (40.5%)</td>
                <td align="center" valign="middle">127 (38.3%)</td>
                <td align="center" valign="middle">5.806 (43.9%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">&#8805; USD3320</td>
                <td align="center" valign="middle">3.845 (29.9%)</td>
                <td align="center" valign="middle">21 (43.8%)</td>
                <td align="center" valign="middle">111 (39.1%)</td>
                <td align="center" valign="middle">132 (39.8%)</td>
                <td align="center" valign="middle">3.977 (30.1%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Smoking status (N (%))</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Never smoked</td>
                <td align="center" valign="middle">7.467 (57.8%)</td>
                <td align="center" valign="middle">29 (60.4%)</td>
                <td align="center" valign="middle">161 (56.5%)</td>
                <td align="center" valign="middle">190 (57.1%)</td>
                <td align="center" valign="middle">7.657 (57.7%)</td>
                <td align="center" rowspan="3" valign="middle">0.75 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Past smoker</td>
                <td align="center" valign="middle">3.822 (29.6%)</td>
                <td align="center" valign="middle">13 (27.1%)</td>
                <td align="center" valign="middle">91 (31.9%)</td>
                <td align="center" valign="middle">104 (31.2%)</td>
                <td align="center" valign="middle">3.926 (29.6%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Current smoker</td>
                <td align="center" valign="middle">1.637 (12.7%)</td>
                <td align="center" valign="middle">6 (12.5%)</td>
                <td align="center" valign="middle">33 (11.6%)</td>
                <td align="center" valign="middle">39 (11.7%)</td>
                <td align="center" valign="middle">1.676 (12.6%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Hypertension (N (%))</td>
                <td align="center" valign="middle">4.463 (34.5%)</td>
                <td align="center" valign="middle">30 (62.5%)</td>
                <td align="center" valign="middle">136 (47.7%)</td>
                <td align="center" valign="middle">166 (49.8%)</td>
                <td align="center" valign="middle">4.629 (34.9%)</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Diabetes (N (%))</td>
                <td align="center" valign="middle">2.438 (18.9%)</td>
                <td align="center" valign="middle">15 (31.2%)</td>
                <td align="center" valign="middle">66 (23.2%)</td>
                <td align="center" valign="middle">81 (24.3%)</td>
                <td align="center" valign="middle">2.519 (19.0%)</td>
                <td align="center" valign="middle">0.015 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Dyslipidemia (N (%))</td>
                <td align="center" valign="middle">7.489 (58.0%)</td>
                <td align="center" valign="middle">27 (56.2%)</td>
                <td align="center" valign="middle">188 (66.0%)</td>
                <td align="center" valign="middle">215 (64.6%)</td>
                <td align="center" valign="middle">7.704 (58.1%)</td>
                <td align="center" valign="middle">0.019 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Body-mass index (kg/m2; median [P25 - P75])</td>
                <td align="center" valign="middle">26.3 [23.7 &#8211; 29.5]</td>
                <td align="center" valign="middle">27.4 [25.4 &#8211; 30.4]</td>
                <td align="center" valign="middle">26.2 [23.9 &#8211; 30.2]</td>
                <td align="center" valign="middle">26.5 [24.1 &#8211; 30.3]</td>
                <td align="center" valign="middle">26.3 [23.7 &#8211; 29.6]</td>
                <td align="center" valign="middle">0.35 <xref ref-type="table-fn" rid="TFN13">&#8225;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Body-mass index classification (N (%))</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Normal</td>
                <td align="center" valign="middle">4.791 (37.1%)</td>
                <td align="center" valign="middle">10 (20.8%)</td>
                <td align="center" valign="middle">104 (36.5%)</td>
                <td align="center" valign="middle">114 (34.2%)</td>
                <td align="center" valign="middle">4.905 (37.0%)</td>
                <td align="center" rowspan="3" valign="middle">0.057 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Overweight</td>
                <td align="center" valign="middle">5.238 (40.5%)</td>
                <td align="center" valign="middle">24 (50.0%)</td>
                <td align="center" valign="middle">102 (35.8%)</td>
                <td align="center" valign="middle">126 (37.8%)</td>
                <td align="center" valign="middle">5.364 (40.5%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Obese</td>
                <td align="center" valign="middle">2.892 (22.4%)</td>
                <td align="center" valign="middle">14 (29.2%)</td>
                <td align="center" valign="middle">79 (27.7%)</td>
                <td align="center" valign="middle">93 (27.9%)</td>
                <td align="center" valign="middle">2.985 (22.5%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Abdominal obesity (N (%))</td>
                <td align="center" valign="middle">4.656 (36.0%)</td>
                <td align="center" valign="middle">20 (41.7%)</td>
                <td align="center" valign="middle">113 (39.6%)</td>
                <td align="center" valign="middle">133 (39.9%)</td>
                <td align="center" valign="middle">4.789 (36.1%)</td>
                <td align="center" valign="middle">0.16 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Ankle-brachial index (median [P25 - P75])</td>
                <td align="center" valign="middle">1.18 [1.12 &#8211; 1.23]</td>
                <td align="center" valign="middle">1.13 [1.04 &#8211; 1.20]</td>
                <td align="center" valign="middle">1.17 [1.11 &#8211; 1.24]</td>
                <td align="center" valign="middle">1.16 [1.10 &#8211; 1.23]</td>
                <td align="center" valign="middle">1.18 [1.12 &#8211; 1.23]</td>
                <td align="center" valign="middle">0.008 <xref ref-type="table-fn" rid="TFN13">&#8225;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Peripheral artery disease (N (%))</td>
                <td align="center" valign="middle">403 (3.1%)</td>
                <td align="center" valign="middle">6 (12.5%)</td>
                <td align="center" valign="middle">12 (4.2%)</td>
                <td align="center" valign="middle">18 (5.4%)</td>
                <td align="center" valign="middle">421 (3.2%)</td>
                <td align="center" valign="middle">0.025 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Use of anticoagulants (N (%))</td>
                <td align="center" valign="middle">37 (0.3%)</td>
                <td align="center" valign="middle">19 (39.6%)</td>
                <td align="center" valign="middle">5 (1.8%)</td>
                <td align="center" valign="middle">24 (7.2%)</td>
                <td align="center" valign="middle">61 (0.5%)</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Use of antiplatelet agents (N (%))</td>
                <td align="center" valign="middle">706 (5.5%)</td>
                <td align="center" valign="middle">7 (14.6%)</td>
                <td align="center" valign="middle">45 (15.8%)</td>
                <td align="center" valign="middle">52 (15.6%)</td>
                <td align="center" valign="middle">758 (5.7%)</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Use of anticoagulant and/or antiplatelet agents (N (%))</td>
                <td align="center" valign="middle">741 (5.7%)</td>
                <td align="center" valign="middle">26 (54.2%)</td>
                <td align="center" valign="middle">50 (17.5%)</td>
                <td align="center" valign="middle">76 (22.8%)</td>
                <td align="center" valign="middle">817 (6.2%)</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Coronary artery disease (N (%))</td>
                <td align="center" valign="middle">536 (4.2%)</td>
                <td align="center" valign="middle">7 (14.6%)</td>
                <td align="center" valign="middle">67 (23.5%)</td>
                <td align="center" valign="middle">74 (22.2%)</td>
                <td align="center" valign="middle">610 (4.6%)</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Heart failure (N (%))</td>
                <td align="center" valign="middle">160 (1.2%)</td>
                <td align="center" valign="middle">10 (20.8%)</td>
                <td align="center" valign="middle">26 (9.2%)</td>
                <td align="center" valign="middle">36 (10.8%)</td>
                <td align="center" valign="middle">196 (1.5%)</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Stroke (N (%))</td>
                <td align="center" valign="middle">153 (1.2%)</td>
                <td align="center" valign="middle">1 (2.1%)</td>
                <td align="center" valign="middle">7 (2.5%)</td>
                <td align="center" valign="middle">8 (2.4%)</td>
                <td align="center" valign="middle">161 (1.2%)</td>
                <td align="center" valign="middle">0.067 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Rheumatic fever (N (%))</td>
                <td align="center" valign="middle">352 (2.7%)</td>
                <td align="center" valign="middle">7 (14.6%)</td>
                <td align="center" valign="middle">23 (8.1%)</td>
                <td align="center" valign="middle">30 (9.0%)</td>
                <td align="center" valign="middle">382 (2.9%)</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Thromboembolic event (N (%))</td>
                <td align="center" valign="middle">198 (1.5%)</td>
                <td align="center" valign="middle">4 (8.3%)</td>
                <td align="center" valign="middle">5 (1.8%)</td>
                <td align="center" valign="middle">9 (2.7%)</td>
                <td align="center" valign="middle">207 (1.6%)</td>
                <td align="center" valign="middle">0.11 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">10-year ASCVD risk (median [P25 - P75])</td>
                <td align="center" valign="middle">2.8% [1.1% &#8722;7.1%]</td>
                <td align="center" valign="middle">11.8% [4.2% &#8211; 18.5%]</td>
                <td align="center" valign="middle">2.7% [1.4% &#8211; 7.9%]</td>
                <td align="center" valign="middle">3.4% [1.5% - 10.4%]</td>
                <td align="center" valign="middle">2.8% [1.1% &#8211; 7.2%]</td>
                <td align="center" valign="middle">0.001 <xref ref-type="table-fn" rid="TFN13">&#8225;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">10-year ASCVD risk &gt; 10% (N (%))</td>
                <td align="center" valign="middle">2075 (16.9%)</td>
                <td align="center" valign="middle">23 (57.5%)</td>
                <td align="center" valign="middle">41 (19.2%)</td>
                <td align="center" valign="middle">64 (25.2%)</td>
                <td align="center" valign="middle">2139 (17.1%)</td>
                <td align="center" valign="middle">0.001 <xref ref-type="table-fn" rid="TFN12">&#8224;</xref></td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN11">
              <p>The 10-year ASCVD risk is defined only in participants without prior coronary artery disease or stroke. AFF: Atrial fibrillation or flutter. ASCVD: Atherosclerotic cardiovascular disease. P-values are presented for the comparison between the no atrial fibrillation or flutter (N=12,927) and all AFF case (N=333) groups, using</p>
            </fn>
            <fn id="TFN12">
              <label>&#8224;</label>
              <p>Chi-squared or</p>
            </fn>
            <fn id="TFN13">
              <label>&#8225;</label>
              <p>Mann-Whitney U tests</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p><xref ref-type="table" rid="t6">Table 2</xref> shows crude and age- and sex-adjusted odds ratios for the association with the presence of AFF diagnosis at the ELSA-Brasil baseline. Considering all AFF cases, higher age (p&lt;0.001), higher income (p=0.044), hypertension (p=0.002), coronary heart disease (p&lt;0.001), heart failure (p&lt;0.001), and rheumatic fever diagnoses (p&lt;0.001) were positively associated with AFF in the adjusted models. Restricting the cases to the 48 participants who presented AFF in the baseline ECG, higher age (p&lt;0.001), male sex (p=0.037), peripheral artery disease (p=0.026), heart failure (p&lt;0.001), and rheumatic fever diagnoses (p&lt;0.001) were positively associated with AFF in the adjusted models. Supplemental <xref ref-type="table" rid="t5">Table 1</xref> shows crude model results for these associations.</p>
        <table-wrap id="t6">
          <label>Table 2</label>
          <caption>
            <title>Age- and sex-adjusted odds ratios (95% CIs) for the association with atrial fibrillation or flutter in the ELSA-Brasil baseline</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="24%">
              <col width="1%"/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle" colspan="2"/>
                <th align="left" valign="middle"/>
                <th align="center" valign="middle">Atrial fibrillation or flutter</th>
                <th align="left" valign="middle"/>
              </tr>
              <tr>
                <th align="left" valign="middle" colspan="2">Variable</th>
                <th align="center" valign="middle">By ECG recording (N=48)</th>
                <th align="center" valign="middle">By self-report only (N=285)</th>
                <th align="center" valign="middle">All AFF cases (N=333)</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle" colspan="2">Age (one-year increase)</td>
                <td align="center" valign="middle">1.12 [1.09 &#8211; 1.16]</td>
                <td align="center" valign="middle">1.04 (1.03 &#8211; 1.06) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
                <td align="center" valign="middle">1.05 (1.04 &#8211; 1.07) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Female sex</td>
                <td align="center" valign="middle">0.53 (0.30 &#8211; 0.96) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
                <td align="center" valign="middle">1.05 (0.83 &#8211; 1.33)</td>
                <td align="center" valign="middle">0.95 (0.76 &#8211; 1.18)</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Race</bold>
                  <xref ref-type="table-fn" rid="TFN14">*</xref>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">White</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Mixed</td>
                <td align="center" valign="middle">0.92 (0.45 &#8211; 1.85)</td>
                <td align="center" valign="middle">0.95 (0.72 &#8211; 1.26)</td>
                <td align="center" valign="middle">0.94 (0.72 &#8211; 1.22)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Black</td>
                <td align="center" valign="middle">(0.43 &#8211; 2.27)</td>
                <td align="center" valign="middle">0.76 (0.52 &#8211; 1.10)</td>
                <td align="center" valign="middle">0.79 (0.56 &#8211; 1.10)</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Level of education</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Up to incomplete high school</td>
                <td align="center" valign="middle">1.73 (0.87 &#8211; 3.43)</td>
                <td align="center" valign="middle">0.79 (0.54 &#8211; 1.15)</td>
                <td align="center" valign="middle">0.92 (0.66 &#8211; 1.27)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">High school</td>
                <td align="center" valign="middle">1.12 (0.55 &#8211; 2.28)</td>
                <td align="center" valign="middle">0.86 (0.66 &#8211; 1.12)</td>
                <td align="center" valign="middle">0.88 (0.69 &#8211; 1.13)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">College or above</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Monthly income</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">&lt;USD1245</td>
                <td align="center" valign="middle">1.27 (0.64 &#8211; 2.51)</td>
                <td align="center" valign="middle">0.67 (0.48 &#8211; 0.93) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
                <td align="center" valign="middle">0.74 (0.55 &#8211; 0.99) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">USD1245-3319</td>
                <td align="center" valign="middle">0.61 (0.29 &#8211; 1.25)</td>
                <td align="center" valign="middle">0.80 (0.61 &#8211; 1.04)</td>
                <td align="center" valign="middle">0.77 (0.60 &#8211; 0.99) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">&#8805; USD3320 (N (%))</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Smoking status</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Never smoked</td>
                <td align="center" valign="middle">(Reference)</td>
                <td align="center" valign="middle">(Reference)</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Past smoker</td>
                <td align="center" valign="middle">0.57 (0.29 - 1.12)</td>
                <td align="center" valign="middle">0.98 (0.75 &#8211; 1.27)</td>
                <td align="center" valign="middle">0.90 (0.70 &#8211; 1.16)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Current smoker</td>
                <td align="center" valign="middle">1.00 (0.42 &#8211; 2.40)</td>
                <td align="center" valign="middle">0.93 (0.64 &#8211; 1.36)</td>
                <td align="center" valign="middle">0.93 (0.65 &#8211; 1.32)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Hypertension</td>
                <td align="center" valign="middle">1.65 (0.89 &#8211; 3.03)</td>
                <td align="center" valign="middle">1.41 (1.10 &#8211; 1.81) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
                <td align="center" valign="middle">1.44 (1.14 &#8211; 1.81) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Diabetes</td>
                <td align="center" valign="middle">1.11 (0.60 &#8211; 2.08)</td>
                <td align="center" valign="middle">1.06 (0.80 &#8211; 1.41)</td>
                <td align="center" valign="middle">1.07 (0.82 &#8211; 1.39)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Dyslipidemia</td>
                <td align="center" valign="middle">0.66 (0.37 &#8211; 1.18)</td>
                <td align="center" valign="middle">1.22 (0.95 &#8211; 1.57)</td>
                <td align="center" valign="middle">1.10 (0.87 &#8211; 1.39)</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Body-mass index classification</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Normal</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
                <td align="center" valign="middle">1.0 (Reference)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Overweight</td>
                <td align="center" valign="middle">1.88 (0.90 &#8211; 3.95)</td>
                <td align="center" valign="middle">0.85 (0.64 &#8211; 1.12)</td>
                <td align="center" valign="middle">0.94 (0.72 &#8211; 1.21)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Obese</td>
                <td align="center" valign="middle">2.21 (0.97 &#8211; 5.00)</td>
                <td align="center" valign="middle">1.19 (0.88 &#8211; 1.60)</td>
                <td align="center" valign="middle">1.27 (0.96 &#8211; 1.68)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Abdominal obesity</td>
                <td align="center" valign="middle">1.15 (0.63 &#8211; 2.08)</td>
                <td align="center" valign="middle">1.04 (0.81 &#8211; 1.33)</td>
                <td align="center" valign="middle">1.05 (0.83 &#8211; 1.32)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Peripheral artery disease</td>
                <td align="center" valign="middle">2.72 (1.13 &#8211; 6.54) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
                <td align="center" valign="middle">1.16 (0.64 &#8211; 2.10)</td>
                <td align="center" valign="middle">1.44 (0.88 &#8211; 2.35)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Coronary artery disease</td>
                <td align="center" valign="middle">1.87 (0.81 &#8211; 4.28)</td>
                <td align="center" valign="middle">5.99 (4.44 &#8211; 8.09) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
                <td align="center" valign="middle">5.11 (3.85 &#8211; 6.79) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Heart failure</td>
                <td align="center" valign="middle">11.67 (5.58 &#8211; 24.40) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
                <td align="center" valign="middle">6.51 (4.19 &#8211; 10.11) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
                <td align="center" valign="middle">7.37 (5.00 &#8211; 10.87) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Stroke</td>
                <td align="center" valign="middle">0.90 (0.12 &#8211; 6.67)</td>
                <td align="center" valign="middle">1.65 (0.76 &#8211; 3.57)</td>
                <td align="center" valign="middle">1.51 (0.73 &#8211; 3.13)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">Rheumatic fever</td>
                <td align="center" valign="middle">5.75 (2.55 &#8211; 12.98) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
                <td align="center" valign="middle">3.02 (1.94 &#8211; 4.70) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
                <td align="center" valign="middle">3.38 (2.28 &#8211; 5.02) <xref ref-type="table-fn" rid="TFN15">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">10-year ASCVD risk &gt; 10%</td>
                <td align="center" valign="middle">1.56 (0.63 &#8211; 3.85)</td>
                <td align="center" valign="middle">0.78 (0.50 &#8211; 1.21)</td>
                <td align="center" valign="middle">0.95 (0.65 &#8211; 1.40)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN14">
              <label>*</label>
              <p>The small proportion of individuals of other races in the sample precluded estimation. AFF: Atrial fibrillation or flutter. ASCVD: Atherosclerotic cardiovascular disease. Odds ratios and p-values were obtained from logistic regression models adjusted for age and sex.</p>
            </fn>
            <fn id="TFN15">
              <label>&#8224;</label>
              <p>p&lt;0.05.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>CHA<sub>2</sub>DS<sub>2</sub>-VASc scores could be calculated for 331 (99.4%) of the 333 participants with AFF diagnosis at the baseline (<xref ref-type="table" rid="t7">Table 3</xref>). As expected, individuals with higher CHA<sub>2</sub>DS<sub>2</sub>-VASc scores were older (p&lt;0.001), were more likely to be women (p=0.002), and presented a higher cardiovascular risk (p&lt;0.001). Among 185 participants with a CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2, only 20 (10.8%) received anticoagulant therapy (16/32; 50.0% when restricting cases to the 48 participants who presented AFF in the baseline ECG).</p>
        <table-wrap id="t7">
          <label>Table 3</label>
          <caption>
            <title>Characteristics of participants with atrial fibrillation or flutter in the ELSA-Brasil baseline according to CHA<sub>2</sub>DS<sub>2</sub>-VASc scores</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="12%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle"/>
                <th align="center" colspan="7" valign="middle">Atrial fibrillation or flutter</th>
              </tr>
              <tr>
                <th align="left" valign="middle"/>
                <th align="center" colspan="2" valign="middle">By ECG recording</th>
                <th align="center" valign="middle" colspan="2" style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">By self-report only</th>
                <th align="center" valign="middle" colspan="3" style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">All AFF cases</th>
              </tr>
              <tr>
                <th align="left" valign="middle"/>
                <th align="center" valign="middle">CHA<sub>2</sub>DS<sub>2</sub>-VASc score &lt; 2 (N=16)</th>
                <th align="center" valign="middle">CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2 (N=32)</th>
                <th align="center" valign="middle">CHA<sub>2</sub>DS<sub>2</sub>-VASc score &lt; 2 (N=130)</th>
                <th align="center" valign="middle">CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2 (N=153)</th>
                <th align="center" valign="middle">CHA<sub>2</sub>DS<sub>2</sub>-VASc score &lt; 2 (N=146)</th>
                <th align="center" valign="middle">CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2 (N=185)</th>
                <th align="center" valign="middle">p-value</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle">Age (years; median [P25 - P75])</td>
                <td align="center" valign="middle">56.0 [49.5 &#8211; 61.2]</td>
                <td align="center" valign="middle">67.5 [58.0 &#8211; 71.2]</td>
                <td align="center" valign="middle">49.5 [45.0 &#8211; 56.0]</td>
                <td align="center" valign="middle">59.0 [53.0 &#8211; 66.0]</td>
                <td align="center" valign="middle">50.0 [45.0 &#8211; 57.0]</td>
                <td align="center" valign="middle">60.0 [53.0 &#8211; 68.0]</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN18">&#8225;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle">Female sex (N (%))</td>
                <td align="center" valign="middle">3 (18.8%)</td>
                <td align="center" valign="middle">15 (46.9%)</td>
                <td align="center" valign="middle">60 (46.2%)</td>
                <td align="center" valign="middle">97 (63.4%)</td>
                <td align="center" valign="middle">63 (43.2%)</td>
                <td align="center" valign="middle">112 (60.5%)</td>
                <td align="center" valign="middle">0.002 <xref ref-type="table-fn" rid="TFN17">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle">Coronary artery disease (N (%))</td>
                <td align="center" valign="middle">0 (0.0%)</td>
                <td align="center" valign="middle">7 (21.9%)</td>
                <td align="center" valign="middle">2 (1.5%)</td>
                <td align="center" valign="middle">64 (41.8%)</td>
                <td align="center" valign="middle">2 (1.4%)</td>
                <td align="center" valign="middle">71 (38.4%)</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN17">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle">Stroke (N (%))</td>
                <td align="center" valign="middle">0 (0.0%)</td>
                <td align="center" valign="middle">1 (3.1%)</td>
                <td align="center" valign="middle">0 (0.0%)</td>
                <td align="center" valign="middle">7 (4.6%)</td>
                <td align="center" valign="middle">0 (0.0%)</td>
                <td align="center" valign="middle">8 (4.3%)</td>
                <td align="center" valign="middle">0.010 <xref ref-type="table-fn" rid="TFN19">&#165;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle">10-year ASCVD risk &gt; 10% (N (%))</td>
                <td align="center" valign="middle">7 (43.8%)</td>
                <td align="center" valign="middle">16 (66.7%)</td>
                <td align="center" valign="middle">15 (11.7%)</td>
                <td align="center" valign="middle">26 (30.6%)</td>
                <td align="center" valign="middle">22 (15.3%)</td>
                <td align="center" valign="middle">42 (38.5%)</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN17">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle">Prior ASCVD or 10-year ASCVD risk &gt; 10%</td>
                <td align="center" valign="middle">7 (43.8%)</td>
                <td align="center" valign="middle">24 (75.0%)</td>
                <td align="center" valign="middle">17 (13.1%)</td>
                <td align="center" valign="middle">94 (61.4%)</td>
                <td align="center" valign="middle">24 (16.4%)</td>
                <td align="center" valign="middle">118 (63.8%)</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN17">&#8224;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle">Use of anticoagulants (N (%))</td>
                <td align="center" valign="middle">3 (18.8%)</td>
                <td align="center" valign="middle">16 (50.0%)</td>
                <td align="center" valign="middle">1 (0.8%)</td>
                <td align="center" valign="middle">4 (2.6%)</td>
                <td align="center" valign="middle">4 (2.7%)</td>
                <td align="center" valign="middle">20 (10.8%)</td>
                <td align="center" valign="middle">0.005 <xref ref-type="table-fn" rid="TFN19">&#165;</xref></td>
              </tr>
              <tr>
                <td align="left" valign="middle">Use of antiplatelet agents (N (%))</td>
                <td align="center" valign="middle">2 (12.5%)</td>
                <td align="center" valign="middle">5 (15.6%)</td>
                <td align="center" valign="middle">2 (1.5%)</td>
                <td align="center" valign="middle">43 (28.1%)</td>
                <td align="center" valign="middle">4 (2.7%)</td>
                <td align="center" valign="middle">48 (25.9%)</td>
                <td align="center" valign="middle">&lt;0.001 <xref ref-type="table-fn" rid="TFN17">&#8224;</xref></td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN16">
              <p>The 10-year ASCVD risk is defined only in participants without prior coronary artery disease or stroke. AFF: Atrial fibrillation or flutter. ASCVD: Atherosclerotic cardiovascular disease. P-values are presented for the comparison between the CHA2DS2-VASc score &lt; 2 (N=146) and the CHA2DS2-VASc score &#8805; 2 (N=185) groups among all AFF cases using</p>
            </fn>
            <fn id="TFN17">
              <label>&#8224;</label>
              <p>Chi-squared,</p>
            </fn>
            <fn id="TFN18">
              <label>&#8225;</label>
              <p>Mann-Whitney U or</p>
            </fn>
            <fn id="TFN19">
              <label>&#165;</label>
              <p>Fisher's exact tests</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p><xref ref-type="table" rid="t8">Table 4</xref> shows the prevalence of oral anticoagulant use in participants with AFF and a CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2, according to age and sex. Considering all AFF cases, anticoagulant use was more frequent in those with a higher age (p=0.013), and a trend towards lower anticoagulant use in women (p=0.055). Supplemental <xref ref-type="table" rid="t6">table 2</xref> shows that the frequency of anticoagulant use in men was numerically higher than in women for all age strata, but no significant differences were discovered when analyzing all AFF cases nor when restricting them to those participants who presented with AFF in the baseline ECG.</p>
        <table-wrap id="t8">
          <label>Table 4</label>
          <caption>
            <title>Frequency of anticoagulant use according to age and sex in participants with atrial fibrillation or flutter and a CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2 in the ELSA-Brasil baseline</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="19%">
              <col width="1%"/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle" colspan="2"/>
                <th align="left" valign="middle"/>
                <th align="left" valign="middle" colspan="2">Atrial fibrillation or flutter and a CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2</th>
                <th align="left" valign="middle"/>
              </tr>
              <tr>
                <th align="left" valign="middle" colspan="2">Variable</th>
                <th align="center" valign="middle">By ECG recording (N=32)</th>
                <th align="center" valign="middle">By self-report only (N=153)</th>
                <th align="center" valign="middle">All AFF cases (N=185)</th>
                <th align="center" valign="middle">p-value</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Age (years)</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="center" rowspan="4" valign="middle">0.013</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">&#8804; 54</td>
                <td align="center" valign="middle">1 / 3 (33.3%)</td>
                <td align="center" valign="middle">0 / 52 (0.0%)</td>
                <td align="center" valign="middle">1 / 55 (1.8%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">55 &#8211; 64</td>
                <td align="center" valign="middle">6 / 11 (54.5%)</td>
                <td align="center" valign="middle">2 / 57 (3.5%)</td>
                <td align="center" valign="middle">8 / 68 (11.8%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">&#8805; 65</td>
                <td align="center" valign="middle">9 / 18 (50.0%)</td>
                <td align="center" valign="middle">2 / 44 (4.5%)</td>
                <td align="center" valign="middle">11 / 62 (17.7%)</td>
              </tr>
              <tr>
                <td align="left" colspan="2" valign="middle">
                  <bold>Sex</bold>
                </td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="center" rowspan="3" valign="middle">0.055</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Male</td>
                <td align="center" valign="middle">9 / 17 (52.9%)</td>
                <td align="center" valign="middle">3 / 56 (5.4%)</td>
                <td align="center" valign="middle">12 / 73 (16.4%)</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Female</td>
                <td align="center" valign="middle">7 / 15 (46.7%)</td>
                <td align="center" valign="middle">1 / 97 (1.0%)</td>
                <td align="center" valign="middle">8 / 112 (7.1%)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN20">
              <p>The frequency of anticoagulant use according to age and sex, considering all AFF cases with a CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2 was compared using Fisher's exact tests.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <sec>
          <title>Contextualization and discussion of main findings</title>
          <p>In our cohort sample, 2.5% of the included participants presented AFF at the baseline. Age, male sex, income, hypertension, coronary heart disease, peripheral artery disease, heart failure, and rheumatic fever diagnoses were positively associated with AFF. Second, most participants with AFF and a CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2 did not receive anticoagulants and/or antiplatelet agents. Third, oral anticoagulant use was more common in those with a higher age, while women were less commonly treated.</p>
          <p>Comparing AFF prevalence across samples is challenging because of differences in study design, study setting, and age and sex distribution upon recruitment. A review of the global epidemiology of atrial fibrillation<xref ref-type="bibr" rid="B28"><sup>28</sup></xref> found a reported worldwide prevalence ranging from 0.1% to 6.0%, depending on the age strata and sex analyzed. Although this study reports a similar frequency of AFF diagnosis in the sample when compared to the cited Brazilian studies,<xref ref-type="bibr" rid="B3"><sup>3</sup></xref><sup>,</sup><xref ref-type="bibr" rid="B4"><sup>4</sup></xref> these studies have marked differences and are complementary. For example, Kawabata-Yoshihara et al.<xref ref-type="bibr" rid="B3"><sup>3</sup></xref> performed a systematic door knock of individuals 65 years of age or older, while Marcolino et al.<xref ref-type="bibr" rid="B4"><sup>4</sup></xref> used a large ECG database from the Telehealth Network of Minas Gerais consisting of individuals 5 years of age or older who received medical care in primary care units. Both studies considered AFF diagnosis according to ECG recordings upon assessment. When comparing the findings from those studies to the findings from the present study, a higher frequency of AFF was found when similar age strata are compared. This is most likely influenced by case definitions, as the present study also included a self-reported medical diagnosis as a diagnostic criterion. However, considering only the ECG tracings during assessment and excluding medical history from case definitions may yield the highest specificity and reduce self-reported information error, but it can also underestimate prevalence rates due to the under-recognition of paroxysmal atrial fibrillation.</p>
          <p>The association between heart failure and atrial fibrillation has clinical importance. Healey et al.<xref ref-type="bibr" rid="B12"><sup>12</sup></xref> analyzed data from 15,400 individuals with AFF in 47 countries. After one year of follow-up, death occurred in 11% of the cohort, and heart failure was the most common cause of death (30%). Similarly, individuals with peripheral artery disease and AFF have a higher risk of stroke when compared to those with only AFF.<xref ref-type="bibr" rid="B29"><sup>29</sup></xref> It is important to note that, in recent decades, rheumatic heart disease has decreased as a cause of mortality in Brazil,<xref ref-type="bibr" rid="B30"><sup>30</sup></xref> and although new cases in the country are less common, current middle-aged and older adults may have had rheumatic fever during childhood. Therefore, the prevalence and mortality due to rheumatic heart disease in Brazil is not negligible,<xref ref-type="bibr" rid="B31"><sup>31</sup></xref> which is reinforced by our finding that 9.0% of the individuals with AFF in this study's sample (and 2.9% overall) presented a medical history of rheumatic fever.</p>
          <p>A striking finding of the present study was that 89.2% of all participants with AFF and a CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2 did not receive anticoagulants. This is more important considering that ELSA-Brasil participants have a higher mean level of education and income when compared to the general Brazilian population.<xref ref-type="bibr" rid="B20"><sup>20</sup></xref> Although self-reported diagnoses may have influenced our finding of low rates of stroke prevention, when we limited analyses to participants with a documented AFF in the baseline ECG recording, half of them still had not received anticoagulants.</p>
          <p>Although concerning, these low stroke prevention prescription rates are not exclusive to our sample. A similar study conducted by Healey et al.<xref ref-type="bibr" rid="B12"><sup>12</sup></xref> described that, by geographic region, 32% (North America, Western Europe, Australia, and the Middle East) to 70% (China) guideline-indicated patients did not receive oral anticoagulant therapy. In South America, where ELSA-Brasil is located, the frequency of non-prescription was 55%. Ogilvie et al.<xref ref-type="bibr" rid="B32"><sup>32</sup></xref> reported a systematic review of studies reporting the use of oral anticoagulants in atrial fibrillation outside of clinical trials. They found that 21/29 (72.4%) studies in patients with prior stroke or transient ischemic attack, as well as 5/9 (55.6%) studies in patients with high thromboembolic risk according to risk scores, reported prescriptions levels of below 60%.</p>
          <p>The under-prescription of stroke prevention medication seems to be a more severe problem in women,<xref ref-type="bibr" rid="B33"><sup>33</sup></xref> which is in accordance with our data. Khurshid et al.<xref ref-type="bibr" rid="B34"><sup>34</sup></xref> analyzed electronic medical data from 4,388 patients with atrial fibrillation and found that women, when compared to men, received less anticoagulant therapy at 1, 3, and 6 months after atrial fibrillation diagnosis. In addition, Emdin et al.<xref ref-type="bibr" rid="B35"><sup>35</sup></xref> performed a systematic review and meta-analysis of 30 cohort studies and found that women, as compared to men, with atrial fibrillation had a higher risk of all-cause mortality, cardiovascular mortality, and stroke. These authors highlight that, besides the underuse of stroke prevention medication, other explanations for worse outcomes, such as the higher rates of adverse effects from anticoagulant<xref ref-type="bibr" rid="B36"><sup>36</sup></xref> and antiarrhythmic<xref ref-type="bibr" rid="B37"><sup>37</sup></xref> therapies in women are equally plausible. In addition, some authors have highlighted worse anticoagulation control in women receiving warfarin. For example, Sullivan et al.<xref ref-type="bibr" rid="B38"><sup>38</sup></xref> analyzed data from 4,060 participants of the Atrial Fibrillation Follow-up Investigation of Rhythm Management (AFFIRM) trial, and found that women, as compared to men, on warfarin spent significantly more time below the international normalized ratio (INR) therapeutic range (29% vs 26%). It is also important to note that, the ELSA-Brasil baseline assessment occurred from 2008 to 2010. At that time, the use of direct-acting oral anticoagulants for stroke prevention in AFF was very rare.</p>
        </sec>
        <sec>
          <title>Strengths and limitations</title>
          <p>This study does have some strengths. We analyzed data from a large, multicenter sample of individuals who were not recruited from clinical settings. This reduces potential biases in the study of factors associated with atrial fibrillation and diagnosis and the prescription of stroke prevention medications, approximating our external validity to the general population. The comprehensive ELSA-Brasil protocol allowed for the analysis of medication use according to CHA<sub>2</sub>DS<sub>2</sub>-VASc thromboembolic risk scores. This study must also be interpreted within its context. As stated earlier, this study's case definition may be prone to self-reported information misclassifications. Although this strategy minimizes the under-recognition of paroxysmal atrial fibrillation, it is important to acknowledge that self-reported cases were an important proportion of all AFF cases, and this may have influenced some of our results. Data on the frequency of individuals within the INR therapeutic range or on bleeding risk scores was not available. However, we believe that the risk of high bleeding is unable to explain a substantial part of the lack of stroke prevention in this sample.</p>
        </sec>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusions</title>
        <p>In conclusion, a 2.5% frequency of AFF diagnosis was found at the ELSA-Brasil baseline assessment. Age, male sex, peripheral artery disease, heart failure, or rheumatic fever diagnoses were associated with AFF. Almost 90% of the subsample of participants with AFF and a CHA<sub>2</sub>DS<sub>2</sub>-VASc score &#8805; 2 (50% considering only those diagnosed by ECG records) did not receive anticoagulants.</p>
      </sec>
    </body>
    <back>
      <fn-group>
        <fn fn-type="financial-disclosure" id="fn5">
          <p>
            <bold>Sources of Funding</bold>
          </p>
          <p>This study was partially funded by the Brazilian Ministry of Health (Science and Technology Department) and the Brazilian Ministry of Science and Technology (Financiadora de Estudos e Projetos and CNPq National Research Council) (grants 01 06 0010.00 RS, 01 06 0212.00 BA, 01 06 0300.00 ES, 01 06 0278.00 MG, 01 06 0115.00 SP, 01 06 0071.00 RJ).</p>
        </fn>
        <fn fn-type="other" id="fn6">
          <p>
            <bold>Study Association</bold>
          </p>
          <p>This study is not associated with any thesis or dissertation work.</p>
        </fn>
        <fn fn-type="other" id="fn7">
          <p>
            <bold>Ethics approval and consent to participate</bold>
          </p>
          <p>This study was approved by the Ethics Committee of the Hospital Universit&#225;rio da USP under the protocol number 659/06. 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 fn-type="supported-by" id="fn8">
          <p>*<bold>Supplemental Materials</bold></p>
          <p>For additional information, please <underline>click here</underline>.</p>
        </fn>
      </fn-group>
    </back>
  </sub-article>
</article>
