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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">vprz7fNNZzMz4mr6pYVw5Ys</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S0066-782X2021000900063</article-id>
      <article-id pub-id-type="publisher-id">abc.20200179</article-id>
      <article-id pub-id-type="doi">10.36660/abc.20200179</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigo Original</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>IDH, Recursos Tecnol&#243;gicos e Humanos para Diagn&#243;stico e Tratamento das Malforma&#231;&#245;es do Aparelho Circulat&#243;rio no Brasil</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2606-7460</contrib-id>
          <name>
            <surname>Salim</surname>
            <given-names>Thais Rocha</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Andrade</surname>
            <given-names>Thayanne Mendes</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-4982-4575</contrib-id>
          <name>
            <surname>Klein</surname>
            <given-names>Carlos Henrique</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0737-6188</contrib-id>
          <name>
            <surname>Oliveira</surname>
            <given-names>Gl&#225;ucia Maria Moraes de</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution content-type="orgname">Universidade Federal do Rio de Janeiro</institution>
        <addr-line>
          <named-content content-type="city">Rio de Janeiro</named-content>
          <named-content content-type="state">RJ</named-content>
        </addr-line>
        <country country="BR">Brasil</country>
        <institution content-type="original">Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ - Brasil</institution>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution content-type="orgname">Universidade de Vassouras</institution>
        <addr-line>
          <named-content content-type="city">Vassouras</named-content>
          <named-content content-type="state">RJ</named-content>
        </addr-line>
        <country country="BR">Brasil</country>
        <institution content-type="original">Universidade de Vassouras, Vassouras, RJ - Brasil</institution>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution content-type="orgname">Escola Nacional de Sa&#250;de P&#250;blica</institution>
        <addr-line>
          <named-content content-type="city">Rio de Janeiro</named-content>
          <named-content content-type="state">RJ</named-content>
        </addr-line>
        <country country="BR">Brasil</country>
        <institution content-type="original">Escola Nacional de Sa&#250;de P&#250;blica, Rio de Janeiro, RJ - Brasil</institution>
      </aff>
      <author-notes>
        <corresp id="c01"> Correspond&#234;ncia: Thais Rocha Salim &#8226; Universidade Federal do Rio de Janeiro - R. Prof. Rodolpho P. Rocco, 255 &#8211; Pr&#233;dio do HU 8&#186; andar &#8211; sala 6. CEP 21941-913, Rio de Janeiro, RJ - Brasil E-mail: <email>thais.salim@yahoo.com.br</email> </corresp>
        <fn fn-type="con">
          <p>Contribui&#231;&#227;o dos autores</p>
          <p>Concep&#231;&#227;o e desenho da pesquisa; Obten&#231;&#227;o de dados; An&#225;lise e interpreta&#231;&#227;o dos dados; An&#225;lise estat&#237;stica; Obten&#231;&#227;o de financiamento; Reda&#231;&#227;o do manuscrito e Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante: Salim TR, Andrade TM, Klein CH, Oliveira GMM</p>
        </fn>
        <fn fn-type="conflict">
          <p>Potencial conflito de interesse</p>
          <p>N&#227;o h&#225; conflito com o presente artigo</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>26</day>
        <month>07</month>
        <year>2021</year>
      </pub-date>
      <pub-date publication-format="electronic" date-type="collection">
        <month>07</month>
        <year>2021</year>
      </pub-date>
      <volume>117</volume>
      <issue>1</issue>
      <fpage>63</fpage>
      <lpage>71</lpage>
      <history>
        <date date-type="received">
          <day>04</day>
          <month>03</month>
          <year>2020</year>
        </date>
        <date date-type="rev-recd">
          <day>06</day>
          <month>05</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>16</day>
          <month>06</month>
          <year>2020</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <license-p> This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. </license-p>
        </license>
      </permissions>
      <abstract>
        <title>Resumo</title>
        <sec>
          <title>Fudamento</title>
          <p> Em 2015, foram diagnosticados 2.368 portadores de malforma&#231;&#227;o cong&#234;nita (MC) por 100.000 nascidos vivos (NV) no mundo, uma taxa de 7,6%, dos quais 10,6% morreram no primeiro ano de vida, sendo 43% por malforma&#231;&#245;es do aparelho circulat&#243;rio (MAC), &#224; semelhan&#231;a do que ocorre no Brasil.</p>
        </sec>
        <sec>
          <title>Objetivo</title>
          <p> Verificar a associa&#231;&#227;o de diagn&#243;stico de MAC ao nascimento e morte por MAC no primeiro ano de vida com &#237;ndice de desenvolvimento humano (IDH) e recursos tecnol&#243;gicos e humanos para o diagn&#243;stico e tratamento da MAC por macrorregi&#227;o do Brasil.</p>
        </sec>
        <sec>
          <title>M&#233;todos</title>
          <p> Estudo ecol&#243;gico de dados dispon&#237;veis de 2000 a 2015. Informa&#231;&#245;es sobre NV, &#243;bitos e ecocardi&#243;grafos foram obtidas do DATASUS, o IDH, do <italic>Atlas de Desenvolvimento Humano no Brasil</italic>, e as demais foram obtidas da demografia m&#233;dica. Foram realizadas medidas de correla&#231;&#227;o entre as vari&#225;veis utilizando o &#237;ndice de Kendall.</p>
        </sec>
        <sec>
          <title>Resultados</title>
          <p> A taxa de MC foi 660,8/100.000 NV, das quais, 18.444 por MAC (taxa de diagn&#243;stico 38,55/100.000 NV). As regi&#245;es Sul e Sudeste, com maiores valores de IDH e recursos, apresentaram as maiores taxas de diagn&#243;stico de MAC (56,94/100.000 e 62,83/100.000 NV, respectivamente). As regi&#245;es Norte e Nordeste, com os menores valores de IDH e recursos, apresentaram as menores taxas de diagn&#243;stico de MAC (9,77/100.000 e 13,43/100.000 NV, respectivamente). Essa taxa de diagn&#243;stico foi 6,4 vezes maior no Sudeste do que no Norte, mas as taxas de mortalidade foram similares.</p>
        </sec>
        <sec>
          <title>Conclus&#227;o</title>
          <p> Das MC, as MAC apresentaram a maior mortalidade nos menores de 1 ano no Brasil.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="pt">
        <kwd>Anormalidades Cong&#234;nitas</kwd>
        <kwd>Anormalidades Cardiovasculares</kwd>
        <kwd>Cardiopatias Cong&#234;nitas/diagn&#243;stico</kwd>
        <kwd>Indicadores de Desenvolvimento</kwd>
        <kwd>Mortalidade Infantil</kwd>
        <kwd>Epidemiologia</kwd>
      </kwd-group>
      <counts>
        <fig-count count="6"/>
        <table-count count="4"/>
        <equation-count count="0"/>
        <ref-count count="30"/>
        <page-count count="9"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>Define-se malforma&#231;&#227;o cong&#234;nita (MC) como a forma&#231;&#227;o defeituosa de um &#243;rg&#227;o ou conjunto de &#243;rg&#227;os que determina a presen&#231;a de anormalidade morfol&#243;gica ao nascimento.<sup><xref rid="B1" ref-type="bibr">1</xref></sup> Em 2015, foram diagnosticados 2.368 portadores de MC por 100.000 nascidos vivos (NV) em todo o mundo, uma taxa de 7,6%, dos quais 10,6% morreram no primeiro ano de vida e 43% devido a malforma&#231;&#245;es do aparelho circulat&#243;rio (MAC).<sup><xref rid="B2" ref-type="bibr">2</xref></sup></p>
      <p>A apresenta&#231;&#227;o cl&#237;nica das MAC varia desde aus&#234;ncia de sintomas relacionados &#224; malforma&#231;&#227;o at&#233; cardiopatia sintom&#225;tica e risco de morte. Cerca de 25% de todas as MAC s&#227;o classificadas como cr&#237;ticas e requerem interven&#231;&#227;o no primeiro ano de vida, pois, em geral, s&#227;o incompat&#237;veis com a vida e altamente dependentes de adequado suporte m&#233;dico hospitalar.<sup><xref rid="B3" ref-type="bibr">3</xref></sup> A maioria das mortes por MAC pode ser evitada com o diagn&#243;stico precoce e o tratamento adequado; portanto, as MAC s&#227;o consideradas causas de &#243;bito evit&#225;veis.<sup><xref rid="B4" ref-type="bibr">4</xref></sup></p>
      <p>Em 2015, no Brasil, diagnosticou-se MC ao nascimento em 7,4% dos NV e as distribui&#231;&#245;es percentuais dos tipos de MC e mortalidade foram similares &#224;quelas relatadas no estudo <italic>Global Burden of Disease</italic>.<sup><xref rid="B2" ref-type="bibr">2</xref></sup> O Brasil &#233; dividido em cinco macrorregi&#245;es geopol&#237;ticas (Norte, Nordeste, Centro-Oeste, Sudeste e Sul) bastante desiguais em termos de distribui&#231;&#227;o de recursos para aten&#231;&#227;o e acesso &#224; sa&#250;de. Como essas desigualdades afetam os recursos dedicados ao diagn&#243;stico e ao tratamento das MAC, &#233; necess&#225;rio investigar se tais desigualdades t&#234;m impacto no risco de morte por MAC no primeiro ano de vida.</p>
      <p>Com base nessas observa&#231;&#245;es, este estudo teve por objetivo avaliar a associa&#231;&#227;o de diagn&#243;stico de MAC ao nascimento e morte por MAC no primeiro ano de vida com o &#237;ndice de desenvolvimento humano (IDH) e a disponibilidade de recursos humanos tecnol&#243;gicos para o diagn&#243;stico e tratamento de MAC por macrorregi&#227;o brasileira.</p>
    </sec>
    <sec sec-type="methods">
      <title>M&#233;todos</title>
      <p>Trata-se de estudo ecol&#243;gico das associa&#231;&#245;es do diagn&#243;stico de MAC ao nascimento e da mortalidade por MAC no primeiro ano de vida com as seguintes vari&#225;veis: (1) distribui&#231;&#227;o de pediatras; (2) distribui&#231;&#227;o de cirurgi&#245;es cardiovasculares; (3) disponibilidade de centros de cirurgia card&#237;aca pedi&#225;trica; (4) n&#250;mero de ecocardi&#243;grafos; e (5) IDH das macrorregi&#245;es brasileiras de 2000 a 2015.</p>
      <p>Este estudo foi aprovado pelo Comit&#234; de &#201;tica em Pesquisa do Hospital Universit&#225;rio Clementino Fraga Filho (n&#250;mero 44662215.4.0000.5257).</p>
      <p>As informa&#231;&#245;es referentes aos NV, assim como a presen&#231;a de malforma&#231;&#227;o ao nascimento, foram obtidas no Sistema de Informa&#231;&#245;es sobre Nascidos Vivos (SINASC).<sup><xref rid="B5" ref-type="bibr">5</xref></sup> Esse sistema cont&#233;m informa&#231;&#227;o proveniente de todas as declara&#231;&#245;es de nascidos vivos registrados no Brasil, em cada unidade federativa, e acha-se dispon&#237;vel em bases anuais fornecidas pelo banco de dados do Sistema &#218;nico de Sa&#250;de (DATASUS) (http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sinasc/cnv/nvuf.def). O per&#237;odo estudado foi de 2000 a 2015, pois foi a partir de 2000 que pelo menos 95% das informa&#231;&#245;es se tornaram dispon&#237;veis em sua completude, especialmente nas regi&#245;es Norte e Nordeste.</p>
      <p>As informa&#231;&#245;es referentes aos &#243;bitos foram obtidas no site do DATASUS (http://datasus.gov.br/informacoes-de-saude/servicos2/transferencia-de-arquivos). Tais informa&#231;&#245;es compreendem todas as declara&#231;&#245;es de &#243;bito registradas no Brasil entre 2000 e 2015, ano a ano, por local de resid&#234;ncia e por unidade federativa. De cada banco de dados, foram selecionados apenas os &#243;bitos at&#233; um ano de vida incompleto.<sup><xref rid="B5" ref-type="bibr">5</xref></sup></p>
      <p>Os diagn&#243;sticos das malforma&#231;&#245;es identificadas ao nascimento e os &#243;bitos cujas causas b&#225;sicas est&#227;o contempladas no cap&#237;tulo XVII da CID-10 foram divididos em "MAC" e "outras malforma&#231;&#245;es cong&#234;nitas (OutMC)".<sup><xref rid="B6" ref-type="bibr">6</xref></sup> De acordo com a localiza&#231;&#227;o anat&#244;mica da MC, as MAC foram distribu&#237;das nas seguintes categorias: c&#226;maras e septos card&#237;acos (Q20-21); valvas (Q22-23); outras (Q24 sem 9) e n&#227;o especificadas (Q24.9); e vasos (Q25-28). As OutMC foram classificadas nas seguintes categorias: sistema nervoso (Q00-07); olho, ouvido face e pesco&#231;o (Q10-18); aparelho respirat&#243;rio (Q30-34); fenda labial e palatina (Q35-37); aparelho digestivo (Q38-45); sistema geniturin&#225;rio (Q50-56 e Q60-64); sistema osteomuscular (Q65-79); tegumento (Q80-85); outras malforma&#231;&#245;es cong&#234;nitas (Q86-89); anomalias cromoss&#244;micas (Q90-99); s&#237;filis cong&#234;nita (A50, cap&#237;tulo I); e linfangioma e hemangioma (D18, cap&#237;tulo II).</p>
      <p>As distribui&#231;&#245;es de pediatras e cirurgi&#245;es cardiovasculares no pa&#237;s foram obtidas do estudo sobre demografia m&#233;dica no Brasil realizado com base nos censos m&#233;dicos de 2011, 2013 e 2015.<sup><xref rid="B7" ref-type="bibr">7</xref>-<xref rid="B9" ref-type="bibr">9</xref></sup> As vari&#225;veis usadas para avaliar a rede de diagn&#243;stico e tratamento das MAC foram obtidas no site do DATASUS e v&#234;m sendo disponibilizadas mensalmente desde agosto de 2005. Essas vari&#225;veis consistiram em n&#250;mero de centros classificados como provedores de cirurgia cardiovascular pedi&#225;trica e n&#250;mero de ecocardi&#243;grafos em uso. As admiss&#245;es devidas a MAC em cada macrorregi&#227;o t&#234;m sido disponibilizadas desde janeiro de 2000.<sup><xref rid="B10" ref-type="bibr">10</xref></sup></p>
      <p>O IDH de cada unidade federativa do ano 2010 foi obtido no <italic>Atlas de Desenvolvimento Humano no Brasil</italic>.<sup><xref rid="B11" ref-type="bibr">11</xref></sup> O IDH de cada unidade federativa foi ponderado pelo tamanho da popula&#231;&#227;o de cada unidade para compor o IDH de cada macrorregi&#227;o. As informa&#231;&#245;es referentes &#224;s popula&#231;&#245;es foram obtidas no site do Instituto Brasileiro de Geografia e Estat&#237;stica (https://www.ibge.gov.br/apps/populacao/projecao), que fornece proje&#231;&#245;es para os anos 2000 a 2060.</p>
      <p>Este estudo foi realizado utilizando bancos de dados oficiais dispon&#237;veis no site do DATASUS, que fornece informa&#231;&#227;o anonimizada, que impede a identifica&#231;&#227;o dos indiv&#237;duos.</p>
      <sec>
        <title>
          <italic>An&#225;lise estat&#237;stica</italic>
        </title>
        <p>Para cada macrorregi&#227;o brasileira, calculamos as seguintes taxas referentes a crian&#231;as com menos de 1 ano: taxas de diagn&#243;stico de MAC e de OutMC por 100.000 NV; taxas de mortalidade; e mortalidade proporcional por MAC espec&#237;ficas e por doen&#231;as do aparelho circulat&#243;rio (DAC). As estimativas foram calculadas para cada ano e para o per&#237;odo total do estudo.</p>
        <p>Os dados das vari&#225;veis usadas para avaliar as unidades de sa&#250;de capacitadas para o diagn&#243;stico e tratamento de MAC n&#227;o estavam dispon&#237;veis para todo o per&#237;odo do estudo. Logo, calculou-se uma estimativa anual desses dados usando-se a m&#233;dia dos per&#237;odos dispon&#237;veis. Os indicadores correspondendo a cada uma das vari&#225;veis, com os n&#250;meros de NV usados como denominadores, foram calculados por macrorregi&#227;o. Os coeficientes usados para pediatras, cirurgi&#245;es cardiovasculares, centros de cirurgia pedi&#225;trica cardiovascular e ecocardi&#243;grafos foram calculados em rela&#231;&#227;o a 1.000 NV e os coeficientes para hospitaliza&#231;&#227;o foram calculados em rela&#231;&#227;o a 100.000 NV. Medidas de correla&#231;&#227;o foram realizadas usando-se o &#237;ndice de Kendall, com signific&#226;ncia de 95%.</p>
        <p>Os dados obtidos no DATASUS foram analisados com Stata,<sup><xref rid="B12" ref-type="bibr">12</xref></sup> vers&#227;o 14 (StataCorp LP, College Station, TX, EUA), em tabelas exportadas para planilhas (Microsoft Excel, Microsoft, Seattle, WA, EUA).<sup><xref rid="B13" ref-type="bibr">13</xref></sup></p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <p>Entre 2000 e 2015 foram registrados 47.715.968 NV no Brasil. A presen&#231;a de MC em algum &#243;rg&#227;o ou sistema foi detectada em 315.322 (0,66%) nascimentos, resultando em uma taxa de 660,8/100.000 NV. De todas as MC, 18.444 eram MAC, com taxa de diagn&#243;stico de 38,55/100.000 NV.</p>
      <p>A distribui&#231;&#227;o da popula&#231;&#227;o brasileira por macrorregi&#227;o foi a seguinte: 14,4% habitantes no Sul; 42,2% no Sudeste; 8,3% no Norte; 27,9% no Nordeste; e 7,3% no Centro-Oeste.<sup><xref rid="B5" ref-type="bibr">5</xref></sup> As mais altas taxas de diagn&#243;stico de MC por 100.000 NV foram observadas nas regi&#245;es Sul (719,47) e Sudeste (694,96), enquanto as regi&#245;es Norte (464,02), Centro-Oeste (546,73) e Nordeste (559,29) apresentaram taxas mais baixas com algumas oscila&#231;&#245;es ao longo do tempo. A <xref rid="f01" ref-type="fig">Figura 1</xref> mostra que as MAC diagnosticadas ao nascimento foram mais frequentes na regi&#227;o Sudeste (62,83/100.000 NV) e menos frequentes na regi&#227;o Norte (9,77/100.000 NV). As diferen&#231;as regionais nas taxas de diagn&#243;stico de MAC tornaram-se maiores nos &#250;ltimos 5 anos, especialmente devido &#224; eleva&#231;&#227;o das taxas de MAC na regi&#227;o Sudeste, enquanto as taxas de diagn&#243;stico de OutMC aumentaram at&#233; 2011, com diferen&#231;as significativas entre as regi&#245;es, tendo se estabilizado desde ent&#227;o, exceto na regi&#227;o Nordeste (<xref rid="f02" ref-type="fig">Figura 2a</xref>). Todas as correla&#231;&#245;es entre as vari&#225;veis em estudo foram positivas, isto &#233;, aumentos ou redu&#231;&#245;es foram concomitantes em cada par de vari&#225;veis (<xref rid="t1" ref-type="table">Tabela 1</xref>).</p>
      <p>
        <fig id="f01">
          <label>Figura 1</label>
          <caption>
            <title>&#8211; Recursos tecnol&#243;gicos e humanos para diagn&#243;stico e tratamento de malforma&#231;&#245;es do aparelho circulat&#243;rio por macrorregi&#227;o brasileira. IDH: &#237;ndice de desenvolvimento humano.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-117-01-0063-00179-gf01.tif"/></fig>
      </p>
      <p>
        <fig id="f02">
          <label>Figura 2</label>
          <caption>
            <title>&#8211; A) Diagn&#243;stico ao nascimento de malforma&#231;&#245;es do aparelho circulat&#243;rio (MAC) e outras malforma&#231;&#245;es cong&#234;nitas (OutMC) em nascidos vivos no Brasil. B) Mortalidade por malforma&#231;&#245;es do aparelho circulat&#243;rio e outras malforma&#231;&#245;es em menores de 1 ano no Brasil.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-117-01-0063-00179-gf02.tif"/></fig>
      </p>
      <p>
        <table-wrap id="t1">
          <label>Tabela 1</label>
          <caption>
            <title>&#8211; Correla&#231;&#245;es das taxas de diagn&#243;stico e de mortalidade de malforma&#231;&#245;es do aparelho circulat&#243;rio com &#237;ndice de desenvolvimento humano (IDH), taxas de pediatras, de cirurgi&#245;es cardiovasculares, de ecocardi&#243;grafos e de centros de cirurgia cardiovascular pedi&#225;trica (&#237;ndice tau de Kendall).</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th style="font-weight:normal" align="left"> </th>
                <th>IDH</th>
                <th>Taxa de pediatras</th>
                <th>Cirurgi&#245;es cardiovasculares</th>
                <th>Ecocardi&#243;grafos</th>
                <th>Centro de cirurgia pedi&#225;trica</th>
                <th>Taxa de diagn&#243;stico</th>
                <th>Taxa de mortalidade</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>IDH</td>
                <td align="center">1,00</td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Taxa de pediatras</td>
                <td align="center">0,80</td>
                <td align="center">1,00</td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Cirurgi&#245;es cardiovasculares</td>
                <td align="center">0,60</td>
                <td align="center">0,80</td>
                <td align="center">1,00</td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Ecocardi&#243;grafos</td>
                <td align="center">0,40</td>
                <td align="center">0,60</td>
                <td align="center">0,80</td>
                <td align="center">1,00</td>
                <td> </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Centro de cirurgia pedi&#225;trica</td>
                <td align="center">0,40</td>
                <td align="center">0,60</td>
                <td align="center">0,80</td>
                <td align="center">1,00</td>
                <td align="center">1,00</td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Taxa de diagn&#243;stico</td>
                <td align="center">0,80</td>
                <td align="center">1,00</td>
                <td align="center">0,80</td>
                <td align="center">0,60</td>
                <td align="center">0,60</td>
                <td align="center">1,00</td>
                <td> </td>
              </tr>
              <tr>
                <td>Taxa de mortalidade</td>
                <td align="center">0,40</td>
                <td align="center">0,20</td>
                <td align="center">0,40</td>
                <td align="center">0,60</td>
                <td align="center">0,60</td>
                <td align="center">0,20</td>
                <td align="center">1,00</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </p>
      <p>De 2000 a 2015, houve 756.201 mortes de menores de 1 ano no Brasil. Dessas, 126.877 ocorreram por MC em um &#243;rg&#227;o ou sistema, sendo a taxa de mortalidade de 119,76/100.000 NV. As MAC corresponderam a 38,2% dos &#243;bitos por MC, com taxa de mortalidade de 73,98/100.000 NV. A <xref rid="f02" ref-type="fig">Figura 2b</xref> mostra que as diferen&#231;as nas taxas de mortalidade por MAC entre as regi&#245;es diminu&#237;ram no per&#237;odo do estudo, com exce&#231;&#227;o da regi&#227;o Centro-Oeste, que manteve a mortalidade mais elevada em todo o per&#237;odo. O mesmo ocorreu com a mortalidade por OutMC, para a qual a regi&#227;o Centro-Oeste manteve as mais elevadas taxas em todo o per&#237;odo.</p>
      <p>Como ilustrado na <xref rid="f03" ref-type="fig">Figura 3a</xref>, em todas as regi&#245;es, o tipo de MC por &#243;rg&#227;o ou conjunto de &#243;rg&#227;os afetados mais frequentemente diagnosticado ao nascimento foi "malforma&#231;&#227;o do sistema osteomuscular" (41,5%), seguida de "outras malforma&#231;&#245;es cong&#234;nitas" (10,1%). As MAC corresponderam a 5,9% de todos os diagn&#243;sticos de MC, sendo que 63,8% dos diagn&#243;sticos de MAC ocorreram na regi&#227;o Sudeste. Vale ressaltar que a regi&#227;o Sudeste apresentou 39,2% dos NV no Brasil no per&#237;odo estudado, sendo a distribui&#231;&#227;o de NV nas outras regi&#245;es a seguinte: 10,71% no Norte; 29,02% no Nordeste; 13,07% no Sul; e 7,86% no Centro-Oeste. A <xref rid="f03" ref-type="fig">Figura 3b</xref> mostra que de 2000 a 2015, no Brasil, as MAC foram a principal causa de morte por MC (38,2%), enquanto as malforma&#231;&#245;es do sistema osteomuscular corresponderam a 7,9% dessas mortes. A regi&#227;o Centro-Oeste apresentou a maior taxa de mortalidade atribu&#237;da a MAC (90,75/100.000 NV) no mesmo per&#237;odo.</p>
      <p>A <xref rid="t2" ref-type="table">Tabela 2</xref> mostra a mortalidade proporcional em menores de 1 ano atribu&#237;da a DAC e MAC, com subdivis&#227;o por causas espec&#237;ficas. Mais de 83% das mortes por causas do aparelho circulat&#243;rio foram devidas a MAC em todas as regi&#245;es, com &#234;nfase na regi&#227;o Sul, onde aquela porcentagem foi de 93%. Nesse conjunto de DAC e MAC, as MAC n&#227;o especificadas corresponderam a metade das mortes dos menores de 1 ano no Brasil, das quais menos da metade (44%) ocorreu apenas na regi&#227;o Sudeste. A mortalidade proporcional por DAC foi 2,5 vezes maior na regi&#227;o Norte do que na regi&#227;o Sul. Cardiomiopatia representou 32% das mortes por DAC, emergindo como a principal causa de morte nesse subconjunto em todas as regi&#245;es.</p>
      <p>
        <table-wrap id="t2">
          <label>Tabela 2</label>
          <caption>
            <title>&#8211; Mortalidade proporcional por doen&#231;as do aparelho circulat&#243;rio e malforma&#231;&#245;es do aparelho circulat&#243;rio em menores de 1 ano entre 2000 e 2015 subdividida por causa espec&#237;fica e distribu&#237;da por macrorregi&#227;o brasileira</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">Causas de morte</th>
                <th style="font-weight:normal" align="left"> </th>
                <th>Norte</th>
                <th>Nordeste</th>
                <th>Sudeste</th>
                <th>Sul</th>
                <th>Centro-oeste</th>
                <th>Total</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Cardiopatia pulmonar e doen&#231;a da circula&#231;&#227;o pulmonar</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">84 1.51</td>
                <td align="center">189 1.31</td>
                <td align="center">396 1,76</td>
                <td align="center">62 0,83</td>
                <td align="center">76 1,49</td>
                <td align="center">807 1,46</td>
              </tr>
              <tr>
                <td>Pericardite e endocardite</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">27 0,49</td>
                <td align="center">60 0,41</td>
                <td align="center">142 0,63</td>
                <td align="center">21 0,27</td>
                <td align="center">27 0,53</td>
                <td align="center">277 050</td>
              </tr>
              <tr>
                <td>Miocardite</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">10 0,18</td>
                <td align="center">25 0,17</td>
                <td align="center">84 0,37</td>
                <td align="center">49 0,65</td>
                <td align="center">8 0,16</td>
                <td align="center">176 0,32</td>
              </tr>
              <tr>
                <td>Cardiomiopatias</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">277 4,99</td>
                <td align="center">713 4,93</td>
                <td align="center">933 4,14</td>
                <td align="center">122 1,63</td>
                <td align="center">171 3,36</td>
                <td align="center">2216 4,02</td>
              </tr>
              <tr>
                <td>Insufici&#234;ncia card&#237;aca</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">163 2,94</td>
                <td align="center">347 2,40</td>
                <td align="center">276 1,22</td>
                <td align="center">73 0,97</td>
                <td align="center">56 1,10</td>
                <td align="center">915 1,66</td>
              </tr>
              <tr>
                <td>Doen&#231;as cerebrovasculares e de outros vasos</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">121 2,18</td>
                <td align="center">249 1,72</td>
                <td align="center">459 2,03</td>
                <td align="center">66 0,88</td>
                <td align="center">83 1,63</td>
                <td align="center">978 1,77</td>
              </tr>
              <tr>
                <td>Outras doen&#231;as do aparelho circulat&#243;rio</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">240 4,32</td>
                <td align="center">541 3,74</td>
                <td align="center">648 2,87</td>
                <td align="center">97 1,29</td>
                <td align="center">120 2,36</td>
                <td align="center">1646 2,98</td>
              </tr>
              <tr>
                <td>
                  <bold>Subtotal DAC</bold>
                </td>
                <td align="center">
                  <bold>Mortes MP (%)</bold>
                </td>
                <td align="center">
                  <bold>922 16,61</bold>
                </td>
                <td align="center">
                  <bold>2124 14,68</bold>
                </td>
                <td align="center">
                  <bold>2938 13,02</bold>
                </td>
                <td align="center">
                  <bold>490 6,53</bold>
                </td>
                <td align="center">
                  <bold>541 10,63</bold>
                </td>
                <td align="center">
                  <bold>7015 12,71</bold>
                </td>
              </tr>
              <tr>
                <td>C&#226;maras e septos</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">670 12,07</td>
                <td align="center">1554 10,74</td>
                <td align="center">4260 18,88</td>
                <td align="center">1357 18,08</td>
                <td align="center">866 17,01</td>
                <td align="center">8707 15,78</td>
              </tr>
              <tr>
                <td>V&#225;lvulas</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">172 3,10</td>
                <td align="center">428 2,96</td>
                <td align="center">1605 7,11</td>
                <td align="center">699 9,31</td>
                <td align="center">282 5,54</td>
                <td align="center">3186 5,77</td>
              </tr>
              <tr>
                <td>N&#227;o especificada</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">2927 52,74</td>
                <td align="center">8283 57,25</td>
                <td align="center">9902 43,89</td>
                <td align="center">3834 51,08</td>
                <td align="center">2759 54,20</td>
                <td align="center">27705 50,21</td>
              </tr>
              <tr>
                <td>Outras</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">531 9,27</td>
                <td align="center">1199 8,29</td>
                <td align="center">1600 7,09</td>
                <td align="center">384 5,12</td>
                <td align="center">254 4,99</td>
                <td align="center">3968 7,19</td>
              </tr>
              <tr>
                <td>Vasos</td>
                <td align="center">Mortes MP (%)</td>
                <td align="center">328 5,91</td>
                <td align="center">81 6,09</td>
                <td align="center">2255 9,99</td>
                <td align="center">742 9,88</td>
                <td align="center">388 7,62</td>
                <td align="center">4594 8,33</td>
              </tr>
              <tr>
                <td>
                  <bold>Subtotal MAC</bold>
                </td>
                <td align="center">
                  <bold>Mortes MP (%)</bold>
                </td>
                <td align="center">
                  <bold>4628 83,39</bold>
                </td>
                <td align="center">
                  <bold>12345 85,32</bold>
                </td>
                <td align="center">
                  <bold>19622 86,98</bold>
                </td>
                <td align="center">
                  <bold>7016 93,47</bold>
                </td>
                <td align="center">
                  <bold>4549 89,37</bold>
                </td>
                <td align="center">
                  <bold>48160 87,29</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Total DAC + MAC</bold>
                </td>
                <td align="center">
                  <bold>Mortes MP (%)</bold>
                </td>
                <td align="center">
                  <bold>5550 100,00</bold>
                </td>
                <td align="center">
                  <bold>14469 100,00</bold>
                </td>
                <td align="center">
                  <bold>22560 100,00</bold>
                </td>
                <td align="center">
                  <bold>7506 100,00</bold>
                </td>
                <td align="center">
                  <bold>5090 100,00</bold>
                </td>
                <td align="center">
                  <bold>55175 100,00</bold>
                </td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN1">
              <p>
                <italic>MP: mortalidade proporcional; DAC: doen&#231;as do aparelho circulat&#243;rio; MAC: malforma&#231;&#245;es do aparelho circulat&#243;rio; total DAC + MAC: total de mortes por dist&#250;rbios do aparelho circulat&#243;rio</italic>
              </p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>Entre 2000 e 2015, a taxa de diagn&#243;stico de MAC ao nascimento foi 6,4 vezes maior no Sudeste do que no Norte, mas as taxas de mortalidade foram similares nas duas macrorregi&#245;es. Comparado ao Sudeste, o Centro-Oeste teve quase a mesma quantidade de recursos (pediatras, cirurgi&#245;es cardiovasculares, centros com cirurgia pedi&#225;trica cardiovascular e n&#250;mero de ecocardi&#243;grafos) mas realizou 3 vezes menos diagn&#243;sticos de MAC e apresentou taxa de mortalidade 1,2 vez maior (<xref rid="f01" ref-type="fig">Figura 1</xref>).</p>
    </sec>
    <sec sec-type="discussion">
      <title>Discuss&#227;o</title>
      <p>Nas cinco macrorregi&#245;es brasileiras, entre 2000 e 2015, foram identificados tr&#234;s padr&#245;es de associa&#231;&#227;o do diagn&#243;stico de MAC ao nascimento e de morte por MAC com IDH e recursos tecnol&#243;gicos e humanos dedicados ao diagn&#243;stico e tratamento de MAC. As regi&#245;es Sul e Sudeste, com os maiores valores de IDH e recursos tecnol&#243;gicos e humanos, apresentaram as maiores taxas de diagn&#243;stico de MAC ao nascimento e de morte por MAC, esta &#250;ltima consequente &#224; maior capacidade diagn&#243;stica. As regi&#245;es Norte e Nordeste, com os mais baixos valores de IDH e recursos, apresentaram as mais baixas taxas de diagn&#243;stico de MAC ao nascimento e morte por MAC no primeiro ano de vida. Entretanto, a regi&#227;o Centro-Oeste, com recursos similares aos das regi&#245;es Sul e Sudeste, apresentou baixa taxa de diagn&#243;stico de MAC ao nascimento e melhora no diagn&#243;stico de MAC por ocasi&#227;o da morte.</p>
      <p>Comparando as taxas de diagn&#243;stico de MC e de MAC ao nascimento no Brasil com as taxas globais, a partir de dados do estudo <italic>Global Burden of Disease</italic>, no mesmo per&#237;odo e na mesma faixa et&#225;ria do nosso estudo, observamos que nossas taxas de diagn&#243;stico de MC e MAC foram 1,40 e 1,78 vez menor, respectivamente, do que as taxas globais.<sup><xref rid="B2" ref-type="bibr">2</xref></sup> Mesmo na regi&#227;o Sul, que apresentou taxas de diagn&#243;stico mais altas do que as demais regi&#245;es, as taxas de diagn&#243;stico de MC e MAC foram 1,30 e 1,70 vez menor, respectivamente, em compara&#231;&#227;o &#224;s taxas globais. As taxas da regi&#227;o Norte, em compara&#231;&#227;o &#224;s de pa&#237;ses da Am&#233;rica do Norte, Europa Ocidental, Austr&#225;lia e Jap&#227;o, foram ainda mais baixas: 1,42 vez menor para MC e 1,83 vez menor para MAC.<sup><xref rid="B2" ref-type="bibr">2</xref>,<xref rid="B14" ref-type="bibr">14</xref></sup></p>
      <p>A diferen&#231;a nas taxas de diagn&#243;stico de MAC entre os pa&#237;ses acha-se relacionada &#224;s varia&#231;&#245;es em investimento em recursos de aten&#231;&#227;o &#224; sa&#250;de. Pa&#237;ses com maiores valores de produto interno bruto apresentam taxas de diagn&#243;stico de MAC mais altas.<sup><xref rid="B15" ref-type="bibr">15</xref>,<xref rid="B16" ref-type="bibr">16</xref></sup> Rela&#231;&#245;es similares foram encontradas com o IDH e a taxa de diagn&#243;stico de MAC entre as regi&#245;es estudadas e os pa&#237;ses que possu&#237;am IDH similar.<sup><xref rid="B2" ref-type="bibr">2</xref></sup> Caneo et al.,<sup><xref rid="B16" ref-type="bibr">16</xref></sup> compararam a necessidade de cirurgia card&#237;aca e o n&#250;mero dessas cirurgias realizadas no primeiro ano de vida em 2010 entre o estado de S&#227;o Paulo e a Pol&#244;nia, que tinham IDH e tamanho populacional similares na ocasi&#227;o.<sup><xref rid="B16" ref-type="bibr">16</xref></sup> Aqueles autores relataram que, em crian&#231;as menores de 1 ano na Pol&#244;nia, 100% das cirurgias necess&#225;rias foram realizadas, enquanto, no estado de S&#227;o Paulo, apenas 50%. Isso pode ser explicado pela disponibilidade de acesso a recursos de sa&#250;de, que ocorre de maneira heterog&#234;nea no Brasil devido a diferen&#231;as geogr&#225;ficas, socioculturais e econ&#244;micas.<sup><xref rid="B16" ref-type="bibr">16</xref>-<xref rid="B18" ref-type="bibr">18</xref></sup></p>
      <p>Entre 2000 e 2015, houve aumento nas taxas de diagn&#243;stico de OutMC e MAC ao nascimento em todas as regi&#245;es brasileiras, tendo as diferen&#231;as percentuais permanecido constantes no per&#237;odo. Nas regi&#245;es Sul e Sudeste, a redu&#231;&#227;o nas mortes foi acompanhada por uma melhora nas taxas de diagn&#243;stico ao longo do tempo, enquanto nas regi&#245;es Norte e Nordeste, houve uma melhora na habilidade para diagn&#243;stico no per&#237;odo pr&#243;ximo ao &#243;bito, o que resultou em um aumento da taxa de mortalidade tanto por OutMC quanto por MAC. A regi&#227;o Sudeste, com as maiores taxas de diagn&#243;stico de MAC ao nascimento, apresentou taxa de mortalidade por MAC similar &#224;quela da regi&#227;o Norte; portanto, em compara&#231;&#227;o &#224; regi&#227;o Norte, os recursos na regi&#227;o Sudeste conseguiram evitar mortes por MAC ao nascimento. Ao longo do per&#237;odo estudado, as diferen&#231;as entre as taxas de mortalidade por OutMC e por MAC nas regi&#245;es Norte e Nordeste diminu&#237;ram na compara&#231;&#227;o com as das demais regi&#245;es. Tal fato pode ser atribu&#237;do ao &#8220;Pacto pela Redu&#231;&#227;o da Mortalidade Materna e Neonatal&#8221;,<sup><xref rid="B19" ref-type="bibr">19</xref></sup> firmado em 2004 entre os tr&#234;s n&#237;veis federativos de aten&#231;&#227;o &#224; sa&#250;de no Brasil. As estrat&#233;gias de obten&#231;&#227;o dessa meta foram tra&#231;adas para diminuir a mortalidade com mais &#234;nfase nas regi&#245;es Norte e Nordeste, resultando em maior aporte de recursos e de pessoal para essas regi&#245;es. &#201; prov&#225;vel que o aclive acentuado na curva de OutMC entre 2014 e 2015 na regi&#227;o Nordeste tenha sido causado pelo surto do Zika v&#237;rus, que contribuiu para malforma&#231;&#245;es do sistema nervoso.<sup><xref rid="B20" ref-type="bibr">20</xref></sup></p>
      <p>As regi&#245;es Norte e Nordeste possuem maior percentual de diagn&#243;stico de &#243;bito por DAC no primeiro ano de vida, o que pode ser explicado pela confus&#227;o entre os diagn&#243;sticos de MAC e de DAC, provavelmente mais frequente nessas regi&#245;es, pois o diagn&#243;stico diferencial &#233; mais dif&#237;cil entre essas causas quando os recursos diagn&#243;sticos s&#227;o escassos ou tardios.<sup><xref rid="B21" ref-type="bibr">21</xref></sup></p>
      <p>Dentre as MC, as MAC apresentam maior mortalidade, pois necessitam de diagn&#243;stico precoce para institui&#231;&#227;o do tratamento, visto que, das crian&#231;as que nascem com alguma cardiopatia cong&#234;nita sem interven&#231;&#227;o m&#233;dica, 14% n&#227;o sobrevivem ao primeiro m&#234;s de vida e 30% ao primeiro ano.<sup><xref rid="B22" ref-type="bibr">22</xref></sup> Interven&#231;&#227;o cir&#250;rgica no primeiro ano de vida &#233; necess&#225;ria em 50% dos portadores de cardiopatia cong&#234;nita, o que demanda complexidade de recursos t&#233;cnico e humano, representando elevado custo de tratamento.<sup><xref rid="B23" ref-type="bibr">23</xref>-<xref rid="B25" ref-type="bibr">25</xref></sup> No entanto, para o adequado suporte terap&#234;utico, &#233; necess&#225;rio o correto diagn&#243;stico da MAC e, no Brasil, mesmo nas regi&#245;es Sul e Sudeste, as MAC n&#227;o especificadas s&#227;o as mais frequentes, refletindo n&#227;o s&#243; dificuldade no acesso como baixa qualidade de diagn&#243;stico.</p>
      <p>O n&#250;mero de ecocardi&#243;grafos mostrou fraca rela&#231;&#227;o com a taxa de diagn&#243;stico de MAC por macrorregi&#227;o. A regi&#227;o Norte apresentou a menor rela&#231;&#227;o entre n&#250;mero de aparelhos dispon&#237;veis e taxas de diagn&#243;stico; por&#233;m, a regi&#227;o Centro-Oeste, que possu&#237;a quantidade de aparelhos semelhante &#224; da regi&#227;o Sul, realizou tr&#234;s vezes menos diagn&#243;sticos. O Sudeste, que possu&#237;a menor rela&#231;&#227;o de ecocardi&#243;grafos que o Centro-Oeste, realizou 3,1 vezes mais diagn&#243;sticos. Isso pode ser explicado pelo fato de que nem todos os aparelhos em uso no Brasil podem ser utilizados para a realiza&#231;&#227;o de exames neonatais e pedi&#225;tricos, dependendo da disponibilidade de sondas adequadas &#224; faixa pedi&#225;trica, do <italic>software</italic> espec&#237;fico, do treinamento do ecocardiografista em exames pedi&#225;tricos, da presen&#231;a do aparelho pr&#243;ximo aos locais de maior demanda e da acessibilidade dos pacientes.<sup><xref rid="B26" ref-type="bibr">26</xref>-<xref rid="B28" ref-type="bibr">28</xref></sup></p>
      <p>O n&#250;mero de cirurgi&#245;es cardiovasculares, de pediatras e de servi&#231;os de cirurgia card&#237;aca pedi&#225;trica segue a mesma rela&#231;&#227;o que o n&#250;mero de ecocardi&#243;grafos, demonstrando n&#227;o ser apenas a quantidade de recursos t&#233;cnicos e humanos por regi&#227;o que determina sua capacidade diagn&#243;stica, mas de como e quando esses recursos s&#227;o disponibilizados para a popula&#231;&#227;o. O diagn&#243;stico precoce das MC, incluindo as MAC, deveria ocorrer no per&#237;odo pr&#233;-natal para possibilitar o encaminhamento dos pacientes para centros especializados de tratamento, mesmo antes do nascimento.<sup><xref rid="B29" ref-type="bibr">29</xref>,<xref rid="B30" ref-type="bibr">30</xref></sup></p>
      <p>Uma das limita&#231;&#245;es deste estudo, foi o uso de bancos de dados oficiais, cujas informa&#231;&#245;es foram coletadas por institui&#231;&#245;es que assistem ao parto e ao &#243;bito e que n&#227;o seguem um protocolo &#250;nico nem um planejamento de pesquisa. Outra limita&#231;&#227;o foi a an&#225;lise de dados de fontes com diferentes disponibilidades temporais. Entretanto, esse problema n&#227;o afetou nossos resultados, pois os dados apresentaram pouca oscila&#231;&#227;o no per&#237;odo estudado e as m&#233;dias calculadas foram similares &#224;quelas dos anos seguintes. Outra limita&#231;&#227;o foi a heterogeneidade da qualidade da informa&#231;&#227;o sobre as causas de &#243;bito e diagn&#243;stico de MC nos certificados de &#243;bito e de nascidos vivos, que requerem preenchimento adequado e ades&#227;o &#224;s regras da CID-10. No entanto, os certificados de &#243;bito e de nascidos vivos s&#227;o as &#250;nicas fontes abrangentes dispon&#237;veis de dados sobre &#243;bito e nascimento no Brasil que permitem an&#225;lises populacionais. Outra poss&#237;vel limita&#231;&#227;o foi o uso apenas do diagn&#243;stico de MAC ao nascimento, uma vez que muitas MC s&#243; s&#227;o diagnosticadas nos primeiros dias de vida; al&#233;m disso, a aus&#234;ncia de informa&#231;&#227;o sobre o momento em que o diagn&#243;stico foi feito n&#227;o permitiu que se conhecesse o tempo decorrido entre o diagn&#243;stico e a morte por MAC.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclus&#227;o</title>
      <p>As diferen&#231;as regionais nas taxas de diagn&#243;stico de MAC ao nascimento e de morte por MAC no Brasil acham-se associadas &#224; desigualdade de disponibilidade de recursos tecnol&#243;gicos e humanos para aten&#231;&#227;o &#224; sa&#250;de. Quanto menor a disponibilidade desses recursos, menos se diagnostica ou maior &#233; o atraso em se fazer o diagn&#243;stico. A subestima&#231;&#227;o das taxas de morte por MAC nas regi&#245;es Norte e Nordeste deveu-se &#224; concorr&#234;ncia com outras causas, como DAC, causas externas e mal definidas, assim como defici&#234;ncias no diagn&#243;stico. Diversas a&#231;&#245;es s&#227;o necess&#225;rias para melhorar o diagn&#243;stico e o tratamento das MAC, como medidas para ampliar os recursos de aten&#231;&#227;o &#224; sa&#250;de, cujo acesso deve ser disponibilizado para toda a popula&#231;&#227;o.</p>
      <p>
        <fig id="f03">
          <label>Figura 3</label>
          <caption>
            <title>&#8211; A) Diagn&#243;stico por grupos de tipos de malforma&#231;&#245;es cong&#234;nitas presentes ao nascimento entre 2000 e 2015, Brasil; B) Mortalidade infantil por grupos de tipos de malforma&#231;&#245;es cong&#234;nitas entre 2000 e 2015, Brasil.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-117-01-0063-00179-gf03.tif"/></fig>
      </p>
    </sec>
  </body>
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    <fn-group>
      <fn fn-type="other">
        <p>Vincula&#231;&#227;o acad&#234;mica</p>
        <p>Este artigo &#233; parte de tese de doutorado de Thais Rocha Salim pela Universidade Federal do Rio de Janeiro.</p>
      </fn>
      <fn fn-type="supported-by" id="fn4">
        <p><bold>Fontes de financiamento</bold>: O presente estudo n&#227;o teve fontes de financiamento externas.</p>
      </fn>
    </fn-group>
  </back>
  <sub-article article-type="translation" id="TRen" xml:lang="en">
    <front-stub>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>HDI, Technological and Human Resources in the Diagnosis and Treatment of Malformations of the Circulatory System in Brazil</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2606-7460</contrib-id>
          <name>
            <surname>Salim</surname>
            <given-names>Thais Rocha</given-names>
          </name>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2001">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Andrade</surname>
            <given-names>Thayanne Mendes</given-names>
          </name>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-4982-4575</contrib-id>
          <name>
            <surname>Klein</surname>
            <given-names>Carlos Henrique</given-names>
          </name>
          <xref ref-type="aff" rid="aff3001">
            <sup>3</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0737-6188</contrib-id>
          <name>
            <surname>Oliveira</surname>
            <given-names>Gl&#225;ucia Maria Moraes de</given-names>
          </name>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
      </contrib-group>
      <aff id="aff1001">
        <label>1</label>
        <country country="BR">Brasil</country>
        <institution content-type="original">Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ - Brasil</institution>
      </aff>
      <aff id="aff2001">
        <label>2</label>
        <country country="BR">Brasil</country>
        <institution content-type="original">Universidade de Vassouras, Vassouras, RJ - Brasil</institution>
      </aff>
      <aff id="aff3001">
        <label>3</label>
        <country country="BR">Brasil</country>
        <institution content-type="original">Escola Nacional de Sa&#250;de P&#250;blica, Rio de Janeiro, RJ - Brasil</institution>
      </aff>
      <author-notes>
        <corresp id="c01001"><bold>Mailing Address: Thais Rocha Salim &#8226;</bold> Universidade Federal do Rio de Janeiro - R. Prof. Rodolpho P. Rocco, 255 Pr&#233;dio do HU 8&#186; andar sala 6. Postal Code 21941-913, Rio de Janeiro, RJ - Brazil E-mail: thais.salim@yahoo.com.br </corresp>
        <fn fn-type="con">
          <p>Author Contributions</p>
          <p>Conception and design of the research; Acquisition of data; Analysis and interpretation of the data; Statistical analysis; Obtaining financing; Writing of the manuscript and Critical revision of the manuscript for intellectual contente: Salim TR, Andrade TM, Klein CH, Oliveira GMM</p>
        </fn>
        <fn fn-type="conflict">
          <p>Potential Conflict of Interest</p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background</title>
          <p> In 2015, the number of infants with congenital malformations (CMs) per 100 000 live births (LBs) was 2368 (7.6%) worldwide, of whom 10.6% died in the first year of life, 43% due to malformations of the circulatory system (MCSs), a scenario similar to what occurs in Brazil.</p>
        </sec>
        <sec>
          <title>Objective</title>
          <p> To assess, per Brazilian macroregion, whether diagnosis of MCS at birth and death due to MCS in the first year of life associate with human development index (HDI) and with technological and human resources.</p>
        </sec>
        <sec>
          <title>Methods</title>
          <p> Ecological study including data available in 2000&#8211;2015. Data of LBs, deaths and availability of echocardiography devices were obtained from the DATASUS website. The HDI was obtained from the Atlas of Human Development in Brazil, while other variables were obtained from medical demographic data. Correlation measures between the variables were performed using the Kendall index.</p>
        </sec>
        <sec>
          <title>Results</title>
          <p> The CM rate was 660.8/100 000 LBs, of which 18 444 were due to MCS (diagnosis rate, 38.55/100 000 LBs). Of all Brazilian macroregions, the Southern and Southeastern regions, with the highest HDI values and resources, had the highest MCS diagnosis rates (56.94/100 000 and 62.83/100 000 LBs, respectively). The Northern and Northeastern regions, with the lowest HDI values and resources, had the lowest MCS diagnosis rates (9.77/100 000 and 13.43/100 000 LBs, respectively). The MCS diagnosis rate was 6.4-fold higher in the Southeastern region as compared to the Northern region, but mortality rates were similar in both regions.</p>
        </sec>
        <sec>
          <title>Conclusion</title>
          <p> Of the CMs, the MCS accounted for the highest number of deaths in children under the age of 1 year in Brazil.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>Congenital Abnormalities</kwd>
        <kwd>Cardiovascular Abnormalities</kwd>
        <kwd>Heart Defects, Congenital/diagnosis</kwd>
        <kwd>Infant Mortality</kwd>
        <kwd>Epidemiology</kwd>
      </kwd-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>Congenital malformation (CM) is defined as any defect in the formation of an organ or set of organs that determines the presence of a morphological abnormality at birth.<sup><xref rid="B1" ref-type="bibr">1</xref></sup> In 2015, the number of infants with CMs per 100 000 live births (LBs) worldwide was 2368 (7.6%), of whom 10.6% died in the first year of life, 43% due to malformations of the circulatory system (MCSs).<sup><xref rid="B2" ref-type="bibr">2</xref></sup></p>
        <p>The clinical presentation of MCSs varies from absence of malformation-related symptoms to symptomatic cardiac disease and risk of death. Approximately 25% of all MCSs are deemed critical and require intervention in the first year of life because they are often incompatible with life and highly dependent on adequate medical and hospital support.<sup><xref rid="B3" ref-type="bibr">3</xref></sup> Most deaths due to MCSs could be prevented with early diagnosis and appropriate treatment; therefore, MCSs are considered to be preventable causes of death.<sup><xref rid="B4" ref-type="bibr">4</xref></sup></p>
        <p>In 2015 in Brazil, 7.4% of the LBs were diagnosed with some CM at birth, and the percentage distributions of the types of CM and mortality were similar to those reported in the <italic>Global Burden of Disease Study</italic>.<sup><xref rid="B2" ref-type="bibr">2</xref></sup> Geopolitically, Brazil is subdivided into five &#8220;macroregions&#8221; (North, Northeast, West-Central, Southeast, and South), highly unequal in terms of distribution of resources and access to health care. Since those inequalities affect resources dedicated to the diagnosis and treatment of MCSs, it is important to investigate whether those inequalities impact the risk of death from MCSs in the first year of life.</p>
        <p>Based on the above observations, the aim of this study was to assess the association of the diagnosis of MCS at birth and death from MCS in the first year of life with the human development index (HDI) and the availability of technological and human resources dedicated to the diagnosis and treatment of MCSs per Brazilian macroregion.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <p>Ecological study of the associations of MCS diagnosis at birth and MCS mortality in children younger than 1 year of age with (1) distribution of pediatricians, (2) distribution of cardiovascular surgeons, (3) availability of centers providing pediatric cardiac surgery, (4) number of echocardiography devices, and (5) HDI of the Brazilian macroregions, from 2000 to 2015. The study was approved by the Research Ethics Committee of the Clementino Fraga Filho University-affiliated Hospital (number 44662215.4.0000.5257).</p>
        <p>Data regarding LBs, as well as the presence of malformations at birth, were obtained from the Brazilian Information System on Live Births (in Portuguese, <italic>Sistema de Informa&#231;&#245;es sobre Nascidos Vivos</italic> - SINASC,),<sup><xref rid="B5" ref-type="bibr">5</xref></sup> which contains information of all live birth certificates registered in each Brazilian federative unit and is available on annual datasets from the Brazilian Unified Health System database (DATASUS) (http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sinasc/cnv/nvuf.def). We chose to study the period between 2000 and 2015 because of the completeness of information available since 2000, especially in the Northern and Northeastern regions.</p>
        <p>Death-related data were obtained from the DATASUS website (http://datasus.gov.br/informacoes-de-saude/servicos2/transferencia-de-arquivos). These sets of information comprise a combination of all death certificates registered in Brazil between 2000 and 2015, year by year, per place of residence, and per federative unit. From each database, we selected only deaths of children under the age of 1 year.<sup><xref rid="B5" ref-type="bibr">5</xref></sup></p>
        <p>The malformations identified at birth and the deaths whose underlying causes related to the ICD-10 chapter XVII were subdivided into &#8220;MCSs&#8221; and &#8220;other congenital malformations (OthCMs)&#8221;.<sup><xref rid="B6" ref-type="bibr">6</xref></sup> According to the anatomic location of the malformation, MCSs were distributed into the categories &#8220;cardiac chambers and septa&#8221; (Q20-21), &#8220;valves&#8221; (Q22-23), &#8220;others&#8221; (Q24 except 9) and &#8220;unspecified&#8221; (Q24.9), and &#8220;vessels&#8221; (Q25-28). The OthCMs were classified as follows: &#8220;nervous system&#8221;(Q00-07); &#8220;eye, ear, face, and neck&#8221; (Q10-18); &#8220;respiratory system&#8221; (Q30-34); &#8220;cleft lip and palate&#8221; (Q35-37); &#8220;digestive system&#8221; (Q38-45); &#8220;genital organs and urinary system&#8221; (Q50-56 and Q60-64); &#8220;musculoskeletal system&#8221; (Q65-79); &#8220;integument&#8221; (Q80-85); &#8220;other congenital malformations&#8221; (Q86-89); &#8220;chromosomal abnormalities&#8221; (Q90-99); &#8220;congenital syphilis&#8221; (A50, chapter I); and &#8220;lymphangioma and hemangioma&#8221; (D18, chapter II).</p>
        <p>The distributions of pediatricians and cardiovascular surgeons across the country were obtained from the study on medical demography based on the medical censuses of the years 2011, 2013, and 2015.<sup><xref rid="B7" ref-type="bibr">7</xref>-<xref rid="B9" ref-type="bibr">9</xref></sup> The variables used to assess the healthcare for the diagnosis and treatment of MCS were obtained from the DATASUS website and have been made available monthly since August 2005. Those variables included the number of centers classified as providing pediatric cardiovascular surgery and the number of echocardiography devices in use. Admissions due to MCSs in each macroregion have been made available from January 2000 onwards.<sup><xref rid="B10" ref-type="bibr">10</xref></sup></p>
        <p>The HDI of each federative unit for the year 2010 was obtained from the <italic>Atlas of Human Development in Brazil</italic>.<sup><xref rid="B11" ref-type="bibr">11</xref></sup> The HDI of each federative unit was weighted by each unit&#8217;s population size to yield the HDI of each macroregion. Information regarding the populations was obtained from the website of the Brazilian Institute of Geography and Statistics (https://www.ibge.gov.br/apps/populacao/projecao), which provides projections for the years 2000 to 2060.</p>
        <p>This study was carried out using official databases, available on the DATASUS website, which provide anonymized information, thus not allowing the identification of the individuals.</p>
        <sec>
          <title>Statistical analysis</title>
          <p>For each Brazilian macroregion, we calculated the following rates related to children under the age of 1 year: (A) diagnostic rates of MCSs and OthCMs per 100 000 LBs, (B) mortality rates, and (C) proportional mortality from specific MCSs and from circulatory system diseases (CSDs). The estimates were calculated for each year and for the entire study period.</p>
          <p>Data of the variables used to assess the healthcare units providing the diagnosis and treatment of MCSs were not available for the entire study period. Therefore, we calculated an annual estimate of these data using the mean of the available periods. The indicators corresponding to each of these variables, with the numbers of LBs used as denominators, were calculated by macroregion. The coefficients used for pediatricians, cardiovascular surgeons, centers providing pediatric cardiovascular surgery, and echocardiographic devices were calculated in relation to 1000 LBs and the coefficients for hospitalizations were calculated in relation to 100 000 LBs. Correlation measures were performed using the Kendall index, with a 95% significance index.</p>
          <p>The data obtained from the DATASUS were analyzed with Stata,<sup><xref rid="B12" ref-type="bibr">12</xref></sup> version 14 (StataCorp LP, College Station, TX, USA), in tables exported to spreadsheets (Microsoft Excel, Microsoft, Seattle, WA, USA).<sup><xref rid="B13" ref-type="bibr">13</xref></sup></p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>A total of 47 715 968 LBs were registered in Brazil between 2000 and 2015. The presence of CM in any organ or system was detected in 315 322 (0.66%) births, resulting in a rate of 660.8/100 000 LBs. Of all CMs, 18 444 were MCSs, with a rate of diagnosis of 38.55/100 000 LBs.</p>
        <p>The distribution of the Brazilian population by macroregion is as follows: 14.4% inhabitants in the Southern region, 42.2% in the Southeastern, 8.3% in the Northern, 27.9% in the Northeastern, and 7.3% in the West-Central region.<sup><xref rid="B5" ref-type="bibr">5</xref></sup> The highest rates of diagnosis of CMs per 100 000 LBs occurred in the Southern (719.47) and Southeastern (694.96) regions, while the Northern (464.02), West-Central (546.73) and Northeastern regions (559.29) showed lower rates with some oscillations over time. As shown in <xref rid="f01001" ref-type="fig">Figure 1</xref>, MCSs diagnosed at birth were more frequent in the Southeastern region (62.83/100 000 LBs) and less frequent in the Northern region (9.77/100 000 LBs). Regional differences in the rates of diagnosis of MCSs have become wider in the last 5 years, especially due to higher rates of MCSs in the Southeastern region, while diagnostic rates of OthMCs increased until 2011, with reasonable differences between regions, and stabilized from then on, except for the Northeastern region (<xref rid="f02001" ref-type="fig">Figure 2a</xref>). All correlations between the variables studied were positive, that is, increases or decreases were concomitant in each pair of variables (<xref rid="t1001" ref-type="table">Table 1</xref>).</p>
        <p>
          <fig id="f01001">
            <label>Figure 1</label>
            <caption>
              <title>&#8211; Technological and human resources for the diagnosis and treatment of malformations of the circulatory system by Brazilian macroregion. HDI: human development index; LB: live births</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-117-01-0063-00179-gf01-en.tif"/></fig>
        </p>
        <p>
          <fig id="f02001">
            <label>Figures 2</label>
            <caption>
              <title>&#8211; A) Diagnosis at birth of malformations of the circulatory system (MCS) and other congenital malformations (OthCM) in live births in Brazil. B) Mortality due to malformations of the circulatory system and other congenital malformations in children younger than 1 year, Brazil.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-117-01-0063-00179-gf02-en.tif"/></fig>
        </p>
        <p>
          <table-wrap id="t1001">
            <label>Table 1</label>
            <caption>
              <title>&#8211; Correlations of diagnostic and mortality rates of malformations of the circulatory system with human development index (HDI) and rates of pediatricians, of cardiovascular surgeons, of echocardiographic devices and of pediatric cardiac surgery centers (Kendall index)</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left" style="font-weight:normal"> </th>
                  <th>HDI-M</th>
                  <th>Rate of pediaticians</th>
                  <th>Cardiovascular surgeons</th>
                  <th>Echocardiography devices</th>
                  <th>Pediatric cardiac surgery centers</th>
                  <th>diagnostic rate</th>
                  <th>Mortality rate</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>HDI-M</td>
                  <td align="center">1.00</td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                </tr>
                <tr>
                  <td>Rate of pediatricians</td>
                  <td align="center">0.80</td>
                  <td align="center">1.00</td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                </tr>
                <tr>
                  <td>Cardiovasuclar surgeons</td>
                  <td align="center">0.60</td>
                  <td align="center">0.80</td>
                  <td align="center">1.00</td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                </tr>
                <tr>
                  <td>Echocardiography devices</td>
                  <td align="center">0.40</td>
                  <td align="center">0.60</td>
                  <td align="center">0.80</td>
                  <td align="center">1.00</td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                </tr>
                <tr>
                  <td>Pediatric cardiac surgery centers</td>
                  <td align="center">0.40</td>
                  <td align="center">0.60</td>
                  <td align="center">0.80</td>
                  <td align="center">1.00</td>
                  <td align="center">1.00</td>
                  <td> </td>
                  <td> </td>
                </tr>
                <tr>
                  <td>Diagnostic rate</td>
                  <td align="center">0.80</td>
                  <td align="center">1.00</td>
                  <td align="center">0.80</td>
                  <td align="center">0.60</td>
                  <td align="center">0.60</td>
                  <td align="center">1.00</td>
                  <td> </td>
                </tr>
                <tr>
                  <td>Mortality rate</td>
                  <td align="center">0.40</td>
                  <td align="center">0.20</td>
                  <td align="center">0.40</td>
                  <td align="center">0.60</td>
                  <td align="center">0.60</td>
                  <td align="center">0.20</td>
                  <td align="center">1.00</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </p>
        <p>In the period from 2000 to 2015, there were 756 201 deaths in children under the age of 1 year in Brazil. Of these, 126 877 occurred due to CM in any organ or system, with a mortality rate of 119.76/100 000 LBs. The MCSs corresponded to 38.2% of the deaths from CMs, with a mortality rate of 73.98/100 000 LBs. <xref rid="f02001" ref-type="fig">Figure 2b</xref> shows that the differences in the mortality rates from MCSs between the regions decreased over the study period, except for the West-Central region, where those rates remained the highest throughout the period. The same occurred with mortality due to OthCMs, in which the West-Central region remained with the highest rates throughout the period.</p>
        <p>As shown in <xref rid="f03001" ref-type="fig">Figure 3a</xref>, the type of CM per organ or set of organs affected most frequently diagnosed at birth in all regions was &#8220;malformation of the musculoskeletal system&#8221; (41.5%) followed by &#8220;other congenital malformations&#8221; (10.1%). The MCSs corresponded to 5.9% of all CM diagnoses, and 63.8% of the MCS diagnoses occurred in the Southeastern region. It is worth noting that 39.2% of the LBs in the country in the study period occurred in the Southeastern region, while in other regions the distribution of LBs was as follows: 10.71%, in the North; 29.02%, Northeast; 13.07%, South; and 7.86% West-Central. <xref rid="f03001" ref-type="fig">Figure 3b</xref> shows that from 2000 to 2015, in Brazil, MCSs were the most frequent cause of death from CM (38.2%), while malformations of the musculoskeletal system corresponded to 7.9% of those deaths. The West-Central region had the highest mortality rate attributed to MCS (90.75/100 000 LBs) in the same period.</p>
        <p>
          <fig id="f03001">
            <label>Figure 3</label>
            <caption>
              <title>&#8211; A) Diagnosis by groups of types of congenital malformations present at birth between 2000 and 2015, Brazil; B) Childhood mortality by groups of types of congenital malformations between 2000 and 2015, Brazil.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-117-01-0063-00179-gf03-en.tif"/></fig>
        </p>
        <p><xref rid="t2001" ref-type="table">Table 2</xref> shows the proportional mortality in children under the age of 1 year attributed to CSD and MCS, with subdivision for specific causes. More than 83% of the deaths attributed to circulatory system causes were due to MCS in all regions, with emphasis on the Southern region, where that rate was 93%. In this set of CSD and MCS, unspecified MCSs accounted for half of the deaths of children under 1 year of age in Brazil, of which less than half (44%) occurred in the Southeast alone. The Northern region showed a proportional mortality due to CSD 2.5 times higher than that of the Southern region. Cardiomyopathy corresponded to 32% of the deaths from CSD and emerged as the main cause of death in this subset in all regions.</p>
        <p>
          <table-wrap id="t2001">
            <label>Table 2</label>
            <caption>
              <title>&#8211; Proportional mortality from circulatory system diseases and malformations of the circulatory system in children younger than 1 year between 2000 and 2015 subdivided by specific cause and distributed by Brazilian macroregions</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left">Cause of death</th>
                  <th align="left" style="font-weight:normal"> </th>
                  <th>North</th>
                  <th>Northeast</th>
                  <th>Southeast</th>
                  <th>South</th>
                  <th>West-Central</th>
                  <th>Total</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>Pulmonary heart disease and disease of the pulmonary ciculation</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">84 1.51</td>
                  <td align="center">189 1.31</td>
                  <td align="center">396 1,76</td>
                  <td align="center">62 0,83</td>
                  <td align="center">76 1,49</td>
                  <td align="center">807 1,46</td>
                </tr>
                <tr>
                  <td>Periocarditis and endocarditis</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">27 0,49</td>
                  <td align="center">60 0,41</td>
                  <td align="center">142 0,63</td>
                  <td align="center">21 0,27</td>
                  <td align="center">27 0,53</td>
                  <td align="center">277 050</td>
                </tr>
                <tr>
                  <td>myocarditis</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">10 0,18</td>
                  <td align="center">25 0,17</td>
                  <td align="center">84 0,37</td>
                  <td align="center">49 0,65</td>
                  <td align="center">8 0,16</td>
                  <td align="center">176 0,32</td>
                </tr>
                <tr>
                  <td>Cardiomyopathies</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">277 4,99</td>
                  <td align="center">713 4,93</td>
                  <td align="center">933 4,14</td>
                  <td align="center">122 1,63</td>
                  <td align="center">171 3,36</td>
                  <td align="center">2216 4,02</td>
                </tr>
                <tr>
                  <td>Heart failure</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">163 2,94</td>
                  <td align="center">347 2,40</td>
                  <td align="center">276 1,22</td>
                  <td align="center">73 0,97</td>
                  <td align="center">56 1,10</td>
                  <td align="center">915 1,66</td>
                </tr>
                <tr>
                  <td>Cerebrovascular diseases and diseases of other vessels</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">121 2,18</td>
                  <td align="center">249 1,72</td>
                  <td align="center">459 2,03</td>
                  <td align="center">66 0,88</td>
                  <td align="center">83 1,63</td>
                  <td align="center">978 1,77</td>
                </tr>
                <tr>
                  <td>Outras doen&#231;as do aparelho circulat&#243;rio</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">240 4,32</td>
                  <td align="center">541 3,74</td>
                  <td align="center">648 2,87</td>
                  <td align="center">97 1,29</td>
                  <td align="center">120 2,36</td>
                  <td align="center">1646 2,98</td>
                </tr>
                <tr>
                  <td>
                    <bold>Subtotal DAC</bold>
                  </td>
                  <td align="center">
                    <bold>Deaths PM (%)</bold>
                  </td>
                  <td align="center">
                    <bold>922 16,61</bold>
                  </td>
                  <td align="center">
                    <bold>2124 14,68</bold>
                  </td>
                  <td align="center">
                    <bold>2938 13,02</bold>
                  </td>
                  <td align="center">
                    <bold>490 6,53</bold>
                  </td>
                  <td align="center">
                    <bold>541 10,63</bold>
                  </td>
                  <td align="center">
                    <bold>7015 12,71</bold>
                  </td>
                </tr>
                <tr>
                  <td>Chambers and septa</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">670 12,07</td>
                  <td align="center">1554 10,74</td>
                  <td align="center">4260 18,88</td>
                  <td align="center">1357 18,08</td>
                  <td align="center">866 17,01</td>
                  <td align="center">8707 15,78</td>
                </tr>
                <tr>
                  <td>Valves</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">172 3,10</td>
                  <td align="center">428 2,96</td>
                  <td align="center">1605 7,11</td>
                  <td align="center">699 9,31</td>
                  <td align="center">282 5,54</td>
                  <td align="center">3186 5,77</td>
                </tr>
                <tr>
                  <td>Unspecified</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">2927 52,74</td>
                  <td align="center">8283 57,25</td>
                  <td align="center">9902 43,89</td>
                  <td align="center">3834 51,08</td>
                  <td align="center">2759 54,20</td>
                  <td align="center">27705 50,21</td>
                </tr>
                <tr>
                  <td>Others</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">531 9,27</td>
                  <td align="center">1199 8,29</td>
                  <td align="center">1600 7,09</td>
                  <td align="center">384 5,12</td>
                  <td align="center">254 4,99</td>
                  <td align="center">3968 7,19</td>
                </tr>
                <tr>
                  <td>Vessels</td>
                  <td align="center">Deaths PM (%)</td>
                  <td align="center">328 5,91</td>
                  <td align="center">81 6,09</td>
                  <td align="center">2255 9,99</td>
                  <td align="center">742 9,88</td>
                  <td align="center">388 7,62</td>
                  <td align="center">4594 8,33</td>
                </tr>
                <tr>
                  <td>
                    <bold>Subtotal MCS</bold>
                  </td>
                  <td align="center">
                    <bold>Deaths PM (%)</bold>
                  </td>
                  <td align="center">
                    <bold>4628 83,39</bold>
                  </td>
                  <td align="center">
                    <bold>12345 85,32</bold>
                  </td>
                  <td align="center">
                    <bold>19622 86,98</bold>
                  </td>
                  <td align="center">
                    <bold>7016 93,47</bold>
                  </td>
                  <td align="center">
                    <bold>4549 89,37</bold>
                  </td>
                  <td align="center">
                    <bold>48160 87,29</bold>
                  </td>
                </tr>
                <tr>
                  <td>
                    <bold>Total CSD + MCS</bold>
                  </td>
                  <td align="center">
                    <bold>Mortes MP (%)</bold>
                  </td>
                  <td align="center">
                    <bold>5550 100,00</bold>
                  </td>
                  <td align="center">
                    <bold>14469 100,00</bold>
                  </td>
                  <td align="center">
                    <bold>22560 100,00</bold>
                  </td>
                  <td align="center">
                    <bold>7506 100,00</bold>
                  </td>
                  <td align="center">
                    <bold>5090 100,00</bold>
                  </td>
                  <td align="center">
                    <bold>55175 100,00</bold>
                  </td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN1001">
                <p>
                  <italic>PM: proportional mortality; CSD: circulatory system disease; MCS: malformations of the circulatory system; total CSD + MCS: total deaths due to circulatory system disorders.</italic>
                </p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </p>
        <p>Between 2000 and 2015, the rate of diagnosis of MCS at birth was 6.4 times higher in the Southeast than in the North, but the mortality rates were similar in both macroregions. Compared with the Southeast, the West-Central had almost the same amount of resources (pediatricians, cardiovascular surgeons, centers providing pediatric cardiovascular surgery, and number of echocardiography devices) but made 3 times less MCS diagnoses and had a 1.2-fold higher mortality rate (<xref rid="f01001" ref-type="fig">Figure 1</xref>).</p>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <p>Across the five Brazilian macroregions, between 2000 and 2015, we observed three patterns of association of the diagnosis of MCS at birth and death from MCS with HDI and technological and human resources dedicated to MCS diagnosis and treatment. The Southern and Southeastern regions, with the highest values of HDI and technological and human resources, showed the highest rates of diagnosis of MCSs at birth and of death attributed to MCSs, the latter consequent to better diagnostic ability. The Northern and Northeastern regions, with the lowest values of HDI and resources, had the lowest diagnostic rates of MCS at birth and death in the first year of life. On the other hand, the West-Central region, which had resources similar to those in the Southern and Southeastern regions, had a low rate of MCS diagnosis at birth and an improvement in the diagnosis of MCS by the time of death.</p>
        <p>Comparing the diagnostic rates of CMs and MCSs at birth in Brazil with the global rates according to data provided by the <italic>Global Burden of Disease Study</italic> in the same period and age range of our study, we found the diagnostic rates of CM and MCS to be 1.40 and 1.78 times lower, respectively, than the global rates.<sup><xref rid="B2" ref-type="bibr">2</xref></sup> Even in the Southern region, which performed better than the other Brazilian regions, the diagnostic rates for CMs and MCS were 1.30 times and 1.70 times lower, respectively, compared with the global rates. When comparing the rates of the Northern region with those of countries in North America, Western Europe, Australia, and Japan, ours were even lower: 1.42 times for CMs and 1.83 times for MCSs.<sup><xref rid="B2" ref-type="bibr">2</xref>,<xref rid="B14" ref-type="bibr">14</xref></sup></p>
        <p>The difference in the diagnostic rates of MCSs among countries is related to variations in investment in health care resources. Countries with higher gross domestic product and HDI have higher rates of MCS diagnosis.<sup><xref rid="B15" ref-type="bibr">15</xref>,<xref rid="B16" ref-type="bibr">16</xref></sup> Similar relationships have been found with the HDI and the diagnosis rate of MCS among regions and countries with similar HDI.<sup><xref rid="B2" ref-type="bibr">2</xref></sup> Caneo et al.<sup><xref rid="B16" ref-type="bibr">16</xref></sup> have compared the need for cardiac surgery and the number of such surgeries performed in the first year of life in 2010 between the state of S&#227;o Paulo and Poland, which had similar HDI and population size at that time.<sup><xref rid="B16" ref-type="bibr">16</xref></sup> The authors have observed that, in children under the age of 1 year in Poland, 100% of the required surgeries were performed, whereas in the state of S&#227;o Paulo, this rate was only 50%. This can be explained by the availability of access to health care resources, which occurs heterogeneously in Brazil due to geographical, sociocultural, and economic differences.<sup><xref rid="B16" ref-type="bibr">16</xref>-<xref rid="B18" ref-type="bibr">18</xref></sup></p>
        <p>Between 2000 and 2015, there was an increase in the diagnostic rates of OthCMs and MCS at birth in all Brazilian regions, and the percent differences between them remained constant in the period. In the Southern and Southeastern regions, the decrease in deaths was accompanied by an improvement in diagnostic rates over time, whereas in the Northern and Northeastern regions, there was an improvement in the diagnostic ability around the time of death, which resulted in an increased mortality rate for both OthCM and MCS. The Southeastern region, with the highest rates of MCS diagnosis at birth, showed death rates due to MCS similar to those of the Northern region; thus, as compared to the Northern region, the resources in the Southeastern region could more successfully prevent deaths from MCS at the time of birth. Over the study period, the differences in the mortality rates from OthCM and MCS in the Northern and Northeastern regions were reduced as compared to the other regions. This fact can be attributed to the results of the &#8220;Pact for the Reduction of Maternal and Neonatal Mortality&#8221;,<sup><xref rid="B19" ref-type="bibr">19</xref></sup> signed in 2004 among the three Brazilian federative health care levels to reduce neonatal mortality. The strategies to achieve that goal were designed to reduce mortality with more emphasis on the Northern and Northeastern regions, resulting in a greater contribution of resources and personnel to those regions. In addition, the accentuated slope in the OthCM curve between 2014 and 2015 in the Northeastern region might have been caused by the outbreak of the Zika virus that contributed to malformations of the nervous system.<sup><xref rid="B20" ref-type="bibr">20</xref></sup></p>
        <p>The Northern and Northeastern regions had a higher percentage of diagnoses of deaths due to CSD in the first year of life, which can be explained by misdiagnoses of MCS and CSD, probably more frequent in those regions, because the differential diagnosis between those causes is more difficult when diagnostic resources are scarce or delayed.<sup><xref rid="B21" ref-type="bibr">21</xref></sup></p>
        <p>Of the CMs, MCSs had the highest mortality because they require an early diagnosis for therapy initiation, considering that among children born with some type of congenital heart disease, survival is below 14% during the first month of life and 30% during the first year in the absence of medical intervention.<sup><xref rid="B22" ref-type="bibr">22</xref></sup> Surgical interventions in the first year of life are necessary for 50% of the patients with congenital heart disease, which results in high expenditures for treatment and complex technical and human resources.<sup><xref rid="B23" ref-type="bibr">23</xref>-<xref rid="B25" ref-type="bibr">25</xref></sup> However, for adequate therapeutic support, a correct diagnosis of MCS is necessary, and, in Brazil, even in the Southern and Southeastern regions, unspecified MCSs are the most frequent CMs, which reflects not only difficulties in access to care but also poor quality of diagnosis.</p>
        <p>The number of echocardiography devices showed a weak relation with the diagnosis rate of MCSs by macroregion. The Northern region had the lowest ratio between the number of available devices and diagnostic rates, but the West-Central region, which had a number of devices close to that of the Southern region, had a diagnosis rate 3 times lower. The Southeast, with a lower ratio of echocardiography devices than the West-Central, had a diagnosis rate 3.1 times higher. This can be explained by the fact that not all devices used in Brazil are able to perform neonatal and pediatric examinations, in addition to depending on the availability of probes appropriate for children, specific software, echocardiographers trained in pediatrics, devices located near sites with greater patient demand, and patient accessibility.<sup><xref rid="B26" ref-type="bibr">26</xref>-<xref rid="B28" ref-type="bibr">28</xref></sup></p>
        <p>The number of cardiac surgeons, pediatricians, and centers performing pediatric cardiac surgery followed the same relationship as the number of echocardiography devices, which demonstrates that it is not only the amount of technological and human resources per region that determines the diagnostic capacity, but also how and when these resources are made available to the population. Early diagnosis of CMs, including MCSs, should be established before birth to enable the patients to be referred to specialized treatment centers even before their birth.<sup><xref rid="B29" ref-type="bibr">29</xref>,<xref rid="B30" ref-type="bibr">30</xref></sup></p>
        <p>This study has limitations, such as the use of official databases, whose information had been collected by the institutions that provide assistance to childbirth and death and that do not follow a common protocol or research planning. Another limitation was the analysis of data from sources with temporal differences. However, this problem did not affect our results because the data underwent little variation over the study period and the calculated means were similar to those of the following years. Another limitation was the heterogeneous quality of the information about causes of death and diagnosis of CM in the death and live birth certificates, which depends on the adherence to the ICD-10 rules and the proper completion of death and live birth certificates. However, death and live birth certificates are the only comprehensive sources on Brazilian death and birth data available that allow population analysis. Other possible limitation was the use of the diagnosis of MCS only at birth, considering that many CMs are diagnosed over the first days of life. In addition, the time elapsed from diagnosis to death from MCS could not be known because information on the time of diagnosis was not available.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusion</title>
        <p>Regional differences in the rates of diagnosis of MCS at birth and of death due to MCS in the first year of life in Brazil are associated with unequal availability of technological and human resources for health care. The lower that availability, the more delayed the diagnoses or the lower their number. The underestimation of death rates from MCS in the Northern and Northeastern regions was due to competition with other causes, such as CSD, external and ill-defined causes, as well as deficiencies in diagnosis. Several actions are necessary to improve the diagnosis and therapy of MCS, such as measures to increase the health care resources, whose access should be made available to the entire population.</p>
      </sec>
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    <back>
      <fn-group>
        <fn fn-type="other">
          <p>Study Association</p>
          <p>This article is part of the thesis of master submitted by Thais Rocha Salim, from Universidade Federal do Rio de Janeiro.</p>
        </fn>
        <fn fn-type="supported-by" id="fn4001">
          <p><bold>Sources of Funding</bold>: There were no external funding sources for this study.</p>
        </fn>
      </fn-group>
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