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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">bMKchvbg3XbCRsL3W9jWsgq</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S0066-782X2021001401207</article-id>
      <article-id pub-id-type="publisher-id">abc.20201300</article-id>
      <article-id pub-id-type="doi">10.36660/abc.20201300</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Carta Cient&#237;fica</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Achados Ecocardiogr&#225;ficos em Pacientes com COVID-19 com e sem Doen&#231;a Cardiovascular Pr&#233;via</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0711-7995</contrib-id>
          <name>
            <surname>Barberato</surname>
            <given-names>Silvio Henrique</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Borsoi</surname>
            <given-names>Rafael</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-1254-6820</contrib-id>
          <name>
            <surname>Roston</surname>
            <given-names>Fabio</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>4</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-2543-7308</contrib-id>
          <name>
            <surname>Miranda</surname>
            <given-names>Hudson Laerte Machado</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Patriota</surname>
            <given-names>Pedro</given-names>
          </name>
          <xref ref-type="aff" rid="aff6">
            <sup>6</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2634-4632</contrib-id>
          <name>
            <surname>Otto</surname>
            <given-names>Maria Estefania</given-names>
          </name>
          <xref ref-type="aff" rid="aff7">
            <sup>7</sup>
          </xref>
          <xref ref-type="aff" rid="aff8">
            <sup>8</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Beck</surname>
            <given-names>Adenalva Lima de Souza</given-names>
          </name>
          <xref ref-type="aff" rid="aff7">
            <sup>7</sup>
          </xref>
          <xref ref-type="aff" rid="aff9">
            <sup>9</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Armstrong</surname>
            <given-names>Anderson da Costa</given-names>
          </name>
          <xref ref-type="aff" rid="aff6">
            <sup>6</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8836-345X</contrib-id>
          <name>
            <surname>Ferreira</surname>
            <given-names>Jo&#227;o Marcos Bemfica Barbosa</given-names>
          </name>
          <xref ref-type="aff" rid="aff10">
            <sup>10</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Camarozano</surname>
            <given-names>Ana Cristina</given-names>
          </name>
          <xref ref-type="aff" rid="aff11">
            <sup>11</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Silva</surname>
            <given-names>Let&#237;cia Braga Paciello da</given-names>
          </name>
          <xref ref-type="aff" rid="aff12">
            <sup>12</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Resende</surname>
            <given-names>Marcos Val&#233;rio Coimbra</given-names>
          </name>
          <xref ref-type="aff" rid="aff12">
            <sup>12</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-4561-5717</contrib-id>
          <name>
            <surname>Vieira</surname>
            <given-names>Marcelo Luiz Campos</given-names>
          </name>
          <xref ref-type="aff" rid="aff12">
            <sup>12</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0095-9049</contrib-id>
          <name>
            <surname>Fernandes-Silva</surname>
            <given-names>Miguel Morita</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Quanta Diagn&#243;stico &#8211; Ecocardiografia</institution>
          <addr-line>
            <named-content content-type="city">Curitiba</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Quanta Diagn&#243;stico &#8211; Ecocardiografia, Curitiba, PR &#8211; Brasil</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution content-type="orgname">CardioEco Centro de Diagn&#243;stico Cardiovascular</institution>
          <addr-line>
            <named-content content-type="city">Curitiba</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">CardioEco Centro de Diagn&#243;stico Cardiovascular, Curitiba, PR &#8211; Brasil</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution content-type="orgname">Hospital de Cl&#237;nicas da Universidade Federal do Paran&#225;</institution>
          <addr-line>
            <named-content content-type="city">Curitiba</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital de Cl&#237;nicas da Universidade Federal do Paran&#225;, Curitiba, PR &#8211; Brasil</institution>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution content-type="orgname">Hospital Universit&#225;rio da Universidade Estadual de Londrina</institution>
          <addr-line>
            <named-content content-type="city">Londrina</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital Universit&#225;rio da Universidade Estadual de Londrina, Londrina, PR &#8211; Brasil</institution>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution content-type="orgname">Hospital Samel</institution>
          <addr-line>
            <named-content content-type="city">Manaus</named-content>
            <named-content content-type="state">AM</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital Samel, Manaus, AM &#8211; Brasil</institution>
        </aff>
        <aff id="aff6">
          <label>6</label>
          <institution content-type="orgname">Hospital Universit&#225;rio da Universidade Federal do Vale do S&#227;o Francisco</institution>
          <addr-line>
            <named-content content-type="city">Petrolina</named-content>
            <named-content content-type="state">PE</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital Universit&#225;rio da Universidade Federal do Vale do S&#227;o Francisco, Petrolina, PE &#8211; Brasil</institution>
        </aff>
        <aff id="aff7">
          <label>7</label>
          <institution content-type="orgname">Instituto de Cardiologia do Distrito Federal</institution>
          <addr-line>
            <named-content content-type="city">Bras&#237;lia</named-content>
            <named-content content-type="state">DF</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Instituto de Cardiologia do Distrito Federal (ICDF), Bras&#237;lia, DF &#8211; Brasil</institution>
        </aff>
        <aff id="aff8">
          <label>8</label>
          <institution content-type="orgname">Hospital Sirio Liban&#234;s</institution>
          <addr-line>
            <named-content content-type="city">Bras&#237;lia</named-content>
            <named-content content-type="state">DF</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital Sirio Liban&#234;s, Bras&#237;lia, DF &#8211; Brasil</institution>
        </aff>
        <aff id="aff9">
          <label>9</label>
          <institution content-type="orgname">Hospital Santa L&#250;cia de Bras&#237;lia</institution>
          <addr-line>
            <named-content content-type="city">Bras&#237;lia</named-content>
            <named-content content-type="state">DF</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital Santa L&#250;cia de Bras&#237;lia, Bras&#237;lia, DF &#8211; Brasil</institution>
        </aff>
        <aff id="aff10">
          <label>10</label>
          <institution content-type="orgname">Universidade do Estado do Amazonas</institution>
          <addr-line>
            <named-content content-type="city">Manaus</named-content>
            <named-content content-type="state">AM</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Universidade do Estado do Amazonas, Manaus, AM &#8211; Brasil</institution>
        </aff>
        <aff id="aff11">
          <label>11</label>
          <institution content-type="orgname">Hospital Nossa Senhora das Gra&#231;as</institution>
          <addr-line>
            <named-content content-type="city">Curitiba</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital Nossa Senhora das Gra&#231;as, Curitiba, PR &#8211; Brasil</institution>
        </aff>
        <aff id="aff12">
          <label>12</label>
          <institution content-type="orgname">Hospital Samaritano</institution>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Hospital Samaritano, S&#227;o Paulo, SP &#8211; Brasil</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><bold>Correspond&#234;ncia: Silvio Henrique Barberato</bold> &#8226; CardioEco Centro de Diagn&#243;stico Cardiovascular - Avenida Rep&#250;blica Argentina, 1336, conj 215. CEP <postal-code>80620-010</postal-code>, Curitiba, PR - Brasil. E-mail: <email>silviohb@cardiol.br</email> </corresp>
        <fn fn-type="con">
          <p>
            <bold>Contribui&#231;&#227;o dos autores</bold>
          </p>
          <p>Concep&#231;&#227;o e desenho da pesquisa e Obten&#231;&#227;o de financiamento: Barberato SH, Borsoi R; Obten&#231;&#227;o de dados: Borsoi R, Roston F, Miranda HLM, Patriota P, Otto ME, Beck ALS, Armstrong AC, Ferreira JMBB, Camarozano AC, Silva LBP, Resende MVC, Vieira MLC; An&#225;lise e interpreta&#231;&#227;o dos dados: Barberato SH, Borsoi R, Fernandes-Silva MM; An&#225;lise estat&#237;stica: Barberato SH, Borsoi R, Fernandes-Silva MM; Reda&#231;&#227;o do manuscrito: Barberato SH; Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante: Barberato SH, Fernandes-Silva MM.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potencial conflito de interesse</bold>
          </p>
          <p>N&#227;o h&#225; conflito com o presente artigo</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>03</day>
        <month>12</month>
        <year>2021</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <month>12</month>
        <year>2021</year>
      </pub-date>
      <volume>117</volume>
      <issue>6</issue>
      <fpage>1207</fpage>
      <lpage>1211</lpage>
      <history>
        <date date-type="received">
          <day>08</day>
          <month>12</month>
          <year>2020</year>
        </date>
        <date date-type="rev-recd">
          <day>09</day>
          <month>06</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>16</day>
          <month>06</month>
          <year>2021</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</license-p>
        </license>
      </permissions>
      <kwd-group xml:lang="pt">
        <title>Palavras-chave</title>
        <kwd>S&#237;ndrome Respirat&#243;ria Aguda Grave/complica&#231;&#245;es</kwd>
        <kwd>SARS-CoV-2/complica&#231;&#245;es</kwd>
        <kwd>Coronavirus-19/complica&#231;&#245;es</kwd>
        <kwd>Pandemia</kwd>
        <kwd>Fun&#231;&#227;o Card&#237;aca</kwd>
        <kwd>Doen&#231;as Cardiovasculares/complica&#231;&#245;es</kwd>
        <kwd>Insufici&#234;ncia Card&#237;aca</kwd>
        <kwd>Ecocardiografia/m&#233;todos</kwd>
        <kwd>Mortalidade</kwd>
        <kwd>Comorbidade</kwd>
      </kwd-group>
      <counts>
        <fig-count count="2"/>
        <table-count count="4"/>
        <equation-count count="0"/>
        <ref-count count="14"/>
        <page-count count="5"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>A doen&#231;a do coronav&#237;rus-2019 (COVID-19), causada pelo v&#237;rus da s&#237;ndrome respirat&#243;ria aguda grave coronav&#237;rus 2 (SARS-CoV-2), pode resultar em insufici&#234;ncia respirat&#243;ria grave e les&#227;o card&#237;aca aguda. Disfun&#231;&#227;o card&#237;aca e/ou doen&#231;a cardiovascular (DCV) pr&#233;via em pacientes com COVID-19 est&#227;o associadas a pior progn&#243;stico.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> A ecocardiografia transtor&#225;cica (ETT) tem um papel central no manejo dos pacientes, pois fornece uma avalia&#231;&#227;o crucial das anormalidades da fun&#231;&#227;o e estrutura card&#237;acas que impactam em seu progn&#243;stico e tratamento.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> Estudos relataram taxas variadas de disfun&#231;&#227;o do ventr&#237;culo esquerdo (VE) e ventr&#237;culo direito (VD), mas n&#227;o est&#225; claro com que frequ&#234;ncia a disfun&#231;&#227;o card&#237;aca resulta diretamente da COVID-19.<sup><xref ref-type="bibr" rid="B3">3</xref>&#8211;<xref ref-type="bibr" rid="B6">6</xref></sup> Descrevemos a preval&#234;ncia dos principais achados ecocardiogr&#225;ficos anormais em pacientes hospitalizados com COVID-19 com e sem doen&#231;a cardiovascular DCV pr&#233;via atrav&#233;s de um estudo colaborativo multic&#234;ntrico do mundo real (Registro Brasileiro de Ecocardiografia durante a pandemia de COVID-19, ou ECOVID).</p>
    </sec>
    <sec sec-type="methods">
      <title>M&#233;todos</title>
      <p>O ECOVID &#233; um estudo observacional multic&#234;ntrico prospectivo de pacientes hospitalizados com COVID-19 no Brasil, iniciado em 4 de abril de 2020, ao coletar dados cl&#237;nicos e ecocardiogr&#225;ficos das cinco macrorregi&#245;es do pa&#237;s. A descri&#231;&#227;o completa dos m&#233;todos do estudo foi detalhada no <xref ref-type="app" rid="app1">Material Suplementar</xref>. Resumidamente, pacientes hospitalizados consecutivos (&gt;18 anos) com COVID-19 confirmado ou altamente prov&#225;vel foram inclu&#237;dos. Em cada centro participante, os dados cl&#237;nicos foram obtidos atrav&#233;s dos prontu&#225;rios m&#233;dicos e entrevista dos pacientes com cardiologistas, e as medidas ecocardiogr&#225;ficas foram obtidas localmente. Os resultados foram registrados atrav&#233;s de um formul&#225;rio online de relato de caso. A maioria dos exames ecocardiogr&#225;ficos usou um protocolo focado, a fim de diminuir o risco para o profissional de sa&#250;de.<sup><xref ref-type="bibr" rid="B7">7</xref></sup> A aquisi&#231;&#227;o e interpreta&#231;&#227;o das imagens foram realizadas por m&#233;dicos certificados, de acordo com as diretrizes internacionais.<sup><xref ref-type="bibr" rid="B8">8</xref>,<xref ref-type="bibr" rid="B9">9</xref></sup> Especificamente, a disfun&#231;&#227;o sist&#243;lica do VE foi definida pela fra&#231;&#227;o de eje&#231;&#227;o do VE (FEVE) &lt;50% (discreta entre 40-49%; moderada entre 30-39% e grave &lt;30%). A disfun&#231;&#227;o diast&#243;lica do VE, a disfun&#231;&#227;o sist&#243;lica do VD e a press&#227;o sist&#243;lica da art&#233;ria pulmonar (PSAP) foram definidas e classificadas de acordo com as diretrizes (consulte o <xref ref-type="app" rid="app1">material suplementar</xref>). Os achados ecocardiogr&#225;ficos foram resumidos de acordo com a hist&#243;ria de DCV pr&#233;via, como definida por obstru&#231;&#227;o &#8805;50% em qualquer art&#233;ria coron&#225;ria demonstrada por angiotomografia coronariana ou angiografia coron&#225;ria, revasculariza&#231;&#227;o coron&#225;ria, infarto do mioc&#225;rdio, insufici&#234;ncia card&#237;aca ou fibrila&#231;&#227;o atrial. Este estudo foi aprovado pelo comit&#234; de &#233;tica do centro coordenador (# 4.033.139) e pelos comit&#234;s de &#233;tica locais de cada centro participante.</p>
      <sec>
        <title>An&#225;lise estat&#237;stica</title>
        <p>As vari&#225;veis cont&#237;nuas foram apresentadas como m&#233;dia &#177; desvio padr&#227;o. A distribui&#231;&#227;o Gaussiana dos dados foi analisada observando-se a forma da distribui&#231;&#227;o, assimetria, curtose e utilizando o teste de Kolmogorov-Smirnov. Os dados categ&#243;ricos foram expressos como contagens e porcentagens. Os par&#226;metros cl&#237;nicos, demogr&#225;ficos e ecocardiogr&#225;ficos foram comparados entre os indiv&#237;duos com e sem hist&#243;ria de DCV pr&#233;via atrav&#233;s do teste <italic>t</italic> de Student n&#227;o pareado ou teste do qui-quadrado, conforme apropriado. Consideramos valores de p &lt;0,05 como estatisticamente significativos. As an&#225;lises estat&#237;sticas foram realizadas no software Stata vers&#227;o 15.1 (Stata Corp, College Station, TX).</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <p>Foram inclu&#237;dos 223 pacientes hospitalizados entre 4 de abril e 9 de setembro de 2020, com idade de 61,4 &#177; 15,3 anos (varia&#231;&#227;o de 19 a 94 anos), 59% homens, 83% com COVID-19 confirmado por RT-PCR, e 17% com COVID-19 altamente prov&#225;vel . As principais indica&#231;&#245;es cl&#237;nicas para encaminhamento para ecocardiografia foram suspeita de insufici&#234;ncia card&#237;aca (50%), suspeita de s&#237;ndrome coronariana aguda (dor tor&#225;cica, anormalidades no eletrocardiograma e eleva&#231;&#227;o da troponina) (20%), instabilidade hemodin&#226;mica (18%), suspeita de miocardite (16%), suspeita de embolia pulmonar (6%), arritmias clinicamente relevantes (5%) e outros (como suspeita de derrame peric&#225;rdico, endocardite, s&#237;ncope e fonte cardioemb&#243;lica de acidente vascular cerebral) (5%).</p>
      <p>A <xref ref-type="table" rid="t1">Tabela 1</xref> resume os dados demogr&#225;ficos, caracter&#237;sticas cl&#237;nicas e comorbidades da popula&#231;&#227;o. Pacientes sem DCV pr&#233;via eram mais jovens e tinham menor preval&#234;ncia de fatores de risco cardiovascular, como hipertens&#227;o, diabetes e tabagismo, e eram menos propensos a ter doen&#231;a pulmonar obstrutiva cr&#244;nica e doen&#231;a renal cr&#244;nica, quando comparados com pacientes com DCV pr&#233;via (<xref ref-type="table" rid="t1">Tabela 1</xref>). Os sintomas e medidas de suporte relacionados ao COVID-19 foram semelhantes entre os pacientes sem e com DCV pr&#233;via (<xref ref-type="app" rid="app1">Tabela suplementar 1</xref>).</p>
      <table-wrap id="t1">
        <label>Tabela 1</label>
        <caption>
          <title>Dados demogr&#225;ficos e comorbidades em pacientes hospitalizados com COVID-19 de acordo com hist&#243;ria de doen&#231;a cardiovascular pr&#233;via</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="20%">
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="center" rowspan="2" valign="middle"/>
              <th align="center" valign="middle">Todos os pacientes</th>
              <th align="center" valign="middle">Sem DCV anterior</th>
              <th align="center" valign="middle">Com DCV anterior</th>
              <th align="center" rowspan="2" valign="middle">p-valor</th>
            </tr>
            <tr>
              <th align="center" valign="middle">n=223</th>
              <th align="center" valign="middle">n=173</th>
              <th align="center" valign="middle">n=50</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">Idade, anos</td>
              <td align="center" valign="middle">61,4&#177; 15,3</td>
              <td align="center" valign="middle">59 &#177; 15</td>
              <td align="center" valign="middle">68 &#177; 14</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Sexo masculino, n (%)</td>
              <td align="center" valign="middle">132 (59,2%)</td>
              <td align="center" valign="middle">103 (59,5%)</td>
              <td align="center" valign="middle">29 (58,0%)</td>
              <td align="center" valign="middle">0,85</td>
            </tr>
            <tr>
              <td align="left" valign="middle">IMC, Kg/m<sup>2</sup></td>
              <td align="center" valign="middle">27,6&#177; 5,0</td>
              <td align="center" valign="middle">27,6 &#177; 5,3</td>
              <td align="center" valign="middle">27,5 &#177; 3,6</td>
              <td align="center" valign="middle">0,83</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Obesidade, n (%)</td>
              <td align="center" valign="middle">60 (26,9%)</td>
              <td align="center" valign="middle">49 (28,3%)</td>
              <td align="center" valign="middle">11 (22,0%)</td>
              <td align="center" valign="middle">0,37</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Hipertens&#227;o, n (%)</td>
              <td align="center" valign="middle">115 (51,6%)</td>
              <td align="center" valign="middle">78 (45,1%)</td>
              <td align="center" valign="middle">37 (74,0%)</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Diabetes mellitus, n (%)</td>
              <td align="center" valign="middle">77 (34,5%)</td>
              <td align="center" valign="middle">47 (27,2%)</td>
              <td align="center" valign="middle">30 (60,0%)</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Tabagismo, n (%)</td>
              <td align="center" valign="middle">30 (13,5%)</td>
              <td align="center" valign="middle">17 (9,8 %)</td>
              <td align="center" valign="middle">13 (26,0%)</td>
              <td align="center" valign="middle">0,003</td>
            </tr>
            <tr>
              <td align="left" valign="middle">DAC pr&#233;via, n (%)</td>
              <td align="center" valign="middle">30 (13,5%)</td>
              <td align="left" valign="middle"/>
              <td align="center" valign="middle">30 (60,0%)</td>
              <td align="center" valign="middle">ND</td>
            </tr>
            <tr>
              <td align="left" valign="middle">IC pr&#233;via, n (%)</td>
              <td align="center" valign="middle">16 (7,2%)</td>
              <td align="left" valign="middle"/>
              <td align="center" valign="middle">16 (32,0%)</td>
              <td align="center" valign="middle">ND</td>
            </tr>
            <tr>
              <td align="left" valign="middle">FA pr&#233;via, n (%)</td>
              <td align="center" valign="middle">9 (4,0%)</td>
              <td align="left" valign="middle"/>
              <td align="center" valign="middle">9 (18,0%)</td>
              <td align="center" valign="middle">ND</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Doen&#231;a pulmonar, n (%)</td>
              <td align="center" valign="middle">24 (10,8%)</td>
              <td align="center" valign="middle">14 (8,1 %)</td>
              <td align="center" valign="middle">10 (20,0%)</td>
              <td align="center" valign="middle">0,017</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Doen&#231;a Renal Cr&#244;nica, n (%)</td>
              <td align="center" valign="middle">28 (12,6%)</td>
              <td align="center" valign="middle">17 (9,8 %)</td>
              <td align="center" valign="middle">11 (22,0%)</td>
              <td align="center" valign="middle">0,022</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Di&#225;lise, n (%)</td>
              <td align="center" valign="middle">3 (1,3%)</td>
              <td align="center" valign="middle">3 (1,7 %)</td>
              <td align="center" valign="middle">0 (0,0 %)</td>
              <td align="center" valign="middle">0,35</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Doen&#231;a Cerebrovascular, n (%)</td>
              <td align="center" valign="middle">7 (3,1%)</td>
              <td align="center" valign="middle">4 (2,3 %)</td>
              <td align="center" valign="middle">3 (6,0 %)</td>
              <td align="center" valign="middle">0,19</td>
            </tr>
            <tr>
              <td align="left" valign="middle">C&#226;ncer, n (%)</td>
              <td align="center" valign="middle">5 (2,2%)</td>
              <td align="center" valign="middle">2 (1,2 %)</td>
              <td align="center" valign="middle">3 (6,0 %)</td>
              <td align="center" valign="middle">0,042</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN1">
            <p>DCV: doen&#231;a cardiovascular; IMC: &#237;ndice de massa corporal; DAC: doen&#231;a arterial coronariana; IC: insufici&#234;ncia card&#237;aca; FA: fibrila&#231;&#227;o atrial; DPOC: doen&#231;a pulmonar obstrutiva cr&#244;nica.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>A <xref ref-type="table" rid="t2">Tabela 2</xref> mostra os principais achados ecocardiogr&#225;ficos em pacientes hospitalizados com COVID-19 de acordo com hist&#243;ria de DCV pr&#233;via. Como esperado, os pacientes sem DCV eram menos propensos a apresentar achados ecocardiogr&#225;ficos sugerindo estrutura e / ou fun&#231;&#227;o do VE anormais, incluindo hipertrofia do VE (27 vs. 52%, p &lt;0,001), disfun&#231;&#227;o sist&#243;lica do VE (13 vs. 34%, p &lt;0,001), anormalidades da contratilidade regional (8 vs. 24%, p &lt;0,001) e disfun&#231;&#227;o diast&#243;lica do VE grau II ou III (11 vs. 26%, p = 0,011). Por outro lado, apenas 52% dos pacientes sem DCV pr&#233;via apresentavam ecocardiograma normal (<xref ref-type="fig" rid="f1">Figura 1</xref>). A disfun&#231;&#227;o sist&#243;lica do VD (17 vs. 22%, p = 0,40) e hipertens&#227;o pulmonar (24 vs. 38%, p = 0,06) foram relativamente comuns e semelhantes entre pacientes sem e com DCV pr&#233;via. A disfun&#231;&#227;o sist&#243;lica do VD tamb&#233;m foi comum em pacientes sem doen&#231;a pulmonar pr&#233;via (15 vs. 20% para pacientes sem e com DCV pr&#233;via, respectivamente, p = 0,45). Derrame peric&#225;rdico e regurgita&#231;&#227;o valvar moderada a grave foram incomuns. Digno de nota, entre os pacientes sem DCV pr&#233;via e presumivelmente nova disfun&#231;&#227;o sist&#243;lica do VE (n = 21), 48% deles apresentaram anormalidades da contratilidade regional. Nenhum paciente apresentou evid&#234;ncia de anormalidades regionais sugestivas de cardiomiopatia induzida por estresse. Os resultados da ecocardiografia mudaram o manejo cl&#237;nico em 25% dos casos, principalmente desencadeando o in&#237;cio da terapia para insufici&#234;ncia card&#237;aca ou anticoagula&#231;&#227;o ou encaminhamento para cateterismo.</p>
      <fig id="f1">
        <label>Figura 1</label>
        <caption>
          <title>Achados ecocardiogr&#225;ficos em pacientes hospitalizados com COVID-19 sem doen&#231;a cardiovascular pr&#233;via. HVE: hipertrofia do ventr&#237;culo esquerdo; VE: ventr&#237;culo esquerdo; VD: ventr&#237;culo direito; HP; hipertens&#227;o pulmonar. * Refere-se &#224; anormalidade da contratilidade regional do VE. &#8224; A disfun&#231;&#227;o diast&#243;lica do VE inclui apenas disfun&#231;&#227;o diast&#243;lica do VE moderada ou grave.</title>
        </caption>
        <graphic xlink:href="1678-4170-abc-117-06-1207-01300-gf01.tif"/></fig>
      <table-wrap id="t2">
        <label>Tabela 2</label>
        <caption>
          <title>Achados ecocardiogr&#225;ficos em pacientes hospitalizados com COVID-19 de acordo com hist&#243;ria de doen&#231;a cardiovascular pr&#233;via</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="20%">
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="left" rowspan="2" valign="middle">Par&#226;metro</th>
              <th align="center" valign="middle">Todos os pacientes</th>
              <th align="center" valign="middle">Sem DCV anterior</th>
              <th align="center" valign="middle">Com DCV anterior</th>
              <th align="center" rowspan="2" valign="middle">p-valor</th>
            </tr>
            <tr>
              <th align="center" valign="middle">n=223</th>
              <th align="center" valign="middle">n=173</th>
              <th align="center" valign="middle">n=50</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">Hipertrofia do VE, n(%)</td>
              <td align="center" valign="middle">73 (32,7%)</td>
              <td align="center" valign="middle">47 (27,2%)</td>
              <td align="center" valign="middle">26 (52,0%)</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Dilata&#231;&#227;o do VE, n(%)</td>
              <td align="center" valign="middle">31 (14,0%)</td>
              <td align="center" valign="middle">13 (7,6%)</td>
              <td align="center" valign="middle">18 (36,0%)</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Disfun&#231;&#227;o sist&#243;lica do VE, n(%)</td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="center" valign="middle">0,005</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Nenhuma</td>
              <td align="center" valign="middle">183 (82,1%)</td>
              <td align="center" valign="middle">150 (86,7%)</td>
              <td align="center" valign="middle">33 (66,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Discreta</td>
              <td align="center" valign="middle">10 (4,5%)</td>
              <td align="center" valign="middle">7 (4,0%)</td>
              <td align="center" valign="middle">3 (6,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Moderada</td>
              <td align="center" valign="middle">14 (6,3%)</td>
              <td align="center" valign="middle">8 (4,6%)</td>
              <td align="center" valign="middle">6 (12,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Grave</td>
              <td align="center" valign="middle">16 (7,2%)</td>
              <td align="center" valign="middle">8 (4,6%)</td>
              <td align="center" valign="middle">8 (16,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Disfun&#231;&#227;o diast&#243;lica do VE, n(%)</td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Nenhuma</td>
              <td align="center" valign="middle">88 (42,5%)</td>
              <td align="center" valign="middle">82 (49,7%)</td>
              <td align="center" valign="middle">6 (14,3%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Discreta</td>
              <td align="center" valign="middle">90 (43,5%)</td>
              <td align="center" valign="middle">65 (39,4%)</td>
              <td align="center" valign="middle">25 (59,5%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Moderada</td>
              <td align="center" valign="middle">27 (13,0%)</td>
              <td align="center" valign="middle">17 (10,3%)</td>
              <td align="center" valign="middle">10 (23,8%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Grave</td>
              <td align="center" valign="middle">2 (1,0%)</td>
              <td align="center" valign="middle">1 (0,6%)</td>
              <td align="center" valign="middle">1 (2,4%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Desconhecida</td>
              <td align="center" valign="middle">16 (7,2%)</td>
              <td align="center" valign="middle">8 (4,6%)</td>
              <td align="center" valign="middle">8 (16,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Anormalidade da contratilidade regional do VE, n(%)</td>
              <td align="center" valign="middle">25 (11,2%)</td>
              <td align="center" valign="middle">13 (7,5%)</td>
              <td align="center" valign="middle">12 (24,0%)</td>
              <td align="center" valign="middle">0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Disfun&#231;&#227;o do VD, n(%)</td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="center" valign="middle">0,20</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Nenhuma</td>
              <td align="center" valign="middle">183 (82,1%)</td>
              <td align="center" valign="middle">144 (83,2%)</td>
              <td align="center" valign="middle">39 (78,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Discreta</td>
              <td align="center" valign="middle">21 (9,4%)</td>
              <td align="center" valign="middle">17 (9,8%)</td>
              <td align="center" valign="middle">4 (8,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Moderada</td>
              <td align="center" valign="middle">9 (4,0%)</td>
              <td align="center" valign="middle">7 (4,0%)</td>
              <td align="center" valign="middle">2 (4,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Grave</td>
              <td align="center" valign="middle">10 (4,5%)</td>
              <td align="center" valign="middle">5 (2,9%)</td>
              <td align="center" valign="middle">5 (10,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Hipertens&#227;o pulmonar</td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="center" valign="middle">0,06</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Nenhuma</td>
              <td align="center" valign="middle">160 (72,4%)</td>
              <td align="center" valign="middle">129 (75,4%)</td>
              <td align="center" valign="middle">31 (62,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Discreta</td>
              <td align="center" valign="middle">36 (16,3%)</td>
              <td align="center" valign="middle">28 (16,4%)</td>
              <td align="center" valign="middle">8 (16,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Moderada</td>
              <td align="center" valign="middle">21 (9,5%)</td>
              <td align="center" valign="middle">12 (7,0%)</td>
              <td align="center" valign="middle">9 (18,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Grave</td>
              <td align="center" valign="middle">4 (1,8%)</td>
              <td align="center" valign="middle">2 (1,2%)</td>
              <td align="center" valign="middle">2 (4,0%)</td>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Regurgita&#231;&#227;o valvar moderada ou grave, n(%)</td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">A&#243;rtica</td>
              <td align="center" valign="middle">2 (0,9%)</td>
              <td align="center" valign="middle">1 (0,6%)</td>
              <td align="center" valign="middle">1 (2,0%)</td>
              <td align="center" valign="middle">0,34</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Mitral</td>
              <td align="center" valign="middle">10 (4,5%)</td>
              <td align="center" valign="middle">6 (3,5%)</td>
              <td align="center" valign="middle">4 (8,2%)</td>
              <td align="center" valign="middle">0,16</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Tric&#250;spide</td>
              <td align="center" valign="middle">8 (3,6%)</td>
              <td align="center" valign="middle">4 (2,3%)</td>
              <td align="center" valign="middle">4 (8,2%)</td>
              <td align="center" valign="middle">0,05</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Derrame peric&#225;rdico, n(%)</td>
              <td align="center" valign="middle">5 (2,2%)</td>
              <td align="center" valign="middle">5 (2,9%)</td>
              <td align="center" valign="middle">0 (0,0%)</td>
              <td align="center" valign="middle">0,22</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN2">
            <p>DCV: doen&#231;a cardiovascular; VE: ventr&#237;culo esquerdo; VD: ventr&#237;culo direito.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discuss&#227;o</title>
      <p>Neste registro multic&#234;ntrico, observamos que anormalidades clinicamente relevantes na fun&#231;&#227;o ou estrutura card&#237;acas foram relativamente comuns em pacientes hospitalizados com COVID-19, mesmo entre aqueles sem DCV pr&#233;via, com cerca de metade apresentando pelo menos um achado anormal. Al&#233;m disso, um em cada oito pacientes sem DCV pr&#233;via apresentava pelo menos uma anormalidade ecocardiogr&#225;fica grave.</p>
      <p>Estudos anteriores descrevendo achados ecocardiogr&#225;ficos em pacientes com COVID-19 foram consideravelmente heterog&#234;neos. A preval&#234;ncia de disfun&#231;&#227;o sist&#243;lica do VE, disfun&#231;&#227;o do VD e dilata&#231;&#227;o do VD variou de 5,4<sup><xref ref-type="bibr" rid="B10">10</xref></sup> a 37,4%,<sup><xref ref-type="bibr" rid="B4">4</xref></sup> 3,6,<sup><xref ref-type="bibr" rid="B11">11</xref></sup> a 33%,<sup><xref ref-type="bibr" rid="B12">12</xref></sup> e 0,12 a 46,9%,<sup><xref ref-type="bibr" rid="B13">13</xref></sup> respectivamente. Essa grande varia&#231;&#227;o pode estar relacionada a vi&#233;s de refer&#234;ncia, diferentes protocolos de ETT, defini&#231;&#245;es imprecisas de anormalidades ecocardiogr&#225;ficas e diferen&#231;as nas caracter&#237;sticas da popula&#231;&#227;o, como a propor&#231;&#227;o de pacientes com DCV pr&#233;via. A fim de diminuir o vi&#233;s de refer&#234;ncia, Szekely et al.,<sup><xref ref-type="bibr" rid="B5">5</xref></sup> realizaram sistematicamente o ETT em 100 pacientes consecutivos hospitalizados por COVID-19, 43% dos quais tinham DCV pr&#233;via. Eles encontraram como altera&#231;&#227;o mais frequente disfun&#231;&#227;o/dilata&#231;&#227;o do VD, enquanto apenas uma minoria dos pacientes (10%) apresentava disfun&#231;&#227;o sist&#243;lica do VE.<sup><xref ref-type="bibr" rid="B5">5</xref></sup></p>
      <p>Nosso estudo chama a aten&#231;&#227;o para a import&#226;ncia da DCV pr&#233;via na preval&#234;ncia de achados ecocardiogr&#225;ficos de pacientes hospitalizados com COVID-19. Enquanto a disfun&#231;&#227;o do VD foi comum e aparentemente n&#227;o relacionada &#224; preval&#234;ncia de DCV pr&#233;via, a disfun&#231;&#227;o sist&#243;lica e diast&#243;lica do VE foram mais comuns em pacientes com DCV pr&#233;via, provavelmente devido em parte a condi&#231;&#245;es cardiovasculares pr&#233;-existentes. &#201; digno de nota que 13% dos pacientes sem DCV tinham disfun&#231;&#227;o sist&#243;lica do VE, o que pode refletir um comprometimento &#8220;<italic>de novo</italic>&#8221; do VE relacionado &#224; COVID-19. Por outro lado, a hipertens&#227;o pulmonar e a disfun&#231;&#227;o sist&#243;lica do VD t&#234;m maior probabilidade de resultar de uma mir&#237;ade de fen&#244;menos que afetam os pulm&#245;es, como hip&#243;xia, inflama&#231;&#227;o, s&#237;ndrome do desconforto respirat&#243;rio agudo, trombose microvascular pulmonar, tromboembolismo pulmonar e ventila&#231;&#227;o mec&#226;nica.</p>
      <p>Como os principais esfor&#231;os da comunidade cient&#237;fica visam mitigar as graves consequ&#234;ncias para a sa&#250;de causadas pela pandemia de COVID-19, torna-se um desafio equilibrar o uso da ecocardiografia para fornecer cuidados m&#233;dicos de alta qualidade sem aumentar excessivamente o risco de infec&#231;&#227;o cruzada entre profissionais de sa&#250;de e pacientes. Nossos resultados ajudam a compreender, atrav&#233;s de um registro nacional do mundo real, quais par&#226;metros da fun&#231;&#227;o card&#237;aca s&#227;o mais frequentemente acometidos em pacientes hospitalizados com COVID-19, de acordo com a hist&#243;ria de DCV pr&#233;via. &#201; importante enfatizar que a presen&#231;a de disfun&#231;&#227;o card&#237;aca &#233; independentemente associada a um pior progn&#243;stico em pacientes com COVID-19.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> A avalia&#231;&#227;o por ETT deve ser considerada em pacientes com COVID-19 e suspeita de complica&#231;&#245;es cardiovasculares para caracterizar o substrato card&#237;aco subjacente, para estratifica&#231;&#227;o de risco, e para potencialmente orientar as estrat&#233;gias de manejo.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> Por outro lado, suas indica&#231;&#245;es devem ser baseadas na considera&#231;&#227;o cr&#237;tica dos benef&#237;cios para o paciente, risco de contamina&#231;&#227;o para profissionais de sa&#250;de e uso limitado de equipamento de prote&#231;&#227;o individual.</p>
      <p>Nosso estudo tem limita&#231;&#245;es que merecem aten&#231;&#227;o. Primeiro, as medidas ecocardiogr&#225;ficas foram realizadas por investigadores locais sem avalia&#231;&#227;o final por um laborat&#243;rio central. Apesar disso, todos os ecocardiogramas foram realizados por m&#233;dicos experientes, que seguiram os procedimentos de acordo com as diretrizes internacionais. Em segundo lugar, os achados anormais podem ter sido superestimados devido ao vi&#233;s de encaminhamento, uma vez que os ecocardiogramas foram realizados a crit&#233;rio do m&#233;dico assistente. Terceiro, os biomarcadores s&#233;ricos de les&#227;o mioc&#225;rdica n&#227;o estavam dispon&#237;veis neste estudo. Finalmente, embora tenhamos descrito os achados de ETT em pacientes sem DCV pr&#233;via, ainda assim n&#227;o &#233; poss&#237;vel descartar se essas anormalidades card&#237;acas eram pr&#233;-existentes e esses resultados devem ser interpretados com cautela.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclus&#245;es</title>
      <p>Entre os pacientes hospitalizados com COVID-19 submetidos ao ecocardiograma, a disfun&#231;&#227;o sist&#243;lica do VD e do VE foi encontrada em quase um de cada cinco pacientes, mas esta &#250;ltima foi menos comum entre aqueles sem DCV pr&#233;via. Somente metade dos pacientes sem DCV pr&#233;via apresentou um ETT normal.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="supported-by" id="fn1">
        <p>
          <bold>Fontes de financiamento</bold>
        </p>
        <p>O presente estudo n&#227;o teve fontes de financiamento externas.</p>
      </fn>
      <fn fn-type="other" id="fn2">
        <p>
          <bold>Vincula&#231;&#227;o acad&#234;mica</bold>
        </p>
        <p>N&#227;o h&#225; vincula&#231;&#227;o deste estudo a programas de p&#243;s&#8209;gradua&#231;&#227;o.</p>
      </fn>
    </fn-group>
    <ack>
      <title>Agradecimentos</title>
      <p>Gostar&#237;amos de agradecer aos seguintes colegas que auxiliaram na realiza&#231;&#227;o desta pesquisa: Francisco de Assis Carvalho Santana; Fernando Melo Netto, Simone Ferreira Leite, Bianca Corr&#234;a Rocha de Mello, Dassis Cajuba, Filipe Lima de Menezes, Nathalia Caetano Lobo, Vanessa Guimar&#227;es Esmanhoto Andrioli, Pedro Gabriel Melo de Barros e Silva.</p>
    </ack>
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      <app id="app1">
        <title>*Material suplementar</title>
        <p>Para informa&#231;&#227;o adicional, por favor, <ext-link ext-link-type="uri" xlink:href="http://abccardiol.org/supplementary-material/2021/11706/2020-1300_CC_portugu&#234;s_supplemental_material.pdf">clique aqui</ext-link>.</p>
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  <sub-article article-type="translation" id="S01" xml:lang="en">
    <front-stub>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Letter</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Echocardiographic Findings in Patients with COVID-19 with and without Previous Cardiovascular Disease</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0711-7995</contrib-id>
          <name>
            <surname>Barberato</surname>
            <given-names>Silvio Henrique</given-names>
          </name>
          <xref ref-type="aff" rid="aff13">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff14">
            <sup>2</sup>
          </xref>
          <xref ref-type="corresp" rid="c2"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Borsoi</surname>
            <given-names>Rafael</given-names>
          </name>
          <xref ref-type="aff" rid="aff15">
            <sup>3</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-1254-6820</contrib-id>
          <name>
            <surname>Roston</surname>
            <given-names>Fabio</given-names>
          </name>
          <xref ref-type="aff" rid="aff16">
            <sup>4</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-2543-7308</contrib-id>
          <name>
            <surname>Miranda</surname>
            <given-names>Hudson Laerte Machado</given-names>
          </name>
          <xref ref-type="aff" rid="aff17">
            <sup>5</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Patriota</surname>
            <given-names>Pedro</given-names>
          </name>
          <xref ref-type="aff" rid="aff18">
            <sup>6</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2634-4632</contrib-id>
          <name>
            <surname>Otto</surname>
            <given-names>Maria Estefania</given-names>
          </name>
          <xref ref-type="aff" rid="aff19">
            <sup>7</sup>
          </xref>
          <xref ref-type="aff" rid="aff20">
            <sup>8</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Beck</surname>
            <given-names>Adenalva Lima de Souza</given-names>
          </name>
          <xref ref-type="aff" rid="aff20">
            <sup>7</sup>
          </xref>
          <xref ref-type="aff" rid="aff21">
            <sup>9</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Armstrong</surname>
            <given-names>Anderson da Costa</given-names>
          </name>
          <xref ref-type="aff" rid="aff18">
            <sup>6</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8836-345X</contrib-id>
          <name>
            <surname>Ferreira</surname>
            <given-names>Jo&#227;o Marcos Bemfica Barbosa</given-names>
          </name>
          <xref ref-type="aff" rid="aff22">
            <sup>10</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Camarozano</surname>
            <given-names>Ana Cristina</given-names>
          </name>
          <xref ref-type="aff" rid="aff23">
            <sup>11</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Silva</surname>
            <given-names>Let&#237;cia Braga Paciello da</given-names>
          </name>
          <xref ref-type="aff" rid="aff24">
            <sup>12</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Resende</surname>
            <given-names>Marcos Val&#233;rio Coimbra</given-names>
          </name>
          <xref ref-type="aff" rid="aff24">
            <sup>12</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-4561-5717</contrib-id>
          <name>
            <surname>Vieira</surname>
            <given-names>Marcelo Luiz Campos</given-names>
          </name>
          <xref ref-type="aff" rid="aff24">
            <sup>12</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0095-9049</contrib-id>
          <name>
            <surname>Fernandes-Silva</surname>
            <given-names>Miguel Morita</given-names>
          </name>
          <xref ref-type="aff" rid="aff13">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff15">
            <sup>3</sup>
          </xref>
        </contrib>
        <aff id="aff13">
          <label>1</label>
          <addr-line>
            <named-content content-type="city">Curitiba</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Quanta Diagn&#243;stico &#8211; Ecocardiografia, Curitiba, PR &#8211; Brazil</institution>
        </aff>
        <aff id="aff14">
          <label>2</label>
          <addr-line>
            <named-content content-type="city">Curitiba</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">CardioEco Centro de Diagn&#243;stico Cardiovascular, Curitiba, PR &#8211; Brazil</institution>
        </aff>
        <aff id="aff15">
          <label>3</label>
          <addr-line>
            <named-content content-type="city">Curitiba</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital de Cl&#237;nicas da Universidade Federal do Paran&#225;, Curitiba, PR &#8211; Brazil</institution>
        </aff>
        <aff id="aff16">
          <label>4</label>
          <addr-line>
            <named-content content-type="city">Londrina</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital Universit&#225;rio da Universidade Estadual de Londrina, Londrina, PR &#8211; Brazil</institution>
        </aff>
        <aff id="aff17">
          <label>5</label>
          <addr-line>
            <named-content content-type="city">Manaus</named-content>
            <named-content content-type="state">AM</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital Samel, Manaus, AM &#8211; Brazil</institution>
        </aff>
        <aff id="aff18">
          <label>6</label>
          <addr-line>
            <named-content content-type="city">Petrolina</named-content>
            <named-content content-type="state">PE</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital Universit&#225;rio da Universidade Federal do Vale do S&#227;o Francisco, Petrolina, PE &#8211; Brazil</institution>
        </aff>
        <aff id="aff19">
          <label>7</label>
          <addr-line>
            <named-content content-type="city">Bras&#237;lia</named-content>
            <named-content content-type="state">DF</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Instituto de Cardiologia do Distrito Federal (ICDF), Bras&#237;lia, DF &#8211; Brazil</institution>
        </aff>
        <aff id="aff20">
          <label>8</label>
          <addr-line>
            <named-content content-type="city">Bras&#237;lia</named-content>
            <named-content content-type="state">DF</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital Sirio Liban&#234;s, Bras&#237;lia, DF &#8211; Brazil</institution>
        </aff>
        <aff id="aff21">
          <label>9</label>
          <addr-line>
            <named-content content-type="city">Bras&#237;lia</named-content>
            <named-content content-type="state">DF</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital Santa L&#250;cia de Bras&#237;lia, Bras&#237;lia, DF &#8211; Brazil</institution>
        </aff>
        <aff id="aff22">
          <label>10</label>
          <addr-line>
            <named-content content-type="city">Manaus</named-content>
            <named-content content-type="state">AM</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Universidade do Estado do Amazonas, Manaus, AM &#8211; Brazil</institution>
        </aff>
        <aff id="aff23">
          <label>11</label>
          <addr-line>
            <named-content content-type="city">Curitiba</named-content>
            <named-content content-type="state">PR</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital Nossa Senhora das Gra&#231;as, Curitiba, PR &#8211; Brazil</institution>
        </aff>
        <aff id="aff24">
          <label>12</label>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital Samaritano, S&#227;o Paulo, SP &#8211; Brazil</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c2"><bold>Mailing Address: Silvio Henrique Barberato</bold> &#8226; CardioEco Centro de Diagn&#243;stico Cardiovascular - Avenida Rep&#250;blica Argentina, 1336, conj 215. Postal Code <postal-code>80620-010</postal-code>, Curitiba, PR - Brazil. E-mail: <email>silviohb@cardiol.br</email> </corresp>
        <fn fn-type="con">
          <p>
            <bold>Author Contributions</bold>
          </p>
          <p>Conception and design of the research and Obtaining financing: Barberato SH, Borsoi R; Acquisition of data: Borsoi R, Roston F, Miranda HLM, Patriota P, Otto ME, Beck ALS, Armstrong AC, Ferreira JMBB, Camarozano AC, Silva LBP, Resende MVC, Vieira MLC; Analysis and interpretation of the data: Barberato SH, Borsoi R, Fernandes-Silva MM; Statistical analysis: Barberato SH, Borsoi R, Fernandes-Silva MM; Writing of the manuscript: Barberato SH; Critical revision of the manuscript for intellectual content: Barberato SH, Fernandes-Silva MM.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potential Conflict of Interest</bold>
          </p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <kwd-group xml:lang="en">
        <title>Keywords</title>
        <kwd>Acute Respiratory Syndrome/complications SARS-CoV2/complications</kwd>
        <kwd>Coronavirus-19/complications</kwd>
        <kwd>Pandemics</kwd>
        <kwd>Cardiac Function</kwd>
        <kwd>Cardiovascular Diseases/complications</kwd>
        <kwd>Heart Failure, Echocardiography/m&#233;thods</kwd>
        <kwd>Mortality</kwd>
        <kwd>Comorbidity</kwd>
      </kwd-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>Coronavirus disease-2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) may result in severe respiratory distress and acute cardiac injury. Impaired cardiac function and/or prior cardiovascular disease (CVD) in patients with COVID-19 are associated with worse prognosis.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> Transthoracic echocardiography (TTE) has a central role in the management of patients, as it provides a crucial assessment of abnormalities in cardiac function and structure that impact on their prognosis and treatment.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> Studies have reported varied rates of left ventricular (LV) and right ventricular (RV) dysfunction, but it is unclear how often cardiac dysfunction result directly from COVID-19.<sup><xref ref-type="bibr" rid="B3">3</xref>&#8211;<xref ref-type="bibr" rid="B6">6</xref></sup> We described the prevalence of the main abnormal echocardiographic findings in hospitalized patients with COVID-19 with and without previous cardiovascular disease (CVD) through a real-world, multicenter collaborative study (Brazilian Echocardiography Registry during COVID-19 pandemic, or ECOVID).</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <p>ECOVID is a prospective multicenter observational study of hospitalized patients with COVID-19 in Brazil that started on April 4<sup>th</sup>, 2020, by collecting clinical and echocardiographic data in all five macro-regions of the country. Full description of the study methods was detailed in the <xref ref-type="app" rid="app2">Supplemental Material</xref>. Briefly, consecutive hospitalized patients (&gt; 18 years old) with confirmed or highly probable COVID-19 were included. At each participant center, clinical data was obtained from medical charts and patient interview by cardiologists, and echocardiographic measures were locally obtained. The results were registered using an online case report form. Most echocardiographic scans used a focused protocol aiming to mitigate the risk to the healthcare professional.<sup><xref ref-type="bibr" rid="B7">7</xref></sup> Imaging acquisition and interpretation were performed by certified physicians according to international guidelines.<sup><xref ref-type="bibr" rid="B8">8</xref>,<xref ref-type="bibr" rid="B9">9</xref></sup> Specifically, LV systolic dysfunction was defined by LV ejection fraction (LVEF) below 50% (mild between 40-49%; moderate between 30-39%, and severe &lt;30%). LV diastolic dysfunction, RV systolic dysfunction and pulmonary artery systolic pressure (PASP) were defined and classified according to guidelines (please see <xref ref-type="app" rid="app2">Supplemental material</xref>). The echocardiographic findings were summarized according to the history of previous CVD, as defined by previous obstruction &#8805;50% in any major coronary artery demonstrated by coronary computed tomography angiography or coronary angiography, coronary revascularization, myocardial infarction, heart failure or atrial fibrillation. This study was approved by the ethics committee of the coordinating center (# 4.033.139) and the local ethics committees from each respective site.</p>
        <sec>
          <title>Statistical analysis</title>
          <p>Continuous variables were presented as mean &#177; standard deviation. The Gaussian distribution of the data was analyzed by looking at the shape of the distribution, skewness, kurtosis, and using the Kolmogorov-Smirnov test. Categorical data were expressed as counts and percentages. Clinical, demographic and echocardiographic parameters were compared between the individuals with and without history of previous CVD using unpaired Student's <italic>t</italic> test or Chi-squared test, accordingly. We considered statistically significant p-values&lt;0.05. Statistical analyses were performed using Stata version 15.1 (Stata Corp, College Station, TX).</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>We included 223 hospitalized patients admitted between April 4<sup>th</sup> and September 9<sup>th</sup>, 2020, aged 61.4 &#177; 15.3 years old (range19 to 94), 59% men, 83% with RT-PCR-confirmed COVID-19, 17% with highly probable COVID-19. The main clinical indications for referral for echocardiography were suspected heart failure (50%), suspected acute coronary syndrome (chest pain, electrocardiogram abnormalities and troponin elevation) (20%), hemodynamic instability (18%), suspected myocarditis (16%), suspected pulmonary embolism (6%), clinically relevant arrhythmias (5%), and others (such as suspected pericardial effusion, endocarditis, syncope, and cardioembolic source of brain stroke) (5%).</p>
        <p><xref ref-type="table" rid="t3">Table 1</xref> summarizes the demographics, clinical characteristics and comorbidities of the population. Patients without previous CVD were younger and had lower prevalence of cardiovascular risk factors, such as hypertension, diabetes and smoking, and were less likely to have chronic obstructive pulmonary disease and chronic kidney disease, when compared with patients with previous CVD (<xref ref-type="table" rid="t3">Table 1</xref>). COVID-19-related symptoms and supportive measures were similar between patients without and with previous CVD (<xref ref-type="app" rid="app2">Supplemental table 1</xref>).</p>
        <table-wrap id="t3">
          <label>Table 1</label>
          <caption>
            <title>Demographics and comorbidities in hospitalized patients with COVID-19 according to a history of previous cardiovascular disease</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="20%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" rowspan="2" valign="middle"/>
                <th align="center" valign="middle">All patients</th>
                <th align="center" valign="middle">No previous CVD</th>
                <th align="center" valign="middle">Previous CVD</th>
                <th align="center" rowspan="2" valign="middle">p value</th>
              </tr>
              <tr>
                <th align="center" valign="middle">n=223</th>
                <th align="center" valign="middle">n=173</th>
                <th align="center" valign="middle">n=50</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle">Age, years</td>
                <td align="center" valign="middle">61.4&#177; 15.3</td>
                <td align="center" valign="middle">59 &#177; 15</td>
                <td align="center" valign="middle">68 &#177; 14</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Male, n (%)</td>
                <td align="center" valign="middle">132 (59.2%)</td>
                <td align="center" valign="middle">103 (59.5%)</td>
                <td align="center" valign="middle">29 (58.0%)</td>
                <td align="center" valign="middle">0.85</td>
              </tr>
              <tr>
                <td align="left" valign="middle">BMI, Kg/m<sup>2</sup></td>
                <td align="center" valign="middle">27.6&#177; 5.0</td>
                <td align="center" valign="middle">27.6 &#177; 5.3</td>
                <td align="center" valign="middle">27.5 &#177; 3.6</td>
                <td align="center" valign="middle">0.83</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Obesity, n (%)</td>
                <td align="center" valign="middle">60 (26.9%)</td>
                <td align="center" valign="middle">49 (28.3%)</td>
                <td align="center" valign="middle">11 (22.0%)</td>
                <td align="center" valign="middle">0.37</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Hypertension, n (%)</td>
                <td align="center" valign="middle">115 (51.6%)</td>
                <td align="center" valign="middle">78 (45.1%)</td>
                <td align="center" valign="middle">37 (74.0%)</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Diabetes mellitus, n (%)</td>
                <td align="center" valign="middle">77 (34.5%)</td>
                <td align="center" valign="middle">47 (27.2%)</td>
                <td align="center" valign="middle">30 (60.0%)</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Smoking, n (%)</td>
                <td align="center" valign="middle">30 (13.5%)</td>
                <td align="center" valign="middle">17 (9.8 %)</td>
                <td align="center" valign="middle">13 (26.0%)</td>
                <td align="center" valign="middle">0.003</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Previous CAD, n (%)</td>
                <td align="center" valign="middle">30 (13.5%)</td>
                <td align="left" valign="middle"/>
                <td align="center" valign="middle">30 (60.0%)</td>
                <td align="center" valign="middle">ND</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Previous HF, n (%)</td>
                <td align="center" valign="middle">16 (7.2%)</td>
                <td align="left" valign="middle"/>
                <td align="center" valign="middle">16 (32.0%)</td>
                <td align="center" valign="middle">ND</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Previous AF, n (%)</td>
                <td align="center" valign="middle">9 (4.0%)</td>
                <td align="left" valign="middle"/>
                <td align="center" valign="middle">9 (18.0%)</td>
                <td align="center" valign="middle">ND</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Pulmonary disease, n (%)</td>
                <td align="center" valign="middle">24 (10.8%)</td>
                <td align="center" valign="middle">14 (8.1 %)</td>
                <td align="center" valign="middle">10 (20.0%)</td>
                <td align="center" valign="middle">0.017</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Chronic Kidney disease, n (%)</td>
                <td align="center" valign="middle">28 (12.6%)</td>
                <td align="center" valign="middle">17 (9.8 %)</td>
                <td align="center" valign="middle">11 (22.0%)</td>
                <td align="center" valign="middle">0.022</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Dialysis, n (%)</td>
                <td align="center" valign="middle">3 (1.3%)</td>
                <td align="center" valign="middle">3 (1.7 %)</td>
                <td align="center" valign="middle">0 (0.0 %)</td>
                <td align="center" valign="middle">0.35</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Cerebrovascular disease, n (%)</td>
                <td align="center" valign="middle">7 (3.1%)</td>
                <td align="center" valign="middle">4 (2.3 %)</td>
                <td align="center" valign="middle">3 (6.0 %)</td>
                <td align="center" valign="middle">0.19</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Cancer, n (%)</td>
                <td align="center" valign="middle">5 (2.2%)</td>
                <td align="center" valign="middle">2 (1.2 %)</td>
                <td align="center" valign="middle">3 (6.0 %)</td>
                <td align="center" valign="middle">0.042</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN3">
              <p>CVD: cardiovascular disease; BMI: body mass index; CAD: coronary artery disease; HF: Heart failure; AF: atrial fibrillation; COPD: Chronic obstructive pulmonary disease.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p><xref ref-type="table" rid="t4">Table 2</xref> shows the main echocardiographic findings in hospitalized patients with COVID-19 according to a history of previous CVD. As expected, patients without CVD were less likely to have echocardiographic findings suggesting abnormal LV structure and/or function, including LV hypertrophy (27 vs 52%, p&lt;0.001), LV systolic dysfunction (13 vs. 34%, p&lt;0.001), regional wall motion abnormalities (8 vs. 24%, p&lt;0.001) and grade II or III LV diastolic dysfunction (11 vs. 26%, p=0.011). On the other hand, only 52% of patients without previous CVD had a normal echocardiogram (<xref ref-type="fig" rid="f2">Figure 1</xref>). RV systolic dysfunction (17 vs. 22%, p=0.40) and pulmonary hypertension (24 vs. 38%, p=0.06) were relatively common and they were similar between patients without and with previous CVD. RV systolic dysfunction was also common in patients without previous pulmonary disease (15 vs. 20% for patients without and with previous CVD, respectively, p=0.45). Pericardial effusion and moderate-to-severe valve regurgitation were uncommon. Of note, in patients without previous CVD and presumably new LV systolic dysfunction (n=21), 48% of them displayed regional wall motion abnormalities. No patient had evidence of wall motion abnormalities suggestive of stress-induced cardiomyopathy. Echocardiography results changed clinical management in 25% of the cases, mostly triggering the initiation of therapy for heart failure or anticoagulation or referral to catheterization.</p>
        <fig id="f2">
          <label>Figure 1</label>
          <caption>
            <title>Echocardiographic findings in patients hospitalized for COVID-19 without previous cardiovascular disease. LVH: left ventricular hypertrophy; LV: left ventricle; RV: right ventricle; PH: pulmonary hypertension. *Refers to LV regional wall motion abnormality. &#8224;LV diastolic dysfunction includes only moderate or severe LV diastolic dysfunction.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-117-06-1207-01300-gf01-en.tif"/></fig>
        <table-wrap id="t4">
          <label>Table 2</label>
          <caption>
            <title>Echocardiographic findings in hospitalized patients with COVID-19 according to a history of previous cardiovascular disease</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="20%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" rowspan="2" valign="middle">Parameter</th>
                <th align="center" valign="middle">All patients</th>
                <th align="center" valign="middle">No previous CVD</th>
                <th align="center" valign="middle">Previous CVD</th>
                <th align="center" rowspan="2" valign="middle">p value</th>
              </tr>
              <tr>
                <th align="center" valign="middle">n=223</th>
                <th align="center" valign="middle">n=173</th>
                <th align="center" valign="middle">n=50</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle">LV hypertrophy, n(%)</td>
                <td align="center" valign="middle">73 (32.7%)</td>
                <td align="center" valign="middle">47 (27.2%)</td>
                <td align="center" valign="middle">26 (52.0%)</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">LV dilation, n(%)</td>
                <td align="center" valign="middle">31 (14.0%)</td>
                <td align="center" valign="middle">13 (7.6%)</td>
                <td align="center" valign="middle">18 (36.0%)</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">LV systolic dysfunction, n(%)</td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="center" valign="middle">0.005</td>
              </tr>
              <tr>
                <td align="left" valign="middle">None</td>
                <td align="center" valign="middle">183 (82.1%)</td>
                <td align="center" valign="middle">150 (86.7%)</td>
                <td align="center" valign="middle">33 (66.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Mild</td>
                <td align="center" valign="middle">10 (4.5%)</td>
                <td align="center" valign="middle">7 (4.0%)</td>
                <td align="center" valign="middle">3 (6.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Moderate</td>
                <td align="center" valign="middle">14 (6.3%)</td>
                <td align="center" valign="middle">8 (4.6%)</td>
                <td align="center" valign="middle">6 (12.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Severe</td>
                <td align="center" valign="middle">16 (7.2%)</td>
                <td align="center" valign="middle">8 (4.6%)</td>
                <td align="center" valign="middle">8 (16.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">LV diastolic dysfunction, n(%)</td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">None</td>
                <td align="center" valign="middle">88 (42.5%)</td>
                <td align="center" valign="middle">82 (49.7%)</td>
                <td align="center" valign="middle">6 (14.3%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Mild</td>
                <td align="center" valign="middle">90 (43.5%)</td>
                <td align="center" valign="middle">65 (39.4%)</td>
                <td align="center" valign="middle">25 (59.5%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Moderate</td>
                <td align="center" valign="middle">27 (13.0%)</td>
                <td align="center" valign="middle">17 (10.3%)</td>
                <td align="center" valign="middle">10 (23.8%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Severe</td>
                <td align="center" valign="middle">2 (1.0%)</td>
                <td align="center" valign="middle">1 (0.6%)</td>
                <td align="center" valign="middle">1 (2.4%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Unknown</td>
                <td align="center" valign="middle">16 (7.2%)</td>
                <td align="center" valign="middle">8 (4.6%)</td>
                <td align="center" valign="middle">8 (16.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">LV regional wall abnormality, n(%)</td>
                <td align="center" valign="middle">25 (11.2%)</td>
                <td align="center" valign="middle">13 (7.5%)</td>
                <td align="center" valign="middle">12 (24.0%)</td>
                <td align="center" valign="middle">0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">RV dysfunction, n(%)</td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="center" valign="middle">0.20</td>
              </tr>
              <tr>
                <td align="left" valign="middle">None</td>
                <td align="center" valign="middle">183 (82.1%)</td>
                <td align="center" valign="middle">144 (83.2%)</td>
                <td align="center" valign="middle">39 (78.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Mild</td>
                <td align="center" valign="middle">21 (9.4%)</td>
                <td align="center" valign="middle">17 (9.8%)</td>
                <td align="center" valign="middle">4 (8.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Moderate</td>
                <td align="center" valign="middle">9 (4.0%)</td>
                <td align="center" valign="middle">7 (4.0%)</td>
                <td align="center" valign="middle">2 (4.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Severe</td>
                <td align="center" valign="middle">10 (4.5%)</td>
                <td align="center" valign="middle">5 (2.9%)</td>
                <td align="center" valign="middle">5 (10.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Pulmonary hypertension</td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="center" valign="middle">0.06</td>
              </tr>
              <tr>
                <td align="left" valign="middle">None</td>
                <td align="center" valign="middle">160 (72.4%)</td>
                <td align="center" valign="middle">129 (75.4%)</td>
                <td align="center" valign="middle">31 (62.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Mild</td>
                <td align="center" valign="middle">36 (16.3%)</td>
                <td align="center" valign="middle">28 (16.4%)</td>
                <td align="center" valign="middle">8 (16.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Moderate</td>
                <td align="center" valign="middle">21 (9.5%)</td>
                <td align="center" valign="middle">12 (7.0%)</td>
                <td align="center" valign="middle">9 (18.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Severe</td>
                <td align="center" valign="middle">4 (1.8%)</td>
                <td align="center" valign="middle">2 (1.2%)</td>
                <td align="center" valign="middle">2 (4.0%)</td>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Moderate-to-severe valve regurgitation, n(%)</td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Aortic</td>
                <td align="center" valign="middle">2 (0.9%)</td>
                <td align="center" valign="middle">1 (0.6%)</td>
                <td align="center" valign="middle">1 (2.0%)</td>
                <td align="center" valign="middle">0.34</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Mitral</td>
                <td align="center" valign="middle">10 (4.5%)</td>
                <td align="center" valign="middle">6 (3.5%)</td>
                <td align="center" valign="middle">4 (8.2%)</td>
                <td align="center" valign="middle">0.16</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Tricuspid</td>
                <td align="center" valign="middle">8 (3.6%)</td>
                <td align="center" valign="middle">4 (2.3%)</td>
                <td align="center" valign="middle">4 (8.2%)</td>
                <td align="center" valign="middle">0.05</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Pericardial effusion, n(%)</td>
                <td align="center" valign="middle">5 (2.2%)</td>
                <td align="center" valign="middle">5 (2.9%)</td>
                <td align="center" valign="middle">0 (0.0%)</td>
                <td align="center" valign="middle">0.22</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN4">
              <p>CVD: cardiovascular disease; LV: left ventricular; RV: right ventricular.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <p>In this multicenter registry, we found that clinically relevant abnormalities in cardiac function or structure were relatively common among hospitalized patients with COVID-19, even in those without previous CVD, with roughly half showing at least one abnormal finding. Moreover, 1 in 8 patients without previous CVD had at least one severe echocardiographic abnormality.</p>
        <p>Previous studies describing echocardiographic findings in patients with COVID-19 have been considerable heterogeneous. The prevalence of LV systolic dysfunction, RV dysfunction and RV dilation have ranged from 5.4<sup><xref ref-type="bibr" rid="B10">10</xref></sup> to 37.4%,<sup><xref ref-type="bibr" rid="B4">4</xref></sup> 3.6,<sup><xref ref-type="bibr" rid="B11">11</xref></sup> to 33%,<sup><xref ref-type="bibr" rid="B12">12</xref></sup> and 0,12 to 46.9%,<sup><xref ref-type="bibr" rid="B13">13</xref></sup> respectively. This wide variation may be related to referral bias, different TTE protocols, inaccurate definitions of echocardiographic abnormalities, and differences in population characteristics, such as the proportion of patients with previous CVD. Aiming to mitigate referral bias, Szekely et al.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> systematically performed TTE in 100 consecutive patients hospitalized for COVID-19, 43% of which had prior CVD. They found that the most frequent abnormality was RV dysfunction/dilation while only a minority of patients (10%) had LV systolic dysfunction.<sup><xref ref-type="bibr" rid="B5">5</xref></sup></p>
        <p>Our study sheds light on the importance of previous CVD on the prevalence of echocardiographic findings of patients hospitalized with COVID-19. While RV dysfunction was common and apparently unrelated to the prevalence of previous CVD, LV systolic and diastolic dysfunction were more common in patients with previous CVD, likely in part due to pre-existing cardiovascular conditions. Noteworthy, thirteen percent of patients without CVD had LV systolic dysfunction, which may reflect a COVID-19-related <italic>&#8220;de novo&#8221;</italic> LV impairment. On the other hand, pulmonary hypertension and RV systolic dysfunction are more likely to result from a myriad of phenomena that affects the lungs, such as hypoxia, inflammation, acute respiratory distress syndrome, pulmonary microvascular thrombosis, pulmonary thromboembolism and mechanical ventilation.</p>
        <p>As major efforts by the scientific community aim to mitigate the severe health consequences of the COVID-19 pandemic, it becomes challenging to balance the use of echocardiography to provide high quality of medical care without excessively increasing the risk of cross-infection between healthcare professionals and patients. Our results help understand which cardiac function parameters are most frequently abnormal in hospitalized patients with COVID-19, according to the history of previous CVD through a real-world national registry. It is important to emphasize that the presence of cardiac dysfunction is independently associated with worse prognosis in patients with severe COVID-19.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> TTE evaluation should be considered in patients with COVID-19 and suspected cardiovascular complications to characterize the underlying cardiac substrate, for risk stratification, and to potentially guide management strategies.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> On the other hand, its indications should be based in critical consideration of the benefits to patient, contamination risk for healthcare personnel and use of the limited personal protective equipment.</p>
        <p>Our study has limitations that deserve attention. First, the echocardiographic measures were performed by local investigators without final assessment by a core lab. Nevertheless, all echocardiograms were performed by experienced physicians, who followed the procedures according to international guidelines. Second, abnormal findings may have been overestimated due to referral bias, as the echocardiograms were performed at the discretion of the attending physician. Third, serum biomarkers of myocardial injury were unavailable in this study. Finally, although we described the TTE findings in patients without previous CVD, we still cannot rule out whether these cardiac abnormalities were pre-existing, and these results should be interpreted with caution.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusions</title>
        <p>Among hospitalized patients with COVID-19 submitted to an echocardiogram, RV and LV systolic dysfunction were found in almost one out of five patients, but the latter was less common in those without previous CVD. Only half of the patients without previous CVD had a normal TTE.</p>
      </sec>
    </body>
    <back>
      <fn-group>
        <fn fn-type="supported-by" id="fn3">
          <p>
            <bold>Sources of Funding</bold>
          </p>
          <p>There were no external funding sources for this study.</p>
        </fn>
        <fn fn-type="other" id="fn4">
          <p>
            <bold>Study Association</bold>
          </p>
          <p>This study is not associated with any thesis or dissertation work.</p>
        </fn>
      </fn-group>
      <ack>
        <title>Acknowledgments</title>
        <p>We would like to thank the following colleagues who provided help in carrying out this research: Francisco de Assis Carvalho Santana; Fernando Melo Netto, Simone Ferreira Leite, Bianca Corr&#234;a Rocha de Mello, Dassis Cajuba, Filipe Lima de Menezes, Nathalia Caetano Lobo, Vanessa Guimar&#227;es Esmanhoto Andrioli, Pedro Gabriel Melo de Barros e Silva.</p>
      </ack>
      <app-group>
        <app id="app2">
          <title>*Supplemental Materials</title>
          <p>For additional information, please <ext-link ext-link-type="uri" xlink:href="http://abccardiol.org/supplementary-material/2021/11706/2020-1300_CC_portugu&#234;s_supplemental_material.pdf">click here</ext-link>.</p>
        </app>
      </app-group>
    </back>
  </sub-article>
</article>
