<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.1 20151215//EN" "https://jats.nlm.nih.gov/publishing/1.1/JATS-journalpublishing1.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.1" specific-use="sps-1.9" xml:lang="pt">
  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Arq Bras Cardiol</journal-id>
      <journal-id journal-id-type="publisher-id">abc</journal-id>
      <journal-title-group>
        <journal-title>Arquivos Brasileiros de Cardiologia</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Arq. Bras. Cardiol.</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0066-782X</issn>
      <issn pub-type="epub">1678-4170</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia - SBC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id specific-use="scielo-v3" pub-id-type="publisher-id">XPWq4LLTZN3TCycCRyzpHkK</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S0066-782X2023000500303</article-id>
      <article-id pub-id-type="other">00303</article-id>
      <article-id pub-id-type="doi">10.36660/abc.20220467</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigo Original</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Caracter&#237;sticas Cl&#237;nicas e Manejo de Pacientes Avaliados por Teleconsulta Cardiol&#243;gica na Regi&#227;o Brasileira com Maior N&#250;mero de Cidades Isoladas</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8023-3466</contrib-id>
          <name>
            <surname>Accorsi</surname>
            <given-names>Tarso Augusto Duenhas</given-names>
          </name>
          <role>Concep&#231;&#227;o e desenho da pesquisa, An&#225;lise e interpreta&#231;&#227;o dos dados,An&#225;lise estat&#237;stica, Reda&#231;&#227;o do manuscrito</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0292-4288</contrib-id>
          <name>
            <surname>Nemoto</surname>
            <given-names>Renato Paladino</given-names>
          </name>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados, Reda&#231;&#227;o do manuscrito</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-8313-9494</contrib-id>
          <name>
            <surname>Nunes</surname>
            <given-names>Jairo Tavares</given-names>
          </name>
          <role>Obten&#231;&#227;o de dados</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-3202-5360</contrib-id>
          <name>
            <surname>Azevedo</surname>
            <given-names>Ant&#244;nio Fernando Barros de</given-names>
            <suffix>Filho</suffix>
          </name>
          <role>Obten&#231;&#227;o de dados</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Moreira</surname>
            <given-names>Flavio Tocci</given-names>
          </name>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados, An&#225;lise estat&#237;stica, Reda&#231;&#227;o do manuscrito, Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kohler</surname>
            <given-names>Karen Francine</given-names>
          </name>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lima</surname>
            <given-names>Karine de Amicis</given-names>
          </name>
          <role>Concep&#231;&#227;o e desenho da pesquisa, Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Amaral</surname>
            <given-names>Bruna Dayanne Reges</given-names>
          </name>
          <role>Obten&#231;&#227;o de dados</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Morbeck</surname>
            <given-names>Renata Albaladejo</given-names>
          </name>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Pedrotti</surname>
            <given-names>Carlos Henrique Sartorato</given-names>
          </name>
          <role>Concep&#231;&#227;o e desenho da pesquisa, An&#225;lise e interpreta&#231;&#227;o dos dados, Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution content-type="orgname">Hospital Israelita Albert Einstein</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 Israelita Albert Einstein &#8211; Telemedicine, S&#227;o Paulo, SP &#8211; Brasil</institution>
      </aff>
      <author-notes>
        <corresp id="c01"> Correspond&#234;ncia: Tarso Augusto Duenhas Accorsi &#8226; Hospital Israelita Albert Einstein &#8211; Departamento de Telemedicina &#8211; Av. Albert Einstein, 627. Postal Code 05652-900, S&#227;o Paulo, SP &#8211; Brasil E-mail: <email>tarsoa@einstein.br</email> </corresp>
        <fn fn-type="conflict">
          <p>Potencial conflito de interesse</p>
          <p>N&#227;o h&#225; conflito com o presente artigo</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>08</day>
        <month>05</month>
        <year>2023</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <month>04</month>
        <year>2023</year>
      </pub-date>
      <volume>120</volume>
      <issue>5</issue>
      <elocation-id>e20220467</elocation-id>
      <history>
        <date date-type="received">
          <day>06</day>
          <month>07</month>
          <year>2022</year>
        </date>
        <date date-type="rev-recd">
          <day>23</day>
          <month>01</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>15</day>
          <month>02</month>
          <year>2023</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <license-p> This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. </license-p>
        </license>
      </permissions>
      <abstract>
        <title>Resumo</title>
        <sec>
          <title>Fundamento</title>
          <p> As doen&#231;as cardiovasculares s&#227;o a principal causa de morte no mundo. Regi&#245;es brasileiras geograficamente remotas e de baixa renda carecem de consultas especializadas. N&#227;o se tem conhecimento total acerca do manejo por telemedicina dessa popula&#231;&#227;o por parte de cardiologistas.</p>
        </sec>
        <sec>
          <title>Objetivos</title>
          <p> Analisar a teleconsulta cardiol&#243;gica na regi&#227;o brasileira com maior n&#250;mero de munic&#237;pios isolados.</p>
        </sec>
        <sec>
          <title>M&#233;todos</title>
          <p> Entre fevereiro de 2020 e outubro de 2021, pacientes da Regi&#227;o Norte do Brasil avaliados por m&#233;dicos generalistas locais foram encaminhados para avalia&#231;&#227;o cardiol&#243;gica por telemedicina. Foram analisados os motivos do encaminhamento, dados demogr&#225;ficos, hist&#243;rico cl&#237;nico, exames f&#237;sicos, exames complementares, medicamentos e prescri&#231;&#245;es pr&#233; e p&#243;s-telemedicina (considerou-se p&lt;0,05 como estatisticamente significativo).</p>
        </sec>
        <sec>
          <title>Resultados</title>
          <p> Analisamos 653 pacientes. A taxa de frequ&#234;ncia foi de 85,7% (53,1% do sexo feminino, idade m&#233;dia: 54,2&#177;6,5 anos). Os principais motivos de encaminhamento foram sintomas cardiovasculares (58,1%) e fatores de risco entre pacientes assintom&#225;ticos (13,3%). Apenas 12,6% apresentava alguma doen&#231;a diagnosticada. A maioria dos pacientes havia passado por exame f&#237;sico e eletrocardiogramas regulares. Poucos tinham exames complementares recentes. A prescri&#231;&#227;o de bloqueadores dos receptores da angiotensina (BRA), bloqueadores dos canais de c&#225;lcio e estatinas aumentou significativamente, enquanto a de digoxina, betabloqueadores n&#227;o card&#237;acos e &#225;cido acetilsalic&#237;lico (AAS) diminuiu na primeira teleconsulta. A maioria dos exames complementares solicitados era de baixa complexidade e custo: eletrocardiograma (28,2%), radiografia de t&#243;rax (14%), ecocardiograma (64,5%) e exames de sangue (71,8%). Para 2,1% dos pacientes, foram indicadas interven&#231;&#245;es, e 8% recebeu alta ap&#243;s a primeira consulta.</p>
        </sec>
        <sec>
          <title>Conclus&#227;o</title>
          <p> A teleconsulta cardiol&#243;gica sob demanda contribui para a otimiza&#231;&#227;o do tratamento das doen&#231;as card&#237;acas. A maioria dos pacientes foi encaminhada com diagn&#243;sticos sindr&#244;micos sem exames complementares pr&#233;vios. A avalia&#231;&#227;o especializada solicitada geralmente estava dispon&#237;vel localmente e com baixo custo, mas impedia a alta precoce. Capacita&#231;&#227;o local poderia otimizar o encaminhamento.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="pt">
        <kwd>Telecardiologia</kwd>
        <kwd>Consulta Remota</kwd>
        <kwd>Telemedicina</kwd>
        <kwd>Encaminhamento e Consulta</kwd>
        <kwd>Popula&#231;&#227;o Suburbana</kwd>
      </kwd-group>
      <counts>
        <fig-count count="6"/>
        <table-count count="6"/>
        <equation-count count="0"/>
        <ref-count count="21"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>A telemedicina (TM) se tornou um recurso essencial para o sistema de sa&#250;de, pois fornece assist&#234;ncia com boa rela&#231;&#227;o custo-benef&#237;cio por meio de a&#231;&#245;es imediatas.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> Embora diversos tipos de avalia&#231;&#245;es virtuais de pacientes estejam em pr&#225;tica desde a d&#233;cada de 1970, a avalia&#231;&#227;o por TM aumentou na d&#233;cada atual.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> Evid&#234;ncias cient&#237;ficas progressivas corroboram o uso da TM em diversos cen&#225;rios.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> Algumas popula&#231;&#245;es, principalmente em &#225;reas remotas com barreiras geogr&#225;ficas, carecem cronicamente de assist&#234;ncia m&#233;dica presencial e financiamento.<sup><xref ref-type="bibr" rid="B4">4</xref></sup> A TM tem imenso potencial de fornecer avalia&#231;&#245;es essenciais a essas popula&#231;&#245;es, seja por um generalista ou especialista.<sup><xref ref-type="bibr" rid="B5">5</xref> , <xref ref-type="bibr" rid="B6">6</xref></sup></p>
      <p>Segundo o &#250;ltimo Censo do Instituto Brasileiro de Geografia e Estat&#237;stica, a Regi&#227;o Norte do Brasil possui mais de 12.500.000 habitantes, sendo que pelo menos 20% vivem em &#225;reas remotas,<sup><xref ref-type="bibr" rid="B7">7</xref></sup> distantes dos centros urbanos ou distantes de locais habitados, e de dif&#237;cil acesso. Essa regi&#227;o &#233; a maior do Brasil, caracterizada pela floresta amaz&#244;nica (densa, com dificuldade de acesso a servi&#231;os de sa&#250;de), com a menor densidade populacional e &#205;ndice de Desenvolvimento Humano do pa&#237;s ( <xref ref-type="fig" rid="f02">Figura 1</xref> ).<sup><xref ref-type="bibr" rid="B8">8</xref></sup> Al&#233;m disso, a Regi&#227;o Norte tem a menor densidade de servi&#231;os m&#233;dicos do pa&#237;s, com uma m&#233;dia de um m&#233;dico por mil habitantes, mas chegando a 0,2 por mil habitantes em &#225;reas remotas.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> Em uma an&#225;lise recente das estat&#237;sticas de sa&#250;de no Brasil, as doen&#231;as cardiovasculares foram a principal causa de morte nessa regi&#227;o, com pior progn&#243;stico do que em outras &#225;reas com maiores n&#237;veis de desenvolvimento.<sup><xref ref-type="bibr" rid="B10">10</xref></sup> Em fevereiro de 2020, o governo brasileiro lan&#231;ou um programa de teleconsulta em cardiologia nesta regi&#227;o, com o objetivo de reduzir a carga de doen&#231;as cardiovasculares.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
      <p>
        <fig id="f02">
          <label>Figura 1</label>
          <caption>
            <title>&#8211; Mapa do Brasil representando os valores dos &#237;ndices de vulnerabilidade socioecon&#244;mica. Os estados marcados com alfinete vermelho correspondem &#224; Regi&#227;o Norte do pa&#237;s. Adaptado de Rocha et al.8</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-120-05-e20220467-20467-gf01.tif"/></fig>
      </p>
      <p>As evid&#234;ncias corroboram o estabelecimento da TM como estrat&#233;gia para altos n&#237;veis de satisfa&#231;&#227;o relacionados &#224;s avalia&#231;&#245;es, bem como redu&#231;&#227;o dos tempos gastos por especialistas e morbimortalidade em alguns grupos de doen&#231;as cardiovasculares (principalmente pacientes com insufici&#234;ncia card&#237;aca).<sup><xref ref-type="bibr" rid="B12">12</xref> , <xref ref-type="bibr" rid="B13">13</xref></sup> No entanto, os principais motivos de encaminhamento para especialistas, caracter&#237;sticas cl&#237;nicas, status de tratamento atual e tratamento por TM n&#227;o s&#227;o totalmente conhecidos. Esses dados podem presumivelmente realinhar e adaptar o projeto atual e orientar outras iniciativas remotas com foco em uma estrat&#233;gia custo-eficiente.</p>
      <p>O objetivo deste estudo foi analisar os dados de atendimento relacionados &#224;s teleconsultas cardiol&#243;gicas por parte de pacientes da regi&#227;o brasileira com as cidades mais isoladas.</p>
    </sec>
    <sec sec-type="materials|methods">
      <title>Materiais e m&#233;todos</title>
      <p>Este foi um estudo descritivo retrospectivo envolvendo um &#250;nico centro de TM (Hospital Israelita Albert Einstein) que foi refer&#234;ncia para 104 centros com atendimento presencial na Regi&#227;o Norte do Brasil relacionados ao programa de assist&#234;ncia m&#233;dica especializada do Programa de Apoio ao Desenvolvimento Institucional do Sistema &#218;nico de Sa&#250;de (PROADI) por meio de TM, do Minist&#233;rio da Sa&#250;de, Brasil ( <xref ref-type="fig" rid="f01">Figura Central</xref> ).</p>
      <p>
        <fig id="f01">
          <label>Figura Central</label>
          <caption>
            <title>: Caracter&#237;sticas Cl&#237;nicas e Manejo de Pacientes Avaliados por Teleconsulta Cardiol&#243;gica na Regi&#227;o Brasileira com Maior N&#250;mero de Cidades Isoladas</title>
          </caption>
          <attrib>Benef&#237;cios da teleconsulta cardiol&#243;gica em cidades isoladas. O mapa ilustra as unidades de sa&#250;de da Regi&#227;o Norte do Brasil integrantes do programa de atendimento m&#233;dico especializado por telemedicina. As marca&#231;&#245;es em verde indicam os locais dos servi&#231;os participantes. As marca&#231;&#245;es em cinza indicam os locais para futuras instala&#231;&#245;es de equipamentos. Os asteriscos indicam locais extras n&#227;o previstos inicialmente pelo Minist&#233;rio da Sa&#250;de. Mapa do Google Maps, idioma portugu&#234;s. DM: diabetes melito; PROADI: Programa de Apoio ao Desenvolvimento Institucional do Sistema &#218;nico de Sa&#250;de por meio de TM, do Minist&#233;rio da Sa&#250;de.</attrib>
          <graphic xlink:href="1678-4170-abc-120-05-e20220467-20467-gf02.tif"/></fig>
      </p>
      <p>Os pacientes foram previamente avaliados por m&#233;dicos generalistas da comunidade que solicitaram consulta especializada em cardiologia. De acordo com os procedimentos de agendamento do sistema de sa&#250;de local, os pacientes foram encaminhados para consulta por TM como alternativa &#224; consulta com especialista. Todas as avalia&#231;&#245;es remotas deste programa inclu&#237;ram o paciente ao lado do cl&#237;nico geral da unidade de sa&#250;de com o cardiologista do centro de TM em tempo real. Todas as instala&#231;&#245;es contavam com equipamentos modernos para uma conex&#227;o r&#225;pida &#224; internet com &#225;udio e v&#237;deo. Realizou-se a teleconsulta ap&#243;s a confirma&#231;&#227;o do perfeito funcionamento de &#225;udio e imagem ( <xref ref-type="fig" rid="f03">Figura 2</xref> ). Os m&#233;dicos de plant&#227;o que trabalhavam no posto de sa&#250;de n&#227;o eram necessariamente os m&#233;dicos que encaminhavam o paciente para avalia&#231;&#227;o especializada. Tiveram acesso ao prontu&#225;rio do paciente e ao motivo do encaminhamento e participaram conjuntamente da teleconsulta. Os pacientes tiveram consultas com dura&#231;&#227;o de 30 minutos, e todos os dezoito cardiologistas da telemedicina trabalharam por quatro horas consecutivas e foram previamente treinados de acordo com os protocolos institucionais de TM. Ao final de cada avalia&#231;&#227;o, o cl&#237;nico geral do local recebia o laudo online do especialista e prosseguia &#224; avalia&#231;&#227;o com refor&#231;o de esclarecimentos, agendamento de exames e prescri&#231;&#245;es, al&#233;m do preenchimento do prontu&#225;rio local.</p>
      <p>
        <fig id="f03">
          <label>Figura 2</label>
          <caption>
            <title>&#8211; Imagem externa de uma unidade de sa&#250;de. Consulta cardiol&#243;gica sob demanda.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-120-05-e20220467-20467-gf03.tif"/></fig>
      </p>
      <p>Inclu&#237;mos pacientes consecutivos avaliados de fevereiro de 2020 (in&#237;cio do programa) a outubro de 2021. O atendimento foi substancialmente interrompido ao longo desta opera&#231;&#227;o devido &#224; pandemia de COVID-19, com retomada progressiva desde mar&#231;o de 2021. Do prontu&#225;rio da TM, foram analisados os seguintes par&#226;metros: motivo do encaminhamento, dados demogr&#225;ficos, hist&#243;rico cl&#237;nico e exame f&#237;sico, bem como avalia&#231;&#227;o pr&#233; e p&#243;s-TM quanto a exames, medicamentos, diagn&#243;sticos e prescri&#231;&#245;es.</p>
      <sec>
        <title>An&#225;lise estat&#237;stica</title>
        <p>As principais estat&#237;sticas foram predominantemente descritivas. Utilizou-se o teste de Kolmogorov-Smirnov para a verifica&#231;&#227;o de normalidade dos dados. As vari&#225;veis cont&#237;nuas foram descritas como m&#233;dia e desvio padr&#227;o (DP), e as vari&#225;veis categ&#243;ricas foram descritas como n&#250;meros absolutos e porcentagens. A &#250;nica compara&#231;&#227;o foi realizada entre as prescri&#231;&#245;es por meio do teste de McNemar. Valores com p&lt;0,05 foram considerados estatisticamente significativos, e utilizou-se o software IBM-SPSS para Windows vers&#227;o 22.0 para c&#225;lculos estat&#237;sticos.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <p>Foram avaliados 653 pacientes agendados de 17/02/2020 a 04/10/2021, com taxa de comparecimento &#224;s consultas de 85,7%. A maioria era do sexo feminino, com idade m&#233;dia de 54,2 anos. Houve forte evid&#234;ncia de pacientes de baixa renda caracterizados por n&#237;vel educacional; o principal motivo do encaminhamento foi a presen&#231;a de pelo menos um dos seguintes sintomas: dispneia, dor tor&#225;cica, s&#237;ncope ou palpita&#231;&#245;es. A maioria dos pacientes n&#227;o apresentou eventos cardiovasculares maiores, apesar da presen&#231;a de fatores de risco para doen&#231;as cardiovasculares na maioria dos pacientes avaliados; 60,1% apresentava hipertens&#227;o, seguida de dislipidemia, tabagismo e diabetes mellitus. Poucos referiram praticar atividade f&#237;sica regular ( <xref ref-type="table" rid="t1">Tabela 1</xref> ). Apenas alguns sintomas relacionados a doen&#231;as cardiovasculares foram explorados durante a teleconsulta, e um m&#233;dico local guiado por um cardiologista remoto realizou um exame f&#237;sico. O sintoma mais comumente relatado foi dor precordial, mas apenas 26,1% dos pacientes tinha alta suspeita de cardiopatia isqu&#234;mica. Houve relatos de dispneia por 1/3 dos pacientes, e alguns deles se encontravam na classe funcional III ou IV da NYHA. Surpreendentemente, 151 (26,8%) pacientes palpita&#231;&#245;es, enquanto a s&#237;ncope foi raramente observada. Mediu-se frequ&#234;ncia card&#237;aca e press&#227;o arterial em todos os pacientes antes da teleconsulta, com m&#233;dia e desvio padr&#227;o de 76,9&#177;13,8, 136,4&#177;67,3 (sist&#243;lica) e 82,1&#177;13,9 (diast&#243;lica), respectivamente. Muitos pacientes apresentaram exame f&#237;sico normal, com poucos casos de sopro ou sinais de insufici&#234;ncia card&#237;aca detectados ( <xref ref-type="table" rid="t2">Tabela 2</xref> ).</p>
      <p>
        <table-wrap id="t1">
          <label>Tabela 1</label>
          <caption>
            <title>&#8211; Comparecimento e caracter&#237;sticas demogr&#225;ficas e cl&#237;nicas basais</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">Vari&#225;vel</th>
                <th>Descri&#231;&#227;o</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td> </td>
                <td align="center">
                  <bold>m&#233;dia&#177;DP</bold>
                </td>
              </tr>
              <tr>
                <td>Idade (anos)</td>
                <td align="center">54,2&#177;16,5</td>
              </tr>
              <tr>
                <td> </td>
                <td align="center">
                  <bold>n (%)</bold>
                </td>
              </tr>
              <tr>
                <td>Comparecimento positivo</td>
                <td align="center">563 (85,7)</td>
              </tr>
              <tr>
                <td>
                  <bold>Sexo</bold>
                </td>
                <td> </td>
              </tr>
              <tr>
                <td>Masculino</td>
                <td align="center">264 (46,9)</td>
              </tr>
              <tr>
                <td>Feminino</td>
                <td align="center">299 (53,1)</td>
              </tr>
              <tr>
                <td>
                  <bold>N&#237;vel de Escolaridade</bold>
                </td>
                <td> </td>
              </tr>
              <tr>
                <td>Nenhuma escolaridade formal</td>
                <td align="center">181 (34,5)</td>
              </tr>
              <tr>
                <td>Ensino fundamental completo</td>
                <td align="center">56 (10,7)</td>
              </tr>
              <tr>
                <td>Ensino fundamental completo</td>
                <td align="center">68 (13)</td>
              </tr>
              <tr>
                <td>Ensino m&#233;dio incompleto</td>
                <td align="center">53 (10,1)</td>
              </tr>
              <tr>
                <td>Ensino m&#233;dio completo</td>
                <td align="center">135 (25,8)</td>
              </tr>
              <tr>
                <td>N&#237;vel universit&#225;rio incompleto</td>
                <td align="center">15 (2,9)</td>
              </tr>
              <tr>
                <td>N&#237;vel universit&#225;rio completo</td>
                <td align="center">16 (3,1)</td>
              </tr>
              <tr>
                <td>
                  <bold>Motivo do encaminhamento</bold>
                </td>
                <td> </td>
              </tr>
              <tr>
                <td>Pelo menos um destes: dispneia/dor tor&#225;cica/s&#237;ncope/edema/palpita&#231;&#227;o</td>
                <td align="center">327 (58,1)</td>
              </tr>
              <tr>
                <td>Fatores de risco para doen&#231;as cardiovasculares</td>
                <td align="center">75 (13,3)</td>
              </tr>
              <tr>
                <td>Arritmia diagnosticada</td>
                <td align="center">31 (5,5)</td>
              </tr>
              <tr>
                <td>Doen&#231;a arterial coronariana diagnosticada</td>
                <td align="center">18 (3,2)</td>
              </tr>
              <tr>
                <td>Insufici&#234;ncia card&#237;aca diagnosticada</td>
                <td align="center">13 (2,3)</td>
              </tr>
              <tr>
                <td>Valvopatia diagnosticada</td>
                <td align="center">9 (1,6)</td>
              </tr>
              <tr>
                <td>Outras</td>
                <td align="center">90 (16)</td>
              </tr>
              <tr>
                <td>
                  <bold>Hist&#243;rico cl&#237;nico basal</bold>
                </td>
                <td> </td>
              </tr>
              <tr>
                <td>Hospitaliza&#231;&#227;o cardiovascular anterior</td>
                <td align="center">52 (9,2)</td>
              </tr>
              <tr>
                <td>Angioplastia coronariana</td>
                <td align="center">11 (2)</td>
              </tr>
              <tr>
                <td>Revasculariza&#231;&#227;o mioc&#225;rdica</td>
                <td align="center">11 (2)</td>
              </tr>
              <tr>
                <td>Acidente vascular cerebral</td>
                <td align="center">28 (5)</td>
              </tr>
              <tr>
                <td>Doen&#231;a arterial obstrutiva perif&#233;rica</td>
                <td align="center">7 (1,2)</td>
              </tr>
              <tr>
                <td>Hipertens&#227;o</td>
                <td align="center">338 (60,1)</td>
              </tr>
              <tr>
                <td>Glicemia de jejum alterada</td>
                <td align="center">28 (5)</td>
              </tr>
              <tr>
                <td>Diabetes mellitus</td>
                <td align="center">87 (15,5)</td>
              </tr>
              <tr>
                <td>Dislipidemia</td>
                <td align="center">164 (29,1)</td>
              </tr>
              <tr>
                <td>Atividade f&#237;sica regular</td>
                <td align="center">53 (9,4)</td>
              </tr>
              <tr>
                <td>Tabagismo</td>
                <td align="center">103 (18,3)</td>
              </tr>
              <tr>
                <td>
                  <bold>Condi&#231;&#227;o cr&#244;nica n&#227;o cardiovascular</bold>
                </td>
                <td> </td>
              </tr>
              <tr>
                <td>Doen&#231;as respirat&#243;rias</td>
                <td align="center">18 (3,2)</td>
              </tr>
              <tr>
                <td>Doen&#231;as do aparelho digestivo</td>
                <td align="center">24 (4,3)</td>
              </tr>
              <tr>
                <td>Doen&#231;as do aparelho geniturin&#225;rio</td>
                <td align="center">21 (3,7)</td>
              </tr>
              <tr>
                <td>Doen&#231;as reumatol&#243;gicas</td>
                <td align="center">20 (3,6)</td>
              </tr>
              <tr>
                <td>Doen&#231;as psiqui&#225;tricas/neurol&#243;gicas</td>
                <td align="center">41 (7,3)</td>
              </tr>
              <tr>
                <td>Doen&#231;as endocrinol&#243;gicas</td>
                <td align="center">35 (6,2)</td>
              </tr>
              <tr>
                <td>Doen&#231;as hematol&#243;gicas/imunes</td>
                <td align="center">4 (0,7)</td>
              </tr>
              <tr>
                <td>Alcoolismo</td>
                <td align="center">24 (4,3)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </p>
      <p>
        <table-wrap id="t2">
          <label>Tabela 2</label>
          <caption>
            <title>&#8211; Caracter&#237;sticas cl&#237;nicas observadas na consulta e exames complementares recentes</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">Vari&#225;vel</th>
                <th>Descri&#231;&#227;o</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td> </td>
                <td align="center">
                  <bold>n (%)</bold>
                </td>
              </tr>
              <tr>
                <td>Dispneia</td>
                <td align="center">167 (29,7)</td>
              </tr>
              <tr>
                <td>
                  <bold>Classe Funcional da NYHA</bold>
                </td>
                <td> </td>
              </tr>
              <tr>
                <td>I/II</td>
                <td align="center">142 (95,5)</td>
              </tr>
              <tr>
                <td>III/IV</td>
                <td align="center">25 (4,5)</td>
              </tr>
              <tr>
                <td>Dor precordial</td>
                <td align="center">277 (49,2)</td>
              </tr>
              <tr>
                <td>
                  <bold>Tipos de dor precordial</bold>
                </td>
                <td> </td>
              </tr>
              <tr>
                <td>Tipo D &#8212; definitivamente n&#227;o &#233; angina</td>
                <td align="center">96 (34,6)</td>
              </tr>
              <tr>
                <td>Tipo C &#8212; provavelmente n&#227;o &#233; angina</td>
                <td align="center">109 (39,3)</td>
              </tr>
              <tr>
                <td>Tipo B &#8212; provavelmente &#233; angina</td>
                <td align="center">44 (15,9)</td>
              </tr>
              <tr>
                <td>Tipo A &#8212; definitivamente &#233; angina</td>
                <td align="center">28 (10,2)</td>
              </tr>
              <tr>
                <td>
                  <bold>Angina grau no tipo A/B segundo a Canadian Cardiovascular Society</bold>
                </td>
                <td> </td>
              </tr>
              <tr>
                <td>I/II</td>
                <td align="center">55 (76,6)</td>
              </tr>
              <tr>
                <td>III/IV</td>
                <td align="center">17 (23,4)</td>
              </tr>
              <tr>
                <td>Palpita&#231;&#245;es</td>
                <td align="center">151 (26,8)</td>
              </tr>
              <tr>
                <td>S&#237;ncope</td>
                <td align="center">14 (2,5)</td>
              </tr>
              <tr>
                <td>Sopro</td>
                <td align="center">26 (4,6)</td>
              </tr>
              <tr>
                <td>Estase jugular</td>
                <td align="center">8 (1,4)</td>
              </tr>
              <tr>
                <td>Edema perif&#233;rico</td>
                <td align="center">32 (5,7)</td>
              </tr>
              <tr>
                <td>Estertores na ausculta dos pulm&#245;es</td>
                <td align="center">13 (2,3)</td>
              </tr>
              <tr>
                <td>
                  <bold>Eletrocardiograma</bold>
                </td>
                <td> </td>
              </tr>
              <tr>
                <td>normal, n (%)</td>
                <td align="center">252 (59,3)</td>
              </tr>
              <tr>
                <td>fibrila&#231;&#227;o/flutter atrial, n (%)</td>
                <td align="center">11 (2,6)</td>
              </tr>
              <tr>
                <td>qualquer grau de s&#237;ndrome do n&#243; sinusal ou bloqueio atrioventricular</td>
                <td align="center">18 (4,2)</td>
              </tr>
              <tr>
                <td>qualquer sobrecarga de c&#226;maras card&#237;acas</td>
                <td align="center">69 (16,2)</td>
              </tr>
              <tr>
                <td>repolariza&#231;&#227;o alterada inespec&#237;fica</td>
                <td align="center">38 (8,9)</td>
              </tr>
              <tr>
                <td>outros</td>
                <td align="center">37 (8,7)</td>
              </tr>
              <tr>
                <td>Radiografia de t&#243;rax sugestiva de qualquer doen&#231;a card&#237;aca</td>
                <td align="center">21 (45,7) / n=46</td>
              </tr>
              <tr>
                <td>
                  <bold>Ecocardiograma (n=82)</bold>
                </td>
                <td> </td>
              </tr>
              <tr>
                <td>normal</td>
                <td align="center">39 (47,6)</td>
              </tr>
              <tr>
                <td>fra&#231;&#227;o de eje&#231;&#227;o ventricular esquerda &lt;50%</td>
                <td align="center">7 (8,5)</td>
              </tr>
              <tr>
                <td>hipertrofia ventricular esquerda</td>
                <td align="center">18 (22)</td>
              </tr>
              <tr>
                <td>valvopatia importante</td>
                <td align="center">12 (14,6)</td>
              </tr>
              <tr>
                <td>Hipocinesia segmentar ventricular esquerda</td>
                <td align="center">5 (6,1)</td>
              </tr>
              <tr>
                <td>outros</td>
                <td align="center">1 (1,2)</td>
              </tr>
              <tr>
                <td>Holter alterado (batimentos ventriculares prematuros, taquicardia, bradicardia) (n=30)</td>
                <td align="center">16 (53,3)</td>
              </tr>
              <tr>
                <td>Teste ergom&#233;trico com altera&#231;&#245;es de isquemia (n=20)</td>
                <td align="center">0 (0)</td>
              </tr>
              <tr>
                <td>
                  <bold>Cateterismo coronariano card&#237;aco (n=20)</bold>
                </td>
                <td> </td>
              </tr>
              <tr>
                <td>normal</td>
                <td align="center">7 (35)</td>
              </tr>
              <tr>
                <td>Doen&#231;a arterial coronariana n&#227;o significativa</td>
                <td align="center">5 (25)</td>
              </tr>
              <tr>
                <td>Doen&#231;a arterial coronariana obstrutiva</td>
                <td align="center">8 (40)</td>
              </tr>
              <tr>
                <td> </td>
                <td align="center">
                  <bold>m&#233;dia</bold>
                  <underline>
                    <bold>+</bold>
                  </underline>
                  <bold>DP</bold>
                </td>
              </tr>
              <tr>
                <td>Frequ&#234;ncia card&#237;aca, m&#233;dia <underline>+</underline> DP</td>
                <td align="center">76,9 &#177; 13,8</td>
              </tr>
              <tr>
                <td>Press&#227;o arterial sist&#243;lica, m&#233;dia <underline>+</underline> DP</td>
                <td align="center">136,4 &#177; 67,3</td>
              </tr>
              <tr>
                <td>Press&#227;o arterial diast&#243;lica, m&#233;dia <underline>+</underline> DP</td>
                <td align="center">82,1 &#177; 13,9</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </p>
      <p>Foram realizados eletrocardiogramas em todos os pacientes, sendo a maioria normal. Outros exames, como ecocardiogramas e testes ergom&#233;tricos, foram realizados em menor n&#250;mero de pacientes, tamb&#233;m com resultados primordialmente normais. Os casos foram conduzidos comparando-se prescri&#231;&#245;es basais anteriores com prescri&#231;&#245;es de teleconsulta e descrevendo-se os exames complementares necess&#225;rios ( <xref ref-type="table" rid="t3">Tabela 3</xref> ). Todas as prescri&#231;&#245;es de medicamentos foram alteradas em alguma medida, mas apenas ARAs, digoxina, betabloqueadores n&#227;o-IC, AAS, bloqueadores dos canais de c&#225;lcio e estatinas foram estatisticamente significativos. A maioria dos novos exames solicitados era de baixa complexidade e baixo custo, como eletrocardiograma, radiografia de t&#243;rax, ecocardiograma e exames de sangue. O teste ergom&#233;trico foi a avalia&#231;&#227;o n&#227;o invasiva mais comum da cardiopatia isqu&#234;mica, sendo solicitado em 31,8% dos casos. Exames mais complexos, como tomografia computadorizada (TC) e cateterismo card&#237;aco, eram incomuns. Muito poucos pacientes foram indicados para interven&#231;&#227;o cir&#250;rgica ou transcateter.</p>
      <p>
        <table-wrap id="t3">
          <label>Tabela 3</label>
          <caption>
            <title>&#8211; Administra&#231;&#227;o de medicamentos e novos exames solicitados</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">Medica&#231;&#227;o (n=563)</th>
                <th>Pr&#233;via n (%)</th>
                <th>Ap&#243;s a teleconsulta n (%)</th>
                <th>p*</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>IECA</td>
                <td align="center">31 (5,5)</td>
                <td align="center">47 (8,3)</td>
                <td align="center">0,596</td>
              </tr>
              <tr>
                <td>BRA II</td>
                <td align="center">94 (16,7)</td>
                <td align="center">123 (21,8)</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>Betabloqueador para IC</td>
                <td align="center">26 (4,6)</td>
                <td align="center">39 (6,9)</td>
                <td align="center">0,461</td>
              </tr>
              <tr>
                <td>Espironolactona</td>
                <td align="center">19 (3,4)</td>
                <td align="center">13 (2,3)</td>
                <td align="center">0,201</td>
              </tr>
              <tr>
                <td>Sacubritril &#8211; valsartana</td>
                <td align="center">0 (0)</td>
                <td align="center">1 (0,2)</td>
                <td align="center">&gt;0,999</td>
              </tr>
              <tr>
                <td>Diur&#233;ticos</td>
                <td align="center">62 (11)</td>
                <td align="center">78 (13,9)</td>
                <td align="center">0,579</td>
              </tr>
              <tr>
                <td>Digoxina</td>
                <td align="center">8 (1,4)</td>
                <td align="center">2 (0,4)</td>
                <td align="center">0,008</td>
              </tr>
              <tr>
                <td>Betabloqueador n&#227;o-IC</td>
                <td align="center">50 (8,9)</td>
                <td align="center">26 (4,6)</td>
                <td align="center">0,024</td>
              </tr>
              <tr>
                <td>AAS</td>
                <td align="center">75 (13,3)</td>
                <td align="center">57 (10,1)</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>Inibidores de P2Y12</td>
                <td align="center">5 (0,9)</td>
                <td align="center">7 (1,2)</td>
                <td align="center">&gt;0,999</td>
              </tr>
              <tr>
                <td>Varfarina</td>
                <td align="center">2 (0,4)</td>
                <td align="center">2 (0,4)</td>
                <td align="center">0,289</td>
              </tr>
              <tr>
                <td>DOAC</td>
                <td align="center">1 (0,2)</td>
                <td align="center">5 (0,9)</td>
                <td align="center">0,375</td>
              </tr>
              <tr>
                <td>Bloqueador de canal de c&#225;lcio</td>
                <td align="center">33 (5,9)</td>
                <td align="center">36 (6,4)</td>
                <td align="center">0,007</td>
              </tr>
              <tr>
                <td>Antidiab&#233;ticos orais</td>
                <td align="center">2 (0,4)</td>
                <td align="center">1 (0,2)</td>
                <td align="center">0,289</td>
              </tr>
              <tr>
                <td>Insulina</td>
                <td align="center">5 (0,9)</td>
                <td align="center">3 (0,5)</td>
                <td align="center">&gt;0,999</td>
              </tr>
              <tr>
                <td>Novos antidiab&#233;ticos orais</td>
                <td align="center">2 (0,4)</td>
                <td align="center">1 (0,2)</td>
                <td align="center">0,289</td>
              </tr>
              <tr>
                <td>Estatina</td>
                <td align="center">44 (7,8)</td>
                <td align="center">80 (14,2)</td>
                <td align="center">&lt;0,001</td>
              </tr>
              <tr>
                <td>Fibrato</td>
                <td align="center">5 (0,9)</td>
                <td align="center">1 (0,2)</td>
                <td align="center">0,727</td>
              </tr>
              <tr>
                <td>Nitrato</td>
                <td align="center">7 (1,2)</td>
                <td align="center">4 (0,7</td>
                <td align="center">0,804</td>
              </tr>
              <tr>
                <td colspan="2">
                  <bold>Exames solicitados, indica&#231;&#227;o de interven&#231;&#227;o e alta (n=563)</bold>
                </td>
                <td align="center" colspan="2">
                  <bold>n (%)</bold>
                </td>
              </tr>
              <tr>
                <td colspan="2">Ecocardiograma</td>
                <td align="center" colspan="2">159 (28,2)</td>
              </tr>
              <tr>
                <td colspan="2">Radiografia de t&#243;rax</td>
                <td align="center" colspan="2">83 (14,7)</td>
              </tr>
              <tr>
                <td colspan="2">Ecocardiograma</td>
                <td align="center" colspan="2">363 (64,5)</td>
              </tr>
              <tr>
                <td colspan="2">Exames de sangue</td>
                <td align="center" colspan="2">404 (71,8)</td>
              </tr>
              <tr>
                <td colspan="2">Teste ergom&#233;trico/cintilografia mioc&#225;rdica</td>
                <td align="center" colspan="2">179 (31,8)</td>
              </tr>
              <tr>
                <td colspan="2">MAPA</td>
                <td align="center" colspan="2">86 (15,3)</td>
              </tr>
              <tr>
                <td colspan="2">Qualquer ultrassonografia</td>
                <td align="center" colspan="2">18 (3,2)</td>
              </tr>
              <tr>
                <td colspan="2">Qualquer TC</td>
                <td align="center" colspan="2">36 (6,4)</td>
              </tr>
              <tr>
                <td colspan="2">Cateterismo card&#237;aco</td>
                <td align="center" colspan="2">31 (5,5)</td>
              </tr>
              <tr>
                <td colspan="2">Interven&#231;&#227;o</td>
                <td align="center" colspan="2">12 (2,1)</td>
              </tr>
              <tr>
                <td colspan="2">Alta</td>
                <td align="center" colspan="2">45 (8)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN1">
              <p>IECA: inibidores da enzima conversora de angiotensina; BRA: bloqueadores dos receptores da angiotensina; IC: insufici&#234;ncia card&#237;aca; AAS: &#225;cido acetilsalic&#237;lico; DOAC: anticoagulantes orais diretos; MAPA: Monitoriza&#231;&#227;o ambulatorial da press&#227;o arterial; TC: tomografia computadorizada. *Teste de McNemar.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
    </sec>
    <sec sec-type="discussion">
      <title>Discuss&#227;o</title>
      <p>Este &#233; o primeiro estudo a analisar as caracter&#237;sticas e conduta das consultas cardiol&#243;gicas por TM sob demanda para popula&#231;&#245;es de baixa renda em &#225;reas remotas do Brasil. Considerando a nova implanta&#231;&#227;o desse programa e as dificuldades relacionadas &#224;s caracter&#237;sticas geogr&#225;ficas e demogr&#225;ficas da Regi&#227;o Norte do Brasil, que possui &#225;reas isoladas e baixa propor&#231;&#227;o de m&#233;dicos por habitante, a taxa de atendimento positivo de 85,7% foi satisfat&#243;ria. Por exemplo, os m&#233;dicos locais relataram que muitos pacientes tiveram dificuldades para acessar o local de consulta, com viagens de barco demorando mais de um dia. Al&#233;m disso, muitos pacientes precisavam de acompanhantes para ajud&#225;-los a entender as explica&#231;&#245;es b&#225;sicas sobre o tratamento.</p>
      <p>Percebemos algumas diferen&#231;as nas estat&#237;sticas mais atuais ao analisar os resultados da coleta de dados. Por exemplo, o n&#250;mero de teleconsultas cardiol&#243;gicas para pacientes do sexo feminino foi ligeiramente superior ao do sexo masculino (53,1 vs. 46,9%), diferindo dos resultados do artigo de estat&#237;sticas cardiovasculares brasileiras de 2020, em que a preval&#234;ncia global de doen&#231;as cardiovasculares (DCV) na Regi&#227;o Norte foi maior no sexo masculino (54%).<sup><xref ref-type="bibr" rid="B10">10</xref></sup></p>
      <p>Os principais motivos de encaminhamento foram dor tor&#225;cica, dispneia, palpita&#231;&#245;es e s&#237;ncope. Em geral, os perfis de complexidade dos pacientes avaliados foram considerados baixos. Foram observadas caracter&#237;sticas cl&#237;nicas de baixa probabilidade de angina e doen&#231;a arterial coronariana (resultando no baixo n&#250;mero de interven&#231;&#245;es diagn&#243;sticas e terap&#234;uticas indicadas). A maioria dos pacientes com dispneia foi classificada como dispneia n&#227;o limitante, com caracter&#237;sticas multifatoriais. Observou-se tamb&#233;m baixa taxa de infartos pr&#233;vios, cirurgia de revasculariza&#231;&#227;o do mioc&#225;rdio e disfun&#231;&#227;o ventricular esquerda. A incid&#234;ncia de s&#237;ncope foi baixa, e a anormalidade mais significativa identificada no teste de Holter de 24 horas foram extrass&#237;stoles isoladas.</p>
      <p>Na avalia&#231;&#227;o cl&#237;nica, os principais fatores de risco identificados para doen&#231;as cardiovasculares foram obesidade, sedentarismo, hipertens&#227;o e diabetes mellitus, condizente com o aumento mundial da preval&#234;ncia da s&#237;ndrome metab&#243;lica, conforme demonstrado por Rissardo et al., que estudaram os perfis de risco cardiovascular de homens e mulheres em Santa Maria, pequena cidade da regi&#227;o sul do pa&#237;s, no per&#237;odo de 2012 a 2016.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> Curiosamente, a preval&#234;ncia de fumantes foi baixa, talvez pela efic&#225;cia das campanhas de conscientiza&#231;&#227;o contra o tabagismo.</p>
      <p>Os n&#237;veis m&#233;dios de press&#227;o arterial sist&#243;lica e diast&#243;lica apresentaram tend&#234;ncia &#224; pr&#233;-hipertens&#227;o. No entanto, poss&#237;veis vieses de medi&#231;&#227;o e hipertens&#227;o do avental branco devem ser considerados.<sup><xref ref-type="bibr" rid="B15">15</xref></sup></p>
      <p>Tamb&#233;m observamos que as teleconsultas cardiol&#243;gicas foram uma excelente oportunidade para ajustes de medicamentos. Quando comparamos os dados do estudo REACT 2013, que avaliou os perfis de prescri&#231;&#227;o de medicamentos de acordo com as evid&#234;ncias, observamos que a taxa de inibidores da enzima conversora de angiotensina (IECA) prescritos (53%) foi semelhante &#224; de nossos achados.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> Antes das teleconsultas, 13% dos pacientes faziam uso de antiplaquet&#225;rios (somente AAS), n&#250;mero bem inferior ao avaliado no estudo REACT (78%); no entanto, ap&#243;s as teleconsultas, o n&#250;mero diminuiu ainda mais significativamente.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> A grande maioria dos usu&#225;rios de AAS o fazia desnecessariamente, pois a taxa de eventos cardiovasculares pr&#233;vios era baixa. Talvez a mudan&#231;a mais significativa tenha ocorrido nas prescri&#231;&#245;es de estatinas, que praticamente dobraram ap&#243;s as teleconsultas. Houve pouco uso de estatinas (7,8%) antes das teleconsultas, mesmo entre os pacientes com indica&#231;&#227;o de preven&#231;&#227;o prim&#225;ria.</p>
      <p>Esse achado &#233; consistente com o perfil de risco esperado para uma popula&#231;&#227;o com fatores de risco n&#227;o controlados. Nascimento et al.<sup><xref ref-type="bibr" rid="B17">17</xref></sup> analisaram a preval&#234;ncia do uso de estatinas no Brasil; dos 6.511 pacientes entrevistados, apenas 9,4% faziam uso de estatinas, sendo sinvastatina (90,3%), atorvastatina (4,7%) e rosuvastatina (1,9%) as mais utilizadas. A m&#225; ades&#227;o foi descrita por 6,5% dos pacientes.<sup><xref ref-type="bibr" rid="B17">17</xref> - <xref ref-type="bibr" rid="B19">19</xref></sup> Apesar do aumento do n&#250;mero de pacientes em uso de estatinas ap&#243;s as teleconsultas, o n&#250;mero foi ainda inferior ao observado no REACT, talvez pelo maior n&#250;mero de pacientes com maior risco cardiovascular.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> O uso de betabloqueador fora do contexto de insufici&#234;ncia card&#237;aca ou insufici&#234;ncia coronariana foi suspenso em 65,7% dos pacientes, principalmente para tratamento de hipertens&#227;o arterial isolada (sem outras comorbidades). Os betabloqueadores representam a terapia de segunda linha no tratamento dessa patologia.<sup><xref ref-type="bibr" rid="B15">15</xref></sup> Digitalis foi descontinuado em 80% dos pacientes, pois as diretrizes atualizadas de insufici&#234;ncia card&#237;aca recomendam a digoxina em algumas situa&#231;&#245;es.<sup><xref ref-type="bibr" rid="B20">20</xref> , <xref ref-type="bibr" rid="B21">21</xref></sup> Houve grande dificuldade econ&#244;mica para as prescri&#231;&#245;es farmacol&#243;gicas mais atuais, como anticoagulantes orais diretos (DOACs), sacubitril-valsartan e antidiab&#233;ticos mais recentes, dado o alto custo dos medicamentos para o perfil econ&#244;mico da popula&#231;&#227;o e a indisponibilidade de programas governamentais de distribui&#231;&#227;o de medicamentos. Apenas um paciente estava em uso do composto sacubitril-valsartana antes da teleconsulta.</p>
      <p>A baixa taxa de exames solicitados tamb&#233;m se alinhou com a baixa complexidade das patologias. Quando necess&#225;rio, foram priorizados exames mais simples e acess&#237;veis, como eletrocardiograma e radiografia de t&#243;rax. Outra quest&#227;o cr&#237;tica foi a indisponibilidade local de alguns exames, como o ecocardiograma, obrigando a realiza&#231;&#227;o de ajustes e adapta&#231;&#245;es na prescri&#231;&#227;o m&#233;dica. A an&#225;lise desses achados sugere que a teleconsulta tem um excelente potencial para administrar os procedimentos mais atualizados e adequados para pacientes em locais remotos.<sup><xref ref-type="bibr" rid="B6">6</xref> , <xref ref-type="bibr" rid="B11">11</xref> , <xref ref-type="bibr" rid="B12">12</xref></sup></p>
      <p>Este estudo apresenta algumas limita&#231;&#245;es: houve apenas observa&#231;&#227;o da pr&#225;tica, sem randomiza&#231;&#227;o ou compara&#231;&#227;o com pacientes atendidos presencialmente.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclus&#227;o</title>
      <p>A teleconsulta cardiol&#243;gica sob demanda oferece a oportunidade de otimizar o tratamento m&#233;dico de diversas cardiopatias. A maioria dos pacientes foi encaminhada com diagn&#243;sticos sindr&#244;micos sem exames complementares pr&#233;vios. A avalia&#231;&#227;o especializada solicitada geralmente estava dispon&#237;vel localmente e com baixo custo, mas impedia a alta precoce. O treinamento local presumivelmente poderia otimizar o fluxo de encaminhamento.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <title>Refer&#234;ncias</title>
      <ref id="B1">
        <label>1</label>
        <mixed-citation>1. Hollander JE, Carr BG. Virtually Perfect? Telemedicine for Covid-19. N Engl J Med. 2020;382(18):1679-81. doi: 10.1056/NEJMp2003539.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Hollander</surname>
              <given-names>JE</given-names>
            </name>
            <name>
              <surname>Carr</surname>
              <given-names>BG</given-names>
            </name>
          </person-group>
          <article-title>Virtually Perfect? Telemedicine for Covid-19</article-title>
          <source>N Engl J Med</source>
          <year>2020</year>
          <volume>382</volume>
          <issue>18</issue>
          <fpage>1679</fpage>
          <lpage>1681</lpage>
          <issue-id pub-id-type="doi">10.1056/NEJMp2003539</issue-id>
        </element-citation>
      </ref>
      <ref id="B2">
        <label>2</label>
        <mixed-citation>2. Pedrotti CHS, Accorsi TAD, Lima KA, Morbeck RA, Cordioli E. Telemedicine: Brief History Before Exponential Growth During Covid-19 Pandemic. Rev Med. 2020;99(4):1-3. doi: 10.11606/issn.1679-9836.v99i4pi-iii.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Pedrotti</surname>
              <given-names>CHS</given-names>
            </name>
            <name>
              <surname>Accorsi</surname>
              <given-names>TAD</given-names>
            </name>
            <name>
              <surname>Lima</surname>
              <given-names>KA</given-names>
            </name>
            <name>
              <surname>Morbeck</surname>
              <given-names>RA</given-names>
            </name>
            <name>
              <surname>Cordioli</surname>
              <given-names>E</given-names>
            </name>
          </person-group>
          <article-title>Telemedicine: Brief History Before Exponential Growth During Covid-19 Pandemic</article-title>
          <source>Rev Med</source>
          <year>2020</year>
          <volume>99</volume>
          <issue>4</issue>
          <fpage>1</fpage>
          <lpage>3</lpage>
          <pub-id pub-id-type="doi">10.11606/issn.1679-9836.v99i4pi-iii</pub-id>
        </element-citation>
      </ref>
      <ref id="B3">
        <label>3</label>
        <mixed-citation>3. Volterrani M, Sposato B. Remote Monitoring and Telemedicine. Eur Heart J Suppl. 2019;21(Suppl M):M54-M56. doi: 10.1093/eurheartj/suz266.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Volterrani</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Sposato</surname>
              <given-names>B</given-names>
            </name>
          </person-group>
          <article-title>Remote Monitoring and Telemedicine</article-title>
          <source>Eur Heart J Suppl</source>
          <year>2019</year>
          <volume>21</volume>
          <supplement>Suppl M</supplement>
          <fpage>M54</fpage>
          <lpage>M56</lpage>
          <issue-id pub-id-type="doi">10.1093/eurheartj/suz266</issue-id>
        </element-citation>
      </ref>
      <ref id="B4">
        <label>4</label>
        <mixed-citation>4. Brewer R, Goble G, Guy P. A Peach of a Telehealth Program: Georgia Connects Rural Communities to Better Healthcare. Perspect Health Inf Manag. 2011;8(Winter):1c.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Brewer</surname>
              <given-names>R</given-names>
            </name>
            <name>
              <surname>Goble</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Guy</surname>
              <given-names>P</given-names>
            </name>
          </person-group>
          <article-title>A Peach of a Telehealth Program: Georgia Connects Rural Communities to Better Healthcare</article-title>
          <source>Perspect Health Inf Manag</source>
          <year>2011</year>
          <volume>8</volume>
          <issue>Winter</issue>
          <size units="pages">1c</size>
        </element-citation>
      </ref>
      <ref id="B5">
        <label>5</label>
        <mixed-citation>5. Mattos SS, Hazin SM, Regis CT, Ara&#250;jo JSS, Albuquerque FC, Moser LR, et al. A Telemedicine Network for Remote Paediatric Cardiology Services in North-East Brazil. Bull World Health Organ. 2015;93(12):881-7. doi: 10.2471/BLT.14.148874.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Mattos</surname>
              <given-names>SS</given-names>
            </name>
            <name>
              <surname>Hazin</surname>
              <given-names>SM</given-names>
            </name>
            <name>
              <surname>Regis</surname>
              <given-names>CT</given-names>
            </name>
            <name>
              <surname>Ara&#250;jo</surname>
              <given-names>JSS</given-names>
            </name>
            <name>
              <surname>Albuquerque</surname>
              <given-names>FC</given-names>
            </name>
            <name>
              <surname>Moser</surname>
              <given-names>LR</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>A Telemedicine Network for Remote Paediatric Cardiology Services in North-East Brazil</article-title>
          <source>Bull World Health Organ</source>
          <year>2015</year>
          <volume>93</volume>
          <issue>12</issue>
          <fpage>881</fpage>
          <lpage>887</lpage>
          <issue-id pub-id-type="doi">10.2471/BLT.14.148874</issue-id>
        </element-citation>
      </ref>
      <ref id="B6">
        <label>6</label>
        <mixed-citation>6. Kuehn BM. Telemedicine Helps Cardiologists Extend Their Reach. Circulation. 2016;134(16):1189-91. doi: 10.1161/CIRCULATIONAHA.116.025282.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Kuehn</surname>
              <given-names>BM</given-names>
            </name>
          </person-group>
          <article-title>Telemedicine Helps Cardiologists Extend Their Reach</article-title>
          <source>Circulation</source>
          <year>2016</year>
          <volume>134</volume>
          <issue>16</issue>
          <fpage>1189</fpage>
          <lpage>1191</lpage>
          <issue-id pub-id-type="doi">10.1161/CIRCULATIONAHA.116.025282</issue-id>
        </element-citation>
      </ref>
      <ref id="B7">
        <label>7</label>
        <mixed-citation>7. Brazilian Institute of Geography and Statistics. Classification and Characterization of Rural and Urban Spaces in Brazil, a First Approximation. Studies and Research - Geographic Information. Rio de Janeiro: IBGE; 2017.</mixed-citation>
        <element-citation publication-type="report">
          <person-group person-group-type="author">
            <collab>Brazilian Institute of Geography and Statistics</collab>
          </person-group>
          <source>Classification and Characterization of Rural and Urban Spaces in Brazil, a First Approximation. Studies and Research - Geographic Information</source>
          <publisher-loc>Rio de Janeiro</publisher-loc>
          <publisher-name>IBGE</publisher-name>
          <year>2017</year>
        </element-citation>
      </ref>
      <ref id="B8">
        <label>8</label>
        <mixed-citation>8. Rocha R, Atun R, Massuda A, Rache B, Spinola P, Nunes L, et al. Effect of Socioeconomic Inequalities and Vulnerabilities on Health-System Preparedness and Response to COVID-19 in Brazil: A Comprehensive Analysis. Lancet Glob Health. 2021;9(6):e782-e792. doi: 10.1016/S2214-109X(21)00081-4.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Rocha</surname>
              <given-names>R</given-names>
            </name>
            <name>
              <surname>Atun</surname>
              <given-names>R</given-names>
            </name>
            <name>
              <surname>Massuda</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Rache</surname>
              <given-names>B</given-names>
            </name>
            <name>
              <surname>Spinola</surname>
              <given-names>P</given-names>
            </name>
            <name>
              <surname>Nunes</surname>
              <given-names>L</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Effect of Socioeconomic Inequalities and Vulnerabilities on Health-System Preparedness and Response to COVID-19 in Brazil: A Comprehensive Analysis</article-title>
          <source>Lancet Glob Health</source>
          <year>2021</year>
          <volume>9</volume>
          <issue>6</issue>
          <fpage>e782</fpage>
          <lpage>e792</lpage>
          <issue-id pub-id-type="doi">10.1016/S2214-109X(21)00081-4</issue-id>
        </element-citation>
      </ref>
      <ref id="B9">
        <label>9</label>
        <mixed-citation>9. Scheffer M. Demografia M&#233;dica no Brasil 2020. S&#227;o Paulo: Departamento de Medicina Preventiva da Faculdade de Medicina da USP; Conselho Federal de Medicina; 2020.</mixed-citation>
        <element-citation publication-type="book">
          <person-group person-group-type="author">
            <name>
              <surname>Scheffer</surname>
              <given-names>M</given-names>
            </name>
          </person-group>
          <source>Demografia M&#233;dica no Brasil 2020</source>
          <publisher-loc>S&#227;o Paulo</publisher-loc>
          <publisher-name>Departamento de Medicina Preventiva da Faculdade de Medicina da USP; Conselho Federal de Medicina</publisher-name>
          <year>2020</year>
        </element-citation>
      </ref>
      <ref id="B10">
        <label>10</label>
        <mixed-citation>10. Oliveira GMM, Brant LCC, Polanczyk CA, Biolo A, Nascimento BR, Malta DC, et al. Cardiovascular Statistics - Brazil 2020. Arq Bras Cardiol. 2020;115(3):308-439. doi: 10.36660/abc.20200812.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Oliveira</surname>
              <given-names>GMM</given-names>
            </name>
            <name>
              <surname>Brant</surname>
              <given-names>LCC</given-names>
            </name>
            <name>
              <surname>Polanczyk</surname>
              <given-names>CA</given-names>
            </name>
            <name>
              <surname>Biolo</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Nascimento</surname>
              <given-names>BR</given-names>
            </name>
            <name>
              <surname>Malta</surname>
              <given-names>DC</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Cardiovascular Statistics - Brazil 2020</article-title>
          <source>Arq Bras Cardiol</source>
          <year>2020</year>
          <volume>115</volume>
          <issue>3</issue>
          <fpage>308</fpage>
          <lpage>439</lpage>
          <issue-id pub-id-type="doi">10.36660/abc.20200812</issue-id>
        </element-citation>
      </ref>
      <ref id="B11">
        <label>11</label>
        <mixed-citation>11. Accorsi TAD, Azevedo AFB Filho, Matuck BRS, Lopes MP, Ferreira IM, Mocha MR, et al. Cardiology Teleconsultation in the Region with the Largest Number of Isolated Cities in Brazil: Initial data from the Government Program and Insights for Improvement. Cardiol and Cardiovas Med. 2020;4:361-75. doi: 10.26502/fccm.92920133.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Accorsi</surname>
              <given-names>TAD</given-names>
            </name>
            <name>
              <surname>Azevedo</surname>
              <given-names>AFB</given-names>
              <suffix>Filho</suffix>
            </name>
            <name>
              <surname>Matuck</surname>
              <given-names>BRS</given-names>
            </name>
            <name>
              <surname>Lopes</surname>
              <given-names>MP</given-names>
            </name>
            <name>
              <surname>Ferreira</surname>
              <given-names>IM</given-names>
            </name>
            <name>
              <surname>Mocha</surname>
              <given-names>MR</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Cardiology Teleconsultation in the Region with the Largest Number of Isolated Cities in Brazil: Initial data from the Government Program and Insights for Improvement</article-title>
          <source>Cardiol and Cardiovas Med</source>
          <year>2020</year>
          <volume>4</volume>
          <fpage>361</fpage>
          <lpage>375</lpage>
          <issue-id pub-id-type="doi">10.26502/fccm.92920133</issue-id>
        </element-citation>
      </ref>
      <ref id="B12">
        <label>12</label>
        <mixed-citation>12. Lopes MACQ, Oliveira GMM, Ribeiro ALP, Pinto FJ, Rey HCV, Zimerman LI, et al. Guideline of the Brazilian Society of Cardiology on Telemedicine in Cardiology - 2019. Arq Bras Cardiol. 2019;113(5):1006-56. doi: 10.5935/abc.20190205.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Lopes</surname>
              <given-names>MACQ</given-names>
            </name>
            <name>
              <surname>Oliveira</surname>
              <given-names>GMM</given-names>
            </name>
            <name>
              <surname>Ribeiro</surname>
              <given-names>ALP</given-names>
            </name>
            <name>
              <surname>Pinto</surname>
              <given-names>FJ</given-names>
            </name>
            <name>
              <surname>Rey</surname>
              <given-names>HCV</given-names>
            </name>
            <name>
              <surname>Zimerman</surname>
              <given-names>LI</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Guideline of the Brazilian Society of Cardiology on Telemedicine in Cardiology - 2019</article-title>
          <source>Arq Bras Cardiol</source>
          <year>2019</year>
          <volume>113</volume>
          <issue>5</issue>
          <fpage>1006</fpage>
          <lpage>1056</lpage>
          <pub-id pub-id-type="doi">10.5935/abc.20190205</pub-id>
        </element-citation>
      </ref>
      <ref id="B13">
        <label>13</label>
        <mixed-citation>13. Escobar-Curbelo L, Franco-Moreno AI. Application of Telemedicine for the Control of Patients with Acute and Chronic Heart Diseases. Telemed J E Health. 2019;25(11):1033-9. doi: 10.1089/tmj.2018.0199.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Escobar-Curbelo</surname>
              <given-names>L</given-names>
            </name>
            <name>
              <surname>Franco-Moreno</surname>
              <given-names>AI</given-names>
            </name>
          </person-group>
          <article-title>Application of Telemedicine for the Control of Patients with Acute and Chronic Heart Diseases</article-title>
          <source>Telemed J E Health</source>
          <year>2019</year>
          <volume>25</volume>
          <issue>11</issue>
          <fpage>1033</fpage>
          <lpage>1039</lpage>
          <issue-id pub-id-type="doi">10.1089/tmj.2018.0199</issue-id>
        </element-citation>
      </ref>
      <ref id="B14">
        <label>14</label>
        <mixed-citation>14. Rissardo JP, Caprara ALF, Prado ALC, Leite MTB. Investigation of the Cardiovascular Risk Profile in a South Brazilian City: Surveys from 2012 to 2016. Arq Neuropsiquiatr. 2018;76(4):219-24. doi: 10.1590/0004-282x20180020.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Rissardo</surname>
              <given-names>JP</given-names>
            </name>
            <name>
              <surname>Caprara</surname>
              <given-names>ALF</given-names>
            </name>
            <name>
              <surname>Prado</surname>
              <given-names>ALC</given-names>
            </name>
            <name>
              <surname>Leite</surname>
              <given-names>MTB</given-names>
            </name>
          </person-group>
          <article-title>Investigation of the Cardiovascular Risk Profile in a South Brazilian City: Surveys from 2012 to 2016</article-title>
          <source>Arq Neuropsiquiatr</source>
          <year>2018</year>
          <volume>76</volume>
          <issue>4</issue>
          <fpage>219</fpage>
          <lpage>224</lpage>
          <issue-id pub-id-type="doi">10.1590/0004-282x20180020</issue-id>
        </element-citation>
      </ref>
      <ref id="B15">
        <label>15</label>
        <mixed-citation>15. Williams B, Mancia G, Spiering W, Rosei EA, Azizi M, Burnier M, et al. 2018 ESC/ESH Guidelines for the Management of Arterial Hypertension. Eur Heart J. 2018;39(33):3021-104. doi: 10.1093/eurheartj/ehy339.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Williams</surname>
              <given-names>B</given-names>
            </name>
            <name>
              <surname>Mancia</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Spiering</surname>
              <given-names>W</given-names>
            </name>
            <name>
              <surname>Rosei</surname>
              <given-names>EA</given-names>
            </name>
            <name>
              <surname>Azizi</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Burnier</surname>
              <given-names>M</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>2018 ESC/ESH Guidelines for the Management of Arterial Hypertension</article-title>
          <source>Eur Heart J</source>
          <year>2018</year>
          <volume>39</volume>
          <issue>33</issue>
          <fpage>3021</fpage>
          <lpage>3104</lpage>
          <pub-id pub-id-type="doi">10.1093/eurheartj/ehy339</pub-id>
        </element-citation>
      </ref>
      <ref id="B16">
        <label>16</label>
        <mixed-citation>16. Berwanger O, Piva e Mattos LA, Martin JF, Lopes RD, Figueiredo EL, Magnoni D, et al. Evidence-Based Therapy Prescription in High-Cardiovascular Risk Patients: The REACT Study. Arq Bras Cardiol. 2013;100(3):212-20. doi: 10.5935/abc.20130062.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Berwanger</surname>
              <given-names>O</given-names>
            </name>
            <name>
              <surname>Piva e Mattos</surname>
              <given-names>LA</given-names>
            </name>
            <name>
              <surname>Martin</surname>
              <given-names>JF</given-names>
            </name>
            <name>
              <surname>Lopes</surname>
              <given-names>RD</given-names>
            </name>
            <name>
              <surname>Figueiredo</surname>
              <given-names>EL</given-names>
            </name>
            <name>
              <surname>Magnoni</surname>
              <given-names>D</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Evidence-Based Therapy Prescription in High-Cardiovascular Risk Patients: The REACT Study</article-title>
          <source>Arq Bras Cardiol</source>
          <year>2013</year>
          <volume>100</volume>
          <issue>3</issue>
          <fpage>212</fpage>
          <lpage>220</lpage>
          <issue-id pub-id-type="doi">10.5935/abc.20130062</issue-id>
        </element-citation>
      </ref>
      <ref id="B17">
        <label>17</label>
        <mixed-citation>17. Nascimento RCRM, Guerra AA Jr, Alvares J, Gomes IC, Godman B, Bennie M, et al. Statin Use in Brazil: Findings and Implications. Curr Med Res Opin. 2018;34(10):1809-17. doi: 10.1080/03007995.2018.1451312.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Nascimento</surname>
              <given-names>RCRM</given-names>
            </name>
            <name>
              <surname>Guerra</surname>
              <given-names>AA</given-names>
              <suffix>Jr</suffix>
            </name>
            <name>
              <surname>Alvares</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Gomes</surname>
              <given-names>IC</given-names>
            </name>
            <name>
              <surname>Godman</surname>
              <given-names>B</given-names>
            </name>
            <name>
              <surname>Bennie</surname>
              <given-names>M</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Statin Use in Brazil: Findings and Implications</article-title>
          <source>Curr Med Res Opin</source>
          <year>2018</year>
          <volume>34</volume>
          <issue>10</issue>
          <fpage>1809</fpage>
          <lpage>1817</lpage>
          <issue-id pub-id-type="doi">10.1080/03007995.2018.1451312</issue-id>
        </element-citation>
      </ref>
      <ref id="B18">
        <label>18</label>
        <mixed-citation>18. Faludi AA, Izar MCO, Saraiva JFK, Chacra APM, Bianco HT, Afiune A Neto, et al. Atualiza&#231;&#227;o da Diretriz Brasileira de Dislipidemias e Preven&#231;&#227;o da Aterosclerose &#8211; 2017. Arq Bras Cardiol. 2017;109(2 Supl 1):1-76. doi: 10.5935/abc.20170121.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Faludi</surname>
              <given-names>AA</given-names>
            </name>
            <name>
              <surname>Izar</surname>
              <given-names>MCO</given-names>
            </name>
            <name>
              <surname>Saraiva</surname>
              <given-names>JFK</given-names>
            </name>
            <name>
              <surname>Chacra</surname>
              <given-names>APM</given-names>
            </name>
            <name>
              <surname>Bianco</surname>
              <given-names>HT</given-names>
            </name>
            <name>
              <surname>Afiune</surname>
              <given-names>A</given-names>
              <suffix>Neto</suffix>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Atualiza&#231;&#227;o da Diretriz Brasileira de Dislipidemias e Preven&#231;&#227;o da Aterosclerose &#8211; 2017</article-title>
          <source>Arq Bras Cardiol</source>
          <year>2017</year>
          <volume>109</volume>
          <issue>2</issue>
          <supplement>Supl 1</supplement>
          <fpage>1</fpage>
          <lpage>76</lpage>
          <issue-id pub-id-type="doi">10.5935/abc.20170121</issue-id>
        </element-citation>
      </ref>
      <ref id="B19">
        <label>19</label>
        <mixed-citation>19. Vashitz G, Meyer J, Parmet Y, Henkin Y, Peleg R, Gilutz H. Physician Adherence to the Dyslipidemia Guidelines is as Challenging an Issue as Patient Adherence. Fam Pract. 2011;28(5):524-31. doi: 10.1093/fampra/cmr025.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Vashitz</surname>
              <given-names>G</given-names>
            </name>
            <name>
              <surname>Meyer</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Parmet</surname>
              <given-names>Y</given-names>
            </name>
            <name>
              <surname>Henkin</surname>
              <given-names>Y</given-names>
            </name>
            <name>
              <surname>Peleg</surname>
              <given-names>R</given-names>
            </name>
            <name>
              <surname>Gilutz</surname>
              <given-names>H</given-names>
            </name>
          </person-group>
          <article-title>Physician Adherence to the Dyslipidemia Guidelines is as Challenging an Issue as Patient Adherence</article-title>
          <source>Fam Pract</source>
          <year>2011</year>
          <volume>28</volume>
          <issue>5</issue>
          <fpage>524</fpage>
          <lpage>531</lpage>
          <issue-id pub-id-type="doi">10.1093/fampra/cmr025</issue-id>
        </element-citation>
      </ref>
      <ref id="B20">
        <label>20</label>
        <mixed-citation>20. van der Meer P, Gaggin HK, Dec GW. ACC/AHA Versus ESC Guidelines on Heart Failure: JACC Guideline Comparison. J Am Coll Cardiol. 2019;73(21):2756-68. doi: 10.1016/j.jacc.2019.03.478.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>van der Meer</surname>
              <given-names>P</given-names>
            </name>
            <name>
              <surname>Gaggin</surname>
              <given-names>HK</given-names>
            </name>
            <name>
              <surname>Dec</surname>
              <given-names>GW</given-names>
            </name>
          </person-group>
          <article-title>ACC/AHA Versus ESC Guidelines on Heart Failure: JACC Guideline Comparison</article-title>
          <source>J Am Coll Cardiol</source>
          <year>2019</year>
          <volume>73</volume>
          <issue>21</issue>
          <fpage>2756</fpage>
          <lpage>2768</lpage>
          <issue-id pub-id-type="doi">10.1016/j.jacc.2019.03.478</issue-id>
        </element-citation>
      </ref>
      <ref id="B21">
        <label>21</label>
        <mixed-citation>21. Marcondes-Braga FG, Moura LAZ, Issa VS, Vieira JL, Rohde LE, Sim&#245;es MV, et al. Emerging Topics Update of the Brazilian Heart Failure Guideline - 2021. Arq Bras Cardiol. 2021;116(6):1174-212. doi: 10.36660/abc.20210367.</mixed-citation>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Marcondes-Braga</surname>
              <given-names>FG</given-names>
            </name>
            <name>
              <surname>Moura</surname>
              <given-names>LAZ</given-names>
            </name>
            <name>
              <surname>Issa</surname>
              <given-names>VS</given-names>
            </name>
            <name>
              <surname>Vieira</surname>
              <given-names>JL</given-names>
            </name>
            <name>
              <surname>Rohde</surname>
              <given-names>LE</given-names>
            </name>
            <name>
              <surname>Sim&#245;es</surname>
              <given-names>MV</given-names>
            </name>
            <etal>et al</etal>
          </person-group>
          <article-title>Emerging Topics Update of the Brazilian Heart Failure Guideline - 2021</article-title>
          <source>Arq Bras Cardiol</source>
          <year>2021</year>
          <volume>116</volume>
          <issue>6</issue>
          <fpage>1174</fpage>
          <lpage>1212</lpage>
          <pub-id pub-id-type="doi">10.36660/abc.20210367</pub-id>
        </element-citation>
      </ref>
    </ref-list>
    <fn-group>
      <fn fn-type="other">
        <p>Vincula&#231;&#227;o acad&#234;mica</p>
        <p>N&#227;o h&#225; vincula&#231;&#227;o deste estudo a programas de p&#243;s-gradua&#231;&#227;o.</p>
      </fn>
      <fn fn-type="other">
        <p>Aprova&#231;&#227;o &#233;tica e consentimento informado</p>
        <p>Este estudo foi aprovado pelo Comit&#234; de &#201;tica do Hospital Israelita Albert Einstein sob o n&#250;mero de protocolo CAAE: 5804.1222.1.0000.0071. Todos os procedimentos envolvidos nesse estudo est&#227;o de acordo com a Declara&#231;&#227;o de Helsinki de 1975, atualizada em 2013.</p>
      </fn>
    </fn-group>
    <fn-group>
      <fn fn-type="supported-by">
        <p>Fontes de financiamento: O presente estudo n&#227;o teve fontes de financiamento externas.</p>
      </fn>
    </fn-group>
  </back>
  <sub-article article-type="translation" id="TRen" xml:lang="en">
    <front-stub>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Clinical Features and Management of Patients Assessed by Cardiology Teleconsultation in the Brazilian Region with the Highest Number of Isolated Cities</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8023-3466</contrib-id>
          <name>
            <surname>Accorsi</surname>
            <given-names>Tarso Augusto Duenhas</given-names>
          </name>
          <role>Conception and design of the research,Analysis and interpretation of the data,Statistical analysis, Writing of the manuscript</role>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0292-4288</contrib-id>
          <name>
            <surname>Nemoto</surname>
            <given-names>Renato Paladino</given-names>
          </name>
          <role>Analysis and interpretation of the data,Analysis and interpretation of the data, Writing of the manuscript</role>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-8313-9494</contrib-id>
          <name>
            <surname>Nunes</surname>
            <given-names>Jairo Tavares</given-names>
          </name>
          <role>Acquisition of data</role>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-3202-5360</contrib-id>
          <name>
            <surname>Azevedo</surname>
            <given-names>Ant&#244;nio Fernando Barros de</given-names>
            <suffix>Filho</suffix>
          </name>
          <role>Acquisition of data</role>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Moreira</surname>
            <given-names>Flavio Tocci</given-names>
          </name>
          <role>Analysis and interpretation of the data,Statistical analysis, Writing of the manuscript,Critical revision of the manuscript for important intellectual content</role>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kohler</surname>
            <given-names>Karen Francine</given-names>
          </name>
          <role>Critical revision of the manuscript for important intellectual content</role>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lima</surname>
            <given-names>Karine de Amicis</given-names>
          </name>
          <role>Conception and design of the research,Critical revision of the manuscript for important intellectual content</role>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Amaral</surname>
            <given-names>Bruna Dayanne Reges</given-names>
          </name>
          <role>Acquisition of data</role>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Morbeck</surname>
            <given-names>Renata Albaladejo</given-names>
          </name>
          <role>Conception and design of the research</role>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Pedrotti</surname>
            <given-names>Carlos Henrique Sartorato</given-names>
          </name>
          <role>Conception and design of the research,Analysis and interpretation of the data,Critical revision of the manuscript for important intellectual content</role>
          <xref ref-type="aff" rid="aff1001">
            <sup>1</sup>
          </xref>
        </contrib>
      </contrib-group>
      <aff id="aff1001">
        <label>1</label>
        <country country="BR">Brazil</country>
        <institution content-type="original">Hospital Israelita Albert Einstein &#8211; Telemedicine, S&#227;o Paulo, SP &#8211; Brazil</institution>
      </aff>
      <author-notes>
        <corresp id="c01001">Mailing Address: Tarso Augusto Duenhas Accorsi &#8226; Hospital Israelita Albert Einstein &#8211; Departamento de Telemedicina &#8211; Av. Albert Einstein, 627. Postal Code 05652-900, S&#227;o Paulo, SP &#8211; Brazil E-mail: tarsoa@einstein.br</corresp>
        <fn fn-type="other">
          <p>Potential conflict of interest</p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background</title>
          <p>Cardiovascular diseases are the leading cause of adult mortality. Geographically remote and low-income Brazilian regions lack specialized consultations. The telemedicine management of this population by cardiologists is not fully known.</p>
        </sec>
        <sec>
          <title>Objectives</title>
          <p>To analyze cardiology teleconsultation in the Brazilian region with the highest number of isolated cities.</p>
        </sec>
        <sec>
          <title>Methods</title>
          <p>From February 2020 to October 2021, patients from the North Region of Brazil evaluated by local general practitioners were referred for cardiological evaluation by telemedicine. Referral reasons, demographics, clinical history, physical examinations, tests, medications, and prescriptions pre- and post-telemedicine were analyzed (p&lt;0.05 was considered statistically significant).</p>
        </sec>
        <sec>
          <title>Results</title>
          <p>We analyzed 653 patients. The attendance rate was 85.7% (53.1% female, mean age: 54.2&#177;6.5 years). The main reasons for referral were cardiovascular symptoms (58.1%) and risk factors among asymptomatic patients (13.3%). Only 12.6% had a diagnosed disease. Most patients had regular physical examinations and electrocardiograms. Few had recent complementary tests. The prescription of angiotensin receptor blockers (ARBs), calcium channel blockers and statins was significantly increased, while that of digoxin, noncardiac beta-blockers and acetylsalicylic acid (ASA) was decreased at the first teleconsultation. Most of the tests requested were of low complexity and cost: electrocardiogram (28.2%), chest X-ray (14%), echocardiogram (64.5%) and blood tests (71.8%). For 2.1% of patients, interventions were indicated, and 8% were discharged after the first consultation.</p>
        </sec>
        <sec>
          <title>Conclusion</title>
          <p>On-demand cardiology teleconsultation contributes to heart disease treatment optimization. Most patients were referred with syndromic diagnoses without previous complementary tests. The specialist workup requested was usually available locally and at a low cost but precluded early discharge. Local training could optimize the referral.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>Telecardiology</kwd>
        <kwd>Remote Consultation</kwd>
        <kwd>Telemedicine</kwd>
        <kwd>Referral and Consultation</kwd>
        <kwd>Suburban Population</kwd>
      </kwd-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>Telemedicine (TM) has become an essential resource for the health system as it provides cost-effective care via prompt actions.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> Although multiple kinds of virtual patient assessments have been in practice since the 1970s, TM evaluation has increased in the current decade.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> Progressive scientific evidence supports the use of TM in diverse scenarios.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> Some populations, especially in remote areas with geographical barriers, chronically lack face-to-face healthcare and financing.<sup><xref ref-type="bibr" rid="B4">4</xref></sup> TM has an incredible potential for delivering essential healthcare to these populations, whether by a generalist or specialist.<sup><xref ref-type="bibr" rid="B5">5</xref> , <xref ref-type="bibr" rid="B6">6</xref></sup></p>
        <p>According to the last Brazilian Institute of Geography and Statistics Census, the North Region of Brazil has over 12,500,000 inhabitants, and at least 20% live in remote areas<sup><xref ref-type="bibr" rid="B7">7</xref></sup> that are distant from urban centers or far away from inhabited places and have difficult access. This region is the largest in Brazil, characterized by the Amazon forest (dense, with impaired access to healthcare facilities), with the country&#8217;s lowest population density and Human Development Index ( <xref ref-type="fig" rid="f02001">Figure 1</xref> ).<sup><xref ref-type="bibr" rid="B8">8</xref></sup> Additionally, the North Region has the lowest medical provider density in the country, with an average of one doctor per thousand inhabitants, but reaching 0.2 per thousand inhabitants in remote areas.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> In a recent analysis of health statistics in Brazil, cardiovascular diseases were the leading cause of death in this region, with a worse prognosis than in other areas with higher levels of development.<sup><xref ref-type="bibr" rid="B10">10</xref></sup> In February 2020, the Brazilian government launched a program for teleconsultation in cardiology in this region, aiming to reduce the burden of cardiovascular diseases.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
        <p>
          <fig id="f02001">
            <label>Figure 1</label>
            <caption>
              <title>&#8211; Map of Brazil representing socioeconomic vulnerability index values. States marked with a red pin correspond to the North Region of the country. Adapted from Rocha et al.8</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-120-05-e20220467-20467-gf01-en.tif"/></fig>
        </p>
        <p>Evidence supports the establishment of TM as a strategy for high levels of satisfaction related to assessments, as well as a reduction in specialist times and morbimortality in some cardiovascular disease groups (mainly heart failure patients).<sup><xref ref-type="bibr" rid="B12">12</xref> , <xref ref-type="bibr" rid="B13">13</xref></sup> However, the main reasons for referral to specialists, clinical features, current treatment statuses, and management by TM are not entirely known. These data may presumably realign and adapt the current project and guide other remote initiatives in focusing on a cost-effective strategy.</p>
        <p>The objective of this study was to analyze the attendance data of cardiology teleconsultation management of patients in the Brazilian region with the most isolated cities.</p>
      </sec>
      <sec sec-type="materials|methods">
        <title>Materials and methods</title>
        <p>This was a retrospective descriptive study involving a single TM center (Hospital Israelita Albert Einstein) that was a reference for 104 in situ centers in the North Region of Brazil related to the specialized medical assistance program of the health system development program (PROADI, in the Portuguese acronym) through TM by the Ministry of Health, Brazil ( <xref ref-type="fig" rid="f01001">Central Illustration</xref> ).</p>
        <p>
          <fig id="f01001">
            <label>Central Illustration</label>
            <caption>
              <title>: Clinical Features and Management of Patients Assessed by Cardiology Teleconsultation in the Brazilian Region with the Highest Number of Isolated Cities</title>
            </caption>
            <attrib>Benefits of cardiology teleconsultation in isolated cities. The map illustrates the health facilities in Brazil&#8217;s North Region that are members of the program of specialized medical assistance through telemedicine. Green markings indicate the locations of participating facilities, while gray markings indicate the locations for future equipment installation. Stars indicate extra locations not initially foreseen by the Ministry of Health. Map from Google Maps, Portuguese language. DM: diabetes mellitus; PROADI: specialized medical assistance program of the health system development program through TM by the Ministry of Health.</attrib>
            <graphic xlink:href="1678-4170-abc-120-05-e20220467-20467-gf02-en.tif"/></fig>
        </p>
        <p>Patients were previously assessed by community general practitioners who requested specialist cardiology consultation. According to local health system booking procedures, patients were referred for TM consultation as an alternative to the specialist encounter. All remote assessments of this program included the patient alongside the health facility general practitioner with the cardiologist from the TM center in real time. All facilities were equipped with modern devices allowing a fast internet connection with audio and video. Teleconsultation was performed after confirming perfect audio and image function ( <xref ref-type="fig" rid="f03001">Figure 2</xref> ). On-site physicians who worked in the health center were not necessarily the physicians who referred the patient for specialized evaluation. They had access to the patient&#8217;s medical records and the reason for the referral, and jointly participated in the teleconsultation. Patients had consultations lasting 30 minutes, and all eighteen telemedicine cardiologists worked for four consecutive hours and were previously trained according to institutional TM protocols. At the end of each evaluation, the on-site general practitioner received the online report from the specialist and continued evaluation with reinforcement of explanations, test scheduling, and prescriptions, in addition to filling out the local medical record.</p>
        <p>
          <fig id="f03001">
            <label>Figure 2</label>
            <caption>
              <title>&#8211; External image of a health facility. On-demand cardiology consultation.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-120-05-e20220467-20467-gf03-en.tif"/></fig>
        </p>
        <p>We included consecutive patients evaluated from February 2020 (the beginning of the program) to October 2021. Care was substantially interrupted throughout this operation due to the COVID-19 pandemic, and there has been a progressive resumption since March 2021. From TM medical records, the following parameters were analyzed: reason for referral, demographic data, clinical history, and physical examination, as well as pre- and post-TM evaluation regarding tests, medications, diagnoses, and prescriptions.</p>
        <sec>
          <title>Statistical analysis</title>
          <p>The main statistics were predominantly descriptive. The Kolmogorov&#8210;Smirnov test was used to confirm data normality. Continuous variables were described as mean and standard deviation (SD), and categorical variables were described as absolute numbers and percentages. The only comparison was conducted between prescriptions using McNemar&#8217;s test. Values with p&lt;0.05 were considered statistically significant, and we used IBM-SPSS for Windows version 22.0 software for statistical calculations.</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>A total of 653 patients scheduled from 02/17/2020 to 10/04/2021 were evaluated, with a consultation attendance rate of 85.7%. The majority were female, with a mean age of 54.2 years. There was strong evidence of low-income patients characterized by educational level; the main reason for referral was the presence of at least one of the following symptoms: dyspnea, chest pain, syncope, or palpitations. Most of the patients had not had any major cardiovascular events, despite the presence of risk factors for cardiovascular diseases among most of the evaluated patients; 60.1% had hypertension, followed by dyslipidemia, smoking and diabetes mellitus. Few reported regular physical activity ( <xref ref-type="table" rid="t1001">Table 1</xref> ). Only some cardiovascular-related symptoms were explored during teleconsultation, and a local physician guided by a remote cardiologist performed a physical examination. The most commonly reported symptom was chest pain, but only 26.1% of the patients were highly suspected to have ischemic heart disease. Dyspnea was reported in 1/3 of the patients, and a few of them were in NYHA functional class III or IV. Surprisingly, palpitations were noticed in 151 (26.8%) patients, while syncope was uncommonly observed. Heart rate and blood pressure were measured for all patients before teleconsultation and had a mean and standard deviation of 76.9&#177;13.8, 136.4&#177;67.3 (systolic), and 82.1&#177;13.9 (diastolic), respectively. Many patients had a normal physical examination with few cases of murmur or signs of heart failure detected ( <xref ref-type="table" rid="t2001">Table 2</xref> ).</p>
        <p>
          <table-wrap id="t1001">
            <label>Table 1</label>
            <caption>
              <title>&#8211; Attendance and baseline demographic and clinical features</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col/>
                <col/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left">Variable</th>
                  <th>Description</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td> </td>
                  <td align="center">
                    <bold>mean &#177; SD</bold>
                  </td>
                </tr>
                <tr>
                  <td>Age (Years)</td>
                  <td align="center">54.2&#177;16.5</td>
                </tr>
                <tr>
                  <td> </td>
                  <td align="center">
                    <bold>n (%)</bold>
                  </td>
                </tr>
                <tr>
                  <td>Positive attendance</td>
                  <td align="center">563 (85.7)</td>
                </tr>
                <tr>
                  <td colspan="2">
                    <bold>Gender</bold>
                  </td>
                </tr>
                <tr>
                  <td>Male</td>
                  <td align="center">264 (46.9)</td>
                </tr>
                <tr>
                  <td>Female</td>
                  <td align="center">299 (53.1)</td>
                </tr>
                <tr>
                  <td colspan="2">
                    <bold>Educational level</bold>
                  </td>
                </tr>
                <tr>
                  <td>No formal education</td>
                  <td align="center">181 (34.5)</td>
                </tr>
                <tr>
                  <td>Elementary incomplete</td>
                  <td align="center">56 (10.7)</td>
                </tr>
                <tr>
                  <td>Elementary complete</td>
                  <td align="center">68 (13)</td>
                </tr>
                <tr>
                  <td>Incomplete high school</td>
                  <td align="center">53 (10.1)</td>
                </tr>
                <tr>
                  <td>Complete high school</td>
                  <td align="center">135 (25.8)</td>
                </tr>
                <tr>
                  <td>Incomplete university</td>
                  <td align="center">15 (2.9)</td>
                </tr>
                <tr>
                  <td>Complete university</td>
                  <td align="center">16 (3.1)</td>
                </tr>
                <tr>
                  <td colspan="2">
                    <bold>Reason for referral</bold>
                  </td>
                </tr>
                <tr>
                  <td>At least one: dyspnea/chest pain/syncope/edema/palpitation</td>
                  <td align="center">327 (58.1)</td>
                </tr>
                <tr>
                  <td>Risk factors for cardiovascular disease</td>
                  <td align="center">75 (13.3)</td>
                </tr>
                <tr>
                  <td>Diagnosed arrhythmia</td>
                  <td align="center">31 (5.5)</td>
                </tr>
                <tr>
                  <td>Diagnosed coronary artery disease</td>
                  <td align="center">18 (3.2)</td>
                </tr>
                <tr>
                  <td>Diagnosed heart failure</td>
                  <td align="center">13 (2.3)</td>
                </tr>
                <tr>
                  <td>Diagnosed valvular heart disease</td>
                  <td align="center">9 (1.6)</td>
                </tr>
                <tr>
                  <td>Others</td>
                  <td align="center">90 (16)</td>
                </tr>
                <tr>
                  <td colspan="2">
                    <bold>Baseline medical history</bold>
                  </td>
                </tr>
                <tr>
                  <td>Previous cardiovascular hospitalization</td>
                  <td align="center">52 (9.2)</td>
                </tr>
                <tr>
                  <td>Coronary angioplasty</td>
                  <td align="center">11 (2)</td>
                </tr>
                <tr>
                  <td>Coronary artery bypass graft</td>
                  <td align="center">11 (2)</td>
                </tr>
                <tr>
                  <td>Stroke</td>
                  <td align="center">28 (5)</td>
                </tr>
                <tr>
                  <td>Peripheral obstructive artery disease</td>
                  <td align="center">7 (1.2)</td>
                </tr>
                <tr>
                  <td>Hypertension</td>
                  <td align="center">338 (60.1)</td>
                </tr>
                <tr>
                  <td>Altered fasting blood glucose</td>
                  <td align="center">28 (5)</td>
                </tr>
                <tr>
                  <td>Diabetes mellitus</td>
                  <td align="center">87 (15.5)</td>
                </tr>
                <tr>
                  <td>Dyslipidemia</td>
                  <td align="center">164 (29.1)</td>
                </tr>
                <tr>
                  <td>Regular physical activity</td>
                  <td align="center">53 (9.4)</td>
                </tr>
                <tr>
                  <td>Smoking</td>
                  <td align="center">103 (18.3)</td>
                </tr>
                <tr>
                  <td colspan="2">
                    <bold>Non-cardiovascular chronic condition</bold>
                  </td>
                </tr>
                <tr>
                  <td>Respiratory diseases</td>
                  <td align="center">18 (3.2)</td>
                </tr>
                <tr>
                  <td>Digestive system diseases</td>
                  <td align="center">24 (4.3)</td>
                </tr>
                <tr>
                  <td>Genitourinary system diseases</td>
                  <td align="center">21 (3.7)</td>
                </tr>
                <tr>
                  <td>Rheumatologic diseases</td>
                  <td align="center">20 (3.6)</td>
                </tr>
                <tr>
                  <td>Psychiatric/neurological diseases</td>
                  <td align="center">41 (7.3)</td>
                </tr>
                <tr>
                  <td>Endocrinological diseases</td>
                  <td align="center">35 (6.2)</td>
                </tr>
                <tr>
                  <td>Hematologic/immune diseases</td>
                  <td align="center">4 (0.7)</td>
                </tr>
                <tr>
                  <td>Alcoholism</td>
                  <td align="center">24 (4.3)</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </p>
        <p>
          <table-wrap id="t2001">
            <label>Table 2</label>
            <caption>
              <title>&#8211; Consultation clinical features and recent complementary tests</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col/>
                <col/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left">Variable</th>
                  <th>Description</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td> </td>
                  <td align="center">
                    <bold>n (%)</bold>
                  </td>
                </tr>
                <tr>
                  <td>Dyspnea</td>
                  <td align="center">167 (29.7)</td>
                </tr>
                <tr>
                  <td colspan="2">
                    <bold>NYHA functional class</bold>
                  </td>
                </tr>
                <tr>
                  <td>I/II</td>
                  <td align="center">142 (95.5)</td>
                </tr>
                <tr>
                  <td>III/IV</td>
                  <td align="center">25 (4.5)</td>
                </tr>
                <tr>
                  <td>Chest Pain</td>
                  <td align="center">277 (49.2)</td>
                </tr>
                <tr>
                  <td>
                    <bold>Types of chest pain</bold>
                  </td>
                  <td> </td>
                </tr>
                <tr>
                  <td>Type D - definitely not angina</td>
                  <td align="center">96 (34.6)</td>
                </tr>
                <tr>
                  <td>Type C - probably not angina</td>
                  <td align="center">109 (39.3)</td>
                </tr>
                <tr>
                  <td>Type B - probably angina</td>
                  <td align="center">44 (15.9)</td>
                </tr>
                <tr>
                  <td>Type A - definitely angina</td>
                  <td align="center">28 (10.2)</td>
                </tr>
                <tr>
                  <td colspan="2">
                    <bold>Canadian Cardiovascular Society angina grade in type A/B</bold>
                  </td>
                </tr>
                <tr>
                  <td>I/II</td>
                  <td align="center">55 (76.6)</td>
                </tr>
                <tr>
                  <td>III/IV</td>
                  <td align="center">17 (23.4)</td>
                </tr>
                <tr>
                  <td>Palpitations</td>
                  <td align="center">151 (26.8)</td>
                </tr>
                <tr>
                  <td>Syncope</td>
                  <td align="center">14 (2.5)</td>
                </tr>
                <tr>
                  <td>Murmur</td>
                  <td align="center">26 (4.6)</td>
                </tr>
                <tr>
                  <td>Jugular stasis</td>
                  <td align="center">8 (1.4)</td>
                </tr>
                <tr>
                  <td>Peripheral edema</td>
                  <td align="center">32 (5.7)</td>
                </tr>
                <tr>
                  <td>Rales in lung auscultation</td>
                  <td align="center">13 (2.3)</td>
                </tr>
                <tr>
                  <td colspan="2">
                    <bold>Electrocardiogram</bold>
                  </td>
                </tr>
                <tr>
                  <td>normal, n (%)</td>
                  <td align="center">252 (59.3)</td>
                </tr>
                <tr>
                  <td>atrial fibrillation / flutter, n (%)</td>
                  <td align="center">11 (2.6)</td>
                </tr>
                <tr>
                  <td>any degree of sick sinus syndrome or atrioventricular block</td>
                  <td align="center">18 (4.2)</td>
                </tr>
                <tr>
                  <td>any chamber overload</td>
                  <td align="center">69 (16.2)</td>
                </tr>
                <tr>
                  <td>unspecific altered repolarization</td>
                  <td align="center">38 (8.9)</td>
                </tr>
                <tr>
                  <td>Others</td>
                  <td align="center">37 (8.7)</td>
                </tr>
                <tr>
                  <td>Chest radiography suggested of any heart disease</td>
                  <td align="center">21 (45.7) / n=46</td>
                </tr>
                <tr>
                  <td colspan="2">
                    <bold>Echocardiogram (n=82)</bold>
                  </td>
                </tr>
                <tr>
                  <td>Normal</td>
                  <td align="center">39 (47.6)</td>
                </tr>
                <tr>
                  <td>left ventricular ejection fraction &lt; 50%</td>
                  <td align="center">7 (8.5)</td>
                </tr>
                <tr>
                  <td>left ventricular hypertrophy</td>
                  <td align="center">18 (22)</td>
                </tr>
                <tr>
                  <td>severe valvular heart disease</td>
                  <td align="center">12 (14.6)</td>
                </tr>
                <tr>
                  <td>segmental left ventricular hypokinesis</td>
                  <td align="center">5 (6.1)</td>
                </tr>
                <tr>
                  <td>Others</td>
                  <td align="center">1 (1.2)</td>
                </tr>
                <tr>
                  <td>Abnormal Holter (premature ventricular beats, tachycardia, bradycardia) (n=30)</td>
                  <td align="center">16 (53.3)</td>
                </tr>
                <tr>
                  <td>Ischemic treadmill test (n=20)</td>
                  <td align="center">0 (0)</td>
                </tr>
                <tr>
                  <td colspan="2">
                    <bold>Cardiac coronary catheterization (n=20)</bold>
                  </td>
                </tr>
                <tr>
                  <td>Normal</td>
                  <td align="center">7 (35)</td>
                </tr>
                <tr>
                  <td>non-significant coronary artery disease</td>
                  <td align="center">5 (25)</td>
                </tr>
                <tr>
                  <td>obstructive coronary artery disease</td>
                  <td align="center">8 (40)</td>
                </tr>
                <tr>
                  <td> </td>
                  <td align="center">
                    <bold>m&#233;dia</bold>
                    <underline>
                      <bold>+</bold>
                    </underline>
                    <bold>DP</bold>
                  </td>
                </tr>
                <tr>
                  <td>Heart rate, mean &#177; SD</td>
                  <td align="center">76.9 &#177; 13.8</td>
                </tr>
                <tr>
                  <td>Systolic blood pressure, mean &#177; SD</td>
                  <td align="center">136.4 &#177; 67.3</td>
                </tr>
                <tr>
                  <td>Diastolic blood pressure, mean &#177; SD</td>
                  <td align="center">82.1 &#177; 13.9</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </p>
        <p>Electrocardiograms were performed for all patients, and most were normal. Other tests, such as echocardiograms and exercise tests, were performed for fewer patients, also with primarily normal results. The cases were managed by comparing previous baseline prescriptions with teleconsultation prescriptions and describing the complementary tests required ( <xref ref-type="table" rid="t3001">Table 3</xref> ). All medicine prescriptions were changed to some degree, but only ARBs, digoxin, non-HF betablockers, ASA, calcium channel blockers, and statins were statistically significant. Most of the newly requested tests were of low complexity and low cost, such as electrocardiogram, chest radiography, echocardiogram and blood tests. The treadmill test was the most common noninvasive assessment of ischemic heart disease, requested in 31.8% of the cases. More complex tests, such as computed tomography (CT) scans and cardiac catheterization, were uncommon. Very few patients were indicated for surgical or transcatheter intervention.</p>
        <p>
          <table-wrap id="t3001">
            <label>Table 3</label>
            <caption>
              <title>&#8211; Medicine management and new tests requested</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup>
                <col/>
                <col/>
                <col/>
                <col/>
              </colgroup>
              <thead>
                <tr>
                  <th align="left">Medication (n=563)</th>
                  <th>Previous n (%)</th>
                  <th>After teleconsultation n (%)</th>
                  <th>p*</th>
                </tr>
              </thead>
              <tbody>
                <tr>
                  <td>ACEi</td>
                  <td align="center">31 (5.5)</td>
                  <td align="center">47 (8.3)</td>
                  <td align="center">0.596</td>
                </tr>
                <tr>
                  <td>ARB II</td>
                  <td align="center">94 (16.7)</td>
                  <td align="center">123 (21.8)</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>HF Beta blocker</td>
                  <td align="center">26 (4.6)</td>
                  <td align="center">39 (6.9)</td>
                  <td align="center">0.461</td>
                </tr>
                <tr>
                  <td>Spironolactone</td>
                  <td align="center">19 (3.4)</td>
                  <td align="center">13 (2.3)</td>
                  <td align="center">0.201</td>
                </tr>
                <tr>
                  <td>Sacubritril &#8211; valsartan</td>
                  <td align="center">0 (0)</td>
                  <td align="center">1 (0.2)</td>
                  <td align="center">&gt;0.999</td>
                </tr>
                <tr>
                  <td>Diuretic</td>
                  <td align="center">62 (11)</td>
                  <td align="center">78 (13.9)</td>
                  <td align="center">0.579</td>
                </tr>
                <tr>
                  <td>Digoxin</td>
                  <td align="center">8 (1.4)</td>
                  <td align="center">2 (0.4)</td>
                  <td align="center">0.008</td>
                </tr>
                <tr>
                  <td>Non-HF Beta blocker</td>
                  <td align="center">50 (8.9)</td>
                  <td align="center">26 (4.6)</td>
                  <td align="center">0.024</td>
                </tr>
                <tr>
                  <td>ASA</td>
                  <td align="center">75 (13.3)</td>
                  <td align="center">57 (10.1)</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>P2Y12 inhibitors</td>
                  <td align="center">5 (0.9)</td>
                  <td align="center">7 (1.2)</td>
                  <td align="center">&gt;0.999</td>
                </tr>
                <tr>
                  <td>Warfarin</td>
                  <td align="center">2 (0.4)</td>
                  <td align="center">2 (0.4)</td>
                  <td align="center">0.289</td>
                </tr>
                <tr>
                  <td>DOAC</td>
                  <td align="center">1 (0.2)</td>
                  <td align="center">5 (0.9)</td>
                  <td align="center">0.375</td>
                </tr>
                <tr>
                  <td>Calcium channel blocker</td>
                  <td align="center">33 (5.9)</td>
                  <td align="center">36 (6.4)</td>
                  <td align="center">0.007</td>
                </tr>
                <tr>
                  <td>Oral antidiabetic</td>
                  <td align="center">2 (0,4)</td>
                  <td align="center">1 (0,2)</td>
                  <td align="center">0.289</td>
                </tr>
                <tr>
                  <td>Insulin</td>
                  <td align="center">5 (0,9)</td>
                  <td align="center">3 (0,5)</td>
                  <td align="center">&gt;0.999</td>
                </tr>
                <tr>
                  <td>New oral antidiabetics</td>
                  <td align="center">2 (0,4)</td>
                  <td align="center">1 (0,2)</td>
                  <td align="center">0.289</td>
                </tr>
                <tr>
                  <td>Statin</td>
                  <td align="center">44 (7,8)</td>
                  <td align="center">80 (14,2)</td>
                  <td align="center">&lt;0.001</td>
                </tr>
                <tr>
                  <td>Fibrate</td>
                  <td align="center">5 (0,9)</td>
                  <td align="center">1 (0,2)</td>
                  <td align="center">0.727</td>
                </tr>
                <tr>
                  <td>Nitrate</td>
                  <td align="center">7 (1,2)</td>
                  <td align="center">4 (0,7</td>
                  <td align="center">0.804</td>
                </tr>
                <tr>
                  <td colspan="2">
                    <bold>Requested tests, intervention indication and discharge (n=563)</bold>
                  </td>
                  <td align="center" colspan="2">
                    <bold>n (%)</bold>
                  </td>
                </tr>
                <tr>
                  <td colspan="2">Electrocardiogram</td>
                  <td align="center" colspan="2">159 (28.2)</td>
                </tr>
                <tr>
                  <td colspan="2">Chest radiography</td>
                  <td align="center" colspan="2">83 (14.7)</td>
                </tr>
                <tr>
                  <td colspan="2">Echocardiogram</td>
                  <td align="center" colspan="2">363 (64.5)</td>
                </tr>
                <tr>
                  <td colspan="2">Blood tests</td>
                  <td align="center" colspan="2">404 (71.8)</td>
                </tr>
                <tr>
                  <td colspan="2">Treadmill test/myocardial scintigraphy</td>
                  <td align="center" colspan="2">179 (31.8)</td>
                </tr>
                <tr>
                  <td colspan="2">ABPM</td>
                  <td align="center" colspan="2">86 (15.3)</td>
                </tr>
                <tr>
                  <td colspan="2">Any ultrasound</td>
                  <td align="center" colspan="2">18 (3.2)</td>
                </tr>
                <tr>
                  <td colspan="2">Any CT scan</td>
                  <td align="center" colspan="2">36 (6.4)</td>
                </tr>
                <tr>
                  <td colspan="2">Cardiac catheterization</td>
                  <td align="center" colspan="2">31 (5.5)</td>
                </tr>
                <tr>
                  <td colspan="2">Intervention</td>
                  <td align="center" colspan="2">12 (2.1)</td>
                </tr>
                <tr>
                  <td colspan="2">Discharge</td>
                  <td align="center" colspan="2">45 (8)</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN1001">
                <p>ACEi: angiotensin-converting enzyme inhibitors; ARB: angiotensin receptor blockers; ASA: acetylsalicylic acid; HF: heart failure; DOAC: direct-acting oral anticoagulants; ABPM: Ambulatory blood pressure monitoring; CT: computed tomography * McNemar test.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </p>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <p>This is the first study to analyze the characteristics and management of on-demand TM cardiology consultations for low-income populations in remote areas of Brazil. Considering the new implementation of this program and the difficulties related to the geographic and demographic characteristics of the North Region of Brazil, which has isolated areas and a low proportion of physicians per inhabitant, the positive attendance rate of 85.7% was satisfactory. For example, local physicians reported that many patients had difficulties accessing the consultation location, with boat journeys taking more than one day. Additionally, many patients needed companions to help them understand basic explanations about the treatment.</p>
        <p>We noticed some differences in the most current statistics when analyzing the data collection results. For example, the number of cardiological teleconsultations for female patients was slightly higher than that for males (53.1 vs. 46.9%), differing from the results of the 2020 Brazilian cardiovascular statistics article, in which the global prevalence of cardiovascular diseases (CVDs) in the North Region was higher among males (54%).<sup><xref ref-type="bibr" rid="B10">10</xref></sup></p>
        <p>The main reasons for referral were chest pain, dyspnea, palpitations, and syncope. In general, the complexity profiles of the evaluated patients were considered low. Clinical features of low probability of angina and coronary artery disease were observed (resulting in the low number of diagnostic and therapeutic interventions indicated). Most patients with dyspnea were classified as having nonlimiting dyspnea, with multifactorial characteristics. A low rate of previous infarctions, coronary artery bypass grafting, and left ventricular dysfunction was also observed. The incidence of syncope was low, and the most significant change identified on the 24-hour Holter test were isolated extrasystoles.</p>
        <p>In clinical evaluation, the main risk factors identified for cardiovascular diseases were obesity, sedentary lifestyle, hypertension, and diabetes mellitus, consistent with the worldwide increase in the prevalence of metabolic syndrome, as demonstrated by Rissardo et al., who studied the cardiovascular risk profiles of men and women in Santa Maria, a small city in the southern region of the country, from 2012 to 2016.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> Interestingly, the prevalence of smokers was low, perhaps due to the effectiveness of campaigns raising awareness against smoking.</p>
        <p>Mean systolic and diastolic blood pressure levels showed a tendency toward prehypertension. However, potential measurement biases and white coat hypertension must be considered.<sup><xref ref-type="bibr" rid="B15">15</xref></sup></p>
        <p>We also observed that cardiology teleconsultations were an excellent opportunity for medication adjustments. When we compared the REACT 2013 study data, which evaluated the drug prescription profiles according to the evidence, we noticed that the rate of angiotensin-converting enzyme (ACE) inhibitors prescribed (53%) was similar to that in our findings.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> Before teleconsultations, 13% of the patients were using antiplatelet drugs (ASA only), a number much lower than that evaluated in the REACT study (78%); however, after teleconsultations, the number decreased even more significantly.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> The vast majority of ASA users did so unnecessarily since the rate of previous cardiovascular events was low. Perhaps the most significant change was in statin prescriptions, which practically doubled after teleconsultations. There was little use of statins (7.8%) before the teleconsultations, even among patients with indications for primary prevention.</p>
        <p>This finding is consistent with the expected risk profile for a population with uncontrolled risk factors. Nascimento et al.<sup><xref ref-type="bibr" rid="B17">17</xref></sup> analyzed the prevalence of statin use in Brazil; of the 6,511 patients interviewed, only 9.4% used statins, with simvastatin (90.3%), atorvastatin (4.7%) and rosuvastatin (1.9%) being the most commonly used. Poor adherence was described by 6.5% of patients.<sup><xref ref-type="bibr" rid="B17">17</xref> - <xref ref-type="bibr" rid="B19">19</xref></sup> Despite the increase in the number of patients using statins after teleconsultations, the number was still lower than that observed in REACT, perhaps due to the higher number of patients with increased cardiovascular risk.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> The use of betablockers outside the context of heart failure or coronary insufficiency was discontinued for 65.7% of patients, mainly for the treatment of isolated arterial hypertension (no other comorbidities). Betablockers represent second-line therapy in treating this pathology.<sup><xref ref-type="bibr" rid="B15">15</xref></sup> Digitalis was discontinued for 80% of patients, as the updated heart failure guidelines recommend digoxin in some situations.<sup><xref ref-type="bibr" rid="B20">20</xref> , <xref ref-type="bibr" rid="B21">21</xref></sup> There was great economic difficulty for the most current pharmacological prescriptions, such as direct-acting oral anticoagulants (DOACs)s, sacubitril-valsartan, and more recent antidiabetic drugs, given the high cost of medications for the population&#8217;s economic profile and the unavailability of government drug-dispensing programs. Only one patient was using the sacubitril-valsartan compound before the teleconsultation.</p>
        <p>The low rate of tests requested also aligned with the low complexity of the pathologies. When necessary, priority was given to more straightforward and accessible tests, such as electrocardiograms and chest radiography. Another critical issue was the local unavailability of some tests, such as echocardiograms, which forced adjustments and adaptations to the medical prescription. The analysis of these findings suggests that teleconsultation has excellent potential for managing the most up-to-date and appropriate procedures for patients in remote locations.<sup><xref ref-type="bibr" rid="B6">6</xref> , <xref ref-type="bibr" rid="B11">11</xref> , <xref ref-type="bibr" rid="B12">12</xref></sup></p>
        <p>This study has some limitations: there was only observation of practice, without randomization or comparison with patients seen face-to-face.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusion</title>
        <p>On-demand cardiology teleconsultation provides an opportunity to optimize the medical treatment of several heart diseases. Most patients were referred with syndromic diagnoses without previous complementary tests. The specialist workup requested was usually locally available and at low cost but precluded early discharge. Local training could presumably optimize the referral flow.</p>
      </sec>
    </body>
    <back>
      <fn-group>
        <fn fn-type="other">
          <p>Study association</p>
          <p>This study is not associated with any thesis or dissertation work.</p>
        </fn>
        <fn fn-type="other">
          <p>Ethics approval and consent to participate</p>
          <p>This study was approved by the Ethics Committee of the Hospital Israelita Albert Einstein under the protocol number CAAE: 5804.1222.1.0000.0071. All the procedures in this study were in accordance with the 1975 Helsinki Declaration, updated in 2013.</p>
        </fn>
      </fn-group>
      <fn-group>
        <fn fn-type="supported-by">
          <p>Sources of funding: There were no external funding sources for this study.</p>
        </fn>
      </fn-group>
    </back>
  </sub-article>
</article>
