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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Arq Bras Cardiol</journal-id>
      <journal-id journal-id-type="publisher-id">abc</journal-id>
      <journal-title-group>
        <journal-title>Arquivos Brasileiros de Cardiologia</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Arq. Bras. Cardiol.</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0066-782X</issn>
      <issn pub-type="epub">1678-4170</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia - SBC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id specific-use="scielo-v3" pub-id-type="publisher-id">Td5CKLdyXhvHWYnRMTT7Dnj</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S0066-782X2022000601108</article-id>
      <article-id pub-id-type="publisher-id">abc.20210035</article-id>
      <article-id pub-id-type="doi">10.36660/abc.20210035</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigo Original</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Escore Albumina-Bilirrubina para Predizer Desfechos em Pacientes com Cardiomiopatia Dilatada Idiop&#225;tica</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8228-0274</contrib-id>
          <name>
            <surname>Jiang</surname>
            <given-names>Mei</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <xref ref-type="fn" rid="fn1">
            <sup>*</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-1279-9441</contrib-id>
          <name>
            <surname>Wei</surname>
            <given-names>Xue-biao</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
          <xref ref-type="fn" rid="fn1">
            <sup>*</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Huang</surname>
            <given-names>Jie-leng</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-3168-687X</contrib-id>
          <name>
            <surname>Su</surname>
            <given-names>Ze-da-zhong</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lin</surname>
            <given-names>Ying-wen</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-1017-8326</contrib-id>
          <name>
            <surname>Yu</surname>
            <given-names>Dan-qing</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Southern Medical University</institution>
          <institution content-type="orgdiv1">The Second School of Clinical Medicine</institution>
          <addr-line>
            <named-content content-type="city">Guangzhou</named-content>
            <named-content content-type="state">Guangdong</named-content>
          </addr-line>
          <country country="CN">China</country>
          <institution content-type="original">The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong &#8211; China</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution content-type="orgname">Guangdong Provincial People's Hospital</institution>
          <institution content-type="orgdiv1">Guangdong Cardiovascular Institute</institution>
          <institution content-type="orgdiv2">Department of Cardiology</institution>
          <addr-line>
            <named-content content-type="city">Guangzhou</named-content>
            <named-content content-type="state">Guangdong</named-content>
          </addr-line>
          <country country="CN">China</country>
          <institution content-type="original">Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong &#8211; China</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution content-type="orgname">Guangdong Provincial People's Hospital</institution>
          <institution content-type="orgdiv1">Guangdong Provincial Geriatrics Institute</institution>
          <institution content-type="orgdiv2">Department of Geriatric Intensive Medicine</institution>
          <addr-line>
            <named-content content-type="city">Guangzhou</named-content>
            <named-content content-type="state">Guangdong</named-content>
          </addr-line>
          <country country="CN">China</country>
          <institution content-type="original">Department of Geriatric Intensive Medicine, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong &#8211; China</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><bold>Correspond&#234;ncia: Dan-qing Yu</bold> &#8226; Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou <postal-code>510080</postal-code> - China. E-mail: <email>gdydq100@126.com</email></corresp>
        <fn fn-type="equal" id="fn1">
          <label>*</label>
          <p>Os autores contribu&#237;ram igualmente para esse artigo</p>
        </fn>
        <fn fn-type="con">
          <p>
            <bold>Contribui&#231;&#227;o dos autores</bold>
          </p>
          <p>Concep&#231;&#227;o e desenho da pesquisa: Mei J, Xue-biao W, Danqing Y; Obten&#231;&#227;o de dados, An&#225;lise e interpreta&#231;&#227;o dos dados e An&#225;lise estat&#237;stica: Mei J, Xue-biao W, Jie-leng H, Zedazhong S, Ying-wen L; Reda&#231;&#227;o do manuscrito: Mei J, Xue-biao W; Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do intelectual importante: Danqing Y.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potencial conflito de interesse</bold>
          </p>
          <p>N&#227;o h&#225; conflito com o presente artigo</p>
        </fn>
      </author-notes>
      <pub-date publication-format="electronic" date-type="pub">
        <day>10</day>
        <month>06</month>
        <year>2022</year>
      </pub-date>
      <pub-date publication-format="electronic" date-type="collection">
        <year>2022</year>
      </pub-date>
      <volume>118</volume>
      <issue>6</issue>
      <fpage>1108</fpage>
      <lpage>1115</lpage>
      <history>
        <date date-type="received">
          <day>21</day>
          <month>01</month>
          <year>2021</year>
        </date>
        <date date-type="rev-recd">
          <day>29</day>
          <month>07</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>01</day>
          <month>09</month>
          <year>2021</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xml:lang="en" xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Resumo</title>
        <sec>
          <title>Fundamento:</title>
          <p>A disfun&#231;&#227;o hep&#225;tica &#233; uma vari&#225;vel postulada de progn&#243;stico desfavor&#225;vel na cardiomiopatia dilatada (CMD).</p>
        </sec>
        <sec>
          <title>Objetivo:</title>
          <p>Este estudo teve como objetivo investigar o valor progn&#243;stico do escore albumina-bilirrubina (ALBI), um modelo relativamente novo para a avalia&#231;&#227;o da fun&#231;&#227;o hep&#225;tica, em pacientes com CMD idiop&#225;tica.</p>
        </sec>
        <sec>
          <title>M&#233;todos:</title>
          <p>Um total de 1.025 pacientes com CMD idiop&#225;tica foram inclu&#237;dos retrospectivamente e divididos em tr&#234;s grupos com base nos escores de ALBI: grau 1 (&#8804; &#8722;2,60, n = 113), grau 2 (&#8722;2,60 a &#8722;1,39, n = 835) e grau 3 (&gt; &#8722;1,39, n = 77). Foi analisada a associa&#231;&#227;o do escore ALBI com eventos cl&#237;nicos adversos maiores (ECAM) intra-hospitalares e mortalidade a longo prazo. Valor de p inferior a 0,05 foi considerado estatisticamente significativo.</p>
        </sec>
        <sec>
          <title>Resultados:</title>
          <p>A taxa de ECAM intra-hospitalares foi significativamente maior nos pacientes com grau 3 (2,7% versus 7,1% versus 24,7%, p &lt; 0,001). A an&#225;lise multivariada mostrou que o escore ALBI foi um preditor independente para ECAM intra-hospitalares (<italic>odds ratio</italic> ajustada = 2,80, IC 95%: 1,63 &#8211; 4,80, p &lt; 0,001). Ap&#243;s seguimento mediano de 27 meses, 146 (14,2%) pacientes morreram. A curva de Kaplan-Meier indicou que a taxa cumulativa de sobrevida a longo prazo foi significativamente menor em pacientes com grau mais alto de ALBI (log-rank = 45,50, p &lt; 0,001). O escore ALBI foi independentemente associado &#224; mortalidade a longo prazo (<italic>hazard ratio</italic> ajustada = 2,84, IC 95%: 1,95 &#8211; 4,13, p &lt; 0,001).</p>
        </sec>
        <sec>
          <title>Conclus&#227;o:</title>
          <p>O escore ALBI, como modelo de risco simples, pode ser considerado uma ferramenta de estratifica&#231;&#227;o de risco para pacientes com CMD idiop&#225;tica.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="pt">
        <title>Palavras-chave:</title>
        <kwd>Cardiomiopatia Dilatada</kwd>
        <kwd>Insufici&#234;ncia Card&#237;aca</kwd>
        <kwd>Progn&#243;stico</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source>Medical Science and Technology Research Founding of Guangdong</funding-source>
          <award-id>A2019409</award-id>
        </award-group>
        <funding-statement>O presente estudo foi financiado por Medical Science and Technology Research Founding of Guangdong (A2019409).</funding-statement>
      </funding-group>
      <counts>
        <fig-count count="4"/>
        <table-count count="8"/>
        <equation-count count="0"/>
        <ref-count count="27"/>
        <page-count count="8"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>A cardiomiopatia dilatada (CMD), uma das principais causas de insufici&#234;ncia card&#237;aca, caracteriza-se por dilata&#231;&#227;o ventricular e disfun&#231;&#227;o sist&#243;lica.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> Cerca de 50% dos casos t&#234;m causa desconhecida, o que &#233; denominado CMD idiop&#225;tica.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> Dados epidemiol&#243;gicos indicam que a mortalidade em um ano da CMD &#233; de 25% a 30%, e que aumentou continuamente em 5 anos.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> Portanto, a avalia&#231;&#227;o cont&#237;nua do risco &#233; essencial para identificar pacientes com alto risco de morte e estabelecer estrat&#233;gias de tratamento ideais para melhorar o progn&#243;stico.</p>
      <p>A les&#227;o hep&#225;tica &#233; comum em pacientes com insufici&#234;ncia card&#237;aca por causa da perfus&#227;o prejudicada e da congest&#227;o sist&#234;mica devido a altera&#231;&#245;es hemodin&#226;micas.<sup><xref ref-type="bibr" rid="B4">4</xref></sup> A disfun&#231;&#227;o hep&#225;tica foi identificada como um dos fatores de risco para desfechos desfavor&#225;veis em pacientes com CMD.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> O escore albumina-bilirrubina (ALBI) &#233; um m&#233;todo simples e objetivo para avaliar a fun&#231;&#227;o hep&#225;tica. Em estudos anteriores, o escore ALBI tem sido amplamente utilizado em pacientes com hepatopatias, incluindo carcinoma hepatocelular, cirrose hep&#225;tica e insufici&#234;ncia hep&#225;tica.<sup><xref ref-type="bibr" rid="B6">6</xref>-<xref ref-type="bibr" rid="B8">8</xref></sup> Al&#233;m disso, Matsue e colaboradores indicaram que o escore ALBI est&#225; associado &#224; sobrecarga h&#237;drica e ao progn&#243;stico de pacientes com insufici&#234;ncia card&#237;aca aguda.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> No entanto, ainda n&#227;o est&#225; claro se esse escore pode ser considerado uma ferramenta de estratifica&#231;&#227;o de risco em pacientes com CMD idiop&#225;tica. Portanto, o presente estudo foi realizado para investigar a associa&#231;&#227;o do escore ALBI e desfechos adversos na CMD idiop&#225;tica.</p>
    </sec>
    <sec sec-type="methods">
      <title>M&#233;todos</title>
      <sec>
        <title>Desenho do estudo e pacientes</title>
        <p>Trata-se de um estudo de coorte retrospectivo realizado no Hospital Popular da Prov&#237;ncia de Guangdong. Pacientes diagnosticados com CMD idiop&#225;tica foram inclu&#237;dos consecutivamente entre janeiro de 2010 e novembro de 2015. O diagn&#243;stico de CMD estava de acordo com a declara&#231;&#227;o do grupo de trabalho de doen&#231;as mioc&#225;rdicas e peric&#225;rdicas da Sociedade Europeia de Cardiologia.<sup><xref ref-type="bibr" rid="B10">10</xref></sup> Os crit&#233;rios de exclus&#227;o foram os seguintes: 1) idade &lt; 18 anos; 2) presen&#231;a de tumor maligno; 3) gravidez; 4) doen&#231;a autoimune; 5) hist&#243;rico de terapia de sincroniza&#231;&#227;o card&#237;aca ou transplante card&#237;aco; e 6) CMD com etiologia definida, como cardiopatia hipertensiva, doen&#231;a arterial coronariana (&gt; 50% de les&#227;o obstrutiva em um ou mais vasos epic&#225;rdicos), valvopatia, cardiopatia cong&#234;nita, desencadeantes de miocardite, cardiomiopatia alco&#243;lica, cardiomiopatia periparto, cardiomiopatia causada por dist&#250;rbio end&#243;crino, n&#227;o compacta&#231;&#227;o do mioc&#225;rdio ventricular e cardiomiopatia induzida por arritmia. Al&#233;m disso, tamb&#233;m exclu&#237;mos pacientes sem registros de albumina ou bilirrubina s&#233;rica de admiss&#227;o. Foram inclu&#237;dos um total de 1.025 pacientes com CMD idiop&#225;tica. O presente estudo foi aprovado pelo comit&#234; de &#233;tica do Hospital Popular da Prov&#237;ncia de Guangdong, com dispensa de consentimento informado.</p>
      </sec>
      <sec>
        <title>Examina&#231;&#227;o e coleta de dados</title>
        <p>Foram coletadas amostras de sangue venoso para medir as concentra&#231;&#245;es de albumina e bilirrubina pela manh&#227; ap&#243;s pernoite. Os n&#237;veis s&#233;ricos de albumina e bilirrubina foram detectados em um analisador bioqu&#237;mico automatizado (Beckman Coulter AU5821 ou AU5831; Beckman Coulter Inc, Calif&#243;rnia, EUA). O ecocardiograma transtor&#225;cico foi realizado rotineiramente dentro de 24 horas da admiss&#227;o. Foram medidos di&#226;metro do &#225;trio esquerdo (DAE), di&#226;metro diast&#243;lico final do ventr&#237;culo esquerdo (DDFVE), fra&#231;&#227;o de eje&#231;&#227;o do ventr&#237;culo esquerdo (FEVE) e outros &#237;ndices de ecocardiograma de acordo com as recomenda&#231;&#245;es da Sociedade Americana de Ecocardiografia.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
        <p>As vari&#225;veis cl&#237;nicas foram coletadas do prontu&#225;rio eletr&#244;nico por um pesquisador e verificadas aleatoriamente por outro. A taxa de filtra&#231;&#227;o glomerular estimada (TFGe, expressa em mL/min/1,73 m<sup>2</sup>) foi calculada usando a equa&#231;&#227;o Chronic Kidney Disease Epidemiology Collaboration equation.<sup><xref ref-type="bibr" rid="B12">12</xref></sup> O escore ALBI foi calculado usando a f&#243;rmula seguinte: (0,66&#215; log<sub>10</sub> bilirrubina-0,085&#215;albumina).</p>
      </sec>
      <sec>
        <title>Acompanhamento e desfechos</title>
        <p>Todos os pacientes com sobrevida intra-hospitalar foram acompanhados por meio de entrevistas telef&#244;nicas. Tamb&#233;m revisamos os registros de readmiss&#227;o hospitalar e entrevistas ambulatoriais para poss&#237;veis eventos. O desfecho prim&#225;rio foi mortalidade a longo prazo e o desfecho secund&#225;rio compreendeu eventos cl&#237;nicos adversos maiores (ECAM) intra-hospitalares, como morte, acidente vascular cerebral, di&#225;lise e insufici&#234;ncia card&#237;aca aguda durante a hospitaliza&#231;&#227;o.</p>
      </sec>
      <sec>
        <title>An&#225;lise estat&#237;stica</title>
        <p>Os pacientes inclu&#237;dos foram divididos em 3 grupos com base na pontua&#231;&#227;o ALBI: grau 1 (&#8804; &#8722;2,60, n = 113); grau 2 (&#8722;2,60 a &#8722;1,39, n = 835); e grau 3 (&gt; &#8722;1,39, n = 77). A distribui&#231;&#227;o das vari&#225;veis foi avaliada pelo teste de Kolmogorov-Smirnov. As vari&#225;veis cont&#237;nuas com distribui&#231;&#227;o normal s&#227;o apresentadas como m&#233;dia &#177; desvio padr&#227;o e as vari&#225;veis cont&#237;nuas com distribui&#231;&#227;o n&#227;o normal s&#227;o apresentadas como mediana e intervalo interquartil. As vari&#225;veis categ&#243;ricas s&#227;o apresentadas em n&#250;meros e percentuais. As vari&#225;veis cont&#237;nuas foram comparadas usando ANOVA de uma via quando normalmente distribu&#237;das e o teste Kruskal-Wallis H quando n&#227;o normalmente distribu&#237;das. O teste do qui-quadrado foi realizado para as vari&#225;veis categ&#243;ricas. A an&#225;lise da curva caracter&#237;stica de opera&#231;&#227;o do receptor (ROC) foi usada para determinar os n&#237;veis de corte ideais do escore ALBI para predizer eventos adversos. Foram usadas a regress&#227;o log&#237;stica e a an&#225;lise de sobreviv&#234;ncia de Cox para avaliar o efeito do escore ALBI em ECAM intra-hospitalares e mortalidade a longo prazo, respectivamente. Vari&#225;veis significativas na an&#225;lise univariada (exceto os elementos do ALBI) foram inclu&#237;das na an&#225;lise multivariada. Al&#233;m disso, curvas de Kaplan-Meier foram elaboradas e comparadas pelo teste log-rank entre os grupos. Para todas as an&#225;lises, p &lt; 0,05 foi considerado como indicativo de signific&#226;ncia estat&#237;stica. Todas as an&#225;lises foram realizadas no software SPSS (vers&#227;o 16,0; SPSS Inc, Chicago, Illinois, EUA).</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <p>Em total, foram inclu&#237;dos 1.025 pacientes nesta an&#225;lise. As caracter&#237;sticas basais entre os grupos s&#227;o apresentadas na <xref ref-type="table" rid="t1">Tabela 1</xref>. Os pacientes no grupo com grau 3 eram mais propensos a serem masculinos. Al&#233;m disso, pacientes com grau maior de ALBI apresentaram pior fun&#231;&#227;o card&#237;aca, isto &#233;, foi maior a taxa de pacientes com classe funcional da New York Heart Association (NYHA) &gt; II. Foram observadas tend&#234;ncias positivas para creatinina s&#233;rica, alanina transaminase (ALT), bilirrubina total e DAE em rela&#231;&#227;o ao aumento do escore de ALBI. No entanto, observou-se tend&#234;ncia negativa para hemoglobina e albumina s&#233;rica em rela&#231;&#227;o ao aumento do escore ALBI. Diur&#233;ticos (incluindo furosemida e espironolactona) e digoxina foram usados com mais frequ&#234;ncia em pacientes com grau mais alto de ALBI.</p>
      <table-wrap id="t1">
        <label>Tabela 1</label>
        <caption>
          <title>Caracter&#237;sticas basais classificadas por tercil de grau de ALBI</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="19%">
            <col width="1%"/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="left" valign="middle" colspan="2">Vari&#225;veis cl&#237;nicas</th>
              <th align="center" valign="middle">Grau 1 (n=113)</th>
              <th align="center" valign="middle">Grau 2 (n=835)</th>
              <th align="center" valign="middle">Grau 3 (n=77)</th>
              <th align="center" valign="middle">p</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle" colspan="2">
                <bold>Idade (anos)</bold>
              </td>
              <td align="center" valign="middle">52,8&#177;12,5</td>
              <td align="center" valign="middle">55,9&#177;13,6</td>
              <td align="center" valign="middle">52,7&#177;16,2</td>
              <td align="center" valign="middle">0,018</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="6">
                <bold>Sexo</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Masculino, n (%)</td>
              <td align="center" valign="middle">70(61,9)</td>
              <td align="center" valign="middle">609(72,9)</td>
              <td align="center" valign="middle">65(84,4)</td>
              <td align="center" valign="middle" rowspan="2">0,003</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Feminino, n (%)</td>
              <td align="center" valign="middle">43(38,1)</td>
              <td align="center" valign="middle">226(27,1)</td>
              <td align="center" valign="middle">12(15,6)</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">
                <bold>Hipertens&#227;o, n (%)</bold>
              </td>
              <td align="center" valign="middle">31(27,4)</td>
              <td align="center" valign="middle">221(26,5)</td>
              <td align="center" valign="middle">18(23,4)</td>
              <td align="center" valign="middle">0,809</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">
                <bold>Diabetes, n (%)</bold>
              </td>
              <td align="center" valign="middle">15(13,3)</td>
              <td align="center" valign="middle">148(17,7)</td>
              <td align="center" valign="middle">9(11,7)</td>
              <td align="center" valign="middle">0,228</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">
                <bold>Tabagismo, n (%)</bold>
              </td>
              <td align="center" valign="middle">29(25,7)</td>
              <td align="center" valign="middle">233(27,9)</td>
              <td align="center" valign="middle">20(26,0)</td>
              <td align="center" valign="middle">0,840</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">
                <bold>Classe funcional da NYHA&gt;II</bold>
              </td>
              <td align="center" valign="middle">43(38,1)</td>
              <td align="center" valign="middle">445(53,3)</td>
              <td align="center" valign="middle">53(68,8)</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">
                <bold>Hemoglobina (g/L)</bold>
              </td>
              <td align="center" valign="middle">143,3&#177;17,0</td>
              <td align="center" valign="middle">139,4&#177;18,4</td>
              <td align="center" valign="middle">134,0&#177;24,6</td>
              <td align="center" valign="middle">0,004</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">
                <bold>Creatinina s&#233;rica, (umol/L)</bold>
              </td>
              <td align="center" valign="middle">85,0(69,3,102,5)</td>
              <td align="center" valign="middle">94,0(78,5,113,0)</td>
              <td align="center" valign="middle">113,5(90,0,152,0)</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="6">
                <bold>Testes de fun&#231;&#227;o hep&#225;tica</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">ALT (U/L)</td>
              <td align="center" valign="middle">24,5(16,8,34,0)</td>
              <td align="center" valign="middle">29,0(19,0,48,0)</td>
              <td align="center" valign="middle">31,5(20,3,106,8)</td>
              <td align="center" valign="middle">0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Albumina (g/L)</td>
              <td align="center" valign="middle">41,9&#177;2,2</td>
              <td align="center" valign="middle">34,8&#177;3,5</td>
              <td align="center" valign="middle">25,9&#177;3,3</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">
                <bold>Bilirrubina total, (&#956;mol/L)</bold>
              </td>
              <td align="center" valign="middle">15,6(11,4,20,8)</td>
              <td align="center" valign="middle">21,6(15,1,31,2)</td>
              <td align="center" valign="middle">45,7(23,7,78,3)</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="6">
                <bold>Dados ecocardiogr&#225;ficos</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">DAE, (mm)</td>
              <td align="center" valign="middle">41,4&#177;7,0</td>
              <td align="center" valign="middle">44,6&#177;7,2</td>
              <td align="center" valign="middle">46,8&#177;9,5</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">DDFVE, (mm)</td>
              <td align="center" valign="middle">67,1&#177;8,3</td>
              <td align="center" valign="middle">67,0&#177;8,7</td>
              <td align="center" valign="middle">68,0&#177;8,0</td>
              <td align="center" valign="middle">0,604</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">FEVE, (%)</td>
              <td align="center" valign="middle">30,1&#177;7,5</td>
              <td align="center" valign="middle">29,2&#177;7,7</td>
              <td align="center" valign="middle">27,5&#177;8,7</td>
              <td align="center" valign="middle">0,075</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="6">
                <bold>Medicamentos durante a hospitaliza&#231;&#227;o</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">IECA/BRA</td>
              <td align="center" valign="middle">95(84,1)</td>
              <td align="center" valign="middle">708(84,8)</td>
              <td align="center" valign="middle">60(77,9)</td>
              <td align="center" valign="middle">0,286</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Betabloqueadores</td>
              <td align="center" valign="middle">90(79,6)</td>
              <td align="center" valign="middle">658(78,8)</td>
              <td align="center" valign="middle">54(70,1)</td>
              <td align="center" valign="middle">0,196</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Lasix</td>
              <td align="center" valign="middle">90(79,6)</td>
              <td align="center" valign="middle">730(87,4)</td>
              <td align="center" valign="middle">72(93,5)</td>
              <td align="center" valign="middle">0,015</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Aldactone</td>
              <td align="center" valign="middle">89(78,8)</td>
              <td align="center" valign="middle">741(88,7)</td>
              <td align="center" valign="middle">72(93,5)</td>
              <td align="center" valign="middle">0,003</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Digoxina</td>
              <td align="center" valign="middle">48(42,5)</td>
              <td align="center" valign="middle">509(61,0)</td>
              <td align="center" valign="middle">65(84,4)</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">ECAM intra-hospitalares</td>
              <td align="center" valign="middle">3(2,7)</td>
              <td align="center" valign="middle">59(7,1)</td>
              <td align="center" valign="middle">19(24,7)</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN1">
            <p>ALBI: albumina-bilirrubina; ALT: alanina transaminase; BRA: bloqueador do receptor de angiotensina; DAE: di&#226;metro do &#225;trio esquerdo; DDFVE: dimens&#227;o diast&#243;lica final do ventr&#237;culo esquerdo; ECAM: eventos card&#237;acos adversos maiores; FEVE: fra&#231;&#227;o de eje&#231;&#227;o do ventr&#237;culo esquerdo; IECA: inibidores da enzima conversora de angiotensina; NYHA: New York Heart Association.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Durante a interna&#231;&#227;o hospitalar, 15 pacientes (1,5%) foram a &#243;bito; 48 (4,7%) apresentaram insufici&#234;ncia card&#237;aca aguda; 23 (2,2%) necessitaram de di&#225;lise renal e 23 (2,2%) apresentaram acidente vascular cerebral. A taxa de ECAM intra-hospitalar foi significativamente maior em pacientes com grau 3 do que naqueles com graus 1 e 2 (2,7% versus 7,1% versus 24,7%, p &lt; 0,001, <xref ref-type="table" rid="t1">Tabela 1</xref>). Na an&#225;lise de regress&#227;o log&#237;stica univariada, escore ALBI, classe funcional da NYHA &gt; II, anemia, TFGe &lt; 60 mL/min/1,73 = m<sup>2</sup>, lgALT(log<sup><xref ref-type="bibr" rid="B10">10</xref></sup>ALT), bilirrubina total, DAE, DDFVE, FEVE, e uso de betabloqueador foram associados aos ECAM intra-hospitalares (<xref ref-type="table" rid="t2">Tabela 2</xref>). Ap&#243;s ajuste para potenciais fatores de risco, o escore ALBI foi um preditor independente de ECAM intra-hospitalares (<italic>odds ratio</italic> ajustada = 2,80, intervalo de confian&#231;a [IC] de 95%: 1,63 &#8211; 4,80, p &lt; 0,001, <xref ref-type="table" rid="t2">Tabela 2</xref>).</p>
      <table-wrap id="t2">
        <label>Tabela 2</label>
        <caption>
          <title>An&#225;lise de regress&#227;o log&#237;stica univariada e multivariada para para ECAM intra-hospitalares</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="16%">
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="left" valign="middle" rowspan="2">Vari&#225;veis cl&#237;nicas</th>
              <th align="center" valign="middle" colspan="2">An&#225;lise univariada</th>
              <th align="left" valign="middle"/>
              <th align="center" valign="middle">An&#225;lise multivariada</th>
              <th align="left" valign="middle"/>
            </tr>
            <tr>
              <th align="center" valign="middle">OR</th>
              <th align="center" valign="middle">p</th>
              <th align="center" valign="middle">OR</th>
              <th align="center" valign="middle">95% IC</th>
              <th align="center" valign="middle">p</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">Escore ALBI</td>
              <td align="center" valign="middle">4,07</td>
              <td align="center" valign="middle">&lt;0,001</td>
              <td align="center" valign="middle">2,80</td>
              <td align="center" valign="middle">1,63 &#8211; 4,80</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Idade (anos)</td>
              <td align="center" valign="middle">1,01</td>
              <td align="center" valign="middle">0,440</td>
              <td align="left" valign="middle" rowspan="5" colspan="3"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Sexo feminino</td>
              <td align="center" valign="middle">0,92</td>
              <td align="center" valign="middle">0,754</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Hipertens&#227;o</td>
              <td align="center" valign="middle">0,85</td>
              <td align="center" valign="middle">0,540</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Diabetes</td>
              <td align="center" valign="middle">1,24</td>
              <td align="center" valign="middle">0,456</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Tabagismo</td>
              <td align="center" valign="middle">0,85</td>
              <td align="center" valign="middle">0,554</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Classe funcional da NYHA&gt;II</td>
              <td align="center" valign="middle">1,88</td>
              <td align="center" valign="middle">0,010</td>
              <td align="center" valign="middle">1,20</td>
              <td align="center" valign="middle">0,70 &#8211; 2,05</td>
              <td align="center" valign="middle">0,506</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Anemia</td>
              <td align="center" valign="middle">2,16</td>
              <td align="center" valign="middle">0,015</td>
              <td align="center" valign="middle">1,75</td>
              <td align="center" valign="middle">0,88 &#8211; 3,47</td>
              <td align="center" valign="middle">0,112</td>
            </tr>
            <tr>
              <td align="left" valign="middle">TFGe&lt;60mL/min/1,73 m<sup>2</sup></td>
              <td align="center" valign="middle">2,42</td>
              <td align="center" valign="middle">&lt;0,001</td>
              <td align="center" valign="middle">1,70</td>
              <td align="center" valign="middle">1,02 &#8211; 2,83</td>
              <td align="center" valign="middle">0,040</td>
            </tr>
            <tr>
              <td align="left" valign="middle">lgALT</td>
              <td align="center" valign="middle">2,73</td>
              <td align="center" valign="middle">&lt;0,001</td>
              <td align="center" valign="middle">1,77</td>
              <td align="center" valign="middle">1,08 &#8211; 2,92</td>
              <td align="center" valign="middle">0,025</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Hipoproteinemia</td>
              <td align="center" valign="middle">2,48</td>
              <td align="center" valign="middle">&lt;0,001</td>
              <td align="left" valign="middle" rowspan="2" colspan="3"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Bilirrubina total</td>
              <td align="center" valign="middle">1,01</td>
              <td align="center" valign="middle">0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">DAE</td>
              <td align="center" valign="middle">1,03</td>
              <td align="center" valign="middle">0,049</td>
              <td align="center" valign="middle">1,01</td>
              <td align="center" valign="middle">0,97 &#8211; 1,04</td>
              <td align="center" valign="middle">0,680</td>
            </tr>
            <tr>
              <td align="left" valign="middle">DDFVE</td>
              <td align="center" valign="middle">1,04</td>
              <td align="center" valign="middle">0,004</td>
              <td align="center" valign="middle">1,03</td>
              <td align="center" valign="middle">1,00 &#8211; 1,06</td>
              <td align="center" valign="middle">0,085</td>
            </tr>
            <tr>
              <td align="left" valign="middle">FEVE</td>
              <td align="center" valign="middle">0,95</td>
              <td align="center" valign="middle">0,001</td>
              <td align="center" valign="middle">0,97</td>
              <td align="center" valign="middle">0,94 &#8211; 1,01</td>
              <td align="center" valign="middle">0,152</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de IECA/BRA</td>
              <td align="center" valign="middle">0,74</td>
              <td align="center" valign="middle">0,312</td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de betabloqueador</td>
              <td align="center" valign="middle">0,41</td>
              <td align="center" valign="middle">&lt;0,001</td>
              <td align="center" valign="middle">0,47</td>
              <td align="center" valign="middle">0,28 &#8211; 0,79</td>
              <td align="center" valign="middle">0,004</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de lasix</td>
              <td align="center" valign="middle">1,21</td>
              <td align="center" valign="middle">0,603</td>
              <td align="left" valign="middle" rowspan="3" colspan="3"/>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de aldactone</td>
              <td align="center" valign="middle">0,97</td>
              <td align="center" valign="middle">0,921</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de digoxina</td>
              <td align="center" valign="middle">1,59</td>
              <td align="center" valign="middle">0,065</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN2">
            <p>ALBI: albumina-bilirrubina; ALT: alanina transaminase; BRA: bloqueador do receptor de angiotensina; BT: bilirrubina total; DAE: di&#226;metro do &#225;trio esquerdo; DB: direct bilirubin; DDFVE: dimens&#227;o diast&#243;lica final do ventr&#237;culo esquerdo; FEVE: fra&#231;&#227;o de eje&#231;&#227;o do ventr&#237;culo esquerdo; IC: intervalo de confian&#231;a; IECA: inibidores da enzima conversora de angiotensina; NYHA: New York Heart Association; OR: odds ratio; TFGe: taxa de filtra&#231;&#227;o glomerular estimada.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Ap&#243;s seguimento mediano de 27 meses, 146 (14,2%) pacientes foram a &#243;bito. A curva de Kaplan-Meier indicou que a taxa cumulativa de sobrevida a longo prazo foi significativamente menor em pacientes com grau mais alto de ALBI (teste log-rank = 45,50, p &lt; 0,001, <xref ref-type="fig" rid="f1">Figura 1</xref>). O modelo de risco proporcional univariado de Cox de mortalidade a longo prazo &#233; mostrado na <xref ref-type="table" rid="t3">Tabela 3</xref>. O escore ALBI foi associado com risco aumentado de morte a longo prazo (<italic>hazard ratio</italic> n&#227;o ajustada = 3,16, IC 95%: 2,31 &#8211; 4,33, p &lt; 0,001). Outras vari&#225;veis significativas inclu&#237;ram idade, classe funcional da NYHA, anemia, TFGe &lt; 60 mL/min/1,73 m<sup>2</sup>, lgALT, hipoproteinemia, bilirrubina total, DAE, DDFVE, FEVE, e uso de betabloqueador e digoxina. Esses fatores de risco significativos, exceto os componentes do escore ALBI, foram inclu&#237;dos no modelo multivariado de sobreviv&#234;ncia de Cox, que revelou que o escore ALBI permaneceu um preditor independente para mortalidade a longo prazo (<italic>hazard ratio</italic> ajustada = 2,84, IC 95%: 1,95 &#8211; 4,13, p &lt; 0,001, <xref ref-type="table" rid="t4">Tabela 4</xref>). Al&#233;m disso, o escore ALBI foi inclu&#237;do neste modelo como uma vari&#225;vel categ&#243;rica e n&#227;o cont&#237;nua. O resultado mostrou que, em compara&#231;&#227;o com grau 1 de ALBI, a <italic>hazard ratio</italic> ajustada foi de 5,69 (IC 95%: 1,40 &#8211; 23,18, p = 0,015, <xref ref-type="table" rid="t4">Tabela 4</xref>) e 16,79 (IC 95%: 3,91 &#8211; 72,04, p &lt; 0,001, <xref ref-type="table" rid="t4">Tabela 4</xref>) para grau 2 e 3, respectivamente.</p>
      <fig id="f1">
        <label>Figura 1</label>
        <caption>
          <title>Curva Kaplan&#8211;Meier de sobrevida geral.</title>
        </caption>
        <graphic xlink:href="1678-4170-abc-118-06-1108-10035-gf01.tif"/></fig>
      <table-wrap id="t3">
        <label>Tabela 3</label>
        <caption>
          <title>Risco proporcional univariado de Cox de mortalidade a longo prazo</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="25%">
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="left" valign="middle">Vari&#225;veis cl&#237;nicas</th>
              <th align="center" valign="middle">HR</th>
              <th align="center" valign="middle">IC 95%</th>
              <th align="center" valign="middle">p</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">Escore ALBI</td>
              <td align="center" valign="middle">3,16</td>
              <td align="center" valign="middle">2,31 &#8211; 4,33</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Idade (anos)</td>
              <td align="center" valign="middle">1,03</td>
              <td align="center" valign="middle">1,02 &#8211; 1,04</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Sexo feminino</td>
              <td align="center" valign="middle">0,96</td>
              <td align="center" valign="middle">0,67 &#8211; 1,39</td>
              <td align="center" valign="middle">0,845</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Hipertens&#227;o</td>
              <td align="center" valign="middle">0,99</td>
              <td align="center" valign="middle">0,69 &#8211; 1,44</td>
              <td align="center" valign="middle">0,975</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Diabetes</td>
              <td align="center" valign="middle">0,96</td>
              <td align="center" valign="middle">0,62 &#8211; 1,49</td>
              <td align="center" valign="middle">0,854</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Tabagismo</td>
              <td align="center" valign="middle">1,03</td>
              <td align="center" valign="middle">0,72 &#8211; 1,49</td>
              <td align="center" valign="middle">0,859</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Classe funcional da NYHA&gt;II</td>
              <td align="center" valign="middle">1,81</td>
              <td align="center" valign="middle">1,28 &#8211; 2,54</td>
              <td align="center" valign="middle">0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Anemia</td>
              <td align="center" valign="middle">1,97</td>
              <td align="center" valign="middle">1,25 &#8211; 3,10</td>
              <td align="center" valign="middle">0,003</td>
            </tr>
            <tr>
              <td align="left" valign="middle">TFGe&lt;60mL/min/1,73 m<sup>2</sup></td>
              <td align="center" valign="middle">2,09</td>
              <td align="center" valign="middle">1,51 &#8211; 2,91</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">lgALT</td>
              <td align="center" valign="middle">1,78</td>
              <td align="center" valign="middle">1,21 &#8211; 2,62</td>
              <td align="center" valign="middle">0,004</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Hipoproteinemia</td>
              <td align="center" valign="middle">2,46</td>
              <td align="center" valign="middle">1,73 &#8211; 3,48</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Bilirrubina total</td>
              <td align="center" valign="middle">1,01</td>
              <td align="center" valign="middle">1,00 &#8211; 1,01</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">DAE</td>
              <td align="center" valign="middle">1,03</td>
              <td align="center" valign="middle">1,01 &#8211; 1,05</td>
              <td align="center" valign="middle">0,016</td>
            </tr>
            <tr>
              <td align="left" valign="middle">DDFVE</td>
              <td align="center" valign="middle">1,04</td>
              <td align="center" valign="middle">1,03 &#8211; 1,06</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">FEVE</td>
              <td align="center" valign="middle">0,96</td>
              <td align="center" valign="middle">0,94 &#8211; 0,98</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de IECA/BRA</td>
              <td align="center" valign="middle">0,93</td>
              <td align="center" valign="middle">0,60 &#8211; 1,44</td>
              <td align="center" valign="middle">0,733</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de betabloqueador</td>
              <td align="center" valign="middle">0,53</td>
              <td align="center" valign="middle">0,37 &#8211; 0,75</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de lasix</td>
              <td align="center" valign="middle">1,08</td>
              <td align="center" valign="middle">0,67 &#8211; 1,76</td>
              <td align="center" valign="middle">0,742</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de aldactone</td>
              <td align="center" valign="middle">1,43</td>
              <td align="center" valign="middle">0,83 &#8211; 2,48</td>
              <td align="center" valign="middle">0,202</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Uso de digoxina</td>
              <td align="center" valign="middle">1,55</td>
              <td align="center" valign="middle">1,09 &#8211; 2,20</td>
              <td align="center" valign="middle">0,016</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN3">
            <p>ALBI: albumina-bilirrubina; ALT: alanina transaminase; BRA: bloqueador do receptor de angiotensina; DAE: di&#226;metro do &#225;trio esquerdo; DDFVE: dimens&#227;o diast&#243;lica final do ventr&#237;culo esquerdo; FEVE: fra&#231;&#227;o de eje&#231;&#227;o do ventr&#237;culo esquerdo; HR: hazard ratio; IC: intervalo de confian&#231;a; IECA: inibidores da enzima conversora de angiotensina; NYHA: New York Heart Association; TFGe: taxa de filtra&#231;&#227;o glomerular estimada.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap id="t4">
        <label>Tabela 4</label>
        <caption>
          <title>Risco proporcional multivariado de Cox de mortalidade a longo prazo</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="24%">
            <col width="1%"/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr>
              <th align="left" valign="middle" colspan="2">Vari&#225;veis cl&#237;nicas</th>
              <th align="center" valign="middle">HR</th>
              <th align="center" valign="middle">IC 95%</th>
              <th align="center" valign="middle">p</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle" colspan="5">
                <bold>Modelo 1</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">ALBI</td>
              <td align="center" valign="middle">2,84</td>
              <td align="center" valign="middle">1,95 &#8211; 4,13</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Idade (anos)</td>
              <td align="center" valign="middle">1,03</td>
              <td align="center" valign="middle">1,02 &#8211; 1,05</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Classe funcional da NYHA&gt;II</td>
              <td align="center" valign="middle">1,25</td>
              <td align="center" valign="middle">0,86 &#8211; 1,82</td>
              <td align="center" valign="middle">0,236</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Anemia</td>
              <td align="center" valign="middle">1,25</td>
              <td align="center" valign="middle">0,76 &#8211; 2,06</td>
              <td align="center" valign="middle">0,382</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">TFGe&lt;60mL/min/1,73 m<sup>2</sup></td>
              <td align="center" valign="middle">1,30</td>
              <td align="center" valign="middle">0,91 &#8211; 1,85</td>
              <td align="center" valign="middle">0,156</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">lgALT</td>
              <td align="center" valign="middle">1,46</td>
              <td align="center" valign="middle">1,00 &#8211; 2,14</td>
              <td align="center" valign="middle">0,050</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">DAE</td>
              <td align="center" valign="middle">1,00</td>
              <td align="center" valign="middle">0,98 &#8211; 1,03</td>
              <td align="center" valign="middle">0,898</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">DDFVE</td>
              <td align="center" valign="middle">1,04</td>
              <td align="center" valign="middle">1,02 &#8211; 1,06</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">FEVE</td>
              <td align="center" valign="middle">0,99</td>
              <td align="center" valign="middle">0,97 &#8211; 1,01</td>
              <td align="center" valign="middle">0,348</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Uso de betabloqueador</td>
              <td align="center" valign="middle">0,65</td>
              <td align="center" valign="middle">0,45 &#8211; 0,95</td>
              <td align="center" valign="middle">0,024</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Uso de digoxina</td>
              <td align="center" valign="middle">1,05</td>
              <td align="center" valign="middle">0,72 &#8211; 1,54</td>
              <td align="center" valign="middle">0,804</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="5">
                <bold>Modelo 2</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">ALBI</td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Grau 1</td>
              <td align="center" valign="middle">-</td>
              <td align="center" valign="middle">-</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Grau 2</td>
              <td align="center" valign="middle">5,69</td>
              <td align="center" valign="middle">1,40 &#8211; 23,18</td>
              <td align="center" valign="middle">0,015</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Grau 3</td>
              <td align="center" valign="middle">16,79</td>
              <td align="center" valign="middle">3,91 &#8211; 72,04</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Idade (anos)</td>
              <td align="center" valign="middle">1,03</td>
              <td align="center" valign="middle">1,02 &#8211; 1,05</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Classe funcional da NYHA&gt;II</td>
              <td align="center" valign="middle">1,24</td>
              <td align="center" valign="middle">0,85 &#8211; 1,81</td>
              <td align="center" valign="middle">0,262</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Anemia</td>
              <td align="center" valign="middle">1,37</td>
              <td align="center" valign="middle">0,84 &#8211; 2,24</td>
              <td align="center" valign="middle">0,205</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">TFGe&lt;60mL/min/1,73 m<sup>2</sup></td>
              <td align="center" valign="middle">1,29</td>
              <td align="center" valign="middle">0,90 &#8211; 1,84</td>
              <td align="center" valign="middle">0,168</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">lgALT</td>
              <td align="center" valign="middle">1,57</td>
              <td align="center" valign="middle">1,08 &#8211; 2,28</td>
              <td align="center" valign="middle">0,019</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">DAE</td>
              <td align="center" valign="middle">1,00</td>
              <td align="center" valign="middle">0,98 &#8211; 1,03</td>
              <td align="center" valign="middle">0,758</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">DDFVE</td>
              <td align="center" valign="middle">1,04</td>
              <td align="center" valign="middle">1,02 &#8211; 1,07</td>
              <td align="center" valign="middle">&lt;0,001</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">FEVE</td>
              <td align="center" valign="middle">0,98</td>
              <td align="center" valign="middle">0,96 &#8211; 1,01</td>
              <td align="center" valign="middle">0,180</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Uso de betabloqueador</td>
              <td align="center" valign="middle">0,59</td>
              <td align="center" valign="middle">0,41 &#8211; 0,85</td>
              <td align="center" valign="middle">0,005</td>
            </tr>
            <tr>
              <td align="left" valign="middle" colspan="2">Uso de digoxina</td>
              <td align="center" valign="middle">1,08</td>
              <td align="center" valign="middle">0,74 &#8211; 1,58</td>
              <td align="center" valign="middle">0,702</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN4">
            <p>ALBI: albumina-bilirrubina; ALT: alanina transaminase; DAE: di&#226;metro do &#225;trio esquerdo; DDFVE: dimens&#227;o diast&#243;lica final do ventr&#237;culo esquerdo; FEVE: fra&#231;&#227;o de eje&#231;&#227;o do ventr&#237;culo esquerdo; HR: hazard ratio; IC: intervalo de confian&#231;a; NYHA: New York Heart Association; TFGe: taxa de filtra&#231;&#227;o</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>A an&#225;lise da curva ROC indicou que a &#225;rea sob a curva do escore ALBI, albumina s&#233;rica e bilirrubina total para predizer a morte a longo prazo foi de 0,684 (IC 95%: 0,654 &#8211; 0,714, <xref ref-type="fig" rid="f2">Figura 2</xref>), 0,662 (IC 95%: 0,631 &#8211; 0,692, <xref ref-type="fig" rid="f2">Figura 2</xref>) e 0,588 (IC 95%: 0,556 &#8211; 0,619, <xref ref-type="fig" rid="f2">Figura 2</xref>), respectivamente. O escore ALBI demonstrou capacidade preditiva relativamente superior para morte a longo prazo do que a albumina s&#233;rica (0,684 versus 0,662, p = 0,026, <xref ref-type="fig" rid="f2">Figura 2</xref>) e bilirrubina total (0,684 versus 0,588, p = 0,002, <xref ref-type="fig" rid="f2">Figura 2</xref>).</p>
      <fig id="f2">
        <label>Figura 2</label>
        <caption>
          <title>An&#225;lise ROC de mortalidade a longo prazo.</title>
        </caption>
        <graphic xlink:href="1678-4170-abc-118-06-1108-10035-gf02.tif"/></fig>
    </sec>
    <sec sec-type="discussion">
      <title>Discuss&#227;o</title>
      <p>At&#233; onde sabemos, este &#233; o primeiro estudo a avaliar o papel progn&#243;stico do escore ALBI em pacientes com CMD idiop&#225;tica. Os resultados mostraram que o escore ALBI foi um fator de risco independente para ECAM intra-hospitalares e mortalidade a longo prazo. Al&#233;m disso, o escore ALBI apresentou melhor capacidade preditiva para morte a longo prazo do que a albumina s&#233;rica e a bilirrubina total. O escore ALBI pode ser facilmente medido e seria &#250;til na identifica&#231;&#227;o de pacientes com CMD idiop&#225;tica que apresentam alto risco de desfechos desfavor&#225;veis.</p>
      <p>A CMD &#233; caracterizada por remodela&#231;&#227;o ventricular que pode evoluir gradualmente para insufici&#234;ncia card&#237;aca esquerda e at&#233; insufici&#234;ncia card&#237;aca global.<sup><xref ref-type="bibr" rid="B13">13</xref>,<xref ref-type="bibr" rid="B14">14</xref></sup> Al&#233;m disso, a disfun&#231;&#227;o ventricular direita &#233; prevalente em pacientes com CMD,<sup><xref ref-type="bibr" rid="B15">15</xref></sup> e tem demonstrado influenciar o curso e o progn&#243;stico da CMD.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> A progress&#227;o da disfun&#231;&#227;o ventricular direita pode levar &#224; congest&#227;o sist&#234;mica, resultando em congest&#227;o sinusoidal e edema perissinusoidal, que prejudicam o fornecimento de oxig&#234;nio e nutrientes aos hepat&#243;citos.<sup><xref ref-type="bibr" rid="B17">17</xref>-<xref ref-type="bibr" rid="B19">19</xref></sup> Al&#233;m disso, o d&#233;bito card&#237;aco diminu&#237;do e a perfus&#227;o hep&#225;tica inadequada podem desencadear les&#227;o hip&#243;xica. Essa les&#227;o dos hepat&#243;citos pode se manifestar como albumina s&#233;rica diminu&#237;da e bilirrubina elevada.</p>
      <p>A albumina, que reflete a fun&#231;&#227;o sint&#233;tica do f&#237;gado, tem m&#250;ltiplos pap&#233;is fisiol&#243;gicos, como contrabalan&#231;ar a press&#227;o hidrost&#225;tica, fun&#231;&#245;es antioxidantes e anti-inflamat&#243;rias e transportar mol&#233;culas e drogas.<sup><xref ref-type="bibr" rid="B20">20</xref></sup> Verificamos que a hipoalbuminemia estava relacionada a resultados adversos em pacientes com CMD idiop&#225;tica. Isso pode ser explicado por v&#225;rias teorias. Em primeiro lugar, al&#233;m de ser um marcador de les&#227;o hep&#225;tica, a hipoalbuminemia est&#225; frequentemente associada &#224; disfun&#231;&#227;o renal.<sup><xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref></sup> A albumina &#233; restringida pela barreira glomerular normal, e a albumina filtrada pode ser reabsorvida pelas c&#233;lulas tubulares proximais.<sup><xref ref-type="bibr" rid="B22">22</xref></sup> No entanto, o aumento da secre&#231;&#227;o urin&#225;ria de prote&#237;na pode ser encontrada na insufici&#234;ncia renal, que resulta em hipoalbuminemia. Portanto, a hipoalbuminemia pode refletir a disfun&#231;&#227;o renal concomitante e pressagiar desfechos desfavor&#225;veis. Em segundo lugar, a hipoalbuminemia resulta em press&#227;o osm&#243;tica s&#233;rica mais baixa e pode exacerbar o edema pulmonar e o derrame pleural, precipitando insufici&#234;ncia card&#237;aca refrat&#225;ria em pacientes com CMD.<sup><xref ref-type="bibr" rid="B21">21</xref></sup> Em terceiro lugar, tem sido demonstrado que os n&#237;veis s&#233;ricos de albumina e pr&#233;-albumina refletem o estado nutricional.<sup><xref ref-type="bibr" rid="B23">23</xref>,<xref ref-type="bibr" rid="B24">24</xref></sup> A m&#225;-nutri&#231;&#227;o &#224;s vezes pode evoluir para caquexia card&#237;aca, que &#233; caracterizada por desnutri&#231;&#227;o prot&#233;ico-cal&#243;rica com perda muscular e edema perif&#233;rico, levando a pior qualidade de vida e aumento da mortalidade.<sup><xref ref-type="bibr" rid="B24">24</xref></sup></p>
      <p>De forma semelhante, em pacientes com CMD avan&#231;ada, v&#225;rios processos metab&#243;licos da bilirrubina no f&#237;gado, incluindo capta&#231;&#227;o, conjuga&#231;&#227;o e secre&#231;&#227;o, s&#227;o atenuados pela hip&#243;xia e a congest&#227;o hepatocelular, levando a um aumento maior da bilirrubina s&#233;rica total. Embora a bilirrubina tenha propriedades antioxidantes e anti-inflamat&#243;rias, n&#237;veis extremamente elevados de bilirrubina representam comprometimento hemodin&#226;mico causado por disfun&#231;&#227;o ventricular direita, que tem um efeito progn&#243;stico adverso em pacientes com CMD.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> Al&#233;m disso, a hiperbilirrubinemia reflete um estado card&#237;aco adverso latente na insufici&#234;ncia card&#237;aca cr&#244;nica.<sup><xref ref-type="bibr" rid="B25">25</xref></sup> Lang et al. indicaram que a bilirrubina tem efeitos adversos nos eritr&#243;citos, induzindo eriptose. O dano excessivo aos eritr&#243;citos leva &#224; anemia grave e afeta ainda mais o progn&#243;stico.<sup><xref ref-type="bibr" rid="B26">26</xref></sup> Essas evid&#234;ncias corroboram o nosso achado de que a hiperbilirrubinemia &#233; um fator de risco para pacientes com CMD idiop&#225;tica.</p>
      <p>Tanto a hipoalbuminemia quanto a hiperbilirrubinemia foram fatores de risco para o progn&#243;stico adverso em pacientes com CMD idiop&#225;tica. O escore ALBI, combinando esses dois efeitos, tem sido amplamente testado como um m&#233;todo objetivo, simples e diferenciador para avaliar a fun&#231;&#227;o hep&#225;tica.<sup><xref ref-type="bibr" rid="B27">27</xref></sup> At&#233; onde sabemos, nenhum estudo tem avaliado o valor progn&#243;stico do escore ALBI em pacientes com CMD. O presente estudo demonstrou que o escore ALBI foi independentemente associado a desfechos adversos intra-hospitalares e de longo prazo. O escore ALBI consiste em apenas duas vari&#225;veis e &#233; uma ferramenta simples de estratifica&#231;&#227;o de risco em pacientes com CMD idiop&#225;tica. Com base no presente estudo, a aplica&#231;&#227;o cl&#237;nica do escore ALBI pode ser estendida de doen&#231;as hep&#225;ticas para a CMD idiop&#225;tica.</p>
      <sec>
        <title>Limita&#231;&#245;es</title>
        <p>Nosso estudo tem algumas limita&#231;&#245;es. Em primeiro lugar, este foi um estudo de coorte retrospectivo; portanto, alguns n&#237;veis de bilirrubina e albumina de admiss&#227;o estavam ausentes, o que pode afetar os resultados. Em segundo lugar, a bilirrubina e a albumina n&#227;o foram detectadas dinamicamente. A rela&#231;&#227;o entre o progn&#243;stico e o escore ALBI em diferentes momentos &#233; desconhecida. Finalmente, como a nossa popula&#231;&#227;o de estudo inclu&#237;da n&#227;o representava pacientes com CMD idiop&#225;tica em contextos diversos, por exemplo, em pa&#237;ses ocidentais, os resultados do estudo devem ser validados em diferentes coortes com CMD idiop&#225;tica.</p>
      </sec>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclus&#245;es</title>
      <p>O presente estudo demonstrou que o escore ALBI foi independentemente associado ao aumento do risco de ECAM intra-hospitalares e mortalidade a longo prazo em pacientes com CMD idiop&#225;tica. Al&#233;m disso, comparado &#224; bilirrubina e &#224; albumina, o escore ALBI apresentou capacidade preditiva relativamente superior para mortalidade a longo prazo, que pode identificar mais pacientes com alto risco de desfechos desfavor&#225;veis.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="financial-disclosure" id="fn2">
        <p>
          <bold>Fontes de financiamento</bold>
        </p>
        <p>O presente estudo foi financiado por Medical Science and Technology Research Founding of Guangdong (A2019409).</p>
      </fn>
      <fn fn-type="other" id="fn3">
        <p>
          <bold>Vincula&#231;&#227;o acad&#234;mica</bold>
        </p>
        <p>N&#227;o h&#225; vincula&#231;&#227;o deste estudo a programas de p&#243;s-gradua&#231;&#227;o.</p>
      </fn>
    </fn-group>
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  <sub-article article-type="translation" id="S01" xml:lang="en">
    <front-stub>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Albumin-Bilirubin Score to Predict Outcomes in Patients with Idiopathic Dilated Cardiomyopathy</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8228-0274</contrib-id>
          <name>
            <surname>Jiang</surname>
            <given-names>Mei</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff5">
            <sup>2</sup>
          </xref>
          <xref ref-type="fn" rid="fn4">
            <sup>*</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-1279-9441</contrib-id>
          <name>
            <surname>Wei</surname>
            <given-names>Xue-biao</given-names>
          </name>
          <xref ref-type="aff" rid="aff6">
            <sup>3</sup>
          </xref>
          <xref ref-type="fn" rid="fn4">
            <sup>*</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Huang</surname>
            <given-names>Jie-leng</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-3168-687X</contrib-id>
          <name>
            <surname>Su</surname>
            <given-names>Ze-da-zhong</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lin</surname>
            <given-names>Ying-wen</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-1017-8326</contrib-id>
          <name>
            <surname>Yu</surname>
            <given-names>Dan-qing</given-names>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff5">
            <sup>2</sup>
          </xref>
          <xref ref-type="corresp" rid="c2"/>
        </contrib>
        <aff id="aff4">
          <label>1</label>
          <addr-line>
            <named-content content-type="city">Guangzhou</named-content>
            <named-content content-type="state">Guangdong</named-content>
          </addr-line>
          <country country="CN">China</country>
          <institution content-type="original">The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong &#8211; China</institution>
        </aff>
        <aff id="aff5">
          <label>2</label>
          <addr-line>
            <named-content content-type="city">Guangzhou</named-content>
            <named-content content-type="state">Guangdong</named-content>
          </addr-line>
          <country country="CN">China</country>
          <institution content-type="original">Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong &#8211; China</institution>
        </aff>
        <aff id="aff6">
          <label>3</label>
          <addr-line>
            <named-content content-type="city">Guangzhou</named-content>
            <named-content content-type="state">Guangdong</named-content>
          </addr-line>
          <country country="CN">China</country>
          <institution content-type="original">Department of Geriatric Intensive Medicine, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong &#8211; China</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c2"><bold>Mailing Address: Dan-qing Yu</bold> &#8226; Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou <postal-code>510080</postal-code> &#8211; China. E-mail: <email>gdydq100@126.com</email></corresp>
        <fn fn-type="equal" id="fn4">
          <label>*</label>
          <p>The authors contributed equally to this article</p>
        </fn>
        <fn fn-type="con">
          <p>
            <bold>Author Contributions</bold>
          </p>
          <p>Conception and design of the research: Mei J, Xue-biao W, Danqing Y; Acquisition of data, Analysis and interpretation of the data and Statistical analysis: Mei J, Xue-biao W, Jie-leng H, Zedazhong S, Ying-wen L; Writing of the manuscript: Mei J, Xue-biao W; Critical revision of the manuscript for intellectual content: Danqing Y.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potential Conflict of Interest</bold>
          </p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background:</title>
          <p>Liver dysfunction is a postulated variable for poor prognosis in dilated cardiomyopathy (DCM).</p>
        </sec>
        <sec>
          <title>Objective:</title>
          <p>This study aimed to investigate the prognostic value of the albumin-bilirubin (ALBI) score, a relatively new model for evaluating liver function, in patients with idiopathic DCM.</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>A total of 1025 patients with idiopathic DCM were retrospectively included and divided into three groups based on ALBI scores: grade 1 (&#8804; &#8722;2.60, n = 113), grade 2 (&#8722;2.60 to &#8722;1.39, n = 835), and grade 3 (&gt; &#8722;1.39, n = 77). The association of ALBI score with in-hospital major adverse clinical events (MACEs) and long-term mortality was analyzed. P-value less than 0.05 was considered statistically significant.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>The in-hospital MACEs rate was significantly higher in the grade 3 patients (2.7% versus 7.1% versus 24.7%, p &lt; 0.001). Multivariate analysis showed that ALBI score was an independent predictor for in-hospital MACEs (adjusted odds ratio = 2.80, 95%CI: 1.63 &#8211; 4.80, p &lt; 0.001). After a median 27-month follow-up, 146 (14.2%) patients died. The Kaplan&#8211;Meier curve indicated that the cumulative rate of long-term survival was significantly lower in patients with higher ALBI grade (log-rank = 45.50, p &lt; 0.001). ALBI score was independently associated with long-term mortality (adjusted hazard ratio = 2.84, 95%CI: 1.95 &#8211; 4.13, p &lt; 0.001).</p>
        </sec>
        <sec>
          <title>Conclusion:</title>
          <p>ALBI score as a simple risk model could be considered a risk-stratifying tool for patients with idiopathic DCM.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Dilated Cardiomyopathy</kwd>
        <kwd>Heart Failure</kwd>
        <kwd>Prognosis</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source>Medical Science and Technology Research Founding of Guangdong</funding-source>
          <award-id>A2019409</award-id>
        </award-group>
        <funding-statement>This study was funded by Medical Science and Technology Research Founding of Guangdong (A2019409).</funding-statement>
      </funding-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>Dilated cardiomyopathy (DCM), one of the leading causes of heart failure, is characterized by ventricular dilation and systolic dysfunction.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> About 50% of the cases have an unknown cause, which is termed as idiopathic DCM.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> Epidemiological data have indicated that the one-year mortality of DCM is 25% to 30%, which continuously increased at 5 years.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> Therefore, continued risk assessment is essential to identify patients at high risk of death and establish optimal treatment strategies to improve prognosis.</p>
        <p>Liver injury is common in patients with heart failure owing to impaired perfusion and systemic congestion due to hemodynamic changes.<sup><xref ref-type="bibr" rid="B4">4</xref></sup> Hepatic dysfunction has been identified as one of the risk factors for poor outcomes in patients with DCM.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> The albumin-bilirubin (ALBI) score is a simple and objective method to assess liver function. In previous studies, ALBI score has been widely used in patients with liver diseases, including hepatocellular carcinoma, liver cirrhosis, and liver failure.<sup><xref ref-type="bibr" rid="B6">6</xref>-<xref ref-type="bibr" rid="B8">8</xref></sup> In addition, Matsue et al indicated that the ALBI score is associated with fluid overload and the prognosis of patients with acute heart failure.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> However, it is yet unclear whether this score can be considered a risk-stratifying tool in patients with idiopathic DCM. Hence, this study was conducted to investigate the association of the ALBI score and adverse outcomes in idiopathic DCM.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <sec>
          <title>Study design and patients</title>
          <p>This was a retrospective cohort study conducted at Guangdong Provincial People's Hospital. Patients diagnosed with idiopathic DCM were consecutively enrolled between January 2010 and November 2015. The diagnosis of DCM was in agreement with the statement of the European Society of Cardiology working group on myocardial and pericardial diseases.<sup><xref ref-type="bibr" rid="B10">10</xref></sup> The exclusion criteria were as follows: 1) age &lt; 18 years; 2) presence of malignant tumor; 3) pregnancy; 4) autoimmune disease; 5) previous cardiac synchronization therapy or heart transplantation; and 6) DCM with definite etiology such as hypertensive heart disease, coronary artery disease (&gt; 50% obstructive lesion in one or more epicardial vessels), valvular heart disease, congenital heart disease, myocarditis triggers, alcoholic cardiomyopathy, peripartum cardiomyopathy, cardiomyopathy caused by endocrine disorder, noncompaction of the ventricular myocardium, and arrhythmia-induced cardiomyopathy. Furthermore, we also excluded patients without admission serum albumin or bilirubin records. A total of 1025 idiopathic DCM patients were enrolled. The present study was approved by the ethics committee of Guangdong Provincial People's Hospital, with a waiver of informed consent.</p>
        </sec>
        <sec>
          <title>Examination and data collection</title>
          <p>Venous blood samples were collected for measurement of albumin and bilirubin concentrations in the morning after an overnight stay. Serum albumin and bilirubin levels were detected on an automated biochemical analyzer (Beckman Coulter AU5821 or AU5831; Beckman Coulter Inc, CA, USA). Transthoracic echocardiography was routinely performed within 24 hours of admission. Left atrial diameter (LAD), left ventricular end diastolic diameter (LVEDD), left ventricular ejection fraction (LVEF), and other echocardiogram indices were measured according to the recommendations of the American Society of Echocardiography.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
          <p>Clinical variables were collected from the electronic case report form by one researcher and randomly checked by another. Estimated glomerular filtration rate (eGFR, expressed in mL/min/1.73 m<sup>2</sup>) was calculated using the Chronic Kidney Disease Epidemiology Collaboration equation.<sup><xref ref-type="bibr" rid="B12">12</xref></sup> The ALBI score was calculated using the following formula: 0.66&#215; log<sub>10</sub> bilirubin-0.085&#215;albumin.<sup><xref ref-type="bibr" rid="B6">6</xref></sup></p>
        </sec>
        <sec>
          <title>Follow-up and outcomes</title>
          <p>All in-hospital survival patients were followed up through telephone interviews. We also reviewed hospital readmission records and outpatient clinic interviews for possible events. The primary outcome was long-term mortality, and the secondary outcome was in-hospital major adverse clinical events (MACEs) such as death, stroke, dialysis, and acute heart failure during hospitalization.</p>
        </sec>
        <sec>
          <title>Statistical analysis</title>
          <p>Included patients were divided into three groups based on ALBI score: grade 1 (&#8804; &#8722;2.60, n = 113); grade 2 (&#8722;2.60 to &#8722;1.39, n = 835); and grade 3 (&gt; &#8722;1.39, n = 77). The distribution of variables was assessed by the Kolmogorov-Smirnov test. Normally distributed continuous variables are presented as mean &#177; standard deviation, and non-normally distributed continuous variables are presented as median and interquartile range. Categorical variables are presented as numbers and percentage. Continuous variables were compared using one-way ANOVA when normally distributed or the Kruskal-Wallis H test when not normally distributed. The chi-square test was performed for categorical variables. Receiver operating characteristic (ROC) curve analysis was used to determine the optimum cut-off levels of ALBI score for predicting adverse events. Logistic regression and Cox survival analysis were used to assess the effect of ALBI score on in-hospital MACEs and long-term mortality, respectively. Significant variables in univariate analysis (except the elements of ALBI) were included into the multivariate analysis. In addition, Kaplan&#8211;Meier curves were drawn and compared using the log-rank test among groups. For all analyses, p &lt; 0.05 was considered to indicate statistical significance. All analyses were conducted using SPSS software (version 16.0; SPSS Inc, Chicago, IL, USA).</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>In all, 1025 patients were included in this analysis. Baseline characteristics among the groups are displayed in <xref ref-type="table" rid="t5">Table 1</xref>. Patients in the grade 3 group were more likely to be male. In addition, patients with higher ALBI grade had worse cardiac function; namely, the rate of patients with New York Heart Association (NYHA) functional class &gt; II was higher. Positive trends were observed for serum creatinine, alanine transaminase (ALT), total bilirubin, and LAD in relation to increasing ALBI score. However, a negative trend was observed for hemoglobin and serum albumin in relation to increasing ALBI score. Diuretics (including furosemide and spironolactone) and digoxin were more frequently used in patients with higher ALBI grade.</p>
        <table-wrap id="t5">
          <label>Table 1</label>
          <caption>
            <title>Baseline characteristics classified by tertile of ALBI grade</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="19%">
              <col width="1%"/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle" colspan="2">Clinical variables</th>
                <th align="center" valign="middle">Grade 1 (n=113)</th>
                <th align="center" valign="middle">Grade 2 (n=835)</th>
                <th align="center" valign="middle">Grade 3 (n=77)</th>
                <th align="center" valign="middle">p</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Age (years)</bold>
                </td>
                <td align="center" valign="middle">52.8&#177;12.5</td>
                <td align="center" valign="middle">55.9&#177;13.6</td>
                <td align="center" valign="middle">52.7&#177;16.2</td>
                <td align="center" valign="middle">0.018</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="6">
                  <bold>Sex</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Male, n (%)</td>
                <td align="center" valign="middle">70(61.9)</td>
                <td align="center" valign="middle">609(72.9)</td>
                <td align="center" valign="middle">65(84.4)</td>
                <td align="center" valign="middle" rowspan="2">0.003</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Female, n (%)</td>
                <td align="center" valign="middle">43(38.1)</td>
                <td align="center" valign="middle">226(27.1)</td>
                <td align="center" valign="middle">12(15.6)</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Hypertension, n (%)</bold>
                </td>
                <td align="center" valign="middle">31(27.4)</td>
                <td align="center" valign="middle">221(26.5)</td>
                <td align="center" valign="middle">18(23.4)</td>
                <td align="center" valign="middle">0.809</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Diabetes, n (%)</bold>
                </td>
                <td align="center" valign="middle">15(13.3)</td>
                <td align="center" valign="middle">148(17.7)</td>
                <td align="center" valign="middle">9(11.7)</td>
                <td align="center" valign="middle">0.228</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Smokers, n (%)</bold>
                </td>
                <td align="center" valign="middle">29(25.7)</td>
                <td align="center" valign="middle">233(27.9)</td>
                <td align="center" valign="middle">20(26.0)</td>
                <td align="center" valign="middle">0.840</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>NYHA functional class&gt;II</bold>
                </td>
                <td align="center" valign="middle">43(38.1)</td>
                <td align="center" valign="middle">445(53.3)</td>
                <td align="center" valign="middle">53(68.8)</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Hemoglobin (g/L)</bold>
                </td>
                <td align="center" valign="middle">143.3&#177;17.0</td>
                <td align="center" valign="middle">139.4&#177;18.4</td>
                <td align="center" valign="middle">134.0&#177;24.6</td>
                <td align="center" valign="middle">0.004</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Serum creatinine, (&#956;mol/L)</bold>
                </td>
                <td align="center" valign="middle">85.0(69.3.102.5)</td>
                <td align="center" valign="middle">94.0(78.5.113.0)</td>
                <td align="center" valign="middle">113.5(90.0.152.0)</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="6">
                  <bold>Liver function tests</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">ALT (U/L)</td>
                <td align="center" valign="middle">24.5(16.8.34.0)</td>
                <td align="center" valign="middle">29.0(19.0.48.0)</td>
                <td align="center" valign="middle">31.5(20.3.106.8)</td>
                <td align="center" valign="middle">0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Albumin (g/L)</td>
                <td align="center" valign="middle">41.9&#177;2.2</td>
                <td align="center" valign="middle">34.8&#177;3.5</td>
                <td align="center" valign="middle">25.9&#177;3.3</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">
                  <bold>Total bilirubin, (&#956;mol/L)</bold>
                </td>
                <td align="center" valign="middle">15.6(11.4.20.8)</td>
                <td align="center" valign="middle">21.6(15.1.31.2)</td>
                <td align="center" valign="middle">45.7(23.7.78.3)</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="6">
                  <bold>Echocardiography data</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">LAD, (mm)</td>
                <td align="center" valign="middle">41.4&#177;7.0</td>
                <td align="center" valign="middle">44.6&#177;7.2</td>
                <td align="center" valign="middle">46.8&#177;9.5</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">LVEDD, (mm)</td>
                <td align="center" valign="middle">67.1&#177;8.3</td>
                <td align="center" valign="middle">67.0&#177;8.7</td>
                <td align="center" valign="middle">68.0&#177;8.0</td>
                <td align="center" valign="middle">0.604</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">LVEF, (%)</td>
                <td align="center" valign="middle">30.1&#177;7.5</td>
                <td align="center" valign="middle">29.2&#177;7.7</td>
                <td align="center" valign="middle">27.5&#177;8.7</td>
                <td align="center" valign="middle">0.075</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="6">
                  <bold>Medicine during hospitalization</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">ACEI/ARB</td>
                <td align="center" valign="middle">95(84.1)</td>
                <td align="center" valign="middle">708(84.8)</td>
                <td align="center" valign="middle">60(77.9)</td>
                <td align="center" valign="middle">0.286</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Beta-blockers</td>
                <td align="center" valign="middle">90(79.6)</td>
                <td align="center" valign="middle">658(78.8)</td>
                <td align="center" valign="middle">54(70.1)</td>
                <td align="center" valign="middle">0.196</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Lasix</td>
                <td align="center" valign="middle">90(79.6)</td>
                <td align="center" valign="middle">730(87.4)</td>
                <td align="center" valign="middle">72(93.5)</td>
                <td align="center" valign="middle">0.015</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Aldactone</td>
                <td align="center" valign="middle">89(78.8)</td>
                <td align="center" valign="middle">741(88.7)</td>
                <td align="center" valign="middle">72(93.5)</td>
                <td align="center" valign="middle">0.003</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Digoxin</td>
                <td align="center" valign="middle">48(42.5)</td>
                <td align="center" valign="middle">509(61.0)</td>
                <td align="center" valign="middle">65(84.4)</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">In-hospital MACEs</td>
                <td align="center" valign="middle">3(2.7)</td>
                <td align="center" valign="middle">59(7.1)</td>
                <td align="center" valign="middle">19(24.7)</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN5">
              <p>ACEI: angiotensin-converting enzyme inhibitors; ALBI: albumin-bilirubin; ALT: alanine transaminase; ARB: angiotensin receptor blocker; LAD: left atrial diameter; LVEDD: left ventricular end-diastolic dimension; LVEF: left ventricular ejection fraction; MACEs: major adverse cardiac events; NYHA: New York Heart Association.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>During hospitalization, 15 patients (1.5%) died; 48 (4.7%) suffered from acute heart failure; 23 (2.2%) required renal dialysis, and 23 (2.2%) suffered a stroke. The in-hospital MACE rate was significantly higher in patients with grade 3 than in those with grades 1 and 2 (2.7% versus 7.1% versus 24.7%, p &lt; 0.001, <xref ref-type="table" rid="t5">Table 1</xref>). In univariate logistic regression analysis, ALBI score, NYHA functional class &gt; II, anemia, eGFR &lt; 60 mL/min/1.73 m<sup>2</sup>, lgALT(log<sub>10</sub>ALT), total bilirubin, LAD, LVEDD, LVEF, and &#946;-blocker usage were associated with in-hospital MACEs (<xref ref-type="table" rid="t6">Table 2</xref>). After adjusting for potential risk factors, ALBI score was an independent predictor of in-hospital MACEs (adjusted odds ratio = 2.80, 95% confidence interval [CI]: 1.63 &#8211; 4.80, p &lt; 0.001, <xref ref-type="table" rid="t6">Table 2</xref>).</p>
        <table-wrap id="t6">
          <label>Table 2</label>
          <caption>
            <title>Univariate and multivariable logistic regression analysis for in-hospital MACEs</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="16%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle" rowspan="2">Clinical variables</th>
                <th align="center" valign="middle" colspan="2">Univariate analysis</th>
                <th align="left" valign="middle"/>
                <th align="center" valign="middle">Multivariate analysis</th>
                <th align="left" valign="middle"/>
              </tr>
              <tr>
                <th align="center" valign="middle">OR</th>
                <th align="center" valign="middle">p</th>
                <th align="center" valign="middle">OR</th>
                <th align="center" valign="middle">95% CI</th>
                <th align="center" valign="middle">p</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle">ALBI score</td>
                <td align="center" valign="middle">4.07</td>
                <td align="center" valign="middle">&lt;0.001</td>
                <td align="center" valign="middle">2.80</td>
                <td align="center" valign="middle">1.63 &#8211; 4.80</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Age (years)</td>
                <td align="center" valign="middle">1.01</td>
                <td align="center" valign="middle">0.440</td>
                <td align="left" valign="middle" rowspan="5" colspan="3"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Female sex</td>
                <td align="center" valign="middle">0.92</td>
                <td align="center" valign="middle">0.754</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Hypertension</td>
                <td align="center" valign="middle">0.85</td>
                <td align="center" valign="middle">0.540</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Diabetes</td>
                <td align="center" valign="middle">1.24</td>
                <td align="center" valign="middle">0.456</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Smokers</td>
                <td align="center" valign="middle">0.85</td>
                <td align="center" valign="middle">0.554</td>
              </tr>
              <tr>
                <td align="left" valign="middle">NYHA functional class&gt;II</td>
                <td align="center" valign="middle">1.88</td>
                <td align="center" valign="middle">0.010</td>
                <td align="center" valign="middle">1.20</td>
                <td align="center" valign="middle">0.70 &#8211; 2.05</td>
                <td align="center" valign="middle">0.506</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Anemia</td>
                <td align="center" valign="middle">2.16</td>
                <td align="center" valign="middle">0.015</td>
                <td align="center" valign="middle">1.75</td>
                <td align="center" valign="middle">0.88 &#8211; 3.47</td>
                <td align="center" valign="middle">0.112</td>
              </tr>
              <tr>
                <td align="left" valign="middle">eGFR&lt;60mL/min/1.73 m<sup>2</sup></td>
                <td align="center" valign="middle">2.42</td>
                <td align="center" valign="middle">&lt;0.001</td>
                <td align="center" valign="middle">1.70</td>
                <td align="center" valign="middle">1.02 &#8211; 2.83</td>
                <td align="center" valign="middle">0.040</td>
              </tr>
              <tr>
                <td align="left" valign="middle">lgALT</td>
                <td align="center" valign="middle">2.73</td>
                <td align="center" valign="middle">&lt;0.001</td>
                <td align="center" valign="middle">1.77</td>
                <td align="center" valign="middle">1.08 &#8211; 2.92</td>
                <td align="center" valign="middle">0.025</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Hypoproteinemia</td>
                <td align="center" valign="middle">2.48</td>
                <td align="center" valign="middle">&lt;0.001</td>
                <td align="left" valign="middle" rowspan="2" colspan="3"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Total bilirubin</td>
                <td align="center" valign="middle">1.01</td>
                <td align="center" valign="middle">0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">LAD</td>
                <td align="center" valign="middle">1.03</td>
                <td align="center" valign="middle">0.049</td>
                <td align="center" valign="middle">1.01</td>
                <td align="center" valign="middle">0.97 &#8211; 1.04</td>
                <td align="center" valign="middle">0.680</td>
              </tr>
              <tr>
                <td align="left" valign="middle">LVEDD</td>
                <td align="center" valign="middle">1.04</td>
                <td align="center" valign="middle">0.004</td>
                <td align="center" valign="middle">1.03</td>
                <td align="center" valign="middle">1.00 &#8211; 1.06</td>
                <td align="center" valign="middle">0.085</td>
              </tr>
              <tr>
                <td align="left" valign="middle">LVEF</td>
                <td align="center" valign="middle">0.95</td>
                <td align="center" valign="middle">0.001</td>
                <td align="center" valign="middle">0.97</td>
                <td align="center" valign="middle">0.94 &#8211; 1.01</td>
                <td align="center" valign="middle">0.152</td>
              </tr>
              <tr>
                <td align="left" valign="middle">ACEI/ARB usage</td>
                <td align="center" valign="middle">0.74</td>
                <td align="center" valign="middle">0.312</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Beta-blocker usage</td>
                <td align="center" valign="middle">0.41</td>
                <td align="center" valign="middle">&lt;0.001</td>
                <td align="center" valign="middle">0.47</td>
                <td align="center" valign="middle">0.28 &#8211; 0.79</td>
                <td align="center" valign="middle">0.004</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Lasix usage</td>
                <td align="center" valign="middle">1.21</td>
                <td align="center" valign="middle">0.603</td>
                <td align="left" valign="middle" rowspan="3" colspan="3"/>
              </tr>
              <tr>
                <td align="left" valign="middle">Aldactone usage</td>
                <td align="center" valign="middle">0.97</td>
                <td align="center" valign="middle">0.921</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Digoxin usage</td>
                <td align="center" valign="middle">1.59</td>
                <td align="center" valign="middle">0.065</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN6">
              <p>ACEI: angiotensin-converting enzyme inhibitors; ALBI: albumin-bilirubin; ALT: alanine transaminase; ARB: angiotensin receptor blocker; CI: confidence interval; DB: direct bilirubin; eGFR: estimated glomerular filtration rate; LAD: left atrial diameter; LVEDD: left ventricular end-diastolic dimension; LVEF: left ventricular ejection fraction; NYHA: New York Heart Association; OR: odds ratio; TB: total bilirubin.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>After a median 27 months of follow-up, 146 (14.2%) patients died. The Kaplan&#8211;Meier curve indicated that the cumulative rate of long-term survival rate was significantly lower in patients with higher ALBI grade (log-rank test = 45.50, p &lt; 0.001, <xref ref-type="fig" rid="f3">Figure 1</xref>). The univariate Cox proportional hazard model of long-term mortality is shown in <xref ref-type="table" rid="t7">Table 3</xref>. ALBI score was associated with increased risk of long-term death (unadjusted hazard ratio = 3.16, 95% CI: 2.31 &#8211; 4.33, p &lt; 0.001). Other significant variables included age, NYHA functional class &gt; II, anemia, eGFR &lt; 60 mL/min/1.73 m<sup>2</sup>, lgALT, hypoproteinemia, total bilirubin, LAD, LVEDD, LVEF, and &#946;-blocker and digoxin use. These significant risk factors, except the components of ALBI score, were included in the multivariate Cox survival model, which revealed that ALBI score remained an independent predictor for long-term mortality (adjusted hazard ratio = 2.84, 95% CI: 1.95 &#8211; 4.13, p &lt; 0.001, <xref ref-type="table" rid="t8">Table 4</xref>). In addition, the ALBI score was included in this model as a categorical variable rather than a continuous one. The result showed that, compared with ALBI grade 1, the adjusted hazard ratio was 5.69 (95% CI: 1.40 &#8211; 23.18, p = 0.015, <xref ref-type="table" rid="t8">Table 4</xref>) and 16.79 (95% CI: 3.91 &#8211; 72.04, p &lt; 0.001, <xref ref-type="table" rid="t8">Table 4</xref>) for Grade 2 and 3, respectively.</p>
        <fig id="f3">
          <label>Figure 1</label>
          <caption>
            <title>Kaplan&#8211;Meier curve of overall survival.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-118-06-1108-10035-gf01-en.tif"/></fig>
        <table-wrap id="t7">
          <label>Table 3</label>
          <caption>
            <title>Univariate Cox proportional hazard of long-term mortality</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="25%">
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle">Clinical variables</th>
                <th align="center" valign="middle">HR</th>
                <th align="center" valign="middle">95% CI</th>
                <th align="center" valign="middle">p-value</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle">ALBI score</td>
                <td align="center" valign="middle">3.16</td>
                <td align="center" valign="middle">2.31 &#8211; 4.33</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Age (years)</td>
                <td align="center" valign="middle">1.03</td>
                <td align="center" valign="middle">1.02 &#8211; 1.04</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Female sex</td>
                <td align="center" valign="middle">0.96</td>
                <td align="center" valign="middle">0.67 &#8211; 1.39</td>
                <td align="center" valign="middle">0.845</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Hypertension</td>
                <td align="center" valign="middle">0.99</td>
                <td align="center" valign="middle">0.69 &#8211; 1.44</td>
                <td align="center" valign="middle">0.975</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Diabetes</td>
                <td align="center" valign="middle">0.96</td>
                <td align="center" valign="middle">0.62 &#8211; 1.49</td>
                <td align="center" valign="middle">0.854</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Smokers</td>
                <td align="center" valign="middle">1.03</td>
                <td align="center" valign="middle">0.72 &#8211; 1.49</td>
                <td align="center" valign="middle">0.859</td>
              </tr>
              <tr>
                <td align="left" valign="middle">NYHA functional class&gt;II</td>
                <td align="center" valign="middle">1.81</td>
                <td align="center" valign="middle">1.28 &#8211; 2.54</td>
                <td align="center" valign="middle">0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Anemia</td>
                <td align="center" valign="middle">1.97</td>
                <td align="center" valign="middle">1.25 &#8211; 3.10</td>
                <td align="center" valign="middle">0.003</td>
              </tr>
              <tr>
                <td align="left" valign="middle">eGFR&lt;60mL/min/1.73 m<sup>2</sup></td>
                <td align="center" valign="middle">2.09</td>
                <td align="center" valign="middle">1.51 &#8211; 2.91</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">lgALT</td>
                <td align="center" valign="middle">1.78</td>
                <td align="center" valign="middle">1.21 &#8211; 2.62</td>
                <td align="center" valign="middle">0.004</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Hypoproteinemia</td>
                <td align="center" valign="middle">2.46</td>
                <td align="center" valign="middle">1.73 &#8211; 3.48</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Total bilirubin</td>
                <td align="center" valign="middle">1.01</td>
                <td align="center" valign="middle">1.00 &#8211; 1.01</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">LAD</td>
                <td align="center" valign="middle">1.03</td>
                <td align="center" valign="middle">1.01 &#8211; 1.05</td>
                <td align="center" valign="middle">0.016</td>
              </tr>
              <tr>
                <td align="left" valign="middle">LVEDD</td>
                <td align="center" valign="middle">1.04</td>
                <td align="center" valign="middle">1.03 &#8211; 1.06</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">LVEF</td>
                <td align="center" valign="middle">0.96</td>
                <td align="center" valign="middle">0.94 &#8211; 0.98</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">ACEI/ARB usage</td>
                <td align="center" valign="middle">0.93</td>
                <td align="center" valign="middle">0.60 &#8211; 1.44</td>
                <td align="center" valign="middle">0.733</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Beta-blocker usage</td>
                <td align="center" valign="middle">0.53</td>
                <td align="center" valign="middle">0.37 &#8211; 0.75</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Lasix usage</td>
                <td align="center" valign="middle">1.08</td>
                <td align="center" valign="middle">0.67 &#8211; 1.76</td>
                <td align="center" valign="middle">0.742</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Aldactone usage</td>
                <td align="center" valign="middle">1.43</td>
                <td align="center" valign="middle">0.83 &#8211; 2.48</td>
                <td align="center" valign="middle">0.202</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Digoxin usage</td>
                <td align="center" valign="middle">1.55</td>
                <td align="center" valign="middle">1.09 &#8211; 2.20</td>
                <td align="center" valign="middle">0.016</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN7">
              <p>ACEI: angiotensin-converting enzyme inhibitors; ALBI: albumin-bilirubin; ARB: angiotensin receptor blocker; ALT: alanine transaminase; CI: confidence interval; eGFR: estimated glomerular filtration rate; HR: hazard ratio; LAD: left atrial diameter; LVEDD: left ventricular end-diastolic dimension; LVEF: left ventricular ejection fraction; NYHA: New York Heart Association.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <table-wrap id="t8">
          <label>Table 4</label>
          <caption>
            <title>Multivariate Cox proportional hazard of long-term mortality</title>
          </caption>
          <table frame="hsides" rules="rows">
            <colgroup width="20%">
              <col width="1%"/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr>
                <th align="left" valign="middle" colspan="2">Clinical variables</th>
                <th align="center" valign="middle">HR</th>
                <th align="center" valign="middle">95% CI</th>
                <th align="center" valign="middle">p-value</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr>
                <td align="left" valign="middle" colspan="5">
                  <bold>Model 1</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">ALBI</td>
                <td align="center" valign="middle">2.84</td>
                <td align="center" valign="middle">1.95 &#8211; 4.13</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Age (years)</td>
                <td align="center" valign="middle">1.03</td>
                <td align="center" valign="middle">1.02 &#8211; 1.05</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">NYHA functional class&gt;II</td>
                <td align="center" valign="middle">1.25</td>
                <td align="center" valign="middle">0.86 &#8211; 1.82</td>
                <td align="center" valign="middle">0.236</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Anemia</td>
                <td align="center" valign="middle">1.25</td>
                <td align="center" valign="middle">0.76 &#8211; 2.06</td>
                <td align="center" valign="middle">0.382</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">eGFR&lt;60mL/min/1.73 m<sup>2</sup></td>
                <td align="center" valign="middle">1.30</td>
                <td align="center" valign="middle">0.91 &#8211; 1.85</td>
                <td align="center" valign="middle">0.156</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">lgALT</td>
                <td align="center" valign="middle">1.46</td>
                <td align="center" valign="middle">1.00 &#8211; 2.14</td>
                <td align="center" valign="middle">0.050</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">LAD</td>
                <td align="center" valign="middle">1.00</td>
                <td align="center" valign="middle">0.98 &#8211; 1.03</td>
                <td align="center" valign="middle">0.898</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">LVEDD</td>
                <td align="center" valign="middle">1.04</td>
                <td align="center" valign="middle">1.02 &#8211; 1.06</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">LVEF</td>
                <td align="center" valign="middle">0.99</td>
                <td align="center" valign="middle">0.97 &#8211; 1.01</td>
                <td align="center" valign="middle">0.348</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Beta-blocker usage</td>
                <td align="center" valign="middle">0.65</td>
                <td align="center" valign="middle">0.45 &#8211; 0.95</td>
                <td align="center" valign="middle">0.024</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Digoxin usage</td>
                <td align="center" valign="middle">1.05</td>
                <td align="center" valign="middle">0.72 &#8211; 1.54</td>
                <td align="center" valign="middle">0.804</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="5">
                  <bold>Model 2</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">ALBI</td>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Grade 1</td>
                <td align="center" valign="middle">-</td>
                <td align="center" valign="middle">-</td>
                <td align="center" valign="middle">-</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Grade 2</td>
                <td align="center" valign="middle">5.69</td>
                <td align="center" valign="middle">1.40 &#8211; 23.18</td>
                <td align="center" valign="middle">0.015</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Grade 3</td>
                <td align="center" valign="middle">16.79</td>
                <td align="center" valign="middle">3.91 &#8211; 72.04</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Age (years)</td>
                <td align="center" valign="middle">1.03</td>
                <td align="center" valign="middle">1.02 &#8211; 1.05</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">NYHA functional class&gt;II</td>
                <td align="center" valign="middle">1.24</td>
                <td align="center" valign="middle">0.85 &#8211; 1.81</td>
                <td align="center" valign="middle">0.262</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Anemia</td>
                <td align="center" valign="middle">1.37</td>
                <td align="center" valign="middle">0.84 &#8211; 2.24</td>
                <td align="center" valign="middle">0.205</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">eGFR&lt;60mL/min/1.73 m<sup>2</sup></td>
                <td align="center" valign="middle">1.29</td>
                <td align="center" valign="middle">0.90 &#8211; 1.84</td>
                <td align="center" valign="middle">0.168</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">lgALT</td>
                <td align="center" valign="middle">1.57</td>
                <td align="center" valign="middle">1.08 &#8211; 2.28</td>
                <td align="center" valign="middle">0.019</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">LAD</td>
                <td align="center" valign="middle">1.00</td>
                <td align="center" valign="middle">0.98 &#8211; 1.03</td>
                <td align="center" valign="middle">0.758</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">LVEDD</td>
                <td align="center" valign="middle">1.04</td>
                <td align="center" valign="middle">1.02 &#8211; 1.07</td>
                <td align="center" valign="middle">&lt;0.001</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">LVEF</td>
                <td align="center" valign="middle">0.98</td>
                <td align="center" valign="middle">0.96 &#8211; 1.01</td>
                <td align="center" valign="middle">0.180</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Beta-blocker usage</td>
                <td align="center" valign="middle">0.59</td>
                <td align="center" valign="middle">0.41 &#8211; 0.85</td>
                <td align="center" valign="middle">0.005</td>
              </tr>
              <tr>
                <td align="left" valign="middle" colspan="2">Digoxin usage</td>
                <td align="center" valign="middle">1.08</td>
                <td align="center" valign="middle">0.74 &#8211; 1.58</td>
                <td align="center" valign="middle">0.702</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN8">
              <p>ALBI: albumin-bilirubin; ALT: alanine transaminase; CI: confidence interval; eGFR: estimated glomerular filtration rate; HR: hazard ratio; LAD: left atrial diameter; LVEDD: left ventricular end-diastolic dimension; LVEF: left ventricular ejection fraction; NYHA: New York Heart Association.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>ROC curve analysis indicated that the area under the curve of ALBI score, serum albumin, and total bilirubin for predicting long-term death were 0.684 (95% CI: 0.654 &#8211; 0.714, <xref ref-type="fig" rid="f4">Figure 2</xref>), 0.662 (95% CI: 0.631 &#8211; 0.692, <xref ref-type="fig" rid="f4">Figure 2</xref>) and 0.588 (95% CI: 0.556 &#8211; 0.619, <xref ref-type="fig" rid="f4">Figure 2</xref>) respectively. ALBI score exhibited relatively superior predictive ability for long-term death than serum albumin (0.684 versus 0.662, p = 0.026, <xref ref-type="fig" rid="f4">Figure 2</xref>) and total bilirubin (0.684 versus 0.588, p = 0.002, <xref ref-type="fig" rid="f4">Figure 2</xref>).</p>
        <fig id="f4">
          <label>Figure 2</label>
          <caption>
            <title>ROC analysis of long-term mortality.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-118-06-1108-10035-gf02-en.tif"/></fig>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <p>To our knowledge, this is the first study to evaluate the prognostic role of ALBI score in patients with idiopathic DCM. The results showed that ALBI score was an independent risk factor for in-hospital MACEs and long-term mortality. In addition, ALBI score exhibited better predictive ability for long-term death than serum albumin and total bilirubin. The ALBI score can be easily measured and would be useful in identifying idiopathic DCM patients who are at a high risk of poor outcomes.</p>
        <p>DCM is characterized by ventricular remodeling which can gradually develop into left heart failure and even global heart failure.<sup><xref ref-type="bibr" rid="B13">13</xref>,<xref ref-type="bibr" rid="B14">14</xref></sup> In addition, right ventricular dysfunction is prevalent in patients with DCM, <sup><xref ref-type="bibr" rid="B15">15</xref></sup> and it has been demonstrated to influence the course and prognosis of DCM.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> Progression of right ventricular dysfunction can lead to systemic congestion, resulting in sinusoidal congestion and peri-sinusoidal edema, which impair delivery of oxygen and nutrients to hepatocytes.<sup><xref ref-type="bibr" rid="B17">17</xref>-<xref ref-type="bibr" rid="B19">19</xref></sup> In addition, decreased cardiac output and inadequate liver perfusion may trigger hypoxic injury. This injury of hepatocytes can manifest as decreased serum albumin and elevated bilirubin.</p>
        <p>Albumin, which reflects the synthetic function of the liver, has multiple physiological roles, such as counterbalancing hydrostatic pressure, antioxidant and anti-inflammatory functions, and transporting molecules and drugs.<sup><xref ref-type="bibr" rid="B20">20</xref></sup> We found that hypoalbuminemia was related to adverse outcome in patients with idiopathic DCM. This could be explained by several theories. First, in addition to being a marker of liver injury, hypoalbuminemia is frequently associated with renal dysfunction.<sup><xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref></sup> Albumin is restricted by the normal glomerular barrier, and filtered albumin can be reabsorbed by proximal tubular cells.<sup><xref ref-type="bibr" rid="B22">22</xref></sup> However, increased protein urine discharge can be found in renal insufficiency, which results in hypoalbuminemia. Therefore, hypoalbuminemia might reflect the concurrent renal dysfunction and portend poor outcomes. Second, hypoalbuminemia results in lower serum osmotic pressure and can exacerbate pulmonary edema and pleural effusion, precipitating refractory heart failure in patients with DCM.<sup><xref ref-type="bibr" rid="B21">21</xref></sup> Third, serum albumin and prealbumin levels have been shown to reflect nutritional status.<sup><xref ref-type="bibr" rid="B23">23</xref>,<xref ref-type="bibr" rid="B24">24</xref></sup> Malnutrition at times may progress to cardiac cachexia, which is characterized by protein-calorie malnutrition with muscle wasting and peripheral edema, leading to poor quality of life and increased mortality.<sup><xref ref-type="bibr" rid="B24">24</xref></sup></p>
        <p>Similarly, in patients with advanced DCM, several metabolic processes of bilirubin in the liver, including uptake, conjugation, and secretion, are attenuated by hepatocellular hypoxia and congestion, leading to greater increase in serum total bilirubin. Although bilirubin has antioxidant and anti-inflammatory properties, extremely elevated bilirubin levels represent impaired hemodynamics caused by right ventricular dysfunction, which has an adverse prognostic effect on patients with DCM.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> In addition, hyperbilirubinemia reflects poor latent cardiac status in chronic heart failure.<sup><xref ref-type="bibr" rid="B25">25</xref></sup> Lang et al. indicated that bilirubin had adverse effects on erythrocytes, inducing suicidal death of erythrocytes. Excessive damage to erythrocytes leads to severe anemia and further affects the prognosis.<sup><xref ref-type="bibr" rid="B26">26</xref></sup> These pieces of evidence support our finding that hyperbilirubinemia is a risk factor for patients with idiopathic DCM.</p>
        <p>Both hypoalbuminemia and hyperbilirubinemia were risk factors for poor prognosis in patients with idiopathic DCM. The ALBI score, combining these two effects, has been extensively tested as an objective, simple, and distinguishing method for assessing liver function.<sup><xref ref-type="bibr" rid="B27">27</xref></sup> To the best of our knowledge, no study yet has evaluated the prognostic value of ALBI score in patients with idiopathic DCM. The present study demonstrated that ALBI score was independently associated with in-hospital and long-term adverse outcomes. The ALBI score consists of only two variables, and it is a simple risk-stratifying tool in patients with idiopathic DCM. Based on the current study, the clinical application of the ALBI score might be extended from hepatic diseases to idiopathic DCM.</p>
        <sec>
          <title>Limitations</title>
          <p>Our study has some limitations. First, this was a retrospective cohort study; therefore, some admission bilirubin and albumin levels were missing, which may affect the results. Second, bilirubin and albumin were not dynamically detected. The relationship between prognosis and ALBI score at different time points is unknown. Finally, as our included study population did not represent patients with idiopathic DCM in different settings, such as in western countries, the study results should be validated in different idiopathic DCM cohorts.</p>
        </sec>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusions</title>
        <p>This study showed that the ALBI score was independently associated with increased risk of in-hospital MACEs and long-term mortality in patients with idiopathic DCM. Moreover, compared to bilirubin and albumin, the ALBI score exhibited relatively superior predictive ability for long-term mortality, which might identify more patients at high risk of poor outcomes.</p>
      </sec>
    </body>
    <back>
      <fn-group>
        <fn fn-type="financial-disclosure" id="fn5">
          <p>
            <bold>Sources of Funding</bold>
          </p>
          <p>This study was funded by Medical Science and Technology Research Founding of Guangdong (A2019409).</p>
        </fn>
        <fn fn-type="other" id="fn6">
          <p>
            <bold>Study Association</bold>
          </p>
          <p>This study is not associated with any thesis or dissertation work.</p>
        </fn>
      </fn-group>
    </back>
  </sub-article>
</article>
