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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">bLC3fx8TRB9wVvz3snWbvhr</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S0066-782X2025000800309</article-id>
      <article-id pub-id-type="other">00309</article-id>
      <article-id pub-id-type="doi">10.36660/abc.20240856</article-id>
      <article-id pub-id-type="publisher-id">abc.20240856</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigo Original</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Rela&#231;&#227;o entre Fibrose Hep&#225;tica Decorrente da Doen&#231;a Hep&#225;tica Gordurosa Associada &#224; Disfun&#231;&#227;o Metab&#243;lica e Aterosclerose Subcl&#237;nica</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Coutinho</surname>
            <given-names>Daniele Araujo de Azeredo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <role>Obten&#231;&#227;o de dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-2349-670X</contrib-id>
          <name>
            <surname>Godinho</surname>
            <given-names>Jenaine Rosa</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="c1"/>
          <role>Obten&#231;&#227;o de dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Moura</surname>
            <given-names>Raphael Carreiro</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <role>Obten&#231;&#227;o de dados</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Oliveira</surname>
            <given-names>Rog&#233;rio Martins</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <role>Obten&#231;&#227;o de dados</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Passos</surname>
            <given-names>Hevila Faria</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mendes</surname>
            <given-names>Jordana de Paula Felipe</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <role>Obten&#231;&#227;o de dados</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Andrade</surname>
            <given-names>Carlos Roberto Moraes de</given-names>
            <suffix>Junior</suffix>
          </name>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
          <role>Obten&#231;&#227;o de dados</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Coca-Velarde</surname>
            <given-names>Luis Guillermo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <role>An&#225;lise estat&#237;stica</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Saad</surname>
            <given-names>Maria Auxiliadora Nogueira</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <role>Obten&#231;&#227;o de dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-5358-5426</contrib-id>
          <name>
            <surname>Flores</surname>
            <given-names>Priscila Pollo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
          <role>Obten&#231;&#227;o de dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-7905-0988</contrib-id>
          <name>
            <surname>Soares</surname>
            <given-names>Debora Vieira</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Universidade Federal Fluminense</institution>
          <addr-line>
            <named-content content-type="city">Niter&#243;i</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Universidade Federal Fluminense, Niter&#243;i, RJ &#8211; Brasil</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution content-type="orgname">Universidade Federal Fluminense</institution>
          <institution content-type="orgdiv1">Hospital Universit&#225;rio Ant&#244;nio Pedro</institution>
          <addr-line>
            <named-content content-type="city">Niter&#243;i</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Universidade Federal Fluminense - Hospital Universit&#225;rio Ant&#244;nio Pedro, Niter&#243;i, RJ &#8211; Brasil</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><label>Correspond&#234;ncia:</label><bold>Jenaine Rosa Godinho</bold> &#8226; Universidade Federal Fluminense - R. Des. Athayde Parreiras, 100. CEP <postal-code>24070-090</postal-code>, F&#225;tima, Niter&#243;i, RJ - Brasil E-mail: <email>jenainegodinho@id.uff.br</email> </corresp>
        <fn fn-type="conflict">
          <label>Potencial conflito de interesse</label>
          <p>N&#227;o h&#225; conflito com o presente artigo</p>
        </fn>
        <fn fn-type="edited-by">
          <label>Editor respons&#225;vel pela revis&#227;o:</label>
          <p>Gl&#225;ucia Maria Moraes de Oliveira</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>19</day>
        <month>09</month>
        <year>2025</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2025</year>
      </pub-date>
      <volume>122</volume>
      <issue>8</issue>
      <elocation-id>e20240856</elocation-id>
      <history>
        <date date-type="received">
          <day>18</day>
          <month>12</month>
          <year>2024</year>
        </date>
        <date date-type="rev-recd">
          <day>07</day>
          <month>04</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>07</day>
          <month>05</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Resumo</title>
        <sec>
          <title>Fundamento</title>
          <p>A doen&#231;a hep&#225;tica esteat&#243;tica associada &#224; disfun&#231;&#227;o metab&#243;lica (DHEADM) &#233; a enfermidade hep&#225;tica mais prevalente no mundo. A DHEADM pode progredir para fibrose e complica&#231;&#245;es associadas, sendo a doen&#231;a cardiovascular a principal causa de morte nesses indiv&#237;duos. Marcadores de aterosclerose carot&#237;dea s&#227;o capazes de predizer desfechos cardiovasculares, o que ressalta a import&#226;ncia de sua associa&#231;&#227;o com a fibrose hep&#225;tica.</p>
        </sec>
        <sec>
          <title>Objetivo</title>
          <p>Avaliar a rela&#231;&#227;o entre fibrose hep&#225;tica na DHEADM e aterosclerose subcl&#237;nica, por meio da an&#225;lise da espessura m&#233;dio-intimal da car&#243;tida (EMIC), da idade vascular (IV) e da presen&#231;a de placas ateroscler&#243;ticas.</p>
        </sec>
        <sec>
          <title>M&#233;todos</title>
          <p>Estudo prospectivo conduzido com participantes sob risco para DHEADM. A esteatose e a fibrose hep&#225;ticas foram avaliadas por ultrassonografia e elastografia hep&#225;tica, com uso do par&#226;metro de atenua&#231;&#227;o controlada. A aterosclerose carot&#237;dea foi analisada por meio de ultrassonografia de car&#243;tidas, medi&#231;&#245;es da EMIC e da IV. Adotou-se n&#237;vel de signific&#226;ncia de 5% (p &lt; 0,05).</p>
        </sec>
        <sec>
          <title>Resultados</title>
          <p>Foram inclu&#237;dos 114 participantes, com idade mediana de 64 anos (IIQ: 55&#8211;68), sendo 96 (84%) do sexo feminino. A esteatose foi identificada em 99 participantes (86,8%) e a fibrose em 31 (27,2%). Placas ateroscler&#243;ticas estavam presentes em 33 indiv&#237;duos (28,9%), sem diferen&#231;a significativa na frequ&#234;ncia entre os grupos. No entanto, o grupo com fibrose apresentou EMIC mais elevada e IV aumentada. Em uma an&#225;lise de subgrupo com 85 participantes com diabetes mellitus tipo 2 (DM2), 27 (31,8%) apresentavam fibrose. Esses indiv&#237;duos apresentaram EMIC superior (0,742 mm vs. 0,653 mm; p &lt; 0,05) e IV nove anos acima da idade cronol&#243;gica, quando comparados aos indiv&#237;duos sem fibrose (p &lt; 0,05).</p>
        </sec>
        <sec>
          <title>Conclus&#227;o</title>
          <p>Este estudo demonstra que indiv&#237;duos com DHEADM e fibrose hep&#225;tica apresentam maior envelhecimento vascular e risco cardiovascular aumentado, refletidos por eleva&#231;&#245;es na EMIC e na IV.</p>
        </sec>
      </abstract>
      <abstract abstract-type="graphical">
        <p>
          <fig id="f01">
            <label>Figura Central:</label>
            <caption>
              <title>Rela&#231;&#227;o entre Fibrose Hep&#225;tica Decorrente da Doen&#231;a Hep&#225;tica Gordurosa Associada &#224; Disfun&#231;&#227;o Metab&#243;lica e Aterosclerose Subcl&#237;nica</title>
            </caption>
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      </abstract>
      <kwd-group xml:lang="pt">
        <title>Palavras-chave</title>
        <kwd>Aterosclerose</kwd>
        <kwd>Diabetes Mellitus Tipo 2</kwd>
        <kwd>Cirrose Hep&#225;tica</kwd>
        <kwd>Fatores de Risco de Doen&#231;as Card&#237;acas</kwd>
      </kwd-group>
      <counts>
        <fig-count count="2"/>
        <table-count count="10"/>
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        <ref-count count="44"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>A doen&#231;a hep&#225;tica esteat&#243;tica associada &#224; disfun&#231;&#227;o metab&#243;lica (DHEADM)<sup><xref ref-type="bibr" rid="B1">1</xref></sup> &#233; uma condi&#231;&#227;o altamente prevalente, afetando aproximadamente 30% da popula&#231;&#227;o mundial e at&#233; 44% na Am&#233;rica Latina.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> A DHEADM abrange um espectro que vai desde a esteatose simples at&#233; a esteato-hepatite (DHEADM com inflama&#231;&#227;o ativa, anteriormente denominada MASH), fibrose e, por fim, cirrose hep&#225;tica. Na popula&#231;&#227;o geral, cerca de 10% dos indiv&#237;duos com DHEADM evoluem para esteato-hepatite, fibrose e doen&#231;a hep&#225;tica avan&#231;ada. No entanto, essa propor&#231;&#227;o &#233; significativamente maior entre pessoas com diabetes mellitus tipo 2 (DM2) e obesidade.<sup><xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B4">4</xref></sup></p>
      <p>A mortalidade geral &#233; elevada em indiv&#237;duos com DHEADM e fibrose, sendo a doen&#231;a cardiovascular (DCV) a principal causa de &#243;bito.<sup><xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B5">5</xref></sup> Nos casos de fibrose avan&#231;ada e cirrose, a mortalidade por causas hep&#225;ticas torna-se mais proeminente.<sup><xref ref-type="bibr" rid="B3">3</xref></sup></p>
      <p>Os principais fatores de risco metab&#243;licos para a DHEADM est&#227;o associados &#224; resist&#234;ncia &#224; insulina, s&#237;ndrome metab&#243;lica (SM), obesidade visceral, diabetes mellitus e dislipidemia aterog&#234;nica.<sup><xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B3">3</xref></sup> Embora parte do risco cardiovascular possa ser atribu&#237;da a essas comorbidades, o diagn&#243;stico de DHEADM com fibrose est&#225; associado, de forma independente, ao aumento da mortalidade cardiovascular.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref></sup></p>
      <p>Estudos pr&#233;vios demonstraram que a medi&#231;&#227;o da espessura m&#233;dio-intimal da car&#243;tida (EMIC) por meio da ultrassonografia carot&#237;dea &#233; um preditor independente de risco cardiovascular. A EMIC est&#225; associada &#224; probabilidade de ocorr&#234;ncia de eventos isqu&#234;micos coronarianos e cerebrovasculares futuros, mesmo em indiv&#237;duos assintom&#225;ticos.<sup><xref ref-type="bibr" rid="B8">8</xref></sup> Por sua vez, a DHEADM e a presen&#231;a de fibrose hep&#225;tica tamb&#233;m podem atuar como preditores potenciais de aterosclerose subcl&#237;nica.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> Diversos estudos relataram uma associa&#231;&#227;o entre DCV subcl&#237;nica e fibrose hep&#225;tica decorrente da DHEADM.<sup><xref ref-type="bibr" rid="B9">9</xref>,<xref ref-type="bibr" rid="B10">10</xref></sup></p>
      <p>O objetivo do presente estudo foi avaliar a rela&#231;&#227;o entre a fibrose hep&#225;tica na DHEADM e a aterosclerose subcl&#237;nica, por meio da an&#225;lise da EMIC, do c&#225;lculo da idade vascular e da determina&#231;&#227;o da frequ&#234;ncia de placas ateroscler&#243;ticas.</p>
    </sec>
    <sec sec-type="methods">
      <title>M&#233;todos</title>
      <p>Trata-se de um estudo prospectivo, observacional, com an&#225;lise de dados transversais. Os participantes foram recrutados no ambulat&#243;rio de Endocrinologia de um hospital universit&#225;rio entre mar&#231;o de 2020 e agosto de 2021. O recrutamento foi interrompido em raz&#227;o da pandemia de COVID-19. O estudo foi aprovado pelo Comit&#234; de &#201;tica em Pesquisa local, sob o protocolo CAAE: 51731721.7.0000.5243. Todos os participantes assinaram o termo de consentimento livre e esclarecido.</p>
      <p>Os crit&#233;rios de inclus&#227;o foram idade superior a 18 anos e presen&#231;a de fatores de risco para DHEADM, incluindo pr&#233;-diabetes, DM2, obesidade e SM. A SM foi definida segundo os crit&#233;rios da Federa&#231;&#227;o Internacional de Diabetes (IDF), que exigem obesidade central (circunfer&#234;ncia da cintura &gt; 90 cm em homens e &gt; 80 cm em mulheres), al&#233;m de dois ou mais dos seguintes crit&#233;rios: triglicer&#237;deos &#8805; 150 mg/dl ou uso de f&#225;rmacos hipolipemiantes; colesterol HDL &lt; 40 mg/dl em homens e &lt; 50 mg/dl em mulheres ou uso de f&#225;rmacos hipolipemiantes; press&#227;o arterial sist&#243;lica &#8805; 130 mmHg e/ou press&#227;o arterial diast&#243;lica &#8805; 85 mmHg ou uso de medica&#231;&#227;o anti-hipertensiva; glicemia de jejum &#8805; 100 mg/dl ou diagn&#243;stico pr&#233;vio de DM2.<sup><xref ref-type="bibr" rid="B10">10</xref></sup></p>
      <p>Os crit&#233;rios de exclus&#227;o inclu&#237;ram hist&#243;rico atual ou pregresso de consumo de &#225;lcool &gt; 14 g/dia para mulheres e &gt; 20 g/dia para homens, c&#226;ncer, uso de corticosteroides sist&#234;micos ou androg&#234;nios, terapia hormonal para menopausa, hist&#243;rico de cirurgia bari&#225;trica, gesta&#231;&#227;o e doen&#231;a renal cr&#244;nica com taxa de filtra&#231;&#227;o glomerular (TFG) &lt; 60 ml/min/1,73 m<sup>2</sup>, calculada por meio da equa&#231;&#227;o da Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI).<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
      <p>Com rela&#231;&#227;o &#224;s doen&#231;as hep&#225;ticas, foram exclu&#237;dos indiv&#237;duos com hepatites virais (por exemplo, ant&#237;geno de superf&#237;cie da hepatite B, anticorpo contra o ant&#237;geno de superf&#237;cie da hepatite B, anticorpo contra o ant&#237;geno core da hepatite B e anticorpo contra o v&#237;rus da hepatite C) e hepatite autoimune. A triagem para hepatite autoimune foi realizada por meio da dosagem de IgG e de autoanticorpos antinucleares. Em pacientes com eleva&#231;&#227;o de enzimas hep&#225;ticas e pelo menos um resultado positivo ou alterado, foram realizados testes adicionais, incluindo a dosagem de anticorpo antimusculatura lisa e de anticorpo antimicrossoma f&#237;gado-rim tipo 1. Indiv&#237;duos com carcinoma hepatocelular, cirrose classe C de Child-Pugh ou cirrose descompensada tamb&#233;m foram exclu&#237;dos.</p>
      <p>Os participantes foram categorizados em grupos com e sem fibrose hep&#225;tica. A presen&#231;a de fibrose hep&#225;tica foi definida como rigidez hep&#225;tica &#8805; 7,1 kPa, valor correspondente ao est&#225;gio F2 de fibrose na bi&#243;psia hep&#225;tica, de acordo com o sistema de escore Metavir.<sup><xref ref-type="bibr" rid="B12">12</xref>,<xref ref-type="bibr" rid="B13">13</xref></sup> Tamb&#233;m foi realizada uma an&#225;lise de subgrupo com os participantes com DM2.</p>
      <p>As caracter&#237;sticas demogr&#225;ficas, fatores de estilo de vida, uso de medica&#231;&#245;es e hist&#243;rico pr&#233;vio de DCV &#8212; incluindo acidente vascular cerebral, doen&#231;a arterial coronariana e doen&#231;a arterial perif&#233;rica &#8212; foram obtidos por meio de prontu&#225;rios m&#233;dicos.</p>
      <p>As avalia&#231;&#245;es cl&#237;nicas inclu&#237;ram a aferi&#231;&#227;o do peso corporal em balan&#231;a antropom&#233;trica Filizola<sup>&#174;</sup> calibrada (S&#227;o Paulo, SP, Brasil), certificada pelo Instituto Nacional de Metrologia, Normaliza&#231;&#227;o e Qualidade Industrial (Inmetro). A estatura foi medida com estadi&#244;metro, com o participante em posi&#231;&#227;o ortost&#225;tica. A circunfer&#234;ncia da cintura foi medida com fita m&#233;trica inel&#225;stica SANNY (S&#227;o Bernardo do Campo, SP, Brasil), no ponto m&#233;dio entre a crista il&#237;aca e a &#250;ltima costela, com o participante em p&#233; e ao final de uma expira&#231;&#227;o normal.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> A circunfer&#234;ncia do pesco&#231;o (CP) foi aferida na base do pesco&#231;o, logo abaixo da proemin&#234;ncia lar&#237;ngea, com o participante em p&#233;, olhando para frente e com os ombros relaxados. Considerou-se CP elevada se &#8805; 35,5 cm para homens e &#8805; 32 cm para mulheres.<sup><xref ref-type="bibr" rid="B15">15</xref></sup> A raz&#227;o cintura-estatura (RCEst) foi considerada elevada se &#8805; 0,5. O &#237;ndice de massa corporal (IMC) foi calculado, e definiu-se obesidade como IMC &#8805; 30 kg/m<sup>2</sup>, segundo os crit&#233;rios da Organiza&#231;&#227;o Mundial da Sa&#250;de (OMS).<sup><xref ref-type="bibr" rid="B14">14</xref></sup></p>
      <p>A coleta de sangue foi realizada ap&#243;s jejum noturno de 12 horas. Os seguintes exames laboratoriais foram realizados por meio do m&#233;todo imunoturbidim&#233;trico: glicemia de jejum, colesterol total (CT), colesterol de lipoprote&#237;na de alta densidade (HDL-c), triglicer&#237;deos (TG), enzimas hep&#225;ticas, ureia, creatinina, bilirrubinas, prote&#237;na C reativa ultrassens&#237;vel e &#225;cido &#250;rico. Ferritina, horm&#244;nio estimulador da tireoide (TSH) e T4 livre foram dosados por imunensaio de quimioluminesc&#234;ncia, utilizando kits comerciais do sistema Alinity S (S&#227;o Paulo, Brasil). O colesterol de lipoprote&#237;na de baixa densidade (LDL-c) foi estimado por meio da equa&#231;&#227;o de Friedewald. A contagem de plaquetas foi determinada pelo sistema de an&#225;lise celular Unicel<sup>&#174;</sup> DxH 800, Coulter<sup>&#174;</sup>.</p>
      <p>A esteatose hep&#225;tica foi avaliada por meio de ultrassonografia hep&#225;tica e elastografia transit&#243;ria, incluindo a medi&#231;&#227;o do par&#226;metro de atenua&#231;&#227;o controlada (CAP), utilizando o modelo FibroScan<sup>&#174;</sup> Touch 502. Todos os exames foram realizados ap&#243;s jejum de 4 horas, por um mesmo operador experiente. A esteatose foi classificada como leve, moderada ou grave, segundo a classifica&#231;&#227;o de Saadeh.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> Tamb&#233;m foi utilizado o &#205;ndice de F&#237;gado Gorduroso (FLI-score) para estimar a probabilidade de esteato-hepatite, considerando-se FLI-score &#8805; 4 pontos como indicativo de alta probabilidade.<sup><xref ref-type="bibr" rid="B17">17</xref>,<xref ref-type="bibr" rid="B18">18</xref></sup></p>
      <p>A quantifica&#231;&#227;o da esteatose pelo CAP foi categorizada da seguinte forma: &lt; 236 dB/m indicou aus&#234;ncia de esteatose ou teor de gordura hep&#225;tica &lt; 5%; 236&#8211;279 dB/m indicou esteatose leve (5&#8211;33%); 279&#8211;302 dB/m indicou esteatose moderada (33&#8211;66%); e &#8805; 302 dB/m indicou esteatose acentuada (&gt; 66%).<sup><xref ref-type="bibr" rid="B19">19</xref></sup></p>
      <p>A fibrose hep&#225;tica foi avaliada por meio de medi&#231;&#245;es da rigidez hep&#225;tica utilizando elastografia transit&#243;ria unidimensional (FibroScan<sup>&#174;</sup>, Echosens, Fran&#231;a), com sondas M ou XL selecionadas conforme o biotipo do participante, e por elastografia hep&#225;tica bidimensional com pulso de for&#231;a de radia&#231;&#227;o ac&#250;stica (Canon<sup>&#174;</sup> Aplio i800, Jap&#227;o). Os exames foram realizados ap&#243;s jejum de 4 horas, pelo mesmo operador experiente. A classifica&#231;&#227;o da fibrose foi inferida com base no escore semiquantitativo METAVIR, de acordo com os seguintes valores de rigidez hep&#225;tica: F0 ou F1: &lt; 7,1 kPa; F2: &#8805; 7,1 kPa e &#8804; 9,5 kPa; F3: &gt; 9,5 kPa e &#8804; 12,5 kPa; F4: &gt; 12,5 kPa.<sup><xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref></sup></p>
      <p>As avalia&#231;&#245;es ultrassonogr&#225;ficas das car&#243;tidas foram realizadas pelo mesmo examinador experiente, que desconhecia a aloca&#231;&#227;o dos participantes nos grupos do estudo. A EMIC foi mensurada digitalmente com o sistema de ultrassonografia EPIQ7 (Philips<sup>&#174;</sup>), equipado com transdutor linear de 12&#8211;13 MHz. Com o uso do software Qlab (Philips<sup>&#174;</sup>), a EMIC foi aferida em mil&#237;metros, com precis&#227;o de tr&#234;s casas decimais. As medi&#231;&#245;es seguiram a t&#233;cnica padronizada pelo Departamento de Imagem Cardiovascular da Sociedade Brasileira de Cardiologia.<sup><xref ref-type="bibr" rid="B22">22</xref></sup></p>
      <p>Foi realizada uma varredura transversal das art&#233;rias car&#243;tidas e de seus ramos extracranianos, bilateralmente, para identifica&#231;&#227;o de placas vis&#237;veis. Em seguida, com o transdutor posicionado longitudinalmente ao longo da art&#233;ria car&#243;tida e utilizando o programa semiautom&#225;tico de detec&#231;&#227;o da EMIC, foram obtidas as medidas da EMIC a partir da parede distal da art&#233;ria car&#243;tida comum, nos &#250;ltimos 10 mm proximais ao bulbo carot&#237;deo, em tr&#234;s &#226;ngulos distintos: posterior, lateral e anterior. Isso resultou em seis medi&#231;&#245;es &#8212; tr&#234;s no lado direito e tr&#234;s no lado esquerdo. Foram ent&#227;o calculadas as m&#233;dias para o lado esquerdo (ML EMIC), lado direito (MR EMIC) e ambos os lados combinados (MT EMIC).</p>
      <p>Considerou-se EMIC aumentada quando o valor ultrapassava o percentil 75 em pelo menos um dos lados. Os valores de refer&#234;ncia foram baseados nas diretrizes de ultrassonografia vascular do Departamento de Imagem Cardiovascular da Sociedade Brasileira de Cardiologia.<sup><xref ref-type="bibr" rid="B22">22</xref></sup> Foram aplicadas diferentes tabelas conforme a faixa et&#225;ria dos participantes: para indiv&#237;duos com menos de 40 anos, utilizou-se a tabela do estudo CAPS, que n&#227;o diferencia por etnia; para aqueles entre 40 e 65 anos, foi aplicada a tabela do estudo ELSA-Brasil, com valores de refer&#234;ncia para indiv&#237;duos de etnia parda, refletindo a popula&#231;&#227;o estudada; para participantes com mais de 65 anos, utilizou-se a tabela do estudo MESA para popula&#231;&#227;o hisp&#226;nica.<sup><xref ref-type="bibr" rid="B22">22</xref></sup></p>
      <p>Para o c&#225;lculo da IV, utilizou-se a m&#233;dia da EMIC de cada lado. A IV foi definida como a idade na qual o valor da EMIC correspondia ao percentil 50 bilateralmente. Nos casos em que a IV diferia entre os lados direito e esquerdo, considerou-se o maior valor.<sup><xref ref-type="bibr" rid="B22">22</xref></sup></p>
      <p>A estratifica&#231;&#227;o do risco cardiovascular foi realizada por meio do escore proposto pela Sociedade Brasileira de Cardiologia, que classifica o risco em quatro categorias: baixo, moderado, alto e muito alto.<sup><xref ref-type="bibr" rid="B23">23</xref></sup></p>
      <sec>
        <title>An&#225;lise estat&#237;stica</title>
        <p>Os resultados foram apresentados como mediana e intervalo interquartil (p25&#8211;p75) para vari&#225;veis cont&#237;nuas com distribui&#231;&#227;o n&#227;o normal, m&#233;dia &#177; desvio padr&#227;o para vari&#225;veis cont&#237;nuas com distribui&#231;&#227;o normal, e frequ&#234;ncias absolutas (n) e relativas (%) para vari&#225;veis categ&#243;ricas. O teste de Shapiro-Wilk foi utilizado para avaliar a normalidade dos dados num&#233;ricos.</p>
        <p>Para compara&#231;&#245;es entre grupos, utilizou-se o teste t para amostras independentes nas vari&#225;veis com distribui&#231;&#227;o normal, e o teste <italic>U</italic> de Mann-Whitney para aquelas com distribui&#231;&#227;o n&#227;o normal. As vari&#225;veis categ&#243;ricas foram analisadas por meio do teste exato de Fisher, conforme as frequ&#234;ncias esperadas.</p>
        <p>Ap&#243;s a verifica&#231;&#227;o da normalidade, a correla&#231;&#227;o de Spearman foi aplicada para avaliar a rela&#231;&#227;o entre vari&#225;veis cont&#237;nuas. Valores de p &lt; 0,05 foram considerados estatisticamente significativos. Todas as an&#225;lises foram realizadas no software R, vers&#227;o 3.6.1 para Windows.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <p>Os principais achados deste estudo est&#227;o ilustrados na Figura Central, que resume visualmente os dados mais relevantes apresentados neste artigo.</p>
      <p>Foram inclu&#237;dos 114 participantes, dos quais 96 (84%) eram mulheres. A mediana de idade foi de 64 anos. A <xref ref-type="table" rid="t1">Tabela 1</xref> apresenta as caracter&#237;sticas basais da popula&#231;&#227;o do estudo. N&#227;o foram observadas diferen&#231;as significativas entre os grupos com e sem fibrose hep&#225;tica em rela&#231;&#227;o &#224; idade, sexo, etnia ou comorbidades associadas.</p>
      <table-wrap id="t1">
        <label>Tabela 1</label>
        <caption>
          <title>Dados gerais e comorbidades</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup width="12%">
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#76B4CF;">
              <th align="left" valign="middle">Vari&#225;vel</th>
              <th align="center" valign="middle">Popula&#231;&#227;o geral (n=114)</th>
              <th align="center" valign="middle">Sem fibrose (n=82)</th>
              <th align="center" valign="middle">Com fibrose (n=31)</th>
              <th align="center" valign="middle">Valor p</th>
              <th align="center" valign="middle">DM2 sem fibrose (n=58)</th>
              <th align="center" valign="middle">DM2 com fibrose (n=58)</th>
              <th align="center" valign="middle">Valor p</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="top">
                <bold>Idade (anos)</bold>
              </td>
              <td align="center" valign="top">64 (55-68)</td>
              <td align="center" valign="top">63 (55-68)</td>
              <td align="center" valign="top">65 (58-69)</td>
              <td align="center" valign="top">0,2197</td>
              <td align="center" valign="top">64 (57-68)</td>
              <td align="center" valign="top">66 (62-70)</td>
              <td align="center" valign="top">0,0829</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>Sexo feminino (n, %)</bold>
              </td>
              <td align="center" valign="middle">96 (84)</td>
              <td align="center" valign="middle">67 (81,7)</td>
              <td align="center" valign="middle">28 (90,3)</td>
              <td align="center" valign="middle">0,4074</td>
              <td align="center" valign="middle">45 (77,6)</td>
              <td align="center" valign="middle">25 (92,6)</td>
              <td align="center" valign="middle">0,1286</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>Hipertens&#227;o (n, %)</bold>
              </td>
              <td align="center" valign="middle">101 (88,6)</td>
              <td align="center" valign="middle">70 (85,4)</td>
              <td align="center" valign="middle">30 (96,8)</td>
              <td align="center" valign="middle">0,1721</td>
              <td align="center" valign="middle">51 (87,9)</td>
              <td align="center" valign="middle">27 (100)</td>
              <td align="center" valign="middle">0,0916</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>DCV (n, %)</bold>
              </td>
              <td align="center" valign="middle">14 (12,3)</td>
              <td align="center" valign="middle">11 (13,4)</td>
              <td align="center" valign="middle">3 (9,7)</td>
              <td align="center" valign="middle">0,8274</td>
              <td align="center" valign="middle">8 (13,8)</td>
              <td align="center" valign="middle">3 (11,1)</td>
              <td align="center" valign="middle">0,0777</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>DAP (n, %)</bold>
              </td>
              <td align="center" valign="middle">7 (6,1)</td>
              <td align="center" valign="middle">3 (3,7)</td>
              <td align="center" valign="middle">4 (12,9)</td>
              <td align="center" valign="middle">0,8273</td>
              <td align="center" valign="middle">2 (3,5)</td>
              <td align="center" valign="middle">4 (14,8)</td>
              <td align="center" valign="middle">0,1471</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>Dislipidemia (n, %)</bold>
              </td>
              <td align="center" valign="middle">96 (84,2)</td>
              <td align="center" valign="middle">70 (85,4)</td>
              <td align="center" valign="middle">25 (80,6)</td>
              <td align="center" valign="middle">0,7461</td>
              <td align="center" valign="middle">52 (89,7)</td>
              <td align="center" valign="middle">23 (85,2)</td>
              <td align="center" valign="middle">0,7189</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>Pr&#233;-DM2 (n, %)</bold>
              </td>
              <td align="center" valign="middle">19 (16,7)</td>
              <td align="center" valign="middle">17 (20,7)</td>
              <td align="center" valign="middle">2 (6,5)</td>
              <td align="center" valign="middle">0,1262</td>
              <td align="center" valign="middle">-</td>
              <td align="center" valign="middle">-</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>DM2 (n, %)</bold>
              </td>
              <td align="center" valign="middle">86 (75,4)</td>
              <td align="center" valign="middle">58 (70,7)</td>
              <td align="center" valign="middle">27 (87,1)</td>
              <td align="center" valign="middle">0,1203</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">
                <bold>Sobrepeso (n, %)</bold>
              </td>
              <td align="center" valign="middle">26 (22,8)</td>
              <td align="center" valign="middle">22 (26,8)</td>
              <td align="center" valign="middle">4 (12,9)</td>
              <td align="center" valign="middle">0,1872</td>
              <td align="center" valign="middle">17 (29,3)</td>
              <td align="center" valign="middle">3 (11,1)</td>
              <td align="center" valign="middle">0,0985</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>Obesidade (n, %)</bold>
              </td>
              <td align="center" valign="middle">65 (57,0)</td>
              <td align="center" valign="middle">45 (54,9)</td>
              <td align="center" valign="middle">20 (64,5)</td>
              <td align="center" valign="middle">0,1805</td>
              <td align="center" valign="middle">27 (46,6)</td>
              <td align="center" valign="middle">18 (66,7)</td>
              <td align="center" valign="middle">0,1047</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>SM IDF (n, %)</bold>
              </td>
              <td align="center" valign="middle">71 (62,3)</td>
              <td align="center" valign="middle">50 (61)</td>
              <td align="center" valign="middle">20 (64,5)</td>
              <td align="center" valign="middle">0,8976</td>
              <td align="center" valign="middle">35 (60,3)</td>
              <td align="center" valign="middle">19 (70,4)</td>
              <td align="center" valign="middle">0,4702</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>Uso de estatina (n, %)</bold>
              </td>
              <td align="center" valign="middle">96 (85)</td>
              <td align="center" valign="middle">69 (85,2)</td>
              <td align="center" valign="middle">26 (83,9)</td>
              <td align="center" valign="middle">1</td>
              <td align="center" valign="middle">50 (86,2)</td>
              <td align="center" valign="middle">24 (88,9)</td>
              <td align="center" valign="middle">1</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>Menopausa (n, %)</bold>
              </td>
              <td align="center" valign="middle">85 (90,4)</td>
              <td align="center" valign="middle">59 (89,4)</td>
              <td align="center" valign="middle">25 (92,6)</td>
              <td align="center" valign="middle">0,9305</td>
              <td align="center" valign="middle">40 (90,9)</td>
              <td align="center" valign="middle">23 (95,8)</td>
              <td align="center" valign="middle">0,6493</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>Tabagismo (n, %)</bold>
              </td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" rowspan="4" valign="middle">0,9931</td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" rowspan="4" valign="middle">0,8234</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">Nunca fumou</td>
              <td align="center" valign="middle">76 (66,7)</td>
              <td align="center" valign="middle">55 (67,1)</td>
              <td align="center" valign="middle">21 (67,7)</td>
              <td align="center" valign="middle">39 (67,2)</td>
              <td align="center" valign="middle">17 (63)</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">Fumante atual</td>
              <td align="center" valign="middle">4 (3,5)</td>
              <td align="center" valign="middle">3 (3,7)</td>
              <td align="center" valign="middle">1 (3,2)</td>
              <td align="center" valign="middle">1 (1,7)</td>
              <td align="center" valign="middle">1 (3,7)</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">Ex-fumante</td>
              <td align="center" valign="middle">34 (29,8)</td>
              <td align="center" valign="middle">24 (29,3)</td>
              <td align="center" valign="middle">9 (29,0)</td>
              <td align="center" valign="middle">18 (31,0)</td>
              <td align="center" valign="middle">9 (33,3)</td>
            </tr>
            <tr>
              <td align="left" colspan="8" valign="middle">
                <bold>Atividade f&#237;sica (n, %)</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle">Sedent&#225;rio</td>
              <td align="center" valign="middle">81 (71,1)</td>
              <td align="center" valign="middle">55 (67,1)</td>
              <td align="center" valign="middle">25 (80,6)</td>
              <td align="center" rowspan="3" valign="middle">0,1270</td>
              <td align="center" valign="middle">37 (63,8)</td>
              <td align="center" valign="middle">23 (85,2)</td>
              <td align="center" rowspan="3" valign="middle">0,0585</td>
            </tr>
            <tr>
              <td align="left" valign="middle">&gt;150 min/sem</td>
              <td align="center" valign="middle">22 (19,3)</td>
              <td align="center" valign="middle">18 (22)</td>
              <td align="center" valign="middle">4 (12,9)</td>
              <td align="center" valign="middle">13 (22,4)</td>
              <td align="center" valign="middle">2 (7,4)</td>
            </tr>
            <tr>
              <td align="left" valign="middle">&lt; 150 min/sem</td>
              <td align="center" valign="middle">10 (8,8)</td>
              <td align="center" valign="middle">9 (11)</td>
              <td align="center" valign="middle">1 (3,2)</td>
              <td align="center" valign="middle">8 (13,8)</td>
              <td align="center" valign="middle">1 (3,7)</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>Microalbumin&#250;ria (n, %)</bold>
              </td>
              <td align="center" valign="middle">9 (7,9)</td>
              <td align="center" valign="middle">4 (4,9)</td>
              <td align="center" valign="middle">5 (16,1)</td>
              <td align="center" valign="middle">0,1137</td>
              <td align="center" valign="middle">4 (6,9)</td>
              <td align="center" valign="middle">5 (18,5)</td>
              <td align="center" valign="middle">0,1351</td>
            </tr>
            <tr>
              <td align="left" colspan="8" valign="middle">
                <bold>Retinopatias (n, %)</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle">RCV (n, %):</td>
              <td align="center" valign="middle">4 (3,5)</td>
              <td align="center" valign="middle">2 (2,4)</td>
              <td align="center" valign="middle">2 (6,5)</td>
              <td align="center" rowspan="4" valign="middle">0,5861</td>
              <td align="center" valign="middle">0 (0)</td>
              <td align="center" valign="middle">0 (0)</td>
              <td align="center" rowspan="4" valign="middle">0,9468</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Baixo</td>
              <td align="center" valign="middle">7 (6,1)</td>
              <td align="center" valign="middle">4 (4,9)</td>
              <td align="center" valign="middle">3 (9,7)</td>
              <td align="center" valign="middle">3 (8,6)</td>
              <td align="center" valign="middle">1 (3,7)</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Moderado</td>
              <td align="center" valign="middle">89 (78,1)</td>
              <td align="center" valign="middle">65 (79,3)</td>
              <td align="center" valign="middle">23 (74,2)</td>
              <td align="center" valign="middle">47 (81,0)</td>
              <td align="center" valign="middle">23 (85,2)</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Alto</td>
              <td align="center" valign="middle">12 (10,5)</td>
              <td align="center" valign="middle">9 (11)</td>
              <td align="center" valign="middle">3 (9,7)</td>
              <td align="center" valign="middle">6 (10,3)</td>
              <td align="center" valign="middle">3 (11,1)</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Muito alto</td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle"/>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN1">
            <p>Os valores s&#227;o expressos como m&#233;dia e desvio padr&#227;o para dados com distribui&#231;&#227;o normal, e como mediana e intervalo interquartil para dados com distribui&#231;&#227;o n&#227;o normal. DAP: doen&#231;a arterial perif&#233;rica; DCV: doen&#231;a cardiovascular; DM2: diabetes mellitus tipo 2; IDF: Federa&#231;&#227;o Internacional de Diabetes; IMC: &#237;ndice de massa corporal; RCV: risco cardiovascular; SM: s&#237;ndrome metab&#243;lica.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>A <xref ref-type="table" rid="t2">Tabela 2</xref> apresenta os dados do exame f&#237;sico, das medidas antropom&#233;tricas e dos exames laboratoriais. A mediana da circunfer&#234;ncia abdominal (CA) foi de 105 cm (IIQ: 94&#8211;114), e da circunfer&#234;ncia do quadril (CQ), de 106 cm (IIQ: 97&#8211;114). O IMC mediano foi de 31,62 kg/m<sup>2</sup>. Participantes com fibrose hep&#225;tica apresentaram CA mais elevada, bem como n&#237;veis aumentados de gama-glutamiltransferase (GGT), alanina aminotransferase (ALT) e aspartato aminotransferase (AST).</p>
      <table-wrap id="t2">
        <label>Tabela 2</label>
        <caption>
          <title>Exame f&#237;sico, dados antropom&#233;tricos e laboratoriais</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup width="12%">
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#76B4CF;">
              <th align="left" valign="middle">Vari&#225;vel</th>
              <th align="center" valign="middle">Popula&#231;&#227;o geral (n=114)</th>
              <th align="center" valign="middle">Sem fibrose (n=82)</th>
              <th align="center" valign="middle">Com fibrose (n=31)</th>
              <th align="center" valign="middle">Valor p</th>
              <th align="center" valign="middle">DM2 sem fibrose (n=58)</th>
              <th align="center" valign="middle">DM2 com fibrose (n=27)</th>
              <th align="center" valign="middle">Valor p</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">
                <bold>PAS (mmHg)</bold>
              </td>
              <td align="center" valign="middle">130 (128-150)</td>
              <td align="center" valign="middle">130 (130-141)</td>
              <td align="center" valign="middle">130 (121-155)</td>
              <td align="center" valign="middle">0,8729</td>
              <td align="center" valign="middle">130 (130-144)</td>
              <td align="center" valign="middle">130 (123-160)</td>
              <td align="center" valign="middle">0,9133</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>PAD (mmHg)</bold>
              </td>
              <td align="center" valign="middle">80 (76-90)</td>
              <td align="center" valign="middle">80 (76 - 90)</td>
              <td align="center" valign="middle">80 (79 - 90)</td>
              <td align="center" valign="middle">0,7163</td>
              <td align="center" valign="middle">80 (73-90)</td>
              <td align="center" valign="middle">80 (79-90)</td>
              <td align="center" valign="middle">0,2349</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>CP (cm)</bold>
              </td>
              <td align="center" valign="middle">37 (35-41)</td>
              <td align="center" valign="middle">36 (34-41)</td>
              <td align="center" valign="middle">40 (35-42)</td>
              <td align="center" valign="middle">0,1187</td>
              <td align="center" valign="middle">37 (34-42)</td>
              <td align="center" valign="middle">40 (35-42)</td>
              <td align="center" valign="middle">0,1771</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>RCEst (cm)</bold>
              </td>
              <td align="center" valign="middle">0,67 (0,59-0,73)</td>
              <td align="center" valign="middle">0,65 (0,59-0,73)</td>
              <td align="center" valign="middle">0,67 (0,64-0,73)</td>
              <td align="center" valign="middle">0,1579</td>
              <td align="center" valign="middle">0,64 (0,58-0,72)</td>
              <td align="center" valign="middle">0,67 (0,64-0,73)</td>
              <td align="center" valign="middle">0,0897</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>CA (cm)</bold>
              </td>
              <td align="center" valign="middle">105 (94-114)</td>
              <td align="center" valign="middle">103,50 &#177; 10,02</td>
              <td align="center" valign="middle">111,40 &#177; 10,02</td>
              <td align="center" valign="middle">0,0477</td>
              <td align="center" valign="middle">102,20 &#177; 10,02</td>
              <td align="center" valign="middle">107,50 &#177; 10,02</td>
              <td align="center" valign="middle">0,0230</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>Quadril (cm)</bold>
              </td>
              <td align="center" valign="middle">106 (97-114)</td>
              <td align="center" valign="middle">106 (96-114)</td>
              <td align="center" valign="middle">110 (105-120)</td>
              <td align="center" valign="middle">0,0682</td>
              <td align="center" valign="middle">101 (95-112)</td>
              <td align="center" valign="middle">109 (104-118)</td>
              <td align="center" valign="middle">0,0352</td>
            </tr>
            <tr>
              <td align="left" valign="middle"><bold>IMC (kg/m</bold><sup>2</sup>)</td>
              <td align="center" valign="middle">31,62 (28,16-36,06)</td>
              <td align="center" valign="middle">10,96 &#177; 5,01</td>
              <td align="center" valign="middle">11,88 &#177; 5,01</td>
              <td align="center" valign="middle">0,3284</td>
              <td align="center" valign="middle">31,03 &#177; 5,61</td>
              <td align="center" valign="middle">33,23 &#177; 5,61</td>
              <td align="center" valign="middle">0,112</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>ALB (g/dl)</bold>
              </td>
              <td align="center" valign="middle">4,4 (4,2-4,7)</td>
              <td align="center" valign="middle">4,44 &#177; 0,27</td>
              <td align="center" valign="middle">4,36 &#177; 0,27</td>
              <td align="center" valign="middle">0,3374</td>
              <td align="center" valign="middle">4,45 &#177; 0,27</td>
              <td align="center" valign="middle">4,35 &#177; 0,27</td>
              <td align="center" valign="middle">0,1619</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>GGT (u/l)</bold>
              </td>
              <td align="center" valign="middle">33 (25-56)</td>
              <td align="center" valign="middle">32 (24-44)</td>
              <td align="center" valign="middle">54 (29-78)</td>
              <td align="center" valign="middle">0,0035</td>
              <td align="center" valign="middle">29 (24-44)</td>
              <td align="center" valign="middle">54 (30-76)</td>
              <td align="center" valign="middle">0,0048</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>ALT (u/l)</bold>
              </td>
              <td align="center" valign="middle">22 (16-30)</td>
              <td align="center" valign="middle">20 (15-26)</td>
              <td align="center" valign="middle">29 (19-46)</td>
              <td align="center" valign="middle">0,0025</td>
              <td align="center" valign="middle">20 (15-26)</td>
              <td align="center" valign="middle">29 (18-44)</td>
              <td align="center" valign="middle">0,0082</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>AST (u/l)</bold>
              </td>
              <td align="center" valign="middle">22 (18-30)</td>
              <td align="center" valign="middle">20 (17-27)</td>
              <td align="center" valign="middle">31 (22-41)</td>
              <td align="center" valign="middle">0,0002</td>
              <td align="center" valign="middle">19 (16-25)</td>
              <td align="center" valign="middle">28 (20-38)</td>
              <td align="center" valign="middle">0,0012</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>BT (mg/dl)</bold>
              </td>
              <td align="center" valign="middle">0,39 (0,28-0,53)</td>
              <td align="center" valign="middle">0,37 (0,27-0,53)</td>
              <td align="center" valign="middle">0,43 (0,30-0,53)</td>
              <td align="center" valign="middle">0,5560</td>
              <td align="center" valign="middle">0,34 (0,27-0,53)</td>
              <td align="center" valign="middle">0,40 (0,30-0,50)</td>
              <td align="center" valign="middle">0,6894</td>
            </tr>
            <tr>
              <td align="left" valign="middle"><bold>TFGe (ml/min/1.73m</bold><sup>2</sup>)</td>
              <td align="center" valign="middle">86,80 (73,62-97,12)</td>
              <td align="center" valign="middle">85,22 &#177; 21,99</td>
              <td align="center" valign="middle">86,48 &#177; 21,99</td>
              <td align="center" valign="middle">0,6640</td>
              <td align="center" valign="middle">84,77 &#177; 21,99</td>
              <td align="center" valign="middle">82,58 &#177; 21,99</td>
              <td align="center" valign="middle">0,6294</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>PCR (mg/dl)</bold>
              </td>
              <td align="center" valign="middle">0,5 (0,3-0,9)</td>
              <td align="center" valign="middle">0,43 (0,2-0,7)</td>
              <td align="center" valign="middle">0,57 (0,4-1,2)</td>
              <td align="center" valign="middle">0,0927</td>
              <td align="center" valign="middle">0,4 (0,3-0,9)</td>
              <td align="center" valign="middle">0,6 (0,4-1,1)</td>
              <td align="center" valign="middle">0,2371</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>TSH (mU/l)</bold>
              </td>
              <td align="center" valign="middle">1,8 (1,2-3,5)</td>
              <td align="center" valign="middle">1,7 (1,1-3,2)</td>
              <td align="center" valign="middle">2,3 (1,4-3,8)</td>
              <td align="center" valign="middle">0,1774</td>
              <td align="center" valign="middle">1,6 (1,1-3,2)</td>
              <td align="center" valign="middle">2,1 (1,3-3,4)</td>
              <td align="center" valign="middle">0,4653</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>HbA1c (%)</bold>
              </td>
              <td align="center" valign="middle">6,9 (6,0-8,3)</td>
              <td align="center" valign="middle">6,6 (5,9-8,2)</td>
              <td align="center" valign="middle">7,1 (6,5-8,6)</td>
              <td align="center" valign="middle">0,0531</td>
              <td align="center" valign="middle">7,5 (6,4-8,6)</td>
              <td align="center" valign="middle">7,3 (6,7-9,0)</td>
              <td align="center" valign="middle">0,7742</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>CT (mg/dl)</bold>
              </td>
              <td align="center" valign="middle">168 (143-191)</td>
              <td align="center" valign="middle">169 (141-192)</td>
              <td align="center" valign="middle">166 (147-184)</td>
              <td align="center" valign="middle">0,9939</td>
              <td align="center" valign="middle">165 (139-192)</td>
              <td align="center" valign="middle">166 (147-193)</td>
              <td align="center" valign="middle">0,7159</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>LDL-c (mg/dl)</bold>
              </td>
              <td align="center" valign="middle">95 (75-123)</td>
              <td align="center" valign="middle">96 (73-126)</td>
              <td align="center" valign="middle">94 (77-112)</td>
              <td align="center" valign="middle">0,6677</td>
              <td align="center" valign="middle">86 (72-126)</td>
              <td align="center" valign="middle">94 (75-112)</td>
              <td align="center" valign="middle">0,9847</td>
            </tr>
            <tr>
              <td align="left" valign="middle">
                <bold>HDL-c (mg/dl)</bold>
              </td>
              <td align="center" valign="middle">44 (38-53)</td>
              <td align="center" valign="middle">44 (38-53)</td>
              <td align="center" valign="middle">45 (38-51)</td>
              <td align="center" valign="middle">0,9222</td>
              <td align="center" valign="middle">86 (72-126)</td>
              <td align="center" valign="middle">45 (38-51)</td>
              <td align="center" valign="middle">0,8032</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>TG (mg/dl)</bold>
              </td>
              <td align="center" valign="middle">131 (92-179)</td>
              <td align="center" valign="middle">135 (92-179)</td>
              <td align="center" valign="middle">129 (99-175)</td>
              <td align="center" valign="middle">0,9948</td>
              <td align="center" valign="middle">129 (93-178)</td>
              <td align="center" valign="middle">145 (103-185)</td>
              <td align="center" valign="middle">0,4995</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN2">
            <p>Os valores s&#227;o expressos como m&#233;dia e desvio padr&#227;o para dados com distribui&#231;&#227;o normal e como mediana e intervalo interquartil para dados com distribui&#231;&#227;o n&#227;o normal. AC: circunfer&#234;ncia abdominal; ALB: albumina; ALT: alanina aminotransferase; AST: aspartato aminotransferase; BT: bilirrubina total; CA: circunfer&#234;ncia abdominal; CP: circunfer&#234;ncia do pesco&#231;o; CT: colesterol total; GGT: gama-glutamiltransferase; HbA1c: hemoglobina glicada; HDL-c: colesterol de lipoprote&#237;na de alta densidade; IMC: &#237;ndice de massa corporal; LDL-c: colesterol de lipoprote&#237;na de baixa densidade; PAD: press&#227;o arterial diast&#243;lica; PAS: press&#227;o arterial sist&#243;lica; PCR: prote&#237;na C reativa; RCEst: raz&#227;o cintura-estatura; TFGe: taxa de filtra&#231;&#227;o glomerular estimada; TG: triglicer&#237;deos; TSH: horm&#244;nio estimulador da tireoide.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>A esteatose hep&#225;tica foi observada em 99 participantes (86,8%), e a fibrose hep&#225;tica esteve presente em 31 participantes (27,2%). Em um participante com DM2, n&#227;o foi poss&#237;vel realizar a elastografia hep&#225;tica devido ao biotipo corporal. Embora os valores medianos do CAP tenham sido mais elevados no grupo com fibrose (322 dB/m vs. 292 dB/m), a diferen&#231;a na gravidade da esteatose entre os grupos n&#227;o foi estatisticamente significativa. No subgrupo com DM2, a diferen&#231;a nos valores de CAP entre os grupos foi ainda maior (325 dB/m vs. 290 dB/m), mas tamb&#233;m sem signific&#226;ncia estat&#237;stica (<xref ref-type="table" rid="t3">Tabela 3</xref>).</p>
      <table-wrap id="t3">
        <label>Tabela 3</label>
        <caption>
          <title>Exames de imagem hep&#225;tica</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup width="12%">
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#76B4CF;">
              <th align="left" valign="middle">Vari&#225;vel</th>
              <th align="center" valign="middle">Popula&#231;&#227;o geral (n=114)</th>
              <th align="center" valign="middle">Sem fibrose (n=82)</th>
              <th align="center" valign="middle">Com fibrose (n=31)</th>
              <th align="center" valign="middle">Valor p</th>
              <th align="center" valign="middle">DM2 sem fibrose (n=58)</th>
              <th align="center" valign="middle">DM2 com fibrose (n=27)</th>
              <th align="center" valign="middle">Valor p</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">
                <bold>Esteatose (n, %)</bold>
              </td>
              <td align="center" valign="middle">99 (86,8)</td>
              <td align="center" valign="middle">70 (85,4)</td>
              <td align="center" valign="middle">28 (90,3)</td>
              <td align="center" valign="middle">0,7023</td>
              <td align="center" valign="middle">49 (84,5)</td>
              <td align="center" valign="middle">24 (88,9)</td>
              <td align="center" valign="middle">0,1052</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="8" valign="middle">
                <bold>Grau de esteatose (n, %)</bold>
              </td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">Ausente</td>
              <td align="center" valign="middle">15 (13,2)</td>
              <td align="center" valign="middle">12 (14,6)</td>
              <td align="center" valign="middle">3 (9,7)</td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle">9 (15,5)</td>
              <td align="center" valign="middle">3 (11,1)</td>
              <td align="center" valign="middle"/>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">Leve</td>
              <td align="center" valign="middle">22 (19,3)</td>
              <td align="center" valign="middle">18 (22)</td>
              <td align="center" valign="middle">3 (9,7)</td>
              <td align="center" valign="middle">0,2612</td>
              <td align="center" valign="middle">13 (22,4)</td>
              <td align="center" valign="middle">2 (7,4)</td>
              <td align="center" valign="middle">0,1665</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">Moderada</td>
              <td align="center" valign="middle">33 (28,9)</td>
              <td align="center" valign="middle">24 (29,3)</td>
              <td align="center" valign="middle">9 (29,0)</td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle">17 (29,3)</td>
              <td align="center" valign="middle">7 (25,9)</td>
              <td align="center" valign="middle"/>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">Acentuada</td>
              <td align="center" valign="middle">44 (38,6)</td>
              <td align="center" valign="middle">28 (34,1)</td>
              <td align="center" valign="middle">16 (51,6)</td>
              <td align="center" valign="middle"/>
              <td align="center" valign="middle">19 (32,8)</td>
              <td align="center" valign="middle">15 55,6)</td>
              <td align="center" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"><bold>Esteatose hep&#225;tica (FLI</bold> &#8805; <bold>60) (n, %)</bold></td>
              <td align="center" valign="middle">59 (51,8)</td>
              <td align="center" valign="middle">38 (46,3)</td>
              <td align="center" valign="middle">21 (67,7)</td>
              <td align="center" valign="middle">0,1881</td>
              <td align="center" valign="middle">27 (46,6)</td>
              <td align="center" valign="middle">18 (31,0)</td>
              <td align="center" valign="middle">0,0651</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">
                <bold>CAP</bold>
              </td>
              <td align="center" valign="middle">300 (259,8-342)</td>
              <td align="center" valign="middle">292 (259-341)</td>
              <td align="center" valign="middle">322 (267-342)</td>
              <td align="center" valign="middle">0,5775</td>
              <td align="center" valign="middle">290 (259-347)</td>
              <td align="center" valign="middle">325 (271-342)</td>
              <td align="center" valign="middle">0,3488</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN3">
            <p>Os valores s&#227;o expressos como m&#233;dia e desvio padr&#227;o para dados com distribui&#231;&#227;o normal, e como mediana e intervalo interquartil para dados com distribui&#231;&#227;o n&#227;o normal. CAP: par&#226;metro de atenua&#231;&#227;o controlada; FLI: &#237;ndice de gordura no f&#237;gado; DM2: diabetes mellitus tipo 2.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>A ultrassonografia carot&#237;dea revelou uma mediana de IV de 65 anos (IIQ: 53&#8211;79), e placas ateroscler&#243;ticas foram detectadas em 33 participantes (28,9%). N&#227;o houve diferen&#231;a significativa na frequ&#234;ncia de placas entre os participantes com e sem fibrose. Embora o grupo com fibrose tenha apresentado m&#233;dia total da EMIC (MT EMIC) mais elevada, essa diferen&#231;a n&#227;o foi estatisticamente significativa. No entanto, a IV em rela&#231;&#227;o &#224; idade cronol&#243;gica foi maior no grupo com fibrose, com uma diferen&#231;a de 8 anos em compara&#231;&#227;o ao grupo sem fibrose (<xref ref-type="table" rid="t4">Tabela 4</xref>).</p>
      <table-wrap id="t4">
        <label>Tabela 4</label>
        <caption>
          <title>Exame de imagem de car&#243;tidas</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup width="12%">
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#76B4CF;">
              <th align="left" valign="middle">Vari&#225;vel</th>
              <th align="center" valign="middle">Popula&#231;&#227;o geral (n=114)</th>
              <th align="center" valign="middle">Sem fibrose (n=82)</th>
              <th align="center" valign="middle">Com fibrose (n=31)</th>
              <th align="center" valign="middle">Valor p</th>
              <th align="center" valign="middle">DM2 sem fibrose (n=58)</th>
              <th align="center" valign="middle">DM2 com fibrose (n=27)</th>
              <th align="center" valign="middle">Valor p</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">MT EMIC (mm)</td>
              <td align="center" valign="middle">0,665 (0,580-0,770)</td>
              <td align="center" valign="middle">0,66 &#177; 0,15</td>
              <td align="center" valign="middle">0,72 &#177; 0,15</td>
              <td align="center" valign="middle">0,0508</td>
              <td align="center" valign="middle">0,653 (0,565-0,768)</td>
              <td align="center" valign="middle">0,742 (0,646-0,819)</td>
              <td align="center" valign="middle">0,0357</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">MR EMIC (mm)</td>
              <td align="center" valign="middle">0,660 (0,570-0,790)</td>
              <td align="center" valign="middle">0,645 (0,550-0,765)</td>
              <td align="center" valign="middle">0,700 (0,620-0,800)</td>
              <td align="center" valign="middle">0,0948</td>
              <td align="center" valign="middle">0,655 (0,550-0,770)</td>
              <td align="center" valign="middle">0,740 (0,650-0,805)</td>
              <td align="center" valign="middle">0,0463</td>
            </tr>
            <tr>
              <td align="left" valign="middle">ML EMIC (mm)</td>
              <td align="center" valign="middle">0,665 (0,580-0,770)</td>
              <td align="center" valign="middle">0,650 (0,570-0,758)</td>
              <td align="center" valign="middle">0,710 (0,590-0,840)</td>
              <td align="center" valign="middle">0,0610</td>
              <td align="center" valign="middle">0,670 (0,570-0,768)</td>
              <td align="center" valign="middle">0,730 (0,630-0,855)</td>
              <td align="center" valign="middle">0,0456</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">Placa (n, %)</td>
              <td align="center" valign="middle">33 (28,9%)</td>
              <td align="center" valign="middle">22 (26,8%)</td>
              <td align="center" valign="middle">10 (32,3%)</td>
              <td align="center" valign="middle">0,7357</td>
              <td align="center" valign="middle">17 (29,3%)</td>
              <td align="center" valign="middle">10 (37,0%)</td>
              <td align="center" valign="middle">0,6173</td>
            </tr>
            <tr>
              <td align="left" valign="middle">EMIC &gt; p75 (n, %)</td>
              <td align="center" valign="middle">42 (36,8%)</td>
              <td align="center" valign="middle">29 (35,4%)</td>
              <td align="center" valign="middle">13 (41,9%)</td>
              <td align="center" valign="middle">0,0508</td>
              <td align="center" valign="middle">15 (25,9%)</td>
              <td align="center" valign="middle">12 (44,4%)</td>
              <td align="center" valign="middle">0,4834</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">IV (anos)</td>
              <td align="center" valign="middle">65 (53&#8211;79)</td>
              <td align="center" valign="middle">67,18 &#177; 17,52</td>
              <td align="center" valign="middle">73,80 &#177; 17,52</td>
              <td align="center" valign="middle">0,1365</td>
              <td align="center" valign="middle">69,59 &#177; 17,52</td>
              <td align="center" valign="middle">73,08 &#177; 17,52</td>
              <td align="center" valign="middle">0,0240</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN4">
            <p>Os valores s&#227;o expressos como m&#233;dia e desvio padr&#227;o para dados com distribui&#231;&#227;o normal, e como mediana e intervalo interquartil para dados com distribui&#231;&#227;o n&#227;o normal. EMIC: espessura m&#233;dio-intimal da car&#243;tida; ML EMIC: EMIC m&#233;dia da car&#243;tida comum esquerda; MR EMIC: EMIC m&#233;dia da car&#243;tida comum direita; MT EMIC: EMIC m&#233;dia total da car&#243;tida comum; DM2: diabetes mellitus tipo 2; IV: idade vascular.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Foi realizada uma suban&#225;lise com 85 participantes com DM2, com idade mediana de 64 anos, dos quais 70 (82,3%) eram mulheres. Participantes com DM2 e fibrose hep&#225;tica apresentaram n&#237;veis mais elevados de GGT e transaminases, bem como maior circunfer&#234;ncia do quadril (<xref ref-type="table" rid="t2">Tabela 2</xref>). A esteatose hep&#225;tica esteve presente em 73 participantes (85,9%) e a fibrose hep&#225;tica em 27 (31,8%) (<xref ref-type="table" rid="t3">Tabela 3</xref>).</p>
      <p>Nesta suban&#225;lise, os participantes com DM2 e fibrose apresentaram IV e MT EMIC mais elevadas em compara&#231;&#227;o &#224;queles sem fibrose (<xref ref-type="table" rid="t4">Tabela 4</xref>). A IV em rela&#231;&#227;o &#224; idade cronol&#243;gica foi 9 anos maior no grupo com fibrose. N&#227;o houve diferen&#231;a significativa na frequ&#234;ncia de placas ateroscler&#243;ticas entre os grupos (<xref ref-type="table" rid="t4">Tabela 4</xref>).</p>
      <p>N&#227;o foram encontradas correla&#231;&#245;es significativas entre a MT EMIC e FLI, CAP, GGT, CA, CP ou RCEst. No subgrupo com DM2, observou-se uma correla&#231;&#227;o negativa fraca, por&#233;m estatisticamente significativa, entre a MT EMIC e o FLI. Nenhuma outra correla&#231;&#227;o significativa foi identificada. Os resultados detalhados est&#227;o apresentados na <xref ref-type="table" rid="t5">Tabela 5</xref>.</p>
      <table-wrap id="t5">
        <label>Tabela 5</label>
        <caption>
          <title>Correla&#231;&#227;o entre MT-EMIC e vari&#225;veis metab&#243;licas na popula&#231;&#227;o geral e no grupo com DM2</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup width="20%">
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#76B4CF;">
              <th align="left" rowspan="2" valign="middle">Vari&#225;vel</th>
              <th align="center" style="border-bottom: thin solid; border-color: #000000" valign="middle">Popula&#231;&#227;o geral (n = 114)</th>
              <th align="center" rowspan="2" valign="middle">Valor p</th>
              <th align="center" style="border-bottom: thin solid; border-color: #000000" valign="middle">DM2 (n = 85)</th>
              <th align="center" rowspan="2" valign="middle">Valor p</th>
            </tr>
            <tr style="background-color:#76B4CF;">
              <th align="center" valign="middle">r</th>
              <th align="center" valign="middle">r</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">FLI</td>
              <td align="center" valign="middle">&#8211;0,1483</td>
              <td align="center" valign="middle">0,1629</td>
              <td align="center" valign="middle">&#8211;0,2547</td>
              <td align="center" valign="middle">0,0375</td>
            </tr>
            <tr>
              <td align="left" valign="middle">CAP</td>
              <td align="center" valign="middle">&#8211;0,1009</td>
              <td align="center" valign="middle">0,2986</td>
              <td align="center" valign="middle">&#8211;0,1243</td>
              <td align="center" valign="middle">0,2658</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">GGT</td>
              <td align="center" valign="middle">0,0015</td>
              <td align="center" valign="middle">0,9875</td>
              <td align="center" valign="middle">0,1021</td>
              <td align="center" valign="middle">0,3740</td>
            </tr>
            <tr>
              <td align="left" valign="middle">CA</td>
              <td align="center" valign="middle">&#8211;0,0462</td>
              <td align="center" valign="middle">0,6350</td>
              <td align="center" valign="middle">&#8211;0,0444</td>
              <td align="center" valign="middle">0,6956</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">CP</td>
              <td align="center" valign="middle">&#8211;0,0657</td>
              <td align="center" valign="middle">0,4970</td>
              <td align="center" valign="middle">&#8211;0,0229</td>
              <td align="center" valign="middle">0,8389</td>
            </tr>
            <tr>
              <td align="left" valign="middle">RCEst</td>
              <td align="center" valign="middle">0,1200</td>
              <td align="center" valign="middle">0,2138</td>
              <td align="center" valign="middle">0,0563</td>
              <td align="center" valign="middle">0,6177</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN5">
            <p>CA: circunfer&#234;ncia abdominal; CAP: par&#226;metro de atenua&#231;&#227;o controlada; CP: circunfer&#234;ncia do pesco&#231;o; DM2: diabetes mellitus tipo 2; EMIC: espessura m&#233;dio-intimal da car&#243;tida; FLI: &#237;ndice de f&#237;gado gorduroso; GGT: gama-glutamiltransferase; RCEst: raz&#227;o cintura-estatura; r: coeficiente de correla&#231;&#227;o de Pearson; p: n&#237;vel de signific&#226;ncia (valores p &lt; 0,05 foram considerados estatisticamente significativos).</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discuss&#227;o</title>
      <p>A DCV acomete quase metade dos indiv&#237;duos com DHEADM, sendo a aterosclerose carot&#237;dea relatada em aproximadamente 35% dos participantes com doen&#231;a hep&#225;tica esteat&#243;tica.<sup><xref ref-type="bibr" rid="B24">24</xref></sup></p>
      <p>Neste estudo prospectivo, avaliou-se a rela&#231;&#227;o entre DHEADM e aterosclerose subcl&#237;nica utilizando a EMIC, a IV e a presen&#231;a de placas ateroscler&#243;ticas carot&#237;deas como marcadores preditivos. Esses dados ainda s&#227;o escassos na literatura brasileira. Ademais, at&#233; onde se tem conhecimento, este &#233; o primeiro estudo realizado em uma popula&#231;&#227;o brasileira com DHEADM a avaliar a IV com base na EMIC.</p>
      <p>Entre os 114 participantes com risco para DHEADM, recrutados em um ambulat&#243;rio de endocrinologia, 86,8% foram diagnosticados com esteatose hep&#225;tica e 27,2% com fibrose hep&#225;tica. Na popula&#231;&#227;o geral, a preval&#234;ncia de esteatose varia entre 30% e 40%, enquanto a fibrose hep&#225;tica acomete aproximadamente 5% a 10%.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> A maior preval&#234;ncia observada no presente estudo pode ser explicada pelas caracter&#237;sticas da amostra, que incluiu elevada propor&#231;&#227;o de participantes com DM2 (75,4%), fator de risco reconhecido tanto para esteatose quanto para fibrose.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> Al&#233;m disso, uma parcela substancial da popula&#231;&#227;o estudada era composta por mulheres p&#243;s-menop&#225;usicas, grupo no qual a rela&#231;&#227;o entre fibrose hep&#225;tica e DCV permanece pouco explorada.<sup><xref ref-type="bibr" rid="B25">25</xref></sup></p>
      <p>A gravidade da DHEADM est&#225; associada ao aumento do risco de aterosclerose e mortalidade,<sup><xref ref-type="bibr" rid="B12">12</xref></sup> sendo os pacientes com DM2 um subgrupo particularmente vulner&#225;vel.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> No entanto, diversos fatores de risco s&#227;o compartilhados entre a DHEADM e a aterosclerose &#8212; como obesidade e SM &#8212;, podendo atuar como fatores de confus&#227;o. Neste estudo, n&#227;o foram observadas diferen&#231;as significativas nesses potenciais fatores de confus&#227;o ao comparar participantes com e sem fibrose hep&#225;tica, inclusive na suban&#225;lise do subgrupo com DM2. Os grupos foram semelhantes quanto &#224; preval&#234;ncia de obesidade e a outras medidas antropom&#233;tricas de adiposidade, com exce&#231;&#227;o da circunfer&#234;ncia do quadril, que foi maior em participantes diab&#233;ticos com fibrose. N&#227;o foram encontradas diferen&#231;as em rela&#231;&#227;o &#224; idade, sexo, tabagismo, par&#226;metros laboratoriais ou uso de estatinas.</p>
      <p>A gama-glutamiltransferase (GGT) &#233; uma enzima envolvida no sistema da glutationa, o qual atua como um dos principais mecanismos antioxidantes do organismo. N&#237;veis elevados de GGT em indiv&#237;duos com fibrose podem indicar a presen&#231;a de estresse oxidativo. De forma semelhante, o risco cardiovascular est&#225; relacionado ao estresse oxidativo e &#224; inflama&#231;&#227;o cr&#244;nica &#8212; ambos refletidos pelo aumento dos n&#237;veis de GGT. Assim, a GGT pode representar um biomarcador dispon&#237;vel, de baixo custo, e elevado tanto na fibrose hep&#225;tica quanto na DCV.<sup><xref ref-type="bibr" rid="B26">26</xref>,<xref ref-type="bibr" rid="B27">27</xref></sup></p>
      <p>O presente estudo n&#227;o demonstrou associa&#231;&#227;o significativa entre fibrose hep&#225;tica e a presen&#231;a de placas ateroscler&#243;ticas detectadas por ultrassonografia carot&#237;dea, achado consistente com resultados de outros estudos.<sup><xref ref-type="bibr" rid="B28">28</xref>-<xref ref-type="bibr" rid="B30">30</xref></sup> Por outro lado, alguns estudos pr&#233;vios relataram tal associa&#231;&#227;o. Essas discrep&#226;ncias podem ser explicadas por diferen&#231;as metodol&#243;gicas, bem como por caracter&#237;sticas cl&#237;nicas, &#233;tnicas e demogr&#225;ficas das popula&#231;&#245;es avaliadas, al&#233;m do tamanho amostral reduzido.<sup><xref ref-type="bibr" rid="B31">31</xref>-<xref ref-type="bibr" rid="B33">33</xref></sup></p>
      <p>Em nossa amostra, a maioria dos participantes era composta por mulheres, muitas das quais faziam uso de estatinas e apresentavam n&#237;veis de hemoglobina glicada pr&#243;ximos aos valores-alvo. Esses fatores foram semelhantes entre os grupos com e sem fibrose. Al&#233;m disso, os dados referentes &#224; popula&#231;&#227;o brasileira ainda s&#227;o escassos, uma vez que a maioria dos estudos se concentra em popula&#231;&#245;es asi&#225;ticas.<sup><xref ref-type="bibr" rid="B2">2</xref></sup></p>
      <p>A eleva&#231;&#227;o da EMIC &#233; um fator de risco independente para eventos cardiovasculares e cerebrovasculares.<sup><xref ref-type="bibr" rid="B8">8</xref></sup> Em nossa popula&#231;&#227;o, a EMIC foi avaliada e observou-se que foi mais elevada nos participantes com fibrose em compara&#231;&#227;o &#224;queles sem fibrose, especialmente no subgrupo com DM2.</p>
      <p>Alguns autores n&#227;o identificaram associa&#231;&#227;o entre DHEADM e aumento da EMIC, inclusive em estudos realizados com participantes com DM2.<sup><xref ref-type="bibr" rid="B30">30</xref>,<xref ref-type="bibr" rid="B33">33</xref>,<xref ref-type="bibr" rid="B34">34</xref></sup> Por outro lado, outros estudos demonstraram uma associa&#231;&#227;o positiva entre DHEADM e EMIC aumentada.<sup><xref ref-type="bibr" rid="B31">31</xref>,<xref ref-type="bibr" rid="B32">32</xref>,<xref ref-type="bibr" rid="B35">35</xref></sup></p>
      <p>A ultrassonografia de car&#243;tidas pode ser utilizada para avaliar a IV por meio de par&#226;metros como EMIC, distensibilidade carot&#237;dea e velocidade da onda de pulso (VOP). Cada uma dessas medidas fornece informa&#231;&#245;es relevantes sobre as condi&#231;&#245;es funcionais e estruturais das art&#233;rias, contribuindo para uma avalia&#231;&#227;o mais abrangente do envelhecimento vascular. Neste estudo, a IV foi superior &#224; idade cronol&#243;gica em participantes com fibrose hep&#225;tica, tanto na amostra total quanto no subgrupo com DM2 &#8212; com diferen&#231;a estatisticamente significativa neste &#250;ltimo (<xref ref-type="table" rid="t4">Tabela 4</xref>). Os participantes com DM2 e fibrose apresentaram IV nove anos maior do que a IC. Esse achado sugere uma poss&#237;vel associa&#231;&#227;o entre fibrose hep&#225;tica e envelhecimento cardiovascular acelerado em indiv&#237;duos com DM2. Um estudo longitudinal brasileiro conduzido com 291 pacientes com DM2 e DHEADM utilizou a VOP carot&#237;deo-femoral para avaliar a IV. O estudo demonstrou que o aumento da rigidez a&#243;rtica, ou sua progress&#227;o ao longo do tempo, foi preditor do desenvolvimento de fibrose hep&#225;tica avan&#231;ada.<sup><xref ref-type="bibr" rid="B36">36</xref></sup> Al&#233;m disso, outro estudo brasileiro evidenciou IV elevada em indiv&#237;duos com diabetes tipo 1 (DM1).<sup><xref ref-type="bibr" rid="B37">37</xref></sup> Tomados em conjunto, esses achados sugerem que o diabetes mellitus contribui para o aumento da IV, refletindo maior risco cardiovascular e disfun&#231;&#227;o endotelial.<sup><xref ref-type="bibr" rid="B37">37</xref></sup></p>
      <p>Zhou et al. (2018) demonstraram que a DHEADM est&#225; associada de forma independente a uma maior preval&#234;ncia de DCV em pacientes com DM2, e propuseram a DHEADM como fator de risco adicional para DCV nessa popula&#231;&#227;o.<sup><xref ref-type="bibr" rid="B38">38</xref></sup></p>
      <p>Uma metan&#225;lise recente com 7.951 participantes sob risco para DHEADM demonstrou que a preval&#234;ncia de aterosclerose carot&#237;dea variou de acordo com a regi&#227;o geogr&#225;fica, sendo mais alta na Europa (45%), seguida pela Am&#233;rica do Norte (41%), &#193;sia (36%) e, por fim, pelo Oriente M&#233;dio (19%).<sup><xref ref-type="bibr" rid="B24">24</xref></sup> Esses achados ressaltam a escassez de estudos com foco na popula&#231;&#227;o da Am&#233;rica Latina.</p>
      <p>Sinn et al. (2016) observaram que, entre indiv&#237;duos com DHEADM, a frequ&#234;ncia de placas carot&#237;deas foi maior naqueles com menor m&#233;dia de idade.<sup><xref ref-type="bibr" rid="B39">39</xref></sup> A associa&#231;&#227;o entre DHEADM e presen&#231;a de placas carot&#237;deas foi mais acentuada em adultos jovens do que em idosos. No entanto, os autores destacaram que a sensibilidade e a especificidade da DHEADM para predizer placas carot&#237;deas s&#227;o limitadas. Apesar disso, n&#227;o recomendaram o rastreamento rotineiro da DHEADM na popula&#231;&#227;o geral com o &#250;nico prop&#243;sito de avalia&#231;&#227;o do risco cardiovascular.<sup><xref ref-type="bibr" rid="B39">39</xref></sup> Shao et al. (2020) propuseram que a idade e o IMC podem atuar como preditores de risco cardiovascular em indiv&#237;duos com DHEADM.<sup><xref ref-type="bibr" rid="B40">40</xref></sup></p>
      <p>Embora a quantifica&#231;&#227;o da esteatose pelo CAP n&#227;o tenha apresentado diferen&#231;a estatisticamente significativa entre os participantes com e sem fibrose &#8212; inclusive no subgrupo com DM2 &#8212;, os valores mais elevados de CAP foram observados nos indiv&#237;duos com fibrose, o que sugere uma doen&#231;a mais avan&#231;ada. Eddowes et al. (2019) demonstraram que, embora o CAP tenha poder discriminat&#243;rio limitado para diferenciar esteatose grau 2 de grau 3 (moderada vs. grave), apresenta boa acur&#225;cia para o diagn&#243;stico de esteatose quando comparado &#224; bi&#243;psia hep&#225;tica.<sup><xref ref-type="bibr" rid="B21">21</xref></sup> Portanto, a quantifica&#231;&#227;o da esteatose isoladamente n&#227;o &#233; considerada um indicador confi&#225;vel da gravidade da doen&#231;a. Ainda assim, nossos achados podem indicar que, em uma popula&#231;&#227;o sob risco para DHEADM, valores elevados de CAP possam estar associados a formas mais graves da doen&#231;a esteat&#243;tica.</p>
      <p>Entre as limita&#231;&#245;es deste estudo, destaca-se o delineamento transversal, que impede o estabelecimento de rela&#231;&#245;es causais entre DHEADM e aumento da EMIC. A especificidade regional da amostra tamb&#233;m limita a generaliza&#231;&#227;o dos achados para a popula&#231;&#227;o brasileira e global. Ademais, o tamanho amostral relativamente pequeno e a amostragem por conveni&#234;ncia em um hospital de aten&#231;&#227;o terci&#225;ria podem introduzir vi&#233;s de sele&#231;&#227;o, com poss&#237;vel super-representa&#231;&#227;o de casos mais graves e limita&#231;&#227;o na aplicabilidade dos resultados &#224; popula&#231;&#227;o geral. Por outro lado, o estudo apresenta delineamento prospectivo, e todos os exames foram realizados por um &#250;nico examinador experiente. Apesar dessas limita&#231;&#245;es, o estudo possui pontos fortes, como a padroniza&#231;&#227;o metodol&#243;gica e a realiza&#231;&#227;o de todas as avalia&#231;&#245;es de imagem por um &#250;nico examinador experiente, o que assegura maior consist&#234;ncia e confiabilidade dos dados.</p>
      <p>O diagn&#243;stico da doen&#231;a hep&#225;tica e de sua progress&#227;o (esteatose e fibrose), neste estudo, foi baseado em ultrassonografia hep&#225;tica e elastografia, e n&#227;o na bi&#243;psia hep&#225;tica &#8212; atual padr&#227;o-ouro. No entanto, o uso de um procedimento invasivo como a bi&#243;psia em larga escala &#233; invi&#225;vel e representa risco inaceit&#225;vel aos pacientes.</p>
      <p>Neste estudo, conduzido com popula&#231;&#227;o brasileira da regi&#227;o metropolitana de Niter&#243;i, os participantes com fibrose hep&#225;tica moderada a avan&#231;ada associada &#224; DHEADM apresentaram EMIC e IV mais elevadas, com signific&#226;ncia estat&#237;stica observada no subgrupo com DM2.</p>
      <p>Apesar das discuss&#245;es ainda em curso na literatura internacional, a DHEADM continua sendo um fator de risco subestimado e independente para DCV ateroscler&#243;tica. Compartilha diversos mecanismos fisiopatol&#243;gicos com a DCV, incluindo inflama&#231;&#227;o sist&#234;mica de baixo grau, disfun&#231;&#227;o endotelial e resist&#234;ncia &#224; insulina.<sup><xref ref-type="bibr" rid="B41">41</xref>-<xref ref-type="bibr" rid="B44">44</xref></sup></p>
      <p>Dadas as varia&#231;&#245;es regionais nas caracter&#237;sticas populacionais, s&#227;o necess&#225;rios novos estudos para avaliar com maior precis&#227;o a associa&#231;&#227;o entre fibrose hep&#225;tica decorrente da DHEADM e aumento da EMIC, da IV e da presen&#231;a de placas ateroscler&#243;ticas.</p>
      <p>No contexto da avalia&#231;&#227;o global de risco cardiovascular em pacientes com DM2, a fibrose hep&#225;tica associada &#224; DHEADM pode representar um fator relevante a ser considerado. Estudos adicionais s&#227;o necess&#225;rios para confirmar essa hip&#243;tese.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclus&#245;es</title>
      <p>Este estudo destaca o potencial papel da fibrose hep&#225;tica decorrente da DHEADM &#8212; especialmente em indiv&#237;duos com DM2 &#8212; como um marcador intermedi&#225;rio de risco cardiovascular. Entre os participantes brasileiros sob risco para DHEADM, aqueles com DM2 e fibrose hep&#225;tica apresentaram EMIC e IV mais elevadas, sugerindo envelhecimento vascular precoce e risco cardiovascular aumentado. Esses achados refor&#231;am a import&#226;ncia da incorpora&#231;&#227;o de indicadores intermedi&#225;rios, como a EMIC e a IV, em conjunto com os escores tradicionais de risco cardiovascular, na avalia&#231;&#227;o abrangente de indiv&#237;duos com DHEADM.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="financial-disclosure" id="fn1">
        <label>Fontes de financiamento</label>
        <p>O presente estudo n&#227;o teve fontes de financiamento externas.</p>
      </fn>
      <fn fn-type="other" id="fn2">
        <label>Vincula&#231;&#227;o acad&#234;mica</label>
        <p>Este artigo &#233; parte de disserta&#231;&#227;o de mestrado de Daniele Coutinho pela Universidade Federal Fluminense, Faculdade de Medicina Programa de P&#243;s-Gradua&#231;&#227;o em Patologia.</p>
      </fn>
      <fn fn-type="other" id="fn3">
        <label>Aprova&#231;&#227;o &#233;tica e consentimento informado</label>
        <p>Este estudo foi aprovado pelo Comit&#234; de &#201;tica da Universidade Federal Fluminense sob o n&#250;mero de protocolo CAAE: 51731721.7.0000.5243. Todos os procedimentos envolvidos nesse estudo est&#227;o de acordo com a Declara&#231;&#227;o de Helsinki de 1975, atualizada em 2013. O consentimento informado foi obtido de todos os participantes inclu&#237;dos no estudo.</p>
      </fn>
      <fn fn-type="other" id="fn4">
        <label>Uso de Intelig&#234;ncia Artificial</label>
        <p>Os autores n&#227;o utilizaram ferramentas de intelig&#234;ncia artificial no desenvolvimento deste trabalho.</p>
      </fn>
    </fn-group>
    <sec sec-type="data-availability" specific-use="data-available-upon-request">
      <label>Disponibilidade de Dados</label>
      <p>Todo o conjunto de dados que d&#225; suporte aos resultados deste estudo est&#225; dispon&#237;vel mediante solicita&#231;&#227;o ao autor correspondente. O conjunto de dados n&#227;o est&#225; publicamente dispon&#237;vel, pois de acordo com os padr&#245;es &#233;ticos brasileiros para pesquisa em seres humanos, n&#227;o podemos disponibilizar publicamente o conjunto completo de dados cl&#237;nicos devido ao compromisso de proteger a privacidade e a confidencialidade dos participantes. Essa abordagem segue a Resolu&#231;&#227;o 466/2012 do Conselho Nacional de Sa&#250;de e a Lei Geral de Prote&#231;&#227;o de Dados (LGPD - Lei 13.709/2018). No entanto, acreditamos firmemente na transpar&#234;ncia cient&#237;fica e estamos comprometidos com o compartilhamento respons&#225;vel de dados. Os conjuntos de dados pseudonimizados que fundamentam os resultados apresentados neste artigo estar&#227;o dispon&#237;veis mediante solicita&#231;&#227;o razo&#225;vel ao(s) autor(es) correspondente(s), sujeitos &#224; aprova&#231;&#227;o do Comit&#234; de &#201;tica em Pesquisa original que autorizou nosso estudo.</p>
    </sec>
    <ack>
      <title>Agradecimentos</title>
      <p>Os autores expressam sua sincera gratid&#227;o &#224; Funda&#231;&#227;o Carlos Chagas Filho de Amparo &#224; Pesquisa do Estado do Rio de Janeiro (FAPERJ), &#224; Empresa Brasileira de Servi&#231;os Hospitalares (EBSERH) e ao Conselho Nacional de Desenvolvimento Cient&#237;fico e Tecnol&#243;gico (CNPq), pelo apoio financeiro por meio de bolsas de inicia&#231;&#227;o cient&#237;fica. O apoio dessas institui&#231;&#245;es foi fundamental para o desenvolvimento e a execu&#231;&#227;o deste estudo.</p>
    </ack>
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        <mixed-citation>44 Huang DQ, Downes M, Evans RM, Witztum JL, Glass CK, Loomba R. Shared Mechanisms between Cardiovascular Disease and NAFLD. Semin Liver Dis. 2022;42(4):455-64. doi: 10.1055/a-1930-6658.</mixed-citation>
      </ref>
    </ref-list>
  </back>
  <sub-article article-type="translation" id="S1" xml:lang="en">
    <front-stub>
      <article-id pub-id-type="doi">10.36660/abc.20240856i</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Relationship between Liver Fibrosis Due to Metabolic Dysfunction-Associated Steatotic Liver Disease and Subclinical Atherosclerosis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Coutinho</surname>
            <given-names>Daniele Araujo de Azeredo</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <role>Acquisition of data</role>
          <role>Writing of the manuscript</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-2349-670X</contrib-id>
          <name>
            <surname>Godinho</surname>
            <given-names>Jenaine Rosa</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="c2"/>
          <role>Acquisition of data</role>
          <role>Writing of the manuscript</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Moura</surname>
            <given-names>Raphael Carreiro</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <role>Acquisition of data</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Oliveira</surname>
            <given-names>Rog&#233;rio Martins</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <role>Acquisition of data</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Passos</surname>
            <given-names>Hevila Faria</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <role>Analysis and interpretation of the data</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mendes</surname>
            <given-names>Jordana de Paula Felipe</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <role>Acquisition of data</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Andrade</surname>
            <given-names>Carlos Roberto Moraes de</given-names>
            <suffix>Junior</suffix>
          </name>
          <xref ref-type="aff" rid="aff4">
            <sup>2</sup>
          </xref>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Writing of the manuscript</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Coca-Velarde</surname>
            <given-names>Luis Guillermo</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <role>Statistical analysis</role>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Saad</surname>
            <given-names>Maria Auxiliadora Nogueira</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <role>Acquisition of data</role>
          <role>Writing of the manuscript</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-5358-5426</contrib-id>
          <name>
            <surname>Flores</surname>
            <given-names>Priscila Pollo</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Critical revision of the manuscript for content</role>
          <role>Acquisition of data</role>
          <role>Writing of the manuscript</role>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-7905-0988</contrib-id>
          <name>
            <surname>Soares</surname>
            <given-names>Debora Vieira</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">
            <sup>1</sup>
          </xref>
          <role>Conception and design of the research</role>
          <role>Critical revision of the manuscript for content</role>
          <role>Analysis and interpretation of the data</role>
          <role>Writing of the manuscript</role>
        </contrib>
        <aff id="aff3">
          <label>1</label>
          <addr-line>
            <named-content content-type="city">Niter&#243;i</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Universidade Federal Fluminense, Niter&#243;i, RJ &#8211; Brazil</institution>
        </aff>
        <aff id="aff4">
          <label>2</label>
          <addr-line>
            <named-content content-type="city">Niter&#243;i</named-content>
            <named-content content-type="state">RJ</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Universidade Federal Fluminense - Hospital Universit&#225;rio Ant&#244;nio Pedro, Niter&#243;i, RJ &#8211; Brazil</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c2"><label>Mailing Address:</label><bold>Jenaine Rosa Godinho</bold> &#8226; Universidade Federal Fluminense - R. Des. Athayde Parreiras, 100. Postal Code <postal-code>24070-090</postal-code>, F&#225;tima, Niter&#243;i, RJ - Brazil E-mail: <email>jenainegodinho@id.uff.br</email> </corresp>
        <fn fn-type="conflict">
          <label>Potential conflict of interest</label>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
        <fn fn-type="edited-by">
          <label>Editor responsible for the review:</label>
          <p>Gl&#225;ucia Maria Moraes de Oliveira</p>
        </fn>
      </author-notes>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background</title>
          <p>Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent liver disease worldwide. MASLD can progress to fibrosis and related complications, with cardiovascular disease being the leading cause of death in affected individuals. Carotid atherosclerosis markers can predict cardiovascular outcomes, underscoring the relevance of their association with liver fibrosis.</p>
        </sec>
        <sec>
          <title>Objective</title>
          <p>To evaluate the relationship between liver fibrosis in MASLD and subclinical atherosclerosis by assessing carotid intima-media thickness (cIMT), vascular age (VA), and the presence of atherosclerotic plaques.</p>
        </sec>
        <sec>
          <title>Methods</title>
          <p>This prospective study included participants at risk for MASLD. Liver steatosis and fibrosis were assessed via ultrasound and liver elastography using controlled attenuation parameter measurements. Carotid atherosclerosis was evaluated through carotid ultrasound, cIMT measurements, and VA. A significance level of 5% (p &lt; 0.05) was adopted.</p>
        </sec>
        <sec>
          <title>Results</title>
          <p>A total of 114 participants were included, with a median age of 64 years (IQR: 55&#8211;68), and 96 (84%) were women. Steatosis was identified in 99 participants (86.8%) and fibrosis in 31 (27.2%). Atherosclerotic plaques were present in 33 participants (28.9%), with no significant difference in frequency between groups. However, the fibrosis group showed higher cIMT and elevated VA. In a subgroup analysis of 85 participants with type 2 diabetes mellitus (T2DM), 27 (31.8%) had fibrosis. These individuals had a higher cIMT (0.742 mm vs. 0.653 mm; p &lt; 0.05), and VA exceeded chronological age by 9 years in the fibrosis group compared to those without fibrosis (p &lt; 0.05).</p>
        </sec>
        <sec>
          <title>Conclusion</title>
          <p>This study demonstrates that individuals with MASLD and liver fibrosis exhibit greater vascular aging and increased cardiovascular risk, as reflected by elevated cIMT and VA.</p>
        </sec>
      </abstract>
      <abstract abstract-type="graphical">
        <p>
          <fig id="f2">
            <label>Central Illustration</label>
            <caption>
              <title>Relationship between Liver Fibrosis Due to Metabolic Dysfunction-Associated Steatotic Liver Disease and Subclinical Atherosclerosis</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-122-08-e20240856-40856-gf01-en.tif"/></fig>
        </p>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords</title>
        <kwd>Atherosclerosis</kwd>
        <kwd>Type 2 Diabetes Mellitus</kwd>
        <kwd>Liver Cirrhosis</kwd>
        <kwd>Heart Disease Risk Factors</kwd>
      </kwd-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>Metabolic dysfunction-associated steatotic liver disease (MASLD)<sup><xref ref-type="bibr" rid="B1">1</xref></sup> is a highly prevalent condition, affecting approximately 30% of the global population and up to 44% in Latin America.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> MASLD encompasses a spectrum ranging from simple steatosis to steatohepatitis (MASH), fibrosis, and ultimately liver cirrhosis. In the general population, about 10% of individuals with MASLD progress to MASH, fibrosis, and advanced liver disease. However, this proportion is significantly higher among those with type 2 diabetes mellitus (T2DM) and obesity.<sup><xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B4">4</xref></sup></p>
        <p>Overall mortality is elevated in individuals with MASLD and fibrosis, with cardiovascular disease (CVD) being the leading cause of death.<sup><xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B5">5</xref></sup> In cases of advanced fibrosis and cirrhosis, liver-related mortality becomes more prominent.<sup><xref ref-type="bibr" rid="B3">3</xref></sup></p>
        <p>The main metabolic risk factors for MASLD are associated with insulin resistance, metabolic syndrome (MetS), visceral obesity, diabetes mellitus, and atherogenic dyslipidemia.<sup><xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B3">3</xref></sup> While some of the cardiovascular risk can be attributed to these comorbidities, the diagnosis of MASLD with fibrosis is independently associated with increased cardiovascular mortality.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref></sup></p>
        <p>Previous studies have shown that measuring carotid intima-media thickness (cIMT) by carotid ultrasound is an independent predictor of cardiovascular risk. cIMT is associated with the likelihood of future coronary and cerebrovascular ischemic events, even in asymptomatic individuals.<sup><xref ref-type="bibr" rid="B8">8</xref></sup> Conversely, MASLD and the presence of liver fibrosis may also serve as potential predictors of subclinical atherosclerosis.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> Several studies have reported an association between subclinical CVD and liver fibrosis resulting from MASLD.<sup><xref ref-type="bibr" rid="B9">9</xref>,<xref ref-type="bibr" rid="B10">10</xref></sup></p>
        <p>The aim of the present study was to evaluate the relationship between liver fibrosis in MASLD and subclinical atherosclerosis by assessing cIMT, calculating vascular age (VA), and determining the frequency of atherosclerotic plaques.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <p>This was a prospective, observational study with cross-sectional data analysis. Participants were recruited from the Endocrinology outpatient clinic of a university hospital between March 2020 and August 2021. Recruitment was interrupted due to the COVID-19 pandemic. The study was approved by the local Research Ethics Committee under protocol number CAAE: 51731721.7.0000.5243. All participants provided written informed consent.</p>
        <p>Inclusion criteria were age over 18 years and the presence of risk factors for MASLD, including prediabetes, T2DM, obesity, and MetS. MetS was defined according to the criteria of the International Diabetes Federation (IDF), which require central obesity (waist circumference &gt; 90 cm in men and &gt; 80 cm in women) plus two or more of the following: triglycerides &#8805; 150 mg/dL or use of lipid-lowering agents; HDL cholesterol &lt; 40 mg/dL in men and &lt; 50 mg/dL in women or use of lipid-lowering agents; systolic blood pressure &#8805; 130 mmHg and/or diastolic blood pressure &#8805; 85 mmHg or use of antihypertensive medications; fasting blood glucose &#8805; 100 mg/dL or a previous diagnosis of T2DM.<sup><xref ref-type="bibr" rid="B10">10</xref></sup></p>
        <p>Exclusion criteria included a current or past history of alcohol consumption &gt; 14 g/day for women and &gt; 20 g/day for men, cancer, use of systemic corticosteroids or androgens, menopausal hormone therapy, history of bariatric surgery, pregnancy, and chronic kidney disease (CKD) with a glomerular filtration rate (GFR) &lt; 60 mL/min/1.73 m<sup>2</sup>, as calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
        <p>Regarding liver diseases, individuals with viral hepatitis (e.g., hepatitis B surface antigen, hepatitis B surface antibody, hepatitis B core antibody, and hepatitis C virus antibody) and autoimmune hepatitis were excluded. Autoimmune hepatitis was screened by measuring IgG and antinuclear antibodies. In patients with elevated liver enzymes and at least one positive or abnormal result, additional tests were performed, including anti-smooth muscle antibody and liver-kidney microsomal type 1 antibody measurements. Individuals with hepatocellular carcinoma, Child-Pugh class C cirrhosis, or decompensated cirrhosis were also excluded.</p>
        <p>Participants were categorized into groups with and without liver fibrosis. The presence of liver fibrosis was defined as liver stiffness &#8805; 7.1 kPa, which corresponds to stage F2 fibrosis on liver biopsy, according to the Metavir scoring system.<sup><xref ref-type="bibr" rid="B12">12</xref>,<xref ref-type="bibr" rid="B13">13</xref></sup> A subgroup analysis was also performed for participants with T2DM.</p>
        <p>Demographic characteristics, lifestyle factors, medication use, and prior history of CVD &#8212; including stroke, coronary artery disease, and peripheral arterial disease (PAD) &#8212; were recorded from medical charts.</p>
        <p>Clinical assessments included body weight measurement using a calibrated Filizola<sup>&#174;</sup> anthropometric scale (S&#227;o Paulo, SP, Brazil), certified by Instituto Nacional de Metrologia, Normaliza&#231;&#227;o e Qualidade Industrial (Inmetro). Height was measured with a stadiometer, with participants standing upright. Waist circumference (WC) was measured using a nonelastic SANNY measuring tape (S&#227;o Bernardo do Campo, SP, Brazil) at the midpoint between the iliac crest and the lower rib, with the participant standing and at the end of a normal exhalation.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> Neck circumference (NC) was measured at the base of the neck, just below the laryngeal prominence, with the participant standing, looking straight ahead, and shoulders relaxed. NC was considered high if &#8805; 35.5 cm for men and &#8805; 32 cm for women.<sup><xref ref-type="bibr" rid="B15">15</xref></sup> The waist-to-height ratio (WHtR) was considered elevated if &#8805; 0.5. Body mass index (BMI) was calculated, and obesity was defined as BMI &#8805; 30 kg/m<sup>2</sup>, according to World Health Organization (WHO) criteria.<sup><xref ref-type="bibr" rid="B14">14</xref></sup></p>
        <p>Blood samples were collected after a 12-hour overnight fast. The following laboratory tests were performed using the immunoturbidimetric method: fasting glucose, total cholesterol (TC), high-density lipoprotein cholesterol (HDL-c), triglycerides (TG), liver enzymes, urea, creatinine, bilirubin, ultrasensitive C-reactive protein, and uric acid. Ferritin, thyroid-stimulating hormone (TSH), and free T4 were measured using a chemiluminescence immunoassay with commercial kits from the Alinity S System (S&#227;o Paulo, Brazil). Low-density lipoprotein cholesterol (LDL-c) was estimated using the Friedewald equation. Platelet counts were determined using the Unicel<sup>&#174;</sup> DxH 800, Coulter<sup>&#174;</sup> Cellular Analysis System.</p>
        <p>Liver steatosis was assessed using liver ultrasound and transient elastography, including controlled attenuation parameter (CAP) measurements with the FibroScan<sup>&#174;</sup> Touch 502 model. All exams were performed after a 4-hour fast by the same experienced operator. Steatosis was classified as mild, moderate, or severe according to the Saadeh classification.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> The Fatty Liver Index (FLI-score) was also used to estimate the probability of steatohepatitis, with an FLI-score &#8805; 4 points indicating a high probability.<sup><xref ref-type="bibr" rid="B17">17</xref>,<xref ref-type="bibr" rid="B18">18</xref></sup></p>
        <p>Steatosis quantification by CAP was categorized as follows: &lt;236 dB/m indicated absent steatosis or &lt;5% liver fat; 236&#8211;279 dB/m indicated mild steatosis (5&#8211;33%); 279&#8211;302 dB/m indicated moderate steatosis (33&#8211;66%); and &#8805;302 dB/m indicated marked steatosis (&gt;66%).<sup><xref ref-type="bibr" rid="B19">19</xref></sup></p>
        <p>Liver fibrosis was assessed through liver stiffness measurements using one-dimensional transient elastography (FibroScan<sup>&#174;</sup>, Echosens, France) with M or XL probes, selected based on the participant's body type, and by Acoustic Radiation Force Impulse two-dimensional shear wave elastography (Canon<sup>&#174;</sup> Aplio i800, Japan). Examinations were performed after a 4-hour fast by the same experienced operator. Fibrosis staging was inferred using the METAVIR semi-quantitative score, based on the following liver stiffness values: F0 or F1: &lt; 7.1 kPa; F2: &#8805; 7.1 kPa and &#8804; 9.5 kPa; F3: &gt; 9.5 kPa and &#8804; 12.5 kPa; F4: &gt; 12.5 kPa.<sup><xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref></sup></p>
        <p>Carotid ultrasound evaluations were performed by the same experienced examiner, who was blinded to the participant's group assignment. The cIMT was measured digitally using a commercially available EPIQ7 ultrasound system (Philips<sup>&#174;</sup>), equipped with an L12&#8211;13 MHz linear transducer. Using Qlab software (Philips<sup>&#174;</sup>), cIMT was measured in millimeters, with precision to three decimal places. Measurements followed the standardized technique outlined by the Department of Cardiovascular Imaging of Brazilian Society of Cardiology.<sup><xref ref-type="bibr" rid="B22">22</xref></sup></p>
        <p>A transverse scan of the carotid arteries and their extracranial branches was conducted bilaterally to identify visible plaques. Subsequently, with the transducer placed longitudinally along the carotid artery and using the semi-automatic IMT detection program, cIMT measurements were obtained from the distal wall of the common carotid artery, within the last 10 mm proximal to the carotid bulb, at three different angles: posterior, lateral, and anterior. This resulted in six measurements &#8212; three on the right and three on the left. Mean values were calculated for the left (ML cIMT), right (MR cIMT), and combined sides (MT cIMT).</p>
        <p>An increased IMT was defined as a value above the 75th percentile on at least one side. Reference values were based on the vascular ultrasound guidelines of the Department of Cardiovascular Imaging of the Brazilian Society of Cardiology.<sup><xref ref-type="bibr" rid="B22">22</xref></sup> Different tables were applied based on the participant's age: for those under 40 years, the CAPS table was used, which does not differentiate by ethnicity; for participants aged 40 to 65, the ELSA-Brazil table was applied, with reference values for individuals of brown ethnicity, reflecting the study population; for those over 65 years, the MESA table for the Hispanic population was used.<sup><xref ref-type="bibr" rid="B22">22</xref></sup></p>
        <p>To calculate VA, the average cIMT from each side was used. The participant's VA was defined as the age at which their cIMT value corresponded to the 50th percentile bilaterally. In cases where the VA differed between the right and left sides, the higher value was considered.<sup><xref ref-type="bibr" rid="B22">22</xref></sup></p>
        <p>Cardiovascular risk stratification was performed using the risk calculator proposed by the Brazilian Society of Cardiology, which classifies cardiovascular risk into four categories: low, moderate, high, and very high.<sup><xref ref-type="bibr" rid="B23">23</xref></sup></p>
        <sec>
          <title>Statistical analysis</title>
          <p>Results are presented as median and interquartile range (p25&#8211;p75) for continuous variables with non-normal distribution, mean &#177; standard deviation for normally distributed continuous variables, and absolute (n) and relative (%) frequencies for categorical variables. The Shapiro-Wilk test was used to assess the normality of numerical data.</p>
          <p>For comparisons between groups, the independent samples t-test was used for normally distributed variables, while the Mann-Whitney <italic>U</italic> test was applied for non-normally distributed data. Categorical variables were analyzed using Fisher's exact test, depending on expected frequencies.</p>
          <p>After testing for normality, Spearman's correlation was used to assess the relationship between continuous variables. A p-value &lt; 0.05 was considered statistically significant. All analyses were conducted using R software, version 3.6.1 for Windows.</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>The main findings of this study are illustrated in Central Illustration, which visually summarizes the most relevant data presented in this article.</p>
        <p>A total of 114 participants were included, of whom 96 (84%) were women. The median age was 64 years. <xref ref-type="table" rid="t6">Table 1</xref> presents the baseline characteristics of the study population. No significant differences were observed between the fibrosis and non-fibrosis groups regarding age, sex, ethnicity, or associated comorbidities.</p>
        <table-wrap id="t6">
          <label>Table 1</label>
          <caption>
            <title>General data and comorbidities</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="12%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr style="background-color:#76B4CF;">
                <th align="left" valign="middle">Variable</th>
                <th align="center" valign="middle">General population (n=114)</th>
                <th align="center" valign="middle">Without fibrosis (n=82)</th>
                <th align="center" valign="middle">With fibrosis (n=31)</th>
                <th align="center" valign="middle">p-value</th>
                <th align="center" valign="middle">T2DM without fibrosis (n=58)</th>
                <th align="center" valign="middle">T2DM with fibrosis (n=27)</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">
                  <bold>Age (years)</bold>
                </td>
                <td align="center" valign="middle">64 (55-68)</td>
                <td align="center" valign="middle">63 (55-68)</td>
                <td align="center" valign="middle">65 (58-69)</td>
                <td align="center" valign="middle">0.2197</td>
                <td align="center" valign="middle">64 (57-68)</td>
                <td align="center" valign="middle">66 (62-70)</td>
                <td align="center" valign="middle">0.0829</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>Female (n, %)</bold>
                </td>
                <td align="center" valign="middle">96 (84)</td>
                <td align="center" valign="middle">67 (81.7)</td>
                <td align="center" valign="middle">28 (90.3)</td>
                <td align="center" valign="middle">0.4074</td>
                <td align="center" valign="middle">45 (77.6)</td>
                <td align="center" valign="middle">25 (92.6)</td>
                <td align="center" valign="middle">0.1286</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>Hypertension (n, %)</bold>
                </td>
                <td align="center" valign="middle">101 (88.6)</td>
                <td align="center" valign="middle">70 (85.4)</td>
                <td align="center" valign="middle">30 (96.8)</td>
                <td align="center" valign="middle">0.1721</td>
                <td align="center" valign="middle">51 (87.9)</td>
                <td align="center" valign="middle">27 (100)</td>
                <td align="center" valign="middle">0.0916</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>CVD (n, %)</bold>
                </td>
                <td align="center" valign="middle">14 (12.3)</td>
                <td align="center" valign="middle">11 (13.4)</td>
                <td align="center" valign="middle">3 (9.7)</td>
                <td align="center" valign="middle">0.8274</td>
                <td align="center" valign="middle">8 (13.8)</td>
                <td align="center" valign="middle">3 (11.1)</td>
                <td align="center" valign="middle">0.0777</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>PAD (n, %)</bold>
                </td>
                <td align="center" valign="middle">7 (6.1)</td>
                <td align="center" valign="middle">3 (3.7)</td>
                <td align="center" valign="middle">4 (12.9)</td>
                <td align="center" valign="middle">0.8273</td>
                <td align="center" valign="middle">2 (3.5)</td>
                <td align="center" valign="middle">4 (14.8)</td>
                <td align="center" valign="middle">0.1471</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>Dyslipidemia (n, %)</bold>
                </td>
                <td align="center" valign="middle">96 (84.2)</td>
                <td align="center" valign="middle">70 (85.4)</td>
                <td align="center" valign="middle">25 (80.6)</td>
                <td align="center" valign="middle">0.7461</td>
                <td align="center" valign="middle">52 (89.7)</td>
                <td align="center" valign="middle">23 (85.2)</td>
                <td align="center" valign="middle">0.7189</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>Pre-T2DM (n, %)</bold>
                </td>
                <td align="center" valign="middle">19 (16.7)</td>
                <td align="center" valign="middle">17 (20.7)</td>
                <td align="center" valign="middle">2 (6.5)</td>
                <td align="center" valign="middle">0.1262</td>
                <td align="center" valign="middle">-</td>
                <td align="center" valign="middle">-</td>
                <td align="center" valign="middle">-</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>T2DM (n, %)</bold>
                </td>
                <td align="center" valign="middle">86 (75.4)</td>
                <td align="center" valign="middle">58 (70.7)</td>
                <td align="center" valign="middle">27 (87.1)</td>
                <td align="center" valign="middle">0.1203</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">
                  <bold>Overweight (n, %)</bold>
                </td>
                <td align="center" valign="middle">26 (22.8)</td>
                <td align="center" valign="middle">22 (26.8)</td>
                <td align="center" valign="middle">4 (12.9)</td>
                <td align="center" valign="middle">0.1872</td>
                <td align="center" valign="middle">17 (29.3)</td>
                <td align="center" valign="middle">3 (11.1)</td>
                <td align="center" valign="middle">0.0985</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>Obesity (n, %)</bold>
                </td>
                <td align="center" valign="middle">65 (57.0)</td>
                <td align="center" valign="middle">45 (54.9)</td>
                <td align="center" valign="middle">20 (64.5)</td>
                <td align="center" valign="middle">0.1805</td>
                <td align="center" valign="middle">27 (46.6)</td>
                <td align="center" valign="middle">18 (66.7)</td>
                <td align="center" valign="middle">0.1047</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>MetS IDF (n, %)</bold>
                </td>
                <td align="center" valign="middle">71 (62.3)</td>
                <td align="center" valign="middle">50 (61)</td>
                <td align="center" valign="middle">20 (64.5)</td>
                <td align="center" valign="middle">0.8976</td>
                <td align="center" valign="middle">35 (60.3)</td>
                <td align="center" valign="middle">19 (70.4)</td>
                <td align="center" valign="middle">0.4702</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>Use of statin (n, %)</bold>
                </td>
                <td align="center" valign="middle">96 (85)</td>
                <td align="center" valign="middle">69 (85.2)</td>
                <td align="center" valign="middle">26 (83.9)</td>
                <td align="center" valign="middle">1</td>
                <td align="center" valign="middle">50 (86.2)</td>
                <td align="center" valign="middle">24 (88.9)</td>
                <td align="center" valign="middle">1</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>Menopause (n, %)</bold>
                </td>
                <td align="center" valign="middle">85 (90.4)</td>
                <td align="center" valign="middle">59 (89.4)</td>
                <td align="center" valign="middle">25 (92.6)</td>
                <td align="center" valign="middle">0.9305</td>
                <td align="center" valign="middle">40 (90.9)</td>
                <td align="center" valign="middle">23 (95.8)</td>
                <td align="center" valign="middle">0.6493</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" colspan="8" valign="middle">
                  <bold>Smoking (n, %)</bold>
                </td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">Never smoked</td>
                <td align="center" valign="middle">76 (66.7)</td>
                <td align="center" valign="middle">55 (67.1)</td>
                <td align="center" valign="middle">21 (67.7)</td>
                <td align="center" rowspan="3" valign="middle">0.9931</td>
                <td align="center" valign="middle">39 (67.2)</td>
                <td align="center" valign="middle">17 (63)</td>
                <td align="center" rowspan="3" valign="middle">0.8234</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">Current smoker</td>
                <td align="center" valign="middle">4 (3.5)</td>
                <td align="center" valign="middle">3 (3.7)</td>
                <td align="center" valign="middle">1 (3.2)</td>
                <td align="center" valign="middle">1 (1.7)</td>
                <td align="center" valign="middle">1 (3.7)</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">Former smoker</td>
                <td align="center" valign="middle">34 (29.8)</td>
                <td align="center" valign="middle">24 (29.3)</td>
                <td align="center" valign="middle">9 (29.0)</td>
                <td align="center" valign="middle">18 (31.0)</td>
                <td align="center" valign="middle">9 (33.3)</td>
              </tr>
              <tr>
                <td align="left" colspan="8" valign="middle">
                  <bold>Physical activity (n, %)</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle">Sedentary</td>
                <td align="center" valign="middle">81 (71.1)</td>
                <td align="center" valign="middle">55 (67.1)</td>
                <td align="center" valign="middle">25 (80.6)</td>
                <td align="center" rowspan="3" valign="middle">0.1270</td>
                <td align="center" valign="middle">37 (63.8)</td>
                <td align="center" valign="middle">23 (85.2)</td>
                <td align="center" rowspan="3" valign="middle">0.0585</td>
              </tr>
              <tr>
                <td align="left" valign="middle">&gt; 150 min/week</td>
                <td align="center" valign="middle">22 (19.3)</td>
                <td align="center" valign="middle">18 (22)</td>
                <td align="center" valign="middle">4 (12.9)</td>
                <td align="center" valign="middle">13 (22.4)</td>
                <td align="center" valign="middle">2 (7.4)</td>
              </tr>
              <tr>
                <td align="left" valign="middle">&lt; 150 min/week</td>
                <td align="center" valign="middle">10 (8.8)</td>
                <td align="center" valign="middle">9 (11)</td>
                <td align="center" valign="middle">1 (3.2)</td>
                <td align="center" valign="middle">8 (13.8)</td>
                <td align="center" valign="middle">1 (3.7)</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>Microalbuminuria (n, %)</bold>
                </td>
                <td align="center" valign="middle">9 (7.9)</td>
                <td align="center" valign="middle">4 (4.9)</td>
                <td align="center" valign="middle">5 (16.1)</td>
                <td align="center" valign="middle">0.1137</td>
                <td align="center" valign="middle">4 (6.9)</td>
                <td align="center" valign="middle">5 (18.5)</td>
                <td align="center" valign="middle">0.1351</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Retinopathies (n, %)</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" rowspan="5" valign="middle">0.5861</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" rowspan="5" valign="middle">0.9468</td>
              </tr>
              <tr>
                <td align="left" valign="middle">CVR (n, %):</td>
                <td align="center" valign="middle">4 (3.5)</td>
                <td align="center" valign="middle">2 (2.4)</td>
                <td align="center" valign="middle">2 (6.5)</td>
                <td align="center" valign="middle">0 (0)</td>
                <td align="center" valign="middle">0 (0)</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Low</td>
                <td align="center" valign="middle">7 (6.1)</td>
                <td align="center" valign="middle">4 (4.9)</td>
                <td align="center" valign="middle">3 (9.7)</td>
                <td align="center" valign="middle">3 (8.6)</td>
                <td align="center" valign="middle">1 (3.7)</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Moderate</td>
                <td align="center" valign="middle">89 (78.1)</td>
                <td align="center" valign="middle">65 (79.3)</td>
                <td align="center" valign="middle">23 (74.2)</td>
                <td align="center" valign="middle">47 (81.0)</td>
                <td align="center" valign="middle">23 (85.2)</td>
              </tr>
              <tr>
                <td align="left" valign="middle">High</td>
                <td align="center" valign="middle">12 (10.5)</td>
                <td align="center" valign="middle">9 (11)</td>
                <td align="center" valign="middle">3 (9.7)</td>
                <td align="center" valign="middle">6 (10.3)</td>
                <td align="center" valign="middle">3 (11.1)</td>
              </tr>
              <tr>
                <td align="left" valign="middle">Very high</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle"/>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN6">
              <p>Values are expressed as mean and standard deviation for normally distributed data, and as median and interquartile range for non-normally distributed data. CVD: cardiovascular disease; CVR: cardiovascular risk; IDF: International Diabetes Federation; MetS: metabolic syndrome; PAD: peripheral arterial disease; T2DM: type 2 diabetes mellitus.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p><xref ref-type="table" rid="t7">Table 2</xref> presents data from the physical examination, anthropometric measurements, and laboratory tests. The median abdominal circumference (AC) and hip circumference (HC) were 105 cm (IQR: 94&#8211;114) and 106 cm (IQR: 97&#8211;114), respectively. The median BMI was 31.62 kg/m<sup>2</sup>. Participants with liver fibrosis had higher AC, as well as elevated levels of gamma-glutamyl transferase (GGT), alanine aminotransferase (ALT), and aspartate aminotransferase (AST).</p>
        <table-wrap id="t7">
          <label>Table 2</label>
          <caption>
            <title>Physical exam, anthropometric data, and laboratory tests</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="12%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr style="background-color:#76B4CF;">
                <th align="left" valign="middle">Variable</th>
                <th align="center" valign="middle">General population(n=114)</th>
                <th align="center" valign="middle">Without fibrosis (n=82)</th>
                <th align="center" valign="middle">With fibrosis (n=31)</th>
                <th align="center" valign="middle">p- value</th>
                <th align="center" valign="middle">T2DM without fibrosis (n=58)</th>
                <th align="center" valign="middle">T2DM with fibrosis (n=27)</th>
                <th align="center" valign="middle">p- value</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>SBP (mmHg)</bold>
                </td>
                <td align="center" valign="middle">130 (128-150)</td>
                <td align="center" valign="middle">130 (130-141)</td>
                <td align="center" valign="middle">130 (121-155)</td>
                <td align="center" valign="middle">0.8729</td>
                <td align="center" valign="middle">130 (130-144)</td>
                <td align="center" valign="middle">130 (123-160)</td>
                <td align="center" valign="middle">0.9133</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>DBP (mmHg)</bold>
                </td>
                <td align="center" valign="middle">80 (76-90)</td>
                <td align="center" valign="middle">80 (76 - 90)</td>
                <td align="center" valign="middle">80 (79 - 90)</td>
                <td align="center" valign="middle">0.7163</td>
                <td align="center" valign="middle">80 (73-90)</td>
                <td align="center" valign="middle">80 (79-90)</td>
                <td align="center" valign="middle">0.2349</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>NC (cm)</bold>
                </td>
                <td align="center" valign="middle">37 (35-41)</td>
                <td align="center" valign="middle">36 (34-41)</td>
                <td align="center" valign="middle">40 (35-42)</td>
                <td align="center" valign="middle">0.1187</td>
                <td align="center" valign="middle">37 (34-42)</td>
                <td align="center" valign="middle">40 (35-42)</td>
                <td align="center" valign="middle">0.1771</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>WHtR (cm)</bold>
                </td>
                <td align="center" valign="middle">0.67 (0.59-0.73)</td>
                <td align="center" valign="middle">0.65 (0.59-0.73)</td>
                <td align="center" valign="middle">0.67 (0.64-0.73)</td>
                <td align="center" valign="middle">0.1579</td>
                <td align="center" valign="middle">0.64 (0.58-0.72)</td>
                <td align="center" valign="middle">0.67 (0.64-0.73)</td>
                <td align="center" valign="middle">0.0897</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>AC (cm)</bold>
                </td>
                <td align="center" valign="middle">105 (94-114)</td>
                <td align="center" valign="middle">103.50 &#177; 10.02</td>
                <td align="center" valign="middle">111.40 &#177; 10.02</td>
                <td align="center" valign="middle">0.0477</td>
                <td align="center" valign="middle">102.20 &#177; 10.02</td>
                <td align="center" valign="middle">107.50 &#177; 10.02</td>
                <td align="center" valign="middle">0.0230</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>Hip (cm)</bold>
                </td>
                <td align="center" valign="middle">106 (97-114)</td>
                <td align="center" valign="middle">106 (96-114)</td>
                <td align="center" valign="middle">110 (105-120)</td>
                <td align="center" valign="middle">0.0682</td>
                <td align="center" valign="middle">101 (95-112)</td>
                <td align="center" valign="middle">109 (104-118)</td>
                <td align="center" valign="middle">0.0352</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"><bold>BMI (Kg/m</bold><sup>2</sup>)</td>
                <td align="center" valign="middle">31.62 (28.16-36.06)</td>
                <td align="center" valign="middle">10.96 &#177; 5.01</td>
                <td align="center" valign="middle">11.88 &#177; 5.01</td>
                <td align="center" valign="middle">0.3284</td>
                <td align="center" valign="middle">31.03 &#177; 5.61</td>
                <td align="center" valign="middle">33.23 &#177; 5.61</td>
                <td align="center" valign="middle">0.112</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>ALB (g/dL)</bold>
                </td>
                <td align="center" valign="middle">4.4 (4.2-4.7)</td>
                <td align="center" valign="middle">4.44 &#177; 0.27</td>
                <td align="center" valign="middle">4.36 &#177; 0.27</td>
                <td align="center" valign="middle">0.3374</td>
                <td align="center" valign="middle">4.45 &#177; 0.27</td>
                <td align="center" valign="middle">4.35 &#177; 0.27</td>
                <td align="center" valign="middle">0.1619</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>GGT (u/L)</bold>
                </td>
                <td align="center" valign="middle">33 (25-56)</td>
                <td align="center" valign="middle">32 (24-44)</td>
                <td align="center" valign="middle">54 (29-78)</td>
                <td align="center" valign="middle">0.0035</td>
                <td align="center" valign="middle">29 (24-44)</td>
                <td align="center" valign="middle">54 (30-76)</td>
                <td align="center" valign="middle">0.0048</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>ALT (u/L)</bold>
                </td>
                <td align="center" valign="middle">22 (16-30)</td>
                <td align="center" valign="middle">20 (15-26)</td>
                <td align="center" valign="middle">29 (19-46)</td>
                <td align="center" valign="middle">0.0025</td>
                <td align="center" valign="middle">20 (15-26)</td>
                <td align="center" valign="middle">29 (18-44)</td>
                <td align="center" valign="middle">0.0082</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>AST (u/L)</bold>
                </td>
                <td align="center" valign="middle">22 (18-30)</td>
                <td align="center" valign="middle">20 (17-27)</td>
                <td align="center" valign="middle">31 (22-41)</td>
                <td align="center" valign="middle">0.0002</td>
                <td align="center" valign="middle">19 (16-25)</td>
                <td align="center" valign="middle">28 (20-38)</td>
                <td align="center" valign="middle">0.0012</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>TB (mg/dL)</bold>
                </td>
                <td align="center" valign="middle">0.39 (0.28-0.53)</td>
                <td align="center" valign="middle">0.37 (0.27-0.53)</td>
                <td align="center" valign="middle">0.43 (0.30-0.53)</td>
                <td align="center" valign="middle">0.5560</td>
                <td align="center" valign="middle">0.34 (0.27-0.53)</td>
                <td align="center" valign="middle">0.40 (0.30-0.50)</td>
                <td align="center" valign="middle">0.6894</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"><bold>eGFR (mL/min/1.73m</bold><sup>2</sup>)</td>
                <td align="center" valign="middle">86.80 (73.62-97.12)</td>
                <td align="center" valign="middle">85.22 &#177; 21.99</td>
                <td align="center" valign="middle">86.48 &#177; 21.99</td>
                <td align="center" valign="middle">0.6640</td>
                <td align="center" valign="middle">84.77 &#177; 21.99</td>
                <td align="center" valign="middle">82.58 &#177; 21.99</td>
                <td align="center" valign="middle">0.6294</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>CRP (mg/dL)</bold>
                </td>
                <td align="center" valign="middle">0.5 (0.3-0.9)</td>
                <td align="center" valign="middle">0.43 (0.2-0.7)</td>
                <td align="center" valign="middle">0.57 (0.4-1.2)</td>
                <td align="center" valign="middle">0.0927</td>
                <td align="center" valign="middle">0.4 (0.3-0.9)</td>
                <td align="center" valign="middle">0.6 (0.4-1.1)</td>
                <td align="center" valign="middle">0.2371</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>TSH (mU/L)</bold>
                </td>
                <td align="center" valign="middle">1.8 (1.2-3.5)</td>
                <td align="center" valign="middle">1.7 (1.1-3.2)</td>
                <td align="center" valign="middle">2.3 (1.4-3.8)</td>
                <td align="center" valign="middle">0.1774</td>
                <td align="center" valign="middle">1.6 (1.1-3.2)</td>
                <td align="center" valign="middle">2.1 (1.3-3.4)</td>
                <td align="center" valign="middle">0.4653</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>HbA1c (%)</bold>
                </td>
                <td align="center" valign="middle">6.9 (6.0-8.3)</td>
                <td align="center" valign="middle">6.6 (5.9-8.2)</td>
                <td align="center" valign="middle">7.1 (6.5-8.6)</td>
                <td align="center" valign="middle">0.0531</td>
                <td align="center" valign="middle">7.5 (6.4-8.6)</td>
                <td align="center" valign="middle">7.3 (6.7-9.0)</td>
                <td align="center" valign="middle">0.7742</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>TC (mg/dL)</bold>
                </td>
                <td align="center" valign="middle">168 (143-191)</td>
                <td align="center" valign="middle">169 (141-192)</td>
                <td align="center" valign="middle">166 (147-184)</td>
                <td align="center" valign="middle">0.9939</td>
                <td align="center" valign="middle">165 (139-192)</td>
                <td align="center" valign="middle">166 (147-193)</td>
                <td align="center" valign="middle">0.7159</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>LDL-c (mg/dL)</bold>
                </td>
                <td align="center" valign="middle">95 (75-123)</td>
                <td align="center" valign="middle">96 (73-126)</td>
                <td align="center" valign="middle">94 (77-112)</td>
                <td align="center" valign="middle">0.6677</td>
                <td align="center" valign="middle">86 (72-126)</td>
                <td align="center" valign="middle">94 (75-112)</td>
                <td align="center" valign="middle">0.9847</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>HDL-c (mg/dL)</bold>
                </td>
                <td align="center" valign="middle">44 (38-53)</td>
                <td align="center" valign="middle">44 (38-53)</td>
                <td align="center" valign="middle">45 (38-51)</td>
                <td align="center" valign="middle">0.9222</td>
                <td align="center" valign="middle">86 (72-126)</td>
                <td align="center" valign="middle">45 (38-51)</td>
                <td align="center" valign="middle">0.8032</td>
              </tr>
              <tr>
                <td align="left" valign="middle">
                  <bold>TG (mg/dL)</bold>
                </td>
                <td align="center" valign="middle">131 (92-179)</td>
                <td align="center" valign="middle">135 (92-179)</td>
                <td align="center" valign="middle">129 (99-175)</td>
                <td align="center" valign="middle">0.9948</td>
                <td align="center" valign="middle">129 (93-178)</td>
                <td align="center" valign="middle">145 (103-185)</td>
                <td align="center" valign="middle">0.4995</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN7">
              <p>Values are expressed as mean and standard deviation for normally distributed data, and as median and interquartile range for non-normally distributed data. AC: abdominal circumference; ALB: albumin; ALT: alanine aminotransferase; AST: aspartate aminotransferase; BMI: body mass index; CRP: C-reactive protein; DBP: diastolic blood pressure; eGFR: estimated glomerular filtration rate; GGT: gamma-glutamyl transferase; HbA1c: glycated hemoglobin; HDL-c: high-density lipoprotein cholesterol; LDL-c: low-density lipoprotein cholesterol; NC: neck circumference; SBP: systolic blood pressure; TC: total cholesterol; TG: triglycerides; TSH: thyroid-stimulating hormone; TB: total bilirubin; WHtR: waist-to-height ratio.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Liver steatosis was observed in 99 participants (86.8%), and liver fibrosis was present in 31 participants (27.2%). In one participant with T2DM, liver elastography could not be performed due to body habitus. Although the median CAP values were higher in the fibrosis group (322 dB/m vs. 292 dB/m), the difference in steatosis severity between groups was not statistically significant. In the T2DM subgroup, the difference in CAP values between groups was even greater (325 dB/m vs. 290 dB/m), yet remained statistically non-significant (<xref ref-type="table" rid="t8">Table 3</xref>).</p>
        <table-wrap id="t8">
          <label>Table 3</label>
          <caption>
            <title>Liver imaging exams</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="12%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr style="background-color:#76B4CF;">
                <th align="left" valign="middle">Variable</th>
                <th align="center" valign="middle">General population (n=114)</th>
                <th align="center" valign="middle">Without fibrosis (n=82)</th>
                <th align="center" valign="middle">With fibrosis (n=31)</th>
                <th align="center" valign="middle">p- value</th>
                <th align="center" valign="middle">T2DM without fibrosis (n=58)</th>
                <th align="center" valign="middle">T2DM with fibrosis (n=27)</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">
                  <bold>Steatosis (n, %)</bold>
                </td>
                <td align="center" valign="middle">99 (86.8)</td>
                <td align="center" valign="middle">70 (85.4)</td>
                <td align="center" valign="middle">28 (90.3)</td>
                <td align="center" valign="middle">0.7023</td>
                <td align="center" valign="middle">49 (84.5)</td>
                <td align="center" valign="middle">24 (88.9)</td>
                <td align="center" valign="middle">0.1052</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" colspan="8" valign="middle">
                  <bold>Steatosis degree (n, %)</bold>
                </td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">Absent</td>
                <td align="center" valign="middle">15 (13.2)</td>
                <td align="center" valign="middle">12 (14.6)</td>
                <td align="center" valign="middle">3 (9.7)</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">9 (15.5)</td>
                <td align="center" valign="middle">3 (11.1)</td>
                <td align="center" valign="middle"/>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">Light</td>
                <td align="center" valign="middle">22 (19.3)</td>
                <td align="center" valign="middle">18 (22)</td>
                <td align="center" valign="middle">3 (9.7)</td>
                <td align="center" valign="middle">0.2612</td>
                <td align="center" valign="middle">13 (22.4)</td>
                <td align="center" valign="middle">2 (7.4)</td>
                <td align="center" valign="middle">0.1665</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">Moderate</td>
                <td align="center" valign="middle">33 (28.9)</td>
                <td align="center" valign="middle">24 (29.3)</td>
                <td align="center" valign="middle">9 (29.0)</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">17 (29.3)</td>
                <td align="center" valign="middle">7 (25.9)</td>
                <td align="center" valign="middle"/>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">High</td>
                <td align="center" valign="middle">44 (38.6)</td>
                <td align="center" valign="middle">28 (34.1)</td>
                <td align="center" valign="middle">16 (51.6)</td>
                <td align="center" valign="middle"/>
                <td align="center" valign="middle">19 (32.8)</td>
                <td align="center" valign="middle">15 55.6)</td>
                <td align="center" valign="middle"/>
              </tr>
              <tr>
                <td align="left" valign="middle"><bold>Hepatic steatosis (FLI</bold> &#8805; <bold>60) (n, %)</bold></td>
                <td align="center" valign="middle">59 (51.8)</td>
                <td align="center" valign="middle">38 (46.3)</td>
                <td align="center" valign="middle">21 (67.7)</td>
                <td align="center" valign="middle">0.1881</td>
                <td align="center" valign="middle">27 (46.6)</td>
                <td align="center" valign="middle">18 (31.0)</td>
                <td align="center" valign="middle">0.0651</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">
                  <bold>CAP</bold>
                </td>
                <td align="center" valign="middle">300 (259.8-342)</td>
                <td align="center" valign="middle">292 (259-341)</td>
                <td align="center" valign="middle">322 (267-342)</td>
                <td align="center" valign="middle">0.5775</td>
                <td align="center" valign="middle">290 (259-347)</td>
                <td align="center" valign="middle">325 (271-342)</td>
                <td align="center" valign="middle">0.3488</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN8">
              <p>Values are expressed as mean and standard deviation for normally distributed data, and as median and interquartile range for non-normally distributed data. CAP: controlled attenuation parameter; FLI: fatty liver index; T2DM: type 2 diabetes mellitus.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Carotid ultrasound revealed a median VA of 65 years (IQR: 53&#8211;79), and atherosclerotic plaques were detected in 33 participants (28.9%). There was no significant difference in plaque frequency between participants with and without fibrosis. Although the fibrosis group had a higher total mean cIMT (MT cIMT), the difference was not statistically significant. However, VA in relation to chronological age (CA) was higher in the fibrosis group, differing by 8 years compared to the non-fibrosis group (<xref ref-type="table" rid="t9">Table 4</xref>).</p>
        <table-wrap id="t9">
          <label>Table 4</label>
          <caption>
            <title>Carotid imaging exam</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="12%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr style="background-color:#76B4CF;">
                <th align="left" valign="middle">Variable</th>
                <th align="center" valign="middle">General population (n=114)</th>
                <th align="center" valign="middle">Without fibrosis (n=82)</th>
                <th align="center" valign="middle">With fibrosis (n=31)</th>
                <th align="center" valign="middle">p-value</th>
                <th align="center" valign="middle">T2DM without fibrosis (n=58)</th>
                <th align="center" valign="middle">T2DM with fibrosis (n=27)</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">MT cIMT (mm)</td>
                <td align="center" valign="middle">0.665 (0.580-0.770)</td>
                <td align="center" valign="middle">0.66 &#177; 0.15</td>
                <td align="center" valign="middle">0.72 &#177; 0.15</td>
                <td align="center" valign="middle">0.0508</td>
                <td align="center" valign="middle">0.653 (0.565-0.768)</td>
                <td align="center" valign="middle">0.742 (0.646-0.819)</td>
                <td align="center" valign="middle">0.0357</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">MR cIMT (mm)</td>
                <td align="center" valign="middle">0.660 (0.570-0.790)</td>
                <td align="center" valign="middle">0.645 (0.550-0.765)</td>
                <td align="center" valign="middle">0.700 (0.620-0.800)</td>
                <td align="center" valign="middle">0.0948</td>
                <td align="center" valign="middle">0.655 (0.550-0.770)</td>
                <td align="center" valign="middle">0.740 (0.650-0.805)</td>
                <td align="center" valign="middle">0.0463</td>
              </tr>
              <tr>
                <td align="left" valign="middle">ML cIMT (mm)</td>
                <td align="center" valign="middle">0.665 (0.580-0.770)</td>
                <td align="center" valign="middle">0.650 (0.570-0.758)</td>
                <td align="center" valign="middle">0.710 0.590-0.840)</td>
                <td align="center" valign="middle">0.0610</td>
                <td align="center" valign="middle">0.670 (0.570-0.768)</td>
                <td align="center" valign="middle">0.730 (0.630-0.855)</td>
                <td align="center" valign="middle">0.0456</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">Plaque (n, %)</td>
                <td align="center" valign="middle">33 (28.9%)</td>
                <td align="center" valign="middle">22 (26.8%)</td>
                <td align="center" valign="middle">10 (32.3%)</td>
                <td align="center" valign="middle">0.7357</td>
                <td align="center" valign="middle">17 (29.3%)</td>
                <td align="center" valign="middle">10 (37.0%)</td>
                <td align="center" valign="middle">0.6173</td>
              </tr>
              <tr>
                <td align="left" valign="middle">cIMT &gt; p75 (n, %)</td>
                <td align="center" valign="middle">42 (36.8%)</td>
                <td align="center" valign="middle">29 (35.4%)</td>
                <td align="center" valign="middle">13 (41.9%)</td>
                <td align="center" valign="middle">0.0508</td>
                <td align="center" valign="middle">15 (25.9%)</td>
                <td align="center" valign="middle">12 (44.4%)</td>
                <td align="center" valign="middle">0.4834</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">VA (years)</td>
                <td align="center" valign="middle">65 (53&#8211;79)</td>
                <td align="center" valign="middle">67.18 &#177; 17.52</td>
                <td align="center" valign="middle">73.80 &#177; 17.52</td>
                <td align="center" valign="middle">0.1365</td>
                <td align="center" valign="middle">69.59 &#177; 17.52</td>
                <td align="center" valign="middle">73.08 &#177; 17.52</td>
                <td align="center" valign="middle">0.0240</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN9">
              <p>Values are expressed as mean and standard deviation for normally distributed data, and as median and interquartile range for non-normally distributed data. cIMT: carotid intima-media thickness; ML cIMT: mean left common carotid artery intima-media thickness; MR cIMT: mean right common carotid artery intima-media thickness; MT cIMT: total mean common carotid artery intima-media thickness; T2DM: type 2 diabetes mellitus; VA: vascular age.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>A sub-analysis was conducted on 85 participants with T2DM, with a median age of 64 years, of whom 70 (82.3%) were women. Participants with T2DM and liver fibrosis had higher levels of GGT and transaminases as well as greater HC (<xref ref-type="table" rid="t7">Table 2</xref>). Liver steatosis was present in 73 participants (85.9%), and liver fibrosis in 27 (31.8%) (<xref ref-type="table" rid="t8">Table 3</xref>).</p>
        <p>In this sub-analysis, participants with T2DM and fibrosis had higher VA and higher total mean cIMT (MT cIMT) compared to those without fibrosis (<xref ref-type="table" rid="t9">Table 4</xref>). VA in relation to CA was 9 years higher in the fibrosis group. There was no significant difference in the frequency of atherosclerotic plaques between the groups (<xref ref-type="table" rid="t9">Table 4</xref>).</p>
        <p>No significant correlation was found between MT cIMT and FLI, CAP, GGT, AC, NC, or WHtR. In the T2DM subgroup, a statistically significant but weak negative correlation was observed between MT cIMT and FLI. No other significant correlations were identified. Detailed results are presented in <xref ref-type="table" rid="t10">Table 5</xref>.</p>
        <table-wrap id="t10">
          <label>Table 5</label>
          <caption>
            <title>Correlation between MT-cIMT and metabolic variables in the general population and T2DM group</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="20%">
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
              <tr style="background-color:#76B4CF;">
                <th align="left" rowspan="2" valign="middle">Variable</th>
                <th align="center" style="border-bottom: thin solid; border-color: #000000" valign="middle">General population (n = 114)</th>
                <th align="center" rowspan="2" valign="middle">p-value</th>
                <th align="center" style="border-bottom: thin solid; border-color: #000000" valign="middle">T2DM (n = 85)</th>
                <th align="center" rowspan="2" valign="middle">p-value</th>
              </tr>
              <tr style="background-color:#76B4CF;">
                <th align="center" valign="middle">r</th>
                <th align="center" valign="middle">r</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">FLI</td>
                <td align="center" valign="middle">&#8211;0.1483</td>
                <td align="center" valign="middle">0.1629</td>
                <td align="center" valign="middle">&#8211;0.2547</td>
                <td align="center" valign="middle">0.0375</td>
              </tr>
              <tr>
                <td align="left" valign="middle">CAP</td>
                <td align="center" valign="middle">&#8211;0.1009</td>
                <td align="center" valign="middle">0.2986</td>
                <td align="center" valign="middle">&#8211;0.1243</td>
                <td align="center" valign="middle">0.2658</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">GGT</td>
                <td align="center" valign="middle">0.0015</td>
                <td align="center" valign="middle">0.9875</td>
                <td align="center" valign="middle">0.1021</td>
                <td align="center" valign="middle">0.3740</td>
              </tr>
              <tr>
                <td align="left" valign="middle">AC</td>
                <td align="center" valign="middle">&#8211;0.0462</td>
                <td align="center" valign="middle">0.6350</td>
                <td align="center" valign="middle">&#8211;0.0444</td>
                <td align="center" valign="middle">0.6956</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle">NC</td>
                <td align="center" valign="middle">&#8211;0.0657</td>
                <td align="center" valign="middle">0.4970</td>
                <td align="center" valign="middle">&#8211;0.0229</td>
                <td align="center" valign="middle">0.8389</td>
              </tr>
              <tr>
                <td align="left" valign="middle">WHtR</td>
                <td align="center" valign="middle">0.1200</td>
                <td align="center" valign="middle">0.2138</td>
                <td align="center" valign="middle">0.0563</td>
                <td align="center" valign="middle">0.6177</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN10">
              <p>AC: abdominal circumference; CAP: controlled attenuation parameter; FLI: fatty liver index; GGT: gamma-glutamyl transferase; NC: neck circumference; T2DM: type 2 diabetes mellitus; WHtR: waist-to-height ratio; r: Pearson correlation coefficient; p-value: significance level (p &lt; 0.05 considered statistically significant).</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <p>CVD affects nearly half of individuals with MASLD, with carotid atherosclerosis reported in approximately 35% of participants with steatotic liver disease.<sup><xref ref-type="bibr" rid="B24">24</xref></sup></p>
        <p>In this prospective study, the relationship between MASLD and subclinical atherosclerosis was evaluated using cIMT, VA, and the presence of carotid atherosclerotic plaques as predictive markers. These data are scarce in the Brazilian literature. Moreover, to our knowledge, this is the first study conducted in a Brazilian population with MASLD to assess VA based on cIMT.</p>
        <p>Among the 114 participants at risk for MASLD, recruited from an endocrinology outpatient clinic, 86.8% were diagnosed with liver steatosis and 27.2% with liver fibrosis. In the general population, the prevalence of steatosis ranges from 30% to 40%, while liver fibrosis affects approximately 5% to 10%.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> The higher prevalence observed in the present study may be explained by the sample characteristics, which included a large proportion of participants with T2DM (75.4%), a known risk factor for both steatosis and fibrosis.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> Additionally, a substantial portion of the study population consisted of postmenopausal women, a group in which the relationship between liver fibrosis and CVD remains underexplored.<sup><xref ref-type="bibr" rid="B25">25</xref></sup></p>
        <p>The severity of MASLD is associated with an increased risk of atherosclerosis and mortality,<sup><xref ref-type="bibr" rid="B12">12</xref></sup> and patients with T2DM may represent a particularly vulnerable subgroup.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> However, several risk factors are shared between MASLD and atherosclerosis &#8212; such as obesity and MetS &#8212; which may act as confounders. In this study, no significant differences were observed in such potential confounders when comparing participants with and without liver fibrosis, including in the T2DM subgroup analysis. The groups were similar in terms of obesity prevalence and other anthropometric measures of adiposity, except for HC, which was higher in diabetic participants with fibrosis. No differences were found regarding age, sex, smoking status, laboratory parameters, or statin use.</p>
        <p>GGT is an enzyme involved in the glutathione system, which serves as a key antioxidant mechanism in the body. Elevated GGT levels in individuals with fibrosis may indicate the presence of oxidative stress. Similarly, cardiovascular risk is linked to oxidative stress and chronic inflammation &#8212; both of which are reflected by increased GGT levels. Thus, GGT may serve as a readily available and cost-effective biomarker that is elevated in both liver fibrosis and cardiovascular disease.<sup><xref ref-type="bibr" rid="B26">26</xref>,<xref ref-type="bibr" rid="B27">27</xref></sup></p>
        <p>The present study did not demonstrate a significant association between liver fibrosis and atherosclerotic plaques detected by carotid ultrasound, consistent with findings from other studies.<sup><xref ref-type="bibr" rid="B28">28</xref>-<xref ref-type="bibr" rid="B30">30</xref></sup> In contrast, some previous studies have reported such an association. These discrepancies may be explained by differences in methodology as well as clinical, ethnic, and demographic characteristics of the study populations, besides the limited sample size.<sup><xref ref-type="bibr" rid="B31">31</xref>-<xref ref-type="bibr" rid="B33">33</xref></sup></p>
        <p>In our study, most participants were women, many of whom were using statins and had glycated hemoglobin levels close to target values. These factors were similar between the fibrosis and non-fibrosis groups. Moreover, data on the Brazilian population are scarce, as most studies have focused on Asian populations.<sup><xref ref-type="bibr" rid="B2">2</xref></sup></p>
        <p>Elevated cIMT is an independent risk factor for cardiovascular and cerebrovascular events.<sup><xref ref-type="bibr" rid="B8">8</xref></sup> In our population, cIMT was assessed and found to be higher in participants with fibrosis compared to those without fibrosis, particularly in the subgroup with T2DM.</p>
        <p>Some authors have found no association between MASLD and increased cIMT, including studies conducted in participants with T2DM.<sup><xref ref-type="bibr" rid="B30">30</xref>,<xref ref-type="bibr" rid="B33">33</xref>,<xref ref-type="bibr" rid="B34">34</xref></sup> Conversely, other studies have demonstrated a positive association between MASLD and increased cIMT.<sup><xref ref-type="bibr" rid="B31">31</xref>,<xref ref-type="bibr" rid="B32">32</xref>,<xref ref-type="bibr" rid="B35">35</xref></sup></p>
        <p>Carotid ultrasound can be used to assess VA through parameters such as cIMT, carotid distensibility, and pulse wave velocity (PWV). Each of these measurements provides important information on the functional and structural condition of the arteries, contributing to a more comprehensive evaluation of vascular aging. In this study, VA was higher than CA in participants with liver fibrosis, both in the overall sample and in the T2DM subgroup &#8212; with a statistically significant difference in the latter (<xref ref-type="table" rid="t9">Table 4</xref>). Participants with T2DM and fibrosis had a VA that was nine years greater than their CA. This finding suggests a possible association between liver fibrosis and accelerated cardiovascular aging in individuals with T2DM. A separate longitudinal study conducted in Brazil evaluated 291 patients with T2DM and MASLD, using carotid-femoral PWV to assess VA. The study found that high or increasing aortic stiffness predicted the development of advanced liver fibrosis.<sup><xref ref-type="bibr" rid="B36">36</xref></sup> Additionally, another Brazilian study showed elevated VA in individuals with type 1 diabetes (T1D).<sup><xref ref-type="bibr" rid="B37">37</xref></sup> Taken together, these findings suggest that diabetes mellitus contributes to increased VA, reflecting higher cardiovascular risk and endothelial dysfunction.<sup><xref ref-type="bibr" rid="B37">37</xref></sup></p>
        <p>Zhou et al. (2018) demonstrated that MASLD is independently associated with a higher prevalence of CVD in patients with T2DM and proposed MASLD as an additional risk factor for CVD in this population.<sup><xref ref-type="bibr" rid="B38">38</xref></sup></p>
        <p>A recent meta-analysis of 7,951 participants at risk for MASLD showed that the prevalence of carotid atherosclerosis varied by geographic region, being highest in Europe (45%), followed by North America (41%), Asia (36%), and lowest in the Middle East (19%).<sup><xref ref-type="bibr" rid="B24">24</xref></sup> These findings underscore the lack of studies focusing on the Latin American population.</p>
        <p>Sinn et al. (2016) observed that among individuals with MASLD, the frequency of carotid plaques was higher in those with a lower average age.<sup><xref ref-type="bibr" rid="B39">39</xref></sup> The association between MASLD and carotid plaque was more pronounced in younger adults than in older ones. However, they noted that the sensitivity and specificity of MASLD for predicting carotid plaque are limited. Despite this, the authors did not support routine MASLD screening in the general population solely for cardiovascular risk assessment.<sup><xref ref-type="bibr" rid="B39">39</xref></sup> Shao et al. (2020) proposed that age and BMI may serve as predictors of cardiovascular risk in individuals with MASLD.<sup><xref ref-type="bibr" rid="B40">40</xref></sup></p>
        <p>Although steatosis quantification by CAP did not differ significantly between participants with and without fibrosis &#8212; including in the T2DM subgroup &#8212; the highest CAP values were observed in those with fibrosis, suggesting more advanced disease. Eddowes et al. (2019) demonstrated that while CAP has limited discriminatory power for distinguishing between grade 2 and grade 3 steatosis (moderate vs. severe), it shows good accuracy for the diagnosis of steatosis compared with liver biopsy.<sup><xref ref-type="bibr" rid="B21">21</xref></sup> Therefore, steatosis quantification alone is not considered a reliable indicator of disease severity. Nevertheless, our findings may indicate that, in a population at risk for MASLD, elevated CAP values could be associated with more serious steatotic disease.</p>
        <p>Among the limitations of this study is its cross-sectional design, which precludes the establishment of causal relationships between MASLD and increased cIMT. The regional specificity of the sample also limits the generalizability of the findings to the broader Brazilian and global populations. In addition, the relatively small sample size and convenience sampling from a tertiary care hospital may introduce selection bias, potentially overrepresenting more severe cases and limiting applicability to the general population. On the other hand, our study has a prospective design, and the exams were performed by a single experienced examiner. Despite these limitations, the study has strengths. It employed a prospective design, and all imaging assessments were performed by the same experienced examiner, ensuring methodological consistency and reliability.</p>
        <p>The diagnosis of liver disease and its progression (steatosis and fibrosis) in this study was based on liver ultrasound and elastography, rather than liver biopsy &#8212; the current gold standard. However, the use of an invasive procedure such as biopsy on a large scale is impractical and poses unacceptable risk to patients.</p>
        <p>In this study, conducted in the Brazilian population of the metropolitan region of Niter&#243;i, participants with moderate to advanced liver fibrosis associated with MASLD exhibited higher cIMT and VA, with statistical significance observed in the T2DM subgroup.</p>
        <p>Despite ongoing debate in the international literature, MASLD remains an underestimated and independent risk factor for atherosclerotic cardiovascular disease. It shares several underlying mechanisms with CVD, including low-grade systemic inflammation, endothelial dysfunction, and insulin resistance.<sup><xref ref-type="bibr" rid="B41">41</xref>-<xref ref-type="bibr" rid="B44">44</xref></sup></p>
        <p>Because of regional variations in population characteristics, further studies are clearly needed to better assess the association between liver fibrosis due to MASLD and increased cIMT, VA, and the presence of atherosclerotic plaques.</p>
        <p>In the context of global cardiovascular risk assessment in patients with T2DM, liver fibrosis due to MASLD may represent an important factor to consider. Further research is warranted to confirm this hypothesis.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusions</title>
        <p>This study highlights the potential role of liver fibrosis due to MASLD &#8212; particularly in individuals with T2DM &#8212; as an intermediate marker of cardiovascular risk. Among Brazilian participants at risk for MASLD, those with T2DM and liver fibrosis demonstrated higher cIMT and VA, suggesting early vascular aging and elevated cardiovascular risk. These findings reinforce the importance of incorporating intermediate indicators, such as cIMT and VA, alongside traditional cardiovascular risk calculators in the comprehensive assessment of individuals with MASLD.</p>
      </sec>
    </body>
    <back>
      <fn-group>
        <fn fn-type="financial-disclosure" id="fn5">
          <label>Sources of funding</label>
          <p>There were no external funding sources for this study.</p>
        </fn>
        <fn fn-type="other" id="fn6">
          <label>Study association</label>
          <p>This article is part of the thesis of master submitted by Daniele Coutinho, from Universidade Federal Fluminense, Faculdade de Medicina Programa de P&#243;s-Gradua&#231;&#227;o em Patologia.</p>
        </fn>
        <fn fn-type="other" id="fn7">
          <label>Ethics approval and consent to participate</label>
          <p>This study was approved by the Ethics Committee of the Universidade Federal Fluminense under the protocol number CAAE: 51731721.7.0000.5243. All the procedures in this study were in accordance with the 1975 Helsinki Declaration, updated in 2013. Informed consent was obtained from all participants included in the study.</p>
        </fn>
        <fn fn-type="other" id="fn8">
          <label>Use of Artificial Intelligence</label>
          <p>The authors did not use any artificial intelligence tools in the development of this work.</p>
        </fn>
      </fn-group>
      <sec sec-type="data-availability" specific-use="data-available-upon-request">
        <label>Data Availability</label>
        <p>All datasets supporting the results of this study are available upon request from the corresponding author. The dataset is not publicly available as in accordance with Brazilian ethical standards for human research, we cannot make the complete clinical dataset publicly available commitment to protecting participants&#8217; privacy and confidentiality. This approach follows both the Brazilian National Health Council Resolution 466/2012 and the General Data Protection Law (LGPD - Law 13.709/2018). However, we strongly believe in scientific transparency and are committed to responsible data sharing. The pseudonymized datasets underlying the findings presented in this article will be available upon reasonable request to the corresponding author(s), subject to approval from the original Ethics Research Committee that authorized our study.</p>
      </sec>
      <ack>
        <title>Acknowledgments</title>
        <p>The authors would like to express their sincere gratitude to the Funda&#231;&#227;o Carlos Chagas Filho de Amparo &#224; Pesquisa do Estado do Rio de Janeiro (FAPERJ), the Empresa Brasileira de Servi&#231;os Hospitalares (EBSERH), and the Conselho Nacional de Desenvolvimento Cient&#237;fico e Tecnol&#243;gico (CNPq) for their financial support through undergraduate research scholarships. Their support was instrumental to the development and execution of this study.</p>
      </ack>
    </back>
  </sub-article>
</article>
