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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">W5ZmgQHrxQTb5BKyPc4BW3L</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S0066-782X2026000100606</article-id>
      <article-id pub-id-type="doi">10.36660/abc.20250439</article-id>
      <article-id pub-id-type="other">00606</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigo Original</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Inibidores do Cotransportador de S&#243;dio-Glicose 2 em Pacientes com Insufici&#234;ncia Card&#237;aca e Amiloidose por Transtirretina ou de Cadeias Leves: An&#225;lise do Mundo Real</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-5360-2986</contrib-id>
          <name>
            <surname>Nunes</surname>
            <given-names>Rafael Amorim Belo</given-names>
          </name>
          <role>Concep&#231;&#227;o e desenho da pesquisa</role>
          <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>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-4148-190X</contrib-id>
          <name>
            <surname>Costa</surname>
            <given-names>Leandro Menezes Alves da</given-names>
          </name>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-5685-3633</contrib-id>
          <name>
            <surname>Scudeler</surname>
            <given-names>Thiago Luis</given-names>
          </name>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Neves</surname>
            <given-names>Precil Diego Miranda Menezes</given-names>
          </name>
          <role>Obten&#231;&#227;o de dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sato</surname>
            <given-names>Victor Augusto Hamamoto</given-names>
          </name>
          <role>Obten&#231;&#227;o de dados</role>
          <role>Reda&#231;&#227;o do manuscrito</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Avezum</surname>
            <given-names>&#193;lvaro</given-names>
          </name>
          <role>An&#225;lise e interpreta&#231;&#227;o dos dados</role>
          <role>Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Hospital Alem&#227;o Oswaldo Cruz</institution>
          <institution content-type="orgdiv1">Departamento de Cardiologia</institution>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Departamento de Cardiologia - Hospital Alem&#227;o Oswaldo Cruz, S&#227;o Paulo, SP &#8211; Brasil</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution content-type="orgname">Hospital Alem&#227;o Oswaldo Cruz</institution>
          <institution content-type="orgdiv1">Departamento de Nefrologia</institution>
          <addr-line>
            <named-content content-type="city">S&#227;o Paulo</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brasil</country>
          <institution content-type="original">Departamento de Nefrologia - Hospital Alem&#227;o Oswaldo Cruz, S&#227;o Paulo, SP &#8211; Brasil</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><label>Correspond&#234;ncia:</label><bold>Rafael Amorim Belo Nunes</bold> &#8226; Hospital Alem&#227;o Oswaldo Cruz - Rua Treze de Maio 1815, 1&#176; subsolo, Bloco B. CEP <postal-code>01323-020</postal-code>, Bela Vista, S&#227;o Paulo, SP &#8211; Brasil Email: <email>ra.nunes16@gmail.com</email> </corresp>
        <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>
        <fn fn-type="coi-statement">
          <label>Potencial conflito de interesse</label>
          <p>N&#227;o h&#225; conflito com o presente artigo</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>02</day>
        <month>03</month>
        <year>2026</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2026</year>
      </pub-date>
      <volume>123</volume>
      <issue>1</issue>
      <elocation-id>e20250439</elocation-id>
      <history>
        <date date-type="received">
          <day>04</day>
          <month>08</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>17</day>
          <month>09</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>23</day>
          <month>10</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>As evid&#234;ncias sobre a efic&#225;cia dos inibidores do cotransportador de s&#243;dio-glicose 2 (iSGLT2) na insufici&#234;ncia card&#237;aca (IC) associada &#224; amiloidose permanecem limitadas.</p>
        </sec>
        <sec>
          <title>Objetivo:</title>
          <p>Avaliar o impacto dos iSGLT2 em pacientes com amiloidose por transtirretina amiloide (ATTR) ou por cadeias leves amiloides (AL) e IC.</p>
        </sec>
        <sec>
          <title>M&#233;todos:</title>
          <p>Utilizando dados globais de prontu&#225;rios eletr&#244;nicos, identificamos pacientes com idade &#8805; 18 anos com amiloidose por ATTR ou AL e IC. Ap&#243;s o pareamento, os desfechos foram comparados entre pacientes tratados com iSGLT2 e controles pareados, incluindo 2.036 pacientes com amiloidose por ATTR e 692 pacientes com amiloidose por AL. Os desfechos inclu&#237;ram mortalidade por todas as causas em 12 meses, hospitaliza&#231;&#227;o e desfechos renais. A signific&#226;ncia estat&#237;stica foi definida como p bilateral &lt; 0,05.</p>
        </sec>
        <sec>
          <title>Resultados:</title>
          <p>Entre os pacientes com amiloidose por ATTR, ocorreram 96 (9,43%) &#243;bitos no grupo iSGLT2, em compara&#231;&#227;o com 196 (19,2%) no grupo controle (<italic>hazard ratio</italic> [HR], 0,52; intervalo de confian&#231;a 95% [IC 95%], 0,41-0,66). Hospitaliza&#231;&#245;es ocorreram em 387 (38,0%) pacientes em uso de iSGLT2 e em 505 (49,6%) controles (HR, 0,74; IC 95%, 0,65-0,84). Desfechos renais foram observados em 204 (20,0%) pacientes no grupo iSGLT2 e em 298 (28,5%) no grupo controle (HR, 0,72; IC 95%, 0,60-0,86). Entre os pacientes com amiloidose por AL, ocorreram 39 (11,2%) &#243;bitos no grupo iSGLT2 e 80 (23,1%) no grupo controle (HR, 0,51; IC 95%, 0,34-0,74). Hospitaliza&#231;&#245;es ocorreram em 161 (46,5%) pacientes tratados com iSGLT2 e em 204 (58,96%) controles (HR, 0,71; IC 95%, 0,58-0,88). Desfechos renais ocorreram em 86 (24,8%) pacientes no grupo iSGLT2 e em 137 (39,6%) no grupo controle (HR, 0,60; IC 95%, 0,46-0,78).</p>
        </sec>
        <sec>
          <title>Conclus&#227;o:</title>
          <p>Em pacientes com IC decorrente de amiloidose por ATTR ou AL, o uso de iSGLT2 esteve associado a menor mortalidade por todas as causas, menor taxa de hospitaliza&#231;&#227;o e menor ocorr&#234;ncia de desfechos renais.</p>
        </sec>
      </abstract>
      <abstract abstract-type="graphical">
        <p>
          <fig id="f4">
            <caption>
              <title>AL: cadeias leves amiloides; ATTR: transtirretina amiloide; IC: insufici&#234;ncia card&#237;aca; IC 95%: intervalo de confian&#231;a de 95%; iSGLT2: inibidores do cotransportador de s&#243;dio-glicose 2; HR: hazard ratio; PEP: pareamento por escore de propens&#227;o.</title>
            </caption>
            <alternatives>
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          </fig>
        </p>
      </abstract>
      <kwd-group xml:lang="pt">
        <title>Palavras-chave:</title>
        <kwd>Amiloidose</kwd>
        <kwd>Insufici&#234;ncia Card&#237;aca</kwd>
        <kwd>Inibidores do Transportador 2 de S&#243;dio-Glicose</kwd>
        <kwd>Mortalidade</kwd>
      </kwd-group>
      <funding-group>
        <funding-statement><bold>Fontes de financiamento</bold> O presente estudo n&#227;o teve fontes de financiamento externas.</funding-statement>
      </funding-group>
      <counts>
        <fig-count count="8"/>
        <table-count count="4"/>
        <equation-count count="0"/>
        <ref-count count="23"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>A amiloidose &#233; uma doen&#231;a heterog&#234;nea caracterizada pela deposi&#231;&#227;o extracelular de fibrilas amiloides em diversos tecidos. At&#233; o momento, pelo menos 36 prote&#237;nas humanas distintas foram identificadas como precursoras de fibrilas amiloides. Entre elas, as cadeias leves de imunoglobulinas monoclonais, resultantes da prolifera&#231;&#227;o clonal anormal de plasm&#243;citos, e a transtirretina, prote&#237;na sintetizada no f&#237;gado, constituem os precursores mais frequentemente associados &#224; amiloidose.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> O acometimento card&#237;aco &#233; comum tanto na amiloidose por cadeias leves amiloides (AL) quanto na amiloidose por transtirretina amiloide (ATTR) e, em geral, leva ao desenvolvimento de cardiomiopatia restritiva e, consequentemente, insufici&#234;ncia card&#237;aca (IC).<sup><xref ref-type="bibr" rid="B2">2</xref></sup></p>
      <p>A deposi&#231;&#227;o de fibrilas amiloides no cora&#231;&#227;o pode envolver o mioc&#225;rdio, o peric&#225;rdio, o endoc&#225;rdio e a vasculatura, estando associada a progn&#243;stico desfavor&#225;vel e redu&#231;&#227;o acentuada da sobrevida global. Na amiloidose por AL n&#227;o tratada, o acometimento card&#237;aco associa-se a uma sobrevida m&#233;dia inferior a 6 meses.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> Entre pacientes com amiloidose por ATTR do tipo selvagem, a sobrevida m&#233;dia de 3,6-4,7 anos,<sup><xref ref-type="bibr" rid="B4">4</xref>,<xref ref-type="bibr" rid="B5">5</xref></sup> enquanto, na amiloidose por ATTR heredit&#225;ria relacionada &#224; variante gen&#233;tica Val122Ile, a sobrevida m&#233;dia estimada &#233; de aproximadamente 2,5 anos.<sup><xref ref-type="bibr" rid="B2">2</xref>,<xref ref-type="bibr" rid="B5">5</xref></sup> Avan&#231;os recentes modificaram a hist&#243;ria natural da amiloidose, incluindo esquemas terap&#234;uticos baseados em daratumumabe e bortezomibe, bem como o transplante aut&#243;logo de c&#233;lulas-tronco para a amiloidose por AL, al&#233;m do estabilizador de transtirretina tafamidis para a amiloidose por ATTR.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref></sup> Apesar desses avan&#231;os, a IC secund&#225;ria &#224; amiloidose card&#237;aca permanece uma condi&#231;&#227;o desafiadora, sendo caracterizada por elevada mortalidade, baixa tolerabilidade aos tratamentos e resposta sub&#243;tima &#224;s terapias convencionais para IC, incluindo inibidores da enzima conversora da angiotensina, inibidores do receptor de angiotensina&#8211;neprilisina e betabloqueadores.<sup><xref ref-type="bibr" rid="B8">8</xref></sup></p>
      <p>Os inibidores do cotransportador de s&#243;dio-glicose 2 (iSGLT2) demonstraram reduzir o risco combinado de morte cardiovascular e hospitaliza&#231;&#227;o em pacientes com IC ao longo de todo o espectro da fra&#231;&#227;o de eje&#231;&#227;o do ventr&#237;culo esquerdo (FEVE), incluindo FEVE reduzida, levemente reduzida e preservada.<sup><xref ref-type="bibr" rid="B9">9</xref>,<xref ref-type="bibr" rid="B10">10</xref></sup> Tais achados sugerem que os iSGLT2 podem representar uma op&#231;&#227;o terap&#234;utica potencial para pacientes com IC associada &#224; amiloidose. Na pr&#225;tica cl&#237;nica, os iSGLT2 t&#234;m sido utilizados de forma <italic>off label</italic> nessa popula&#231;&#227;o, uma vez que pacientes com amiloidose foram exclu&#237;dos dos ensaios cl&#237;nicos pivotais com essa classe farmacol&#243;gica. Consequentemente, as evid&#234;ncias cient&#237;ficas robustas sobre seu impacto nesse contexto espec&#237;fico permanecem limitadas. Diante desse cen&#225;rio, o presente estudo teve como objetivo avaliar o impacto em mundo real do uso de iSGLT2 sobre mortalidade e hospitaliza&#231;&#227;o em pacientes com amiloidose e IC, utilizando dados de uma ampla plataforma multinacional colaborativa.</p>
    </sec>
    <sec sec-type="methods">
      <title>M&#233;todos</title>
      <sec>
        <title>Fontes de dados</title>
        <p>Os dados foram obtidos da rede TriNetX (TriNetX, Inc., Cambridge, MA), uma plataforma global e colaborativa de pesquisa cl&#237;nica que agrega, em tempo real, prontu&#225;rios eletr&#244;nicos, incluindo informa&#231;&#245;es demogr&#225;ficas, diagn&#243;sticos, procedimentos, medicamentos, resultados laboratoriais e status vital. A rede &#233; composta por organiza&#231;&#245;es de sa&#250;de em todo o mundo e inclui dados de aproximadamente 142 milh&#245;es de indiv&#237;duos. A TriNetX disponibiliza acesso apenas a contagens agregadas e resumos estat&#237;sticos de dados n&#227;o identificados; assim, nenhuma informa&#231;&#227;o de sa&#250;de protegida ou identificador pessoal est&#225; dispon&#237;vel aos usu&#225;rios. Os dados foram extra&#237;dos e analisados a partir da Global Collaborative Network da plataforma TriNetX em 15 de mar&#231;o de 2024.</p>
      </sec>
      <sec>
        <title>Popula&#231;&#227;o do estudo</title>
        <p>A plataforma TriNetX foi consultada para identificar pacientes de ambos os sexos, com idade &#8805; 18 anos, diagnosticados com amiloidose por ATTR familiar ou do tipo selvagem, ou com amiloidose por AL, bem como com diagn&#243;stico de IC ou alguma cardiomiopatia. Os diagn&#243;sticos foram identificados por meio de c&#243;digos da Classifica&#231;&#227;o Internacional de Doen&#231;as, 10&#170; Revis&#227;o (CID-10), e de c&#243;digos espec&#237;ficos da TriNetX, registrados entre 14 de mar&#231;o de 2014 e 13 de mar&#231;o de 2023. Foram identificados pacientes que receberam tratamento com iSGLT2 (p.ex., empagliflozina, dapagliflozina ou canagliflozina) ap&#243;s o diagn&#243;stico de amiloidose, bem como pacientes controles pareados que n&#227;o utilizaram iSGLT2. No total, foram identificados 6.784 pacientes com amiloidose por ATTR e 2.839 pacientes com amiloidose por AL n&#227;o tratados com iSGLT2, constituindo o grupo controle, enquanto 1.099 pacientes com amiloidose por ATTR e 405 pacientes com amiloidose por AL estavam em uso de iSGLT2. Ap&#243;s o pareamento por escore de propens&#227;o (PEP) para vari&#225;veis demogr&#225;ficas e cl&#237;nicas, foram inclu&#237;dos nas an&#225;lises comparativas 2.036 pacientes com amiloidose por ATTR (1.018 em cada grupo) e 692 pacientes com amiloidose por AL (346 em cada grupo).</p>
      </sec>
      <sec>
        <title>Desenho do estudo</title>
        <p>Trata-se de um estudo de coorte retrospectivo, utilizando dados de organiza&#231;&#245;es de sa&#250;de participantes da rede TriNetX. O impacto do tratamento com iSGLT2 foi comparado ao de controles pareados em pacientes com amiloidose e IC. O desfecho prim&#225;rio foi a mortalidade por todas as causas. Os desfechos secund&#225;rios inclu&#237;ram hospitaliza&#231;&#227;o por todas as causas e um desfecho renal composto, definido como ocorr&#234;ncia de les&#227;o renal aguda (LRA) ou necessidade de terapia de substitui&#231;&#227;o renal (TSR) durante um per&#237;odo de seguimento de 12 meses. O fluxograma do estudo &#233; apresentado na <xref ref-type="fig" rid="f1">Figura 1</xref>.</p>
        <fig id="f1">
          <label>Figura 1</label>
          <caption>
            <title>Fluxograma do estudo para sele&#231;&#227;o dos pacientes, pareamento por escore de propens&#227;o e desfechos cl&#237;nicos. AL: cadeias leves amiloides; ATTR: transtirretina amiloide; IC: insufici&#234;ncia card&#237;aca; iSGLT2: inibidores do cotransportador de s&#243;dio-glicose 2; LRA: les&#227;o renal aguda; TSR: terapia de substitui&#231;&#227;o renal.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-123-01-e20250439-50439-gf01.tif"/></fig>
      </sec>
      <sec>
        <title>Covari&#225;veis basais</title>
        <p>Informa&#231;&#245;es sobre caracter&#237;sticas demogr&#225;ficas, comorbidades e uso de medicamentos foram extra&#237;das dos prontu&#225;rios eletr&#244;nicos para o pareamento por escore de propens&#227;o (PEP). As covari&#225;veis demogr&#225;ficas e cl&#237;nicas inclu&#237;ram idade; sexo e ra&#231;a (branca, preta ou afro-americana e outras ra&#231;as); sobrepeso ou obesidade; hipertens&#227;o arterial; doen&#231;a renal cr&#244;nica (DRC); dislipidemia; diabetes melito; doen&#231;a arterial coronariana (DAC); e tabagismo. Os dados de medica&#231;&#227;o inclu&#237;ram terapias cardiovasculares, como diur&#233;ticos, betabloqueadores, inibidores do sistema renina-angiotensina, inibidores da agrega&#231;&#227;o plaquet&#225;ria e agentes hipolipemiantes, bem como tratamentos espec&#237;ficos para amiloidose por AL (daratumumabe e bortezomibe) e para amiloidose por ATTR (tafamidis).</p>
      </sec>
      <sec>
        <title>An&#225;lise estat&#237;stica</title>
        <p>As vari&#225;veis cont&#237;nuas foram avaliadas quanto &#224; normalidade por meio do teste de Shapiro-Wilk e s&#227;o apresentadas como m&#233;dia &#177; desvio-padr&#227;o. As vari&#225;veis categ&#243;ricas s&#227;o descritas como n&#250;meros absolutos e porcentagens. As compara&#231;&#245;es entre vari&#225;veis cont&#237;nuas foram realizadas utilizando o teste t de Student n&#227;o pareado quando apresentaram distribui&#231;&#227;o normal, enquanto as vari&#225;veis categ&#243;ricas foram comparadas por meio do teste do qui-quadrado ou do teste exato de Fisher, conforme apropriado. O PEP foi utilizado para equilibrar as covari&#225;veis basais entre os grupos. Os escores de propens&#227;o foram estimados por regress&#227;o log&#237;stica, implementada com a fun&#231;&#227;o <italic>LogisticRegression</italic> do pacote <italic>scikit-learn</italic> em Python, vers&#227;o 3.7. As an&#225;lises de Kaplan&#8211;Meier foram conduzidas para estimar as probabilidades dos desfechos desde 1 dia at&#233; 12 meses ap&#243;s a data &#237;ndice, e as compara&#231;&#245;es entre grupos foram realizadas pelo teste de log-rank. Modelos de riscos proporcionais de Cox dependentes do tempo foram utilizados para calcular as <italic>hazard ratios</italic> (HRs) e seus respectivos intervalos de confian&#231;a de 95% (IC 95%), com avalia&#231;&#227;o da suposi&#231;&#227;o de riscos proporcionais baseada nos res&#237;duos de Schoenfeld escalonados, utilizando o pacote <italic>survival</italic> do R (vers&#227;o 3.2-3). O tratamento com iSGLT2 foi modelado como uma exposi&#231;&#227;o vari&#225;vel no tempo, de modo que indiv&#237;duos n&#227;o tratados no momento do diagn&#243;stico de amiloidose foram classificados como n&#227;o expostos desde o tempo zero at&#233; o dia anterior ao in&#237;cio do tratamento e como expostos a partir desse momento. Pacientes que utilizavam iSGLT2 no in&#237;cio do seguimento permaneceram classificados como expostos durante todo o per&#237;odo de acompanhamento, mesmo em caso de descontinua&#231;&#227;o da terapia. Os resultados foram validados por compara&#231;&#227;o com as sa&#237;das geradas pelo software SAS, vers&#227;o 9.4. Todas as an&#225;lises estat&#237;sticas foram realizadas dentro da plataforma TriNetX. A signific&#226;ncia estat&#237;stica foi definida como p bilateral &lt; 0,05.</p>
      </sec>
      <sec>
        <title>Considera&#231;&#245;es &#233;ticas</title>
        <p>Estudos derivados de dados da TriNetX, utilizando informa&#231;&#245;es desidentificadas, foram aprovados pelo Comit&#234; de &#201;tica em Pesquisa institucional do hospital participante.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <p>A Figura Central resume o desenho do estudo e os principais achados.</p>
      <sec>
        <title>Caracter&#237;sticas da popula&#231;&#227;o do estudo</title>
        <p>As <xref ref-type="table" rid="t1">Tabelas 1</xref> e <xref ref-type="table" rid="t2">2</xref> apresentam as caracter&#237;sticas basais dos pacientes com amiloidose por ATTR e AL antes e ap&#243;s o PEP, respectivamente. De modo geral, os pacientes com amiloidose por ATTR e AL eram adultos mais velhos e apresentavam elevada carga de comorbidades.</p>
        <table-wrap id="t1">
          <label>Tabela 1</label>
          <caption>
            <title>Caracter&#237;sticas basais de pacientes com amiloidose por ATTR familiar ou do tipo selvagem antes e ap&#243;s o PEP</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="12%">
              <col width="1%"/>
              <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" colspan="2" rowspan="2" valign="middle">Vari&#225;veis</th>
                <th align="center" colspan="2" style="border-right: thin solid; border-color: #000000" valign="middle">iSGLT2</th>
                <th align="center" colspan="2" valign="middle">Controles</th>
                <th align="center" style="border-left: thin solid; border-color: #000000" valign="middle">Valor p</th>
                <th align="center" valign="middle">Valor p</th>
              </tr>
              <tr style="background-color:#76B4CF;">
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">Antes do PEP<break/> (n = 1.099)</th>
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">Ap&#243;s o PEP<break/> (n = 1.018)</th>
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-left: thin solid; border-color: #000000" valign="middle">Antes do PEP<break/> (n = 6.784)</th>
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">Ap&#243;s o PEP<break/> (n = 1.018)</th>
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-left: thin solid; border-color: #000000" valign="middle">Antes do PEP</th>
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">Ap&#243;s o PEP</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                <td align="left" colspan="8" valign="middle">
                  <bold>Demogr&#225;ficas</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Idade, anos (DP)</td>
                <td align="center" valign="middle">74,3 (10,3)</td>
                <td align="center" valign="middle">74,0 (10,8)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">72,7 (11,8)</td>
                <td align="center" valign="middle">73,9 (11,7)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,83</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Masculino</td>
                <td align="center" valign="middle">744 (68%)</td>
                <td align="center" valign="middle">684 (67%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">4.231 (62%)</td>
                <td align="center" valign="middle">697 (68%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0,0001</td>
                <td align="center" valign="middle">0,62</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Feminino</td>
                <td align="center" valign="middle">265 (24%)</td>
                <td align="center" valign="middle">244 (24%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.897 (28%)</td>
                <td align="center" valign="middle">241 (24%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0,002</td>
                <td align="center" valign="middle">0,89</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Branca</td>
                <td align="center" valign="middle">574 (52%)</td>
                <td align="center" valign="middle">541 (53%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">3.744 (55%)</td>
                <td align="center" valign="middle">544 (53%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0,051</td>
                <td align="center" valign="middle">0,92</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Preta ou afro-americana</td>
                <td align="center" valign="middle">261 (24%)</td>
                <td align="center" valign="middle">232 (23%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.202 (18%)</td>
                <td align="center" valign="middle">236 (23%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,78</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Asi&#225;tica</td>
                <td align="center" valign="middle">24 (2%)</td>
                <td align="center" valign="middle">19 (2%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">101 (1%)</td>
                <td align="center" valign="middle">22 (2,1%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0,024</td>
                <td align="center" valign="middle">0,73</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Ra&#231;a desconhecida</td>
                <td align="center" valign="middle">197 (18%)</td>
                <td align="center" valign="middle">195 (19%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.535 (23%)</td>
                <td align="center" valign="middle">175 (17%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0,0002</td>
                <td align="center" valign="middle">0,29</td>
              </tr>
              <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                <td align="left" colspan="8" style="border-top: thin solid; border-color: #000000" valign="middle">
                  <bold>Comorbidades</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Hipertens&#227;o arterial</td>
                <td align="center" valign="middle">917 (83%)</td>
                <td align="center" valign="middle">855 (84%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">4.102 (60%)</td>
                <td align="center" valign="middle">843 (83%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,62</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Dislipidemia</td>
                <td align="center" valign="middle">777 (71%)</td>
                <td align="center" valign="middle">729 (72%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">3.348 (49%)</td>
                <td align="center" valign="middle">742 (73%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,67</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">DAC</td>
                <td align="center" valign="middle">702 (64%)</td>
                <td align="center" valign="middle">661 (65%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.694 (40%)</td>
                <td align="center" valign="middle">662 (65%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,92</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">FA</td>
                <td align="center" valign="middle">670 (61%)</td>
                <td align="center" valign="middle">601 (59%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.645 (39%)</td>
                <td align="center" valign="middle">611 (60%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,65</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Diabetes melito</td>
                <td align="center" valign="middle">489 (44%)</td>
                <td align="center" valign="middle">423 (41%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.461 (22%)</td>
                <td align="center" valign="middle">424 (42%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,75</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">DRC</td>
                <td align="center" valign="middle">545 (50%)</td>
                <td align="center" valign="middle">424 (42%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.200 (32%)</td>
                <td align="center" valign="middle">417 (41%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,63</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Sobrepeso ou obesidade</td>
                <td align="center" valign="middle">359 (33%)</td>
                <td align="center" valign="middle">315 (31%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.073 (16%)</td>
                <td align="center" valign="middle">295 (29%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,34</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Tabagismo</td>
                <td align="center" valign="middle">256 (23%)</td>
                <td align="center" valign="middle">241 (23%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.052 (16%)</td>
                <td align="center" valign="middle">247 (24%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,67</td>
              </tr>
              <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                <td align="left" colspan="8" style="border-top: thin solid; border-color: #000000" valign="middle">
                  <bold>Medicamentos</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Diur&#233;ticos de al&#231;a</td>
                <td align="center" valign="middle">933 (85%)</td>
                <td align="center" valign="middle">850 (83%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">3.603 (53%)</td>
                <td align="center" valign="middle">852 (83%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,92</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">ARM</td>
                <td align="center" valign="middle">567 (52%)</td>
                <td align="center" valign="middle">494 (48%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.285 (19%)</td>
                <td align="center" valign="middle">497 (49%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,74</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Betabloqueadores</td>
                <td align="center" valign="middle">828 (75%)</td>
                <td align="center" valign="middle">760 (75%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">3.432 (51%)</td>
                <td align="center" valign="middle">770 (76%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,71</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Inibidores da agrega&#231;&#227;o plaquet&#225;ria</td>
                <td align="center" valign="middle">670 (61%)</td>
                <td align="center" valign="middle">600 (59%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.781 (41%)</td>
                <td align="center" valign="middle">601 (59%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,99</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Agentes hipolipemiantes</td>
                <td align="center" valign="middle">797 (73%)</td>
                <td align="center" valign="middle">731 (72%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">3.253 (48%)</td>
                <td align="center" valign="middle">751 (74%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,33</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Inibidores do sistema renina-angiotensina</td>
                <td align="center" valign="middle">489 (44%)</td>
                <td align="center" valign="middle">441 (43%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.413 (21%)</td>
                <td align="center" valign="middle">446 (44%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,64</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Tafamidis</td>
                <td align="center" valign="middle">428 (39%)</td>
                <td align="center" valign="middle">336 (33%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">558 (8%)</td>
                <td align="center" valign="middle">330 (32%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,92</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN1">
              <p>ARM: antagonista do receptor mineralocorticoide; ATTR: transtirretina amiloide; DAC: doen&#231;a arterial coronariana; DP: desvio-padr&#227;o; DRC: doen&#231;a renal cr&#244;nica; FA: fibrila&#231;&#227;o atrial; iSGLT2: inibidores do cotransportador de s&#243;dio-glicose 2; PEP: pareamento por escore de propens&#227;o.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <table-wrap id="t2">
          <label>Tabela 2</label>
          <caption>
            <title>Caracter&#237;sticas basais de pacientes com amiloidose por AL antes e ap&#243;s o PEP</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup width="12%">
              <col width="1%"/>
              <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" colspan="2" rowspan="2" valign="middle">Vari&#225;veis</th>
                <th align="center" colspan="2" style="border-right: thin solid; border-color: #000000" valign="middle">iSGLT2</th>
                <th align="center" colspan="2" valign="middle">Controles</th>
                <th align="center" style="border-left: thin solid; border-color: #000000" valign="middle">Valor p</th>
                <th align="center" valign="middle">Valor p</th>
              </tr>
              <tr style="background-color:#76B4CF;">
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">Antes do PEP<break/> (n = 405)</th>
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">Ap&#243;s o PEP<break/> (n = 346)</th>
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-left: thin solid; border-color: #000000" valign="middle">Antes do PEP<break/> (n = 2.839)</th>
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">Ap&#243;s o PEP<break/> (n = 346)</th>
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-left: thin solid; border-color: #000000" valign="middle">Antes do PEP</th>
                <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">Ap&#243;s o PEP</th>
              </tr>
            </thead>
            <tbody style="border-bottom: thin solid; border-color: #000000">
              <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                <td align="left" colspan="8" valign="middle">
                  <bold>Demogr&#225;ficas</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Idade, anos (DP)</td>
                <td align="center" valign="middle">68,2 (10,1)</td>
                <td align="center" valign="middle">68,7 (10,6)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">68,2 (10,8)</td>
                <td align="center" valign="middle">69,0 (11,0)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1,00</td>
                <td align="center" valign="middle">0,67</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Masculino</td>
                <td align="center" valign="middle">237 (60%)</td>
                <td align="center" valign="middle">213 (62%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.011 (58%)</td>
                <td align="center" valign="middle">226 (65%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&#8212;</td>
                <td align="center" valign="middle">&#8212;</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Feminino</td>
                <td align="center" valign="middle">145 (37%)</td>
                <td align="center" valign="middle">125 (36%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.368 (39%)</td>
                <td align="center" valign="middle">112 (32%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0,37</td>
                <td align="center" valign="middle">0,36</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Branca</td>
                <td align="center" valign="middle">236 (60%)</td>
                <td align="center" valign="middle">211 (61%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.319 (66%)</td>
                <td align="center" valign="middle">210 (61%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0,37</td>
                <td align="center" valign="middle">0,26</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Preta ou afro-americana</td>
                <td align="center" valign="middle">80 (20%)</td>
                <td align="center" valign="middle">72 (21%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">531 (15%)</td>
                <td align="center" valign="middle">68 (19%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&#8212;</td>
                <td align="center" valign="middle">&#8212;</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Asi&#225;tica</td>
                <td align="center" valign="middle">14 (4%)</td>
                <td align="center" valign="middle">16 (5%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">78 (2%)</td>
                <td align="center" valign="middle">21 (6%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0,007</td>
                <td align="center" valign="middle">1,00</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Ra&#231;a desconhecida</td>
                <td align="center" valign="middle">39 (10%)</td>
                <td align="center" valign="middle">30 (9%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">409 (12%)</td>
                <td align="center" valign="middle">28 (8%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0,002</td>
                <td align="center" valign="middle">0,53</td>
              </tr>
              <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                <td align="left" colspan="8" style="border-top: thin solid; border-color: #000000" valign="middle">
                  <bold>Comorbidades</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Hipertens&#227;o arterial</td>
                <td align="center" valign="middle">318 (81%)</td>
                <td align="center" valign="middle">281 (81%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.910 (55%)</td>
                <td align="center" valign="middle">282 (81%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,75</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Dislipidemia</td>
                <td align="center" valign="middle">267 (68%)</td>
                <td align="center" valign="middle">243 (70%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.594 (46%)</td>
                <td align="center" valign="middle">249 (71%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,75</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">DAC</td>
                <td align="center" valign="middle">234 (59%)</td>
                <td align="center" valign="middle">198 (57%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.099 (31%)</td>
                <td align="center" valign="middle">194 (56%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,75</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">FA</td>
                <td align="center" valign="middle">190 (47%)</td>
                <td align="center" valign="middle">147 (42%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">645 (27%)</td>
                <td align="center" valign="middle">159 (46%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,32</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Diabetes melito</td>
                <td align="center" valign="middle">172 (44%)</td>
                <td align="center" valign="middle">140 (41%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">638 (18%)</td>
                <td align="center" valign="middle">146 (42%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,65</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">DRC</td>
                <td align="center" valign="middle">212 (54%)</td>
                <td align="center" valign="middle">179 (52%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.274 (36%)</td>
                <td align="center" valign="middle">182 (53%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,75</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Sobrepeso ou obesidade</td>
                <td align="center" valign="middle">148 (38%)</td>
                <td align="center" valign="middle">122 (35%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">589 (17%)</td>
                <td align="center" valign="middle">118 (34%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,75</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Tabagismo</td>
                <td align="center" valign="middle">89 (23%)</td>
                <td align="center" valign="middle">88 (25%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">538 (15%)</td>
                <td align="center" valign="middle">88 (25%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">1,00</td>
              </tr>
              <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                <td align="left" colspan="8" style="border-top: thin solid; border-color: #000000" valign="middle">
                  <bold>Medicamentos</bold>
                </td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Diur&#233;ticos de al&#231;a</td>
                <td align="center" valign="middle">359 (91%)</td>
                <td align="center" valign="middle">314 (90%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.892 (54%)</td>
                <td align="center" valign="middle">312 (90%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0,0001</td>
                <td align="center" valign="middle">1,00</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">ARM</td>
                <td align="center" valign="middle">231 (59%)</td>
                <td align="center" valign="middle">192 (55%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">594 (17%)</td>
                <td align="center" valign="middle">192 (55%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">1,00</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Betabloqueadores</td>
                <td align="center" valign="middle">271 (69%)</td>
                <td align="center" valign="middle">235 (69%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.534 (44%)</td>
                <td align="center" valign="middle">223 (64%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,26</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Inibidores da agrega&#231;&#227;o plaquet&#225;ria</td>
                <td align="center" valign="middle">239 (59%)</td>
                <td align="center" valign="middle">192 (55%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">956 (40%)</td>
                <td align="center" valign="middle">187 (54%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,75</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Agentes hipolipemiantes</td>
                <td align="center" valign="middle">275 (70%)</td>
                <td align="center" valign="middle">248 (71%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.588 (49%)</td>
                <td align="center" valign="middle">251 (72%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,75</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Inibidores do sistema renina-angiotensina</td>
                <td align="center" valign="middle">159 (40%)</td>
                <td align="center" valign="middle">135 (39%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">602 (17%)</td>
                <td align="center" valign="middle">123 (35%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,0001</td>
                <td align="center" valign="middle">0,32</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Bortezomibe</td>
                <td align="center" valign="middle">142 (36%)</td>
                <td align="center" valign="middle">100 (29%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">459 (13%)</td>
                <td align="center" valign="middle">99 (28%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,001</td>
                <td align="center" valign="middle">0,92</td>
              </tr>
              <tr style="background-color:#C7DFEC;">
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Ciclofosfamida</td>
                <td align="center" valign="middle">127 (32%)</td>
                <td align="center" valign="middle">92 (26%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">415 (12%)</td>
                <td align="center" valign="middle">91 (26%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,001</td>
                <td align="center" valign="middle">0,92</td>
              </tr>
              <tr>
                <td align="left" valign="middle"/>
                <td align="left" valign="middle">Daratumumabe</td>
                <td align="center" valign="middle">117 (30%)</td>
                <td align="center" valign="middle">78 (22%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">195 (6%)</td>
                <td align="center" valign="middle">72 (21%)</td>
                <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0,001</td>
                <td align="center" valign="middle">0,75</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN2">
              <p>AL: cadeias leves amiloides; ARM: antagonista do receptor mineralocorticoide; DAC: doen&#231;a arterial coronariana; DP: desvio-padr&#227;o; DRC: doen&#231;a renal cr&#244;nica; FA: fibrila&#231;&#227;o atrial; iSGLT2: inibidores do cotransportador de s&#243;dio-glicose 2; PEP: pareamento por escore de propens&#227;o.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Antes do PEP, os pacientes com amiloidose por ATTR no grupo iSGLT2 eram mais velhos e apresentavam maior propor&#231;&#227;o de homens em compara&#231;&#227;o ao grupo controle. Al&#233;m disso, apresentavam maior preval&#234;ncia de hipertens&#227;o arterial, DAC, diabetes melito, sobrepeso ou obesidade, dislipidemia, DRC, hist&#243;rico de tabagismo e fibrila&#231;&#227;o atrial (FA).</p>
        <p>Entre os pacientes com amiloidose por AL, aqueles no grupo iSGLT2 apresentaram distribui&#231;&#227;o et&#225;ria e propor&#231;&#227;o de homens semelhantes &#224;s do grupo controle, por&#233;m inclu&#237;am menor propor&#231;&#227;o de pacientes brancos. Ainda assim, o grupo iSGLT2 apresentou maior preval&#234;ncia de hipertens&#227;o arterial, DAC, diabetes melito, sobrepeso ou obesidade, dislipidemia, DRC, hist&#243;rico de tabagismo e FA.</p>
      </sec>
      <sec>
        <title>Desfechos em pacientes com amiloidose por transtirretina ap&#243;s o pareamento por escore de propens&#227;o</title>
        <p>Ap&#243;s o PEP, foram inclu&#237;dos 1.018 pacientes com amiloidose por ATTR em cada grupo. Durante o seguimento de 12 meses, 96 pacientes (9,4%) no grupo iSGLT2 evolu&#237;ram para &#243;bito, em compara&#231;&#227;o com 196 pacientes (19,2%) no grupo controle (HR, 0,52; IC 95%, 0,41-0,66). Hospitaliza&#231;&#245;es ocorreram em 387 pacientes (38,0%) no grupo iSGLT2 e em 505 pacientes (49,6%) no grupo controle (HR, 0,74; IC 95%, 0,65-0,84). Os desfechos renais, definidos como ocorr&#234;ncia de LRA ou necessidade de TSR, foram observados em 204 pacientes (20,0%) no grupo iSGLT2 e em 298 pacientes (28,5%) no grupo controle (HR, 0,72; IC 95%, 0,60-0,86). As curvas de Kaplan-Meier para os desfechos prim&#225;rio e secund&#225;rios ao longo de 12 meses em pacientes com amiloidose por ATTR s&#227;o apresentadas na <xref ref-type="fig" rid="f2">Figura 2</xref>.</p>
        <fig id="f2">
          <label>Figura 2</label>
          <caption>
            <title>Curvas de sobrevida de Kaplan-Meier em 12 meses em pacientes com amiloidose por ATTR ap&#243;s o pareamento por escore de propens&#227;o. ATTR: transtirretina amiloide; HR: <italic>hazard ratio</italic>; iSGLT2: inibidores do cotransportador de s&#243;dio-glicose 2; LRA: les&#227;o renal aguda; TSR: terapia de substitui&#231;&#227;o renal.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-123-01-e20250439-50439-gf02.tif"/></fig>
      </sec>
      <sec>
        <title>Desfechos em pacientes com amiloidose por cadeias leves ap&#243;s o pareamento por escore de propens&#227;o</title>
        <p>Ap&#243;s o PEP, 346 pacientes com amiloidose por AL foram inclu&#237;dos em cada grupo. Durante o seguimento, ocorreram 39 &#243;bitos (11,3%) no grupo iSGLT2 e 80 &#243;bitos (23,1%) no grupo controle (HR, 0,51; IC 95%, 0,34-0,74). Hospitaliza&#231;&#245;es foram observadas em 161 pacientes (46,5%) no grupo iSGLT2 e em 204 pacientes (58,9%) no grupo controle (HR, 0,71; IC 95%, 0,58-0,88). Os desfechos renais ocorreram em 86 pacientes (24,8%) no grupo iSGLT2 e em 137 pacientes (39,5%) no grupo controle (HR, 0,60; IC 95%, 0,46-0,78). As curvas de Kaplan-Meier para os desfechos prim&#225;rio e secund&#225;rios em pacientes com amiloidose por AL ao longo do seguimento de 12 meses s&#227;o apresentadas na <xref ref-type="fig" rid="f3">Figura 3</xref>.</p>
        <fig id="f3">
          <label>Figura 3</label>
          <caption>
            <title>Curvas de sobrevida de Kaplan-Meier em 12 meses em pacientes com amiloidose por AL ap&#243;s o pareamento por escore de propens&#227;o. AL: cadeias leves amiloides; HR: <italic>hazard ratio</italic>; iSGLT2: inibidores do cotransportador de s&#243;dio-glicose 2; LRA: les&#227;o renal aguda; TSR: terapia de substitui&#231;&#227;o renal.</title>
          </caption>
          <graphic xlink:href="1678-4170-abc-123-01-e20250439-50439-gf03.tif"/></fig>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discuss&#227;o</title>
      <p>Neste estudo de coorte retrospectivo, o uso de iSGLT2 esteve associado a menor risco de mortalidade por todas as causas em 12 meses, hospitaliza&#231;&#227;o e desfechos renais em pacientes com amiloidose de diferentes etiologias e IC.</p>
      <p>Os efeitos protetores dos iSGLT2 em pacientes com amiloidose e IC podem estar relacionados &#224;s suas a&#231;&#245;es mioc&#225;rdicas, incluindo redu&#231;&#227;o do estresse oxidativo e da inflama&#231;&#227;o, melhora da homeostase i&#244;nica card&#237;aca e otimiza&#231;&#227;o do metabolismo energ&#233;tico do mioc&#225;rdio.<sup><xref ref-type="bibr" rid="B11">11</xref></sup> Al&#233;m disso, mecanismos extracard&#237;acos podem contribuir para os benef&#237;cios observados nos desfechos renais, particularmente no contexto do acometimento renal pela amiloidose. Esses mecanismos incluem redu&#231;&#227;o da press&#227;o intraglomerular, altera&#231;&#245;es metab&#243;licas renais e diminui&#231;&#227;o do estresse oxidativo decorrente da menor carga de glicose no t&#250;bulo-interst&#237;cio, fatores que podem desempenhar papel relevante na atenua&#231;&#227;o dos desfechos adversos observados neste estudo.<sup><xref ref-type="bibr" rid="B12">12</xref></sup></p>
      <p>Diversos estudos avaliaram os efeitos dos iSGLT2 em pacientes com amiloidose, especialmente na cardiomiopatia amiloide por ATTR (CM-ATTR). Em um estudo pr&#233;-cl&#237;nico utilizando modelos murinos humanizados RBP4/TTRVal50Met e RBP4/TTR, o tratamento com dapagliflozina por 4 semanas n&#227;o se associou a melhora em biomarcadores, incluindo n&#237;veis plasm&#225;ticos do pept&#237;deo natriur&#233;tico tipo B (BNP), inflama&#231;&#227;o card&#237;aca ou altera&#231;&#245;es patol&#243;gicas.<sup><xref ref-type="bibr" rid="B13">13</xref></sup> Em contraste, um pequeno estudo retrospectivo com pacientes com amiloidose por ATTR e IC em uso de tafamidis demonstrou que o in&#237;cio da dapagliflozina foi bem tolerado, associado a poucos eventos adversos e resultou em redu&#231;&#227;o dos n&#237;veis de BNP N-terminal (NT-proBNP) em 13 de 17 pacientes.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> Outro estudo observacional envolvendo 15 pacientes com amiloidose por ATTR e diabetes melito relatou boa tolerabilidade e seguran&#231;a, embora desfechos cl&#237;nicos duros n&#227;o tenham sido avaliados.<sup><xref ref-type="bibr" rid="B15">15</xref></sup></p>
      <p>Mais recentemente, estudos observacionais e metan&#225;lises ampliaram a investiga&#231;&#227;o sobre os efeitos dos iSGLT2 em pacientes com CM-ATTR. Em um estudo de coorte multic&#234;ntrico que comparou terapia com iSGLT2 ao tratamento padr&#227;o, 220 pacientes foram inclu&#237;dos em cada grupo ap&#243;s pareamento por escore de propens&#227;o para vari&#225;veis cl&#237;nicas e laboratoriais, como idade e n&#237;veis de NT-proBNP. Durante um seguimento de 28 meses, os pacientes tratados com iSGLT2 apresentaram menor mortalidade por todas as causas, mortalidade cardiovascular e hospitaliza&#231;&#227;o por IC.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> Apesar das diferen&#231;as nas caracter&#237;sticas populacionais, covari&#225;veis e desfechos avaliados, esses achados s&#227;o consistentes com os resultados do presente estudo. Utilizando a mesma plataforma TriNetX, Jaiswal et al.<sup><xref ref-type="bibr" rid="B17">17</xref></sup> avaliaram desfechos em 1 m&#234;s, 1 ano e 3 anos em pacientes com CM-ATTR tratados com iSGLT2 em compara&#231;&#227;o aos controles. O uso de iSGLT2 associou-se a redu&#231;&#245;es significativas na mortalidade por todas as causas, eventos cardiovasculares adversos maiores e acidente vascular cerebral isqu&#234;mico. Embora ambos os estudos tenham demonstrado redu&#231;&#227;o da mortalidade por todas as causas, a presente an&#225;lise amplia esses achados ao incluir pacientes com cardiomiopatia por AL, restringir a popula&#231;&#227;o a indiv&#237;duos com IC manifesta e avaliar desfechos adicionais, como hospitaliza&#231;&#227;o e desfechos renais.<sup><xref ref-type="bibr" rid="B17">17</xref></sup></p>
      <p>As metan&#225;lises tamb&#233;m corroboram essas observa&#231;&#245;es. Em uma metan&#225;lise de cinco estudos observacionais envolvendo 5.101 pacientes com CM-ATTR (2.528 tratados com iSGLT2 e 2.573 controles), o uso de iSGLT2 associou-se a menores taxas de mortalidade por todas as causas e cardiovascular, hospitaliza&#231;&#227;o e redu&#231;&#227;o dos n&#237;veis de NT-proBNP.<sup><xref ref-type="bibr" rid="B18">18</xref></sup> Outra metan&#225;lise, incluindo cinco estudos observacionais e 9.766 pacientes com CM-ATTR, demonstrou que os iSGLT2 estiveram associados a menor risco de morte por todas as causas e cardiovascular, hospitaliza&#231;&#227;o por IC e arritmias.<sup><xref ref-type="bibr" rid="B19">19</xref></sup> De forma consistente, todas as publica&#231;&#245;es recentes destacam a necessidade de ensaios cl&#237;nicos randomizados para confirmar esses achados em pacientes com amiloidose.</p>
      <p>Ensaios cl&#237;nicos randomizados de grande porte com iSGLT2, como o EMPEROR-Preserved (<italic>Empagliflozin in Heart Failure with a Preserved Ejection Fraction</italic>)<sup><xref ref-type="bibr" rid="B9">9</xref></sup> e o DELIVER (<italic>Dapagliflozin in Heart Failure with Mildly Reduced or Preserved Ejection Fraction</italic>),<sup><xref ref-type="bibr" rid="B10">10</xref></sup> demonstraram redu&#231;&#227;o do desfecho composto de morte cardiovascular e hospitaliza&#231;&#227;o por IC em pacientes com FEVE preservada, com os efeitos sendo predominantemente impulsionados pela redu&#231;&#227;o das hospitaliza&#231;&#245;es. Entretanto, pacientes com cardiomiopatias infiltrativas, incluindo amiloidose card&#237;aca, foram exclu&#237;dos desses ensaios, limitando a aplicabilidade de seus resultados a essa popula&#231;&#227;o. Nesse contexto, os achados do presente estudo sugerem que pacientes com amiloidose e IC podem obter benef&#237;cios semelhantes em termos de mortalidade, hospitaliza&#231;&#227;o e desfechos renais.</p>
      <p>Os efeitos nefroprotetores dos iSGLT2 em pacientes com DRC, com ou sem diabetes melito tipo 2, est&#227;o bem estabelecidos e foram demonstrados em ensaios como EMPA-REG OUTCOME (<italic>Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes</italic>) e DECLARE&#8211;TIMI 58 (<italic>Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes</italic>).<sup><xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref></sup> Esses efeitos s&#227;o atribu&#237;dos a mecanismos que incluem redu&#231;&#227;o da hiperfiltra&#231;&#227;o e da les&#227;o glomerular, diminui&#231;&#227;o do consumo energ&#233;tico renal e atenua&#231;&#227;o de vias inflamat&#243;rias, fibr&#243;ticas e pr&#243;-apopt&#243;ticas.<sup><xref ref-type="bibr" rid="B22">22</xref></sup> O acometimento renal na amiloidose decorre da deposi&#231;&#227;o de fibrilas amiloides nos glom&#233;rulos, vasos e interst&#237;cio, resultando em protein&#250;ria significativa e progress&#227;o para insufici&#234;ncia renal.<sup><xref ref-type="bibr" rid="B23">23</xref></sup> A atenua&#231;&#227;o desses processos patol&#243;gicos pode explicar a melhora dos desfechos renais observada em pacientes com amiloidose tratados com iSGLT2 neste estudo.</p>
      <p>Este estudo apresenta pontos fortes e limita&#231;&#245;es inerentes ao seu desenho retrospectivo e ao uso de dados da plataforma TriNetX. Entre os pontos fortes, destacam-se a grande coorte multinacional de pacientes com CM-ATTR e cardiomiopatia por AL e IC, bem como o ajuste para vari&#225;veis demogr&#225;ficas relevantes, comorbidades e terapias modificadoras da doen&#231;a, como tafamidis, daratumumabe e bortezomibe. As limita&#231;&#245;es incluem a depend&#234;ncia de dados de prontu&#225;rios eletr&#244;nicos e de codifica&#231;&#227;o por CID-10, sem adjudica&#231;&#227;o formal de diagn&#243;sticos ou desfechos. A elevada preval&#234;ncia de condi&#231;&#245;es cardiovasculares concomitantes, como hipertens&#227;o arterial e DAC, dificulta a avalia&#231;&#227;o de suas contribui&#231;&#245;es individuais para a IC no contexto da amiloidose. Ainda assim, pacientes com amiloidose s&#227;o tipicamente mais idosos e apresentam alta carga de comorbidades, o que refor&#231;a a relev&#226;ncia de avaliar terapias para amiloidose nesse cen&#225;rio cl&#237;nico. Outras limita&#231;&#245;es incluem informa&#231;&#245;es incompletas sobre descontinua&#231;&#227;o do tratamento durante o seguimento e a aus&#234;ncia de dados de FEVE em parcela substancial dos pacientes, o que impediu a estratifica&#231;&#227;o por fen&#243;tipo de FEVE. Como se trata de uma an&#225;lise retrospectiva, os achados devem ser interpretados como geradores de hip&#243;teses, e n&#227;o como conclusivos. No entanto, diante da consist&#234;ncia das associa&#231;&#245;es observadas, os resultados refor&#231;am a necessidade de ensaios cl&#237;nicos randomizados prospectivos que avaliem o uso de iSGLT2 em pacientes com amiloidose card&#237;aca.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclus&#227;o</title>
      <p>Neste estudo de coorte retrospectivo com pacientes com IC decorrente de amiloidose por ATTR e AL, o uso de iSGLT2 esteve associado a menor mortalidade por todas as causas, menor taxa de hospitaliza&#231;&#227;o e menor ocorr&#234;ncia de desfechos renais. Evid&#234;ncias adicionais provenientes de ensaios cl&#237;nicos randomizados s&#227;o necess&#225;rias para confirmar a efic&#225;cia dos iSGLT2 em pacientes com amiloidose.</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>N&#227;o h&#225; vincula&#231;&#227;o deste estudo a programas de p&#243;s-gradua&#231;&#227;o.</p>
      </fn>
      <fn fn-type="other" id="fn3">
        <label>Aprova&#231;&#227;o &#233;tica e consentimento informado</label>
        <p>Este artigo n&#227;o cont&#233;m estudos com humanos ou animais realizados por nenhum dos autores.</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">
      <title>Disponibilidade de Dados</title>
      <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.</p>
    </sec>
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      </contrib-group>
      <author-notes>
        <corresp id="c2"><label>Mailing Address:</label><bold>Rafael Amorim Belo Nunes</bold> &#8226; Hospital Alem&#227;o Oswaldo Cruz - Rua Treze de Maio 1815, 1&#176; subsolo, Bloco B. Postal Code 01323-020, Bela Vista, S&#227;o Paulo, SP &#8211; Brazil Email: ra.nunes16@gmail.com</corresp>
        <fn fn-type="coi-statement">
          <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>Evidence regarding the efficacy of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in amyloidosis-related heart failure (HF) remains limited.</p>
        </sec>
        <sec>
          <title>Objective:</title>
          <p>To evaluate the impact of SGLT2i in patients with amyloid transthyretin (ATTR) or amyloid light-chain (AL) amyloidosis and HF.</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>By using global electronic medical record data, we identified patients aged &#8805; 18 years with ATTR or AL amyloidosis and HF. After matching, outcomes were compared between patients treated with SGLT2i and matched controls, including 2,036 patients with ATTR amyloidosis and 692 patients with AL amyloidosis. Endpoints included 12-month all-cause mortality, hospitalization, and kidney outcomes. Statistical significance was defined as a two-sided p &lt; 0.05.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>A total of 96 (9.43%) deaths occurred among patients with ATTR amyloidosis in the SGLT2i group, compared to 196 (19.2%) in the control group (hazard ratio [HR], 0.52; 95% CI, 0.41-0.66). Hospitalization occurred in 387 (38.0%) patients receiving SGLT2i and in 505 (49.6%) controls (HR, 0.74; 95% CI, 0.65-0.84). Kidney outcomes were observed in 204 (20.0%) patients in the SGLT2i group and 298 (28.5%) in the control group (HR, 0.72; 95% CI, 0.60-0.86). Among patients with AL amyloidosis, 39 (11.2%) deaths occurred in the SGLT2i group and 80 (23.1%) in the control group (HR, 0.51; 95% CI, 0.34-0.74). Hospitalization occurred in 161 (46.5%) patients treated with SGLT2i and in 204 (58.96%) controls (HR, 0.71; 95% CI, 0.58-0.88). Kidney outcomes occurred in 86 (24.8%) patients in the SGLT2i group and 137 (39.6%) in the control group (HR, 0.60; 95% CI, 0.46-0.78).</p>
        </sec>
        <sec>
          <title>Conclusion:</title>
          <p>In patients with HF due to ATTR or AL amyloidosis, the use of SGLT2i was associated with lower all-cause mortality, hospitalization, and kidney outcomes.</p>
        </sec>
      </abstract>
      <abstract abstract-type="graphical">
        <p>
          <fig id="f8">
            <caption>
              <title>AL: amyloid light-chain; ATTR: amyloid transthyretin; HF: heart failure; HR: hazard ratio; PSM: propensity score matching; SGLT2i: sodium-glucose cotransporter 2 inhibitors</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-123-01-e20250439-50439-gf01-en.tif"/></fig>
        </p>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Amyloidosis</kwd>
        <kwd>Heart Failure</kwd>
        <kwd>Sodium-Glucose Transporter 2 Inhibitors</kwd>
        <kwd>Mortality</kwd>
      </kwd-group>
      <funding-group>
        <funding-statement><bold>Sources of funding</bold> There were no external funding sources for this study.</funding-statement>
      </funding-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>Amyloidosis is a heterogeneous disease characterized by the extracellular deposition of amyloid fibrils in multiple tissues. To date, at least 36 distinct human proteins have been identified as precursors of amyloid fibrils. Among these, misfolded monoclonal immunoglobulin light chains resulting from abnormal clonal plasma cell proliferation and transthyretin, a protein synthesized in the liver, are the precursors most commonly associated with amyloidosis.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> Heart involvement is frequent in both amyloid light-chain (AL) and amyloid transthyretin (ATTR) amyloidosis and typically leads to restrictive cardiomyopathy and, consequently, heart failure (HF).<sup><xref ref-type="bibr" rid="B2">2</xref></sup></p>
        <p>Amyloid fibril deposition in the heart may involve the myocardium, pericardium, endocardium, and vasculature and is associated with poor prognosis and a marked reduction in overall survival. In untreated AL amyloidosis, heart involvement is associated with an average survival of fewer than 6 months.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> Among patients with wild-type ATTR amyloidosis, mean survival ranges of 3.6-4.7 years,<sup><xref ref-type="bibr" rid="B4">4</xref>,<xref ref-type="bibr" rid="B5">5</xref></sup> whereas in hereditary ATTR amyloidosis related to the Val122Ile genetic variant, mean survival is estimated at 2.5 years.<sup><xref ref-type="bibr" rid="B2">2</xref>,<xref ref-type="bibr" rid="B5">5</xref></sup> Recent advances have modified the natural history of amyloidosis, including daratumumab-bortezomib-based regimens and autologous stem cell transplantation for AL amyloidosis, as well as the transthyretin stabilizer tafamidis for ATTR amyloidosis.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref></sup> Despite these advances, HF secondary to cardiac amyloidosis remains a challenging condition, characterized by high mortality, poor treatment tolerance, and suboptimal response to conventional HF therapies, including angiotensin-converting enzyme inhibitors, angiotensin receptor-neprilysin inhibitors, and beta-blockers.<sup><xref ref-type="bibr" rid="B8">8</xref></sup></p>
        <p>Sodium-glucose cotransporter 2 inhibitors (SGLT2i) have been shown to reduce the combined risk of cardiovascular death and hospitalization in patients with HF across the spectrum of left ventricular ejection fraction (LVEF), including reduced, mildly reduced, and preserved LVEF.<sup><xref ref-type="bibr" rid="B9">9</xref>,<xref ref-type="bibr" rid="B10">10</xref></sup> These findings suggest that SGLT2i may represent a potential therapeutic option for patients with amyloidosis-related HF. In clinical practice, SGLT2i have been used off label in this population, as patients with amyloidosis were excluded from pivotal SGLT2i trials. Consequently, robust scientific evidence regarding their impact in this specific setting remains limited. To address this gap, the present study aimed to evaluate the real-world impact of SGLT2i on mortality and hospitalization in patients with amyloidosis and HF, using data from a large, collaborative, multinational platform.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <sec>
          <title>Data source</title>
          <p>Data were obtained from the TriNetX network (TriNetX, Inc., Cambridge, MA), a global, collaborative clinical research platform that aggregates real-time electronic medical records, including demographics, diagnoses, procedures, medications, laboratory results, and vital status. The network comprises health care organizations worldwide and includes data from approximately 142 million individuals. TriNetX provides access to aggregated counts and statistical summaries of deidentified data; therefore, no protected health information or personal identifiers are available to users. Data were extracted and analyzed from the Global Collaborative Network on the TriNetX platform on March 15, 2024.</p>
        </sec>
        <sec>
          <title>Study population</title>
          <p>TriNetX was queried to identify patients of both sexes aged &#8805; 18 years with familial or wild-type ATTR amyloidosis or AL amyloidosis as well as a diagnosis of HF or cardiomyopathy. Diagnoses were identified using International Classification of Diseases, 10th Revision (ICD-10) codes and TriNetX-specific codes recorded between March 14, 2014, and March 13, 2023. Patients receiving SGLT2i (e.g., empagliflozin, dapagliflozin, or canagliflozin) after the diagnosis of amyloidosis were identified, along with matched control patients not treated with SGLT2i. In total, 6,784 patients with ATTR amyloidosis and 2,839 patients with AL amyloidosis who were not treated with SGLT2i were identified as controls, whereas 1,099 patients with ATTR amyloidosis and 405 patients with AL amyloidosis were receiving SGLT2i therapy. After propensity score matching for demographic and clinical variables, 2,036 patients with ATTR amyloidosis (1,018 in each group) and 692 patients with AL amyloidosis (346 in each group) were included in the comparative analyses.</p>
        </sec>
        <sec>
          <title>Study design</title>
          <p>This was a retrospective cohort study using data from health care organizations participating in the TriNetX network. The impact of SGLT2i therapy was compared with that of matched controls in patients with amyloidosis and HF. The primary endpoint was all-cause mortality. Secondary outcomes included all-cause hospitalization and a composite kidney outcome defined as acute kidney injury (AKI) or the need for kidney replacement therapy (KRT) during a 12-month follow-up period. The study flowchart is presented in <xref ref-type="fig" rid="f5">Figure 1</xref>.</p>
          <fig id="f5">
            <label>Figure 1</label>
            <caption>
              <title>Study flowchart of patient selection, propensity score matching, and clinical endpoints. AKI: acute kidney injury; AL: amyloid light-chain; ATTR: amyloid transthyretin; HF: heart failure; KRT: kidney replacement therapy; SGLT2i: sodium-glucose cotransporter 2 inhibitors.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-123-01-e20250439-50439-gf02-en.tif"/></fig>
        </sec>
        <sec>
          <title>Baseline covariates</title>
          <p>Information regarding demographic characteristics, comorbidities, and medication use was extracted from electronic medical records for propensity score matching (PSM). Demographic and clinical covariates included i) age; ii) sex and race (White, Black or African American, and other races); iii) overweight or obesity; iv) hypertension; v) chronic kidney disease (CKD); vi) dyslipidemia; vii) diabetes mellitus; viii) ischemic heart disease (IHD); ix) smoking status. Medication data included cardiovascular therapies such as diuretics, beta-blockers, angiotensin inhibitors, platelet aggregation inhibitors, and antilipemic agents as well as disease-specific treatments for AL amyloidosis (daratumumab and bortezomib) and ATTR amyloidosis (tafamidis).</p>
        </sec>
        <sec>
          <title>Statistical analysis</title>
          <p>Continuous variables were assessed for normality using the Shapiro-Wilk test and are presented as mean &#177; standard deviation. Categorical variables are reported as absolute numbers and percentages. Comparisons of continuous variables were performed using the unpaired Student's <italic>t</italic>-test when normally distributed, whereas categorical variables were compared using the chi-square test or Fisher's exact test, as appropriate. Propensity score matching was used to balance baseline covariates between groups. Propensity scores were estimated using logistic regression implemented with the LogisticRegression function from the "scikit-learn" package in Python version 3.7. Kaplan-Meier analyses were conducted to estimate outcome probabilities from 1 day up to 12 months after the index date, and between-group comparisons were performed using the log-rank test. Time-dependent Cox proportional hazards models were used to calculate hazard ratios (HRs) and corresponding 95% CIs, with assessment of the proportional hazards assumption based on scaled Schoenfeld residuals, using the "survival" package for R (version 3.2-3). SGLT2i therapy was modeled as a time-varying exposure, whereby individuals not receiving SGLT2i at the time of amyloidosis diagnosis were classified as not exposed from time zero until the day before treatment initiation and as under treatment thereafter. Patients receiving SGLT2i at baseline remained classified as under treatment throughout follow-up, even if therapy was discontinued. Results were validated by comparison with outputs generated using SAS software, version 9.4. All statistical analyses were conducted within the TriNetX platform. Statistical significance was defined as a two-sided p &lt; 0.05.</p>
        </sec>
        <sec>
          <title>Ethical considerations</title>
          <p>Studies derived from TriNetX data using deidentified information were approved by the Institutional Review Board of the participating hospital.</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>Central Illustration summarizes the study design and the main findings.</p>
        <sec>
          <title>Characteristics of the study population</title>
          <p><xref ref-type="table" rid="t3">Tables 1</xref> and <xref ref-type="table" rid="t4">2</xref> present the baseline characteristics of patients with ATTR and AL amyloidosis before and after propensity score matching, respectively. Overall, patients with ATTR and AL amyloidosis were older adults with a high burden of comorbidities.</p>
          <table-wrap id="t3">
            <label>Table 1</label>
            <caption>
              <title>Baseline characteristics of patients with familial amyloidosis or wild-type ATTR amyloidosis before and after PSM</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup width="12%">
                <col width="1%"/>
                <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" colspan="2" rowspan="2" valign="middle">Variables</th>
                  <th align="center" colspan="2" style="border-right: thin solid; border-color: #000000" valign="middle">SGLT2i</th>
                  <th align="center" colspan="2" valign="middle">Controls</th>
                  <th align="center" style="border-left: thin solid; border-color: #000000" valign="middle">p-value</th>
                  <th align="center" valign="middle">p-value</th>
                </tr>
                <tr style="background-color:#76B4CF;">
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">Before PSM<break/> (n = 1,099)</th>
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">After PSM<break/> (n = 1,018)</th>
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-left: thin solid; border-color: #000000" valign="middle">Before PSM<break/> (n = 6,784)</th>
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">After PSM<break/> (n = 1,018)</th>
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-left: thin solid; border-color: #000000" valign="middle">Before PSM</th>
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">After PSM</th>
                </tr>
              </thead>
              <tbody style="border-bottom: thin solid; border-color: #000000">
                <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                  <td align="left" colspan="8" style="border-top: thin solid; border-color: #000000" valign="middle">
                    <bold>Demographics</bold>
                  </td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Age, years (SD)</td>
                  <td align="center" valign="middle">74.3 (10.3)</td>
                  <td align="center" valign="middle">74.0 (10.8)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">72.7 (11.8)</td>
                  <td align="center" valign="middle">73.9 (11.7)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.83</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Male</td>
                  <td align="center" valign="middle">744 (68%)</td>
                  <td align="center" valign="middle">684 (67%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">4.231 (62%)</td>
                  <td align="center" valign="middle">697 (68%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0.0001</td>
                  <td align="center" valign="middle">0.62</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Female</td>
                  <td align="center" valign="middle">265 (24%)</td>
                  <td align="center" valign="middle">244 (24%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.897 (28%)</td>
                  <td align="center" valign="middle">241 (24%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0.002</td>
                  <td align="center" valign="middle">0.89</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">White</td>
                  <td align="center" valign="middle">574 (52%)</td>
                  <td align="center" valign="middle">541 (53%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">3.744 (55%)</td>
                  <td align="center" valign="middle">544 (53%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0.051</td>
                  <td align="center" valign="middle">0.92</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Black or African American</td>
                  <td align="center" valign="middle">261 (24%)</td>
                  <td align="center" valign="middle">232 (23%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.202 (18%)</td>
                  <td align="center" valign="middle">236 (23%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.78</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Asian</td>
                  <td align="center" valign="middle">24 (2%)</td>
                  <td align="center" valign="middle">19 (2%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">101 (1%)</td>
                  <td align="center" valign="middle">22 (2.1%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0.024</td>
                  <td align="center" valign="middle">0.73</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Unknown race</td>
                  <td align="center" valign="middle">197 (18%)</td>
                  <td align="center" valign="middle">195 (19%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.535 (23%)</td>
                  <td align="center" valign="middle">175 (17%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0.0002</td>
                  <td align="center" valign="middle">0.29</td>
                </tr>
                <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                  <td align="left" colspan="8" style="border-top: thin solid; border-color: #000000" valign="middle">
                    <bold>Comorbidities</bold>
                  </td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Hypertension</td>
                  <td align="center" valign="middle">917 (83%)</td>
                  <td align="center" valign="middle">855 (84%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">4.102 (60%)</td>
                  <td align="center" valign="middle">843 (83%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.62</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Dyslipidemia</td>
                  <td align="center" valign="middle">777 (71%)</td>
                  <td align="center" valign="middle">729 (72%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">3.348 (49%)</td>
                  <td align="center" valign="middle">742 (73%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.67</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">IHD</td>
                  <td align="center" valign="middle">702 (64%)</td>
                  <td align="center" valign="middle">661 (65%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.694 (40%)</td>
                  <td align="center" valign="middle">662 (65%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.92</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">AF</td>
                  <td align="center" valign="middle">670 (61%)</td>
                  <td align="center" valign="middle">601 (59%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.645 (39%)</td>
                  <td align="center" valign="middle">611 (60%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.65</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Diabetes mellitus</td>
                  <td align="center" valign="middle">489 (44%)</td>
                  <td align="center" valign="middle">423 (41%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.461 (22%)</td>
                  <td align="center" valign="middle">424 (42%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.75</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">CKD</td>
                  <td align="center" valign="middle">545 (50%)</td>
                  <td align="center" valign="middle">424 (42%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.200 (32%)</td>
                  <td align="center" valign="middle">417 (41%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.63</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Overweight or obesity</td>
                  <td align="center" valign="middle">359 (33%)</td>
                  <td align="center" valign="middle">315 (31%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.073 (16%)</td>
                  <td align="center" valign="middle">295 (29%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.34</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Smoking</td>
                  <td align="center" valign="middle">256 (23%)</td>
                  <td align="center" valign="middle">241 (23%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.052 (16%)</td>
                  <td align="center" valign="middle">247 (24%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.67</td>
                </tr>
                <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                  <td align="left" colspan="8" style="border-top: thin solid; border-color: #000000" valign="middle">
                    <bold>Drugs</bold>
                  </td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Loop diuretics</td>
                  <td align="center" valign="middle">933 (85%)</td>
                  <td align="center" valign="middle">850 (83%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">3.603 (53%)</td>
                  <td align="center" valign="middle">852 (83%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.92</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">MRA</td>
                  <td align="center" valign="middle">567 (52%)</td>
                  <td align="center" valign="middle">494 (48%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.285 (19%)</td>
                  <td align="center" valign="middle">497 (49%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.74</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Beta-blockers</td>
                  <td align="center" valign="middle">828 (75%)</td>
                  <td align="center" valign="middle">760 (75%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">3.432 (51%)</td>
                  <td align="center" valign="middle">770 (76%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.71</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Platelet aggregation inhibitors</td>
                  <td align="center" valign="middle">670 (61%)</td>
                  <td align="center" valign="middle">600 (59%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.781 (41%)</td>
                  <td align="center" valign="middle">601 (59%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.99</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Antilipemic agents</td>
                  <td align="center" valign="middle">797 (73%)</td>
                  <td align="center" valign="middle">731 (72%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">3.253 (48%)</td>
                  <td align="center" valign="middle">751 (74%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.33</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Angiotensin inhibitors</td>
                  <td align="center" valign="middle">489 (44%)</td>
                  <td align="center" valign="middle">441 (43%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.413 (21%)</td>
                  <td align="center" valign="middle">446 (44%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.64</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Tafamidis</td>
                  <td align="center" valign="middle">428 (39%)</td>
                  <td align="center" valign="middle">336 (33%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">558 (8%)</td>
                  <td align="center" valign="middle">330 (32%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.92</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN3">
                <p>AF: atrial fibrillation; ATTR: amyloid transthyretin; CKD: chronic kidney disease; IHD: ischemic heart disease; MRA: mineralocorticoid receptor antagonist; PSM: propensity score matching; SD: standard deviation; SGLT2i: sodium-glucose cotransporter 2 inhibitors.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <table-wrap id="t4">
            <label>Table 2</label>
            <caption>
              <title>Baseline characteristics of patients with AL amyloidosis before and after PSM</title>
            </caption>
            <table frame="hsides" rules="groups">
              <colgroup width="12%">
                <col width="1%"/>
                <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" colspan="2" rowspan="2" valign="middle">Variables</th>
                  <th align="center" colspan="2" style="border-right: thin solid; border-color: #000000" valign="middle">SGLT2i</th>
                  <th align="center" colspan="2" valign="middle">Controls</th>
                  <th align="center" style="border-left: thin solid; border-color: #000000" valign="middle">p-value</th>
                  <th align="center" valign="middle">p-value</th>
                </tr>
                <tr style="background-color:#76B4CF;">
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">Before PSM<break/> (n = 405)</th>
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">After PSM<break/> (n = 346)</th>
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-left: thin solid; border-color: #000000" valign="middle">Before PSM<break/> (n = 2,839)</th>
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">After PSM<break/> (n = 346)</th>
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-left: thin solid; border-color: #000000" valign="middle">Before PSM</th>
                  <th align="center" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">After PSM</th>
                </tr>
              </thead>
              <tbody style="border-bottom: thin solid; border-color: #000000">
                <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                  <td align="left" colspan="8" style="border-top: thin solid; border-color: #000000" valign="middle">
                    <bold>Demographics</bold>
                  </td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Age, years (SD)</td>
                  <td align="center" valign="middle">68.2 (10.1)</td>
                  <td align="center" valign="middle">68.7 (10.6)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">68.2 (10.8)</td>
                  <td align="center" valign="middle">69.0 (11.0)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.00</td>
                  <td align="center" valign="middle">0.67</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Male</td>
                  <td align="center" valign="middle">237 (60%)</td>
                  <td align="center" valign="middle">213 (62%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.011 (58%)</td>
                  <td align="center" valign="middle">226 (65%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&#8212;</td>
                  <td align="center" valign="middle">&#8212;</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Female</td>
                  <td align="center" valign="middle">145 (37%)</td>
                  <td align="center" valign="middle">125 (36%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.368 (39%)</td>
                  <td align="center" valign="middle">112 (32%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0.37</td>
                  <td align="center" valign="middle">0.36</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">White</td>
                  <td align="center" valign="middle">236 (60%)</td>
                  <td align="center" valign="middle">211 (61%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">2.319 (66%)</td>
                  <td align="center" valign="middle">210 (61%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0.37</td>
                  <td align="center" valign="middle">0.26</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Black or African American</td>
                  <td align="center" valign="middle">80 (20%)</td>
                  <td align="center" valign="middle">72 (21%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">531 (15%)</td>
                  <td align="center" valign="middle">68 (19%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&#8212;</td>
                  <td align="center" valign="middle">&#8212;</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Asian</td>
                  <td align="center" valign="middle">14 (4%)</td>
                  <td align="center" valign="middle">16 (5%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">78 (2%)</td>
                  <td align="center" valign="middle">21 (6%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0.007</td>
                  <td align="center" valign="middle">1.00</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Unknown race</td>
                  <td align="center" valign="middle">39 (10%)</td>
                  <td align="center" valign="middle">30 (9%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">409 (12%)</td>
                  <td align="center" valign="middle">28 (8%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0.002</td>
                  <td align="center" valign="middle">0.53</td>
                </tr>
                <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                  <td align="left" colspan="8" style="border-top: thin solid; border-color: #000000" valign="middle">
                    <bold>Comorbidities</bold>
                  </td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Hypertension</td>
                  <td align="center" valign="middle">318 (81%)</td>
                  <td align="center" valign="middle">281 (81%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.910 (55%)</td>
                  <td align="center" valign="middle">282 (81%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.75</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Dyslipidemia</td>
                  <td align="center" valign="middle">267 (68%)</td>
                  <td align="center" valign="middle">243 (70%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.594 (46%)</td>
                  <td align="center" valign="middle">249 (71%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.75</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">IHD</td>
                  <td align="center" valign="middle">234 (59%)</td>
                  <td align="center" valign="middle">198 (57%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.099 (31%)</td>
                  <td align="center" valign="middle">194 (56%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.75</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">AF</td>
                  <td align="center" valign="middle">190 (47%)</td>
                  <td align="center" valign="middle">147 (42%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">645 (27%)</td>
                  <td align="center" valign="middle">159 (46%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.32</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Diabetes mellitus</td>
                  <td align="center" valign="middle">172 (44%)</td>
                  <td align="center" valign="middle">140 (41%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">638 (18%)</td>
                  <td align="center" valign="middle">146 (42%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.65</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">CKD</td>
                  <td align="center" valign="middle">212 (54%)</td>
                  <td align="center" valign="middle">179 (52%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.274 (36%)</td>
                  <td align="center" valign="middle">182 (53%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.75</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Overweight or obesity</td>
                  <td align="center" valign="middle">148 (38%)</td>
                  <td align="center" valign="middle">122 (35%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">589 (17%)</td>
                  <td align="center" valign="middle">118 (34%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.75</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Smoking</td>
                  <td align="center" valign="middle">89 (23%)</td>
                  <td align="center" valign="middle">88 (25%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">538 (15%)</td>
                  <td align="center" valign="middle">88 (25%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">1.00</td>
                </tr>
                <tr style="border-left: thin solid; border-color: #000000; background-color:#76B4CF; border-left: thin solid; border-color: #000000">
                  <td align="left" colspan="8" style="border-top: thin solid; border-color: #000000" valign="middle">
                    <bold>Drugs</bold>
                  </td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Loop diuretics</td>
                  <td align="center" valign="middle">359 (91%)</td>
                  <td align="center" valign="middle">314 (90%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.892 (54%)</td>
                  <td align="center" valign="middle">312 (90%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">0.0001</td>
                  <td align="center" valign="middle">1.00</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">MRA</td>
                  <td align="center" valign="middle">231 (59%)</td>
                  <td align="center" valign="middle">192 (55%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">594 (17%)</td>
                  <td align="center" valign="middle">192 (55%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">1.00</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Beta-blockers</td>
                  <td align="center" valign="middle">271 (69%)</td>
                  <td align="center" valign="middle">235 (69%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.534 (44%)</td>
                  <td align="center" valign="middle">223 (64%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.26</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Platelet aggregation inhibitors</td>
                  <td align="center" valign="middle">239 (59%)</td>
                  <td align="center" valign="middle">192 (55%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">956 (40%)</td>
                  <td align="center" valign="middle">187 (54%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.75</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Antilipemic agents</td>
                  <td align="center" valign="middle">275 (70%)</td>
                  <td align="center" valign="middle">248 (71%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">1.588 (49%)</td>
                  <td align="center" valign="middle">251 (72%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.75</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Angiotensin inhibitors</td>
                  <td align="center" valign="middle">159 (40%)</td>
                  <td align="center" valign="middle">135 (39%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">602 (17%)</td>
                  <td align="center" valign="middle">123 (35%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.0001</td>
                  <td align="center" valign="middle">0.32</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Bortezomib</td>
                  <td align="center" valign="middle">142 (36%)</td>
                  <td align="center" valign="middle">100 (29%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">459 (13%)</td>
                  <td align="center" valign="middle">99 (28%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.001</td>
                  <td align="center" valign="middle">0.92</td>
                </tr>
                <tr style="background-color:#C7DFEC;">
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Cyclophosphamide</td>
                  <td align="center" valign="middle">127 (32%)</td>
                  <td align="center" valign="middle">92 (26%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">415 (12%)</td>
                  <td align="center" valign="middle">91 (26%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.001</td>
                  <td align="center" valign="middle">0.92</td>
                </tr>
                <tr>
                  <td align="left" valign="middle"/>
                  <td align="left" valign="middle">Daratumumab</td>
                  <td align="center" valign="middle">117 (30%)</td>
                  <td align="center" valign="middle">78 (22%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">195 (6%)</td>
                  <td align="center" valign="middle">72 (21%)</td>
                  <td align="center" style="border-left: thin solid; border-color: #000000" valign="middle">&lt; 0.001</td>
                  <td align="center" valign="middle">0.75</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="TFN4">
                <p>AF: atrial fibrillation; AL: amyloid light-chain; CKD: chronic kidney disease; IHD: ischemic heart disease; MRA: mineralocorticoid receptor antagonist; PSM: propensity score matching; SD: standard deviation; SGLT2i: sodium-glucose cotransporter 2 inhibitors.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
          <p>Before PSM, patients with ATTR amyloidosis in the SGLT2i group were older and more frequently male than those in the control group. They also had a higher prevalence of hypertension, IHD, diabetes mellitus, overweight or obesity, dyslipidemia, CKD, smoking history, and atrial fibrillation (AF).</p>
          <p>Among patients with AL amyloidosis, those in the SGLT2i group had a similar age distribution and proportion of male patients compared with controls but included a lower proportion of White patients. Nevertheless, the SGLT2i group showed a higher prevalence of hypertension, IHD, diabetes mellitus, overweight or obesity, dyslipidemia, CKD, smoking history, and AF.</p>
        </sec>
        <sec>
          <title>Endpoints in patients with transthyretin amyloidosis after propensity score matching</title>
          <p>After PSM, 1,018 patients with ATTR amyloidosis were included in each group. During the 12-month follow-up, 96 patients (9.4%) in the SGLT2i group died, compared with 196 patients (19.2%) in the control group (HR, 0.52; 95% CI, 0.41-0.66). Hospitalization occurred in 387 patients (38.0%) in the SGLT2i group and in 505 patients (49.6%) in the control group (HR, 0.74; 95% CI, 0.65-0.84). Kidney outcomes, here defined as AKI or the need for KRT, occurred in 204 patients (20.0%) in the SGLT2i group and in 298 patients (28.5%) in the control group (HR, 0.72; 95% CI, 0.60-0.86). Kaplan-Meier curves for the primary and secondary endpoints over 12 months in patients with ATTR amyloidosis are shown in <xref ref-type="fig" rid="f6">Figure 2</xref>.</p>
          <fig id="f6">
            <label>Figure 2</label>
            <caption>
              <title>12-month Kaplan-Meier survival curves in patients with ATTR amyloidosis after propensity score matching. ATTR: amyloid transthyretin; AKI: acute kidney injury; HR: hazard ratio; KRT: kidney replacement therapy; SGLT2i: sodium-glucose cotransporter 2 inhibitors.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-123-01-e20250439-50439-gf03-en.tif"/></fig>
        </sec>
        <sec>
          <title>Endpoints in patients with light-chain amyloidosis after propensity score matching</title>
          <p>After PSM, 346 patients with AL amyloidosis were included in each group. During follow-up, 39 deaths (11.3%) occurred in the SGLT2i group and 80 deaths (23.1%) in the control group (HR, 0.51; 95% CI, 0.34-0.74). Hospitalization was observed in 161 patients (46.5%) in the SGLT2i group and in 204 patients (58.9%) in the control group (HR, 0.71; 95% CI, 0.58-0.88). Kidney outcomes occurred in 86 patients (24.8%) in the SGLT2i group and in 137 patients (39.5%) in the control group (HR, 0.60; 95% CI, 0.46-0.78). Kaplan-Meier curves for the primary and secondary endpoints in patients with AL amyloidosis over the 12-month follow-up are presented in <xref ref-type="fig" rid="f7">Figure 3</xref>.</p>
          <fig id="f7">
            <label>Figure 3</label>
            <caption>
              <title>12-month Kaplan-Meier survival curves in patients with AL amyloidosis after propensity score matching. AKI: acute kidney injury; AL: amyloid light chain; HR: hazard ratio; KRT: kidney replacement therapy; SGLT2i: sodium-glucose cotransporter 2 inhibitors.</title>
            </caption>
            <graphic xlink:href="1678-4170-abc-123-01-e20250439-50439-gf04-en.tif"/></fig>
        </sec>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <p>In this retrospective cohort study, SGLT2i were associated with a lower risk of 12-month all-cause mortality, hospitalization, and kidney outcomes in patients with amyloidosis of different etiologies and HF.</p>
        <p>The protective effects of SGLT2i in patients with amyloidosis and HF may be related to their myocardial actions, including reductions in oxidative stress and inflammation, improvements in heart ionic homeostasis, and enhanced myocardial energetics.<sup><xref ref-type="bibr" rid="B11">11</xref></sup> In addition, noncardiac mechanisms may contribute to the observed benefits on kidney outcomes, particularly in the context of amyloid kidney involvement. These mechanisms include reductions in intraglomerular pressure, kidney metabolic changes, and decreased oxidative stress resulting from lower tubulointerstitial glucose levels, all of which may play a role in mitigating the adverse outcomes observed in this study.<sup><xref ref-type="bibr" rid="B12">12</xref></sup></p>
        <p>Several studies have evaluated the effects of SGLT2i in patients with amyloidosis, particularly those with ATTR amyloid cardiomyopathy (ATTR-CM). In a preclinical study using humanized RBP4/TTRVal50Met and RBP4/TTR mouse models, dapagliflozin treatment for 4 weeks was not associated with improvements in biomarker measurements, including plasma B-type natriuretic peptide (BNP) levels, heart inflammation, or pathological changes.<sup><xref ref-type="bibr" rid="B13">13</xref></sup> In contrast, a small retrospective study of patients with ATTR amyloidosis and HF receiving tafamidis reported that initiation of dapagliflozin was well tolerated, associated with few adverse events, and led to reductions in N-terminal pro-BNP (NT-proBNP) levels in 13 of 17 patients.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> Another observational study involving 15 patients with ATTR amyloidosis and diabetes mellitus reported good tolerability and safety, although hard clinical endpoints were not assessed.<sup><xref ref-type="bibr" rid="B15">15</xref></sup></p>
        <p>More recently, observational studies and meta-analyses have further explored the effects of SGLT2i in patients with ATTR-CM. In a multicenter cohort study evaluating SGLT2i therapy versus standard care, 220 patients were included in each group after propensity score matching for clinical and laboratory variables, such as age and NT-proBNP levels. During a 28-month follow-up, patients treated with SGLT2i exhibited lower all-cause mortality, cardiovascular mortality, and HF hospitalization.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> Despite differences in population characteristics, covariates, and endpoints, these findings are consistent with the results of the present study. Using the same TriNetX platform, Jaiswal et al.<sup><xref ref-type="bibr" rid="B17">17</xref></sup> evaluated outcomes at 1 month, 1 year, and 3 years in patients with ATTR-CM treated with SGLT2i compared with controls. The use of SGLT2i was associated with significant reductions in all-cause mortality, major adverse cardiovascular events, and ischemic stroke. While both studies demonstrated reductions in all-cause mortality, the present analysis extends these findings by including patients with AL cardiomyopathy, restricting the population to individuals with overt HF, and evaluating additional endpoints, including hospitalization and kidney outcomes.<sup><xref ref-type="bibr" rid="B17">17</xref></sup></p>
        <p>Meta-analyses have also supported these observations. In a meta-analysis of five observational studies involving 5,101 patients with ATTR-CM (2,528 treated with SGLT2i and 2,573 controls), using SGLT2i was associated with lower rates of all-cause and cardiovascular mortality, hospitalization, and decreased NT-proBNP levels.<sup><xref ref-type="bibr" rid="B18">18</xref></sup> Another meta-analysis including five observational studies and 9,766 patients with ATTR-CM reported that SGLT2i were associated with a lower risk of all-cause and cardiovascular death, HF hospitalization, and arrhythmias.<sup><xref ref-type="bibr" rid="B19">19</xref></sup> Notably, all recent publications emphasize the need for randomized clinical trials to confirm these findings in patients with amyloidosis.</p>
        <p>Large, randomized trials of SGLT2i, including the EMPEROR-Preserved (Empagliflozin in Heart Failure with a Preserved Ejection Fraction) trial<sup><xref ref-type="bibr" rid="B9">9</xref></sup> and the DELIVER (Dapagliflozin in Heart Failure with Mildly Reduced or Preserved Ejection Fraction) trial,<sup><xref ref-type="bibr" rid="B10">10</xref></sup> demonstrated reductions in the composite outcome of cardiovascular death and HF hospitalization in patients with preserved LVEF, with reductions in hospitalization largely driving these effects. However, patients with infiltrative cardiomyopathies, including cardiac amyloidosis, were excluded from these trials, limiting the applicability of their results to this population. In this context, the present findings suggest that patients with amyloidosis and HF may derive similar benefits in terms of mortality, hospitalization, and kidney outcomes.</p>
        <p>The kidney-protective effects of SGLT2i in patients with CKD, with or without type 2 diabetes, are well established and have been demonstrated in trials such as EMPA-REG OUTCOME (Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes) and DECLARE&#8211;TIMI 58 (Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes).<sup><xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref></sup> These effects are attributed to mechanisms including reductions in glomerular hyperfiltration and injury, decreased kidney energy consumption, and attenuation of inflammatory, fibrotic, and proapoptotic pathways.<sup><xref ref-type="bibr" rid="B22">22</xref></sup> Kidney involvement in amyloidosis results from amyloid fibril deposition in glomeruli, vessels, and interstitium, leading to significant proteinuria and progression to kidney failure.<sup><xref ref-type="bibr" rid="B23">23</xref></sup> Attenuation of these pathological processes may explain the improved kidney outcomes observed in patients with amyloidosis treated with SGLT2i in the present study.</p>
        <p>This study has strengths and limitations inherent to its retrospective design and reliance on data from the TriNetX platform. Strengths include the large, multinational cohort of patients with ATTR-CM and AL cardiomyopathy and HF and adjustment for key demographic variables, comorbidities, and disease-modifying therapies, such as tafamidis, daratumumab, and bortezomib. Limitations include reliance on electronic medical record data and ICD-10 coding, without formal adjudication of diagnoses or outcomes. The high prevalence of concomitant cardiovascular conditions, such as hypertension and IHD, complicates the assessment of their individual contributions to HF in the setting of amyloidosis. Nevertheless, patients with amyloidosis are typically older and have a high burden of comorbidities, underscoring the importance of evaluating amyloidosis therapies within this clinical context. Additional limitations include incomplete information regarding treatment discontinuation during follow-up and the lack of data on LVEF in a substantial proportion of patients, precluding stratification by LVEF phenotype. As a retrospective analysis, these findings should be considered hypothesis-generating rather than definitive. However, because of the consistency of the observed associations, the results reinforce the need for prospective randomized controlled trials evaluating SGLT2i in patients with cardiac amyloidosis.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusion</title>
        <p>In this retrospective cohort study of patients with HF due to ATTR and AL amyloidosis, SGLT2i were associated with lower all-cause mortality, hospitalization, and kidney outcomes. Further evidence from randomized controlled trials is needed to confirm the efficacy of SGLT2i in patients with amyloidosis.</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 study is not associated with any thesis or dissertation work.</p>
        </fn>
        <fn fn-type="other" id="fn7">
          <label>Ethics approval and consent to participate</label>
          <p>This article does not contain any studies with human participants or animals performed by any of the authors.</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">
        <title>Data Availability Statement</title>
        <p>All datasets supporting the results of this study are available upon request from the corresponding author.</p>
      </sec>
    </back>
  </sub-article>
</article>
