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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Arq Bras Cardiol</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</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v3">LTtBScxFbnKp3q3dxLzdGcM</article-id>
      <article-id pub-id-type="publisher-id" specific-use="scielo-v2">S0066-782X2014000500008</article-id>
      <article-id pub-id-type="publisher-id" specific-use="previous-pid">S0066-782X2014005040048</article-id>
      <article-id pub-id-type="other">00008</article-id>
      <article-id pub-id-type="doi">10.5935/abc.20140048</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Artigos Originais</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title xml:lang="pt">Preval&#234;ncia de Fatores de Risco Cardiovascular em Pacientes
               em Hemodi&#225;lise - O Estudo CORDIAL</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Burmeister</surname>
            <given-names>Jayme Eduardo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="corresp" rid="c01"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mosmann</surname>
            <given-names>Camila Borges</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Costa</surname>
            <given-names>Veridiana Borges</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Saraiva</surname>
            <given-names>Ramiro Tubino</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Grandi</surname>
            <given-names>Renata Rech</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bastos</surname>
            <given-names>Juliano Peixoto</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Gon&#231;alves</surname>
            <given-names>Luiz Felipe</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Rosito</surname>
            <given-names>Guido Aranha</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution content-type="orgname">Universidade Federal de Ci&#234;ncias da Sa&#250;de de Porto
               Alegre</institution>
        <institution content-type="orgdiv1">Programa de P&#243;s-gradua&#231;&#227;o em Ci&#234;ncias da
               Sa&#250;de</institution>
        <addr-line>
          <named-content content-type="city">Porto Alegre</named-content>
          <named-content content-type="state">RS</named-content>
        </addr-line>
        <country>Brasil</country>
        <institution content-type="original">Universidade Federal de Ci&#234;ncias da Sa&#250;de de Porto
               Alegre - Programa de P&#243;s-gradua&#231;&#227;o em Ci&#234;ncias da Sa&#250;de, Porto Alegre, RS -
               Brasil</institution>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution content-type="orgname">Universidade Luterana do Brasil</institution>
        <institution content-type="orgdiv1">Curso de Medicina</institution>
        <addr-line>
          <named-content content-type="city">Porto Alegre</named-content>
          <named-content content-type="state">RS</named-content>
        </addr-line>
        <country>Brasil</country>
        <institution content-type="original">Universidade Luterana do Brasil - Curso de
               Medicina, Porto Alegre, RS - Brasil</institution>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution content-type="orgname">Universidade Federal do Rio Grande do
               Sul</institution>
        <institution content-type="orgdiv1">Faculdade de Medicina</institution>
        <addr-line>
          <named-content content-type="city">Porto Alegre</named-content>
          <named-content content-type="state">RS</named-content>
        </addr-line>
        <country>Brasil</country>
        <institution content-type="original">Universidade Federal do Rio Grande do Sul -
               Faculdade de Medicina, Porto Alegre, RS - Brasil</institution>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution content-type="orgname">Hospital M&#227;e de Deus</institution>
        <institution content-type="orgdiv1">Departamento de Nefrologia</institution>
        <addr-line>
          <named-content content-type="city">Porto Alegre</named-content>
          <named-content content-type="state">RS</named-content>
        </addr-line>
        <country>Brasil</country>
        <institution content-type="original">Hospital M&#227;e de Deus - Departamento de Nefrologia,
               Porto Alegre, RS - Brasil</institution>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution content-type="orgname">Universidade Federal de Ci&#234;ncias da Sa&#250;de de Porto
               Alegre</institution>
        <institution content-type="orgdiv1">Faculdade de Medicina</institution>
        <addr-line>
          <named-content content-type="city">Porto Alegre</named-content>
          <named-content content-type="state">RS</named-content>
        </addr-line>
        <country>Brasil</country>
        <institution content-type="original">Universidade Federal de Ci&#234;ncias da Sa&#250;de de Porto
               Alegre - Faculdade de Medicina, Porto Alegre, RS - Brasil</institution>
      </aff>
      <author-notes>
        <corresp id="c01"><bold>Correspond&#234;ncia: Jayme Eduardo Burmeister,</bold> Rua Cel. Lucas de Oliveira,
               1270, Apto 301, Bela Vista. CEP 90440-010, Porto Alegre, RS - Brasil. E-mail:
                  <email>jb.nefro@gmail.com</email>
				</corresp>
        <fn fn-type="conflict">
          <p>
            <bold>Potencial Conflito de Interesses</bold>
          </p>
          <p>Declaro n&#227;o haver conflito de interesses pertinentes.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>17</day>
        <month>04</month>
        <year>2014</year>
      </pub-date>
      <pub-date pub-type="collection">
        <day>10</day>
        <month>06</month>
        <year>2014</year>
      </pub-date>
      <volume>102</volume>
      <issue>05</issue>
      <fpage>473</fpage>
      <lpage>480</lpage>
      <history>
        <date date-type="received">
          <day>25</day>
          <month>07</month>
          <year>2013</year>
        </date>
        <date date-type="rev-recd">
          <day>11</day>
          <month>11</month>
          <year>2013</year>
        </date>
        <date date-type="accepted">
          <day>29</day>
          <month>11</month>
          <year>2013</year>
        </date>
      </history>
      <abstract xml:lang="pt">
        <sec>
          <title>Fundamentos:</title>
          <p>H&#225; uma car&#234;ncia de dados epidemiol&#243;gicos sobre o perfil de risco cardiovascular
                  nos pacientes renais cr&#244;nicos em hemodi&#225;lise no Brasil.</p>
        </sec>
        <sec>
          <title>Objetivo:</title>
          <p>O estudo CORDIAL foi planejado para avaliar fatores de risco cardiovascular e
                  acompanhar a evolu&#231;&#227;o de uma popula&#231;&#227;o em programa de hemodi&#225;lise numa cidade
                  metropolitana do Brasil.</p>
        </sec>
        <sec>
          <title>M&#233;todos:</title>
          <p>Todos os pacientes em hemodi&#225;lise por doen&#231;a renal cr&#244;nica nos quinze centros de
                  nefrologia de Porto Alegre foram considerados para inclus&#227;o na fase inicial do
                  estudo CORDIAL. Dados cl&#237;nicos, laboratoriais e demogr&#225;ficos foram obtidos nos
                  registros m&#233;dicos, e em entrevistas individuais estruturadas realizadas com todos
                  os pacientes por pesquisadores treinados.</p>
        </sec>
        <sec>
          <title>Resultados:</title>
          <p>Foram inclu&#237;dos 1215 pacientes (97,3% de todos os que estavam em hemodi&#225;lise na
                  cidade de Porto Alegre). A m&#233;dia de idade era 58,3 anos, 59,5% eram homens e 62,8%
                  eram brancos. A preval&#234;ncia de fatores de risco cardiovascular encontrada foi
                  87,5% para hipertens&#227;o, 84,7% para dislipidemia, 73,1% para sedentarismo, 53,7%
                  para tabagismo e 35,8% para diabetes. Em uma an&#225;lise multivariada ajustada,
                  sedentarismo (p = 0,032; RP 1,08 - IC95%: 1,01-1,15), dislipidemia (p = 0,019; RP
                  1,08 - IC95%: 1,01-1,14), e obesidade (p &lt; 0,001; RP 1,96 - IC95%: 1,45-2,63)
                  foram mais frequentes em mulheres; e hipertens&#227;o (p = 0,018; PR 1,06 - IC95%:
                  1,01-1,11) e tabagismo (p = 0,006; RP 2,7 - IC95%: 1,79-4,17) foram mais
                  frequentes naqueles com menos de 65 anos. Sedentarismo apresentou uma associa&#231;&#227;o
                  independente com tempo em di&#225;lise inferior a 12 meses (p &lt; 0,001; RP 1,23 -
                  IC95%: 1,14-1,33).</p>
        </sec>
        <sec>
          <title>Conclus&#227;o:</title>
          <p>Pacientes em hemodi&#225;lise nesta metr&#243;pole do sul do Brasil apresentaram uma
                  preval&#234;ncia elevada de fatores de risco cardiovascular similar a diversos pa&#237;ses
                  do hemisf&#233;rio norte.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="pt">
        <kwd>Pacientes</kwd>
        <kwd>Di&#225;lise renal</kwd>
        <kwd>Fatores de risco</kwd>
        <kwd>Preval&#234;ncia</kwd>
      </kwd-group>
      <counts>
        <fig-count count="0"/>
        <table-count count="3"/>
        <equation-count count="0"/>
        <ref-count count="40"/>
        <page-count count="1"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introdu&#231;&#227;o</title>
      <p>As doen&#231;as cardiovasculares (DCV) s&#227;o a principal causa de &#243;bito em pacientes com doen&#231;a
            renal cr&#244;nica (DRC) em hemodi&#225;lise<xref ref-type="bibr" rid="B01">1</xref>
				<sup>-</sup>
				<xref ref-type="bibr" rid="B03">3</xref>. Nestes indiv&#237;duos, a
            mortalidade cardiovascular &#233; 10 a 20 vezes maior quando comparada &#224; da popula&#231;&#227;o geral
            de mesmo sexo, idade e ra&#231;a<xref ref-type="bibr" rid="B02">2</xref>
				<sup>-</sup>
				<xref ref-type="bibr" rid="B05">5</xref>, sendo at&#233; 44 vezes superior na presen&#231;a de
               diabetes<xref ref-type="bibr" rid="B06">6</xref>. A DCV est&#225; presente desde as fases
            precoces da DRC e atinge em torno de 30 a 44% dos pacientes iniciando hemodi&#225;lise<xref ref-type="bibr" rid="B07">7</xref>
				<sup>-</sup>
				<xref ref-type="bibr" rid="B10">10</xref>. Salienta-se que a DCV oculta est&#225; presente em at&#233; 50% dos pacientes
            assintom&#225;ticos em di&#225;lise<xref ref-type="bibr" rid="B07">7</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B11">11</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B12">12</xref>.</p>
      <p>Esta taxa elevada de DCV pode ser atribu&#237;da &#224; alta preval&#234;ncia de fatores de risco
               cardiovascular<xref ref-type="bibr" rid="B13">13</xref>. Embora os fatores
            tradicionais de risco cardiovascular n&#227;o possam isoladamente explicar este alto risco de
               DCV<xref ref-type="bibr" rid="B04">4</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B14">14</xref>, eles parecem ser altamente preditivos de eventos
               cardiovasculares<xref ref-type="bibr" rid="B12">12</xref>, especialmente entre os
            pacientes mais idosos<xref ref-type="bibr" rid="B15">15</xref>. Da mesma forma, este
            perfil cardiovascular permite a estratifica&#231;&#227;o desse risco na DRC<xref ref-type="bibr" rid="B16">16</xref>.</p>
      <p>A maioria dos pacientes que iniciam di&#225;lise apresenta uma aglomera&#231;&#227;o de fatores de
            risco n&#227;o controlados para DCV<xref ref-type="bibr" rid="B14">14</xref>, contribuindo
            para um aumento da chance de eventos delet&#233;rios<xref ref-type="bibr" rid="B17">17</xref>.</p>
      <p>Esta alta preval&#234;ncia de fatores tradicionais de risco para DCV nos pacientes em
            hemodi&#225;lise cr&#244;nica tem sido relatada em diversos estudos realizados em diferentes
               pa&#237;ses<xref ref-type="bibr" rid="B08">8</xref>
				<sup>-</sup>
				<xref ref-type="bibr" rid="B10">10</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B12">12</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B14">14</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B18">18</xref>
				<sup>-</sup>
				<xref ref-type="bibr" rid="B20">20</xref>. No entanto, h&#225; uma car&#234;ncia de dados epidemiol&#243;gicos consistentes em
            nosso pa&#237;s para esta popula&#231;&#227;o, tanto por vieses metodol&#243;gicos quanto pela utiliza&#231;&#227;o de
            amostras pequenas e restritas a um &#250;nico hospital ou cl&#237;nica.</p>
      <p>O objetivo principal deste estudo foi avaliar a preval&#234;ncia de fatores tradicionais de
            risco para DCV na popula&#231;&#227;o de pacientes com DRC em programa de hemodi&#225;lise em uma
            cidade metropolitana do sul do Brasil.</p>
    </sec>
    <sec sec-type="methods">
      <title>M&#233;todos</title>
      <sec>
        <title>Desenho do Estudo e Popula&#231;&#227;o da Pesquisa</title>
        <p>O estudo CORDIAL (<italic>Cardiovascular Outcomes Registry in Dialysis
                  Patients)</italic> foi planejado para coletar dados sobre o perfil de risco
               cardiovascular e realizar o seguimento de todos os pacientes com DRC inclu&#237;dos em
               programa de hemodi&#225;lise na cidade de Porto Alegre, Brasil. O presente artigo descreve
               os dados da fase inicial com uma an&#225;lise transversal desta popula&#231;&#227;o.</p>
        <p>Os crit&#233;rios de inclus&#227;o foram idade de 18 anos ou mais, estar em programa de
               hemodi&#225;lise ambulatorial cr&#244;nica por mais de 30 dias, e apresentar condi&#231;&#245;es de
               fornecer consentimento informado sobre a participa&#231;&#227;o. O protocolo do estudo estava
               conforme com a Declara&#231;&#227;o de Helsinki e foi aprovado pelo Comit&#234; de &#201;tica em Pesquisa
               da Universidade Federal de Ci&#234;ncias da Sa&#250;de de Porto Alegre (UFCSPA) e pelos comit&#234;s
               dos respectivos centros cl&#237;nicos inclu&#237;dos.</p>
        <p>Entre agosto de 2010 e mar&#231;o de 2011, todos os pacientes com DRC em hemodi&#225;lise em
               cada um dos quinze centros de di&#225;lise da cidade de Porto Alegre (<xref ref-type="app" rid="ap01">Ap&#234;ndice 1</xref>) foram considerados para inclus&#227;o e 1215 (97,3% do
               total) corresponderam aos crit&#233;rios de inclus&#227;o e concordaram em aderir ao termo de
               consentimento informado.</p>
      </sec>
      <sec>
        <title>Coleta de dados do CORDIAL</title>
        <p>Para a coleta dos dados iniciais do CORDIAL, utilizamos um formul&#225;rio padronizado
               adaptado e estendido &#224;s nossas necessidades a partir do estudo <italic>REACH
                  Registry</italic>, um estudo desenvolvido em diversos pa&#237;ses incluindo o
                  Brasil<xref ref-type="bibr" rid="B21">21</xref>. O formul&#225;rio foi preenchido ap&#243;s
               visitas a cada centro de di&#225;lise, onde os pacientes, o corpo cl&#237;nico e os registros
               cl&#237;nicos eletr&#244;nicos foram acessados.</p>
        <p>Peso, altura e a press&#227;o arterial medida antes e ap&#243;s a sess&#227;o de di&#225;lise (m&#233;dia das
               &#250;ltimas 3 sess&#245;es) foram obtidos atrav&#233;s da revis&#227;o dos prontu&#225;rios das salas de
               di&#225;lise. A preval&#234;ncia de doen&#231;a cardiovascular ateroscler&#243;tica, de diabetes e de
               hipertens&#227;o arterial foi definida pela revis&#227;o de todos os dados de hist&#243;ria e exame
               f&#237;sico dos registros m&#233;dicos das cl&#237;nicas de di&#225;lise e demais documentos dispon&#237;veis.
               Al&#233;m disto, foram considerados como hipertensos todos os pacientes em uso de drogas
               antihipertensivas, ou ainda aqueles com press&#227;o arterial m&#233;dia pr&#233;-di&#225;lise no est&#225;gio
               1 ou superior da classifica&#231;&#227;o do <italic>Seventh Report of the National Committe on
                  Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC
                  7)</italic>
					<xref ref-type="bibr" rid="B22">22</xref>.</p>
        <p>A defini&#231;&#227;o de diabetes incluiu tanto tipo 1 como tipo 2, com ou sem uso de medica&#231;&#227;o
               hipoglicemiante ou insulina. Tabagismo foi registrado tanto como passado ou presente.
               Em conson&#226;ncia com os crit&#233;rios do <italic>Kidney Disease Outcomes Quality
                  Initiative</italic> da <italic>National Kidney Foundation-USA</italic>
                  (K/DOQI-NKF)<xref ref-type="bibr" rid="B23">23</xref>, dislipidemia foi definida
               como sendo a presen&#231;a de qualquer um dos seguintes achados - colesterol total &gt;
               200 mg/dL, LDL-colesterol &gt; 100 mg/dL, HDL-colesterol &lt; 40 mg/dL,
               triglicer&#237;deos &gt; 150 mg/dL, ou o uso de estatina. Atividade f&#237;sica foi definida
               por questionamento sobre "qualquer atividade f&#237;sica moderada (caminhada leve, andar
               de bicicleta, jardinagem) pelo menos duas vezes por semana" e "quantos minutos por
               semana".</p>
        <p>Dados laboratoriais foram obtidos a partir dos prontu&#225;rios m&#233;dicos considerando os
               resultados mais recentes dentro dos 6 meses precedentes.</p>
        <p>Obtivemos dados sobre g&#234;nero de todos os participantes do CORDIAL, sobre idade de
               1213 (99,8%), e sobre ra&#231;a, altura e peso de 1206 (99,3%). Informa&#231;&#245;es sobre
               hipertens&#227;o, doen&#231;a cardiovascular, atividade f&#237;sica, tabagismo e perfil lip&#237;dico
               foram encontradas respectivamente para 1210 (99.6%), 1170 (96.3%), 1150 (94.7%), 1147
               (94.4%), e 1121 (92.3%) dos pacientes do estudo.</p>
      </sec>
      <sec>
        <title>Estat&#237;stica</title>
        <p>As an&#225;lises estat&#237;sticas foram realizadas com o programa STATA 9.0. Estat&#237;stica
               descritiva foi utilizada para caracterizar a amostra. Raz&#227;o de preval&#234;ncia n&#227;o
               ajustada e ajustada foi calculada separadamente para cada vari&#225;vel dependente
               (hipertens&#227;o, diabetes, dislipidemia, tabagismo, sedentarismo e obesidade) com as
               vari&#225;veis independentes (g&#234;nero, idade, ra&#231;a, tempo em di&#225;lise e diagn&#243;stico de
               doen&#231;a cardiovascular). Todos os testes foram bi-caudais e o n&#237;vel de signific&#226;ncia
               considerado foi 0,05.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Resultados</title>
      <p>O presente estudo incluiu 1215 indiv&#237;duos (97,3% da popula&#231;&#227;o em programas de
            hemodi&#225;lise na cidade de Porto Alegre) com uma m&#233;dia de idade de 58,3 anos, sendo 59,5%
            masculinos e 62,8% brancos.</p>
      <p>A <xref ref-type="table" rid="t01">Tabela 1</xref> apresenta os dados demogr&#225;ficos e
            cl&#237;nicos de todos os pacientes do estudo CORDIAL estratificados por g&#234;nero.</p>
      <table-wrap id="t01">
        <label>Tabela 1</label>
        <caption>
          <title>Dados demogr&#225;ficos e cl&#237;nicos dos pacientes do estudo CORDIAL</title>
        </caption>
        <table frame="hsides" rules="rows">
          <thead>
            <tr>
              <th>&#160;</th>
              <th>
                <bold>Todos</bold>
              </th>
              <th>
                <bold>Masculinos</bold>
              </th>
              <th>
                <bold>Femininos</bold>
              </th>
            </tr>
            <tr>
              <th>&#160;</th>
              <th>
                <bold>(n = 1215)</bold>
              </th>
              <th>
                <bold>(n = 723)</bold>
              </th>
              <th>
                <bold>(n = 492)</bold>
              </th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td colspan="4">
                <bold>Dados demogr&#225;ficos</bold>
              </td>
            </tr>
            <tr>
              <td>Idade (anos) - m&#233;dia(DP)</td>
              <td align="center">58,3 (15,0)</td>
              <td align="center">59,1 (14,6)</td>
              <td align="center">57,1 (15,4)</td>
            </tr>
            <tr>
              <td colspan="4">
                <bold>Ra&#231;a - %</bold>
              </td>
            </tr>
            <tr>
              <td>Brancos</td>
              <td align="center">62,8</td>
              <td align="center">66,2</td>
              <td align="center">57,8</td>
            </tr>
            <tr>
              <td>Negros</td>
              <td align="center">25,9</td>
              <td align="center">23,1</td>
              <td align="center">30,1</td>
            </tr>
            <tr>
              <td>Outros</td>
              <td align="center">11,3</td>
              <td align="center">10,7</td>
              <td align="center">12,1</td>
            </tr>
            <tr>
              <td>Tempo em di&#225;lise (meses) - m&#233;dia (intervalo interquartis)</td>
              <td align="center">34 (12-71)</td>
              <td align="center">35 (12-67)</td>
              <td align="center">34 (12-72)</td>
            </tr>
            <tr>
              <td>Idade de in&#237;cio em di&#225;lise (anos) - m&#233;dia (DP)</td>
              <td align="center">54,1 (15,9)</td>
              <td align="center">54,9 (15,6)</td>
              <td align="center">53,0 (16,2)</td>
            </tr>
            <tr>
              <td colspan="4">
                <bold>Dados cl&#237;nicos</bold>
              </td>
            </tr>
            <tr>
              <td colspan="4">
                <bold>Diabetes</bold>
              </td>
            </tr>
            <tr>
              <td>DM 1 - n (%)</td>
              <td align="center">27</td>
              <td align="center">15 (55,6)</td>
              <td align="center">12 (44,4)</td>
            </tr>
            <tr>
              <td>DM 2 - n (%)</td>
              <td align="center">407</td>
              <td align="center">239 (58,7)</td>
              <td align="center">168 (41,3)</td>
            </tr>
            <tr>
              <td>
                <bold>&#237;ndice de massa corporal (kg/m<sup>2</sup>) - m&#233;dia (DP)</bold>
              </td>
              <td align="center">
                <bold>24,7 (4,7)</bold>
              </td>
              <td align="center">
                <bold>24,3 (4,2)</bold>
              </td>
              <td align="center">
                <bold>25,2 (5,4)</bold>
              </td>
            </tr>
            <tr>
              <td>&lt; 18.5 (kg/m<sup>2</sup>) - %</td>
              <td align="center">6,1</td>
              <td align="center">5,0</td>
              <td align="center">7,8</td>
            </tr>
            <tr>
              <td>18.5 to 24.9 (kg/m<sup>2</sup>) - %</td>
              <td align="center">52,1</td>
              <td align="center">56,2</td>
              <td align="center">46,2</td>
            </tr>
            <tr>
              <td>25 to 29.9 (kg/m<sup>2</sup>) - %</td>
              <td align="center">29,4</td>
              <td align="center">30,0</td>
              <td align="center">28,3</td>
            </tr>
            <tr>
              <td>&#8805; 30 (kg/m<sup>2</sup>) - %</td>
              <td align="center">12,4</td>
              <td align="center">8,8</td>
              <td align="center">17,7</td>
            </tr>
            <tr>
              <td colspan="4">
                <bold>Press&#227;o arterial pr&#233;-di&#225;lise (PA)</bold>
              </td>
            </tr>
            <tr>
              <td>Sist&#243;lica (mmHg) - media (DP)</td>
              <td align="center">146,9 (23,4)</td>
              <td align="center">147,3 (23,3)</td>
              <td align="center">146,4 (23,5)</td>
            </tr>
            <tr>
              <td>Diast&#243;lica (mmHg) - m&#233;dia (DP)</td>
              <td align="center">82,5 (14,0)</td>
              <td align="center">82,8 (13,9)</td>
              <td align="center">81,9 (14,1)</td>
            </tr>
            <tr>
              <td>Sist&#243;lica &#8805; 140 mmHg - %</td>
              <td align="center">70,2</td>
              <td align="center">71,6</td>
              <td align="center">68,6</td>
            </tr>
            <tr>
              <td>Diast&#243;lica &#8805; 90 mmHg - %</td>
              <td align="center">34,7</td>
              <td align="center">36,0</td>
              <td align="center">32,9</td>
            </tr>
            <tr>
              <td>Sist&#243;lica &#8805; 140 mmHg e/ou diast&#243;lica &#8805; 90 mmHg - %</td>
              <td align="center">72,2</td>
              <td align="center">74,7</td>
              <td align="center">70,0</td>
            </tr>
            <tr>
              <td colspan="4">
                <bold>Perfil lip&#237;dico</bold>
              </td>
            </tr>
            <tr>
              <td>Colesterol total (mg/dL) - m&#233;dia (DP)</td>
              <td align="center">168,2 (48,3)</td>
              <td align="center">159,0 (44,1)</td>
              <td align="center">183,1 (50,6)</td>
            </tr>
            <tr>
              <td>HDL-colesterol (mg/dL) - m&#233;dia (DP)</td>
              <td align="center">40,1 (14,8)</td>
              <td align="center">37,6 (12,6)</td>
              <td align="center">43,7 (16,8)</td>
            </tr>
            <tr>
              <td>LDL-colesterol (mg/dL - m&#233;dia (DP)</td>
              <td align="center">94,3 (38,1)</td>
              <td align="center">88,6 (35,4)</td>
              <td align="center">102,4 (40,4)</td>
            </tr>
            <tr>
              <td>Triglicer&#237;deos (mg/dL) - m&#233;dia (DP)</td>
              <td align="center">171,7 (133,0)</td>
              <td align="center">167,8 (145,3)</td>
              <td align="center">177,5 (112,6)</td>
            </tr>
            <tr>
              <td>Colesterol total &gt; 200 mg/dL - %</td>
              <td align="center">22,5</td>
              <td align="center">16,3</td>
              <td align="center">31,5</td>
            </tr>
            <tr>
              <td>HDL-colesterol &lt; 40 mg/dL - %</td>
              <td align="center">60,3</td>
              <td align="center">64,5</td>
              <td align="center">49,5</td>
            </tr>
            <tr>
              <td>LDL-colesterol &gt; 100 mg/dL - %</td>
              <td align="center">39,4</td>
              <td align="center">32,2</td>
              <td align="center">49,5</td>
            </tr>
            <tr>
              <td>Triglicer&#237;deos &gt; 150 mg/dL - %</td>
              <td align="center">45,2</td>
              <td align="center">41,6</td>
              <td align="center">50,6</td>
            </tr>
            <tr>
              <td colspan="4">
                <bold>Tabagismo</bold>
              </td>
            </tr>
            <tr>
              <td>Ex-fumantes - %</td>
              <td align="center">40,5</td>
              <td align="center">46,8</td>
              <td align="center">31,2</td>
            </tr>
            <tr>
              <td>Fumantes ativos - %</td>
              <td align="center">13,2</td>
              <td align="center">15,2</td>
              <td align="center">10,2</td>
            </tr>
            <tr>
              <td>Anos de tabagismo para fumantes ativos - m&#233;dia (DP)</td>
              <td align="center">30,8 (15,0)</td>
              <td align="center">31,2 (14,9)</td>
              <td align="center">30,0 (15,3)</td>
            </tr>
            <tr>
              <td>Numero de cig/dia para fumantes ativos - m&#233;dia (DP)</td>
              <td align="center">12,5 (10,8)</td>
              <td align="center">12,7 (11,2)</td>
              <td align="center">12,0 (10,0)</td>
            </tr>
            <tr>
              <td colspan="4">
                <bold>Atividade f&#237;sica</bold>
              </td>
            </tr>
            <tr>
              <td>Nenhuma - %</td>
              <td align="center">73,1</td>
              <td align="center">71,1</td>
              <td align="center">76,2</td>
            </tr>
            <tr>
              <td>At&#233; 60 minutos/semana - %</td>
              <td align="center">9,6</td>
              <td align="center">10,6</td>
              <td align="center">8,0</td>
            </tr>
            <tr>
              <td>De 60 a 90 minutos/semana - %</td>
              <td align="center">5,6</td>
              <td align="center">5,5</td>
              <td align="center">5,8</td>
            </tr>
            <tr>
              <td>De 90 a 120 minutos/semana - %</td>
              <td align="center">4,9</td>
              <td align="center">5,2</td>
              <td align="center">4,3</td>
            </tr>
            <tr>
              <td>Acima de 120 minutos/semana - %</td>
              <td align="center">6,8</td>
              <td align="center">7,6</td>
              <td align="center">5,6</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>DP: desvio-padr&#227;o; DM: diabetes melitus; HDL: lipoprote&#237;na de alta densidade;
                     LDL: lipoporote&#237;na de baixa densidade.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>A preval&#234;ncia de fatores de risco tradicionais demonstrada na <xref ref-type="table" rid="t02">Tabela 2</xref> alcan&#231;a quase 90% para hipertens&#227;o e dislipidemia,
            indicando ainda que 75% eram sedent&#225;rios. Diabetes apresentou preval&#234;ncia de 35,8% na
            popula&#231;&#227;o em hemodi&#225;lise de Porto Alegre (<xref ref-type="table" rid="t02">Tabela
               2</xref>).</p>
      <table-wrap id="t02">
        <label>Tabela 2</label>
        <caption>
          <title>Preval&#234;ncia de fatores de risco cardiovascular no CORDIAL (%)</title>
        </caption>
        <table frame="hsides" rules="rows">
          <tbody>
            <tr>
              <td>Hipertens&#227;o</td>
              <td>87.5</td>
            </tr>
            <tr>
              <td>Diabetes</td>
              <td>35.8</td>
            </tr>
            <tr>
              <td>Dislipidemia</td>
              <td>84.7</td>
            </tr>
            <tr>
              <td>Tabagismo</td>
              <td>53.7</td>
            </tr>
            <tr>
              <td>Sedentarismo</td>
              <td>73.1</td>
            </tr>
            <tr>
              <td>Idosos (&#8805; 65 anos)</td>
              <td>34.9</td>
            </tr>
            <tr>
              <td>Masculinos</td>
              <td>59.5</td>
            </tr>
            <tr>
              <td>Obesidade (IMC &#8805; 30)</td>
              <td>12.4</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>Em uma an&#225;lise multivariada (<xref ref-type="table" rid="t03">Tabela 3</xref>), os
            pacientes idosos apresentaram uma maior preval&#234;ncia de diabetes e sedentarismo.
            Hipertens&#227;o, tabagismo e obesidade, no entanto, foram mais prevalentes nos mais jovens.
            Tabagismo foi mais prevalente entre os homens, enquanto obesidade, dislipidemia e
            sedentarismo foi mais comum em mulheres. Sedentarismo foi mais prevalente entre aqueles
            em di&#225;lise h&#225; menos de 12 meses (tend&#234;ncia linear). Hipertens&#227;o, diabetes, dislipidemia
            e sedentarismo foram mais prevalentes entre aqueles com diagn&#243;stico de doen&#231;a
            cardiovascular.</p>
      <table-wrap id="t03">
        <label>Tabela 3</label>
        <caption>
          <title>Raz&#227;o de preval&#234;ncia ajustada (RP) de cada fator de risco cardiovascular no
                  estudo CORDIAL</title>
        </caption>
        <table frame="hsides" rules="rows">
          <thead>
            <tr>
              <th>&#160;</th>
              <th colspan="2">
                <bold>Hipertens&#227;o</bold>
              </th>
              <th colspan="2">
                <bold>Diabetes</bold>
              </th>
              <th colspan="2">
                <bold>Dislipidemia</bold>
              </th>
              <th colspan="2">
                <bold>Tabagismo</bold>
              </th>
              <th colspan="2">
                <bold>Sedentarismo</bold>
              </th>
              <th colspan="2">
                <bold>Obesidade</bold>
              </th>
            </tr>
            <tr>
              <th>&#160;</th>
              <th>
                <bold>RP (IC95%)</bold>
              </th>
              <th>
                <bold>p</bold>
              </th>
              <th>
                <bold>RP (IC95%)</bold>
              </th>
              <th>
                <bold>p</bold>
              </th>
              <th>
                <bold>RP (IC95%)</bold>
              </th>
              <th>
                <bold>p</bold>
              </th>
              <th>
                <bold>RP (IC95%)</bold>
              </th>
              <th>
                <bold>p</bold>
              </th>
              <th>
                <bold>RP (IC95%)</bold>
              </th>
              <th>
                <bold>p</bold>
              </th>
              <th>
                <bold>RP (IC95%)</bold>
              </th>
              <th>
                <bold>p</bold>
              </th>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>G&#234;nero</td>
              <td>&#160;</td>
              <td align="center">0,883</td>
              <td>&#160;</td>
              <td align="center">0,453</td>
              <td>&#160;</td>
              <td align="center">0,019</td>
              <td>&#160;</td>
              <td align="center">0,006</td>
              <td>&#160;</td>
              <td align="center">0,032</td>
              <td>&#160;</td>
              <td align="center">&lt; 0,001</td>
            </tr>
            <tr>
              <td>Feminino</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
            </tr>
            <tr>
              <td>Masculino</td>
              <td align="center">1,00(0,96-1,05)</td>
              <td>&#160;</td>
              <td align="center">0,94 (0,81-1,10)</td>
              <td>&#160;</td>
              <td align="center">0,93(0,88-0,99)</td>
              <td>&#160;</td>
              <td align="center">1,57 (1,14-2,15)</td>
              <td>&#160;</td>
              <td align="center">0,93(0,87-0,99)</td>
              <td>&#160;</td>
              <td align="center">0,51(0,38-0,69)</td>
              <td>&#160;</td>
            </tr>
            <tr>
              <td>Idade - anos</td>
              <td>&#160;</td>
              <td align="center">0,018</td>
              <td>&#160;</td>
              <td align="center">&lt; 0,001</td>
              <td>&#160;</td>
              <td align="center">0,645</td>
              <td>&#160;</td>
              <td align="center">&lt; 0,001</td>
              <td>&#160;</td>
              <td align="center">&lt; 0,001</td>
              <td>&#160;</td>
              <td align="center">&lt; 0,001</td>
            </tr>
            <tr>
              <td>&lt; 65</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
            </tr>
            <tr>
              <td>&#8805; 65</td>
              <td align="center">0,94(0,90-0,99)</td>
              <td>&#160;</td>
              <td align="center">1,46(1,26-1,69)</td>
              <td>&#160;</td>
              <td align="center">1,01 (0,95-1,08)</td>
              <td>&#160;</td>
              <td align="center">0,37(0,24-0,56)</td>
              <td>&#160;</td>
              <td align="center">1,16(1,09-1,24)</td>
              <td>&#160;</td>
              <td align="center">0,53(0,37-0,77)</td>
              <td>&#160;</td>
            </tr>
            <tr>
              <td>Ra&#231;a</td>
              <td>&#160;</td>
              <td align="center">0,232</td>
              <td>&#160;</td>
              <td align="center">0,753</td>
              <td>&#160;</td>
              <td align="center">0,534</td>
              <td>&#160;</td>
              <td align="center">0,057</td>
              <td>&#160;</td>
              <td align="center">0,884</td>
              <td>&#160;</td>
              <td align="center">0,840</td>
            </tr>
            <tr>
              <td>Brancos</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
            </tr>
            <tr>
              <td>Outros</td>
              <td align="center">0,97(0,93-1,02)</td>
              <td>&#160;</td>
              <td align="center">0,97(0,83-1,14)</td>
              <td>&#160;</td>
              <td align="center">1,02 (0,96-1,08)</td>
              <td>&#160;</td>
              <td align="center">1,33 (0,99-1,78)</td>
              <td>&#160;</td>
              <td align="center">1,01(0,94-1,08)</td>
              <td>&#160;</td>
              <td align="center">0,97 (0,71-1,31)</td>
              <td>&#160;</td>
            </tr>
            <tr>
              <td>Tempo em di&#225;lise - meses</td>
              <td>&#160;</td>
              <td align="center">0,384</td>
              <td>&#160;</td>
              <td align="center">0,334</td>
              <td>&#160;</td>
              <td align="center">0,442</td>
              <td>&#160;</td>
              <td align="center">0,091</td>
              <td>&#160;</td>
              <td align="center">&lt; 0,001</td>
              <td>&#160;</td>
              <td align="center">0,936</td>
            </tr>
            <tr>
              <td>1 - 12</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
            </tr>
            <tr>
              <td>13 - 24</td>
              <td align="center">1,01(0,95-1,07)</td>
              <td>&#160;</td>
              <td align="center">1,09(0,89-1,34)</td>
              <td>&#160;</td>
              <td align="center">1,04 (0,95-1,15)</td>
              <td>&#160;</td>
              <td align="center">1,23(0,75-2,03)</td>
              <td>&#160;</td>
              <td align="center">0,86(0,77-0,95)</td>
              <td>&#160;</td>
              <td align="center">0,98(0,61-1,58)</td>
              <td>&#160;</td>
            </tr>
            <tr>
              <td>25 - 36</td>
              <td align="center">0,98(0,91-1,06)</td>
              <td>&#160;</td>
              <td align="center">1,05(0,83-1,33)</td>
              <td>&#160;</td>
              <td align="center">1,06 (0,96-1,18)</td>
              <td>&#160;</td>
              <td align="center">1,60(0,96-2,66)</td>
              <td>&#160;</td>
              <td align="center">0,90(0,81-1,00)</td>
              <td>&#160;</td>
              <td align="center">0,72(0,39-1,35)</td>
              <td>&#160;</td>
            </tr>
            <tr>
              <td>&gt; 36</td>
              <td align="center">0,98(0,93-1,03)</td>
              <td>&#160;</td>
              <td align="center">0,92(0,76-1,12)</td>
              <td>&#160;</td>
              <td align="center">1,03(0,96-1,11)</td>
              <td>&#160;</td>
              <td align="center">1,39(0,94-2,06)</td>
              <td>&#160;</td>
              <td align="center">0,81(0,75-0,88)</td>
              <td>&#160;</td>
              <td align="center">1,03 (0,70-1,51)</td>
              <td>&#160;</td>
            </tr>
            <tr>
              <td>Diagn&#243;stico de doen&#231;a cardiovascular</td>
              <td>&#160;</td>
              <td align="center">&lt; 0,001</td>
              <td>&#160;</td>
              <td align="center">&lt; 0,001</td>
              <td>&#160;</td>
              <td align="center">0,009</td>
              <td>&#160;</td>
              <td align="center">0,564</td>
              <td>&#160;</td>
              <td align="center">0,049</td>
              <td>&#160;</td>
              <td align="center">0,230</td>
            </tr>
            <tr>
              <td>N&#227;o</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
              <td align="center">1,00</td>
              <td>&#160;</td>
            </tr>
            <tr>
              <td>Sim</td>
              <td align="center">1,14 (1,09-1,18)</td>
              <td>&#160;</td>
              <td align="center">1,42(1,22-1,66)</td>
              <td>&#160;</td>
              <td align="center">1,08 (1,02-1,15)</td>
              <td>&#160;</td>
              <td align="center">0,91 (0,67-1,25)</td>
              <td>&#160;</td>
              <td align="center">1,07(1,00-1,15)</td>
              <td>&#160;</td>
              <td align="center">1,21(0,89-1,65)</td>
              <td>&#160;</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>Os 1215 indiv&#237;duos inclu&#237;dos em nosso estudo representam 97,3% de todos os pacientes em
            programas de hemodi&#225;lise por insufici&#234;ncia renal cr&#244;nica neste per&#237;odo na cidade de
            Porto Alegre. As caracter&#237;sticas demogr&#225;ficas da popula&#231;&#227;o do estudo foram similares &#224;s
            de outros estudos em diversos pa&#237;ses<xref ref-type="bibr" rid="B09">9</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B10">10</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B12">12</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B14">14</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B18">18</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B19">19</xref>. A m&#233;dia de idade foi pr&#243;xima a 60 anos (com 35%
            acima de 65 anos) e aproximadamente 60% dos participantes foram do sexo masculino. Em
            geral, esta fase inicial do estudo CORDIAL descreve uma elevada preval&#234;ncia de diversos
            fatores tradicionais de risco cardiovascular. As preval&#234;ncias de hipertens&#227;o (87,5%),
            dislipidemia (84,7%), sedentarismo (73,1%), tabagismo (53,7%) e diabetes (35,8%) foram
            similares &#224;s de estudos recentes desenvolvidos em todo o mundo<xref ref-type="bibr" rid="B09">9</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B12">12</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B14">14</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B18">18</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B19">19</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B24">24</xref> e tamb&#233;m compar&#225;veis
            aos achados de pacientes com DRC em fase pr&#233;-di&#225;lise<xref ref-type="bibr" rid="B04">4</xref>.</p>
      <p>Hipertens&#227;o arterial foi encontrada em 87,5% dos nossos pacientes, um resultado mais
            elevado do que o encontrado por Portol&#233;s e cols.<xref ref-type="bibr" rid="B19">19</xref>(estudo MAR) em uma coorte multic&#234;ntrica na Espanha h&#225; uma d&#233;cada (75,8%),
            mas similar a outros, como 87,1% no estudo de Ohsawa e cols.<xref ref-type="bibr" rid="B18">18</xref> no Jap&#227;o (estudo KAREN, 2005)<xref ref-type="bibr" rid="B18">18</xref>, 86% em uma coorte de 2.535 pacientes nos EUA (Agarwal e cols.<xref ref-type="bibr" rid="B25">25</xref> e em torno de 86% em dois estudos na Espanha<xref ref-type="bibr" rid="B09">9</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B12">12</xref>. O estudo CHOICE encontrou uma preval&#234;ncia maior (96% entre 1.041
               indiv&#237;duos)<xref ref-type="bibr" rid="B14">14</xref>. A press&#227;o arterial pr&#233;-di&#225;lise
            em nossa popula&#231;&#227;o (em torno de 147/82mmHg) foi similar a outros estudos (149/79mmHg no
            CHOICE e 147/80mmHg no DMMS Wave2)<xref ref-type="bibr" rid="B10">10</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B14">14</xref>. Press&#227;o arterial n&#227;o
            controlada nas medidas pr&#233;-di&#225;lise representou 72% em nossa coorte (<xref ref-type="table" rid="t01">Tabela 1</xref>), semelhante aos 70% no estudo de Agarwal
            e cols.<xref ref-type="bibr" rid="B25">25</xref> e aos 69% do estudo CHOICE<xref ref-type="bibr" rid="B14">14</xref>. No CORDIAL, uma an&#225;lise multivariada ajustada
            verificou que os pacientes com menos de 65 anos apresentaram uma preval&#234;ncia mais
            elevada de hipertens&#227;o arterial.</p>
      <p>A hipertens&#227;o arterial tem sido relacionada a uma maior mortalidade nos pacientes em
               hemodi&#225;lise<xref ref-type="bibr" rid="B26">26</xref>, e a import&#226;ncia do tratamento
            da press&#227;o arterial nesses indiv&#237;duos foi salientada em duas metan&#225;lises recentes que
            sugeriram uma redu&#231;&#227;o dos eventos cardiovasculares e da mortalidade por qualquer causa
            naqueles tratados com drogas antihipertensivas<xref ref-type="bibr" rid="B27">27</xref>
				<sup>,</sup>
				<xref ref-type="bibr" rid="B28">28</xref>.</p>
      <sec>
        <title>Dislipidemia</title>
        <p>Entre nossos pacientes, a preval&#234;ncia de dislipidemia foi 84,7%, uma taxa mais
               elevada se comparada a outros estudos como os 50% do CHOICE<xref ref-type="bibr" rid="B14">14</xref>. Os crit&#233;rios diferentes utilizados para definir dislipidemia
               em cada estudo dificultam uma compara&#231;&#227;o adequada. A m&#233;dia de LDL-colesterol de
               nossos pacientes (94,3mg/dL) foi similar a outros<xref ref-type="bibr" rid="B09">9</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B12">12</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B14">14</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B18">18</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B19">19</xref>, embora
               Kronnenberg tenha relatado valores mais elevados (115 mg/dL)<xref ref-type="bibr" rid="B24">24</xref>.</p>
        <p>A preval&#234;ncia de triglicer&#237;deos elevados foi 45,2% em nosso estudo, maior do que o
               resultado de Collado e cols.<xref ref-type="bibr" rid="B12">12</xref> e do que o
               estudo CHOICE (36,9% acima de 200 mg/dL)<xref ref-type="bibr" rid="B14">14</xref>. Os
               valores m&#233;dios foram 171,7 mg/dL no CORDIAL, maiores do que no estudo KAREN e no
               ANSWER, sendo semelhantes ao estudo MAR e ao de Kronnenberg e cols.<xref ref-type="bibr" rid="B24">24</xref>, e menores do que no CHOICE (199 mg/dL)<xref ref-type="bibr" rid="B09">9</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B14">14</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B18">18</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B19">19</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B24">24</xref>. HDL-colesterol abaixo de 40 mg/dL foi mais prevalente em nossa coorte
               (60,3%) do que nos outros<xref ref-type="bibr" rid="B09">9</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B14">14</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B18">18</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B19">19</xref>. Uma exce&#231;&#227;o foi o
               resultado de 66% relatado por Kronnenberg e cols.<xref ref-type="bibr" rid="B24">24</xref>.</p>
        <p>No CORDIAL, encontramos uma preval&#234;ncia ajustada mais elevada de dislipidemia nas
               pacientes femininas, enquanto que Ohsawa et al. relataram um achado oposto<xref ref-type="bibr" rid="B18">18</xref>. Embora n&#227;o haja a demonstra&#231;&#227;o de uma
               associa&#231;&#227;o entre lip&#237;dios e o desenvolvimento de desfechos cardiovasculares nos
               pacientes em di&#225;lise<xref ref-type="bibr" rid="B29">29</xref>, a mensura&#231;&#227;o dos
               lip&#237;dios e seu tratamento permanecem como uma abordagem fundamental na preven&#231;&#227;o das
               DCV mesmo nesses pacientes com DRC<xref ref-type="bibr" rid="B24">24</xref>.</p>
      </sec>
      <sec>
        <title>Tabagismo</title>
        <p>Tabagismo est&#225; associado a um risco bastante elevado de doen&#231;a card&#237;aca nos pacientes
               em di&#225;lise<xref ref-type="bibr" rid="B08">8</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B16">16</xref>. Fumantes e ex-fumantes foram 53,7% dos nossos pacientes,
               semelhante a outros estudos<xref ref-type="bibr" rid="B09">9</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B10">10</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B12">12</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B14">14</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B19">19</xref>. Treze por cento de nossos pacientes eram
               fumantes atuais, achado similar ao de outros autores<xref ref-type="bibr" rid="B09">9</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B14">14</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B19">19</xref>, &#224; exce&#231;&#227;o do estudo KAREN, com 28,2%<xref ref-type="bibr" rid="B18">18</xref>. No CORDIAL, a preval&#234;ncia ajustada de
               tabagismo foi maior nos homens e naqueles com mais de 65 anos de idade.</p>
      </sec>
      <sec>
        <title>Sedentarismo</title>
        <p>Sedentarismo foi identificado em 73,1% de nossos pacientes. No estudo CHOICE<xref ref-type="bibr" rid="B14">14</xref>, apenas 14% relataram atividade f&#237;sica intensa
               pelo menos 3 vezes por semana. Tentori e cols.<xref ref-type="bibr" rid="B30">30</xref> descreveram resultados de 29.920 pacientes no estudo DOPPS com a
               atividade f&#237;sica auto-relatada de 47,4%. Comorbidades e limita&#231;&#245;es f&#237;sicas poderiam
               explicar a baixa ader&#234;ncia de pacientes em hemodi&#225;lise aos programas de
                  exerc&#237;cios<xref ref-type="bibr" rid="B31">31</xref>. Al&#233;m disso, a idade avan&#231;ada
               poderia representar uma outra limita&#231;&#227;o &#224; atividade f&#237;sica - entre nossos pacientes,
               a preval&#234;ncia ajustada de sedentarismo foi maior nos idosos acima de 65 anos do que
               nos pacientes mais jovens (<xref ref-type="table" rid="t03">Tabela 3</xref>).</p>
      </sec>
      <sec>
        <title>Diabetes</title>
        <p>A preval&#234;ncia de diabetes entre os pacientes em di&#225;lise j&#225; &#233; elevada e continua
                  aumentando<xref ref-type="bibr" rid="B32">32</xref>. A taxa de sobreviv&#234;ncia em 5
               anos para os diab&#233;ticos em hemodi&#225;lise &#233; pior do que nos n&#227;o diab&#233;ticos. Um estudo
               recente no Brasil encontrou 41,1 versus 62,7%, respectivamente<xref ref-type="bibr" rid="B33">33</xref>. De acordo com a base de dados de 2009 do USRDS, apenas 30%
               dos pacientes diab&#233;ticos sobrevivem 5 anos ap&#243;s iniciar hemodi&#225;lise<xref ref-type="bibr" rid="B01">1</xref>. No CORDIAL, diab&#233;ticos eram 35,8% da
               popula&#231;&#227;o, uma taxa inferior &#224;quela apresentada no CHOICE (54%)<xref ref-type="bibr" rid="B14">14</xref>, mas semelhante aos 38,5% do relat&#243;rio anual de 2012 do
                  USRDS<xref ref-type="bibr" rid="B34">34</xref>, com outros variando de 26 at&#233;
                  43%<xref ref-type="bibr" rid="B09">9</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B10">10</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B18">18</xref>
					<sup>-</sup>
					<xref ref-type="bibr" rid="B20">20</xref>.</p>
      </sec>
      <sec>
        <title>Obesidade</title>
        <p>Obesidade estimada pelo &#237;ndice de massa corporal (IMC) estava presente em 12,4% dos
               indiv&#237;duos no CORDIAL. O estudo MAR<xref ref-type="bibr" rid="B19">19</xref> relatou
               obesidade em 14% dos seus pacientes, enquanto que no ANSWER e no CHOICE a preval&#234;ncia
               foi maior (20 e 26%, respectivamente)<xref ref-type="bibr" rid="B09">9</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B14">14</xref>. Diferentemente da
               popula&#231;&#227;o geral, pacientes com sobrepeso em di&#225;lise apresentam progn&#243;stico melhor,
               supostamente devido a um estado nutricional melhor<xref ref-type="bibr" rid="B35">35</xref>. Recentemente, o IMC foi considerado um &#237;ndice n&#227;o eficiente para a
               avalia&#231;&#227;o do excesso de gordura corporal e, portanto, de obesidade<xref ref-type="bibr" rid="B36">36</xref>. Epidemiologia reversa e uma avalia&#231;&#227;o
               inadequada do ac&#250;mulo de gordura poderiam explicar este "paradoxo da obesidade" na
                  DRC<xref ref-type="bibr" rid="B37">37</xref>.</p>
      </sec>
      <sec>
        <title>Idade avan&#231;ada</title>
        <p>Nos pacientes com DRC em hemodi&#225;lise, idade avan&#231;ada proporciona risco cardiovascular
               que se assemelha &#224; rela&#231;&#227;o descrita na popula&#231;&#227;o geral<xref ref-type="bibr" rid="B38">38</xref>. H&#225; uma preval&#234;ncia crescente de idosos na popula&#231;&#227;o em hemodi&#225;lise em
               todo o mundo<xref ref-type="bibr" rid="B09">9</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B10">10</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B19">19</xref>. No censo
               brasileiro de di&#225;lise de 2000, aqueles com 60 anos ou mais eram 26%<xref ref-type="bibr" rid="B39">39</xref>, enquanto que em 2011 havia 31,5% com idade de
               65 anos ou mais<xref ref-type="bibr" rid="B40">40</xref>. No CORDIAL, tamb&#233;m em 2011,
               encontramos uma taxa de 34,9%.</p>
      </sec>
      <sec>
        <title>Limita&#231;&#245;es</title>
        <p>Nossos dados apresentam as limita&#231;&#245;es usuais dos estudos transversais, especialmente
               para infer&#234;ncias causais. Foi necess&#225;rio que nos limit&#225;ssemos aos resultados
               laboratoriais de 15 centros de di&#225;lise em vez de utilizar um laborat&#243;rio central.
               Relatamos taxas similares &#224;s observadas em outros estudos, mas nossos dados n&#227;o podem
               ser generalizados para outras cidades do pa&#237;s. Nossos dados, no entanto, apresentam a
               for&#231;a de terem sido adquiridos a partir de uma grande popula&#231;&#227;o com poucas exclus&#245;es
               e com a coleta por entrevistas padronizadas individualmente e coleta de dados de
               prontu&#225;rios com revis&#227;o dupla.</p>
      </sec>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclus&#227;o</title>
      <p>A popula&#231;&#227;o em hemodi&#225;lise cr&#244;nica nesta cidade metropolitana da Am&#233;rica do Sul descrita
            no estudo CORDIAL apresenta uma elevada preval&#234;ncia de fatores de risco cardiovascular.
            Estes achados confirmam no Brasil aquilo que j&#225; havia sido previamente verificado nos
            pa&#237;ses do hemisf&#233;rio norte, o perfil de elevado risco cardiovascular dos pacientes em
            hemodi&#225;lise. Estudos prospectivos e ensaios cl&#237;nicos s&#227;o necess&#225;rios para melhor definir
            poss&#237;veis interven&#231;&#245;es que possam ser transformadas em estrat&#233;gias de sa&#250;de p&#250;blica com
            o objetivo de prevenir morte cardiovascular nos pacientes em hemodi&#225;lise.</p>
    </sec>
  </body>
  <back>
    <ack>
      <sec>
        <title>Agradecimentos</title>
        <p>Os autores agradecem aos diretores m&#233;dicos de todas as unidades de di&#225;lise da cidade
               de Porto Alegre pelo seu consentimento e apoio a este estudo.</p>
      </sec>
    </ack>
    <app-group>
      <app id="ap01">
        <title>Ap&#234;ndice 1 - Cl&#237;nicas de di&#225;lise de Porto Alegre, Brasil</title>
        <p>Centro de Dialise e Transplante, CliniRim, Clinica Nefron, Clinica Vita Rim, Hospital
               das Clinicas de Porto Alegre, Hospital Divina Provid&#234;ncia, Hospital Ernesto
               Dornelles, Hospital M&#227;e de Deus, Hospital Moinhos de Vento, Hospital N. Sra. da
               Concei&#231;&#227;o, Hospital Parque Bel&#233;m, Hospital Santa Casa Porto Alegre, Hospital S&#227;o
               Lucas, Hospital Vila Nova, M&#227;e de Deus Center.</p>
      </app>
      <app id="ap02">
        <title>Ap&#234;ndice 2 - Pesquisadores associados do estudo CORDIAL</title>
        <p>Amanda Galdino Macolmes, Camila Borges Mosmann, Daiane Jaqueline Nascimento, Debora
               Wassaf Youssef, Eduardo Hoffmann Miranda, Felipe Borsu Salles, Fernando Mendon&#231;a
               Alvares, Fernando Augusto Dannebrock, Gabriela Dotta Dornelles, Gisiane Munaro, Jaime
               Fracasso Jr, Jap&#227;o Drose Pereira, Jean Pierre W. Youssef, Liana Pilau Abreu, Liz
               Lopes Sombrio, Luana Bringhenti, Luzia Gross Lague, Maikel Alf Klein, Mariano
               Feraboli Fontana, Mauricio Rodrigues, Natalia Fiorentin Caramori, Ramiro Tubino
               Saraiva, Renata Rech Grandi, Renato Budzyn David, Veridiana Borges Costa.</p>
      </app>
    </app-group>
    <fn-group>
      <fn fn-type="con">
        <p>
          <bold>Contribui&#231;&#227;o dos autores</bold>
        </p>
        <p>Concep&#231;&#227;o e desenho da pesquisa: Burmeister JE, Rosito GA; Obten&#231;&#227;o de dados:
                  Burmeister JE, Mosmann CB, Costa VB, Saraiva RT, Grandi RR, Bastos JP; An&#225;lise e
                  interpreta&#231;&#227;o dos dados: Burmeister JE, Mosmann CB, Costa VB, Bastos JP, Gon&#231;alves
                  LF, Rosito GA; An&#225;lise estat&#237;stica: Burmeister JE, Bastos JP, Gon&#231;alves LF, Rosito
                  GA; Reda&#231;&#227;o do manuscrito: Burmeister JE, Mosmann CB, Costa VB, Saraiva RT, Grandi
                  RR, Bastos JP, Rosito GA; Revis&#227;o cr&#237;tica do manuscrito quanto ao conte&#250;do
                  intelectual importante: Burmeister JE, Mosmann CB, Costa VB, Bastos JP, Gon&#231;alves
                  LF, Rosito GA; Coordena&#231;&#227;o do trabalho de coleta e registro de dados: Burmeister
                  JE; Coordenador Geral do Projeto: Rosito GA.</p>
      </fn>
      <fn fn-type="financial-disclosure">
        <p>
          <bold>Fontes de Financiamento</bold>
        </p>
        <p>O presente estudo n&#227;o teve fontes de financiamento externas.</p>
      </fn>
      <fn fn-type="other">
        <p>
          <bold>Vincula&#231;&#227;o Acad&#234;mica</bold>
        </p>
        <p>N&#227;o h&#225; vincula&#231;&#227;o deste estudo com disserta&#231;&#245;es e teses de p&#243;s-gradua&#231;&#227;o.</p>
      </fn>
    </fn-group>
    <ref-list>
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        <mixed-citation>39. Sesso R. Inqu&#233;rito epidemiol&#243;gico em unidades de di&#225;lise do Brasil.
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          <article-title xml:lang="pt">Inqu&#233;rito epidemiol&#243;gico em unidades de di&#225;lise do
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          <source>J Bras Nefrol</source>
          <year>2000</year>
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            </name>
            <name>
              <surname>Lopes</surname>
              <given-names>AA</given-names>
            </name>
            <name>
              <surname>Thom&#233;</surname>
              <given-names>FS</given-names>
            </name>
            <name>
              <surname>Lugon</surname>
              <given-names>JR</given-names>
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              <given-names>DR</given-names>
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                  Brasileiro de Di&#225;lise, 2011</article-title>
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        </element-citation>
      </ref>
    </ref-list>
  </back>
  <sub-article article-type="translation" id="SA1" xml:lang="en">
    <front-stub>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title xml:lang="en">Prevalence of Cardiovascular Risk Factors in Hemodialysis
               Patients - The CORDIAL Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Burmeister</surname>
            <given-names>Jayme Eduardo</given-names>
          </name>
          <xref ref-type="aff" rid="aff6">1</xref>
          <xref ref-type="aff" rid="aff7">2</xref>
          <xref ref-type="corresp" rid="c01"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mosmann</surname>
            <given-names>Camila Borges</given-names>
          </name>
          <xref ref-type="aff" rid="aff7">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Costa</surname>
            <given-names>Veridiana Borges</given-names>
          </name>
          <xref ref-type="aff" rid="aff10">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Saraiva</surname>
            <given-names>Ramiro Tubino</given-names>
          </name>
          <xref ref-type="aff" rid="aff7">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Grandi</surname>
            <given-names>Renata Rech</given-names>
          </name>
          <xref ref-type="aff" rid="aff7">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bastos</surname>
            <given-names>Juliano Peixoto</given-names>
          </name>
          <xref ref-type="aff" rid="aff7">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Gon&#231;alves</surname>
            <given-names>Luiz Felipe</given-names>
          </name>
          <xref ref-type="aff" rid="aff8">3</xref>
          <xref ref-type="aff" rid="aff9">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Rosito</surname>
            <given-names>Guido Aranha</given-names>
          </name>
          <xref ref-type="aff" rid="aff6">1</xref>
          <xref ref-type="aff" rid="aff7">2</xref>
        </contrib>
      </contrib-group>
      <aff id="aff6">
        <label>1</label>
        <institution content-type="orgname">Universidade Federal de Ci&#234;ncias da Sa&#250;de de Porto
               Alegre</institution>
        <institution content-type="orgdiv1">Programa de P&#243;s-gradua&#231;&#227;o em Ci&#234;ncias da
               Sa&#250;de</institution>
        <addr-line>
          <named-content content-type="city">Porto Alegre</named-content>
          <named-content content-type="state">RS</named-content>
        </addr-line>
        <country>Brazil</country>
        <institution content-type="original">Universidade Federal de Ci&#234;ncias da Sa&#250;de de Porto
               Alegre - Programa de P&#243;s-gradua&#231;&#227;o em Ci&#234;ncias da Sa&#250;de, Porto Alegre, RS -
               Brazil</institution>
      </aff>
      <aff id="aff7">
        <label>2</label>
        <institution content-type="orgname">Universidade Luterana do Brasil</institution>
        <institution content-type="orgdiv1">Curso de Medicina</institution>
        <addr-line>
          <named-content content-type="city">Porto Alegre</named-content>
          <named-content content-type="state">RS</named-content>
        </addr-line>
        <country>Brazil</country>
        <institution content-type="original">Universidade Luterana do Brasil - Curso de
               Medicina, Porto Alegre, RS - Brazil</institution>
      </aff>
      <aff id="aff8">
        <label>3</label>
        <institution content-type="orgname">Universidade Federal do Rio Grande do
               Sul</institution>
        <institution content-type="orgdiv1">Faculdade de Medicina</institution>
        <addr-line>
          <named-content content-type="city">Porto Alegre</named-content>
          <named-content content-type="state">RS</named-content>
        </addr-line>
        <country>Brazil</country>
        <institution content-type="original">Universidade Federal do Rio Grande do Sul -
               Faculdade de Medicina, Porto Alegre, RS - Brazil</institution>
      </aff>
      <aff id="aff9">
        <label>4</label>
        <institution content-type="orgname">Hospital M&#227;e de Deus</institution>
        <institution content-type="orgdiv1">Departamento de Nefrologia</institution>
        <addr-line>
          <named-content content-type="city">Porto Alegre</named-content>
          <named-content content-type="state">RS</named-content>
        </addr-line>
        <country>Brazil</country>
        <institution content-type="original">Hospital M&#227;e de Deus - Departamento de Nefrologia,
               Porto Alegre, RS - Brazil</institution>
      </aff>
      <aff id="aff10">
        <label>5</label>
        <institution content-type="orgname">Universidade Federal de Ci&#234;ncias da Sa&#250;de de Porto
               Alegre</institution>
        <institution content-type="orgdiv1">Faculdade de Medicina</institution>
        <addr-line>
          <named-content content-type="city">Porto Alegre</named-content>
          <named-content content-type="state">RS</named-content>
        </addr-line>
        <country>Brazil</country>
        <institution content-type="original">Universidade Federal de Ci&#234;ncias da Sa&#250;de de Porto
               Alegre - Faculdade de Medicina, Porto Alegre, RS - Brazil</institution>
      </aff>
      <author-notes>
        <corresp id="c02"><bold>Mailing Address: Jayme Eduardo Burmeister,</bold> Rua Cel. Lucas de Oliveira,
               1270, Apto 301, Bela Vista. Postal Code 90440 010, Porto Alegre, RS - Brazil. E-mail:
                  <email>jb.nefro@gmail.com</email>
				</corresp>
        <fn fn-type="conflict">
          <p>
            <bold>Potential Conflict of Interest</bold>
          </p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <abstract xml:lang="en">
        <sec>
          <title>Background:</title>
          <p>There are scarce epidemiological data on cardiovascular risk profile of chronic
                  hemodialysis patients in Brazil.</p>
        </sec>
        <sec>
          <title>Objective:</title>
          <p>The CORDIAL study was designed to evaluate cardiovascular risk factors and follow
                  up a hemodialysis population in a Brazilian metropolitan city.</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>All patients undergoing regular hemodialysis for chronic renal failure in all
                  fifteen nephrology centers of Porto Alegre were considered for inclusion in the
                  baseline phase of the CORDIAL study. Clinical, laboratory and demographic data
                  were obtained in medical records and in structured individual interviews performed
                  in all patients by trained researchers.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>A total of 1215 patients were included (97.3% of all hemodialysis patients in the
                  city of Porto Alegre). Their average age was 58.3 years old, 59.5% were male and
                  62.8% were white. The prevalence of cardiovascular risk factors observed was 87.5%
                  for hypertension, 84.7% for dyslipidemia, 73.1% for sedentary lifestyle, 53.7% for
                  tobacco use, and 35.8% for diabetes. In a multivariate adjusted analysis, we found
                  that sedentary lifestyle (p = 0.032, PR 1.08 - 95%CI: 1.01-1.15), dyslipidemia (p
                  = 0.019, PR 1.08 - 95%CI: 1.01-1.14), and obesity (p &lt; 0.001, PR 1.96 - 95%CI:
                  1.45-2.63) were more frequent in women; and hypertension (p = 0.018, PR 1.06 -
                  95%CI: 1.01-1.11) and tobacco use (p = 0.006, PR 2.7 - 95%CI: 1.79-4.17) were more
                  often found among patients under 65 years old. Sedentary lifestyle was
                  independently associated with time in dialysis less than 12 months (p &lt; 0.001,
                  PR 1.23 - 95% CI: 1.14-1.33).</p>
        </sec>
        <sec>
          <title>Conclusion:</title>
          <p>Hemodialysis patients in this southern metropolitan Brazilian city have a high
                  prevalence of cardiovascular risk factors resembling many northern countries.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>Patients</kwd>
        <kwd>Renal dialysis</kwd>
        <kwd>Risk factors</kwd>
        <kwd>Prevalence</kwd>
      </kwd-group>
    </front-stub>
    <body>
      <sec sec-type="intro">
        <title>Introduction</title>
        <p>Cardiovascular diseases (CVD) are the main cause of death in chronic kidney disease
               (CKD) patients on hemodialysis<xref ref-type="bibr" rid="B01">1</xref>
					<sup>-</sup>
					<xref ref-type="bibr" rid="B03">3</xref>. In these patients,
               cardiovascular mortality is 10- to 20-fold higher when compared to individuals from
               the general population of the same sex, age and race<xref ref-type="bibr" rid="B02">2</xref>
					<sup>-</sup>
					<xref ref-type="bibr" rid="B05">5</xref> and can be up to 44
               times higher in the presence of diabetes<xref ref-type="bibr" rid="B06">6</xref>. CVD
               are present since the early stages of chronic kidney disease and reach around 30 to
               44% of those beginning hemodialysis<xref ref-type="bibr" rid="B07">7</xref>
					<sup>-</sup>
					<xref ref-type="bibr" rid="B10">10</xref>. Strikingly, occult
               ischemic CVD are present in up to 50% of asymptomatic dialysis patients<xref ref-type="bibr" rid="B07">7</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B11">11</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B12">12</xref>.</p>
        <p>This high amount of CVD can be attributed to the high prevalence of cardiovascular
               risk factors<xref ref-type="bibr" rid="B13">13</xref>. Although traditional risk
               factors alone could not entirely explain such a high CVD burden<xref ref-type="bibr" rid="B04">4</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B14">14</xref>, they seem
               to be highly predictive of cardiovascular events<xref ref-type="bibr" rid="B12">12</xref>, especially in the elderly<xref ref-type="bibr" rid="B15">15</xref>.
               Likewise, cardiovascular profile seems to allow risk stratification in CKD<xref ref-type="bibr" rid="B16">16</xref>.</p>
        <p>A large percentage of patients entering dialysis have a clustering of non-controlled
               risk factors for CVD<xref ref-type="bibr" rid="B14">14</xref> leading to an even
               higher chance of adverse outcomes<xref ref-type="bibr" rid="B17">17</xref>.</p>
        <p>This high prevalence of traditional CVD risk factors on chronic hemodialysis patients
               has been reported in several studies in different world countries<xref ref-type="bibr" rid="B08">8</xref>
					<sup>-</sup>
					<xref ref-type="bibr" rid="B10">10</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B12">12</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B14">14</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B18">18</xref>
					<sup>-</sup>
					<xref ref-type="bibr" rid="B20">20</xref>. However, there is
               a lack of consistent epidemiological data in our country for this population, both
               for methodological biases and the use of small samples restricted to a single
               hospital or clinic.</p>
        <p>The main objective of this study was to evaluate the prevalence of traditional
               cardiovascular risk factors in the population of CKD outpatients on chronic
               hemodialysis in a southern metropolitan city of Brazil.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <sec>
          <title>Study Design and Research Population</title>
          <p>The CORDIAL (Cardiovascular Outcomes Registry in Dialysis Patients) study was
                  designed to collect data on cardiovascular risk profile and carry out the
                  follow-up of all CKD patients enrolled in a regular outpatient hemodialysis
                  program in the city of Porto Alegre, Brazil. The present article describes the
                  baseline phase data and reports a cross-sectional analysis of this population.</p>
          <p>Eligibility criteria for enrollment included age 18 years or more, being in
                  chronic outpatient dialysis for more than 30 days, and ability to provide informed
                  consent for participation. The study complies with the Declaration of Helsinki and
                  the protocol was approved by the Ethics Committee for Research of Universidade
                  Federal de Ci&#234;ncias da Sa&#250;de de Porto Alegre (UFCSPA) and by the review boards of
                  the clinical centers included.</p>
          <p>From August 2010 to March 2011, all CKD patients on hemodialysis in each of the
                  fifteen dialysis centers of the city of Porto Alegre (<xref ref-type="app" rid="ap03">Appendix 1</xref>) were considered for enrollment and 1215 (97.3% of
                  all) matched the inclusion criteria and agreed to provide informed consent.</p>
        </sec>
        <sec>
          <title>CORDIAL Data Collection</title>
          <p>To collect the CORDIAL baseline data we used a standardized case report form
                  adapted and extended to our needs from the REACH registry, a study performed in
                  several countries including Brazil<xref ref-type="bibr" rid="B21">21</xref>. The
                  form was comprehensively filled after visits to each center where patients, health
                  care staff and electronic clinical records were accessed.</p>
          <p>Weight, height and blood pressure measured before and after the dialysis session
                  (mean of the last 3 sessions) were obtained from reviewing the patients' medical
                  records. Prevalence of atherosclerotic cardiovascular disease, diabetes, and
                  hypertension were established by reviewing all history and physical data in the
                  dialysis clinic medical charts and other available medical documents. Furthermore,
                  we considered as hypertensive any patient in use of antihypertensive drugs, or
                  those with mean pre dialysis blood pressure in the stage 1 or up of the Seventh
                  Report of the Joint National Committee on Prevention, Detection, Evaluation, and
                  Treatment of High Blood Pressure (JNC 7) classification<xref ref-type="bibr" rid="B22">22</xref>.</p>
          <p>The definition of diabetes included both type 1 and type 2, with or without oral
                  hypoglycemic medication or insulin. Tobacco use was registered as past or present.
                  In accordance with the Kidney Disease Outcomes Quality Initiative of the National
                  Kidney Foundation (K/DOQI-NKF)<xref ref-type="bibr" rid="B23">23</xref>,
                  dyslipidemia was defined as the presence of any of the following - total
                  cholesterol &gt; 200 mg/dL, low-density lipoprotein (LDL)-cholesterol &gt; 100
                  mg/dL, high-density lipoprotein (HDL)-cholesterol &lt; 40 mg/dL, triglycerides
                  &gt; 150 mg/dL, or the use of statin. Current physical activity was established by
                  an inquiry asking about "any moderate activity (as light walking, bicycling, or
                  gardening) or hard one (running, playing football - soccer, hard swimming) at
                  least 30 min two times per week" and "how many minutes in a week".</p>
          <p>Laboratory data were obtained from the medical chart as the most recent result in
                  the six preceding months.</p>
          <p>Data about gender were available for all CORDIAL participants, about age for 1213
                  (99.8%), and race, height and weight for 1206 (99.3%) each.</p>
          <p>Information about hypertension status, cardiovascular disease, physical activity,
                  smoking and lipid profile were available respectively for 1210 (99.6%), 1170
                  (96.3%), 1150 (94.7%), 1147 (94.4%), and 1121 (92.3%) of the individuals in the
                  cohort.</p>
        </sec>
        <sec>
          <title>Statistics</title>
          <p>Statistical analyses were carried out in STATA 9.0. Descriptive statistics were
                  used to characterize the sample. Unadjusted and adjusted prevalence ratios were
                  calculated separately for each dependent variable (hypertension, diabetes,
                  dyslipidemia, tobacco use, sedentary lifestyle, and obesity) with independent
                  variables (gender, age, race, time in dialysis, and diagnosis of cardiovascular
                  disease). All tests were two-tailed and the significance level used was 0.05.</p>
        </sec>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>The present study included 1215 subjects (97.3% population on chronic outpatient
               hemodialysis) with a mean age of 58.3 years old, being 59.5% males and 62.8 %
               white.</p>
        <p><xref ref-type="table" rid="t04">Table 1</xref> presents demographic and clinical
               data for all the patients in the CORDIAL study and also stratified by gender.</p>
        <table-wrap id="t04">
          <label>Table 1</label>
          <caption>
            <title>Clinical and demographic data for the patients in the CORDIAL study</title>
          </caption>
          <table frame="hsides" rules="rows">
            <thead>
              <tr>
                <th>&#160;</th>
                <th>
                  <bold>All</bold>
                </th>
                <th>
                  <bold>Male</bold>
                </th>
                <th>
                  <bold>Female</bold>
                </th>
              </tr>
              <tr>
                <th>&#160;</th>
                <th>
                  <bold>(n = 1215)</bold>
                </th>
                <th>
                  <bold>(n = 723)</bold>
                </th>
                <th>
                  <bold>(n = 492)</bold>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td colspan="4">
                  <bold>Demographics</bold>
                </td>
              </tr>
              <tr>
                <td>Age (years) &#8211; mean(SD)</td>
                <td align="center">58.3 (15.0)</td>
                <td align="center">59.1 (14.6)</td>
                <td align="center">57.1 (15.4)</td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Race &#8211; %</bold>
                </td>
              </tr>
              <tr>
                <td>White</td>
                <td align="center">62.8</td>
                <td align="center">66.2</td>
                <td align="center">57.8</td>
              </tr>
              <tr>
                <td>Black</td>
                <td align="center">25.9</td>
                <td align="center">23.1</td>
                <td align="center">30.1</td>
              </tr>
              <tr>
                <td>Other</td>
                <td align="center">11.3</td>
                <td align="center">10.7</td>
                <td align="center">12.1</td>
              </tr>
              <tr>
                <td>Time in dialysis (months) &#8211; median (interquartile range)</td>
                <td align="center">34 (12-71)</td>
                <td align="center">35 (12-67)</td>
                <td align="center">34 (12-72)</td>
              </tr>
              <tr>
                <td>Age of beginning dialysis (years-old) &#8211; mean (SD)</td>
                <td align="center">54.1 (15.9)</td>
                <td align="center">54.9 (15.6)</td>
                <td align="center">53.0 (16.2)</td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Clinical data</bold>
                </td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Diabetes</bold>
                </td>
              </tr>
              <tr>
                <td>DM 1 - n (%)</td>
                <td align="center">27</td>
                <td align="center">15 (55.6)</td>
                <td align="center">12 (44.4)</td>
              </tr>
              <tr>
                <td>DM 2 - n (%)</td>
                <td align="center">407</td>
                <td align="center">239 (58.7)</td>
                <td align="center">168 (41.3)</td>
              </tr>
              <tr>
                <td>
                  <bold>BMI (kg/m<sup>2</sup>) &#8211; mean (SD)</bold>
                </td>
                <td align="center">
                  <bold>24.7 (4.7)</bold>
                </td>
                <td align="center">
                  <bold>24.3 (4.2)</bold>
                </td>
                <td align="center">
                  <bold>25.2 (5.4)</bold>
                </td>
              </tr>
              <tr>
                <td>&lt; 18.5 (kg/m<sup>2</sup>) - %</td>
                <td align="center">6.1</td>
                <td align="center">5.0</td>
                <td align="center">7.8</td>
              </tr>
              <tr>
                <td>18.5 to 24.9 (kg/m<sup>2</sup>) - %</td>
                <td align="center">52.1</td>
                <td align="center">56.2</td>
                <td align="center">46.2</td>
              </tr>
              <tr>
                <td>25 to 29.9 (kg/m<sup>2</sup>) - %</td>
                <td align="center">29.4</td>
                <td align="center">30.0</td>
                <td align="center">28.3</td>
              </tr>
              <tr>
                <td>&#8805; 30 (kg/m<sup>2</sup>) - %</td>
                <td align="center">12.4</td>
                <td align="center">8.8</td>
                <td align="center">17.7</td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Pre-dialysis blood pressure</bold>
                </td>
              </tr>
              <tr>
                <td>Systolic (mmHg) &#8211; mean (SD)</td>
                <td align="center">146.9 (23.4)</td>
                <td align="center">147.3 (23.3)</td>
                <td align="center">146.4 (23.5)</td>
              </tr>
              <tr>
                <td>Diastolic (mmHg) &#8211; mean (SD)</td>
                <td align="center">82.5 (14.0)</td>
                <td align="center">82.8 (13.9)</td>
                <td align="center">81.9 (14.1)</td>
              </tr>
              <tr>
                <td>Systolic &#8805; 140 mmHg &#8211; %</td>
                <td align="center">70.2</td>
                <td align="center">71.6</td>
                <td align="center">68.6</td>
              </tr>
              <tr>
                <td>Diastolic &#8805; 90 mmHg &#8211; %</td>
                <td align="center">34.7</td>
                <td align="center">36.0</td>
                <td align="center">32.9</td>
              </tr>
              <tr>
                <td>Systolic &#8805; 140 mmHg and/or diastolic &#8805; 90mmHg &#8211; %</td>
                <td align="center">72.2</td>
                <td align="center">74.7</td>
                <td align="center">70.0</td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Lipid profile</bold>
                </td>
              </tr>
              <tr>
                <td>Cholesterol, total (mg/dL) &#8211; mean (SD)</td>
                <td align="center">168.2 (48.3)</td>
                <td align="center">159.0 (44.1)</td>
                <td align="center">183.1 (50.6)</td>
              </tr>
              <tr>
                <td>HDL-cholesterol (mg/dL) &#8211; mean (SD)</td>
                <td align="center">40.1 (14.8)</td>
                <td align="center">37.6 (12.6)</td>
                <td align="center">43.7 (16.8)</td>
              </tr>
              <tr>
                <td>LDL-cholesterol (mg/dL &#8211; mean (SD)</td>
                <td align="center">94.3 (38.1)</td>
                <td align="center">88.6 (35.4)</td>
                <td align="center">102.4 (40.4)</td>
              </tr>
              <tr>
                <td>Triglycerides (mg/dL) &#8211; mean (SD)</td>
                <td align="center">171.7 (133.0)</td>
                <td align="center">167.8 (145.3)</td>
                <td align="center">177.5 (112.6)</td>
              </tr>
              <tr>
                <td>Total cholesterol &gt;200 mg/dL &#8211; %</td>
                <td align="center">22.5</td>
                <td align="center">16.3</td>
                <td align="center">31.5</td>
              </tr>
              <tr>
                <td>HDL-cholesterol &lt;40 mg/dL &#8211; %</td>
                <td align="center">60.3</td>
                <td align="center">64.5</td>
                <td align="center">49.5</td>
              </tr>
              <tr>
                <td>LDL-cholesterol &gt;100 mg/dL &#8211; %</td>
                <td align="center">39.4</td>
                <td align="center">32.2</td>
                <td align="center">49.5</td>
              </tr>
              <tr>
                <td>Triglycerides &gt;150 mg/dL - %</td>
                <td align="center">45.2</td>
                <td align="center">41.6</td>
                <td align="center">50.6</td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Tobacco use</bold>
                </td>
              </tr>
              <tr>
                <td>Ex-smokers - %</td>
                <td align="center">40.5</td>
                <td align="center">46.8</td>
                <td align="center">31.2</td>
              </tr>
              <tr>
                <td>Active smokers - %</td>
                <td align="center">13.2</td>
                <td align="center">15.2</td>
                <td align="center">10.2</td>
              </tr>
              <tr>
                <td>Years of tobacco use for active smokers &#8211; mean (SD)</td>
                <td align="center">30.8 (15.0)</td>
                <td align="center">31.2 (14.9)</td>
                <td align="center">30.0 (15.3)</td>
              </tr>
              <tr>
                <td>Number of cig/day for active smokers &#8211; mean (SD)</td>
                <td align="center">12.5 (10.8)</td>
                <td align="center">12.7 (11.2)</td>
                <td align="center">12.0 (10.0)</td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Physical activity</bold>
                </td>
              </tr>
              <tr>
                <td>None - %</td>
                <td align="center">73.1</td>
                <td align="center">71.1</td>
                <td align="center">76.2</td>
              </tr>
              <tr>
                <td>Up to 60 minutes/week - %</td>
                <td align="center">9.6</td>
                <td align="center">10.6</td>
                <td align="center">8.0</td>
              </tr>
              <tr>
                <td>From 60 to 90 min/week - %</td>
                <td align="center">5.6</td>
                <td align="center">5.5</td>
                <td align="center">5.8</td>
              </tr>
              <tr>
                <td>From 90 to 120 min/week - %</td>
                <td align="center">4.9</td>
                <td align="center">5.2</td>
                <td align="center">4.3</td>
              </tr>
              <tr>
                <td>Over 120 min/week - %</td>
                <td align="center">6.8</td>
                <td align="center">7.6</td>
                <td align="center">5.6</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>DM: diabetes mellitus; BMI: body mass index; SD: standard deviation; HDL:
                        high density lipoprotein; LDL: low density lipoprotein.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>The prevalence of traditional cardiovascular risk factors displayed in Table 2
               reaches almost 90% for hypertension and dyslipidemia, and about 75% of the subjects
               were sedentary. Diabetes has a prevalence of 35.8 % in the hemodialysis population of
               Porto Alegre (<xref ref-type="table" rid="t05">Table 2</xref>).</p>
        <table-wrap id="t05">
          <label>Table 2</label>
          <caption>
            <title>Prevalence of cardiovascular risk factors in CORDIAL (%)</title>
          </caption>
          <table frame="hsides" rules="rows">
            <tbody>
              <tr>
                <td>Hypertension</td>
                <td>87.5</td>
              </tr>
              <tr>
                <td>Diabetes</td>
                <td>35.8</td>
              </tr>
              <tr>
                <td>Dyslipidemia</td>
                <td>84.7</td>
              </tr>
              <tr>
                <td>Tobacco use</td>
                <td>53.7</td>
              </tr>
              <tr>
                <td>Sedentary lifestyle</td>
                <td>73.1</td>
              </tr>
              <tr>
                <td>Elderly (&#8805; 65 years)</td>
                <td>34.9</td>
              </tr>
              <tr>
                <td>Male</td>
                <td>59.5</td>
              </tr>
              <tr>
                <td>Obesity (BMI &#8805; 30)</td>
                <td>12.4</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>In a multivariate analysis (<xref ref-type="table" rid="t06">Table 3</xref>), older
               patients presented a higher prevalence of diabetes and sedentary lifestyle.
               Hypertension, tobacco use, and obesity, however, were more prevalent in the younger
               ones. Tobacco use was more prevalent in males, while obesity, dyslipidemia, and
               sedentary lifestyle were more common in females. Sedentary lifestyle was more
               prevalent in those who were on dialysis for less than 12 months (linear tendency).
               Hypertension, diabetes, dyslipidemia, and low physical activity were more prevalent
               among those with diagnosis of cardiovascular disease.</p>
        <table-wrap id="t06">
          <label>Table 3</label>
          <caption>
            <title>Adjusted prevalence rates (PR) of each cardiovascular risk factor in
                     CORDIAL study</title>
          </caption>
          <table frame="hsides" rules="rows">
            <thead>
              <tr>
                <th>&#160;</th>
                <th colspan="2">
                  <bold>Hypertension</bold>
                </th>
                <th colspan="2">
                  <bold>Diabetes</bold>
                </th>
                <th colspan="2">
                  <bold>Dyslipidemia</bold>
                </th>
                <th colspan="2">
                  <bold>Tobacco</bold>
                </th>
                <th colspan="2">
                  <bold>Sedentary lifestyle</bold>
                </th>
                <th colspan="2">
                  <bold>Obesity</bold>
                </th>
              </tr>
              <tr>
                <th>&#160;</th>
                <th>
                  <bold>PR (95%CI)</bold>
                </th>
                <th>
                  <bold>p</bold>
                </th>
                <th>
                  <bold>PR (95%CI)</bold>
                </th>
                <th>
                  <bold>p</bold>
                </th>
                <th>
                  <bold>PR (95%CI)</bold>
                </th>
                <th>
                  <bold>p</bold>
                </th>
                <th>
                  <bold>PR (95%CI)</bold>
                </th>
                <th>
                  <bold>p</bold>
                </th>
                <th>
                  <bold>PR (95%CI)</bold>
                </th>
                <th>
                  <bold>p</bold>
                </th>
                <th>
                  <bold>PR (95%CI)</bold>
                </th>
                <th>
                  <bold>p</bold>
                </th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td> Gender</td>
                <td>&#160;</td>
                <td align="center">0.883</td>
                <td>&#160;</td>
                <td align="center">0.453</td>
                <td>&#160;</td>
                <td align="center">0.019</td>
                <td>&#160;</td>
                <td align="center">0.006</td>
                <td>&#160;</td>
                <td align="center">0.032</td>
                <td>&#160;</td>
                <td align="center">&lt; 0.001</td>
              </tr>
              <tr>
                <td> Female</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
              </tr>
              <tr>
                <td> Male</td>
                <td align="center">1.00(0.96-1.05)</td>
                <td>&#160;</td>
                <td align="center">0.94 (0.81-1.10)</td>
                <td>&#160;</td>
                <td align="center">0.93(0.88-0.99)</td>
                <td>&#160;</td>
                <td align="center">1.57 (1.14-2.15)</td>
                <td>&#160;</td>
                <td align="center">0.93(0.87-0.99)</td>
                <td>&#160;</td>
                <td align="center">0.51(0.38-0.69)</td>
                <td>&#160;</td>
              </tr>
              <tr>
                <td> Age &#8211; years-old</td>
                <td>&#160;</td>
                <td align="center">0.018</td>
                <td>&#160;</td>
                <td align="center">&lt; 0.001</td>
                <td>&#160;</td>
                <td align="center">0.645</td>
                <td>&#160;</td>
                <td align="center">&lt; 0.001</td>
                <td>&#160;</td>
                <td align="center">&lt; 0.001</td>
                <td>&#160;</td>
                <td align="center">&lt; 0.001</td>
              </tr>
              <tr>
                <td>&lt; 65</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
              </tr>
              <tr>
                <td>&#8805; 65</td>
                <td align="center">0.94(0.90-0.99)</td>
                <td>&#160;</td>
                <td align="center">1.46(1.26-1.69)</td>
                <td>&#160;</td>
                <td align="center">1.01 (0.95-1.08)</td>
                <td>&#160;</td>
                <td align="center">0.37(0.24-0.56)</td>
                <td>&#160;</td>
                <td align="center">1.16(1.09-1.24)</td>
                <td>&#160;</td>
                <td align="center">0.53(0.37-0.77)</td>
                <td>&#160;</td>
              </tr>
              <tr>
                <td> Race</td>
                <td>&#160;</td>
                <td align="center">0.232</td>
                <td>&#160;</td>
                <td align="center">0.753</td>
                <td>&#160;</td>
                <td align="center">0.534</td>
                <td>&#160;</td>
                <td align="center">0.057</td>
                <td>&#160;</td>
                <td align="center">0.884</td>
                <td>&#160;</td>
                <td align="center">0.840</td>
              </tr>
              <tr>
                <td> White</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
              </tr>
              <tr>
                <td> White</td>
                <td align="center">0.97(0.93-1.02)</td>
                <td>&#160;</td>
                <td align="center">0.97(0.83-1.14)</td>
                <td>&#160;</td>
                <td align="center">1.02 (0.96-1.08)</td>
                <td>&#160;</td>
                <td align="center">1.33 (0.99-1.78)</td>
                <td>&#160;</td>
                <td align="center">1.01(0.94-1.08)</td>
                <td>&#160;</td>
                <td align="center">0.97 (0.71-1.31)</td>
                <td>&#160;</td>
              </tr>
              <tr>
                <td>Time in dialysis &#8211; months</td>
                <td>&#160;</td>
                <td align="center">0.384</td>
                <td>&#160;</td>
                <td align="center">0.334</td>
                <td>&#160;</td>
                <td align="center">0.442</td>
                <td>&#160;</td>
                <td align="center">0.091</td>
                <td>&#160;</td>
                <td align="center">&lt; 0.001</td>
                <td>&#160;</td>
                <td align="center">0.936</td>
              </tr>
              <tr>
                <td> 1 - 12</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
              </tr>
              <tr>
                <td> 13 - 24</td>
                <td align="center">1.01(0.95-1.07)</td>
                <td>&#160;</td>
                <td align="center">1.09(0.89-1.34)</td>
                <td>&#160;</td>
                <td align="center">1.04 (0.95-1.15)</td>
                <td>&#160;</td>
                <td align="center">1.23(0.75-2.03)</td>
                <td>&#160;</td>
                <td align="center">0.86(0.77-0.95)</td>
                <td>&#160;</td>
                <td align="center">0.98(0.61-1.58)</td>
                <td>&#160;</td>
              </tr>
              <tr>
                <td> 25 - 36</td>
                <td align="center">0.98(0.91-1.06)</td>
                <td>&#160;</td>
                <td align="center">1.05(0.83-1.33)</td>
                <td>&#160;</td>
                <td align="center">1.06 (0.96-1.18)</td>
                <td>&#160;</td>
                <td align="center">1.60(0.96-2.66)</td>
                <td>&#160;</td>
                <td align="center">0.90(0.81-1.00)</td>
                <td>&#160;</td>
                <td align="center">0.72(0.39-1.35)</td>
                <td>&#160;</td>
              </tr>
              <tr>
                <td>&gt; 36</td>
                <td align="center">0.98(0.93-1.03)</td>
                <td>&#160;</td>
                <td align="center">0.92(0.76-1.12)</td>
                <td>&#160;</td>
                <td align="center">1.03(0.96-1.11)</td>
                <td>&#160;</td>
                <td align="center">1.39(0.94-2.06)</td>
                <td>&#160;</td>
                <td align="center">0.81(0.75-0.88)</td>
                <td>&#160;</td>
                <td align="center">1.03 (0.70-1.51)</td>
                <td>&#160;</td>
              </tr>
              <tr>
                <td>Diagnosis of cardiovascular disease</td>
                <td>&#160;</td>
                <td align="center">&lt; 0.001</td>
                <td>&#160;</td>
                <td align="center">&lt; 0.001</td>
                <td>&#160;</td>
                <td align="center">0.009</td>
                <td>&#160;</td>
                <td align="center">0.564</td>
                <td>&#160;</td>
                <td align="center">0.049</td>
                <td>&#160;</td>
                <td align="center">0.230</td>
              </tr>
              <tr>
                <td> No</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
                <td align="center">1.00</td>
                <td>&#160;</td>
              </tr>
              <tr>
                <td> Yes</td>
                <td align="center">1.14 (1.09-1.18)</td>
                <td>&#160;</td>
                <td align="center">1.42(1.22-1.66)</td>
                <td>&#160;</td>
                <td align="center">1.08 (1.02-1.15)</td>
                <td>&#160;</td>
                <td align="center">0.91 (0.67-1.25)</td>
                <td>&#160;</td>
                <td align="center">1.07(1.00-1.15)</td>
                <td>&#160;</td>
                <td align="center">1.21(0.89-1.65)</td>
                <td>&#160;</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec sec-type="discussion">
        <title>Discussion</title>
        <p>The 1215 individuals included in our study represent 97.3 % of all outpatients on
               hemodialysis for chronic renal failure during the collecting data period in Porto
               Alegre. The demographic characteristics of our study population were similar to other
               studies in several countries<xref ref-type="bibr" rid="B09">9</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B10">10</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B12">12</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B14">14</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B18">18</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B19">19</xref>. The mean age was close to 60 years old (with 35% over 65 years old)
               and almost 60% of the participants were men. Overall, the baseline cross-sectional
               phase of the CORDIAL study describes a high prevalence of various traditional
               cardiovascular risk factors. Prevalence of hypertension (87.5%), dyslipidemia
               (84.7%), sedentary lifestyle (73.1%), smoking (53.7%) and diabetes (35.8%) were
               similar to recent studies developed all over the world<xref ref-type="bibr" rid="B09">9</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B12">12</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B14">14</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B18">18</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B19">19</xref>
					<sup>,</sup>
					<xref ref-type="bibr" rid="B24">24</xref> and also comparable to findings in
               pre-dialysis CKD patients<xref ref-type="bibr" rid="B04">4</xref>.</p>
        <sec>
          <title>Hypertension</title>
          <p>Hypertension was found in 87.5 % of our patients, a result higher than that found
                  by Portol&#233;s et al. (the MAR study) in a multicenter cohort in Spain a decade ago
                  (75.8 %)<xref ref-type="bibr" rid="B19">19</xref>, but similar to others, like
                  87.1 % in the study by Ohsawa et al. in Japan (KAREN Study, 2005)<xref ref-type="bibr" rid="B18">18</xref>, 86 % in a cohort of 2535 patients in the
                  USA (Agarwal, 2003)<xref ref-type="bibr" rid="B25">25</xref>, and around 86 % in
                  two studies in Spain<xref ref-type="bibr" rid="B09">9</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B12">12</xref>. The CHOICE study found a higher prevalence
                  (96.0 % among 1041 individuals)<xref ref-type="bibr" rid="B14">14</xref>. Pre
                  dialysis mean blood pressure in our population (about 147/82 mmHg) is similar to
                  other studies (149/79 mmHg in CHOICE, and 147/80 mmHg in DMMS Wave2)<xref ref-type="bibr" rid="B10">10</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B14">14</xref>. Uncontrolled blood pressure in the pre dialysis measurements is 72
                  % in our cohort (Table 1), similar to the 70 % in the study of Agarwal et al<xref ref-type="bibr" rid="B25">25</xref> and to the 69 % in the CHOICE study<xref ref-type="bibr" rid="B14">14</xref>. In CORDIAL, a multivariate adjusted
                  analysis found that patients under 65 years-old presented a higher prevalence of
                  hypertension.</p>
          <p>Hypertension has been related to higher mortality in hemodialysis patients<xref ref-type="bibr" rid="B26">26</xref> and the importance of treating high blood
                  pressure in these individuals was highlighted in two recent meta-analysis
                  suggesting a reduction in cardiovascular events and all-cause mortality in those
                  treated with antihypertensive drugs<xref ref-type="bibr" rid="B27">27</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B28">28</xref>.</p>
        </sec>
        <sec>
          <title>Dyslipidemia</title>
          <p>Among our patients, the prevalence of dyslipidemia was 84.7 %, a higher rate
                  comparing to other studies like 50% in CHOICE<xref ref-type="bibr" rid="B14">14</xref>. The different criteria in each study preclude a more accurate
                  comparison. Our mean LDL-cholesterol (94.3 mg/L) was similar to others<xref ref-type="bibr" rid="B09">9</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B12">12</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B14">14</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B18">18</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B19">19</xref>, with
                  Kronnnenberg reporting a higher value (115 mg/dL)<xref ref-type="bibr" rid="B24">24</xref>.</p>
          <p>The prevalence of elevated triglycerides was 45.2 % in our cohort, higher than the
                  study by Collado et al<xref ref-type="bibr" rid="B12">12</xref> and the CHOICE
                  study (36.9 % over 200mg/dL)<xref ref-type="bibr" rid="B14">14</xref>. Mean values
                  were 171.7 mg/dL in CORDIAL, higher than in KAREN and ANSWER, similar to the MAR
                  study and Kronenberg et al<xref ref-type="bibr" rid="B24">24</xref>, and lower
                  than CHOICE (199mg/dL)<xref ref-type="bibr" rid="B09">9</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B14">14</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B18">18</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B19">19</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B24">24</xref>.
                  HDL-cholesterol under 40 mg/dL was more prevalent in our cohort (60.3 %) than in
                     others<xref ref-type="bibr" rid="B09">9</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B14">14</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B18">18</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B19">19</xref>. An exception
                  was the 66 % reported by Kronenberg et al<xref ref-type="bibr" rid="B24">24</xref>.</p>
          <p>In CORDIAL, there was a higher adjusted prevalence of dyslipidemia in female
                  patients, while Ohsawa et al. reported an opposite finding<xref ref-type="bibr" rid="B18">18</xref>. Although there is not a proven association between serum
                  lipids and the development CVD outcomes in dialysis patients<xref ref-type="bibr" rid="B29">29</xref>, lipid measurements and treatment remains a cornerstone
                  approach to prevent CVD even in CKD patients<xref ref-type="bibr" rid="B24">24</xref>.</p>
        </sec>
        <sec>
          <title>Smoking</title>
          <p>Tobacco use is associated with a markedly increased risk of heart disease in
                  dialysis patients<xref ref-type="bibr" rid="B08">8</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B16">16</xref>. Smoking (past or present) was described in
                  53.7 % of our patients, in accordance to others studies<xref ref-type="bibr" rid="B09">9</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B10">10</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B12">12</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B14">14</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B19">19</xref>. Thirteen
                  percent of our patients were current smokers, similar to other authors<xref ref-type="bibr" rid="B09">9</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B14">14</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B19">19</xref>, except for the
                  KAREN study, with 28.2%<xref ref-type="bibr" rid="B18">18</xref>. In CORDIAL, the
                  adjusted prevalence of tobacco use was higher in males and in those with less than
                  65 years.</p>
        </sec>
        <sec>
          <title>Sedentary lifestyle</title>
          <p>Sedentary lifestyle was identified in 73.1% of our patients. In the CHOICE
                     study<xref ref-type="bibr" rid="B14">14</xref>, only 14 % reported physical
                  activity to perspiration at least 3 times a week. Tentori et al. (2010)<xref ref-type="bibr" rid="B30">30</xref> described results of 20,920 patients in the
                  DOPPS study with a self-reported regular physical activity of 47.4 %.
                  Comorbidities and physical limitations could explain the low adherence of
                  haemodialysis patients to exercise programs<xref ref-type="bibr" rid="B31">31</xref>. Besides, older age could represent another limitation to physical
                  activity - among our patients, adjusted prevalence of physical inactivity was
                  higher in those over 65 years than in younger patients (Table 3).</p>
        </sec>
        <sec>
          <title>Diabetes</title>
          <p>Diabetes prevalence among dialysis patients is already high and increasing<xref ref-type="bibr" rid="B32">32</xref>. The 5-year survival rate among diabetic
                  patients on hemodialysis is worse than in non-diabetics. A recent study in Brazil
                  found 41.1 <italic>versus</italic> 62.7 %, respectively<xref ref-type="bibr" rid="B33">33</xref>. According to the 2009 United States Renal Data System
                  (USRDS) database, only 30 % of the diabetic patients survived five years after
                  beginning hemodialysis<xref ref-type="bibr" rid="B01">1</xref>.</p>
          <p>In CORDIAL, diabetics were 35.8 % of the population, a lower rate than the one
                  presented in CHOICE (54%)<xref ref-type="bibr" rid="B14">14</xref>, but similar to
                  the 38.5% in the 2012 USRDS Annual Report<xref ref-type="bibr" rid="B34">34</xref>, with others ranging from 26 to 43 %<xref ref-type="bibr" rid="B09">9</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B10">10</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B18">18</xref>
						<sup>-</sup>
						<xref ref-type="bibr" rid="B20">20</xref>.</p>
        </sec>
        <sec>
          <title>Obesity</title>
          <p>Obesity estimated by body mass index (BMI) was present in 12.4% of individuals in
                  CORDIAL. The MAR study<xref ref-type="bibr" rid="B19">19</xref> reported obesity
                  in 14% of their patients, while in ANSWER and CHOICE the prevalence was higher (20
                  and 26%, respectively)<xref ref-type="bibr" rid="B09">9</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B14">14</xref>. Unlike the general population, overweight
                  dialysis patients have better prognosis, supposedly due to a better nutritional
                     status<xref ref-type="bibr" rid="B35">35</xref>. Recently, BMI has been
                  considered a non-efficient tool in the assessment of excess body fat content and
                  thereafter obesity<xref ref-type="bibr" rid="B36">36</xref>. Reverse epidemiology
                  and inadequate assessment of fat accumulation could explain the "obesity paradox"
                  in CKD<xref ref-type="bibr" rid="B37">37</xref>.</p>
          <p>
            <bold>Age</bold>
          </p>
          <p>In CKD patients on hemodialysis, older age confers a cardiovascular risk that
                  parallels the relationship described in the general population<xref ref-type="bibr" rid="B38">38</xref>. There is a growing prevalence of elderly
                  in the hemodialysis population all-over the world<xref ref-type="bibr" rid="B09">9</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B10">10</xref>
						<sup>,</sup>
						<xref ref-type="bibr" rid="B19">19</xref>. In the Brazilian dialysis census of 2000,
                  those with age 60 or more were 26 %<xref ref-type="bibr" rid="B39">39</xref>,
                  while in 2011 there were 31.5 % with age 65 or more<xref ref-type="bibr" rid="B40">40</xref>. In CORDIAL, also in 2011, we found a rate of 34.9 %.</p>
        </sec>
        <sec>
          <title>Limitations</title>
          <p>Our data presents the usual drawbacks of cross-sectional studies limiting causal
                  inferences. We had to rely on clinical laboratory measurements of 15 dialysis
                  centers instead of using a core lab. We described similar rates observed in other
                  studies, but our data cannot be generalized to other cities in our country. Our
                  data, however, has the strength of having been acquired from a large population
                  with few dropouts and double-checking structured individual interviews and
                  clinical charts.</p>
        </sec>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusion</title>
        <p>The population in chronic hemodialysis in this large metropolitan south-American city
               described in the CORDIAL study presents a high prevalence of cardiovascular risk
               factors. These findings confirm in Brazil what has been previously verified in
               northern hemisphere countries, the high-risk cardiovascular profile of hemodialysis
               patients. Prospective studies and clinical trials are needed to further clarify
               interventions that can be transformed in public health strategies to prevent
               cardiovascular death in hemodialysis patients.</p>
      </sec>
    </body>
    <back>
      <ack>
        <sec>
          <title>Acknowledgement</title>
          <p>The authors thank the medical directors of all dialysis units in the city of Porto
                  Alegre for their consent and assistance to this study.</p>
        </sec>
      </ack>
      <app-group>
        <app id="ap03">
          <title>Appendix 1 - Dialysis clinical centers of Porto Alegre, Brazil</title>
          <p>Centro de Dialise e Transplante, CliniRim, Clinica Nefron, Clinica Vita Rim,
                  Hospital das Clinicas de Porto Alegre, Hospital Divina Provid&#234;ncia, Hospital
                  Ernesto Dornelles, Hospital M&#227;e de Deus, Hospital Moinhos de Vento, Hospital N.
                  Sra. da Concei&#231;&#227;o, Hospital Parque Bel&#233;m, Hospital Santa Casa Porto Alegre,
                  Hospital S&#227;o Lucas, Hospital Vila Nova, M&#227;e de Deus Center.</p>
        </app>
        <app id="ap04">
          <title>Appendix 2 - Associated researchers to the CORDIAL study</title>
          <p>Amanda Galdino Macolmes, Camila Borges Mosmann, Daiane Jaqueline Nascimento,
                  Debora Wassaf Youssef, Eduardo Hoffmann Miranda, Felipe Borsu Salles, Fernando
                  Mendon&#231;a Alvares, Fernando Augusto Dannebrock, Gabriela Dotta Dornelles, Gisiane
                  Munaro, Jaime Fracasso Jr, Jap&#227;o Drose Pereira, Jean Pierre W. Youssef, Liana
                  Pilau Abreu, Liz Lopes Sombrio, Luana Bringhenti, Luzia Gross Lague, Maikel Alf
                  Klein, Mariano Feraboli Fontana, Mauricio Rodrigues, Natalia Fiorentin Caramori,
                  Ramiro Tubino Saraiva, Renata Rech Grandi, Renato Budzyn David, Veridiana Borges
                  Costa.</p>
        </app>
      </app-group>
      <fn-group>
        <fn fn-type="con">
          <p>
            <bold>Author contributions</bold>
          </p>
          <p>Conception and design of the research: Burmeister JE, Rosito GA; Acquisition of
                  data: Burmeister JE, Mosmann CB, Costa VB, Saraiva RT, Grandi RR, Bastos JP;
                  Analysis and interpretation of the data: Burmeister JE, Mosmann CB, Costa VB,
                  Bastos JP, Gon&#231;alves LF, Rosito GA; Statistical analysis: Burmeister JE, Bastos
                  JP, Gon&#231;alves LF, Rosito GA; Writing of the manuscript: Burmeister JE, Mosmann CB,
                  Costa VB, Saraiva RT, Grandi RR, Bastos JP, Rosito GA; Critical revision of the
                  manuscript for intellectual content: Burmeister JE, Mosmann CB, Costa VB, Bastos
                  JP, Gon&#231;alves LF, Rosito GA; Coordination work of collecting and recording data:
                  Burmeister JE; General Coordinator of the Project: Rosito GA.</p>
        </fn>
        <fn fn-type="financial-disclosure">
          <p>
            <bold>Sources of Funding</bold>
          </p>
          <p>There were no external funding sources for this study.</p>
        </fn>
        <fn fn-type="other">
          <p>
            <bold>Study Association </bold>
          </p>
          <p>This study is not associated with any thesis or dissertation work.</p>
        </fn>
      </fn-group>
    </back>
  </sub-article>
</article>
