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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ijcs</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Cardiovascular Sciences</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Int J Cardiovasc Sci</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2359-4802</issn>
      <issn pub-type="epub">2359-5647</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id specific-use="scielo-v3" pub-id-type="publisher-id">rbndrY6LgyCcwH4VGJ3vNNh</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S2359-56472026000100609</article-id>
      <article-id pub-id-type="doi">10.36660/ijcs.20250058</article-id>
      <article-id pub-id-type="other">00609</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Evidence-Based Pharmacological Treatment for Heart Failure in Brazil</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-6860-9750</contrib-id>
          <name>
            <surname>Rocha</surname>
            <given-names>Lu&#237;sa Preiss Marques da</given-names>
          </name>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Statistical analysis</role>
          <role>Writing of the manuscript</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-3433-0385</contrib-id>
          <name>
            <surname>Asturian</surname>
            <given-names>Kathleen</given-names>
          </name>
          <role>Acquisition of data</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Canabarro</surname>
            <given-names>Isabel Machado</given-names>
          </name>
          <role>Acquisition of data</role>
          <xref ref-type="aff" rid="aff2">
            <sup>2</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-5222-233X</contrib-id>
          <name>
            <surname>Einsfeld</surname>
            <given-names>Lidia</given-names>
          </name>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Statistical analysis</role>
          <role>Critical revision of the manuscript for intellectual content</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="aff3">
            <sup>3</sup>
          </xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8171-2688</contrib-id>
          <name>
            <surname>Pilger</surname>
            <given-names>Diogo</given-names>
          </name>
          <role>Conception and design of the research</role>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Statistical analysis</role>
          <role>Critical revision of the manuscript for intellectual content</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Universidade Federal do Rio Grande do Sul</institution>
          <addr-line>
            <named-content content-type="city">Porto Alegre</named-content>
            <named-content content-type="state">RS</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS &#8211; Brazil</institution>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution content-type="orgname">Universidade Federal de Santa Catarina</institution>
          <addr-line>
            <named-content content-type="city">Florian&#243;polis</named-content>
            <named-content content-type="state">SC</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Universidade Federal de Santa Catarina (UFSC), Florian&#243;polis, SC &#8211; Brazil</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution content-type="orgname">Hospital de Cl&#237;nicas de Porto Alegre</institution>
          <addr-line>
            <named-content content-type="city">Porto Alegre</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Hospital de Cl&#237;nicas de Porto Alegre (HCPA), Porto Alegre &#8211; Brazil</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><label>Mailing Address:</label><bold>Lidia Einsfeld</bold> &#8226; Universidade Federal do Rio Grande do Sul (UFRGS), Postgraduate Program in Pharmaceutical Services and Policies, Pharmacy Faculty. S&#227;o Lu&#237;s Street, 150, Annex I. Postal Code: <postal-code>90620-170</postal-code>, Porto Alegre, RS &#8211; Brazil E-mail: <email>l.einsfeld@gmail.com</email> </corresp>
        <fn fn-type="coi-statement">
          <label>Potential Conflict of Interest</label>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
        <fn fn-type="edited-by">
          <label>Editor responsible for the review:</label>
          <p>Ricardo Mourilhe-Rocha</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>13</day>
        <month>03</month>
        <year>2026</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2026</year>
      </pub-date>
      <volume>39</volume>
      <elocation-id>e20250058</elocation-id>
      <history>
        <date date-type="received">
          <day>17</day>
          <month>02</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>28</day>
          <month>07</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>25</day>
          <month>08</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License.</license-p>
        </license>
      </permissions>
      <related-article related-article-type="letter" id="r1" xlink:href="10.36660/ijcs.20260067" ext-link-type="doi"/>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background:</title>
          <p>Heart failure (HF) affects an estimated 64 million individuals globally. Current guideline-directed medical therapy (GDMT) comprises four cornerstone pharmacological medications proven to reduce hospitalization and/or mortality: renin-angiotensin system inhibitors, beta-blockers, mineralocorticoid receptor antagonists (MRA), and sodium-glucose cotransporter 2 inhibitors (SGLT2i).</p>
        </sec>
        <sec>
          <title>Objective:</title>
          <p>This study aimed to describe, through an exploratory analysis, access to HF drug therapy in Primary Health Care in Brazil, via the Brazilian Unified Health System (SUS).</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>This was a descriptive, cross-sectional study based on data extracted from Municipal Lists of Essential Medicines (REMUMEs) published on official municipalities&#8217; websites from Brazilian metropolitan regions in June 2024.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>A total of 387 municipalities were included, of which only 50.9% had a REMUME publicly available. Among these, 61.4% had been published within the previous 2 years. The frequency of each drug class was as follows: angiotensin-converting enzyme inhibitors in 92.4% of municipalities, angiotensin II receptor blockers in 80.2%, cardioselective beta-blockers in 91.9%, and MRAs in 85.8%. No REMUME simultaneously included all four GDMT medications. In 22.3% of the metropolitan cities, only two or fewer drug classes were available to patients&#8217; access.</p>
        </sec>
        <sec>
          <title>Conclusion:</title>
          <p>The remarkable variability in the composition of REMUMEs, along with the frequent omission of at least one of the four essential pharmacological pillars, indicates a potential suboptimal management of HF at the population level. Given the importance of comprehensive pharmacological treatment in HF, these findings highlight ongoing challenges in access to essential medicines within the SUS, even in metropolitan areas.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Heart Failure</kwd>
        <kwd>Drug Therapy</kwd>
        <kwd>Access to Essential Medicines and Health Technologies</kwd>
        <kwd>Health Services Accessibility</kwd>
      </kwd-group>
      <funding-group>
        <funding-statement><bold>Sources of Funding</bold> There were no external funding sources for this study.</funding-statement>
      </funding-group>
      <counts>
        <fig-count count="1"/>
        <table-count count="3"/>
        <equation-count count="0"/>
        <ref-count count="28"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introduction</title>
      <p>Heart failure (HF) affects over 64 million individuals globally, with an estimated prevalence ranging from 1% to 3% of the world population.<sup><xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B2">2</xref></sup> In Brazil, HF is the leading cause of hospitalizations among people over 65 years of age, resulting in costs of over 1.4 billion reais in hospitalizations and 77,290 deaths between 2018 and 2021.<sup><xref ref-type="bibr" rid="B3">3</xref>,<xref ref-type="bibr" rid="B4">4</xref></sup> Morbidity and mortality rates due to HF in Brazil surpass those observed in countries with higher per capita income, and pharmacological treatment is recognized as one of the most cost-effective interventions.<sup><xref ref-type="bibr" rid="B5">5</xref>,<xref ref-type="bibr" rid="B6">6</xref></sup></p>
      <p>HF management encompasses non-pharmacological strategies such as lifestyle modification, physical activity, and regular follow-up with healthcare teams, in addition to pharmacotherapy. Pharmacological treatment plays a fundamental role in improving clinical outcomes. According to the Brazilian Heart Failure Guidelines (DBIC), pharmacotherapy for HF, especially heart failure with reduced ejection fraction (HFrEF), is based on four essential pillars.<sup><xref ref-type="bibr" rid="B7">7</xref>,<xref ref-type="bibr" rid="B8">8</xref></sup> The first pillar includes inhibitors of the renin-angiotensin system, selecting among neprilysin inhibitors and angiotensin receptor blockers (ARNI), angiotensin-converting enzyme inhibitors (ACEI), or angiotensin II receptor blockers (ARBs). The second and third are cardioselective beta-blockers and mineralocorticoid receptor antagonists (MRA). Lastly, sodium-glucose cotransporter-2 inhibitors (SGLT2i), dapagliflozin or empagliflozin, represent the fourth pillar.<sup><xref ref-type="bibr" rid="B7">7</xref>,<xref ref-type="bibr" rid="B8">8</xref></sup></p>
      <p>In accordance with the Basic Component of Pharmaceutical Services, each municipality is responsible for establishing its own Municipal List of Essential Medicines (in Portuguese, <italic>Rela&#231;&#227;o Municipal de Medicamentos Especiais</italic>, or REMUME). The list is based on the epidemiology profile of municipal inhabitants, and it represents the main alternative for accessing medications in outpatient settings, according to the National Policy on Pharmaceutical Assistance of 2004.<sup><xref ref-type="bibr" rid="B9">9</xref>,<xref ref-type="bibr" rid="B10">10</xref></sup> On the other hand, access is also possible through the Brazilian Popular Pharmacy Program (PPP), a nationwide federal program that offers access to basic medications without any individual costs, in the same manner as those provided by municipalities.<sup><xref ref-type="bibr" rid="B11">11</xref></sup> Clinical guidelines of the Brazilian Unified Health System (SUS), including the Ministry of Health's Clinical Protocols and Therapeutic Guidelines (PCDTs), define recommended treatments for various health conditions, including the most effective, safe, and cost-effective medications. REMUMEs should reflect these guidelines by listing the medications available in each municipality. The absence of essential medicines recommended by PCDTs in the REMUME for prevalent diseases suggests inadequate implementation of guidelines in practice, as the effectiveness of guidelines depends directly on access to recommended drugs.</p>
      <fig id="f1">
        <caption>
          <title>Graphical representation of the availability of essential medications for heart failure pharmacological therapy in the municipal lists from the federal capital, state capitals, and their respective metropolitan regions. HF: heart failure; SUS: Brazilian Unified Health System.</title>
        </caption>
        <graphic xlink:href="2359-5647-ijcs-39-e20250058-50058-gf01.tif"/></fig>
      <p>Hence, this study aimed to describe the availability of medications for HF treatment in REMUMEs of Primary Care in Brazilian capitals and metropolitan municipalities.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <p>This is a descriptive, cross-sectional, documental study conducted between May and June of 2024. The sample comprehended the 27 capitals of the federative units (26 states and the Federal District) and the municipalities of the 24 metropolitan regions of each capital, except for Rio Branco, Acre; Campo Grande, Mato Grosso do Sul; and Bras&#237;lia, Federal District, which do not have a correspondent metropolitan region, according to the Brazilian Institute of Geography and Statistics (IBGE).<sup><xref ref-type="bibr" rid="B12">12</xref>,<xref ref-type="bibr" rid="B13">13</xref></sup></p>
      <p>The following data were collected from the online REMUMEs available in the public domain: the website address, the year of list publication, and the identification of HF medications recommended by the DBIC.<sup><xref ref-type="bibr" rid="B7">7</xref></sup> For data collection, a form was created using Microsoft Forms Office&#174;.</p>
      <p>To locate the online REMUMEs, three search strategies were used on the Google digital platform: 1) "REMUME and <italic>name of municipality</italic>"; 2) "List of medicines and <italic>name of municipality</italic>"; or 3) "Basic list and <italic>name of municipality</italic>". For municipalities where a REMUME was available, a double check was carried out by two independent researchers. A second search was performed for the REMUMEs not found primarily. Municipalities without accessible REMUMEs were excluded.</p>
      <p>In addition, the availability of medications via SUS, from the PPP, and the national list of specialized drugs (in Portuguese, <italic>Componente Especializado da Assist&#234;ncia Farmac&#234;utica</italic>, CEAF) were also assessed.</p>
      <p>Descriptive statistics were applied using Microsoft Excel<italic>&#174;</italic> software, and the municipalities were stratified into three groups according to the number of inhabitants: small (fewer than 25,000), medium (25,000 to 100,000), and large (more than 100,000).<sup><xref ref-type="bibr" rid="B14">14</xref>,<xref ref-type="bibr" rid="B15">15</xref></sup></p>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>A total of 387 municipalities (27 capitals and 360 metropolitan municipalities) were analyzed, with 197 (50.9%) presenting electronically accessible REMUMEs (<xref ref-type="table" rid="t1">Table 1</xref>). <xref ref-type="table" rid="t1">Table 1</xref> also details the availability proportion by region: lowest in the Northeast (34.2%) and highest in the South (78.8%). Most lists (61.4%; n = 121) were published within the past 2 years; 38 (19.3%) between 2020 and 2022, and 26 (13.2%) before 2020.</p>
      <table-wrap id="t1">
        <label>Table 1</label>
        <caption>
          <title>Regional distribution of municipalities and population, and the availability of REMUMEs in the public domain.</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup width="20%">
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#76B4CF;">
              <th align="left" valign="middle"/>
              <th align="center" valign="middle">Municipalities included (n)</th>
              <th align="center" valign="middle">Population <sup>15</sup></th>
              <th align="center" valign="middle">REMUME available in the public domain<break/> n (%)</th>
              <th align="center" valign="middle">Population with electronically available REMUME / total population of the region (%)</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">Brazil</td>
              <td align="center" valign="middle">387</td>
              <td align="center" valign="middle">82,284,563</td>
              <td align="center" valign="middle">197 (50.9)</td>
              <td align="center" valign="middle">81.6</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">North</td>
              <td align="center" valign="middle">47</td>
              <td align="center" valign="middle">7,176,867</td>
              <td align="center" valign="middle">23 (48.9)</td>
              <td align="center" valign="middle">62.2</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Northeast</td>
              <td align="center" valign="middle">117</td>
              <td align="center" valign="middle">19,005,260</td>
              <td align="center" valign="middle">40 (34.2)</td>
              <td align="center" valign="middle">72.6</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">Central-West</td>
              <td align="center" valign="middle">36</td>
              <td align="center" valign="middle">7,403,501</td>
              <td align="center" valign="middle">15 (41.7)</td>
              <td align="center" valign="middle">81.4</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Southeast</td>
              <td align="center" valign="middle">102</td>
              <td align="center" valign="middle">39,762,901</td>
              <td align="center" valign="middle">52 (51.0)</td>
              <td align="center" valign="middle">86.0</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle">South</td>
              <td align="center" valign="middle">85</td>
              <td align="center" valign="middle">8,936,034</td>
              <td align="center" valign="middle">67 (78.8)</td>
              <td align="center" valign="middle">97.4</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN1">
            <p>REMUME: Municipal List of Essential Medicines.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p><xref ref-type="table" rid="t2">Table 2</xref> describes the medications available in the REMUMEs. Lisinopril, perindopril, candesartan, and telmisartan were not found in any list (data not shown).</p>
      <table-wrap id="t2">
        <label>Table 2</label>
        <caption>
          <title>Frequency of selected medications for pharmacological treatment of heart failure by region.</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup width="12%">
            <col width="1%"/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#76B4CF;">
              <th align="left" colspan="2" valign="middle"/>
              <th align="center" valign="middle">Brazil<break/> (n=197)</th>
              <th align="center" valign="middle">North<break/> (n=23)</th>
              <th align="center" valign="middle">Northeast (n=40)</th>
              <th align="center" valign="middle">Central-West (n=15)</th>
              <th align="center" valign="middle">Southeast (n=52)</th>
              <th align="center" valign="middle">South<break/> (n=67)</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" colspan="2" valign="middle"/>
              <td align="center" valign="middle">n (%)</td>
              <td align="center" valign="middle">n (%)</td>
              <td align="center" valign="middle">n (%)</td>
              <td align="center" valign="middle">n (%)</td>
              <td align="center" valign="middle">n (%)</td>
              <td align="center" valign="middle">n (%)</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="2" valign="middle">
                <bold>ARNI</bold>
                <xref ref-type="table-fn" rid="TFN3">*</xref>
              </td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="2" valign="middle">
                <bold>ACEI</bold>
              </td>
              <td align="center" valign="middle">182 (92.4)</td>
              <td align="center" valign="middle">23 (100.0)</td>
              <td align="center" valign="middle">39 (97.5)</td>
              <td align="center" valign="middle">14 (93.3)</td>
              <td align="center" valign="middle">52 (100.0)</td>
              <td align="center" valign="middle">54 (80.6)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Enalapril<xref ref-type="table-fn" rid="TFN4">**</xref> </td>
              <td align="center" valign="middle">176 (89.3)</td>
              <td align="center" valign="middle">23 (100.0)</td>
              <td align="center" valign="middle">37 (92.5)</td>
              <td align="center" valign="middle">14 (93.3)</td>
              <td align="center" valign="middle">51 (98.1)</td>
              <td align="center" valign="middle">51 (76.1)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; 2 different formulations</td>
              <td align="center" valign="middle">111 (56.3)</td>
              <td align="center" valign="middle">15 (65.2)</td>
              <td align="center" valign="middle">24 (60.0)</td>
              <td align="center" valign="middle">10 (66.7)</td>
              <td align="center" valign="middle">31 (59.6)</td>
              <td align="center" valign="middle">31 (46.3)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Captopril<xref ref-type="table-fn" rid="TFN4">**</xref> </td>
              <td align="center" valign="middle">140 (71.1)</td>
              <td align="center" valign="middle">20 (87.0)</td>
              <td align="center" valign="middle">24 (60.0)</td>
              <td align="center" valign="middle">12 (80.0)</td>
              <td align="center" valign="middle">46 (88.5)</td>
              <td align="center" valign="middle">38 (56.4)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; 2 different formulations</td>
              <td align="center" valign="middle">21 (10.7)</td>
              <td align="center" valign="middle">7 (30.4)</td>
              <td align="center" valign="middle">1 (2.5)</td>
              <td align="center" valign="middle">5 (33.3)</td>
              <td align="center" valign="middle">5 (9.6)</td>
              <td align="center" valign="middle">3 (4.5)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Captopril and enalapril</td>
              <td align="center" valign="middle">134 (68.0)</td>
              <td align="center" valign="middle">20 (87.0)</td>
              <td align="center" valign="middle">22 (55.0)</td>
              <td align="center" valign="middle">12 (80.0)</td>
              <td align="center" valign="middle">45 (86.5)</td>
              <td align="center" valign="middle">35 (52.2)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Ramipril</td>
              <td align="center" valign="middle">1 (0.5)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">1 (1.5)</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="2" valign="middle">
                <bold>ARB</bold>
              </td>
              <td align="center" valign="middle">158 (80.2)</td>
              <td align="center" valign="middle">22 (95.7)</td>
              <td align="center" valign="middle">38 (95.0)</td>
              <td align="center" valign="middle">11 (73.3)</td>
              <td align="center" valign="middle">46 (88.5)</td>
              <td align="center" valign="middle">41 (61.2)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Losartan<xref ref-type="table-fn" rid="TFN4">**</xref> </td>
              <td align="center" valign="middle">157 (79.7)</td>
              <td align="center" valign="middle">22 (95.7)</td>
              <td align="center" valign="middle">38 (95.0)</td>
              <td align="center" valign="middle">10 (66.7)</td>
              <td align="center" valign="middle">46 (88.5)</td>
              <td align="center" valign="middle">41 (61.2)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; 2 different formulations</td>
              <td align="center" valign="middle">13 (6.6)</td>
              <td align="center" valign="middle">2 (8.7)</td>
              <td align="center" valign="middle">2 (5.0)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">8 (15.4)</td>
              <td align="center" valign="middle">1 (1.5)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Valsartan</td>
              <td align="center" valign="middle">1 (0.5)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">1 (6.7)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="2" valign="middle">
                <bold>Cardioselective beta-blockers</bold>
              </td>
              <td align="center" valign="middle">181 (91.9)</td>
              <td align="center" valign="middle">21 (91.3)</td>
              <td align="center" valign="middle">35 (87.5)</td>
              <td align="center" valign="middle">11 (73.3)</td>
              <td align="center" valign="middle">50 (96.2)</td>
              <td align="center" valign="middle">64 (95.5)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Metoprolol succinate<xref ref-type="table-fn" rid="TFN4">**</xref> </td>
              <td align="center" valign="middle">65 (33.0)</td>
              <td align="center" valign="middle">4 (17.4)</td>
              <td align="center" valign="middle">12 (30.0)</td>
              <td align="center" valign="middle">6 (40.0)</td>
              <td align="center" valign="middle">16 (30.8)</td>
              <td align="center" valign="middle">27 (40.3)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; 2 different formulations</td>
              <td align="center" valign="middle">29 (14.7)</td>
              <td align="center" valign="middle">2 (8.7)</td>
              <td align="center" valign="middle">9 (22.5)</td>
              <td align="center" valign="middle">5 (33.3)</td>
              <td align="center" valign="middle">5 (9,6)</td>
              <td align="center" valign="middle">8 (11.9)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Metoprolol tartrate</td>
              <td align="center" valign="middle">29 (14.7)</td>
              <td align="center" valign="middle">2 (8.7)</td>
              <td align="center" valign="middle">2 (5.0)</td>
              <td align="center" valign="middle">1 (6.7)</td>
              <td align="center" valign="middle">3 (5.8)</td>
              <td align="center" valign="middle">21 (31.3)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; 2 different formulations</td>
              <td align="center" valign="middle">1 (0.5)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">1 (1.9)</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Carvedilol</td>
              <td align="center" valign="middle">173 (87.8)</td>
              <td align="center" valign="middle">20 (87.0)</td>
              <td align="center" valign="middle">33 (82.5)</td>
              <td align="center" valign="middle">10 (66.7)</td>
              <td align="center" valign="middle">50 (96.2)</td>
              <td align="center" valign="middle">60 (89.6)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; 2 different formulations</td>
              <td align="center" valign="middle">147 (74.6)</td>
              <td align="center" valign="middle">15 (65.2)</td>
              <td align="center" valign="middle">27 (67.5)</td>
              <td align="center" valign="middle">10 (66.7)</td>
              <td align="center" valign="middle">48 (92.3)</td>
              <td align="center" valign="middle">47 (70.1)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Bisoprolol</td>
              <td align="center" valign="middle">2 (1.0)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">1 (2.5)</td>
              <td align="center" valign="middle">1 (6.7)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Nebivolol</td>
              <td align="center" valign="middle">1 (0.5)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">1 (6.7)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="2" valign="middle">
                <bold>MRA</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Spironolactone<xref ref-type="table-fn" rid="TFN4">**</xref> </td>
              <td align="center" valign="middle">169 (85.8)</td>
              <td align="center" valign="middle">19 (82.6)</td>
              <td align="center" valign="middle">33 (82.5)</td>
              <td align="center" valign="middle">10 (66.7)</td>
              <td align="center" valign="middle">51 (98.1)</td>
              <td align="center" valign="middle">56 (83.6)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; 2 different formulations</td>
              <td align="center" valign="middle">54 (27.4)</td>
              <td align="center" valign="middle">7 (30.4)</td>
              <td align="center" valign="middle">10 (25.0)</td>
              <td align="center" valign="middle">7 (46.7)</td>
              <td align="center" valign="middle">21 (40.4)</td>
              <td align="center" valign="middle">9 (13.4)</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="2" valign="middle">
                <bold>SGLT2i</bold>
              </td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Dapagliflozin<xref ref-type="table-fn" rid="TFN5">***</xref> </td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="2" valign="middle">
                <bold>Loop diuretics</bold>
              </td>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle"/>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Furosemide<xref ref-type="table-fn" rid="TFN4">**</xref> </td>
              <td align="center" valign="middle">178 (90.4)</td>
              <td align="center" valign="middle">21 (91.3)</td>
              <td align="center" valign="middle">39 (97.5)</td>
              <td align="center" valign="middle">14 (93.3)</td>
              <td align="center" valign="middle">51 (98.1)</td>
              <td align="center" valign="middle">53 (79.1)</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="2" valign="middle">
                <bold>Others</bold>
              </td>
              <td align="center" valign="middle">173 (87.8)</td>
              <td align="center" valign="middle">18 (78.3)</td>
              <td align="center" valign="middle">28 (70.0)</td>
              <td align="center" valign="middle">13 (86.7)</td>
              <td align="center" valign="middle">50 (96.2)</td>
              <td align="center" valign="middle">64 (95.5)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Hydralazine</td>
              <td align="center" valign="middle">56 (28.4)</td>
              <td align="center" valign="middle">8 (34.8)</td>
              <td align="center" valign="middle">8 (20.0)</td>
              <td align="center" valign="middle">2 (13.3)</td>
              <td align="center" valign="middle">28 (53.8)</td>
              <td align="center" valign="middle">10 (14.9)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; 2 different formulations</td>
              <td align="center" valign="middle">11 (5.6)</td>
              <td align="center" valign="middle">1 (4.3)</td>
              <td align="center" valign="middle">4 (10.0)</td>
              <td align="center" valign="middle">1 (6.7)</td>
              <td align="center" valign="middle">3 (5.8)</td>
              <td align="center" valign="middle">2 (3.0)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Isosorbide dinitrate</td>
              <td align="center" valign="middle">97 (49.2)</td>
              <td align="center" valign="middle">10 (43.5)</td>
              <td align="center" valign="middle">13 (32.5)</td>
              <td align="center" valign="middle">6 (40.0)</td>
              <td align="center" valign="middle">27 (51.9)</td>
              <td align="center" valign="middle">41 (61.2)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">&#8805; 2 different formulations</td>
              <td align="center" valign="middle">14 (7.1)</td>
              <td align="center" valign="middle">1 (4.3)</td>
              <td align="center" valign="middle">3 (7.5)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">5 (9.6)</td>
              <td align="center" valign="middle">5 (7.5)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Hydralazine + isosorbide dinitrate</td>
              <td align="center" valign="middle">38 (19.3)</td>
              <td align="center" valign="middle">6 (26.1)</td>
              <td align="center" valign="middle">5 (12.5)</td>
              <td align="center" valign="middle">2 (13.3)</td>
              <td align="center" valign="middle">17 (32.7)</td>
              <td align="center" valign="middle">8 (11.9)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Digoxin</td>
              <td align="center" valign="middle">171 (86.8)</td>
              <td align="center" valign="middle">17 (73.9)</td>
              <td align="center" valign="middle">28 (70.0)</td>
              <td align="center" valign="middle">13 (86.7)</td>
              <td align="center" valign="middle">49 (94.2)</td>
              <td align="center" valign="middle">64 (95.5)</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Ivabradine</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN2">
            <p>ACEI: angiotensin-converting enzyme inhibitors; ARB: angiotensin II receptor blockers; ARNI: neprilysin and angiotensin receptor inhibitors; MRA: mineralocorticoid receptor antagonists; SGLT2i: sodium-glucose cotransporter 2 inhibitors.</p>
          </fn>
          <fn id="TFN3">
            <label>*</label>
            <p>Sacubitril/valsartan, available through the Specialized Pharmaceutical Assistance Component (for patients with New York Heart Association class II and BNP &gt; 150 (or NT-proBNP &gt; 600), with a reduced ejection fraction of 35% or less, aged 75 or younger, and refractory to the best available treatment within the Unified Health System).</p>
          </fn>
          <fn id="TFN4">
            <label>**</label>
            <p>Medications available through the Popular Pharmacy Program.</p>
          </fn>
          <fn id="TFN5">
            <label>***</label>
            <p>Medication available through the Popular Pharmacy Program (for patients over 65 years old, with a diagnosis of type 2 diabetes and cardiovascular disease) and through the Specialized Pharmaceutical Assistance Component (ICD-10: non-insulin-dependent diabetes mellitus [E11.2 to E11.9], aged 65 or older, with inadequate glycemic control despite optimized treatment, and established cardiovascular disease [previous acute myocardial infarction, previous coronary artery bypass graft surgery, prior coronary angioplasty, stable or unstable angina, previous ischemic stroke, previous transient ischemic attack, and heart failure with an ejection fraction below 40%]).</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>The overall analysis showed that no list included all four pharmacological pillars simultaneously recommended by the Brazilian guidelines. The first pillar was present in 93.4% of lists, limited to ACEI and/or ARB classes (although sacubitril-valsartan is the evidence class IA alternative in this pillar). The second and third pillars (cardioselective beta-blockers and MRAs) were present in 91.9% and 85.8% of lists, respectively. The fourth pillar, more recently included in HF pharmacological guidelines, comprising SGLT2i (dapagliflozin and empagliflozin), was absent from all analyzed lists. Coverage of the first three pillars was observed in all municipalities only when considering medication availability via CEAF and PPP; full four-pillar coverage was not achieved in any scenario.</p>
      <p><xref ref-type="table" rid="t3">Table 3</xref> shows the distribution of HF drug access according to the region of the country and the size of the municipalities. The Central Illustration summarizes access to quadruple therapy for HF across the country.</p>
      <table-wrap id="t3">
        <label>Table 3</label>
        <caption>
          <title>Four pillars for heart failure treatment by municipality size.</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup width="17%">
            <col width="1%"/>
            <col/>
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#76B4CF;">
              <th align="left" colspan="2" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle"/>
              <th align="center" colspan="4" style="border-bottom: thin solid; border-top: thin solid; border-color: #000000" valign="middle">Considering only REMUMEs<break/> n (%)</th>
            </tr>
            <tr style="background-color:#76B4CF;">
              <th align="left" colspan="2" valign="middle"/>
              <th align="center" valign="middle">1 pillar</th>
              <th align="center" valign="middle">2 pillars</th>
              <th align="center" valign="middle">3 pillars</th>
              <th align="center" valign="middle">4 pillars</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Brazil</bold>
              </td>
              <td align="center" valign="middle">13 (6.6)</td>
              <td align="center" valign="middle">31 (15.7)</td>
              <td align="center" valign="middle">153 (77.7)</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Small size</td>
              <td align="center" valign="middle">7 (3.6)</td>
              <td align="center" valign="middle">11 (5.6)</td>
              <td align="center" valign="middle">33 (16.8)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Medium size</td>
              <td align="center" valign="middle">3 (1.5)</td>
              <td align="center" valign="middle">14 (7.1)</td>
              <td align="center" valign="middle">42 (21.3)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Large size</td>
              <td align="center" valign="middle">3 (1.5)</td>
              <td align="center" valign="middle">6 (3.0)</td>
              <td align="center" valign="middle">78 (39.6)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="2" valign="middle">
                <bold>North</bold>
              </td>
              <td align="center" valign="middle">1 (4.3)</td>
              <td align="center" valign="middle">4 (17.4)</td>
              <td align="center" valign="middle">18 (78.3)</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Small size</td>
              <td align="center" valign="middle">1 (4.3)</td>
              <td align="center" valign="middle">3 (13.0)</td>
              <td align="center" valign="middle">10 (43.5)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Medium size</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">1 (4.3)</td>
              <td align="center" valign="middle">1 (4.3)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Large size</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">7 (30.4)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Northeast</bold>
              </td>
              <td align="center" valign="middle">3 (7.5)</td>
              <td align="center" valign="middle">6 (15.0)</td>
              <td align="center" valign="middle">31 (77.5)</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Small size</td>
              <td align="center" valign="middle">3 (7.5)</td>
              <td align="center" valign="middle">3 (7.5)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Medium size</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">1 (2.5)</td>
              <td align="center" valign="middle">13 (32.5)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Large size</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">2 (5.0)</td>
              <td align="center" valign="middle">18 (45.0)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="2" valign="middle">
                <bold>Central-West</bold>
              </td>
              <td align="center" valign="middle">3 (20.0)</td>
              <td align="center" valign="middle">3 (20.0)</td>
              <td align="center" valign="middle">9 (60.0)</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Small size</td>
              <td align="center" valign="middle">2 (13.3)</td>
              <td align="center" valign="middle">3 (20.0)</td>
              <td align="center" valign="middle">3 (20.0)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Medium size</td>
              <td align="center" valign="middle">1 (6.7)</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">2 (13.3)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Large size</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">4 (26.7)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="left" colspan="2" valign="middle">
                <bold>Southeast</bold>
              </td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">3 (5.8)</td>
              <td align="center" valign="middle">49 (94.2)</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Small size</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">2 (3.8)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Medium size</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">2 (3.8)</td>
              <td align="center" valign="middle">13 (25.0)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Large size</td>
              <td align="center" valign="middle">0</td>
              <td align="center" valign="middle">1 (1.9)</td>
              <td align="center" valign="middle">34 (65.4)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" colspan="2" valign="middle">
                <bold>South</bold>
              </td>
              <td align="center" valign="middle">6 (9.0)</td>
              <td align="center" valign="middle">15 (22.4)</td>
              <td align="center" valign="middle">46 (68.7)</td>
              <td align="center" valign="middle">0</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Small size</td>
              <td align="center" valign="middle">1 (1.5)</td>
              <td align="center" valign="middle">2 (3.0)</td>
              <td align="center" valign="middle">19 (28.4)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Medium size</td>
              <td align="center" valign="middle">2 (3.0)</td>
              <td align="center" valign="middle">10 (14.9)</td>
              <td align="center" valign="middle">13 (19.4)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr style="background-color:#C7DFEC;">
              <td align="left" valign="middle"/>
              <td align="left" valign="middle">Large size</td>
              <td align="center" valign="middle">3 (4.5)</td>
              <td align="center" valign="middle">3 (4.5)</td>
              <td align="center" valign="middle">15 (22.4)</td>
              <td align="center" valign="middle">-</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN6">
            <p>REMUME: Municipal List of Essential Medicines. Small size: up to 25,000 inhabitants; medium size: from 25,000 to 100,000 inhabitants; large size: more than 100,000 inhabitants.<sup>14</sup></p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>This is the first nationwide study on the availability of pharmacological therapy for HF treatment in Primary Health Care Services through SUS in REMUMEs across the country.</p>
      <p>The concept of an essential medicine is defined by the World Health Organization as one of the highest importance, fundamental, and indispensable to the health needs of a population, and it should be permanently available. The decision to incorporate medications into a REMUME, when guided by the Pharmacy and Therapeutics Committee, ensures that the lists align with the population's needs, the national guidelines, and the resources available. This process follows a rigorous methodology based on scientific evidence, safety, efficacy, and cost-effectiveness of the treatment.<sup><xref ref-type="bibr" rid="B9">9</xref>,<xref ref-type="bibr" rid="B16">16</xref>&#8211;<xref ref-type="bibr" rid="B18">18</xref></sup></p>
      <p>Without drug therapy, the natural course of HF leads to a 35% mortality rate within 2 years in cases of HFrEF.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> The benefit has been demonstrated in clinical trials; however, medication use remains suboptimal, with a low percentage of patients reaching target doses or using the recommended drugs contemporaneously.<sup><xref ref-type="bibr" rid="B2">2</xref>,<xref ref-type="bibr" rid="B19">19</xref></sup> This gap may negatively impact patient outcomes, especially in regions with limited access to alternative supply modalities.</p>
      <p>Many HFrEF treatment guidelines recommend concomitant use of a fundamental quadruple therapy: a combination of angiotensin receptor blocker/neprilysin inhibitor (or an ACEI, or an ARB), cardioselective beta-blocker, MRA, and SGLT2i.<sup><xref ref-type="bibr" rid="B2">2</xref>,<xref ref-type="bibr" rid="B8">8</xref></sup> This combined therapy can extend life expectancy by up to 6 years compared to conventional therapy (beta-blocker plus ACEI or ARB).<sup><xref ref-type="bibr" rid="B20">20</xref></sup> Although the newest pharmacological agents (notably sacubitril-valsartan, dapagliflozin, and empagliflozin) have been tested individually in randomized controlled trials, Vaduganathan et al.<sup><xref ref-type="bibr" rid="B20">20</xref></sup> estimated their additive value when combined for HFrEF. Their study demonstrated that the use of outcome-modifying drugs (sacubitril-valsartan, beta-blockers, MRAs, and SGLT2i) has been shown to reduce the risk of cardiovascular death, HF-related mortality, and hospitalizations, thereby demonstrating their clinical efficacy. The results of this study further emphasize the importance of employing quadruple therapy, which incorporates neurohormonal modulation beyond conventional treatment and advances towards greater survival benefits when all four pillars are utilized.</p>
      <p>Agarwal et al.<sup><xref ref-type="bibr" rid="B6">6</xref></sup> demonstrated that less than half of the essential medicines lists of low- and middle-income countries included all four pharmacological classes for the treatment of HF.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> In this study, no REMUME simultaneously included all four recommended treatment pillars. In 22.3% of the lists, two or fewer therapeutic classes were identified. Most municipalities had only three of these pillars, mostly in large municipalities and mostly in the Southeast Region. In another 15.7% of municipalities, the municipal list included only two of the essential treatment pillars, mostly in medium-sized municipalities. In 13 cases (6.6%), the municipal list contained only one of these treatment pillars, mostly in small municipalities, indicating remarkable significant differences in medication availability and subsequent patient access nationwide.</p>
      <p>The first of the four pillars refers to medications that act on the renin-angiotensin system. The proven superior therapeutic class in this first pillar is the co-crystal sacubitril-valsartan, which was not identified in any list in our study. Access to this medication through the SUS is exclusively through the CEAF and according to specific selection criteria.<sup><xref ref-type="bibr" rid="B21">21</xref>,<xref ref-type="bibr" rid="B22">22</xref></sup> This context likely explains the result found.</p>
      <p>If sacubitril-valsartan is not available (or if a patient is intolerant to the drug), the other therapeutic alternatives that comprise this first pillar of treatment (ACEI, ARB, and/or nitrate/hydralazine) were available in the basic health care network in 93.4% of municipalities. Vasodilation is essential for the management of patients with HF, as it reduces preload, improves organ and tissue perfusion, and alleviates symptoms. In cases where access was not available via primary care, its availability was restricted to PPP and CEAF.<sup><xref ref-type="bibr" rid="B22">22</xref></sup> Restricted access implies delayed patient progression; only the insertion of ACEI in HF therapy can reduce mortality rates by 25% within 2 years and hospitalizations by 21%.<sup><xref ref-type="bibr" rid="B17">17</xref></sup> Our results show the presence of ACEI in 92.4% (n = 182) of REMUMEs throughout the study, and in all municipalities in the North and Southeast Regions. Captopril and enalapril were even found in two or more presentations on the municipal list, especially in the Central-West Region, questioning the burden of purchasing logistics and distribution of medications in the preparation of REMUMEs.<sup><xref ref-type="bibr" rid="B21">21</xref></sup></p>
      <p>Losartan, an ARB used as an alternative to ACEI, was present in 79.7% of municipalities. Notably, in 13 municipalities (6.6%) of the study, no ACEI or ARBs were present. This condition limits patient access to therapy with proven benefit in HF.<sup><xref ref-type="bibr" rid="B21">21</xref></sup></p>
      <p>The combination of hydralazine and isosorbide dinitrate, an effective option for vasodilation in Black patients and/or those who cannot tolerate the use of ARNI, ACEI, or ARBs, was found in 38 municipalities (19.3%). In 27 of these (71.1%), the isosorbide dinitrate formulation is the 5 mg tablet for sublingual administration and is therefore incorporated into the REMUME for the treatment of angina, rather than HF.<sup><xref ref-type="bibr" rid="B7">7</xref></sup></p>
      <p>Beta-blockers were present in 99% of the lists. As a second pillar of HF treatment, they contribute up to 41% of the reduction in the relative risk of hospitalizations and a 16% reduction in the mortality rate, even as a monotherapy, by protecting myocardial remodeling and potentially recovering ejection fraction.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> However, atenolol and propranolol were the beta-blockers most frequently found in the study, and they do not represent a therapeutic choice for HF, despite their wide availability in the SUS.<sup><xref ref-type="bibr" rid="B23">23</xref></sup> The beta-blockers of choice are those with central myocardial activity, and the cardioselective beta-blockers with proven action in HF are carvedilol, metoprolol (succinate and tartrate), bisoprolol, and nebivolol.<sup><xref ref-type="bibr" rid="B7">7</xref></sup> These were found in 91.9% of the REMUMEs surveyed. Published studies use metoprolol succinate for the treatment of HF, but the use of tartrate emerges as an alternative due to its widespread availability in the SUS, thus requiring adaptation when introducing it into therapy.<sup><xref ref-type="bibr" rid="B23">23</xref></sup> However, even with the adaptation of dosage and pharmaceutical formulation, approximately one tenth of municipalities still do not have beta-blockers for the treatment of HF on their lists. This finding highlights the limited accessibility of a cornerstone pharmacological agent. Cardioselective beta-blockers are crucial not only for HF management but also for other cardiovascular diseases, including post-myocardial infarction and ischemic events, with significant potential implications for clinical outcomes in the Brazilian population.</p>
      <p>The use of MRAs (spironolactone, eplerenone) as a third pillar is essential. In clinical studies, patients with HFrEF using this drug class had their mortality reduced to 16% over 2 years. Spironolactone was found in only 85.8% (169) of lists and was the only MRA presented in REMUMEs. Eplerenone was not found, probably because of its recent registration at the National Health Surveillance Agency (2022), and it has not been incorporated into the SUS.<sup><xref ref-type="bibr" rid="B24">24</xref></sup></p>
      <p>Finally, SGLT2i (dapagliflozin and empagliflozin) constitute the fourth pillar of treatment for patients with HF.<sup><xref ref-type="bibr" rid="B17">17</xref></sup> They represent the most recent benefit for patients with HF, with a 31% reduction in the relative risk of hospitalizations and a 10% reduction in the mortality rate. Their benefits have already been proven in patients with HF, regardless of whether they have diabetes mellitus type 2 (DM2). In Brazil, this therapeutic option was only approved in the second half of 2024. Therefore, dapagliflozin and empagliflozin were not found in the lists analyzed. At the time of this writing, the PCDT for HF<sup><xref ref-type="bibr" rid="B22">22</xref></sup> had not yet included SGLT2i as a therapeutic alternative. Access to dapagliflozin via the SUS is exclusively through the CEAF, according to the requirements established by the PCDT for DM2, and not for HF.<sup><xref ref-type="bibr" rid="B23">23</xref></sup></p>
      <p>The HF protocol treatment by SUS<sup><xref ref-type="bibr" rid="B22">22</xref></sup> has not yet included SGLT2i as a therapeutic alternative. Its use represents the most recent benefit for patients with HF, with a relative risk reduction of 31% in hospitalizations and a decrease of 10% in the mortality rate. Its benefits have already been proven in patients with HF, regardless of DM2 status. In Brazil, this therapeutic option was only approved in the second semester of 2024.</p>
      <p>Although dapagliflozin is included in the PPP, even in this alternative to access, this does not extend to all patients with HF; it is available exclusively to patients with concomitant cardiovascular disease and DM2 aged over 65 years, and subject to copayment.<sup><xref ref-type="bibr" rid="B25">25</xref>,<xref ref-type="bibr" rid="B26">26</xref></sup> According to the Chamber for Regulation of the Medicine Market, the maximum consumer price for dapagliflozin in Brazil ranges from 120 to 160 BRL (2024 values),<sup><xref ref-type="bibr" rid="B27">27</xref></sup> which imposes financial and social barriers to access.</p>
      <p>In the present study, findings on furosemide are also crucial. Although the loop diuretic is not part of quadruple therapy in HFrEF, it is the cornerstone for congestion management, in both inpatient and outpatient settings. Furosemide remains essential to avoid admissions due to decompensation, the leading cause of HF hospitalizations. It is the only loop diuretic available within the Brazilian health system and was not found in almost a tenth of the sample (9.64% of the cities). The omission of furosemide from municipal lists restricts patient access to the PPP or payment purchases. Given Brazil's vast territory and the voluntary registration of commercial pharmacies in the program, the PPP is not always a feasible option, especially for many patients in remote areas, due to geographic and logistical constraints.</p>
      <p>It is important to emphasize that while quadruple therapy has strong evidence supporting its use in HFrEF, other HF phenotypes&#8212;such as heart failure with preserved ejection fraction (HFpEF) or mildly reduced ejection fraction&#8212;have distinct therapeutic recommendations (for example, dapagliflozin for HFpEF). Nonetheless, pharmacological treatment across the HF spectrum frequently involves agents included in quadruple therapy, further underscoring the necessity of ensuring access to these medications through the SUS.</p>
      <sec>
        <title>Study limitations</title>
        <p>The unavailability of REMUMEs on the official websites of municipal governments or health departments constitutes a limitation of this study. However, it also represents a significant finding, reflecting the difficulty of accessing these lists even by prescribing physicians. Federal Law No. 14,654 of 2023 mandates the online publication not only of medication lists but also of the stock levels of medicines in pharmacies that are part of SUS.<sup><xref ref-type="bibr" rid="B28">28</xref></sup></p>
        <p>Furthermore, analyses were performed solely on official medication lists, not on the actual physical stock available in each municipality. Therefore, this research aimed to analyze the selection of medications on these lists, rather than actual patient access.</p>
      </sec>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusion</title>
      <p>The municipal lists analyzed showed significant variability among medications provided and revealed a complex and challenging landscape to the availability of essential HF drugs in Brazilian municipalities. The regional disparities highlight deficiencies in the implementation of guaranteed access to medications for the population, emphasizing that only three pillars of HF pharmacological treatment were available when considering the addition of CEAF and PPP.</p>
      <p>In light of the challenges encountered, it is crucial to implement effective strategies to improve the availability of these essential medicines: ensuring patients&#8217; quality of life, reducing readmissions and healthcare costs, and finally reaching better HF outcomes in Brazil, ensure patients&#8217; quality of life, and reduce healthcare costs related to readmissions of those affected by cardiovascular diseases.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="financial-disclosure" id="fn1">
        <label>Sources of Funding</label>
        <p>There were no external funding sources for this study.</p>
      </fn>
      <fn fn-type="other" id="fn2">
        <label>Study association</label>
        <p>This study is linked to the undergraduate thesis in Bachelor of Pharmacy degree at the Federal University of Rio Grande do Sul (UFRGS) and to the Drug Utilization Study Design course from the Postgraduate Program in Pharmaceutical Services and Policies at UFRGS.</p>
      </fn>
      <fn fn-type="other" id="fn3">
        <label>Ethics approval and consent to participate</label>
        <p>This article does not contain any studies with human participants or animals performed by any of the authors.</p>
      </fn>
      <fn fn-type="other" id="fn4">
        <label>Use of Artificial Intelligence</label>
        <p>The authors did not use any artificial intelligence tools in the development of this work.</p>
      </fn>
    </fn-group>
    <sec sec-type="data-availability" specific-use="data-available-upon-request">
      <title>Availability of Research Data</title>
      <p>All datasets supporting the results of this study are available upon request from the corresponding author: Lidia Einsfeld.</p>
    </sec>
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