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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">bwy3mSGsJqbJq7vnhbhMTFG</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S2359-56472026000100603</article-id>
      <article-id pub-id-type="doi">10.36660/ijcs.20250124</article-id>
      <article-id pub-id-type="other">00603</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Endocarditis &#8211; A 27-Year Epidemiological Analysis of Mortality in Brazil</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0009-0009-4200-9760</contrib-id>
          <name>
            <surname>Silva</surname>
            <given-names>Leticia da Costa Santana</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>Writing of the manuscript</role>
          <role>Critical revision of the manuscript for content</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0009-0008-8476-2999</contrib-id>
          <name>
            <surname>Castanheira</surname>
            <given-names>Luana Yasmim Fern&#225;ndez Avelaneda</given-names>
          </name>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Writing of the manuscript</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0009-0002-0375-4265</contrib-id>
          <name>
            <surname>Salim</surname>
            <given-names>Maria Dalila Santos</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>Writing of the manuscript</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0009-0000-5984-5719</contrib-id>
          <name>
            <surname>Viegas</surname>
            <given-names>Ruy Felipe Melo</given-names>
          </name>
          <role>Conception and design of the research</role>
          <role>Analysis and interpretation of the data</role>
          <role>Critical revision of the manuscript for content</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-9388-8111</contrib-id>
          <name>
            <surname>Ruivo</surname>
            <given-names>Gilson Fernandes</given-names>
          </name>
          <role>Critical revision of the manuscript for content</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-0809-6935</contrib-id>
          <name>
            <surname>Cortelli</surname>
            <given-names>Sheila Cavalca</given-names>
          </name>
          <role>Critical revision of the manuscript for content</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-6653-4748</contrib-id>
          <name>
            <surname>Aquino</surname>
            <given-names>Davi Romeiro</given-names>
          </name>
          <role>Acquisition of data</role>
          <role>Analysis and interpretation of the data</role>
          <role>Critical revision of the manuscript for content</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0009-0008-3534-8249</contrib-id>
          <name>
            <surname>Vi&#233;gas</surname>
            <given-names>Taciana Mara Rezende Fortes</given-names>
          </name>
          <role>Critical revision of the manuscript for content</role>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Universidade de Taubat&#233;</institution>
          <addr-line>
            <named-content content-type="city">Taubat&#233;</named-content>
            <named-content content-type="state">SP</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Universidade de Taubat&#233;, Taubat&#233;, SP &#8211; Brazil</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><label>Mailing Address:</label><bold>Leticia da Costa Santana Silva</bold> &#8226; Universidade de Taubat&#233; - Avenida Tiradentes, 500. Postal Code <postal-code>12030-180</postal-code>, Bom Conselho, Taubat&#233;, SP - Brazil E-mail: <email>leticiadacostasantana@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>Gl&#225;ucia Maria Moraes de Oliveira</p>
        </fn>
      </author-notes>
      <pub-date publication-format="electronic" date-type="pub">
        <day>02</day>
        <month>03</month>
        <year>2026</year>
      </pub-date>
      <pub-date publication-format="electronic" date-type="collection">
        <year>2026</year>
      </pub-date>
      <volume>39</volume>
      <elocation-id>e20250124</elocation-id>
      <history>
        <date date-type="received">
          <day>23</day>
          <month>07</month>
          <year>2025</year>
        </date>
        <date date-type="rev-recd">
          <day>25</day>
          <month>08</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>08</day>
          <month>09</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License.</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background:</title>
          <p>Infective endocarditis (IE) is frequently caused by viridans streptococci. Short-term in-hospital mortality in high-income settings ranges from 11% to 25%. In Brazil, rheumatic heart disease remains a leading valvular substrate; however, its declining prevalence in developing nations has limited country-specific analyses.</p>
        </sec>
        <sec>
          <title>Objective:</title>
          <p>To describe the epidemiological profile of mortality from IE in Brazil, characterizing its magnitude and temporal trend.</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>We conducted a retrospective, exploratory epidemiological study with descriptive and analytic components using data from the Mortality Information System of the Department of Informatics of Brazil's Unified Health System. Chi-square tests of independence were applied (p &lt; 0.05), and results were summarized in tables and figures. Variables included International Statistical Classification of Diseases and Related Health Problems, 10th Revision categories, year of death, region, and sex.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>From 1996 to 2022, 40,157 deaths associated with IE were recorded in Brazil (chi-square = 1,701.43). The Southeast region accounted for the greatest burden, with 21,429 deaths (53.36%; chi-square = 15,236.00). By sex (chi-square = 999.32), men were more affected than women (55.57% [22,315] vs 44.41% [17,835]); in 0.02% of records, sex was unspecified.</p>
        </sec>
        <sec>
          <title>Conclusions:</title>
          <p>IE remains a condition of national and international concern, with substantial mortality in Brazil over the last 27 years. This overview of mortality patterns highlights regional disparities and sex differences and can inform public-health strategies and evidence-based interventions.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Endocarditis</kwd>
        <kwd>Mortality</kwd>
        <kwd>Epidemiology</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="17"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introduction</title>
      <p>Infective endocarditis (IE) is most commonly caused by viridans streptococci.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> Risk factors include valvular heart disease, prosthetic valves, grafts or intracardiac devices, congenital heart disease, and prior IE.<sup><xref ref-type="bibr" rid="B2">2</xref>,<xref ref-type="bibr" rid="B3">3</xref></sup></p>
      <p>Mortality estimates vary due to differences in diagnostic criteria. Over the past two decades, population-based studies in high-income countries have reported 30-day (in-hospital) mortality of 11%-25%.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> In the United States, morbidity and mortality occur in 16%-30% of cases involving prosthetic-valve and in 25%-35% of cases involving native valves treated in hospital settings.<sup><xref ref-type="bibr" rid="B4">4</xref></sup> Globally, up to 77% of IE cases are estimated to occur in developing countries, although this figure may be affected by reporting practices and access to care. In Brazil, rheumatic heart disease remains a predominant valvular substrate; however, the disease's declining prevalence in developing nations has limited country-specific analyses.<sup><xref ref-type="bibr" rid="B5">5</xref></sup></p>
      <p>Clinically, IE may present acutely, evolve subacutely (often on pre-existing valvular lesions), or follow an indolent course over weeks to months.<sup><xref ref-type="bibr" rid="B6">6</xref>,<xref ref-type="bibr" rid="B7">7</xref></sup> Cardiac conditions that produce turbulent flow (eg, mitral valve prolapse, hypertrophic cardiomyopathy, and cyanotic congenital heart disease) increase the risk of IE by promoting mechanical injury that leads to subsequent valvular degeneration and calcification.<sup><xref ref-type="bibr" rid="B8">8</xref>,<xref ref-type="bibr" rid="B9">9</xref></sup></p>
      <p>Because of its global and national significance, this study outlines the epidemiological profile of IE mortality in Brazil over the past 27 years. It characterizes the distribution of IE and its associated risk factors in order to inform public policies and guide future strategies.</p>
    </sec>
    <sec sec-type="methods">
      <title>Method</title>
      <sec>
        <title>Study design and data source</title>
        <p>We conducted a retrospective, exploratory, epidemiological study with descriptive and analytical components. We used data from the Mortality Information System (SIM), which is available through the Brazil's Unified Health System's Department of Informatics of (DATASUS). According to the December 2024 system update, finalized data are available through 2023. Records for endocarditis from 1996 to 2023 were retrieved via DATASUS/TabNet and exported to Microsoft Excel for tabulation and calculations.</p>
        <fig id="f1">
          <caption>
            <title>Distribution of annual deaths from acute and subacute endocarditis and unspecified valve endocarditis in Brazil, 1996-2023. Statistical test: chi-square test of independence (p &lt; 0.05). Source: Mortality Information System.</title>
          </caption>
          <graphic xlink:href="2359-5647-ijcs-39-e20250124-50124-gf01.tif"/></fig>
      </sec>
      <sec>
        <title>Case definition</title>
        <p>Endocarditis deaths were identified using the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) codes I33 (Acute and subacute endocarditis) and I38 (Endocarditis, valve unspecified). However, the SIM/DATASUS interface only provides aggregated selections for these codes. Other potentially relevant codes, such as I33.9 (Acute and subacute endocarditis, unspecified) or B37.6 (Candidal endocarditis), are not selectable independently and therefore could not be included. ICD-10 code I39 (Endocarditis and heart valve disorders in diseases classified elsewhere) was selected during data retrieval; however, no records were available for any year in the study period.</p>
        <sec>
          <title>Variables</title>
          <p>Analyzed variables included the ICD-10 category, year of death, sex, and Brazilian macro-region.</p>
        </sec>
        <sec>
          <title>Exclusions</title>
          <p>The following variables were excluded: region/federal unit, race/ethnicity, ICD-10 chapter, ICD-10 group, cause of death, ill-defined cause of death, federal unit, age group, education level, place of occurrence, year/month of death, month of death, age group as standardized by the Pan American Health Organization, specific age group, age group under 1 year, and civil status.</p>
        </sec>
      </sec>
      <sec>
        <title>Statistical analysis</title>
        <p>All analyses were performed in Python 3.11 using SciPy 1.11.9. Chi-square tests of independence were applied with a two-sided significance threshold of p &lt; 0.05.</p>
        <sec>
          <title>Ethics</title>
          <p>Data were collected on September 9, 2024. Since all information was obtained from a public, de-identified database, an institutional ethics review was not required. The authors declare no conflicts of interest.</p>
        </sec>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>Using SIM data from 1996 to 2023, chi-square tests of independence showed significant differences across years (p &lt; 0.05). As detailed in <xref ref-type="table" rid="t1">Table 1</xref> and Central Illustration, the annual count peaked in 2023 at 2,279 deaths (5.68% of the total) and was lowest in 1996 at 689 deaths (1.72%). Deaths were classified by region and ICD-10 category &#8212; I33 and I38. A total of 40,157 deaths were recorded (chi-square = 1,701.43), which represents a 230.77% increase over the study period.</p>
      <table-wrap id="t1">
        <label>Table 1</label>
        <caption>
          <title>Annual deaths from acute and subacute endocarditis and unspecified valve endocarditis in Brazil, 1996-2023</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup width="50%">
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#8BC1E2;">
              <th align="left" valign="middle">Year of death</th>
              <th align="center" valign="middle">Total deaths</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">1996</td>
              <td align="center" valign="middle">689</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">1997</td>
              <td align="center" valign="middle">745</td>
            </tr>
            <tr>
              <td align="left" valign="middle">1998</td>
              <td align="center" valign="middle">789</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">1999</td>
              <td align="center" valign="middle">942</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2000</td>
              <td align="center" valign="middle">906</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2001</td>
              <td align="center" valign="middle">1,008</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2002</td>
              <td align="center" valign="middle">1,023</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2003</td>
              <td align="center" valign="middle">1,060</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2004</td>
              <td align="center" valign="middle">1,049</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2005</td>
              <td align="center" valign="middle">1,116</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2006</td>
              <td align="center" valign="middle">1,320</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2007</td>
              <td align="center" valign="middle">1,395</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2008</td>
              <td align="center" valign="middle">1,372</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2009</td>
              <td align="center" valign="middle">1,342</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2010</td>
              <td align="center" valign="middle">1,527</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2011</td>
              <td align="center" valign="middle">1,648</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2012</td>
              <td align="center" valign="middle">1,676</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2013</td>
              <td align="center" valign="middle">1,662</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2014</td>
              <td align="center" valign="middle">1,757</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2015</td>
              <td align="center" valign="middle">1,752</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2016</td>
              <td align="center" valign="middle">1,837</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2017</td>
              <td align="center" valign="middle">1,818</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2018</td>
              <td align="center" valign="middle">1,823</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2019</td>
              <td align="center" valign="middle">1,891</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2020</td>
              <td align="center" valign="middle">1,722</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2021</td>
              <td align="center" valign="middle">1,875</td>
            </tr>
            <tr>
              <td align="left" valign="middle">2022</td>
              <td align="center" valign="middle">2,134</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">2023</td>
              <td align="center" valign="middle">2,279</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Total</td>
              <td align="center" valign="middle">40,157</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN1">
            <p>Statistical test: chi-square test of independence (p &lt; 0.05). Source: Mortality Information System.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>Based on SIM data from 1996 2023, chi-square tests of independence showed statistically significant differences in region and sex (p &lt; 0.001). The Southeast region had the highest number of deaths, with 21,429 deaths (53.36%; chi-square = 15,236.00), followed by the Northeast (7,432; 18.51%), the South (6,771; 16.86%), the Central-West (2,939; 7.32%), and the North (1,586; 3.95%) (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
      <table-wrap id="t2">
        <label>Table 2</label>
        <caption>
          <title>Deaths from acute and subacute endocarditis and unspecified valve endocarditis by region, Brazil, 1996-2023</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup width="50%">
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#8BC1E2;">
              <th align="left" valign="middle">Region of Brazil</th>
              <th align="center" valign="middle">Total deaths</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">North</td>
              <td align="center" valign="middle">1,586</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">Northeast</td>
              <td align="center" valign="middle">7,432</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Southeast</td>
              <td align="center" valign="middle">21,429<xref ref-type="table-fn" rid="TFN2">*</xref></td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">South</td>
              <td align="center" valign="middle">6,771</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Central-West</td>
              <td align="center" valign="middle">2,939</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">Total</td>
              <td align="center" valign="middle">40,157</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN2">
            <label>*</label>
            <p>Statistical test: chi-square test of independence (p &lt; 0.001). Source: Mortality Information System.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>By sex, males predominated (chi-square = 999.32; p &lt; 0.001), comprising 22,315 deaths (55.57%), while females accounted for 17,835 (44.41%) deaths. Sex was unspecified in seven records (0.02%) (<xref ref-type="table" rid="t3">Table 3</xref>).</p>
      <table-wrap id="t3">
        <label>Table 3</label>
        <caption>
          <title>Deaths from acute and subacute endocarditis and unspecified valve endocarditis by sex, Brazil, 1996-2023</title>
        </caption>
        <table frame="hsides" rules="groups">
          <colgroup width="50%">
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#8BC1E2;">
              <th align="left" valign="middle">Sex</th>
              <th align="center" valign="middle">Total deaths</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">Male</td>
              <td align="center" valign="middle">22,315<xref ref-type="table-fn" rid="TFN3">*</xref></td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">Female</td>
              <td align="center" valign="middle">17,835</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Unknown</td>
              <td align="center" valign="middle">7</td>
            </tr>
            <tr style="background-color:#D2E6F5;">
              <td align="left" valign="middle">Total</td>
              <td align="center" valign="middle">40,157</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN3">
            <label>*</label>
            <p>Statistical test: chi-square test of independence (p &lt; 0.001). Source: Mortality Information System.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>This study reveals a consistent rise in deaths due to acute and subacute endocarditis in Brazil between 1996 and 2023, amounting to 40,157 fatalities. There were 698 deaths in 1996, rising to 2,279 in 2023 &#8212; a 230.77% increase. This progressive increase may be due to population aging, the increased use of implantable cardiac devices, and the spread of resistant pathogens.<sup><xref ref-type="bibr" rid="B10">10</xref></sup> Improvements in reporting and diagnostic sensitivity, particularly with echocardiography, may also contribute.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
      <p>Although this dataset could not identify individual cases of co-infection with COVID-19, the pandemic years (2020-2022) showed a statistically significant increase in IE mortality. Causality cannot be established; however, the available evidence suggests that the pandemic may have indirectly influenced IE outcomes. International reports describe uncommon cases of coinfection with both COVID-19 and IE, predominantly in middle-aged men, with frequent aortic valve involvement and complications such as pulmonary edema and embolic events.<sup><xref ref-type="bibr" rid="B12">12</xref></sup> Respiratory manifestations of COVID-19 can mask or delay IE diagnosis, potentially worsening outcomes. Additional factors, such as diagnostic delays, health system strain, and secondary infections (particularly those caused by <italic>Staphylococcus aureus</italic>), may also have contributed.<sup><xref ref-type="bibr" rid="B13">13</xref></sup> These observations underscore the need for ongoing surveillance, timely reporting, and high clinical suspicion for IE during overlapping infectious outbreaks to mitigate adverse outcomes in high-risk groups.</p>
      <p>Geographically, the Southeast accounted for the largest proportion of deaths (53.36%; 21,429), followed by the Northeast (18.51%; 7,432), the South (16.86%; 6,771), the Central-West (7.32%; 2,939), and the North (3.95%; 1,586). This concentration likely reflects population size and greater diagnostic and reporting capacity. Brazil has 598,573 physicians, 182,852 of whom (30.5%) are in the Southeast.<sup><xref ref-type="bibr" rid="B14">14</xref></sup> Of the 20,324 cardiologists nationwide, 10,770 practice in the Southeast &#8212; more than half of the national total.<sup><xref ref-type="bibr" rid="B15">15</xref></sup> Greater diagnostic availability may therefore increase case ascertainment in the region rather than indicating an intrinsically higher mortality risk.</p>
      <p>A male predominance was observed (55.57% vs. 44.41% among females). While secondary databases are subject to underreporting and coding variability, this pattern aligns with international and regional data. Large cohorts have documented higher IE incidence among men, suggesting biological and behavioral contributors. For example, &#216;stergaard et al. (2019) reported a significantly higher incidence among high-risk men in Denmark.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> Likewise, a Latin American systematic review found a male predominance across clinical and microbiological series with cross-country variability.<sup><xref ref-type="bibr" rid="B17">17</xref></sup></p>
      <p>Proposed explanations include behavioral risk factors (eg, higher prevalence of injection drug use, alcohol consumption, and health care-associated exposures in men) as well as sex-related differences in immune and cardiovascular responses. However, these differences should be interpreted cautiously, as mortality proportions from administrative data may also reflect biases in access to care and diagnosis.<sup><xref ref-type="bibr" rid="B16">16</xref></sup></p>
      <p>According to Lima et al.,<sup><xref ref-type="bibr" rid="B1">1</xref></sup> IE is a life-threatening condition with a challenging diagnosis that demands precise investigative approaches to optimize clinical outcomes and mitigate disease burden.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusion</title>
      <p>This study demonstrates a substantial and progressive increase in IE-related mortality in Brazil from 1996 to 2023, with a total of 40,157 deaths &#8212; a 230.77% increase over the study period. The Southeast region had the highest number of deaths, which is consistent with its larger population and greater concentration of health professionals, including cardiologists. A male predominance (55.57%) was observed, suggesting behavioral and biological contributors to risk.</p>
      <p>Chi-square tests of independence revealed significant differences by year (p &lt; 0.05), region, and sex (p &lt; 0.001), indicating a nonrandom distribution of deaths and supporting the robustness of these findings. These results underscore the need for continued epidemiological surveillance and improved case reporting, particularly in high-risk regions and populations.</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 not associated with any thesis or dissertation work.</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>
    <ack>
      <title>Acknowledgments</title>
      <p>We are deeply grateful to our families for their unwavering support, and to our advisors for their confidence in us, their guidance, and their steadfast assistance.</p>
    </ack>
    <sec sec-type="data-availability" specific-use="data-available">
      <title>Data Availability Statement</title>
      <p>The content is available at the link: <ext-link ext-link-type="uri" xlink:href="http://tabnet.datasus.gov.br">http://tabnet.datasus.gov.br</ext-link> and <ext-link ext-link-type="uri" xlink:href="http://www2.datasus.gov.br">http://www2.datasus.gov.br</ext-link></p>
    </sec>
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