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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">htpf4TxVQLXYVkbr5Np3YRh</article-id>
      <article-id specific-use="previous-pid" pub-id-type="publisher-id">S2359-56472021005012206</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S2359-56472022000100058</article-id>
      <article-id pub-id-type="publisher-id">ijcs.20200352</article-id>
      <article-id pub-id-type="doi">10.36660/ijcs.20200352</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>ORIGINAL ARTICLE</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Predictive Value of Myocardial injury in Patients with COVID-19 Admitted to a Quaternary Hospital in the City of Rio de Janeiro</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-7637-3194</contrib-id>
          <name>
            <surname>Rocha</surname>
            <given-names>Ant&#244;nio S&#233;rgio Cordeiro da</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-1186-2365</contrib-id>
          <name>
            <surname>Volschan</surname>
            <given-names>Andre</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Campos</surname>
            <given-names>Luiz Antonio Almeida</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Coelho</surname>
            <given-names>Roberta Pereira dos Santos</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Thielmann</surname>
            <given-names>Dominique Cardoso de Almeida</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ferreira</surname>
            <given-names>Carlos Augusto Lobbe Cotta</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Colafranceschi</surname>
            <given-names>Alexandre Siciliano</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <institution content-type="orgname">Hospital Pr&#243;-card&#237;aco</institution>
        <addr-line>
          <named-content content-type="city">Rio de Janeiro</named-content>
          <named-content content-type="state">RJ</named-content>
        </addr-line>
        <country country="BR">Brazil</country>
        <institution content-type="original">Hospital Pr&#243;-card&#237;aco, Rio de Janeiro, RJ &#8211; Brazil</institution>
      </aff>
      <author-notes>
        <corresp id="c01"> Mailing Address: Ant&#244;nio S&#233;rgio Cordeiro da Rocha Rua General Polidoro, 192. Postal Code: 22280-003, Rio de Janeiro, RJ &#8211; Brazil E-mail: <email>ascrbr@centroin.com.br</email> </corresp>
        <fn fn-type="con">
          <p>Author contributions</p>
          <p>Conception and design of the research: Rocha ASC, Volschan A, Coelho RPS, Thielmann DCA. Acquisition of data: Rocha ASC, Volschan A. Analysis and interpretation of the data: Rocha ASC, Volschan A, Campos LAA, Thielmann DCA, Ferreira CALC, Colafranceschi AS. Statistical analysis: Rocha ASC, Volschan A. Writing of the manuscript: Rocha ASC, Volschan A. Critical revision of the manuscript for intellectual content: Rocha ASC, Volschan A, Campos LAA, Thielmann DCA, Ferreira CALC, Colafranceschi AS.</p>
        </fn>
        <fn fn-type="conflict">
          <p>Potential Conflict of Interest</p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>03</day>
        <month>09</month>
        <year>2021</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <season>Jan-Feb</season>
        <year>2022</year>
      </pub-date>
      <volume>35</volume>
      <issue>1</issue>
      <fpage>58</fpage>
      <lpage>64</lpage>
      <history>
        <date date-type="received">
          <day>3</day>
          <month>11</month>
          <year>2020</year>
        </date>
        <date date-type="rev-recd">
          <day>19</day>
          <month>01</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>2</day>
          <month>06</month>
          <year>2021</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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. </license-p>
        </license>
      </permissions>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background</title>
          <p> In Brazil the factors involved in the risk of death in patients with COVID-19 have not been well established.</p>
        </sec>
        <sec>
          <title>Objective</title>
          <p> To analyze whether elevations of high-sensitivity troponin I (hTnI) levels influence the mortality of patients with COVID-19.</p>
        </sec>
        <sec>
          <title>Methods</title>
          <p> Clinical and laboratory characteristics of hospitalized patients with COVID-19 were collected upon hospital admission. Univariate and binary logistic regression analyzes were performed to assess the factors that influence mortality. P-value&lt;0.05 was considered significant.</p>
        </sec>
        <sec>
          <title>Results</title>
          <p> This study analyzed192 patients who received hospital admission between March 16 and June 2, 2020 and who were discharged or died by July 2, 2020. The mean age was 70&#177;15 years, 80 (41.7%) of whom were women. In comparison to those who were discharged, the 54 (28.1%) who died were older (79&#177;12 vs 66&#177;15years; P=0.004), and with a higher Charlson&#180;s index (5&#177;2 vs 3&#177;2; P=0.027). More patients, aged&#8805;60years (P &lt;0.0001), Charlson&#180;s index&gt;1 (P=0.004), lung injury&gt;50% in chest computed tomography (P=0.011), with previous coronary artery disease (P=0.037), hypertension (P=0.033), stroke (P=0.008), heart failure (P=0.002), lymphocytopenia (P=0.024), high D-dimer (P=0.024), high INR (P=0.003), hTnI (P&lt;0.0001), high creatinine (P&lt;0.0001), invasive mechanical ventilation (P&lt;0.0001), renal replacement therapy (P&lt;0.0001), vasoactive amine (P&lt;0.0001), and transfer to the ICU (P=0.001), died when compared to those who were discharged. In logistic regression analysis, elevated hTnI levels (OR=9.504; 95% CI=1.281&#8211;70.528; P=0.028) upon admission, and the need for mechanical ventilation during hospitalization (OR=46.691; 95% CI=2.360&#8211;923.706; P=0.012) increased the chance of in-hospital mortality.</p>
        </sec>
        <sec>
          <title>Conclusion</title>
          <p> This study suggests that in COVID-19 disease, myocardial injury upon hospital admission is a harbinger of poor prognosis.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>COVID-19</kwd>
        <kwd>SARS-CoV-2</kwd>
        <kwd>Mortality</kwd>
        <kwd>Myocardial Contusions</kwd>
        <kwd>troponin I</kwd>
      </kwd-group>
      <counts>
        <fig-count count="0"/>
        <table-count count="3"/>
        <equation-count count="0"/>
        <ref-count count="24"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introduction</title>
      <p>Since the first reported cases in Wuhan, China, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly worldwide. According to the World Health Organization (WHO), on October 9, 2020, there were 36,754,395 confirmed cases of COVID-19 in the world, with 1,064,838 deaths, while in Brazil there were 5,028,444 confirmed cases with 148,957 deaths.<sup><xref ref-type="bibr" rid="B1">1</xref></sup></p>
      <p>Although SARS-CoV-2 explicitly refers to an aggression in the lungs, often inducing acute respiratory distress syndrome (ARDS), it also affects other organs, including blood vessels, brain, gastrointestinal tract, kidneys, heart, and liver,<sup><xref ref-type="bibr" rid="B2">2</xref></sup> and cardiovascular complications are manifestations that contribute significantly to the mortality of these patients.<sup><xref ref-type="bibr" rid="B3">3</xref></sup></p>
      <p>Several biomarkers of myocardial injury are elevated in patients with COVID-19, and a rise in troponin levels have been associated with the prediction of malignant cardiac arrhythmias,<sup><xref ref-type="bibr" rid="B4">4</xref></sup> and the need for mechanical ventilation (MV).<sup><xref ref-type="bibr" rid="B3">3</xref> , <xref ref-type="bibr" rid="B5">5</xref> - <xref ref-type="bibr" rid="B8">8</xref></sup></p>
      <p>This study sought to verify whether the elevation of high-sensitive troponin I (hTnI) levels upon hospital admission is an independent predictive factor of higher mortality in hospitalized patients with COVID-19.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <p>This retrospective study involved a cohort of patients over 18 years of age who received hospital admission between March 16 and June 2, 2020, with a diagnosis of COVID-19, confirmed by nasopharyngeal reverse transcription-polymerase chain reaction (RT-PCR), or IgM and IgG measurement by chemiluminescent microplate immunoassay technique, and who were discharged or died by July 2, 2020.</p>
      <p>The following characteristics were routinely collected upon hospital admission: sex, age, symptoms, comorbidities, blood count, biochemistry, prothrombin time with INR (INR), ultrasensitive PCR, D-dimer, simple X-ray, and chest computed tomography (CT) scan. hTnI (VITROS&#174; High Sensitivity Troponin I assay), N-terminal prohormone of brain natriuretic peptide (Roche NT-proBNP), fibrinogen, and transthoracic echocardiogram (TTE) were not collected in all patients upon hospital admission. The laboratory tests were those collected within 24 hours of the patients' admission.</p>
      <p>Comorbidities and clinical manifestations were collected by the physician responsible for hospital admission and were described, non-systematically, in the research forms from which the data were extracted for analysis.</p>
      <p>The need for invasive MV, renal replacement therapy (RRT), extracorporeal membrane oxygenator (ECMO), the development of acute left ventricular systolic dysfunction (LVSD), or acute cor pulmonale, and the transfer to the intensive care unit (ICU) due to the worsening of the clinical condition during hospitalization, were also collected. Worsening of the clinical condition meant persistent desaturation, despite oxygenation by a high-flow nasal catheter, endotracheal intubation, resuscitation after cardiorespiratory arrest, and shock of any nature requiring vasoactive amines.</p>
      <p>To analyze the chest CT scan, exams performed in the first 24 hours of hospitalization were included, and those with a &#8220;ground glass&#8221; infiltrate pattern, compatible with SARS-CoV-2 infection,<sup><xref ref-type="bibr" rid="B9">9</xref></sup> were considered positive. All chest CT reports were reviewed by a senior radiologist, with an emphasis on compatible changes and the percentage of pulmonary parenchymal involvement.</p>
      <p>TTE were performed following the recommendations of the Department of Cardiovascular Imaging (DIC, in Portuguese) of the Brazilian Society of Cardiology (SBC, in Portuguese) to perform cardiovascular imaging tests during the COVID-19 pandemic,<sup><xref ref-type="bibr" rid="B10">10</xref></sup> prioritizing the analysis of the left ventricular systolic dysfunction (LVSD) and the presence of acute cor pulmonale. The degree of LVSD was assessed visually. These analyzes were performed within the first 48 hours of hospitalization, and all tests were reviewed and validated by a senior echocardiographer.</p>
      <p>The review of the imaging exams was carried out without the doctors having any knowledge of the clinical, laboratory, or patient outcomes.</p>
      <p>Symptoms and comorbidities were those reported by patients or provided by family members, caregivers, or companions depending on the degree of interaction of the patients at the time of hospital admission.</p>
      <p>The comorbidities presented by the patients were assessed using the Charlson&#8217;s comorbidity index.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
      <p>This study was approved by the institution&#8217;s Ethics Committee (number 31543220.1.0000.5533).</p>
    </sec>
    <sec>
      <title>Statistical analysis</title>
      <p>Data were collected directly from the medical records by an independent clinical research team and subsequently included in the SPSS statistical package, version 22 (IBM SPSS<sup>&#174;</sup>).</p>
      <p>Continuous variables were exposed by mean and standard deviations, and categorical variables by numbers and the appropriate proportions. The unpaired Student t test was used to compare continuous variables, and the Fisher's exact test or the Chi-square method was used to verify the existence of the association between categorical variables.</p>
      <p>Binary logistic regression analysis was used to define which factors independently influenced mortality. To be included in this analysis, it was necessary that in the univariate analyses conducted by the Student&#8217;s t test, Fisher exact test, or Chi-square test, the P-values were &#8804; 0.05. Two-tailed P-values &lt; 0.05 were considered statistically significant.</p>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>During the study period, 339 consecutive patients were admitted to cohort units for SARS-Cov-2 infection, of whom 205 had a confirmed diagnosis. Among the 205, 192 (93.6%), who either died or were discharged by July 2, 2020, were included in this analysis.</p>
      <p>Of the 192, 80 (41.7%) were women, aged 70 &#177; 15 years and Charlson&#8217;s index of 3 &#177; 2. This study included 135 patients aged &#8805;60 years (70.3%), and 61 (31.8%) were aged &#8805;80 years. Charlson&#8217;s index &gt;1 was observed in 133 (69.3%) patients.</p>
      <p>During the study period, 54 (28.1%) patients died.</p>
      <p><xref ref-type="table" rid="t1">Table 1</xref> shows that, on average, deceased patients were 13 years older than those who were discharged and with a significantly higher Charlson&#8217;s index.</p>
      <p>
        <table-wrap id="t1">
          <label>Table 1</label>
          <caption>
            <title>&#8211; Factors involved in mortality upon hospital admission in a univariate analysis</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">Characteristics</th>
                <th>Discharged (N=138)</th>
                <th>Died (N=54)</th>
                <th>p-value</th>
                <th>OR</th>
                <th>95% CI</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Age &#8805; 60 years, N (%)</td>
                <td align="center">84 (60.9)</td>
                <td align="center">51 (94.4)</td>
                <td align="center">&lt;0.0001</td>
                <td align="center">10.929</td>
                <td align="center">3.247&#8211;36.779</td>
              </tr>
              <tr>
                <td>Charlson&#8217;s index &gt;1, N (%)</td>
                <td align="center">121 (87.7)</td>
                <td align="center">54(100)</td>
                <td align="center">0.004</td>
                <td align="center">1.446</td>
                <td align="center">1.310&#8211;1.547</td>
              </tr>
              <tr>
                <td>Men, N (%)</td>
                <td align="center">81 (58.7)</td>
                <td align="center">31 (57.4)</td>
                <td align="center">0.672</td>
                <td align="center">1.054</td>
                <td align="center">0.558&#8211;1.994</td>
              </tr>
              <tr>
                <td>Obesity, N (%)</td>
                <td align="center">37 (26.8)</td>
                <td align="center">14 (25.9)</td>
                <td align="center">1.0</td>
                <td align="center">0.995</td>
                <td align="center">0.467&#8211;1.954</td>
              </tr>
              <tr>
                <td>SAH, N (%)</td>
                <td align="center">79 (57.2)</td>
                <td align="center">40 (74.1)</td>
                <td align="center">0.033</td>
                <td align="center">2.134</td>
                <td align="center">1.064&#8211;4.279</td>
              </tr>
              <tr>
                <td>Diabetes, N (%)</td>
                <td align="center">48 (34.8)</td>
                <td align="center">20 (37.0)</td>
                <td align="center">0.867</td>
                <td align="center">1.103</td>
                <td align="center">0.573&#8211;2.121</td>
              </tr>
              <tr>
                <td>CAD, N (%)</td>
                <td align="center">26 (18.8)</td>
                <td align="center">18 (33.3)</td>
                <td align="center">0.037</td>
                <td align="center">2.154</td>
                <td align="center">1.060&#8211;4.375</td>
              </tr>
              <tr>
                <td>Stroke, N (%)</td>
                <td align="center">7 (5.1)</td>
                <td align="center">10 (18.5)</td>
                <td align="center">0.008</td>
                <td align="center">4.253</td>
                <td align="center">1.527&#8211;11.848</td>
              </tr>
              <tr>
                <td>COPD, N (%)</td>
                <td align="center">11 (8.0)</td>
                <td align="center">8 (14.8)</td>
                <td align="center">0.181</td>
                <td align="center">2.008</td>
                <td align="center">0.760&#8211;5.303</td>
              </tr>
              <tr>
                <td>CHF, N (%)</td>
                <td align="center">4 (2.9)</td>
                <td align="center">9 (16.7)</td>
                <td align="center">0.002</td>
                <td align="center">6.700</td>
                <td align="center">1.968&#8211;22.814</td>
              </tr>
              <tr>
                <td>CRF, N (%)</td>
                <td align="center">7 (5.1)</td>
                <td align="center">6 (11.1)</td>
                <td align="center">0.197</td>
                <td align="center">2.339</td>
                <td align="center">0.749&#8211;7.310</td>
              </tr>
              <tr>
                <td>CT pulmonary&gt;50%, N (%)</td>
                <td align="center">30 (21.9)</td>
                <td align="center">22 (41.5)</td>
                <td align="center">0.011</td>
                <td align="center">2.531</td>
                <td align="center">1.282&#8211;4.997</td>
              </tr>
              <tr>
                <td>Leukocytosis, N (%)</td>
                <td align="center">16 (11.6)</td>
                <td align="center">11 (20.4)</td>
                <td align="center">0.164</td>
                <td align="center">1.951</td>
                <td align="center">0.840&#8211;4.530</td>
              </tr>
              <tr>
                <td>Lymphocytopenia, N (%)</td>
                <td align="center">63 (45.7)</td>
                <td align="center">35 (64.8)</td>
                <td align="center">0.024</td>
                <td align="center">2.193</td>
                <td align="center">1.143 4.206</td>
              </tr>
              <tr>
                <td>Thrombocytopenia, N (%)</td>
                <td align="center">44 (31.9)</td>
                <td align="center">21 (38.9)</td>
                <td align="center">0.398</td>
                <td align="center">1.360</td>
                <td align="center">0.707&#8211;2.614</td>
              </tr>
              <tr>
                <td>D-dimer&#8805;500ng/mL, N (%)</td>
                <td align="center">108 (80.0)</td>
                <td align="center">48 (91.4)</td>
                <td align="center">0.024</td>
                <td align="center">4.000</td>
                <td align="center">1.157&#8211;13.827</td>
              </tr>
              <tr>
                <td>hsRCP-t&gt;0.5ng/mL, N (%)</td>
                <td align="center">135 (97.8)</td>
                <td align="center">54 (100)</td>
                <td align="center">0.560</td>
                <td align="center">0.978</td>
                <td align="center">0.954&#8211;1.003</td>
              </tr>
              <tr>
                <td>hTnI&#8805;34pg/mL, N (%)</td>
                <td align="center">11 (10.8)</td>
                <td align="center">18 (48.6)</td>
                <td align="center">&lt;0.0001</td>
                <td align="center">7.837</td>
                <td align="center">3.192&#8211;19.345</td>
              </tr>
              <tr>
                <td>INR&gt;1.3, N (%)</td>
                <td align="center">21 (15.3)</td>
                <td align="center">19 (35.8)</td>
                <td align="center">0.003</td>
                <td align="center">3.087</td>
                <td align="center">1.489&#8211;6.398</td>
              </tr>
              <tr>
                <td>Creatinine&gt;1.3mg/dL, N (%)</td>
                <td align="center">29 (53.7)</td>
                <td align="center">28 (20.6)</td>
                <td align="center">&lt;0.0001</td>
                <td align="center">4.474</td>
                <td align="center">2.273&#8211;8.809</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN1">
              <p>
                <italic>SAH: systemic arterial hypertension; CAD: coronary artery disease; COPD: chronic obstructive pulmonary disease; CHF: congestive heart failure; CRF: chronic renal failure; CT pulmonary: pulmonary parenchymal alterations in chest computed tomography; hsCRP: high-sensitive C-reactive protein; hsTnI: high-sensitivity troponin I; INR: international normalized ratio; Leukocytosis means white blood cell count &#8805;10500/L; Lymphocytopenia, lymphocyte count &lt;900/L; thrombocytopenia, platelet count &lt;150000/L.</italic>
              </p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>Of the 54 who died, 27 (50%) received palliative care during hospitalization. In 7 of the 27 (25.9%), no invasive procedures, endotracheal intubation, renal replacement therapy, or resuscitation procedures were used, and the deaths occurred in semi-intensive care units.</p>
      <p>As shown in <xref ref-type="table" rid="t1">Table 1</xref> , more patients of &#8805;60 years, and with Charlson&#8217;s index &gt;1 died when compared to those who were discharged. <xref ref-type="table" rid="t1">Table 1</xref> also shows that patients who died had more than 50% of the pulmonary parenchyma compromised, a previous history of coronary artery disease (CAD), stroke, congestive heart failure (CHF), and systemic arterial hypertension (SAH), as well as lymphocytopenia, higher levels of creatinine, D-dimer, INR, and hTnI upon hospital admission than those who survived and were discharged.</p>
      <p>The average length of stay was not different between those who died and those who were discharged (14 &#177; 13 days vs 14 &#177; 11 days; P=0.174).</p>
      <p>No difference in mortality was found between men and women (27.7% vs 28.7%, respectively; P=0.872).</p>
      <p><xref ref-type="table" rid="t2">Table 2</xref> shows that during hospitalization, more patients who died received invasive MV, RRT, vasoactive amine, and transfer to the ICU compared to those who were discharged.</p>
      <p>
        <table-wrap id="t2">
          <label>Table 2</label>
          <caption>
            <title>&#8211; Factors involved in mortality during hospitalization in univariate analysis</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">Characteristics</th>
                <th>Discharged (N=138)</th>
                <th>Died (N=54)</th>
                <th>p-value</th>
                <th>OR</th>
                <th>95% CI</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>LVSD, N (%)</td>
                <td align="center">2 (2.7)</td>
                <td align="center">5 (10.6)</td>
                <td align="center">0.109</td>
                <td align="center">4.226</td>
                <td align="center">0.785&#8211;22.758</td>
              </tr>
              <tr>
                <td>RRT, N (%)</td>
                <td align="center">2 (1.4)</td>
                <td align="center">11 (20.4)</td>
                <td align="center">&lt;0.0001</td>
                <td align="center">17.395</td>
                <td align="center">3.710&#8211;81.562</td>
              </tr>
              <tr>
                <td>Transfer to ICU, N (%)</td>
                <td align="center">17 (12.3)</td>
                <td align="center">19 (35.2)</td>
                <td align="center">0.001</td>
                <td align="center">3.864</td>
                <td align="center">1.817&#8211;8.219</td>
              </tr>
              <tr>
                <td>Vasoactive amine, N (%)</td>
                <td align="center">20 (14.5)</td>
                <td align="center">30 (55.6)</td>
                <td align="center">&lt;0.0001</td>
                <td align="center">7.375</td>
                <td align="center">3.604&#8211;15.092</td>
              </tr>
              <tr>
                <td>MV, N (%)</td>
                <td align="center">16 (11.6)</td>
                <td align="center">41 (75.9)</td>
                <td align="center">&lt;0.0001</td>
                <td align="center">24.048</td>
                <td align="center">10.667&#8211;54.214</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN2">
              <p>
                <italic>LVSD: left ventricular systolic dysfunction; RRT: renal replacement therapy; ICU: intensive care unit; MV: invasive mechanical ventilation;</italic>
              </p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>There was no difference between those who died and those who were discharged with regard to the development of acute LVSD during hospitalization (10.6% vs 2.7%; P=0.109).</p>
      <p><xref ref-type="table" rid="t3">Table 3</xref> shows that, in the binary logistic regression analysis, it was found that elevated hTnI levels upon hospital admission, and the need for invasive MV during hospitalization, increased the chance of hospital mortality.</p>
      <p>
        <table-wrap id="t3">
          <label>Table 3</label>
          <caption>
            <title>&#8211; Results of binary regression analysis</title>
          </caption>
          <table frame="hsides" rules="groups">
            <colgroup>
              <col/>
              <col/>
              <col/>
              <col/>
            </colgroup>
            <thead>
              <tr>
                <th align="left">Characteristics</th>
                <th>OR</th>
                <th>95% CI</th>
                <th>p-value</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Age &#8805; 60 years</td>
                <td align="center">6.305</td>
                <td align="center">0.501 &#8211; 79.403</td>
                <td align="center">0.154</td>
              </tr>
              <tr>
                <td>CAD</td>
                <td align="center">8.093</td>
                <td align="center">0.944 &#8211; 69.376</td>
                <td align="center">0.056</td>
              </tr>
              <tr>
                <td>Stroke</td>
                <td align="center">13.980</td>
                <td align="center">0.327 &#8211; 597.291</td>
                <td align="center">0.169</td>
              </tr>
              <tr>
                <td>CHF</td>
                <td align="center">8.567</td>
                <td align="center">0.426 &#8211; 172.445</td>
                <td align="center">0.161</td>
              </tr>
              <tr>
                <td>INR&gt;1.3</td>
                <td align="center">6.221</td>
                <td align="center">0.765 &#8211; 50.613</td>
                <td align="center">0.087</td>
              </tr>
              <tr>
                <td>D-dimer&gt;500ng/mL</td>
                <td align="center">1.507</td>
                <td align="center">0.034 &#8211; 66.740</td>
                <td align="center">0.832</td>
              </tr>
              <tr>
                <td>Creatinine &gt;1.3mg/dL</td>
                <td align="center">1.206</td>
                <td align="center">0.196 &#8211; 7.404</td>
                <td align="center">0.840</td>
              </tr>
              <tr>
                <td>hTnI &gt;34pg/mL</td>
                <td align="center">9.504</td>
                <td align="center">1.281 &#8211; 70.528</td>
                <td align="center">0.028</td>
              </tr>
              <tr>
                <td>CT pulmonary alterations &gt;50%</td>
                <td align="center">3.878</td>
                <td align="center">0.502 &#8211; 29.943</td>
                <td align="center">0.194</td>
              </tr>
              <tr>
                <td>MV</td>
                <td align="center">46.691</td>
                <td align="center">2.360 &#8211; 923.706</td>
                <td align="center">0.012</td>
              </tr>
              <tr>
                <td>Vasoactive amine</td>
                <td align="center">0.843</td>
                <td align="center">0.113 &#8211; 6.262</td>
                <td align="center">0.867</td>
              </tr>
              <tr>
                <td>Transfer to ICU</td>
                <td align="center">3.231</td>
                <td align="center">0.153 &#8211; 68.109</td>
                <td align="center">0.451</td>
              </tr>
              <tr>
                <td>RRT</td>
                <td align="center">10.175</td>
                <td align="center">0.800 &#8211; 129.444</td>
                <td align="center">0.074</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="TFN3">
              <p>
                <italic>CAD: coronary artery disease; CHF: congestive heart failure; CT pulmonary: pulmonary parenchymal alterations in chest computed tomography; hTnI: high-sensitivity troponin I; MV: invasive mechanical ventilation; ICU: intensive care unit; RRT: renal replacement therapy.</italic>
              </p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </p>
      <p>Patients with hTnI elevation upon hospital admission are more likely to have previous CHF (17.2% vs 2.7%; P=0.010; OR=7.431; 95% CI=1.661 &#8211; 33.243), COPD (20.7% vs 6.4%; P=0.029; 95% CI= 1.179 &#8211; 12.497), and the need for invasive MV during hospitalization (55.2% vs 21.8%; P=0.001; OR=4.410; 95% CI=1.865 &#8211; 10.426) as compared to patients who have normal hTnI levels.</p>
      <p>No difference was found in relation to previous history of stroke (13.3% vs 9.1%; P=0.49), CAD (27.6% vs 23.6%; P=0.63), SAH (72.4% vs 60,0%; P=0.28), diabetes (44.8% vs 33.6%; P=0.28), and the development of acute LVSD (7.7% vs 6.3%; P=1.0) during hospitalization between patients with high and normal TnI levels, respectively, upon hospital admission.</p>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>According to the findings of this study, it is suggested that, in a selected population of symptomatic hospitalized adult patients with a confirmed diagnosis of COVID-19, the presence of myocardial injury, characterized by high levels of hTnI upon hospital admission, is associated with an increased risk of death.</p>
      <p>There is growing evidence of an association between myocardial injury and an increased risk of death in patients with COVID-19. Several studies involving patients with confirmed COVID-19 have implied the elevation of serum hTnI not only with mortality,<sup><xref ref-type="bibr" rid="B4">4</xref> , <xref ref-type="bibr" rid="B12">12</xref> - <xref ref-type="bibr" rid="B19">19</xref></sup> but also criticality.<sup><xref ref-type="bibr" rid="B8">8</xref> , <xref ref-type="bibr" rid="B14">14</xref> , <xref ref-type="bibr" rid="B16">16</xref></sup></p>
      <p>Although some investigators<sup><xref ref-type="bibr" rid="B4">4</xref> , <xref ref-type="bibr" rid="B14">14</xref> , <xref ref-type="bibr" rid="B16">16</xref> , <xref ref-type="bibr" rid="B18">18</xref></sup> have found an association between inflammatory biomarkers with poor prognosis, in the present study, only higher levels of hTnI were independently associated with mortality ( <xref ref-type="table" rid="t3">table 3</xref> ).</p>
      <p>Another finding of this study, unlike others,<sup><xref ref-type="bibr" rid="B6">6</xref> , <xref ref-type="bibr" rid="B12">12</xref> , <xref ref-type="bibr" rid="B13">13</xref> , <xref ref-type="bibr" rid="B18">18</xref></sup> is that the presence of cardiovascular comorbidities was not independently associated with higher mortality ( <xref ref-type="table" rid="t3">Table 3</xref> ). In addition, it was demonstrated ( <xref ref-type="table" rid="t3">table 3</xref> ) that there was no independent association between older age (&gt;60year-old) and mortality as has been demonstrated in other studies.<sup><xref ref-type="bibr" rid="B12">12</xref> , <xref ref-type="bibr" rid="B14">14</xref> , <xref ref-type="bibr" rid="B16">16</xref></sup> In the present study, the mortality of patients aged &#8805; 60years of age was 37.8%, while the mortality of patients with higher hTnI was 69.4% (data not shown). In other words, it is suggested that myocardial injury upon hospital admission is much more dangerous than older age or cardiovascular comorbidities in the population with COVID-19 reported in this study.</p>
      <p>Therefore, according to the findings of the present study and data collected from recent literature, it seems clear that the presence of myocardial injury in hospitalized adult patients with COVID-19 was associated with an increased risk of death. The pathophysiological substrate of myocardial injury produced by SARS-CoV-2 is not yet well defined, but it is speculated that an imbalance between myocardial demand and supply due to tachycardia, hypotension, and hypoxemia resulting in type 2 myocardial infarction, acute coronary syndrome due to a virally induced thrombotic and inflammatory state, microvascular dysfunction due to diffuse microthrombi or vascular injury, stress-related cardiomyopathy (Takotsubo syndrome), nonischemic myocardial injury due to hyperinflammatory cytokine storm, or a direct viral cardiomyocyte toxicity and myocarditis may be involved.<sup><xref ref-type="bibr" rid="B5">5</xref> , <xref ref-type="bibr" rid="B20">20</xref></sup></p>
      <p>Although no association was found between a rise in troponin upon hospital admission and the development of acute LVSD, it must be taken into account that there was no analysis of the evolution of hTnI levels during hospitalization.</p>
      <p>Another finding of the present study is the independent association of the need for invasive MV during hospitalization, and an increased chance of death. Patients who required MV had a much higher chance of death when compared to those who did not require MV ( <xref ref-type="table" rid="t2">Table 2</xref> and <xref ref-type="table" rid="t3">Table 3</xref> ). Of 57 patients that needed MV, 41 died (71.9%). This association has been reported by other studies, which have demonstrated that the mortality involved in the need for invasive MV varied from 33.9% to 90%.<sup><xref ref-type="bibr" rid="B16">16</xref> , <xref ref-type="bibr" rid="B21">21</xref> - <xref ref-type="bibr" rid="B24">24</xref></sup></p>
      <p>The finding of an association between the need for MV and increased mortality seems obvious, as it implies greater severity of the disease, especially acute respiratory distress syndrome. In the studied population, patients who required MV present greater lung injury (40.4% vs 21.8%; P = 0.013), higher hTnI (40% vs 13.1%; P = 0.001), a greater need for ECMO (5.3% vs 0%; P = 0.025), and RRT (21.1% vs 0.7%; P &lt;0.0001) than those that did not require MV.</p>
    </sec>
    <sec>
      <title>Limitations</title>
      <p>Like any retrospective study, this study suffers from the lack of systematization in the registration of clinical and laboratory characteristics of patients, implying that the associations between these data and mortality are suggestive and require external validation, involving a larger number of patients with similar clinical and laboratory characteristics.</p>
      <p>Laboratory changes that occurred during the course of hospitalization were also not routinely analyzed, which could somehow modify the results of the study.</p>
      <p>This is a study of a quaternary heart center, which increases the chance of involving more patients with heart diseases, although no difference was found in the presence of previous CAD, stroke, chronic kidney dysfunction, SAH, diabetes or the development of acute LVSD among those with and without myocardial injury.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusions</title>
      <p>In a selected population of symptomatic hospitalized adult patients with COVID-19, the presence of myocardial injury upon hospital admission was independently associated with increased mortality. Therefore, it was suggested that hospitalized COVID-19 patients should have troponin levels measured routinely upon hospital admission in order to stratify the risk of death.</p>
    </sec>
  </body>
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          <source>JAMA Intern Med</source>
          <year>2020</year>
          <volume>180</volume>
          <issue>7</issue>
          <fpage>934</fpage>
          <lpage>943</lpage>
          <issue-id pub-id-type="doi">10.1001/jamainternmed.2020.0994.</issue-id>
        </element-citation>
      </ref>
    </ref-list>
    <fn-group>
      <fn fn-type="other">
        <p>Study Association</p>
        <p>This study is not associated with any thesis or dissertation work.</p>
      </fn>
      <fn fn-type="other">
        <p>Ethics approval and consent to participate</p>
        <p>This study was approved by the Ethics Committee of the <italic>Hospital Pr&#243;-Card&#237;aco</italic> under the protocol number 31543220.1.0000.5533. All the procedures in this study were in accordance with the 1975 Helsinki Declaration, updated in 2013. Informed consent was obtained from all participants included in the study.</p>
      </fn>
    </fn-group>
    <fn-group>
      <fn fn-type="supported-by">
        <p><bold>Sources of Funding:</bold> There were no external funding sources for this study.</p>
      </fn>
    </fn-group>
  </back>
</article>
