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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJCV</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Coronaviruses</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2692-1537</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.14302/issn.2692-1537.ijcv-21-4025</article-id>
      <article-id pub-id-type="publisher-id">IJCV-21-4025</article-id>
      <article-categories>
        <subj-group>
          <subject>review-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Serum Ferritin Level as a Prognostic Marker of 30 days In Hospital Mortality of Coronavirus Disease 2019 (COVID 19) Pneumonia at World Citi Medical Center: A Retrospective, Observational Cohort, Single Center Study  </article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Allen</surname>
            <given-names>M. Quirit</given-names>
          </name>
          <xref ref-type="aff" rid="idm1849510004">1</xref>
          <xref ref-type="aff" rid="idm1849507988">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Jayson</surname>
            <given-names>Sorreda</given-names>
          </name>
          <xref ref-type="aff" rid="idm1849510004">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Rizalyn</surname>
            <given-names>Pinera</given-names>
          </name>
          <xref ref-type="aff" rid="idm1849510004">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Karen</surname>
            <given-names>Kate Tobias</given-names>
          </name>
          <xref ref-type="aff" rid="idm1849510004">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1849510004">
        <label>1</label>
        <addr-line>MD. </addr-line>
      </aff>
      <aff id="idm1849507988">
        <label>*</label>
        <addr-line>Corresponding author</addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Raul</surname>
            <given-names>Isea</given-names>
          </name>
          <xref ref-type="aff" rid="idm1849351444">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1849351444">
        <label>1</label>
        <addr-line>Fundación Instituto de Estudios  Avanzados - IDEA, Hoyo de la Puerta, Baruta.</addr-line>
      </aff>
      <author-notes>
        <corresp>
    
    Allen M. Quirit, <addr-line>MD</addr-line><email>quiritallen@yahoo.com</email></corresp>
        <fn fn-type="conflict" id="idm1842002380">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2021-12-02">
        <day>02</day>
        <month>12</month>
        <year>2021</year>
      </pub-date>
      <volume>3</volume>
      <issue>3</issue>
      <fpage>20</fpage>
      <lpage>29</lpage>
      <history>
        <date date-type="received">
          <day>23</day>
          <month>11</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>30</day>
          <month>11</month>
          <year>2021</year>
        </date>
        <date date-type="online">
          <day>02</day>
          <month>12</month>
          <year>2021</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2021</copyright-year>
        <copyright-holder>Allen M. Quirit, et al.</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <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 author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/ijcv/article/1737">This article is available from http://openaccesspub.org/ijcv/article/1737</self-uri>
      <abstract>
        <sec id="idm1849357924">
          <title>Introduction</title>
          <p>The COVID-19 pandemic continues to   affect a large swath of the global population. The Philippine records four hundred seventy-four thousand sixty-four (474, 064) confirmed COVID 19 cases since December 31 2020. The COVID 19 pandemic recently highlighted the role of systemic hyperferritenemia as a major cause of death. In this study, we were able to correlate the serum             ferritin level and predict 30 day in hospital mortality in COVID 19 pneumonia.</p>
        </sec>
        <sec id="idm1849354828">
          <title>Objective</title>
          <p> The aim of the study is to investigate the       correlation between serum ferritin level and disease mortality in COVID19 pneumonia with subset              analysis on demographics and co-morbidities of                patients with COVID 19 pneumonia.</p>
        </sec>
        <sec id="idm1849355044">
          <title>Methodology</title>
          <p>We reviewed the records of all laboratory confirmed COVID 19 patients from World Citi Medical Center from April 2020 up to April 2021.A                statistically significant sample size of seventy nine (79) admitted patients were used in this study. A  serum ferritin level was assayed using                         electrochemilumenescence immunoassay with a Roche COBAS analyzer. </p>
        </sec>
        <sec id="idm1849356124">
          <title>Results</title>
          <p>Result showed that high ferritin level is           associated with in hospital mortality. With ferritin level of 1437.07ng/ml, poor clinical outcome and in hospital mortality was considered. We also observed that demographics and co morbidities of patients in this study were significant to predict in hospital mortality. Further sub-analysis of co morbidities such as Hypertensive            cardiovascular disease, Type 2 Diabetes Mellitus, Chronic kidney disease, Liver disease, Chronic obstructive             pulmonary disease and Cerebrovascular disease showed poor outcome which were directly related to ferritin levels with p value of &lt;0.0001.</p>
        </sec>
        <sec id="idm1849355476">
          <title>Conclusion</title>
          <p>This study has demonstrated that elevated                ferritin levels were shown to correlate with 30 day in            hospital mortality as well as medical comorbidities such as Hypertensive Cardiovascular disease, Type 2 Diabetes Mellitus, and chronic kidney disease have shown                 significant evidence for in hospital mortality.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>Serum Ferritin</kwd>
        <kwd>COVID-19</kwd>
        <kwd>Mortality</kwd>
      </kwd-group>
      <counts>
        <fig-count count="1"/>
        <table-count count="3"/>
        <page-count count="10"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1849356052" sec-type="intro">
      <title>Introduction</title>
      <p>The disease outbreak of coronavirus                     disease -2019 (COVID-19) continues to affect a large swath of the global population <xref ref-type="bibr" rid="ridm1842447068">1</xref>. The Philippine records four hundred seventy-four thousand sixty-four (474, 064) confirmed COVID 19 cases after the Department of health (DOH) reported one thousand five hundred fourty one (1,541) additional cases last December 31 2020. The COVID 19 has recently highlighted the role of systemic hyperinflammation as a major cause of death<xref ref-type="bibr" rid="ridm1842447068">1</xref>. A virally induced cytokine storm syndrome associated with a            massive and overwhelming systemic inflammation,                burdens a subgroup of patients with severe COVID 19 which lead to pulmonary inflammation and extensive lung damage<xref ref-type="bibr" rid="ridm1842441236">2</xref>. The association between high ferritin levels and a more aggressive subset of these diseases may               suggest a possible pathogenic role of this molecule as             proposed by the concept of hyperferritinemic                           syndrome<xref ref-type="bibr" rid="ridm1842456724">3</xref>. A hyperinflammatory environment has been a hallmark of COVID 19 infection and is thought to be a key mediator of mortality<xref ref-type="bibr" rid="ridm1842553124">4</xref>. In this study, we were able to correlate the serum ferritin level and disease mortality in COVID19 pneumonia and predict in hospital mortality based on demographics and co morbidities.</p>
    </sec>
    <sec id="idm1849355908">
      <title>Objective</title>
      <sec id="idm1849355836">
        <title>General Objective</title>
        <p>The aim of the study is to investigate the                  correlation between serum ferritin level and disease             mortality in COVID19 pneumonia.</p>
      </sec>
      <sec id="idm1849354612">
        <title>Specific Objective</title>
        <p>Specifically, the aim of this study is to correlate the serum ferritin levels to demographics and                                      co-morbidities of patients with COVID 19 pneumonia,                admitted at World Citi Medical Center from April 2020 up to April 2021 and predict 30 day in hospital mortality.</p>
      </sec>
      <sec id="idm1849356268">
        <title>Significance of the Study</title>
        <p>This study will evaluate the usefulness of ferritin level in prognosticating COVID 19 pneumonia and helps in the assessment of patients who need more aggressive   approach to management.. It will also evaluate the                       correlation between ferritin level and disease mortality in COVID 19 pneumonia.</p>
      </sec>
    </sec>
    <sec id="idm1849352380" sec-type="methods">
      <title>Methodology</title>
      <p>We reviewed the records of all COVID 19                      admitted patients from World Citi Medical Center, a                 Tertiary General Hospital with 150 bed capacity and ISO certifications for Quality Management System,                        Environmental Management System, and Health and                Safety Management from April 2020 up to April 2021. A stastically significant sample size of seventy nine (79)  patients in hospital admission was used in this study. A retrospective observational cohort study was conducted to patients presenting at the emergency department with COVID 19 confirmed pneumonia diagnosis. Serum ferritin levels was assayed using an electrochemilumenescence immunoassay with a Roche COBAS analyzer. Of all the COVID 19 positive patients, only hospitalized patients with a ferritin level available over admission were                  included in the analysis. Patients who had a ferritin level obtained within three days of admission were considered also as acceptable ferritin result. In patients with multiple ferritin levels obtained, the one closest to admission was used for the admission ferritin.</p>
      <sec id="idm1849352884">
        <title>Study Definition</title>
        <p>We classified the patients and defined them as COVID 19 confirmed case based on WHO definition and available confirmatory test in our institution. COVID 19 confirmed patients are patients with SARS CoV-2 infection documented by Nucleic acid amplification test (NAAT) specifically positive for Nasopharngeal swab (NPS) or   Oropharyngeal swab (OPS) Reverse Transcriptase                  Polymerase Chain Reaction (RT PCR) test. </p>
        <p>The chest radiographs were interpreted by a board certified radiologist and for the purposes of the study, pneumonia was defined as the presence of a              radiographic infiltrate in the lung parenchyma, by Chest X ray or Chest CT scan. No exclusion criteria were                       documented.</p>
        <p>The clinical outcome of the present study was to evaluate the use of ferritin level as indicator of in hospital mortality in patients with COVID-19 pneumonia.</p>
      </sec>
      <sec id="idm1849352596">
        <title>Data Collection </title>
        <p>In this study, all patients were initially assessed in the Emergency Department where a blood sample was drawn and Chest radiograph was performed. Information from each patient was collected from Medical Electronic Diagnostic Imaging System (MEDISYS) at hospital               admission including demographic data, co morbidities, and epidemiologic characteristics. Ferritin values were reviewed by the authors who extracted the data and checked by simultaneously. If data were missing from the records or clarification was needed, we obtained data by direct communication with attending doctors and other healthcare provider. The patient’s data privacy and                   confidentiality was strictly observed by putting password enhanced files during and after data collection.</p>
      </sec>
    </sec>
    <sec id="idm1849353964" sec-type="subjects">
      <title>Patients and Method</title>
      <sec id="idm1849352452">
        <title>Inclusion Criteria</title>
        <p>Filipino adult patient aged 19 to 65 years of age, who were admitted at World Citi Medical Center with RT PCR SARS CoV -2 positive result, pneumonia by Chest                  X-ray or Chest CT scan, and ferritin level results.</p>
      </sec>
      <sec id="idm1849352020">
        <title>Exclusion Criteria</title>
        <p>Patients with positive NPS/OPS for SARS CoV2 but with no evidence of pneumonia either by Chest X-ray or Chest CT scan, inconclusive serum ferritin results (i.e values reported in &gt;1000ng/ml or &lt;1000ng/ml), and              patients who were not able to complete their                              hospitalization (i.e. transferred to other hospital or                 discharged against medical advice) or exceeded 30 days of                          hospitalization were all excluded (See <xref ref-type="fig" rid="idm1843054812">figure 1</xref>).</p>
        <fig id="idm1843054812">
          <label>Figure 1.</label>
          <caption>
            <title> Summary of Data extraction, Inclusion and Exclusion criteria. </title>
          </caption>
          <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1849335164">
        <title>Sample Size</title>
        <p>A minimum of seventy eight (78) patients were required for this study to predict thirty (30) days                      mortality among patients with COVID-19 pneumonia with 5% margin of error and 95% level of significance.</p>
      </sec>
      <sec id="idm1849335956">
        <title>Data Extraction </title>
        <p>We identified more than one thousand one                  hundred eighty three (1,183) patients by electronic search of which five hundred fifty (550) patients were excluded due to negative SARS CoV-2 RT PCR results. We retrieved the patient’s data for the remaining six hundred                     thirty-three (633) patients. Patients with positive RT PCR for SARS-CoV-2 but no evidence of pneumonia either by Chest Xray and Chest CT scan (56 patients); Inconclusive serum ferritin results (205 patients); patient below 19 years of age, and above 65 years of age (280 patients); patients who were not able to complete their                           hospitalization or exceeded 30 days of stay in hospital            (13 patients) were all excluded. We retrieved the charts of the remaining patients who met all of inclusion criteria (79 patients) and were analyzed. (Figure 1)</p>
      </sec>
      <sec id="idm1849335740">
        <title>Characteristics and demographics of the study population</title>
        <p>A total of seventy nine (79) were included in this study. Patients aged 19 to 65 years (mean 45) were                 distributed evenly across different age groups. There was predominance of male gender (n= 46, 58.2%) than female (n= 33 (41.8%). Non-smokers (n=61, 77.2%) than                smokers (n=18,22.78%) were observed. Their ferritin      levels were discussed and correlated. (<xref ref-type="table" rid="idm1843060932">Table 1</xref>).</p>
        <table-wrap id="idm1843060932">
          <label>Table 1.</label>
          <caption>
            <title> Laboratory finding</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td> </td>
                <td>Total</td>
                <td>Non-survivors</td>
                <td>Survivors</td>
                <td> </td>
                <td colspan="2">Univariable analysis</td>
              </tr>
              <tr>
                <td> </td>
                <td>(n=79)</td>
                <td>(n=14)</td>
                <td>(n-65)</td>
                <td>P value</td>
                <td>OR (95% CI)</td>
                <td>P value</td>
              </tr>
              <tr>
                <td>Ferritin</td>
                <td>709.16</td>
                <td>1437.07</td>
                <td>823.15</td>
                <td>&lt;0.0001</td>
                <td>0.219 (0.18 to 0.82)</td>
                <td>&lt;0.0001</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec id="idm1849319076">
      <title>Statistical Analysis</title>
      <p>To summarize the demographic and clinical              characteristics of the patients, descriptive statistic was used. Descriptive statistics were used to summarize the data in the form of frequency, percentage, mean and                     median ± interquartile range (IQR). Continuous variables were summarized as median (IQR) and categorical                variables as absolute frequency. Summary statistics were performed for these data and grouping patients in               survivors and non survivors in correlation to ferritin               levels.   A 5% significance level was used to test the               results. Statistical analyses were performed using SPSS version 27 (SPSS) and R software. P values were                    calculated from the z value obtained. Differences between those groups were evaluated using Mann Whitney U test for quantitative variables and fischer’s exact test for                 categorical variables. (<xref ref-type="table" rid="idm1843030068">Table 2</xref>).</p>
      <table-wrap id="idm1843030068">
        <label>Table 2.</label>
        <caption>
          <title> Demographics (% and median value (IQR))</title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td> </td>
              <td>Total</td>
              <td>Non-survivors</td>
              <td>FLNS</td>
              <td>Survivors</td>
              <td>FLS</td>
              <td> </td>
              <td colspan="2">Univariable analysis</td>
            </tr>
            <tr>
              <td> </td>
              <td>(n=79)</td>
              <td>(n=14 or 17.7%)</td>
              <td>(ng/ml)</td>
              <td>(n-65 or 82.3%)</td>
              <td>(ng/ml)</td>
              <td>P value</td>
              <td>OR (95% CI)</td>
              <td>P value</td>
            </tr>
            <tr>
              <td>
                <bold>Demographics</bold>
              </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>Age (years)</td>
              <td>45 (19-65)</td>
              <td>48 (19-65)</td>
              <td>1399.10</td>
              <td>49 (24-64)</td>
              <td>    1300.4</td>
              <td>0.9473</td>
              <td>0.14 (3.87 to 26.77)</td>
              <td>0.9823</td>
            </tr>
            <tr>
              <td>Male (%)</td>
              <td>58.20%</td>
              <td>71.40%</td>
              <td>1645.75</td>
              <td>55.38%</td>
              <td>823.5</td>
              <td>&lt;0.0001</td>
              <td>1.29 (1.4 to 1.8)</td>
              <td>&lt;0.0001</td>
            </tr>
            <tr>
              <td>Female</td>
              <td>41.80%</td>
              <td>28.57%</td>
              <td>1069.75</td>
              <td>44.62%</td>
              <td>823.15</td>
              <td>&lt;0.0001</td>
              <td>1.59 (2.2 to 3.5)</td>
              <td>&lt;0.0001</td>
            </tr>
            <tr>
              <td>
                <bold>Smokers</bold>
              </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
              <td> </td>
            </tr>
            <tr>
              <td>Smoker</td>
              <td>22.78%</td>
              <td>21.43%</td>
              <td>1523.5</td>
              <td>23.08%</td>
              <td>1489.6</td>
              <td>0.9132</td>
              <td>1.08 (4.33 to 4.67)</td>
              <td>0.916</td>
            </tr>
            <tr>
              <td>Non smoker</td>
              <td>77.22%</td>
              <td>78.57%</td>
              <td>823.5</td>
              <td>76.92%</td>
              <td>820.5</td>
              <td>0.9132</td>
              <td>0.98 (1.27 to 1.3)</td>
              <td>0.9120</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec id="idm1849256916" sec-type="results">
      <title>Results</title>
      <p>Demographics and co morbidities for seventy nine (79) COVID 19 infections, who were admitted at World Citi Medical Center were included for analysis.             Clinical characteristics are summarized in <xref ref-type="table" rid="idm1843030068">table 2</xref> and              ferritin results are presented in <xref ref-type="table" rid="idm1843060932">table 1</xref>.</p>
      <p>Fourteen (17.7%) patients did not survive the thirty (30) days hospitalization. At the time of hospital admission, their baseline characteristics and differences were monitored in correlation with ferritin levels between patients who died and those who survived and discharged, including  age  48  (19 - 65)  vs  49  (24-64),  with mean ferrin level for non survivor (FLNS) of  1399.10ng/ml vs among ferritin level of survivors (FLS) 1300.4 ng/ml                respectively, OR 0.14; 95%( CI 3.87 to 26.77; p=0.9823), sex  71.40% vs 55.38% males, with mean FLNS of 1645.75ng/ml vs 823.5 FLS respectively, OR 1.29  95%   (CI 1.4 to 1.8; p=0.0001), 28.57% vs  44.62 % females, with mean FLNS of 1069ng/ml  vs 823.15ng/ml FLS                 respectively, OR 1.59 95% (2.2 to 3.5; p=&lt;0.0001) and smokers 21.43% vs 23.08, with FLNS of 1523.5ng/ml vs 1489.6ng/ml FLS, OR 1.08 95% (CI 4.33 to 4.67 p=0.9132); non-smokers 78.57% vs 76.92%, with mean FLNS 823.5ng/ml vs 820.5 ng/ml FLS, OR 0.98 95%                   (CI 1.27 to 1.3 p=0.916)  (<xref ref-type="table" rid="idm1843030068">table 2</xref>).</p>
      <p>Specific comorbidities were also correlated to serum ferritin level. (<xref ref-type="table" rid="idm1842908092">Table 3</xref>), such as   Hypertensive              atherosclerotic cardiovascular disease (HASCVD)  with mean ferritin level of 1187.78 ng/ml, five (5) patients out of eighteen (18) patients  in this group did not survived with FLNS 1532.2ng/ml vs 623.5ng/ml FLS respectively with p value of &lt;0.0001. Type 2 Diabetes mellitus with mean ferritin level of 1261.75 ng/ml, three (3) patients out of sixteen (16) patients did not survived with FLNS 1543ng/ml vs 1023.2 FLS with p value of &lt;0.0001. Chronic Kidney Disease (with or without maintainance dialysis)with mean ferritin level of 1247.2 ng/ml, four (4) patients out of five (5) patients did not survived with FLNS of 1343.33ng/ml vs 1103ng/ml FLS respectively with p               value of  &lt;0.0001. These top three co morbidities gave a significant impact to thirty (30) days in hospital mortality. </p>
      <p>According to our results, consistent with                     previously published studies related to this paper, ferritin is associated with in hospital mortality as it is higher at the baseline admission of non-survivor patients and     maintains significance after multivariable adjustment. With ferritin level of 1437.07ng/ml, poor clinical outcome and possible in hospital mortality was considered.                 (<xref ref-type="table" rid="idm1843060932">Table 1</xref>). We also observed that demographics and co morbidities of patients in this study were significant to predict thirty (30) days in hospital mortality. Further               sub-analysis of co morbidities, HASCVD, Type 2 Diabetes Mellitus, Chronic kidney disease, Liver disease, Chronic Obstructive Pulmonary Disease and Cerebrovascular                  disease showed poor outcome which were directly related to ferritin levels with p value of &lt;0.0001. (<xref ref-type="table" rid="idm1842908092">Table 3</xref>).</p>
      <table-wrap id="idm1842908092">
        <label>Table 3.</label>
        <caption>
          <title> Comorbidities (% and median value (IQR) </title>
        </caption>
        <table rules="all" frame="box">
          <tbody>
            <tr>
              <td>COMORBIDITIES</td>
              <td>N</td>
              <td>Fer.Level Mean</td>
              <td>NS</td>
              <td>FLNS</td>
              <td>S</td>
              <td>FLS</td>
              <td>P value</td>
              <td colspan="2">Unvariable Analysis</td>
            </tr>
            <tr>
              <td/>
              <td/>
              <td/>
              <td/>
              <td/>
              <td/>
              <td/>
              <td/>
              <td>OR</td>
              <td>P value</td>
            </tr>
            <tr>
              <td>Hypertensive atherosclerotic cardiovascular disease (HASCVD)</td>
              <td>18</td>
              <td>1187.78</td>
              <td>
                <italic>5(27%)</italic>
              </td>
              <td>
                <italic>1523.2</italic>
              </td>
              <td>
                <italic>13(73%)</italic>
              </td>
              <td>623.5</td>
              <td>0.0003</td>
              <td>1.3</td>
              <td>&lt;0.0001</td>
            </tr>
            <tr>
              <td>Chronic kidney Disease</td>
              <td>5</td>
              <td>1247.2</td>
              <td>4 (80%)</td>
              <td>1343.33</td>
              <td>1 (20%)</td>
              <td>1103</td>
              <td>&lt;0.0001</td>
              <td>0.13</td>
              <td>&lt;0.0001</td>
            </tr>
            <tr>
              <td>Diabetes mellitus</td>
              <td>16</td>
              <td>1261.75</td>
              <td>3 (19%)</td>
              <td>1543</td>
              <td>13 (81%)</td>
              <td>1023.2</td>
              <td>0.00023</td>
              <td>2.2</td>
              <td>&lt;0.0001</td>
            </tr>
            <tr>
              <td>Chronic Obstructive                         Pulmonary Disease (COPD)</td>
              <td>2</td>
              <td>1264.5</td>
              <td>1 (50%)</td>
              <td>1264.5</td>
              <td>1 (50%)</td>
              <td>1264.5</td>
              <td>1</td>
              <td>0.5</td>
              <td>&lt;0.0001</td>
            </tr>
            <tr>
              <td>Cerebrovascular Disease</td>
              <td>3</td>
              <td>1370.67</td>
              <td>2 (67%)</td>
              <td>1498.5</td>
              <td>1 (33%)</td>
              <td>1115</td>
              <td>&lt;0.0001</td>
              <td>0.25</td>
              <td>&lt;0.0001</td>
            </tr>
            <tr>
              <td>Liver pathology (cirrhosis)</td>
              <td>3</td>
              <td>496.7</td>
              <td>1 (33%)</td>
              <td>1000</td>
              <td>2 (67%)</td>
              <td>583</td>
              <td>&lt;0.0001</td>
              <td>1</td>
              <td>&lt;0.0001</td>
            </tr>
            <tr>
              <td>Human Immunodeficiency virus (HIV)</td>
              <td>1</td>
              <td>1639</td>
              <td>1 (100%)</td>
              <td>1639</td>
              <td>0</td>
              <td>0</td>
              <td>&lt;0.0001</td>
              <td>NA</td>
              <td>N/A</td>
            </tr>
            <tr>
              <td>Pulmonary Tuberculosis (PTB)</td>
              <td>3</td>
              <td>853.33</td>
              <td>0</td>
              <td>0</td>
              <td>3 (100%)</td>
              <td>853.33</td>
              <td>&lt;0.0001</td>
              <td>NA</td>
              <td>N/A</td>
            </tr>
            <tr>
              <td>Bronchial asthma</td>
              <td>2</td>
              <td>496.5</td>
              <td>0</td>
              <td>0</td>
              <td>2 (100%)</td>
              <td>496.5</td>
              <td>&lt;0.0001</td>
              <td>NA</td>
              <td>N/A</td>
            </tr>
            <tr>
              <td>Dilated cardiomyopathy</td>
              <td>1</td>
              <td>1460</td>
              <td>1 (100%)</td>
              <td>1460</td>
              <td>0</td>
              <td>0</td>
              <td>&lt;0.0001</td>
              <td>N/A</td>
              <td>N/A</td>
            </tr>
            <tr>
              <td>Hyperthyroidism</td>
              <td>1</td>
              <td>110</td>
              <td>0</td>
              <td>0</td>
              <td>1 (100%)</td>
              <td>110</td>
              <td>&lt;0.0001</td>
              <td>NA</td>
              <td>N/A</td>
            </tr>
            <tr>
              <td>Cancer (breast)</td>
              <td>2</td>
              <td>866.12</td>
              <td>0</td>
              <td>0</td>
              <td>2 (100%)</td>
              <td>866.2</td>
              <td>&lt;0.0001</td>
              <td>NA</td>
              <td>N/A</td>
            </tr>
            <tr>
              <td>Obstructive sleep apnea (OSA)</td>
              <td>1</td>
              <td>978</td>
              <td>0</td>
              <td>0</td>
              <td>1 (100%)</td>
              <td>978</td>
              <td>&lt;0.0001</td>
              <td>NA</td>
              <td>N/A</td>
            </tr>
            <tr>
              <td>Acute coronary syndrome</td>
              <td>2</td>
              <td>1675</td>
              <td>2 (100%)</td>
              <td>1675</td>
              <td>0</td>
              <td>0</td>
              <td>&lt;0.0001</td>
              <td>NA</td>
              <td>N/A</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="idm1849196660">
            <label/>
            <p>*FLNS- Ferritin levels in non survivors*FLS- Ferritin levels of survivors; NS non survivors; S- Survivors</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p> </p>
    </sec>
    <sec id="idm1849197740" sec-type="discussion">
      <title>Discussion</title>
      <p>At present, the pathophysiology, disease                   evolution, diagnosis and prognosis of patients with COVID 19 pneumonia are still unclear. In one study Dahan,                 et al,<xref ref-type="bibr" rid="ridm1842294412">7</xref> they concluded that elevated ferritin levels were shown to correlate with disease severity  in 39 patients from Israel with confirmed COVID 19 infection. Severe patients had significantly higher level of ferritin (2817.6ng/ml) compared to non-severe patient     (708.6ng/ml) p=0.02. In another released study of Moudhi et al,<xref ref-type="bibr" rid="ridm1842249484">11</xref> they concluded that elevated ferritin level &gt;1000 were found to be an independent predictor of in hospital                 mortality.  In one study of Zhoe et al,<xref ref-type="bibr" rid="ridm1842266884">9</xref> with 20                     COVID -`19 patients, it was found that individuals with severe and very severe COVID-19 exhibited increase               serum ferritin level, being serum ferritin the very severe COVID 19 group significantly higher than in the severe COVID -19 group (1006.16 ng/ml (IQR: 408.265-1988.25) vs 291.13ng/ml (IQR:102.1-648.42), respectively). In our study, we focused more on mortality outcomes to                    prognosticate patient during their admissions based on the ferritin levels. In this study, we were able to correlate the ferritin mean levels of survivors to non survivors (<xref ref-type="table" rid="idm1843060932">Table 1</xref>). At ferritin level of 1437.07 ng/ml, the prognosis of in hospital mortality may be predicted. Ferritin levels and prognostication of in hospital mortality may differ based on the co - morbidities at the time of admission (<xref ref-type="table" rid="idm1842908092">Table 3</xref>). Hypertensive Atherosclerosis Cardiovascular disease, Chronic kidney disease and Type 2 Diabetes     Mellitus were the top three diseases that affect the                 mortality of the patient.  Among other diseases listed in this table (<xref ref-type="table" rid="idm1842908092">Table 3</xref>), these three mentioned diseases got the higher levels of ferritin aside from acute coronary     syndrome and cerebrovascular disease. In light of this   data, we postulated that ferritin levels can be used as prognostic factor for in-hospital mortality. In plasma,           ferritin circulates as apoferritin, a non-iron containing molecule. The plasma level generally reflects overall iron storage, with 1ng of ferritin per ml indicating                       approximately 10mg of total iron stores<xref ref-type="bibr" rid="ridm1842307748">5</xref>. Due to its              crucial role in cellular iron hemostasis, it is not surprising that ferritin synthesis is tightly regulated<xref ref-type="bibr" rid="ridm1842302636">6</xref>. It has been well established that elevated serum ferritin levels may suggest not only the presence of an iron overload state but is also a marker for inflammatory, autoimmune, infectious or malignant conditions.<xref ref-type="bibr" rid="ridm1842294412">7</xref>. The pathogenicity of the              novel SARSCoV-2 and its effects on the immune system has yet not been completely understood. However, some studies with evidence suggest that severe progressive COVID-19 disease is associated with uncontrolled                   inflammation and massive cytokine release <xref ref-type="bibr" rid="ridm1842294412">7</xref>. It is also associated with immunological abnormalities, including cytokine storm and hyperferritinemia. <xref ref-type="bibr" rid="ridm1842265588">8</xref>. In agreement with this, another study revealed that in patients who died by COVID -19, ferritin levels were high upon hospital              admission and throughout the hospital stay<xref ref-type="bibr" rid="ridm1842253516">10</xref>. From these collected data, we postulated that ferritin level on the day of admission, can be used as prognostic marker of hospital mortality of COVID 19 pneumonia. .<xref ref-type="bibr" rid="ridm1842246892">12</xref></p>
    </sec>
    <sec id="idm1849140860" sec-type="conclusions">
      <title>Conclusion</title>
      <p>This study has demonstrated that elevated                ferritin levels were shown to correlate with 30 day in               hospital mortality among seventy-nine (79) patients             admitted at World Citi Medical Center. Ferritin is readily available, measurable, cost effective and reliable test that could be very useful in establishing the risk of hospital mortality and guiding therapeutic decision in patient with COVID 19 infection. Patients who have medical                     comorbidities such as Hypertensive Cardiovascular                 disease, Type 2 Diabetes Mellitus, and chronic kidney              disease have shown significant evidence for possible in hospital mortality. .<xref ref-type="bibr" rid="ridm1842243364">13</xref><xref ref-type="bibr" rid="ridm1842236396">14</xref><xref ref-type="bibr" rid="ridm1842232148">15</xref></p>
    </sec>
    <sec id="idm1849141508">
      <title>Recommendation</title>
      <p>More studies with higher populations will be needed to support the use of ferritin levels as marker for 30 days in hospital mortality for COVID 19 pneumonia. A larger multicenter cohort study from various hospitals of the country would help to further validate the findings of our study, however, with the evidence we have, serum ferritin levels could be implemented in the prognostic evaluation of in hospital mortality for COVID 19                       pneumonia. Further studies are needed to evaluate if high values of serum ferritin in patient with COVID 19                  pneumonia could be related to other comorbidities and optimum timing of ferritin analysis could improve                   outcomes. It would be useful to have an exact value of    serum ferritin levels in our institution rather than               repeated values of &gt;1000 would be helpful. .<xref ref-type="bibr" rid="ridm1842230276">16</xref><xref ref-type="bibr" rid="ridm1842224516">17</xref></p>
    </sec>
    <sec id="idm1849140428">
      <title>Limitations</title>
      <p>The study is limited by data from single center with moderate to critically ill COVID 19 pneumonia which may introduce a selection bias and inflate the mortality. Hence result from this study may help in the risk                      stratification and management of similar moderate to  critically ill pneumonia only. COVID-19 pneumonia is a complex and not yet well established disease and it should be mentioned that other factors could influence final            outcome. <xref ref-type="bibr" rid="ridm1842205036">18</xref><xref ref-type="bibr" rid="ridm1842202516">19</xref></p>
    </sec>
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