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Clinical predictors of mortality of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) infection: A cohort study

Identifieur interne : 001157 ( Pmc/Corpus ); précédent : 001156; suivant : 001158

Clinical predictors of mortality of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) infection: A cohort study

Auteurs : Sarah H. Alfaraj ; Jaffar A. Al-Tawfiq ; Ayed Y. Assiri ; Nojoom A. Alzahrani ; Amal A. Alanazi ; Ziad A. Memish

Source :

RBID : PMC:7110962

Abstract

Background

Since the emergence of the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in 2012, the virus had caused a high case fatality rate. The clinical presentation of MERS varied from asymptomatic to severe bilateral pneumonia, depending on the case definition and surveillance strategies. There are few studies examining the mortality predictors in this disease. In this study, we examined clinical predictors of mortality of Middle East Respiratory Syndrome (MERS) infection.

Methods

This is a retrospective analysis of symptomatic admitted patients to a large tertiary MERS-CoV center in Saudi Arabia over the period from April 2014 to March 2018. Clinical and laboratory data were collected and analysis was done using a binary regression model.

Results

A total of 314 symptomatic MERS-CoV patients were included in the analysis, with a mean age of 48 (±17.3) years. Of these cases, 78 (24.8%) died. The following parameters were associated with increased mortality, age, WBC, neutrophil count, serum albumin level, use of a continuous renal replacement therapy (CRRT) and corticosteroid use. The odd ratio for mortality was highest for CRRT and corticosteroid use (4.95 and 3.85, respectively). The use of interferon-ribavirin was not associated with mortality in this cohort.

Conclusion

Several factors contributed to increased mortality in this cohort of MERS-CoV patients. Of these factors, the use of corticosteroid and CRRT were the most significant. Further studies are needed to evaluate whether these factors were a mark of severe disease or actual contributors to higher mortality.


Url:
DOI: 10.1016/j.tmaid.2019.03.004
PubMed: 30872071
PubMed Central: 7110962

Links to Exploration step

PMC:7110962

Le document en format XML

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</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Travel Med Infect Dis</journal-id>
<journal-id journal-id-type="iso-abbrev">Travel Med Infect Dis</journal-id>
<journal-title-group>
<journal-title>Travel Medicine and Infectious Disease</journal-title>
</journal-title-group>
<issn pub-type="ppub">1477-8939</issn>
<issn pub-type="epub">1873-0442</issn>
<publisher>
<publisher-name>Elsevier Ltd.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">30872071</article-id>
<article-id pub-id-type="pmc">7110962</article-id>
<article-id pub-id-type="publisher-id">S1477-8939(18)30382-X</article-id>
<article-id pub-id-type="doi">10.1016/j.tmaid.2019.03.004</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Clinical predictors of mortality of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) infection: A cohort study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" id="au1">
<name>
<surname>Alfaraj</surname>
<given-names>Sarah H.</given-names>
</name>
<xref rid="aff1" ref-type="aff">a</xref>
<xref rid="aff2" ref-type="aff">b</xref>
<xref rid="aff3" ref-type="aff">c</xref>
</contrib>
<contrib contrib-type="author" id="au2">
<name>
<surname>Al-Tawfiq</surname>
<given-names>Jaffar A.</given-names>
</name>
<xref rid="aff4" ref-type="aff">d</xref>
<xref rid="aff5" ref-type="aff">e</xref>
<xref rid="aff6" ref-type="aff">f</xref>
</contrib>
<contrib contrib-type="author" id="au3">
<name>
<surname>Assiri</surname>
<given-names>Ayed Y.</given-names>
</name>
<xref rid="aff7" ref-type="aff">g</xref>
</contrib>
<contrib contrib-type="author" id="au4">
<name>
<surname>Alzahrani</surname>
<given-names>Nojoom A.</given-names>
</name>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au5">
<name>
<surname>Alanazi</surname>
<given-names>Amal A.</given-names>
</name>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au6">
<name>
<surname>Memish</surname>
<given-names>Ziad A.</given-names>
</name>
<email>zmemish@yahoo.com</email>
<xref rid="aff8" ref-type="aff">h</xref>
<xref rid="aff9" ref-type="aff">i</xref>
<xref rid="aff10" ref-type="aff">j</xref>
<xref rid="cor1" ref-type="corresp"></xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>a</label>
Corona Center, Prince Mohamed Bin Abdulaziz Hospital, Ministry of Health, Riyadh, Saudi Arabia</aff>
<aff id="aff2">
<label>b</label>
Infectious Diseases Division, Department of Pediatrics, Prince Mohamed Bin Abdulaziz Hospital, Ministry of Health, Riyadh, Saudi Arabia</aff>
<aff id="aff3">
<label>c</label>
University of British Columbia, Vancouver, BC, Canada</aff>
<aff id="aff4">
<label>d</label>
Speciality Internal Medicine Unit and Quality Department, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia</aff>
<aff id="aff5">
<label>e</label>
Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA</aff>
<aff id="aff6">
<label>f</label>
Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA</aff>
<aff id="aff7">
<label>g</label>
Critical Care Department, Prince Mohammed Bin Abdulaziz Hospital, Ministry of Health, Saudi Arabia</aff>
<aff id="aff8">
<label>h</label>
College of Medicine, Alfaisal University, Riyadh, Saudi Arabia</aff>
<aff id="aff9">
<label>i</label>
Infectious Diseases Division, Department of Medicine, Department of Research, Prince Mohamed Bin Abdulaziz Hospital, Ministry of Health, Riyadh, Saudi Arabia</aff>
<aff id="aff10">
<label>j</label>
Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA</aff>
<author-notes>
<corresp id="cor1">
<label></label>
Corresponding author. College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
<email>zmemish@yahoo.com</email>
</corresp>
</author-notes>
<pub-date pub-type="pmc-release">
<day>11</day>
<month>3</month>
<year>2019</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="ppub" iso-8601-date="2019-06-01">
<season>May-June</season>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>11</day>
<month>3</month>
<year>2019</year>
</pub-date>
<volume>29</volume>
<fpage>48</fpage>
<lpage>50</lpage>
<history>
<date date-type="received">
<day>29</day>
<month>10</month>
<year>2018</year>
</date>
<date date-type="rev-recd">
<day>25</day>
<month>2</month>
<year>2019</year>
</date>
<date date-type="accepted">
<day>6</day>
<month>3</month>
<year>2019</year>
</date>
</history>
<permissions>
<copyright-statement>© 2019 Elsevier Ltd. All rights reserved.</copyright-statement>
<copyright-year>2019</copyright-year>
<copyright-holder></copyright-holder>
<license>
<license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p>
</license>
</permissions>
<abstract id="abs0010">
<sec>
<title>Background</title>
<p>Since the emergence of the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in 2012, the virus had caused a high case fatality rate. The clinical presentation of MERS varied from asymptomatic to severe bilateral pneumonia, depending on the case definition and surveillance strategies. There are few studies examining the mortality predictors in this disease. In this study, we examined clinical predictors of mortality of Middle East Respiratory Syndrome (MERS) infection.</p>
</sec>
<sec>
<title>Methods</title>
<p>This is a retrospective analysis of symptomatic admitted patients to a large tertiary MERS-CoV center in Saudi Arabia over the period from April 2014 to March 2018. Clinical and laboratory data were collected and analysis was done using a binary regression model.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 314 symptomatic MERS-CoV patients were included in the analysis, with a mean age of 48 (±17.3) years. Of these cases, 78 (24.8%) died. The following parameters were associated with increased mortality, age, WBC, neutrophil count, serum albumin level, use of a continuous renal replacement therapy (CRRT) and corticosteroid use. The odd ratio for mortality was highest for CRRT and corticosteroid use (4.95 and 3.85, respectively). The use of interferon-ribavirin was not associated with mortality in this cohort.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Several factors contributed to increased mortality in this cohort of MERS-CoV patients. Of these factors, the use of corticosteroid and CRRT were the most significant. Further studies are needed to evaluate whether these factors were a mark of severe disease or actual contributors to higher mortality.</p>
</sec>
</abstract>
</article-meta>
</front>
<body>
<sec id="sec1">
<label>1</label>
<title>Introduction</title>
<p id="p0010">The emergence of the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in late 2012 caused a significant global public and clinical concern due to the disease high case fatality rate and the inability to distinguish cases of MERS-CoV from other severe respiratory tract infections caused by other pathogens [
<xref rid="bib1" ref-type="bibr">[1]</xref>
,
<xref rid="bib2" ref-type="bibr">[2]</xref>
,
<xref rid="bib3" ref-type="bibr">[3]</xref>
,
<xref rid="bib4" ref-type="bibr">[4]</xref>
]. One study found that monocytosis with normal WBC and lower C-reactive protein (CRP) are useful predictors of MERS-CoV infection [
<xref rid="bib4" ref-type="bibr">4</xref>
]. The clinical presentation of MERS varied from asymptomatic to severe bilateral pneumonia, depending on the case definition and surveillance strategies [
<xref rid="bib5" ref-type="bibr">[5]</xref>
,
<xref rid="bib6" ref-type="bibr">[6]</xref>
,
<xref rid="bib7" ref-type="bibr">[7]</xref>
]. The case fatality rate of MERS-CoV has changed over the last 6 years, depending on the outbreak and its timing, comprehensiveness of the surveillance program (to include mild and asymptomatic cases) and the country of the report from 28.6% to 63.6% [
<xref rid="bib8" ref-type="bibr">8</xref>
]. A lower case fatality rates were reported from a MERS-CoV reference center in Riyadh, Saudi Arabia [
<xref rid="bib9" ref-type="bibr">9</xref>
] and from the South Korea's outbreak [
<xref rid="bib10" ref-type="bibr">10</xref>
,
<xref rid="bib11" ref-type="bibr">11</xref>
]. When compared to severe respiratory infections caused by non-MER-CoV, the case fatality rate was higher in MERS than non-MERS cases [
<xref rid="bib1" ref-type="bibr">1</xref>
,
<xref rid="bib9" ref-type="bibr">9</xref>
]. Six years into the MERS-CoV epidemic, there are few studies addressing the clinical predictors of mortality in MERS-CoV cases [
<xref rid="bib11" ref-type="bibr">11</xref>
,
<xref rid="bib12" ref-type="bibr">12</xref>
]. MERS-CoV had caused concern among travelers, however, MERS-CoV infection was reported infrequently among pilgrims performing Umrah [
<xref rid="bib13" ref-type="bibr">13</xref>
,
<xref rid="bib14" ref-type="bibr">14</xref>
]. There were reports of more than 20 travel-related MERS-CoV cases [
<xref rid="bib13" ref-type="bibr">13</xref>
]. A single case of travel associated MERS-CoV infections caused the largest outbreak outside the Arabian Peninsula in South Korea [
<xref rid="bib13" ref-type="bibr">13</xref>
,
<xref rid="bib15" ref-type="bibr">[15]</xref>
,
<xref rid="bib16" ref-type="bibr">[16]</xref>
,
<xref rid="bib17" ref-type="bibr">[17]</xref>
]. In a systematic review of pilgrims, acquisition of MERS-CoV was very limited and systematic screening of pilgrims showed no infections [
<xref rid="bib18" ref-type="bibr">18</xref>
]. There had been no asymptomatic MERS-CoV cases among travelers despite a high proportion in non-travelers [
<xref rid="bib19" ref-type="bibr">19</xref>
]. A recent study included confirmed cases who were admitted to this hospital in 2014–2015 and found independent predictors of survival as younger age, not being transferred to the ICU and not receiving renal replacement therapy [
<xref rid="bib20" ref-type="bibr">20</xref>
]. Here, we evaluate a larger number of cases over a longer period of time.</p>
</sec>
<sec id="sec2">
<label>2</label>
<title>Materials and methods</title>
<p id="p0015">All symptomatic MERS-CoV confirmed patients who were admitted to a referral hospital in the central part of Saudi Arabia from April 2014 to March 2018 were included in the study. Asymptomatic cases (N = 38) were excluded. Prince Mohammed bin Abdulaziz Hospital (PMAH) is a referral center for all MERS-CoV patients diagnosed in the central region based in Riyadh, Saudi Arabia. All infections were confirmed using real time RT-PCR of respiratory samples as described previously [
<xref rid="bib21" ref-type="bibr">21</xref>
,
<xref rid="bib22" ref-type="bibr">22</xref>
]. Data on the following parameters were collected: demographic data: age, gender, height and weight, clinical: presence of shortness of breath, cough, sore throat and fever, laboratory results (WBC, hemoglobin, platelet, neutrophil, hepatic function tests (ALT, AST), Creatinine and Albumin, and medical interventions: plasmapheresis, use of intravenous immunoglobulin, Extra Corporal Mechanical Oxygenation (ECMO), and a continuous renal replacement therapy (CRRT), interferon-ribavirin, and corticosteroid use.</p>
</sec>
<sec id="sec3">
<label>3</label>
<title>Statistics</title>
<p id="p0020">Statistical analysis was done using Minitab
<sup>®</sup>
(Minitab Inc. Version 17. PA 16801, USA; 2017). Descriptive analyses were used for demographic, clinical and laboratory data. Bivariate analysis described the association of status of outcome and various clinical and laboratory parameters. We then utilized the binary logistic regression analysis with a backward stepwise approach to analyze the outcome in relation to continuous and categorical variables. The odds ratio was calculated for significantly associated variables. A P-value of less than 0.05 indicates statistical significance.</p>
</sec>
<sec id="sec4">
<label>4</label>
<title>Results</title>
<p id="p0025">A total of 314 symptomatic MERS patients were included in the analysis, with a mean age of 48 (±17.3) years. Of these cases, 78 (24.8%) died.
<xref rid="tbl1" ref-type="table">Table 1</xref>
shows identified parameters to be associated with mortality. In binary logistic regression analysis with a backward stepwise approach the following parameters were associated with increased mortality, age, increased WBC, and neutrophil count, lower serum albumin level, use of CRRT and corticosteroid use. The odd ratio for mortality was highest for CRRT and corticosteroid use (4.95 and 3.85, respectively). The use of interferon-ribavirin was not associated with mortality in this cohort. The majority of patients received methyl-prednisone with variable doses and duration (see
<xref rid="tbl2" ref-type="table">Table 2</xref>
).
<table-wrap position="float" id="tbl1">
<label>Table 1</label>
<caption>
<p>Base line characteristics in patients with Middle East respiratory syndrome Coronavirus (MERS-CoV) infection.</p>
</caption>
<alt-text id="alttext0015">Table 1</alt-text>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th></th>
<th>Alive</th>
<th>Deceased</th>
<th>P value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Age (years)</td>
<td align="left">45.7 ± 16.5</td>
<td align="left">56.3 ± 17.6</td>
<td align="left">0.0001</td>
</tr>
<tr>
<td align="left">Temperature (
<sup>0</sup>
C)</td>
<td align="left">37.1 ± 0.8</td>
<td align="left">37.3 ± 0.6</td>
<td align="left">0.1037</td>
</tr>
<tr>
<td align="left">WBC (×10ˆ9/L)</td>
<td align="left">6.8 ± 3.8</td>
<td align="left">9.5 ± 5.9</td>
<td align="left">0.0001</td>
</tr>
<tr>
<td align="left">Hgb (g/dl)</td>
<td align="left">13.3 ± 2.5</td>
<td align="left">11.3 ± 2.6</td>
<td align="left">0.0001</td>
</tr>
<tr>
<td align="left">Platelet (×10ˆ9/L)</td>
<td align="left">227.3 ± 102.8</td>
<td align="left">216.8 ± 113.8</td>
<td align="left">0.405</td>
</tr>
<tr>
<td align="left">Neutrophil (×10ˆ9/L)</td>
<td align="left">4.5 ± 3.2</td>
<td align="left">8.1 ± 5.7</td>
<td align="left">0.0001</td>
</tr>
<tr>
<td align="left">CK (U/l)</td>
<td align="left">1051.7 ± 4565</td>
<td align="left">712.7 ± 1132.6</td>
<td align="left">0.537</td>
</tr>
<tr>
<td align="left">ALT (U/l)</td>
<td align="left">68 ± 171</td>
<td align="left">72.7 ± 124</td>
<td align="left">0.815</td>
</tr>
<tr>
<td align="left">AST (U/l)</td>
<td align="left">88.75 ± 184</td>
<td align="left">162.9 ± 25</td>
<td align="left">0.0028</td>
</tr>
<tr>
<td align="left">Creatinine (mg/dl)</td>
<td align="left">126.8 ± 216</td>
<td align="left">253.6 ± 273</td>
<td align="left">0.0001</td>
</tr>
<tr>
<td align="left">Albumin (g/dl)</td>
<td align="left">35.1 ± 6.4</td>
<td align="left">28.29 ± 6</td>
<td align="left">0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>WBC=White Blood Cell count; Hgb = hemoglobin; CK = creatinine kinase; ALT = alanine aminotransferase; AST = Aspartate aminotransferase</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tbl2">
<label>Table 2</label>
<caption>
<p>Fcators associated with mortality from binary logistic regression analysis with a backward stepwise approach.</p>
</caption>
<alt-text id="alttext0020">Table 2</alt-text>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Source</th>
<th>Adjusted Dev</th>
<th>Adjusted Mean</th>
<th>Odds Ratio</th>
<th>95% CI</th>
<th>Chi-Square</th>
<th>P-Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Age (years)</td>
<td align="left">8.356</td>
<td align="left">8.3557</td>
<td align="left">1.0293</td>
<td align="left">(1.0090, 1.0500)</td>
<td align="left">8.36</td>
<td align="left">0.004</td>
</tr>
<tr>
<td align="left">  WBCS  X 10ˆ9/L</td>
<td align="left">3.298</td>
<td align="left">3.2978</td>
<td align="left">0.7515</td>
<td align="left">(0.5432, 1.0396)</td>
<td align="left">3.3</td>
<td align="left">0.069</td>
</tr>
<tr>
<td align="left">  NEUT  X 10ˆ9/L</td>
<td align="left">6.393</td>
<td align="left">6.3929</td>
<td align="left">1.5234</td>
<td align="left">(1.0714, 2.1660)</td>
<td align="left">6.39</td>
<td align="left">0.011</td>
</tr>
<tr>
<td align="left">  Albumin 33  g/L</td>
<td align="left">11.941</td>
<td align="left">11.9406</td>
<td align="left">0.9031</td>
<td align="left">(0.8502, 0.9592)</td>
<td align="left">11.94</td>
<td align="left">0.001</td>
</tr>
<tr>
<td align="left">CRRT</td>
<td align="left">11.866</td>
<td align="left">11.866</td>
<td align="left">4.9475</td>
<td align="left">(1.9660, 12.4507)</td>
<td align="left">11.87</td>
<td align="left">0.001</td>
</tr>
<tr>
<td align="left">  Corticosteroid use</td>
<td align="left">15.687</td>
<td align="left">15.6869</td>
<td align="left">3.8449</td>
<td align="left">(1.9533, 7.5685)</td>
<td align="left">15.69</td>
<td align="left">0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>WBC=White Blood Cell count; NEUT = neutrophil count; CRRT = continuous renal replacement therapy.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</p>
</sec>
<sec id="sec5">
<label>5</label>
<title>Discussion</title>
<p id="p0030">In this study, we analyzed predictors of MERS survival among a cohort of patients admitted to a referral center for MERS-CoV therapy in the capital city of Riyadh, Saudi Arabia. In this study, we included only symptomatic cases in analysis as all asymptomatic cases recovered. The reason for this exclusion is that we attempted to investigate the factors contributing to mortality in symptomatic cases. In previous studies, mild or asymptomatic disease was observed in secondary cases, in young patients, and in previously healthy individuals [
<xref rid="bib23" ref-type="bibr">23</xref>
]. It was described that as the percentage of asymptomatic patients increased to 29%, the case fatality rate decreased to 30% [
<xref rid="bib7" ref-type="bibr">7</xref>
,
<xref rid="bib12" ref-type="bibr">12</xref>
,
<xref rid="bib23" ref-type="bibr">[23]</xref>
,
<xref rid="bib24" ref-type="bibr">[24]</xref>
,
<xref rid="bib25" ref-type="bibr">[25]</xref>
,
<xref rid="bib26" ref-type="bibr">[26]</xref>
]. Of the 314 symptomatic MERS patients, 24.8% died. This rate is lower than the previously published range of 28.6%–63.6% [
<xref rid="bib8" ref-type="bibr">[8]</xref>
,
<xref rid="bib9" ref-type="bibr">[9]</xref>
,
<xref rid="bib10" ref-type="bibr">[10]</xref>
,
<xref rid="bib11" ref-type="bibr">[11]</xref>
]. Earlier studies showed high case fatality rate among symptomatic and critical ill patients [
<xref rid="bib8" ref-type="bibr">[8]</xref>
,
<xref rid="bib9" ref-type="bibr">[9]</xref>
,
<xref rid="bib10" ref-type="bibr">[10]</xref>
,
<xref rid="bib11" ref-type="bibr">[11]</xref>
].</p>
<p id="p0035">In this study we found that there are few predictors of mortality in MERS-CoV patients. Increasing age was a predictor and this is in agreement with a previous study where age ≥65 years was associated with increased mortality with an OR of 4.39 [
<xref rid="bib12" ref-type="bibr">12</xref>
]. However, in that study age was the only predictor of mortality. Older age may be associated with concurrent comorbidities and thus increasing case fatality rate. In one study, predictors of 30-day mortality included older age, non-healthcare workers, pre-existing illness, severity of illness, and hospital-acquired infections [
<xref rid="bib27" ref-type="bibr">27</xref>
]. We found that corticosteroid was associated with increased mortality. In one study, patients who received corticosteroids had a higher 90-day crude mortality of 74.2% compared to 57.6% among the comparator group [
<xref rid="bib28" ref-type="bibr">28</xref>
]. In that study, authors compared 151 MERS patients in the corticosteroid group derived from 14 different healthcare facilities and patients who received corticosteroid therapy had delayed clearance of viral RNA [
<xref rid="bib28" ref-type="bibr">28</xref>
]. It is probably the practice to use corticosteroid for patients who were not showing clinical improvements and thus might be at a higher rate of mortality to begin with.</p>
<p id="p0040">Baseline data showed that deceased patients had higher initial WBC of 9.5 ± 5.9 compared to 6.8 ± 3.8 (P = 0.0001) and had lower hemoglobin level of 11.3 ± 2.6 g/dl compared to those who survived (13.3 ± 2.5 g/dl) (P = 0.0001). In addition, deceased MERS cases had a lower albumin level of 28.29 ± 6 compared to survival group (35.1 ± 6.4) (P = 0.0001). Similarly, a previous study showed that low serum albumin was associated with severe MERS-CoV infection and may reflects nutritional status of the patients [
<xref rid="bib29" ref-type="bibr">29</xref>
].</p>
<p id="p0045">We found that CRRT was associated with higher rate of mortality among MERS patients. In a previous study, the application of CRRT was a risk factor for MERS-CoV-related mortality [
<xref rid="bib30" ref-type="bibr">30</xref>
]. Another study showed that MERS patients were more likely to require ECMO (5.8% vs 0.9%; p = 0.003) [
<xref rid="bib31" ref-type="bibr">31</xref>
]. However, one study showed that the ECMO group had lower in-hospital mortality (65 vs. 100%, P = 0.02) [
<xref rid="bib32" ref-type="bibr">32</xref>
]. Thus, it was suggested that ECMO therapy could be used as a rescue therapy for MERS-CoV patients who develop refractory hypoxia as the therapy needs a specialized center.</p>
<p id="p0050">In conclusion, we do not yet know if all factors contributed to mortality or were simply markers of pre-mortal last interventions.</p>
</sec>
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<sec id="appsec1" sec-type="supplementary-material">
<label>Appendix A</label>
<title>Supplementary data</title>
<p id="p0055">The following is the supplementary data to this article:
<supplementary-material content-type="local-data" id="mmc1">
<caption>
<title>Multimedia component 1</title>
</caption>
<media xlink:href="mmc1.xml">
<alt-text>Multimedia component 1</alt-text>
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</sec>
<fn-group>
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<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.tmaid.2019.03.004" id="intref0010">https://doi.org/10.1016/j.tmaid.2019.03.004</ext-link>
.</p>
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</back>
</pmc>
</record>

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