<?xml version="1.0" encoding="UTF-8" standalone="no"?><?covid-19-tdm?>
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2021.655634</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Clinical Characteristics of COVID-19-Infected Cancer Patients in Pakistan: Differences Between Survivors and Non-Survivors</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Asghar</surname>
<given-names>Kashif</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1200558"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Abu Bakar</surname>
<given-names>Muhammad </given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Akram</surname>
<given-names>Muhammad Junaid</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Farooq</surname>
<given-names>Asim</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Siddique</surname>
<given-names>Kashif</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rana</surname>
<given-names>Iftikhar Ali</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ali</surname>
<given-names>Jamshed</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rashid</surname>
<given-names>Muhammad Usman</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1242059"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Khan</surname>
<given-names>Ashraf Ali</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1300970"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Loya</surname>
<given-names>Asif</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Basic Sciences Research, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Cancer Registry and Clinical Data Management, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Internal Medicine (Pulmonology), Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Clinical Research, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Radiology, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Pathology, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Medical Oncology, Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Peshawar</addr-line>, <country>Pakistan</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Internal Medicine (Infectious Diseases), Shaukat Khanum Memorial Cancer Hospital and Research Centre</institution>, <addr-line>Lahore</addr-line>, <country>Pakistan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Nicola Silvestris, University of Bari Aldo Moro, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Luca Falzone, Istituto Nazionale Tumori Fondazione G. Pascale (IRCCS), Italy; Airton T. Stein, Federal University of Health Sciences of Porto Alegre, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Kashif Asghar, <email xlink:href="mailto:kashifasghar@skm.org.pk">kashifasghar@skm.org.pk</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Cancer Epidemiology and Prevention, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>05</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>655634</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>01</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>04</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Asghar, Abu Bakar, Akram, Farooq, Siddique, Rana, Ali, Rashid, Khan and Loya</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Asghar, Abu Bakar, Akram, Farooq, Siddique, Rana, Ali, Rashid, Khan and Loya</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Cancer patients are considered as highly vulnerable individuals in the current COVID-19 pandemic. We studied the clinical characteristics of survivor and non-survivor COVID-19-infected cancer patients in Pakistan.</p>
</sec>
<sec>
<title>Patients and Methods</title>
<p>We did a retrospective study of 70 cancer patients with PCR-confirmed COVID-19 infection from Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore and Peshawar, Pakistan between April 13 and July 09, 2020. These patients were discharged from the hospital or had died by July 09, 2020. Clinical, pathological and radiological characteristics were compared between survivors and non-survivors by fisher&#x2019;s exact test and chi-square test. Univariable and multivariable logistic regression models were performed to explore the risk factors of mortality.</p>
</sec>
<sec>
<title>Results</title>
<p>Seventy cancer patients with SARS-CoV-2 infection were enrolled and the majority were males 38 (54.3%). 57 (81.4%) had solid tumors and 13 (18.6%) had hematological malignancies. Dyspnea (44 cases) was the most common symptom (62.9%). Complications were reported in 51 (72.9%) patients during the course of disease. 19 (27.1%) patients were admitted to an intensive care unit (ICU). A significant increase in the C-reactive protein level and neutrophil count was observed in the deceased patients as compared to the surviving patients. D-dimer values of &#x2265;0.2 mg/L were significantly associated with mortality (<italic>P</italic>=0.01). We identified two independent risk factors associated with death, ICU admission (<italic>P</italic>=0.007) and D-dimer (<italic>P</italic>=0.003).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Pakistani cancer patients with COVID-19 infection reported poor prognosis. Intensive surveillance of clinicopathological characteristics of cancer patients infected with COVID-19 especially D-dimer values may play a pivotal role in the outcome of the disease.</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>cancer</kwd>
<kwd>survivors</kwd>
<kwd>Pakistan</kwd>
<kwd>non-survivors</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="33"/>
<page-count count="9"/>
<word-count count="5388"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The coronavirus disease of 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (<xref ref-type="bibr" rid="B1">1</xref>). The virus was first detected in December 2019, in Wuhan, China (<xref ref-type="bibr" rid="B2">2</xref>). The whole world including Pakistan is experiencing COVID-19 outbreaks (<xref ref-type="bibr" rid="B3">3</xref>). The World Health Organization (WHO) declared the COVID-19 outbreak a pandemic on March 11, 2020 (<xref ref-type="bibr" rid="B4">4</xref>). As of March 11, 2021, 117,160,237 cases have been confirmed worldwide, with 2,598,892 deaths (<xref ref-type="bibr" rid="B5">5</xref>). In Pakistan 597,497 COVID-19, cases and 13,377 deaths have been confirmed, as of March 12, 2021 (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Epidemiological data have indicated that cancer patients are more susceptible to the COVID-19 infection (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). SARS-CoV-2 infection affects the functioning of cardiovascular, renal, hepatic, pancreatic and gastrointestinal systems (<xref ref-type="bibr" rid="B8">8</xref>). Furthermore, the virus has the ability to invade and cause neural disease in the central and peripheral nervous system (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B12">12</xref>). There is an increased risk of opportunistic infections in cancer patients due to their impaired immunity, poor nutrition and post cancer therapy associated side effects (<xref ref-type="bibr" rid="B7">7</xref>). Liang et&#xa0;al. demonstrated that cancer patients with COVID-19 had poorer outcomes (<xref ref-type="bibr" rid="B13">13</xref>). Zhang et&#xa0;al. also reported that cancer patients with COVID-19 showed poor prognoses (<xref ref-type="bibr" rid="B14">14</xref>). Comprehensive data published by Yang and colleagues concluded that patients with cancer and COVID-19 are a high-risk population with an increased mortality rate (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Each year around 200,000 new cancer cases are being diagnosed in Pakistan (<xref ref-type="bibr" rid="B15">15</xref>) and approximately, 45,000 cancer patients come to the Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH &amp; RC). SKMCH &amp; RC is a state-of-the-art charitable hospital where 75% of patients diagnosed with cancer are treated free of charge (<xref ref-type="bibr" rid="B16">16</xref>). The hospital also accepts cancer patients from Afghanistan.</p>
<p>We analyzed the data from cancer patients with SARS-CoV-2 infection who were admitted to SKMCH &amp; RC. Here, we report the systematically characterized clinical features of survivors and non-survivors COVID-19-infected cancer patients in Pakistan, in an attempt to define the nature of the aggravating factors caused by COVID-19 infection.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study Design and Participants</title>
<p>The current study was conducted at SKMCH &amp; RC Lahore and Peshawar, Pakistan. This is a retrospective cohort study. The first cases of SARS-CoV-2 were identified in Pakistan in February 2020 (<xref ref-type="bibr" rid="B3">3</xref>). Immediately after the COVID-19 outbreak, SKMCH &amp; RC Lahore and Peshawar initiated the diagnosis and treatment of SARS-CoV-2 infected cancer patients. COVID-19 patients were diagnosed based on the guidelines provided by WHO (<xref ref-type="bibr" rid="B17">17</xref>). All enrolled patients had previously been diagnosed with cancer. We included all patients (aged &#x2265; 18 years) with pathological diagnoses of any malignant solid or hematological malignancies along with PCR-confirmation of SARS-CoV-2 infection. We aimed to investigate the clinical characteristics of survivors and non-survivors COVID-19-infected cancer patients in Pakistan. All patients fulfilling the eligibility criteria were included in the study. The study cutoff date was July 09, 2020. The institutional review board (IRB) of SKMCH &amp; RC approved the current study (IRB-EX-20-04-20-01). IRB granted the waiver of the written informed consent from study participants.</p>
</sec>
<sec id="s2_2">
<title>Data Collection</title>
<p>The information about the demographic data, clinicopathological characteristics, laboratory findings and chest X-ray examinations were acquired from pathology and radiology reports from our hospital medical records&#x2019; system. Data about gender, age, comorbidities (diabetes, hypertension, cardiac disease, chronic pulmonary disease, chronic kidney disease and chronic liver disease), cancer history (cancer type, stage and treatment), vital signs (temperature, heart rate, respiratory rate, blood oxygen saturation), body mass index and symptoms (dyspnea, cough, fever, muscle ache, sore throat, diarrhea, vomiting, chills, abdominal pain and headache) and pathology lab tests (white blood cells, neutrophils, lymphocytes, platelets, red blood cells, hemoglobin, creatinine, blood urea nitrogen, lactate dehydrogenase, lactate, pH, PCO2, PO2, HCO3, O2 saturation, alanine transaminase (ALT), aspartate transaminase (AST), albumin, globulin, gamma-glutamyl transpeptidase (GGT), alkaline phosphatase, C-reactive protein, ferritin and D-dimer) were all obtained at the time of diagnosis of COVID-19 in cancer patients. According to the TNM staging system, cancers were defined as stages I, II, III and IV. We also collected the information about treatments for cancer patients with COVID-19 (intravenous antibiotics, antiviral therapy, immunotherapy, anthelmintic agent, montelukast, hydroxychloroquine, zinc/vitamin-C, continuous renal replacement therapy, oxygen therapy and mechanical ventilation), complications and outcomes during admission to hospital.</p>
</sec>
<sec id="s2_3">
<title>Statistical Analysis</title>
<p>We hypothesized that differences exist in demographic, clinical, and laboratory characteristics, treatments, and cancer history between survivors and non-survivors of COVID-19 with cancer. Quantitative variables were presented as medians/mean (range: minimum-maximum/standard deviation), and qualitative variables were presented by frequencies and percentages. The independent t-test, Mann-Whitney U test, Chi-square test, and Fisher&#x2018;s exact test were applied to analyze the differences between groups according to the type of data. Kaplan-Meier analysis (log-rank test) was used to check the survival difference. Risk factors associated with death and their odds ratios (ORs) were analyzed by the univariable logistic regression model. Variable selection for multivariable analysis was based on significance from the univariable logistic regression analysis (p&lt;0&#xb7;05). We used IBM SPSS Statistics 20.0 software for statistical analysis. The tests we used were all two-sided with less than 5% type I error. The differences between groups were considered to be significant when the <italic>P</italic>-value was less than 0&#xb7;05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>From April 13 to July 09, 2020, 13,692 patients were diagnosed with COVID-19 in an electronic medical record system from SKMCH&amp;RC, Pakistan. Among 13,692 patients, 443 (3.23%) had cancer. 81 patients with COVID-19 symptoms were admitted at SKMCH&amp;RC. After excluding 11 patients (under the age of 18 years), we included only 70 (15.80%) out of 443 hospital admitted cancer patients as shown in (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure 1</bold>
</xref>). None of the 70 patients was lost to follow-up during the hospital admission. Of the 70 cancer patients 30 (42.9%) had died as of July 9, 2020, including, 22 (73.33%) patients who belonged to the Punjab province. The primary cause of death was COVID-19 infection in these patients. 38 (54.3%) patients were male, 32 (45.7%) patients were female, and overall follow-up for all the patients was 88 days. The overall mean age was 50.27 &#xb1; 16.61 (<xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref>). Approximately two-thirds of the patients (72.85%) were admitted to the hospital within 24 hours after diagnosis. 67 (95.71%) of 70 patients had symptoms during the course of COVID-19.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Demographics and baseline characteristics of patients with cancer and COVID-19.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Total (n=70)</th>
<th valign="top" align="center">Alive (n=40, 57.1%)</th>
<th valign="top" align="center">Dead (n=30, 42.9%)</th>
<th valign="top" align="center">
<italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Demographics</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age (years)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">50.27 &#xb1; 16.61</td>
<td valign="top" align="center">47.98 &#xb1; 15.98</td>
<td valign="top" align="center">53.33 &#xb1; 17.20</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Sex</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">38 (54.3%)</td>
<td valign="top" align="center">19 (47.5)</td>
<td valign="top" align="center">19 (63.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">32 (45.7%)</td>
<td valign="top" align="center">21 (52.5)</td>
<td valign="top" align="center">11 (36.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Geographic origin</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">Punjab</td>
<td valign="top" align="center">53 (75.7)</td>
<td valign="top" align="center">31 (77.5)</td>
<td valign="top" align="center">22 (73.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Khyber Pakhtunkhwa</td>
<td valign="top" align="center">10 (14.3)</td>
<td valign="top" align="center">4 (10.0)</td>
<td valign="top" align="center">6 (20.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Federally Administered Tribal Area</td>
<td valign="top" align="center">1 (1.4)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1 (3.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Afghanistan</td>
<td valign="top" align="center">6 (8.6)</td>
<td valign="top" align="center">5 (12.5)</td>
<td valign="top" align="center">1 (3.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Clinical characteristics and outcomes</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Comorbidities</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">9 (12.9)</td>
<td valign="top" align="center">5 (12.5)</td>
<td valign="top" align="center">4 (13.3)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">14 (20.0)</td>
<td valign="top" align="center">8 (20.0)</td>
<td valign="top" align="center">6 (20.0)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Chronic pulmonary disease</td>
<td valign="top" align="center">8 (11.4)</td>
<td valign="top" align="center">5 (12.5)</td>
<td valign="top" align="center">3 (10.0)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney disease</td>
<td valign="top" align="center">7 (10.0)</td>
<td valign="top" align="center">3 (7.5)</td>
<td valign="top" align="center">4 (13.3)</td>
<td valign="top" align="center">0.45</td>
</tr>
<tr>
<td valign="top" align="left">Coronary heart disease</td>
<td valign="top" align="center">3 (4.3)</td>
<td valign="top" align="center">2 (5.0)</td>
<td valign="top" align="center">1 (3.3)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Chronic liver disease</td>
<td valign="top" align="center">3 (4.3)</td>
<td valign="top" align="center">2 (5.0)</td>
<td valign="top" align="center">1 (3.3)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Symptoms</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Dyspnea</td>
<td valign="top" align="center">44 (62.9)</td>
<td valign="top" align="center">20 (50.0)</td>
<td valign="top" align="center">24 (80.0)</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Cough</td>
<td valign="top" align="center">40 (57.1)</td>
<td valign="top" align="center">25 (62.5)</td>
<td valign="top" align="center">15 (50.0)</td>
<td valign="top" align="center">0.29</td>
</tr>
<tr>
<td valign="top" align="left">Fever</td>
<td valign="top" align="center">24 (34.3)</td>
<td valign="top" align="center">15 (37.5)</td>
<td valign="top" align="center">9 (30.0)</td>
<td valign="top" align="center">0.51</td>
</tr>
<tr>
<td valign="top" align="left">Muscle ache</td>
<td valign="top" align="center">22 (31.4)</td>
<td valign="top" align="center">14 (35.0)</td>
<td valign="top" align="center">8 (26.7)</td>
<td valign="top" align="center">0.45</td>
</tr>
<tr>
<td valign="top" align="left">Sore throat</td>
<td valign="top" align="center">17 (24.3)</td>
<td valign="top" align="center">11 (27.5)</td>
<td valign="top" align="center">6 (20.0)</td>
<td valign="top" align="center">0.46</td>
</tr>
<tr>
<td valign="top" align="left">Diarrhea</td>
<td valign="top" align="center">9 (12.9)</td>
<td valign="top" align="center">3 (7.5)</td>
<td valign="top" align="center">6 (20.0)</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">Vomiting</td>
<td valign="top" align="center">9 (12.9)</td>
<td valign="top" align="center">4 (10.0)</td>
<td valign="top" align="center">5 (16.7)</td>
<td valign="top" align="center">0.48</td>
</tr>
<tr>
<td valign="top" align="left">Chills</td>
<td valign="top" align="center">6 (8.6)</td>
<td valign="top" align="center">3 (7.5)</td>
<td valign="top" align="center">3 (10.0)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Abdominal pain</td>
<td valign="top" align="center">5 (7.1)</td>
<td valign="top" align="center">3 (7.5)</td>
<td valign="top" align="center">2 (6.7)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Headache</td>
<td valign="top" align="center">3 (4.3)</td>
<td valign="top" align="center">3 (7.5)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Temperature</bold> (&#xb0;C)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">37.32 &#xb1; 0.85</td>
<td valign="top" align="center">37.36 &#xb1; 0.96</td>
<td valign="top" align="center">37.26 &#xb1; 0.69</td>
<td valign="top" align="center">0.61</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Heart rate</bold> (beats/min)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">108.44 &#xb1; 20.11</td>
<td valign="top" align="center">104.25 &#xb1; 18.81</td>
<td valign="top" align="center">114.03 &#xb1; 20.72</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Respiratory rate</bold> (breaths/min)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">21.60 &#xb1; 3.61</td>
<td valign="top" align="center">20.67 &#xb1; 3.46</td>
<td valign="top" align="center">22.83 &#xb1; 3.48</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SpO2</bold> (%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">90.78 &#xb1; 11.79</td>
<td valign="top" align="center">93.32 &#xb1; 6.62</td>
<td valign="top" align="center">87.40 &#xb1; 15.84</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Body mass index (BMI)</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">26.26 &#xb1; 7.25</td>
<td valign="top" align="center">27.47 &#xb1; 7.34</td>
<td valign="top" align="center">24.63 &#xb1; 6.91</td>
<td valign="top" align="center">0.10</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SD, standard deviation; SpO2, blood oxygen saturation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Dyspnea (62.9%), cough (57.1%) and fever (34.3%) were the most common symptoms, followed by muscle ache (31.4%), sore throat (24.3%), diarrhea (12.9%), vomiting (12.9%), chills (8.6%), abdominal pain (7.1%) and headache (4.3%) (<xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref>). The cancer patients also had other comorbidities, including diabetes (12.9%), hypertension (20.0%) and chronic pulmonary (11.4%), kidney (10.0%), heart (4.3%) and liver (4.3%) diseases (<xref ref-type="table" rid="T1">
<bold>Table 1</bold>
</xref>). Non-survivor patients had higher respiratory rates and lower levels of blood oxygen saturation (SpO2) as compared to the survivors. Dyspnea was the most common feature of non- survivor as compared to the survivor (<italic>P</italic>=0.01). No significant differences in age, gender and other comorbidities were detected among survivors and non-survivors groups.</p>
<p>We found significantly elevated levels of D-dimers in the non-survivors as compared to the survivors (<italic>P</italic>=0.01). Furthermore, the non-survivor patients presented with higher levels of neutrophils (<italic>P</italic>=0.01), creatinine (<italic>P</italic>=0.02), blood urea nitrogen (<italic>P</italic>=0.01), lactate (<italic>P</italic>=0.02), aspartate transaminase (<italic>P</italic>=0.02) and ferritin (<italic>P</italic>=0.03) compared to survivor patients. Additionally, C-reactive protein level and neutrophil-lymphocyte ratio (NLR) was higher in the non-survivors than survivors (<italic>P</italic>=0.01), (<xref ref-type="table" rid="T2">
<bold>Table 2</bold>
</xref>). 54&#xa0;(77.14%) out of 70 patients showed abnormal features in the radiological findings (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure 2</bold>
</xref>). 23 (32.9%) of 70 patients had ground-glass opacities, and 12(17.1%) presented with consolidation (<xref ref-type="table" rid="T2">
<bold>Table 2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>Laboratory and Radiological findings of patients with cancer and COVID-19.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Total (n=70)</th>
<th valign="top" align="center">Alive (n=40, 57.1%)</th>
<th valign="top" align="center">Dead (n=30, 42.9%)</th>
<th valign="top" align="center">
<italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>White blood cells, &#xd7;</bold> 10<sup>3</sup> cells/&#xb5;l</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median (range)</td>
<td valign="top" align="center">8.41 (0.11-433)</td>
<td valign="top" align="center">6.73 (0.23-433)</td>
<td valign="top" align="center">10.68 (0.11-122.82)</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Neutrophils, &#xd7;</bold> 10<sup>3</sup> cells/&#xb5;l</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median (range)</td>
<td valign="top" align="center">6.69 (1.08-21.52)</td>
<td valign="top" align="center">4.83 (1.08-21.52)</td>
<td valign="top" align="center">8.93 (1.70-21.21)</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Lymphocytes, &#xd7;</bold> 10<sup>3</sup> cells/&#xb5;L</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median (range)</td>
<td valign="top" align="center">1.14 (0.20-116.02)</td>
<td valign="top" align="center">1.12 (0.20-34.12)</td>
<td valign="top" align="center">1.15 (0.22-116.02)</td>
<td valign="top" align="center">0.78</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>NLR</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median (range)</td>
<td valign="top" align="center">6.07 (0.05-93.14)</td>
<td valign="top" align="center">4.49 (0.34-21.10)</td>
<td valign="top" align="center">7.31 (0.05-93.14)</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Platelets, &#xd7;</bold> 10<sup>3</sup> cells/&#xb5;L</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median (range)</td>
<td valign="top" align="center">238 (2&#x2013;852)</td>
<td valign="top" align="center">256 (20&#x2013;852)</td>
<td valign="top" align="center">211 (2&#x2013;483)</td>
<td valign="top" align="center">0.27</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>RBCs, &#xd7;</bold> 10<sup>6</sup> cells/&#xb5;L</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">4.04 (2.08-11.30)</td>
<td valign="top" align="center">4.06 (2.37-11.30)</td>
<td valign="top" align="center">3.81 (2.08-5.54)</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hemoglobin,</bold> g/dL</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median (range)</td>
<td valign="top" align="center">10.65 (3.97-15)</td>
<td valign="top" align="center">11.90 (3.97-14.60)</td>
<td valign="top" align="center">10.10 (5.10-15.0)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Creatinine,</bold> mg/dL</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median (range)</td>
<td valign="top" align="center">0.66 (0.25-4.67)</td>
<td valign="top" align="center">0.63 (0.28-1.55)</td>
<td valign="top" align="center">0.76 (0.25-4.67)</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Blood urea nitrogen,</bold> mg/dL</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median (range)</td>
<td valign="top" align="center">15.04 (3.60-99.14)</td>
<td valign="top" align="center">12.36 (3.60-37.12)</td>
<td valign="top" align="center">19.93 (7.49-99.14)</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Lactate dehydrogenase,</bold> u/L</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">380 (172&#x2013;759)</td>
<td valign="top" align="center">389.50 (172&#x2013;759)</td>
<td valign="top" align="center">365 (194&#x2013;531)</td>
<td valign="top" align="center">0.80</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Lactate,</bold> mg/dL</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median (range)</td>
<td valign="top" align="center">17.70 (6.80-106.07)</td>
<td valign="top" align="center">15.00 (6.80-39)</td>
<td valign="top" align="center">19.65 (9.10-106.07)</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>pH</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">7.47 (7.20-7.54)</td>
<td valign="top" align="center">7.47 (7.39-7.54)</td>
<td valign="top" align="center">7.44 (7.20-7.52)</td>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>PCO2,</bold> mmHg</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">34 (17&#x2013;63)</td>
<td valign="top" align="center">34.5 (30&#x2013;49)</td>
<td valign="top" align="center">34 (17&#x2013;63)</td>
<td valign="top" align="center">0.96</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>PO2,</bold> mmHg</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">76 (31&#x2013;231)</td>
<td valign="top" align="center">79 (50&#x2013;152)</td>
<td valign="top" align="center">74 (31&#x2013;231)</td>
<td valign="top" align="center">0.68</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>HCO3,</bold> mmol/L</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">25 (10.08-37.50)</td>
<td valign="top" align="center">25.30 (19.40-31.10)</td>
<td valign="top" align="center">23.30 (10.08-37.50)</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>O2 saturation,</bold> %</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">95 (67&#x2013;100)</td>
<td valign="top" align="center">96.50 (88&#x2013;99)</td>
<td valign="top" align="center">95 (67&#x2013;100)</td>
<td valign="top" align="center">0.54</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>ALT,</bold> U/L</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">30.50 (9&#x2013;448)</td>
<td valign="top" align="center">26 (9&#x2013;151)</td>
<td valign="top" align="center">36.50 (15&#x2013;448)</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>AST,</bold> U/L</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">45 (16&#x2013;1318)</td>
<td valign="top" align="center">27 (16&#x2013;288)</td>
<td valign="top" align="center">53 (21&#x2013;1318)</td>
<td valign="top" align="center">0.02</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Albumin,</bold> g/dL</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median (range)</td>
<td valign="top" align="center">3.29 (1.70-4.74)</td>
<td valign="top" align="center">3.52 (1.98-4.74)</td>
<td valign="top" align="center">2.85 (1.70-3.71)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Globulin,</bold> g/dL</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">3.25 (1.82-4.50)</td>
<td valign="top" align="center">3.25 (1.82-4.25)</td>
<td valign="top" align="center">3.29 (2.00-4.50)</td>
<td valign="top" align="center">0.98</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>GGT,</bold> U/L</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">54.50 (13&#x2013;611)</td>
<td valign="top" align="center">37.50 (13&#x2013;434)</td>
<td valign="top" align="center">58.50 (30&#x2013;611)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Alkaline phosphate,</bold> U/L</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">94 (48&#x2013;870)</td>
<td valign="top" align="center">93 (48&#x2013;623)</td>
<td valign="top" align="center">106.50 (54&#x2013;870)</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>C-reactive protein,</bold> mg/L</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">148 (2-586.43)</td>
<td valign="top" align="center">94 (4&#x2013;514)</td>
<td valign="top" align="center">209.50 (2-586.43)</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Ferritin,</bold> ng/mL</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median(range)</td>
<td valign="top" align="center">915 (63.40-21422)</td>
<td valign="top" align="center">757(63.40-4056)</td>
<td valign="top" align="center">1250 (81.20-21422)</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>D-dimer,</bold> mg/L</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">&lt;0.2</td>
<td valign="top" align="center">23 (52.3)</td>
<td valign="top" align="center">19 (76.0)</td>
<td valign="top" align="center">4 (21.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2265;0.2</td>
<td valign="top" align="center">21 (47.7)</td>
<td valign="top" align="center">6 (24.0)</td>
<td valign="top" align="center">15 (78.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Radiological findings</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">Ground-glass opacity</td>
<td valign="top" align="center">23 (32.9)</td>
<td valign="top" align="center">11 (27.5)</td>
<td valign="top" align="center">12 (40.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Consolidation</td>
<td valign="top" align="center">12 (17.1)</td>
<td valign="top" align="center">4 (10.0)</td>
<td valign="top" align="center">8 (26.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Patchy shadowing</td>
<td valign="top" align="center">11 (15.7)</td>
<td valign="top" align="center">5 (12.5)</td>
<td valign="top" align="center">6 (20.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Reticulonodular infiltrates</td>
<td valign="top" align="center">7 (10.0)</td>
<td valign="top" align="center">6 (15.0)</td>
<td valign="top" align="center">1 (3.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">1 (1.4)</td>
<td valign="top" align="center">1 (2.5)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">11 (15.7)</td>
<td valign="top" align="center">9 (22.5)</td>
<td valign="top" align="center">2 (6.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="center">5 (7.1)</td>
<td valign="top" align="center">4 (10.0)</td>
<td valign="top" align="center">1 (3.3)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NLR, neutrophil-lymphocyte ratio; RBCs, red blood cells; ALT, alanine transaminase; AST, aspartate transaminase; GGT, gamma-glutamyl transpeptidase.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Of the 70 patients included, 67 (95.7%) received intravenous antibiotics and 1(1.4%) received antiviral medication (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>). Montelukast was given to 47 (67.1%) patients. Ivermectin was given to 6 (8.6%) patients. 41 (58.6%) received Zinc and vitamin C. Hydroxychloroquine (HCQ) was given to 4 (5.7%) patients. Tocilizumab was given to 12 (17.1%) patients (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>). Invasive and non-invasive mechanical ventilation was provided to 19 (27.1%) and 9 (12.9%) patients, respectively. 19 (27.1%) of 70 patients were admitted to the ICU. 51(72.9%) of 70 patients developed the complications. Additionally, 30 (58.82%) of 51 patients having complications were non-survivors. We observed that non-survivors were more likely to receive oxygen therapy, required mechanical ventilation, were referred to the ICU, where they developed complications such as ARDS 32 (45.7%), acute renal failure 23 (32.9%), septic shock 22 (31.4%), abnormal liver function 25 (35.7%), coagulopathy16 (22.9%), secondary infections 26 (37.1%) and arrhythmia 8 (11.4%), (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table 3</label>
<caption>
<p>Treatments and complications of patients with cancer and COVID-19.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Total(n=70)</th>
<th valign="top" align="center">Alive (n=40, 57.1%)</th>
<th valign="top" align="center">Dead (n=30, 42.9%)</th>
<th valign="top" align="center">
<italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Treatments</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Intravenous antibiotic</td>
<td valign="top" align="center">67 (95.7)</td>
<td valign="top" align="center">37 (92.5)</td>
<td valign="top" align="center">30 (100.0)</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">Antiviral medication</td>
<td valign="top" align="center">1 (1.4)</td>
<td valign="top" align="center">1 (2.5)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Tocilizumab</td>
<td valign="top" align="center">12 (17.1)</td>
<td valign="top" align="center">4 (10.0)</td>
<td valign="top" align="center">8 (26.7)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Montelukast</td>
<td valign="top" align="center">47 (67.1)</td>
<td valign="top" align="center">29 (72.5)</td>
<td valign="top" align="center">18 (60.0)</td>
<td valign="top" align="center">0.27</td>
</tr>
<tr>
<td valign="top" align="left">Ivermectin</td>
<td valign="top" align="center">6 (8.6)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">6 (20.0)</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">Zinc (vitamin C)</td>
<td valign="top" align="center">41 (58.6)</td>
<td valign="top" align="center">25 (62.5)</td>
<td valign="top" align="center">16 (53.3)</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left">HCQ</td>
<td valign="top" align="center">4 (5.7)</td>
<td valign="top" align="center">2 (5.0)</td>
<td valign="top" align="center">2 (6.7)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Oxygen therapy</td>
<td valign="top" align="center">61 (87.1)</td>
<td valign="top" align="center">31 (77.5)</td>
<td valign="top" align="center">30(100.0)</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Mechanical ventilator</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center">42 (60.0)</td>
<td valign="top" align="center">35 (87.5)</td>
<td valign="top" align="center">7 (23.3)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Non-invasive</td>
<td valign="top" align="center">9 (12.9)</td>
<td valign="top" align="center">3 (7.5)</td>
<td valign="top" align="center">6 (20.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Invasive</td>
<td valign="top" align="center">19 (27.1)</td>
<td valign="top" align="center">2 (5.0)</td>
<td valign="top" align="center">17 (56.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>ICU admission</bold>
</td>
<td valign="top" align="center">19 (27.1)</td>
<td valign="top" align="center">4 (10.0)</td>
<td valign="top" align="center">15 (50.0)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">CRRT</td>
<td valign="top" align="center">9 (12.9)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">9 (90.0)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Complications</bold>
</td>
<td valign="top" align="center">51 (72.9)</td>
<td valign="top" align="center">21 (52.5)</td>
<td valign="top" align="center">30 (100.0)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">ARDS</td>
<td valign="top" align="center">32 (45.7)</td>
<td valign="top" align="center">6 (15.0)</td>
<td valign="top" align="center">26 (86.7)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Acute renal failure</td>
<td valign="top" align="center">23 (32.9)</td>
<td valign="top" align="center">2 (5.0)</td>
<td valign="top" align="center">21 (70.0)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Septic shock</td>
<td valign="top" align="center">22 (31.4)</td>
<td valign="top" align="center">3 (7.5)</td>
<td valign="top" align="center">19 (63.3)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Abnormal liver function</td>
<td valign="top" align="center">25 (35.7)</td>
<td valign="top" align="center">9 (22.5)</td>
<td valign="top" align="center">16 (53.3)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Coagulopathy</td>
<td valign="top" align="center">16 (22.9)</td>
<td valign="top" align="center">1 (2.5)</td>
<td valign="top" align="center">15 (50.0)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Secondary infection</td>
<td valign="top" align="center">26 (37.1)</td>
<td valign="top" align="center">7 (17.5)</td>
<td valign="top" align="center">19 (63.3)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Arrhythmia</td>
<td valign="top" align="center">8 (11.4)</td>
<td valign="top" align="center">1 (2.5)</td>
<td valign="top" align="center">7 (23.3)</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" align="left">Other complications</td>
<td valign="top" align="center">22 (31.4)</td>
<td valign="top" align="center">11 (27.5)</td>
<td valign="top" align="center">11 (36.7)</td>
<td valign="top" align="center">0.41</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HCQ, hydroxychloroquine; ICU, Intensive-care unit; CRRT, continuous renal replacement therapy; ARDS, acute respiratory distress syndrome.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>57 (81.4%) of 70 patients were diagnosed with solid tumors and 13 (18.6%) of 70 patients were diagnosed with hematological malignancies (<xref ref-type="table" rid="T4">
<bold>Table 4</bold>
</xref>). The most common cancers were in breast 11 (19.3%), prostate 5 (8.8%), colorectal 4 (7.0%), lung 4 (7.0%), kidney 3 (5.3%) and oral 3 (5.3%). Among hematological malignancies lymphoma (5cases:38.5%) was most common. 53 (75.7%) of 70 patients received the chemotherapy. Radiotherapy was given to 33 (47.1%) of 70 patients. 25 (35.7%) of 70 patients received chemotherapy within 4 weeks before the onset of symptoms. 23 (32.9%) of 70 patients were diagnosed with cancer within the past year and 23 (32.9%) of 70 patients had an ECOG score higher than the one before admission. 44 (72.1%) of 70 patients were with an advanced stage (III-IV). The case fatality rate in patients with solid tumors was 40.3% (23 of 57 patients) and that in hematological malignancies was 53.8% (7 of 13 patients), (<xref ref-type="table" rid="T4">
<bold>Table 4</bold>
</xref>). The median time of hospital stay was 8 days (range 1-37 days). The overall median survival time of hospital stay was 19 days (confidence interval 13-25) <xref ref-type="fig" rid="f1">
<bold>Figure 1A</bold>
</xref>. Overall survival was compared among the D-dimer categories, &lt;0.2 and &#x2265;0.2. There was a statistically significant difference (<italic>P</italic>=0.01) between the two groups (<xref ref-type="fig" rid="f1">
<bold>Figure 1B</bold>
</xref>). The median survival time in D-dimer was lowest in &#x2265;0.2 category (11 days with confidence interval 8-13) compared to D-dimer &lt;0.2 category (26 days with confidence interval 13-39). Overall survival of D-dimer &#x2265;0.2 category was significantly associated with mortality (<italic>P</italic>-value 0.01) as shown in <xref ref-type="fig" rid="f1">
<bold>Figure 1B</bold>
</xref>.</p>
<table-wrap id="T4" position="float">
<label>Table 4</label>
<caption>
<p>History of cancer in patients with COVID-19.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Total(n=70)</th>
<th valign="top" align="center">Alive(n=40, 57.1%)</th>
<th valign="top" align="center">Dead(n=30, 42.9%)</th>
<th valign="top" align="center">
<italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Cancer Type</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hematological malignancy</bold>
</td>
<td valign="top" align="center">13 (18.6)</td>
<td valign="top" align="center">6 (15.0)</td>
<td valign="top" align="center">7 (23.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Acute lymphoblastic leukemia</td>
<td valign="top" align="center">3 (23.1)</td>
<td valign="top" align="center">3 (50.0)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Chronic lymphocytic leukemia</td>
<td valign="top" align="center">2 (15.4)</td>
<td valign="top" align="center">1 (16.7)</td>
<td valign="top" align="center">1 (14.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Chronic myeloid leukemia</td>
<td valign="top" align="center">1 (7.7)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1 (14.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Leukemia</td>
<td valign="top" align="center">1 (7.7)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1 (14.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Lymphoma</td>
<td valign="top" align="center">5 (38.5)</td>
<td valign="top" align="center">2 (33.3)</td>
<td valign="top" align="center">3 (42.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Multiple myeloma</td>
<td valign="top" align="center">1 (7.7)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">1 (14.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Solid tumor</bold>
</td>
<td valign="top" align="center">57 (81.4)</td>
<td valign="top" align="center">34 (85.0)</td>
<td valign="top" align="center">23 (76.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Breast</td>
<td valign="top" align="center">11 (19.3)</td>
<td valign="top" align="center">7 (20.6)</td>
<td valign="top" align="center">4 (17.4)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Prostate</td>
<td valign="top" align="center">5 (8.8)</td>
<td valign="top" align="center">4 (11.8)</td>
<td valign="top" align="center">1 (4.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Colorectal</td>
<td valign="top" align="center">4 (7.0)</td>
<td valign="top" align="center">1 (2.9)</td>
<td valign="top" align="center">3 (13.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Lung</td>
<td valign="top" align="center">4 (7.0)</td>
<td valign="top" align="center">1 (2.9)</td>
<td valign="top" align="center">3 (13.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Kidney</td>
<td valign="top" align="center">3 (5.3)</td>
<td valign="top" align="center">1 (2.9)</td>
<td valign="top" align="center">2 (8.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Oral</td>
<td valign="top" align="center">3 (5.3)</td>
<td valign="top" align="center">2 (5.9)</td>
<td valign="top" align="center">1 (4.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">27 (47.4)</td>
<td valign="top" align="center">18 (52.9)</td>
<td valign="top" align="center">9 (39.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>History of treatments</bold>
</td>
<td valign="top" align="center">62 (88.6)</td>
<td valign="top" align="center">38 (95.0)</td>
<td valign="top" align="center">24 (80.0)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Surgery</td>
<td valign="top" align="center">40 (57.1)</td>
<td valign="top" align="center">26 (65.0)</td>
<td valign="top" align="center">14 (46.7)</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">Chemotherapy</td>
<td valign="top" align="center">53 (75.7)</td>
<td valign="top" align="center">31 (77.5)</td>
<td valign="top" align="center">22 (73.3)</td>
<td valign="top" align="center">0.68</td>
</tr>
<tr>
<td valign="top" align="left">Radiotherapy</td>
<td valign="top" align="center">33 (47.1)</td>
<td valign="top" align="center">22 (55.0)</td>
<td valign="top" align="center">11 (36.7)</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Chemotherapy within 4 weeks before symptoms onset</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Chemotherapy</td>
<td valign="top" align="center">25 (35.7)</td>
<td valign="top" align="center">15 (37.5)</td>
<td valign="top" align="center">10 (33.3)</td>
<td valign="top" align="center">0.71</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Cancer stage</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left">Early (I-II)</td>
<td valign="top" align="center">17 (27.9)</td>
<td valign="top" align="center">12 (34.3)</td>
<td valign="top" align="center">5 (19.2)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Advance (III-IV)</td>
<td valign="top" align="center">44 (72.1)</td>
<td valign="top" align="center">23 (65.7)</td>
<td valign="top" align="center">21 (80.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Metastasis</bold>
</td>
<td valign="top" align="center">23 (32.9)</td>
<td valign="top" align="center">15 (37.5)</td>
<td valign="top" align="center">8 (26.7)</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Time since cancer diagnosis</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">0.23</td>
</tr>
<tr>
<td valign="top" align="left">&lt;1</td>
<td valign="top" align="center">23 (32.9)</td>
<td valign="top" align="center">15 (37.5)</td>
<td valign="top" align="center">8 (26.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">1-5 years</td>
<td valign="top" align="center">36 (51.4)</td>
<td valign="top" align="center">17 (42.5)</td>
<td valign="top" align="center">19 (63.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&gt;5</td>
<td valign="top" align="center">11 (15.7)</td>
<td valign="top" align="center">8 (20.0)</td>
<td valign="top" align="center">3 (10.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>ECOG performance status score</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.35</td>
</tr>
<tr>
<td valign="top" align="left">0</td>
<td valign="top" align="center">13 (18.6)</td>
<td valign="top" align="center">10 (25.0)</td>
<td valign="top" align="center">3 (10.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">23 (32.9)</td>
<td valign="top" align="center">13 (32.5)</td>
<td valign="top" align="center">10 (33.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">27 (38.6)</td>
<td valign="top" align="center">15 (37.5)</td>
<td valign="top" align="center">12 (40.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">3 (4.3)</td>
<td valign="top" align="center">1 (2.5)</td>
<td valign="top" align="center">2 (6.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">4 (5.7)</td>
<td valign="top" align="center">1 (2.5)</td>
<td valign="top" align="center">3 (10.0)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ECOG, Eastern Cooperative Oncology Group.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure 1</label>
<caption>
<p>
<bold>(A)</bold> Overall Survival of COVID-19 cancer patients <bold>(B)</bold> Overall Survival of COVID-19 cancer patients stratified by two groups of D-dimer (&lt;0.2 and &#x2265;0.2).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-655634-g001.tif"/>
</fig>
<p>In a univariable logistic regression model, dyspnea, respiratory rate, heart rate, ICU admission, creatinine, neutrophil, albumin, blood urea nitrogen, C-reactive protein and D-dimer values were associated with death. In addition, SpO2 and lactate were marginally statistically significant with respect to death in the univariable logistic regression model (<xref ref-type="table" rid="T5">
<bold>Table 5</bold>
</xref>). In a multivariable logistics regression model, we identified two variables as independent risk factors of death, ICU admission (odds ratio (OR), 21.79; 95% confidence interval (CI), 2.31&#x2013;205.68, <italic>P</italic>=0.007) and D-dimer values (OR, 26.67; 95% CI, 2.97-239.30, <italic>P</italic>=0.003).</p>
<table-wrap id="T5" position="float">
<label>Table 5</label>
<caption>
<p>Adjusted logistic regression analysis of factors associated with mortality.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Categories</th>
<th valign="top" align="center">Univariable Odds ratio (confidence interval), <italic>P</italic>-value</th>
<th valign="top" align="center">Multivariable Odds ratio(confidence interval), <italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Age (years)</bold>
</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">1.02 (1.00-1.05), 0.18</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Sex</bold>
</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">0.52 (0.19-1.37), 0.19</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>BMI</bold>
</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">0.94 (0.87-1.01), 0.11</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Dyspnea</bold>
</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">4.00 (1.34-11.87), 0.01</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Respiratory rate</bold> (breaths/min)</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">1.24 (1.02-1.50), 0.02</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>SpO2</bold> (%)</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">0.95 (0.90-1.00), 0.06</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Heart rate</bold> (beats/min)</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">1.02 (1.00-1.05), 0.04</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Comorbidity</bold>
</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">0.96 (0.36-2.57), 0.94</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Cancer stage</bold>
</td>
<td valign="top" align="left">Early</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Advance</td>
<td valign="top" align="center">2.19 (0.66-7.27), 0.20</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>ICU admission</bold>
</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">9.00 (2.56-31.24), 0.001</td>
<td valign="top" align="center">21.79 (2.31-205.68), 0.007</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Creatinine,</bold> mg/dL</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">4.31 (1.20-15.38), 0.02</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Lactate,</bold> mg/dL</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">1.05 (1.00-1.13), 0.08</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Alkaline phosphate,</bold> U/L</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">1.00 (1.00-1.00), 0.26</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Neutrophil, &#xd7;</bold> 10<sup>3</sup> cells/&#xb5;l</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">1.14 (1.03-1.28), 0.01</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hemoglobin,</bold> g/dL</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">0.83 (0.67-1.02), 0.08</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Albumin,</bold> g/dL</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">0.10 (0.02-0.40), 0.002</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Blood urea nitrogen,</bold> mg/dL</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">1.08 (1.02-1.15), 0.006</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>C-reactive protein,</bold> mg/L</td>
<td valign="top" align="left">Mean &#xb1; SD</td>
<td valign="top" align="center">1.01 (1.00-1.09), 0.01</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>D-dimer,</bold> mg/L</td>
<td valign="top" align="left">&lt;0.2</td>
<td valign="top" align="center">Ref</td>
<td valign="top" align="center">Ref</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">&#x2265;0.2</td>
<td valign="top" align="center">11.87 (2.83-11.87), 0.001</td>
<td valign="top" align="center">26.67 (2.97-239.30), 0.003</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, body mass index; SpO2, blood oxygen saturation; ICU, intensive-care unit.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Cancer patients are considered as highly vulnerable individuals in the COVID-19 pandemic (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). These individuals are at high risk to develop serious illness once diagnosed with COVID-19 infection. The mortality rate is high as well in these individuals (<xref ref-type="bibr" rid="B7">7</xref>). In addition to the few studies recently reported from China, this is the first retrospective study conducted in Pakistan to illustrate the comparative analysis of clinical characteristics, treatment, radiological and laboratory findings of survivor and non-survivor COVID-19-infected cancer patients. In particular, we identified two variables as independent risk factors of death: ICU admission and D-dimer.</p>
<p>SARS-CoV-2 infection may lead to acute respiratory distress syndrome (<xref ref-type="bibr" rid="B18">18</xref>). Dyspnea (62.9%), cough (57.1%) and fever (34.3%) are the most common symptoms as described in previous studies (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Liang et&#xa0;al. observed that old age and comorbidities were the major risk factors (<xref ref-type="bibr" rid="B13">13</xref>). This was not observed in our study and our results were similar to the study published by Yang et&#xa0;al. (<xref ref-type="bibr" rid="B7">7</xref>). We further observed abnormal respiratory rate, heart rate and blood oxygen saturation in the COVID-19-infected cancer patients. A retrospective study reported a link between hypoxemia (SpO2 &lt;90%) and mortality in COVID-19 patients (<xref ref-type="bibr" rid="B20">20</xref>). We found a significant difference in SpO2 in survivors and non-survivors patients. Yang et&#xa0;al. observed higher respiratory rates and lower levels of blood oxygen saturation among non-survivors (<xref ref-type="bibr" rid="B7">7</xref>). Our results are in keeping with this study, as we also found a significant difference in respiratory rates in survivors and non-survivors COVID-19 infected cancer patients.</p>
<p>In addition to previously reported data, D-dimers are usually elevated in patients with COVID-19 (<xref ref-type="bibr" rid="B21">21</xref>). Yao et&#xa0;al. observed an association of increased D-dimer level (&gt; 2.14&#x2009;mg/L) with in-hospital mortality (<xref ref-type="bibr" rid="B21">21</xref>). Tian and colleagues showed that D-dimer might play a predictive role for COVID-19 severity particularly in cancer patients (<xref ref-type="bibr" rid="B22">22</xref>). Yang et&#xa0;al. also observed elevated level of D-dimer in non-survivors as compared to survivors cancer patients with COVID-19 (<xref ref-type="bibr" rid="B7">7</xref>). We also found that higher levels of D-dimer (&#x2265;0.2 mg/L) were significantly different between non-survivor and survivor cancer patients infected with COVID-19. Additionally, D-dimers &#x2265;0.2 was significantly associated with mortality. In this regard, the first post-mortem analysis of COVID-19 microscopic lesions reported by Varga et&#xa0;al. showed direct viral involvement of endothelial structures (endothelialitis) (<xref ref-type="bibr" rid="B23">23</xref>), a phenomenon which may be linked with the coagulopathy (increase in D-dimers) observed in this study. These findings may justify the use of anti-viral or anti-COVID 19 antibody treatments to ameliorate the outcome of COVID-19-positive cancer patients.</p>
<p>Inflammatory cytokines are involved in the severity and adverse clinical outcomes in COVID-19 infected patients (<xref ref-type="bibr" rid="B24">24</xref>). Zhang et&#xa0;al. reported high neutrophil counts and C-reactive protein levels in cancer patients infected with COVID-19 (<xref ref-type="bibr" rid="B24">24</xref>). We also observed higher neutrophil counts and C-reactive protein levels in non-survivor <italic>vs</italic> survivor cancer patients infected with COVID-19. There is a possibility that pro-inflammatory neutrophils and C-reactive protein induce &#x201c;cytokine storm&#x201d; related to endothelialitis caused by COVID-19 infected cancer patients (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Serum lactate is used to assess the disease severity, therapeutic response and disease outcomes (<xref ref-type="bibr" rid="B25">25</xref>). Evaluating the lactate level has clinical significance in the management of critical cases of severe sepsis (<xref ref-type="bibr" rid="B26">26</xref>). Previously published data have shown that hyperlactatemia may be a predictor of death (<xref ref-type="bibr" rid="B27">27</xref>). In our results, we found a significant increase in the lactate levels of non-survivor COVID-19 infected cancer patients. As COVID-19 disease severity changes rapidly, it is beneficial to identify the parameters of severity at initial stage. Several studies also identified higher levels of creatinine (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B28">28</xref>), blood urea nitrogen (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B28">28</xref>), aspartate transaminase (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>), and ferritin (<xref ref-type="bibr" rid="B31">31</xref>), that are associated with the severity of COVID-19 infection. We also found elevated levels of creatinine, blood urea nitrogen, aspartate transaminase, and ferritin in non-survivor COVID-19 infected cancer patients.</p>
<p>Xu et&#xa0;al. reported bilateral lung lesions in 53 (59%) of 90 patients (<xref ref-type="bibr" rid="B32">32</xref>). We found bilateral lung lesions in 70% of our data set, which was higher than reported previously (<xref ref-type="bibr" rid="B32">32</xref>). The&#xa0;involvement of the lungs suggests that cancer patients are more prone to severe pulmonary disease after COVID-19-infection. Furthermore, we observed that non-survivors were significantly more likely to receive oxygen therapy, require mechanical ventilation, and be referred to the ICU. Complications such as ARDS, acute renal failure, septic shock, coagulopathy, secondary infections and arrhythmia were common in these patients. Our results are in keeping with the data published previously (<xref ref-type="bibr" rid="B7">7</xref>). Yang et&#xa0;al. reported that COVID-19 cancer patients receiving chemotherapy within 4 weeks before the onset of symptoms were more prone to death during hospital admission (<xref ref-type="bibr" rid="B7">7</xref>). In contrast, Lee et&#xa0;al. conducted a study on COVID-19 cancer patients and reported that chemotherapy had no effect on patient mortality (<xref ref-type="bibr" rid="B33">33</xref>). We found similar results with our limited retrospective cohort of COVID-19 infected cancer patients who received chemotherapy within 4 weeks before the onset of symptoms, which made no significant difference in mortality as compared to those who did not receive it. Clearly, a long-term follow up of the COVID-19 infected survivor cancer patients is required to identify the impact of the disease. The current study is a retrospective cohort, in which we included only those cancer patients who were admitted to our hospital from April 13 to July 9, 2020. The sample size of our study was limited because we could not include all cancer patients who tested positive for COVID-19infection since the clinical and pathological data was available for admitted cancer patients only. In addition, we have not evaluated the alteration in hematological parameters during hospitalization. Another limitation of our study is that we could not include&#xa0;non-cancer patients since our hospital is a specialized cancer care hospital.</p>
<p>In conclusion, we provide comprehensive information of the clinical characteristics, laboratory data and outcomes of COVID-19-infected cancer patients from Pakistan. This study highlights that elevated D-dimer levels and ICU admission as the two major independent risk factors for early surveillance of disease progression. Furthermore, we need to be more vigilant to the levels of C-reactive protein and neutrophils, once cancer patients are infected with COVID-19. The data presented in this study will certainly serve as a useful addition to the already available knowledge and to decide whether an anti-viral treatment is required or not. The risk factors might help clinicians to determine who are the high-risk cancer patients at the early onset of the infection.</p>
</sec>
<sec id="s5">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Shaukat Khanum Memorial Cancer Hospital and Research Centre - Institutional Review Board (IRB). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>KA had the idea for and designed the study. KA, MA, MJA, AF, KS, IR, and JA were involved in the acquisition of the data. KA, MA, and MJA summarized the data. KA, MA, MJA, IR, JA, and KS were involved in data interpretation. KA drafted the manuscript. MA, KS, IR, JA, MR, AK, and AL critically revised the manuscript for important intellectual content. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We would like to appreciate all hospital management and healthcare professionals who worked extensively during the pandemic. We also thank Prof. Dr. Daniel C. Hoessli for his valuable scientific input.</p>
</ack>
<sec id="s9" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2021.655634/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2021.655634/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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