Journal of Current Biomedical Reports  jcbior.com 

Volume 3, Number 1, 2022                                                                                                          eISSN: 2717-1906 

1 

Original research 

Clinical characteristics and outcomes of COVID-19 patients with 
a history of cardiovascular disease 

 

Tofigh Yaghubi1, Vahid Shakoori2, Sara Nasiri2, Mona Keivan3, Chanour Tavakol4, Shahin Ahanjide5, 
Ali Alavi Foumani1, Samaneh Mirzaei Dahka6, Mohammad Sadegh Esmaeili Delshad1, Niloofar 

Faraji1,* 
 

1Razi Clinical Research Development Unit, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran 
2Department of Cardiology, Guilan Interventional Cardiovascular Research Center, Heshmat Hospital, Guilan 

University of Medical Sciences, Rasht, Iran 
3Student Research Committee, Medical School, Kermanshah University of Medical Science, Kermanshah, Iran 

4School of Medicine, Tehran University of Medical Sciences, Tehran, Iran 
5Department of Internal Medicine, School of Medicine, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran 

6Student Research Committee, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran 
 

Abstract 
New emerging severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) primarily affects the 
lungs, but the virus may cause cardiovascular disease (CVD), and a history of CVD is usually associated 
with comorbidities, which could increase the severity of infections. In this study, we collected 
demographic and clinical characteristics data from 123 patients with a history of CVD, who were 
confirmed to have SARS-CoV-2 infection by polymerase chain reaction (PCR) test in Razi Hospital, 
Rasht, Iran, from March 2021 to June 2021. Chi-Square and Fisher's Exact test with a significance level 
of P less than 0.05 was performed. All statistical analysis was performed with SPSS software version 
26.0. Among the studied patients, 99 patients were discharged and 24 of them died. 62 (50.4%) of the 
study population were female and 61 (49.6%) were male, and there is no significant association between 
gender and the outcome of patients (P = 0.159). The total mean age of patients was 68.35±12.41. 
Statistical analysis has represented a significant relation of death outcomes in CVD patients with age 
60 years and older (P = 0.001), in comparison with patients younger than 60 years. In this present 
study, no significant relation between underlying disease and mortality rate was reported, but in 
COVID-19 patients with a history of CVD and age upper than 60 years, death outcome was more 
probable. 

Keywords: COVID-19, SARS-CoV-2, Cardiovascular disease, Clinical characteristic, Underlying disease 
 

1. Introduction 
A mysterious outbreak of new coronavirus in 

2019, December, which was named severe acute 
respiratory syndrome coronavirus-2 (SARS-CoV-2), 
was identified in Wuhan, China [1, 2]. The most 
common symptom of this virus appears as mild to 
severe complications such as cough, fever, myalgia,  

                                                           
*Corresponding author:  
Niloofar Faraji, MSc 
Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran 
Tel/Fax: +98 13 33550028 
Email: niloofarfaraji.sci@gmail.com 
https://orcid.org/0000-0001-5796-7157 
 
Received: October, 26, 2021 
Accepted: December, 25, 2021 

renal failure, hypoxemia, coagulopathy, 
gastrointestinal, and cardiovascular complications [3-
6]. SARS-CoV-2 has affected more than 238 million 
individuals worldwide till April 13, 2021, which was 
confirmed by World Health Organization (WHO). 
SARS-CoV-2 infection is triggered by the binding of 
the viral surface spike protein to the human 

  © The Author(s) 2022 

https://jcbior.com/


Yaghubi et al. 

2 

angiotensin-converting enzyme 2 (ACE2) receptor. 
ACE2 is highly expressed in various cell lines and 
organs including the intestine, lung, and heart as well, 
which results in some complications including 
hypertension, atherosclerosis, and congestive heart 
failure [7-9]. Although much of the concentration has 
been on pulmonary injury, emergency clinicians need 
to be aware of the cardiovascular disease (CVD), which 
can be a noteworthy contributor to the mortality of 
SARS-CoV-2 infection [10-12]. COVID-19 patients 
with a history of CVD (coronary heart disease, 
hypertension) presented more severe clinical 
outcomes and higher mortalities [12]. Several studies 
have confirmed raises in cardiac enzymes and 
alterations in electrocardiogram (ECG) and 
echocardiography suggestive of acute myocardial 
complications in COVID-19 patients [13]. 
Furthermore, a cross-sectional study has suggested 
lower vascular function weeks after SARS-CoV-2 
infection in young adults [14].  

In this present study, we investigate the 
association of demographic data, clinical 
characteristics, and underlying disease with mortality 
in COVID-19 patients with a history of CVD.  

 
2. Materials and Methods 
A total number of 123 patients with a history of 

CVD were selected through the census method, who 
was admitted to Razi Hospital, Rasht, Iran, from 
March 2021 to June 2021. Confirmation of SARS-
CoV-2 infection was done via polymerase chain 
reaction (PCR) on the nasopharyngeal and 
oropharyngeal swap sample, by Roche RNA extraction 
kit and Pishtaz master-mix. Exclude criteria were 
patients with negative PCR test results for SARS-CoV-
2 and inadequate medical records. This survey was in 
agreement with the declaration of Helsinki, and the 
Ethics Committee of the Guilan University of Medical 
Sciences has approved the study design 
[IR.GUMS.REC.1399.022]. Written informed consent 
was waived by the local Ethics Committee due to the 
use of medical recodes of patients only. Gender, age, 
history of smoking and opium, clinical symptoms 
included: fever, cough, myalgia, respiratory distress, 
impaired consciousness, hyposmia/anosmia, ageusia, 
anorexia, intubation needed, O2 saturation, computed 
tomography (CT) scan result, length of stay (LOS), 
history of underlying disease including cancer, 
asthma, diabetes, blood pressure disorder, chronic 

liver disease (CLD), chronic blood disease, 
autoimmune disease, chronic kidney disease (CKD), 
chronic pulmonary disease (CPD), chronic 
neuropathy, and the outcome of patients were 
recorded as the variables for our study. The Shapiro-
Wilk test was used to test the normality of data 
distribution. The categorical variables were presented 
as count and percentage. Chi-Square with a 
significance level of P less than 0.05 was performed. 
All statistical analysis was performed with SPSS 
software version 26.0. 

 
3. Result 
The statistical analysis of demographic and 

clinical characteristics of a total of 123 patients with a 
history of CVD that was confirmed as COVID-19 
patients, has been shown in (Tables 1 and 2). 99 
patients were discharged and 24 of them died. 62 
(50.4%) of the study population were female and 61 
(49.6%) were male, and there is no significant 
association between gender and the outcome of 
patients (P = 0.159). The total mean age of patients was 
68.35±12.41. Statistical analysis has represented a 
significant relation of death outcomes in CVD patients 
with age 60 and older (P = 0.001), in comparison with 
patients younger than 60 years. Approximately, none 
of the patients with death outcome outcomes were 
under 60 years. Also, between the history of smoking 
and using opium with death outcome, no association 
was reported (P = 0.381 and P= 0.959), respectively. 
The most common reported symptom was fever, 
cough, myalgia, respiratory distress, decreased O2 
saturation, and CT scan positive result (P = 0.756, P = 
0.133, P = 0.211, P = 0.309, P = 0.087, P = 0.054), 
respectively. Also, some other symptoms such as 
hyposmia/anosmia, ageusia, and intubation needed, 
which were less reported in these patients, represented 
no significant association between the presence of 
these symptoms and death outcome, (P = 0.509, P = 
0.605, P = 0.605, P = 857), respectively. While 
impaired consciousness and anorexia were rarely 
reported in patients, statistical analysis revealed 
remarkable relation between these signs and death 
outcomes in CVD patients (P <0.001 and P = 0.004). 
The most-reported underlying disease was diabetes 
(47.15%), and blood pressure disorder (47.96%). The 
statistical analysis represented no significant 
association between any reported underlying diseases 
and death outcomes, including cancer, asthma, 



Yaghubi et al. 

3 

Table 1. Demographic and clinical characteristics data of COVID-19 patients with a history of CVD 

 

Demographic  
Discharge 
No. (%) 

Death 
No. (%) 

P value 

Gender 
Female 53 (53.5) 9 (37.5) 

0.159 
Male 46 (46.5) 15 (62.5) 

Age 
<60 32 (32.2) 0 

0.001 
>60 67 (67.7) 24 (100) 

Smoking history 
Yes 4 (4) 2 (8.3) 

0.381 
No 95 (96) 22 (91.7) 

Opium 
Yes 12 (13.1) 3 (12.5) 

0.959 
No 87 (87.9) 21 (87.5) 

Clinical symptoms 

Fever 
Yes 53 (53.5) 12 (50% 

0.756 
No 46 (46.5) 12 (50) 

Cough 
Yes 62 (62.6) 11 (45.8) 

0.133 
No 37 (37.4) 13 (54.2) 

Myalgia 
Yes 47 (47.5) 8 (33.3) 

0.211 
No 52 (52.5) 16 (66.7) 

Respiratory distress 
Yes 59 (59.6) 17 (70.8) 

0.309 
No 40 (40.4) 7 (29.2) 

Impaired 

consciousness 

Yes 7 (7.1) 8 (33.3) 
0.000 

No 92 (92.9) 16 (66.7) 

Hyposmia/Anosmia 
Yes 8 (8.1) 1 (4.2) 

0.509 
No 91 (91.9) 23 (95.8) 

Ageusia 
Yes 7 (7.1) 1 (4.2) 

0.605 
No 92 (92.9) 23 (95.8) 

Anorexia 
Yes 0 2 (8.3) 

0.004 
No 100 (100) 22 (91.7) 

Intubation 
Yes 5 (5.1) 1 (4.2) 

0.857 
No 94 (94.9) 23 (95.8) 

O2 Saturation 
<93% 24 (24.2) 10 (41.7) 

0.087 
>93% 75 (75.8) 14 (58.3) 

CT scan result 
Positive 70 (70.7) 12 (50) 

0.054 
Negative 29 (29.3) 12 (50) 

LOS 

<5 day 46 (46.5) 13 (54.2) 

0.219 5-10 day 38 (38.4) 5 (20.8) 

>10 day  15 (15.2) 6 (25) 

 



Yaghubi et al. 

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Table 2. Comorbid underlying disease in COVID-19 with a history of CVD 

 

Underlying disease 
Demographic 

 
Discharge 

n (%) 

Death 

n (%) 
P value 

Cancer 
Yes 4 (3.3) 0  

0.317 No 95 (96) 24 (100) 

Asthma  
Yes 11 (11.1) 3 (12.5)  

0.848 No 88 (88.9) 21 (87.5) 

Diabetes 
Yes 49 (49.5) 9 (37.5)  

0.291 No 50 (50.5) 15 (62.5) 

Blood pressure 

disorder 

Yes 49 (49.5) 10 (41.7)  

0.491 No 50 (50.5) 14 (58.3) 

Chronic liver disease 
Yes 1 (1) 1 (4.2)  

0.273 

 No 98 (99) 23 (95.8) 

Chronic blood 

disorder 

Yes 4 (4) 1 (4.2)  

0.978 No 95 (96) 23 (95.8) 

Autoimmune disorder 
Yes 1 (1) 0  

0.621 No 98 (99) 24 (100) 

Chronic kidney 

disease  

Yes 9 (9.1) 3 (12.5)  

0.614 No 90 (90.9) 21 (87.5) 

Chronic pulmonary 

disease 

Yes 2 (2) 1 (4.2)  

0.541 No 97 (98) 23 (95.8) 

Chronic neuropathy 
Yes 2 (2) 2 (8.3)  

0.118 No 97 (98) 22 (991.7) 

 



Yaghubi et al. 

5 

diabetes, blood pressure disorder, CLD, CPD, 
autoimmune disease, CKD, CPD, and chronic 
neuropathy (P = 0.317, P = 0.848, P = 0.291, P = 0.491, 
P = 0.273, P = 0.978, P = 0.621, P = 0.614, P = 0.541, P 
= 0.118), respectively. Although the outcome of 
patients, either discharged or dead, showed no 
association with LOS (P = 0.219), among patients with 
higher LOS for more than 10 days, the mortality rate 
was increased. 

 
4. Discussion 
SARS-CoV-2 is a critical life-threatening issue, 

attracts worldwide attention, and causes lots of health 
and social expenses [3]. Due to the susceptibility of 
CVD patients to severe conditions of SARS-CoV-2 
infection, specific attention should be given to 
cardiovascular protection during treatment for 
COVID-19 [15]. According to a meta-analysis study on 
hospitalized patients with COVID-19, hypertension, 
CVD, diabetes, CKD, and Chronic obstructive 
pulmonary diseases (COPD) were the most prevalent 
underlying diseases, while CVD had the highest 
prevalence among diseases that put patients at higher 
risk of SARS-CoV-2 threats [16]. Some studies 
illustrated hypertension and CVD as the most 
common related mortality factor in patients with CVD 
who were infected by respiratory viruses (Middle East 
respiratory syndrome (MERS-CoV) and influenza) 
[17-20]. It has been reported that elderly people with 
comorbidities of hypertension, CVD, or diabetes, are 
more susceptible to severe symptoms of SARS-CoV-2 
infection [21]. Consequently, patients with a history of 
CVD consider a high-risk group with death 
determination [22-25]. Similar to our report, COVID-
19 patients aged older than 60 years with underlying 
CVD can aggravate symptoms and result in death 
outcomes [26, 27]. Although, in our study, there was 
no statistically significant relationship between the 
comorbid underlying disease with death outcome in 
COVID-9 patients with CVD, all mentioned diseases, 
separately, were reported as a risk factor to worsen the 
condition and lead to death in these patients [28-32]. 
Among demographical and clinical characteristics, 
male gender, elderly age, and fever are associated with 
a greater risk of development of acute respiratory 
syndrome, severe condition, and death [31, 33]. 

Lack of access to consumption of blood pressure 
and heart medications data, the impact of unwanted 
side effects of these medications on the worsening 

COVID-19 condition, as well as incomplete 
information about the treatment methods used for 
these patients are some of the limitations of this study.  

Various comorbidities like CVD, CPD, 
hypertension, and diabetes are risk factors for poor 
clinical outcomes among patients infected with SARS-
CoV-2. Patients with a history of CVD had a broad 
range of severe conditions that led to a higher risk of 
development of critical or fatal COVID-19 disease. 
According to our study, older age, anorexia, and 
impaired consciousness are the risk factors for 
COVID-19 patients with a history of CVD, which could 
result in death outcomes. 

 
Authors’ contributions 
Concept and Study design: TY, AA, SM, MSD; 

Methods, data collection, and experimental work:  
VSH, SN, MK, CHT, SHA, SM, NF; Results analysis 
and conclusions: VSH, SN, SM, NF; Manuscript 
preparation and editing: TY, MK, CHT, SHA, AA, SM, 
MSD, NF. All authors read and approved the final 
version of manuscript. 

 
Conflict of interests 
No potential conflict of interest was reported by 

the authors. 
 
Ethical declarations 
All subjects gave their informed consent to 

participate in the study, which was approved by the 
ethical committee at the Guilan University of Medical 
Science [IR.GUMS.REC.1399.022].  

 
Financial support 
Guilan University of Medical Science (Grant No. 

2036). 
 
References 

1. Chan JF, Kok KH, Zhu Z, Chu H, To KK, Yuan S, et al. 
Genomic characterization of the 2019 novel human-
pathogenic coronavirus isolated from a patient with 
atypical pneumonia after visiting Wuhan. Emerg Microbes 
Infect. 2020; 9(1):221-36. 
2. Lu H, Stratton CW, Tang YW. Outbreak of pneumonia of 
unknown etiology in Wuhan, China: The mystery and the 
miracle. J Med Virol. 2020; 92(4):401-2. 
3. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. 
Epidemiological and clinical characteristics of 99 cases of 
2019 novel coronavirus pneumonia in Wuhan, China: a 
descriptive study. Lancet. 2020; 395(10223):507-13. 

https://pubmed.ncbi.nlm.nih.gov/31987001/
https://pubmed.ncbi.nlm.nih.gov/31987001/
https://pubmed.ncbi.nlm.nih.gov/31987001/
https://pubmed.ncbi.nlm.nih.gov/31987001/
https://pubmed.ncbi.nlm.nih.gov/31987001/
https://pubmed.ncbi.nlm.nih.gov/31950516/
https://pubmed.ncbi.nlm.nih.gov/31950516/
https://pubmed.ncbi.nlm.nih.gov/31950516/
https://pubmed.ncbi.nlm.nih.gov/32007143/
https://pubmed.ncbi.nlm.nih.gov/32007143/
https://pubmed.ncbi.nlm.nih.gov/32007143/
https://pubmed.ncbi.nlm.nih.gov/32007143/


Yaghubi et al. 

6 

4. Chen Q, Xu L, Zhu W, Ge J. Cardiovascular 
manifestations in severe and critical patients with COVID-
19. Clin Cardiol. 2020; 43(10):1054. 
5. Kunutsor SK, Laukkanen JA. Renal complications in 
COVID-19: a systematic review and meta-analysis. Ann 
Med. 2020; 52(7):345-53. 
6. Zhang X, Yang X, Jiao H, Liu X. Coagulopathy in patients 
with COVID-19: a systematic review and meta-analysis. 
Aging (Albany NY). 2020; 12(24):24535-51. 
7. Zhao Y, Zhao Z, Wang Y, Zhou Y, Ma Y, Zuo W. Single-
Cell RNA Expression Profiling of ACE2, the Receptor of 
SARS-CoV-2. Am J Respir Crit Care Med. 2020; 
202(5):756-9. 
8. Tikellis C, Thomas MC. Angiotensin-Converting Enzyme 
2 (ACE2) Is a Key Modulator of the Renin Angiotensin 
System in Health and Disease. Int J Pept. 2012; 
2012:256294. 
9. Djomkam ALZ, Olwal CO, Sala TB, Paemka L. 
Commentary: SARS-CoV-2 Cell Entry Depends on ACE2 
and TMPRSS2 and Is Blocked by a Clinically Proven 
Protease Inhibitor. Front Oncol. 2020; 10:1448. 
10. Driggin E, Madhavan MV, Bikdeli B, Chuich T, Laracy 
J, Biondi-Zoccai G, et al. Cardiovascular Considerations for 
Patients, Health Care Workers, and Health Systems During 
the COVID-19 Pandemic. J Am Coll Cardiol. 2020; 
75(18):2352-71. 
11. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. 
Clinical features of patients infected with 2019 novel 
coronavirus in Wuhan, China. Lancet. 2020; 
395(10223):497-506. 
12. Ruan Q, Yang K, Wang W, Jiang L, Song J. Clinical 
predictors of mortality due to COVID-19 based on an 
analysis of data of 150 patients from Wuhan, China. 
Intensive Care Med. 2020; 46(5):846-8. 
13. Doyen D, Moceri P, Ducreux D, Dellamonica J. 
Myocarditis in a patient with COVID-19: a cause of raised 
troponin and ECG changes. Lancet. 2020; 
395(10235):1516. 
14. Ratchford SM, Stickford JL, Province VM, Stute N, 
Augenreich MA, Koontz LK, et al. Vascular alterations 
among young adults with SARS-CoV-2. Am J Physiol Heart 
Circ Physiol. 2021; 320(1):H404-h10. 
15. Zheng YY, Ma YT, Zhang JY, Xie X. COVID-19 and the 
cardiovascular system. Nat Rev Cardiol. 2020; 17(5):259-
60. 
16. Emami A, Javanmardi F, Pirbonyeh N, Akbari A. 
Prevalence of Underlying Diseases in Hospitalized Patients 
with COVID-19: a Systematic Review and Meta-Analysis. 
Arch Acad Emerg Med. 2020; 8(1):e35. 
17. Assiri A, Al-Tawfiq JA, Al-Rabeeah AA, Al-Rabiah FA, 
Al-Hajjar S, Al-Barrak A, et al. Epidemiological, 
demographic, and clinical characteristics of 47 cases of 
Middle East respiratory syndrome coronavirus disease 
from Saudi Arabia: a descriptive study. Lancet Infect Dis. 
2013; 13(9):752-61. 
18. Noorwali AA, Turkistani AM, Asiri SI, Trabulsi FA, 
Alwafi OM, Alzahrani SH, et al. Descriptive epidemiology 
and characteristics of confirmed cases of Middle East 
respiratory syndrome coronavirus infection in the Makkah 

Region of Saudi Arabia, March to June 2014. Ann Saudi 
Med. 2015; 35(3):203-9. 
19. Wang R, Hozumi Y, Zheng YH, Yin C, Wei GW. Host 
Immune Response Driving SARS-CoV-2 Evolution. 
Viruses. 2020; 12(10). 
20. Mertz D, Kim TH, Johnstone J, Lam PP, Science M, 
Kuster SP, et al. Populations at risk for severe or 
complicated influenza illness: systematic review and meta-
analysis. Bmj. 2013; 347:f5061. 
21. de Almeida-Pititto B, Dualib PM, Zajdenverg L, Dantas 
JR, de Souza FD, Rodacki M, et al. Severity and mortality 
of COVID 19 in patients with diabetes, hypertension and 
cardiovascular disease: a meta-analysis. Diabetol Metab 
Syndr. 2020; 12:75. 
22. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. 
Clinical Characteristics of 138 Hospitalized Patients With 
2019 Novel Coronavirus-Infected Pneumonia in Wuhan, 
China. Jama. 2020; 323(11):1061-9. 
23. Peng YD, Meng K, Guan HQ, Leng L, Zhu RR, Wang BY, 
et al. [Clinical characteristics and outcomes of 112 
cardiovascular disease patients infected by 2019-nCoV]. 
Zhonghua Xin Xue Guan Bing Za Zhi. 2020; 48(6):450-5. 
24. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical 
course and risk factors for mortality of adult inpatients with 
COVID-19 in Wuhan, China: a retrospective cohort study. 
Lancet. 2020; 395(10229):1054-62. 
25. Alshaikh MK, Alotair H, Alnajjar F, Sharaf H, Alhafi B, 
Alashgar L, et al. Cardiovascular Risk Factors Among 
Patients Infected with COVID-19 in Saudi Arabia. Vasc 
Health Risk Manag. 2021; 17:161-8. 
26. Chan JF, Yuan S, Kok KH, To KK, Chu H, Yang J, et al. 
A familial cluster of pneumonia associated with the 2019 
novel coronavirus indicating person-to-person 
transmission: a study of a family cluster. Lancet. 2020; 
395(10223):514-23. 
27. Bonow RO, Fonarow GC, O'Gara PT, Yancy CW. 
Association of Coronavirus Disease 2019 (COVID-19) With 
Myocardial Injury and Mortality. JAMA Cardiol. 2020; 
5(7):751-3. 
28. Shi Q, Zhang X, Jiang F, Zhang X, Hu N, Bimu C, et al. 
Clinical Characteristics and Risk Factors for Mortality of 
COVID-19 Patients With Diabetes in Wuhan, China: A Two-
Center, Retrospective Study. Diabetes Care. 2020; 
43(7):1382-91. 
29. Mubarik S, Liu X, Eshak ES, Liu K, Liu Q, Wang F, et al. 
The Association of Hypertension With the Severity of and 
Mortality From the COVID-19 in the Early Stage of the 
Epidemic in Wuhan, China: A Multicenter Retrospective 
Cohort Study. Front Med (Lausanne). 2021; 8:623608. 
30. Choudhary NS, Dhampalwar S, Saraf N, Soin AS. 
Outcomes of COVID-19 in Patients with Cirrhosis or Liver 
Transplantation. J Clin Exp Hepatol. 2021; 11(6):713-9. 
31. Cai R, Zhang J, Zhu Y, Liu L, Liu Y, He Q. Mortality in 
chronic kidney disease patients with COVID-19: a 
systematic review and meta-analysis. Int Urol Nephrol. 
2021; 53(8):1623-9. 
32. Meza D, Khuder B, Bailey JI, Rosenberg SR, Kalhan R, 
Reyfman PA. Mortality from COVID-19 in Patients with 

https://pubmed.ncbi.nlm.nih.gov/32667051/
https://pubmed.ncbi.nlm.nih.gov/32667051/
https://pubmed.ncbi.nlm.nih.gov/32667051/
https://pubmed.ncbi.nlm.nih.gov/32643418/
https://pubmed.ncbi.nlm.nih.gov/32643418/
https://pubmed.ncbi.nlm.nih.gov/32643418/
https://pubmed.ncbi.nlm.nih.gov/33229625/
https://pubmed.ncbi.nlm.nih.gov/33229625/
https://pubmed.ncbi.nlm.nih.gov/33229625/
https://pubmed.ncbi.nlm.nih.gov/32663409/
https://pubmed.ncbi.nlm.nih.gov/32663409/
https://pubmed.ncbi.nlm.nih.gov/32663409/
https://pubmed.ncbi.nlm.nih.gov/32663409/
https://pubmed.ncbi.nlm.nih.gov/22536270/
https://pubmed.ncbi.nlm.nih.gov/22536270/
https://pubmed.ncbi.nlm.nih.gov/22536270/
https://pubmed.ncbi.nlm.nih.gov/22536270/
https://pubmed.ncbi.nlm.nih.gov/32974166/
https://pubmed.ncbi.nlm.nih.gov/32974166/
https://pubmed.ncbi.nlm.nih.gov/32974166/
https://pubmed.ncbi.nlm.nih.gov/32974166/
https://pubmed.ncbi.nlm.nih.gov/32201335/
https://pubmed.ncbi.nlm.nih.gov/32201335/
https://pubmed.ncbi.nlm.nih.gov/32201335/
https://pubmed.ncbi.nlm.nih.gov/32201335/
https://pubmed.ncbi.nlm.nih.gov/32201335/
https://pubmed.ncbi.nlm.nih.gov/31986264/
https://pubmed.ncbi.nlm.nih.gov/31986264/
https://pubmed.ncbi.nlm.nih.gov/31986264/
https://pubmed.ncbi.nlm.nih.gov/31986264/
https://pubmed.ncbi.nlm.nih.gov/32125452/
https://pubmed.ncbi.nlm.nih.gov/32125452/
https://pubmed.ncbi.nlm.nih.gov/32125452/
https://pubmed.ncbi.nlm.nih.gov/32125452/
https://pubmed.ncbi.nlm.nih.gov/32334650/
https://pubmed.ncbi.nlm.nih.gov/32334650/
https://pubmed.ncbi.nlm.nih.gov/32334650/
https://pubmed.ncbi.nlm.nih.gov/32334650/
https://pubmed.ncbi.nlm.nih.gov/33306450/
https://pubmed.ncbi.nlm.nih.gov/33306450/
https://pubmed.ncbi.nlm.nih.gov/33306450/
https://pubmed.ncbi.nlm.nih.gov/33306450/
https://pubmed.ncbi.nlm.nih.gov/32139904/
https://pubmed.ncbi.nlm.nih.gov/32139904/
https://pubmed.ncbi.nlm.nih.gov/32139904/
https://pubmed.ncbi.nlm.nih.gov/32232218/
https://pubmed.ncbi.nlm.nih.gov/32232218/
https://pubmed.ncbi.nlm.nih.gov/32232218/
https://pubmed.ncbi.nlm.nih.gov/32232218/
https://pubmed.ncbi.nlm.nih.gov/23891402/
https://pubmed.ncbi.nlm.nih.gov/23891402/
https://pubmed.ncbi.nlm.nih.gov/23891402/
https://pubmed.ncbi.nlm.nih.gov/23891402/
https://pubmed.ncbi.nlm.nih.gov/23891402/
https://pubmed.ncbi.nlm.nih.gov/23891402/
https://pubmed.ncbi.nlm.nih.gov/26409794/
https://pubmed.ncbi.nlm.nih.gov/26409794/
https://pubmed.ncbi.nlm.nih.gov/26409794/
https://pubmed.ncbi.nlm.nih.gov/26409794/
https://pubmed.ncbi.nlm.nih.gov/26409794/
https://pubmed.ncbi.nlm.nih.gov/26409794/
https://pubmed.ncbi.nlm.nih.gov/32992592/
https://pubmed.ncbi.nlm.nih.gov/32992592/
https://pubmed.ncbi.nlm.nih.gov/32992592/
https://pubmed.ncbi.nlm.nih.gov/23974637/
https://pubmed.ncbi.nlm.nih.gov/23974637/
https://pubmed.ncbi.nlm.nih.gov/23974637/
https://pubmed.ncbi.nlm.nih.gov/23974637/
https://pubmed.ncbi.nlm.nih.gov/32874207/
https://pubmed.ncbi.nlm.nih.gov/32874207/
https://pubmed.ncbi.nlm.nih.gov/32874207/
https://pubmed.ncbi.nlm.nih.gov/32874207/
https://pubmed.ncbi.nlm.nih.gov/32874207/
https://pubmed.ncbi.nlm.nih.gov/32031570/
https://pubmed.ncbi.nlm.nih.gov/32031570/
https://pubmed.ncbi.nlm.nih.gov/32031570/
https://pubmed.ncbi.nlm.nih.gov/32031570/
https://pubmed.ncbi.nlm.nih.gov/32120458/
https://pubmed.ncbi.nlm.nih.gov/32120458/
https://pubmed.ncbi.nlm.nih.gov/32120458/
https://pubmed.ncbi.nlm.nih.gov/32120458/
https://pubmed.ncbi.nlm.nih.gov/32171076/
https://pubmed.ncbi.nlm.nih.gov/32171076/
https://pubmed.ncbi.nlm.nih.gov/32171076/
https://pubmed.ncbi.nlm.nih.gov/32171076/
https://pubmed.ncbi.nlm.nih.gov/33907410/
https://pubmed.ncbi.nlm.nih.gov/33907410/
https://pubmed.ncbi.nlm.nih.gov/33907410/
https://pubmed.ncbi.nlm.nih.gov/33907410/
https://pubmed.ncbi.nlm.nih.gov/31986261/
https://pubmed.ncbi.nlm.nih.gov/31986261/
https://pubmed.ncbi.nlm.nih.gov/31986261/
https://pubmed.ncbi.nlm.nih.gov/31986261/
https://pubmed.ncbi.nlm.nih.gov/31986261/
https://pubmed.ncbi.nlm.nih.gov/32219362/
https://pubmed.ncbi.nlm.nih.gov/32219362/
https://pubmed.ncbi.nlm.nih.gov/32219362/
https://pubmed.ncbi.nlm.nih.gov/32219362/
https://pubmed.ncbi.nlm.nih.gov/32409504/
https://pubmed.ncbi.nlm.nih.gov/32409504/
https://pubmed.ncbi.nlm.nih.gov/32409504/
https://pubmed.ncbi.nlm.nih.gov/32409504/
https://pubmed.ncbi.nlm.nih.gov/32409504/
https://pubmed.ncbi.nlm.nih.gov/34055822/
https://pubmed.ncbi.nlm.nih.gov/34055822/
https://pubmed.ncbi.nlm.nih.gov/34055822/
https://pubmed.ncbi.nlm.nih.gov/34055822/
https://pubmed.ncbi.nlm.nih.gov/34055822/
https://pubmed.ncbi.nlm.nih.gov/33994708/
https://pubmed.ncbi.nlm.nih.gov/33994708/
https://pubmed.ncbi.nlm.nih.gov/33994708/
https://pubmed.ncbi.nlm.nih.gov/33389508/
https://pubmed.ncbi.nlm.nih.gov/33389508/
https://pubmed.ncbi.nlm.nih.gov/33389508/
https://pubmed.ncbi.nlm.nih.gov/33389508/
https://pubmed.ncbi.nlm.nih.gov/34413640/
https://pubmed.ncbi.nlm.nih.gov/34413640/


Yaghubi et al. 

7 

COPD: A US Study in the N3C Data Enclave. Int J Chron 
Obstruct Pulmon Dis. 2021; 16:2323-6. 
33. Wu C, Chen X, Cai Y, Xia J, Zhou X, Xu S, et al. Risk 
Factors Associated With Acute Respiratory Distress 
Syndrome and Death in Patients With Coronavirus Disease 
2019 Pneumonia in Wuhan, China. JAMA Intern Med. 
2020; 180(7):934-43. 
 
 

https://pubmed.ncbi.nlm.nih.gov/34413640/
https://pubmed.ncbi.nlm.nih.gov/34413640/
https://pubmed.ncbi.nlm.nih.gov/32167524/
https://pubmed.ncbi.nlm.nih.gov/32167524/
https://pubmed.ncbi.nlm.nih.gov/32167524/
https://pubmed.ncbi.nlm.nih.gov/32167524/
https://pubmed.ncbi.nlm.nih.gov/32167524/