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Prevalence of comorbidities among individuals with COVID-19: A rapid review of current literature
Open accessAbstract
Introduction On February 11, 2020 WHO designated the name "COVID-19" for the disease caused by "severe acute respiratory syndrome coronavirus 2" (SARS-CoV-2), a novel virus that quickly turned into a global pandemic. Risks associated with acquiring the virus have been found to most significantly vary by age and presence of underlying comorbidity. In this rapid literature review we explore the prevalence of comorbidities and associated adverse outcomes among individuals with COVID-19 and summarize our findings based on information available as of May 15, 2020.Methods A comprehensive systematic search was performed on PubMed, Medline, Scopus, Embase, and Google Scholar to find articles published until May 15, 2020. All relevant articles providing information on PCR tested COVID-19 positive patient population with clinical characteristics and epidemiological information were selected for review and analysis.Results A total of 27 articles consisting of 22,753 patient cases from major epicenters worldwide were included in the study. Major comorbidities seen in overall population were CVD (8.9%), HTN (27.4%), Diabetes (17.4%), COPD (7.5%), Cancer (3.5%), CKD (2.6%), and other (15.5%). Major comorbidity specific to countries included in the study were China (HTN 39.5%), South Korea (CVD 25.6%), Italy (HTN 35.9%), USA (HTN 38.9%), Mexico, (Other 42.3%), UK (HTN 27.8%), Iran (Diabetes 35.0%). Within fatal cases, an estimated 84.1% had presence of one or more comorbidity. Subgroup analysis of fatality association with having comorbidity had an estimated OR 0.83, CI [0.60-0.99], p<0.05.Conclusions Based on our findings, hypertension followed by diabetes and cardiovascular diseases were the most common comorbidity seen in COVID-19 positive patients across major epicenters world-wide. Although having one or more comorbidity is linked to increased disease severity, no clear association was found between having these risk factors and increased risk of fatality.
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“data from Wuhan, China showed that age was the primary risk factor associated with COVID-19 progression to acute respiratory distress syndrome (ARDS) and end-organ failure7”
From SARS-CoV-2, COVID-19 and the aging immune system (2021) · cites this paper as [10]
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Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
Zhang, Q., Wang, C., Zheng, M., Li, Y., Li, J., Zhang, L., Shang, X., & Yan, C. (2014) · Cerebrovascular Diseases · doi:10.1159/000369778 · Cited by 11,609
Research works printed but not linked: 9
- Age, 2020, Existing Conditions of COVID-19 Cases and deaths, WorldoMeter
- 2020, COVID-19 world map and mortality analysis, John Hopkins University
- 2020, Predicting the next phase of the covid-19 epidemic: changes in human behavior, Institute for Health Metrics and Evaluation
- McIntosh, 2020, Coronavirus disease 2019 (COVID-19): Epidemiology, virology, clinical features, diagnosis, and prevention, In:UpToDate
- 2020, Preliminary estimates of the prevalence of selected underlying health conditions among patients with coronavirus disease 2019, MMWR Morb Mortal Wkly Rep
- 2020, Coronavirus disease 2019 (COVID-19) in the EU/EEA and the UK – eighth update, European Center for Disease Prevention and Control
- Bommer, 2020, CDC offers guidance to patients with chronic disease 'living with uncertainty' during COVID-19, Healio Rheumatology
- Mandal, 2020, What happens when COVID-19 and cardiovascular diseases mix, Lifesciences
- Yang, 2020, Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis, Int J Infect Dis, 94, 91, 10.1016/j.ijid.2020.03.017 · DOI · Paper page
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Metadata
- Authors
- Bajgain, K. T., Badal, S., Bajgain, B. B., & Santana, M. J.
- Affiliations
- University of Minnesota (US)
- University of Calgary (CA)
- Corresponding author
- Bajgain, Bishnu B.
- Venue
- American Journal of Infection Control
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 49
- Issue
- 2
- Pages
- 238-246
- ISSN
- 0196-6553 (ISSN-L)
- PMC
- PMC7351042
- OpenAlex
- W3042070402
- Cited by
- 328
- References
- 74
- Citations by year
- 2026: 8 · 2025: 17 · 2024: 23 · 2023: 57 · 2022: 105 · 2021: 102
- FWCI
- 3.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Infection Control (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Libraries and Cultural Resources (University of Calgary) (submittedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Clinical Neurology › Long-Term Effects of COVID-19
- Keywords
- COVID-19 pandemic, SARS-CoV-2, comorbidities, hypertension, diabetes mellitus, cardiovascular disease, chronic obstructive pulmonary disease, chronic kidney disease, cancer, COVID-19 mortality, disease severity, risk factors
- MeSH terms
- COVID-19, SARS-CoV-2, Adult, Aged, Aged, 80 and over, Cardiovascular Diseases, Diabetes Mellitus, Female, Humans, Hypertension, Male, Middle Aged, Neoplasms, Global Health, Comorbidity, Prevalence, Pulmonary Disease, Chronic Obstructive, Renal Insufficiency, Chronic, Young Adult
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