The DOI matches its Crossref record; 73 of the 74 references it cites were found in a registry or an index.
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”
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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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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