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- Title
How useful are body mass index and history of diabetes in COVID-19 risk stratification?
- Authors
Salvy, Sarah-Jeanne; Datta, Geetanjali D.; Yu, Qihan; Lauzon, Marie; Hussain, Shehnaz K.; Cheng, Susan; Ebinger, Joseph E.; Goodarzi, Mark O.; Figueiredo, Jane C.
- Abstract
Objective: This study examines the value of risk stratification by documented diagnosis of diabetes and objectively measured height and weight (BMI) in COVID-19 severity and mortality in a large sample of patients in an urban hospital located in Southern California. Methods: Data from a retrospective cohort study of COVID-19 patients treated at Cedars-Sinai Medical Center between March 8, 2020, and January 25, 2021, was analyzed. Sociodemographic characteristics and pre-existing conditions were extracted from electronic medical records. Univariable and multivariable logistic regression models identified associated risk factors, and a regression causal mediation analysis examined the role of diabetes in the association between obesity and illness severity. All analyses were stratified by age (<65 and ≥65). Results: Among individuals <65yo, diabetes accounted for 19–30% of the associations between obesity and COVID-19 illness severity. Among patients ≥65yo, having a BMI <18.5 was a risk factor for mortality regardless of diabetes history. Conclusion: Our findings have clinical implications in documenting which patients may be at elevated risk for adverse outcomes. More in-depth prospective studies are needed to capture how glycemic regulation may influence prognosis.
- Subjects
SOUTHERN California; CEDARS-Sinai Medical Center; BODY mass index; COVID-19; ELECTRONIC health records; MORTALITY risk factors; DIABETES
- Publication
PLoS ONE, 2022, Vol 17, Issue 4, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0265473