• Media type: E-Article
  • Title: How useful are body mass index and history of diabetes in COVID-19 risk stratification?
  • Contributor: Salvy, Sarah-Jeanne; Datta, Geetanjali D.; Yu, Qihan; Lauzon, Marie; Hussain, Shehnaz K.; Cheng, Susan; Ebinger, Joseph E.; Goodarzi, Mark O.; Figueiredo, Jane C.
  • Published: Public Library of Science (PLoS), 2022
  • Published in: PLOS ONE, 17 (2022) 4, Seite e0265473
  • Language: English
  • DOI: 10.1371/journal.pone.0265473
  • ISSN: 1932-6203
  • Keywords: Multidisciplinary
  • Origination:
  • Footnote:
  • Description: ObjectiveThis 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.MethodsData 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).ResultsAmong 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.ConclusionOur 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.
  • Access State: Open Access