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Meta Analysis
Obesity a predictor of outcomes of COVID-19 hospitalized patients-A systematic review and meta-analysis.
- Preeti Malik, Urvish Patel, Karan Patel, Mehwish Martin, Chail Shah, Deep Mehta, Faizan Ahmad Malik, and Ashish Sharma.
- Department of Public Health, Icahn School of Medicine at Mount Sinai, New York, USA.
- J. Med. Virol. 2021 Feb 1; 93 (2): 1188-1193.
AbstractCoronavirus disease 2019 (COVID-19) pandemic is a global health crisis. Very few studies have reported association between obesity and severity of COVID-19. In this meta-analysis, we assessed the association of obesity and outcomes in COVID-19 hospitalized patients. Data from observational studies describing the obesity or body mass index and outcomes of COVID-19 hospitalized patients from December 1, 2019, to August 15, 2020, was extracted following PRISMA guidelines with a consensus of two independent reviewers. Adverse outcomes defined as intensive care units, oxygen saturation less than 90%, invasive mechanical ventilation, severe disease, and in-hospital mortality. The odds ratio (OR) and 95% confidence interval (95% CI) were obtained and forest plots were created using random-effects models. A total of 10 studies with 10,233 confirmed COVID-19 patients were included. The overall prevalence of obesity in our study was 33.9% (3473/10,233). In meta-analysis, COVID-19 patient with obesity had higher odds of poor outcomes compared with better outcomes with a pooled OR of 1.88 (95% CI: 1.25-2.80; p = 0.002), with 86% heterogeneity between studies (p < 0.00001). Our study suggests a significant association between obesity and COVID-19 severity and poor outcomes. Our results findings may have important suggestions for the clinical management and future research of obesity and COVID-19.© 2020 Wiley Periodicals LLC.
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