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Meta-Analysis
. 2021 Apr:117:154373.
doi: 10.1016/j.metabol.2020.154373. Epub 2020 Sep 16.

Association of body mass index (BMI) with critical COVID-19 and in-hospital mortality: A dose-response meta-analysis

Affiliations
Meta-Analysis

Association of body mass index (BMI) with critical COVID-19 and in-hospital mortality: A dose-response meta-analysis

Yanbin Du et al. Metabolism. 2021 Apr.

Abstract

Background and purpose: The coronavirus disease 2019 (COVID-19) pandemic presents an unprecedented health crisis to the entire world. As reported, the body mass index (BMI) may play an important role in COVID-19; however, this still remains unclear. The aim of this study was to explore the association between BMI and COVID-19 severity and mortality.

Methods: The Medline, PubMed, Embase and Web of science were systematically searched until August 2020. Random-effects models and dose-response meta-analysis were used to synthesize the results. Combined odds ratios (ORs) with their 95% confidence intervals (CIs) were calculated, and the effect of covariates were analyzed using subgroup analysis and meta-regression analyses.

Results: A total of 16 observational studies involving 109,881 patients with COVID-19 were included in the meta-analysis. The pooled results showed that patients with a BMI ≥ 30 kg/m2 had a 2.35-fold risk (OR = 2.35, 95%CI = 1.64-3.38, P < 0.001) for critical COVID-19 and a 2.68-fold risk for COVID-19 mortality (OR = 2.68, 95%CI = 1.65-4.37, P < 0.001) compared with patients with a BMI <30 kg/m2. Subgroup analysis results showed that patients with obesity and age > 60 years was associated with a significantly increased risk of critical COVID-19 (OR = 3.11, 95%CI = 1.73-5.61, P < 0.001) and COVID-19 mortality (OR = 3.93, 95%CI = 2.18-7.09, P < 0.001). Meta-regression analysis results also showed that age had a significant influence on the association between BMI and COVID-19 mortality (Coef. = 0.036, P = 0.048). Random-effects dose-response meta-analysis showed a linear association between BMI and both critical COVID-19(Pnon-linearity = 0.242) and mortality (Pnon-linearity = 0.116). The risk of critical COVID-19 and mortality increased by 9%(OR = 1.09, 95%CI = 1.04-1.14, P < 0.001) and 6%(OR = 1.06, 95%CI = 1.02-1.10, P = 0.002) for each 1 kg/m2 increase in BMI, respectively.

Conclusions: Evidence from this meta-analysis suggested that a linear dose-response association between BMI and both COVID-19 severity and mortality. Further, obesity (BMI ≥ 30 kg/m2) was associated with a significantly increased risk of critical COVID-19 and in-hospital mortality of COVID-19.

Keywords: BMI; Body mass index; COVID-19; Meta-analysis; Obesity.

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Conflict of interest statement

Declaration of competing interest The authors declare that there are no conflicts of interest.

Figures

Fig. 1
Fig. 1
Flowchart of the study procedure.
Fig. 2
Fig. 2
Effects of BMI > 30 kg/m2 vs. BMI < 30 kg/m2 on COVID-19 severity.
Fig. 3
Fig. 3
Meta-analysis based on the adjusted effect estimates to explore the effect of BMI > 30 kg/m2 vs. BMI < 30 kg/m2 on COVID-19 severity.
Fig. 4
Fig. 4
Effects of BMI > 30 kg/m2 vs. BMI < 30 kg/m2 on COVID-19 mortality.
Fig. 5
Fig. 5
Meta-analysis based on the adjusted effect estimates to explore the effect of BMI > 30 kg/m2 vs. BMI < 30 kg/m2 on COVID-19 mortality.
Fig. 6
Fig. 6
Random-effects meta-regression analysis to explore the effect of age on association between BMI > 30 kg/m2 and COVID-19 severity (a) and mortality (b).
Fig. 7
Fig. 7
Random-effects linear dose-response meta-analysis of the association between BMI and the risk of severe COVID-19(Pnon-linearity = 0.242). Solid line and long dashed lines represent odds ratio and its 95% confidence interval.
Fig. 8
Fig. 8
Random-effects linear dose-response meta-analysis of the association between BMI and COVID-19 mortality (Pnon-linearity = 0.116). Solid line and long dashed lines represent odds ratio and its 95% confidence interval.

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