key: cord-0839872-hshpyivz
authors: Liu, Menglu; Deng, Chao; Yuan, Ping; Ma, Jianyong; Yu, Peng; Chen, Jie; Zhao, Yujie; Liu, Xiao
title: Is there an exposure–effect relationship between body mass index and invasive mechanical ventilation, severity, and death in patients with COVID‐19? Evidence from an updated meta‐analysis
date: 2020-09-22
journal: Obes Rev
DOI: 10.1111/obr.13149
sha: df4f0cbec036e371c6043fbcda61aeb82daa9606
doc_id: 839872
cord_uid: hshpyivz

nan

Is there an exposure-effect relationship between body mass index and invasive mechanical ventilation, severity, and death in patients with COVID-19? Evidence from an updated meta-analysis were included in the meta-analysis according to the guidelines. 12, 13 Therefore, it could be more appropriate to mention the known limitations of these methods because of inadequate numbers of included trials to properly assess a funnel plot, rather than claiming use of any test and further possibility of publication bias.

This work was supported in part by the National Natural Science Foundation of China (No. 81760050, 81760048) and the Jiangxi F I G U R E 1 Exposureeffect impact of body mass index (BMI) on invasive mechanical ventilation (IMV), severity, and hospitalized death in patients with COVID19. Solid line in red represents fitted linear trend and corresponding upper/lower 95% confidence interval (CI); lines with long dashes in black represent fitted nonlinear trend and corresponding upper/lower 95% CI. (A) Exposureeffect association between BMI and IMV. P nonlinearity =.018, OR=1.43 (95% CI: 1.171.76) per 5kg/m 2 of BMI increment; (B) exposureeffect association between BMI and severe COVID19. P nonlinearity =0.031, OR=1.22 (95% CI: 1.131.31) per 5kg/m 2 of BMI increment; (C) exposureeffect association between BMI and hospitalized death. P nonlinearity =0.0067, OR=1.06 (95% CI: 1.031.09) per 5kg/m 2 of BMI increment

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