The association between obesity and ICU admission among COVID-19 patients: A meta-analysis of adjusted risk estimates

Up to now, a considerable number of studies reporting the association between obesity and ICU admission among COVID-19 patients using multivariable analysis adjusting for confounding factors with inconsistent findings have been published. [...]we performed a quantitative meta-analysis to estimate th...

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Bibliographic Details
Published inThe American journal of emergency medicine Vol. 56; pp. 318 - 320
Main Authors Wang, Ying, Hou, Hongjie, Xu, Jie, Wang, Yadong, Yang, Haiyan
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.06.2022
Elsevier Limited
Subjects
Bias
Conflicts of interest
Coronaviruses
COVID-19
COVID-19 - epidemiology
Emergency medical care
Epidemiology
Estimates
Hospitalization
Humans
Intensive care
Intensive Care Units
Meta-analysis
Obesity
Obesity - complications
Obesity - epidemiology
Public health
Risk Factors
SARS-CoV-2
Sensitivity analysis
Severe acute respiratory syndrome coronavirus 2
Software
Statistical analysis
South America
Asia
North America
Europe
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Summary:Up to now, a considerable number of studies reporting the association between obesity and ICU admission among COVID-19 patients using multivariable analysis adjusting for confounding factors with inconsistent findings have been published. [...]we performed a quantitative meta-analysis to estimate the risk factors-adjusted association between obesity and ICU admission among COVID-19 patients on the basis of adjusted effect estimates reported by all eligibly included studies. [...]this current meta-analysis based on adjusted effect estimates indicated that COVID-19 patients with obesity were at high risk for ICU admission. Haiyan Yang supervised the project, conceptualized the original idea, critically reviewed and revised all sections of the manuscript, and contributed in finalizing the manuscript.Conflicts of interest statement The authors declare that they have no any potential conflict of interest regarding this submitted manuscript.Acknowledgements We would like to thank Peihua Zhang, Yang Li, Jian Wu, Wenwei Xiao, Xuan Liang and Li Shi (All are from Department of Epidemiology, School of Public Health, Zhengzhou University) for their kind help in searching articles and collecting data, and valuable suggestions for analyzing data.
ISSN:0735-6757
1532-8171
DOI:10.1016/j.ajem.2021.08.054