Risk factors of mortality and contribution of treatment in patients infected with COVID-19: a retrospective propensity score matched study.

Current Medical Research and Opinion
Yu WangWeimin Xiao

Abstract

Coronavirus disease 2019 (COVID-19) has now brought major challenges to public health and the economy globally since December 2019, which requires effective treatment and prevention strategies to adapt to the impact of the pandemic. We, therefore, explored the prognostic factors for patients with COVID-19 and the contribution of immunomodulatory therapy on COVID-19 outcome. From 1 February to 16 March 2020, consecutive cases with COVID-19 were analyzed in the West Campus of Wuhan Union Hospital, a tertiary care center that is designated to care for patients with COVID-19 in Wuhan, China. The observation was based on follow-up until in-hospital death or discharge. Logistic regressions were performed for prognostic factors associated with in-hospital death. Furthermore, a propensity score-matched analysis was done using a multivariable logistic regression model to analyze the contributions of multiple treatments on COVID-19 death. Three hundred and seventeen patients with COVID-19 were enrolled, of whom 269 were discharged and 48 died in hospital. After propensity score matching based on age, gender, symptoms and comorbidities, multivariable logistic regression was performed with the adjustment of other variables that were signif...Continue Reading

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Citations

Apr 27, 2021·The American Journal of Emergency Medicine·Tao LiuJingjing Zhang
Aug 20, 2021·Frontiers in Immunology·Jiao LiuDechang Chen

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Clinical Trials Mentioned

NCT04244591
NCT02517489

Software Mentioned

SAS

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