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《AJPM，5月27日，Clinical Characteristics, Associated Factors, and Predicting COVID-19 Mortality Risk: A Retrospective Study in Wuhan, China》

  • 来源专题：COVID-19科研动态监测
  • 编译者： zhangmin
  • 发布时间：2020-05-28

  • Clinical Characteristics, Associated Factors, and Predicting COVID-19 Mortality Risk: A Retrospective Study in Wuhan, China

    Author links open overlay panelCaizhengYuMPH1QingLeiPhD2WenkaiLiPhD3XiongWangPhD4WeiLiuMPH1XionglinFanPhD2WengangLiMPH1

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    https://doi.org/10.1016/j.amepre.2020.05.002

    Introduction

    Coronavirus disease 2019 (COVID-19) has become a serious global pandemic. This study investigates the clinical characteristics and risk factors for COVID-19 mortality, and establishes a novel scoring system to predict mortality risk in COVID-19 patients.

    Methods

    A cohort of 1,663 hospitalized COVID-19 patients in Wuhan, China, of whom 212 died and 1,252 recovered, were included in the present study. Demographic, clinical, and laboratory data on admission were collected from electronic medical records between January 14, 2020, and February 28, 2020. Clinical outcomes were collected until March 26, 2020. Multivariable logistic regression was used to explore the association between potential risk factors and COVID-19 mortality. The receiver operating characteristic curve was used to predict COVID-19 mortality risk. All analyses were conducted in April 2020.

  • 原文来源：https://www.sciencedirect.com/science/article/pii/S074937972030218X
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