Development of a risk prediction model for secondary infection in severe/critical COVID-19 patients.

Journal: BMC infectious diseases
Published Date: May 21, 2025

Abstract

OBJECTIVE: This study aimed to develop a predictive model for secondary infections in patients with severe or critical COVID-19 by analyzing clinical characteristics and laboratory indicators.

Authors

  • Yinmei Zhang
    Department of Laboratory Medicine, Peking University Third Hospital, Haidian District, No. 49 North Garden Road, Beijing, 100191, People's Republic of China.
  • Mingmei Lin
    Department of Obstetrics and Gynecology, Peking University Third Hospital, Haidian District, No. 49 North Garden Road, Beijing, 100191, People's Republic of China.
  • Zhenchao Wu
    Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Haidian District, No. 49 North Garden Road, Beijing, 100191, People's Republic of China.
  • Zhongyu Han
    Department of Laboratory Medicine, Peking University Third Hospital, Haidian District, No. 49 North Garden Road, Beijing, 100191, People's Republic of China.
  • Liyan Cui
    Department of Laboratory Medicine, Peking University Third Hospital, Haidian District, No. 49 North Garden Road, Beijing, 100191, People's Republic of China. cliyan@163.com.
  • Jiajia Zheng
    Laboratory of Theoretical and Computational Nanoscience, National Center for Nanoscience and Technology of China, Beijing, 100190, P. R. China.

Keywords

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