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

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. Method A total of 307 patients with severe or critical COVID-19 admitted to Peking University Third...

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Bibliographic Details
Main Authors: Yinmei Zhang, Mingmei Lin, Zhenchao Wu, Zhongyu Han, Liyan Cui, Jiajia Zheng
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Infectious Diseases
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Online Access:https://doi.org/10.1186/s12879-025-11112-0
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