A predictive score for progression of COVID-19 in hospitalized persons: a cohort study

A predictive score for progression of COVID-19 in hospitalized persons: a cohort study

Abstract Accurate prediction of the risk of progression of coronavirus disease (COVID-19) is needed at the time of hospitalization. Logistic regression analyses are used to interrogate clinical and laboratory co-variates from every hospital admission from an area of 2 million people with sporadic ca...

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Bibliographic Details
Main Authors: Jingbo Xu, Weida Wang, Honghui Ye, Wenzheng Pang, Pengfei Pang, Meiwen Tang, Feng Xie, Zhitao Li, Bixiang Li, Anqi Liang, Juan Zhuang, Jing Yang, Chunyu Zhang, Jiangnan Ren, Lin Tian, Zhonghe Li, Jinyu Xia, Robert P. Gale, Hong Shan, Yang Liang
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:npj Primary Care Respiratory Medicine
Online Access:https://doi.org/10.1038/s41533-021-00244-w

Internet

https://doi.org/10.1038/s41533-021-00244-w

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