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

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 cases. From...

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Detalles Bibliográficos
Autores principales: Xu, Jingbo, Wang, Weida, Ye, Honghui, Pang, Wenzheng, Pang, Pengfei, Tang, Meiwen, Xie, Feng, Li, Zhitao, Li, Bixiang, Liang, Anqi, Zhuang, Juan, Yang, Jing, Zhang, Chunyu, Ren, Jiangnan, Tian, Lin, Li, Zhonghe, Xia, Jinyu, Gale, Robert P., Shan, Hong, Liang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175565/
https://www.ncbi.nlm.nih.gov/pubmed/34083541
http://dx.doi.org/10.1038/s41533-021-00244-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175565/
https://www.ncbi.nlm.nih.gov/pubmed/34083541
http://dx.doi.org/10.1038/s41533-021-00244-w

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