Cargando…
CIRPMC: An online model with simplified inflammatory signature to predict the occurrence of critical illness in patients with COVID‐19
Autores principales: | Gao, Yue, Chen, Lingxi, Zeng, Shaoqing, Feng, Xikang, Chi, JianHua, Wang, Ya, Li, Huayi, Jiang, Tengping, Yu, Yang, Jiao, XiaoFei, Liu, Dan, Feng, XinXia, Wang, SiYuan, Yu, RuiDi, Yuan, Yuan, Xu, Sen, Cai, Guangyao, Xiong, Xiaoming, Chen, Pingbo, Mo, Qingqing, Jin, Xin, Wu, Yuan, Ma, Ding, Li, Chunrui, Li, Shuai Cheng, Gao, Qinglei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577323/ https://www.ncbi.nlm.nih.gov/pubmed/33135353 http://dx.doi.org/10.1002/ctm2.210 |
Ejemplares similares
-
Development and validation of an online model to predict critical COVID-19 with immune-inflammatory parameters
por: Gao, Yue, et al.
Publicado: (2021) -
Immunity‐modulated sex disparity on COVID‐19 prognosis
por: Liu, Dan, et al.
Publicado: (2020) -
In-hospital use of ACEI/ARB is associated with lower risk of mortality and critic illness in COVID-19 patients with hypertension
por: Yuan, Yuan, et al.
Publicado: (2020) -
Risk factors for developing into critical COVID-19 patients in Wuhan, China: A multicenter, retrospective, cohort study
por: Liu, Dan, et al.
Publicado: (2020) -
A real‐world study of glucocorticoid treatment in COVID‐19 patients with different disease severities
por: Jiao, Xiaofei, et al.
Publicado: (2020)