Cargando…
Development and Validation of a Predictive Nomogram with Age and Laboratory Findings for Severe COVID-19 in Hunan Province, China
PURPOSE: To identify more objectively predictive factors of severe outcome among patients hospitalized for coronavirus disease 2019 (COVID-19). PATIENTS AND METHODS: A retrospective cohort of 479 hospitalized patients diagnosed with COVID-19 in Hunan Province was selected. The prognostic effects of...
Autores principales: | Jiang, Junyi, Zhong, WeiJun, Huang, WeiHua, Gao, Yongchao, He, Yijing, Li, Xi, Liu, Zhaoqian, Zhou, Honghao, Fu, Yacheng, Liu, Rong, Zhang, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123913/ https://www.ncbi.nlm.nih.gov/pubmed/35607424 http://dx.doi.org/10.2147/TCRM.S361936 |
Ejemplares similares
-
The Epidemiological Characteristics of Stroke in Hunan Province, China
por: He, Wei, et al.
Publicado: (2018) -
Risk of Metformin in Patients With Type 2 Diabetes With COVID‐19: A Preliminary Retrospective Report
por: Gao, Yongchao, et al.
Publicado: (2020) -
Early Prediction Model for Critical Illness of Hospitalized COVID-19 Patients Based on Machine Learning Techniques
por: Fu, Yacheng, et al.
Publicado: (2022) -
Prevalence of Breastfeeding: Findings from the First Health Service Household Interview in Hunan Province, China
por: Qin, Hong, et al.
Publicado: (2017) -
Seroprevalence of Toxoplasma gondii Infection in Sows in Hunan Province, China
por: Xu, Ying, et al.
Publicado: (2014)