Identifying and quantifying robust risk factors for mortality in critically ill patients with COVID-19 using quantile regression

OBJECTIVE: Many laboratory indicators form a skewed distribution with outliers in critically ill patients with COVID-19, for which robust methods are needed to precisely determine and quantify fatality risk factors. METHOD: A total of 192 critically ill patients (142 were discharged and 50 died in t...

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Detalles Bibliográficos
Autores principales: Linli, Zeqiang, Chen, Yinyin, Tian, Guoliang, Guo, Shuixia, Fei, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467869/
https://www.ncbi.nlm.nih.gov/pubmed/33046291
http://dx.doi.org/10.1016/j.ajem.2020.08.090

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467869/
https://www.ncbi.nlm.nih.gov/pubmed/33046291
http://dx.doi.org/10.1016/j.ajem.2020.08.090

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