Predicting factors associated with prolonged intensive care unit stay of patients with COVID-19

BACKGROUND: Predicting the length of stay (LOS) for coronavirus disease 2019 (COVID-19) patients in the intensive care unit (ICU) is essential for efficient use of ICU resources. We analyzed the clinical characteristics of patients with severe COVID-19 based on their clinical care and determined the...

Descripción completa

Detalles Bibliográficos
Autores principales: Han, Won Ho, Lee, Jae Hoon, Chun, June Young, Choi, Young Ju, Kim, Youseok, Han, Mira, Kim, Jee Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Critical Care Medicine 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030246/
https://www.ncbi.nlm.nih.gov/pubmed/36935533
http://dx.doi.org/10.4266/acc.2022.01235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030246/
https://www.ncbi.nlm.nih.gov/pubmed/36935533
http://dx.doi.org/10.4266/acc.2022.01235

Ejemplares similares