An algorithm to predict the need for invasive mechanical ventilation in hospitalized COVID-19 patients: the experience in Sao Paulo

BACKGROUND: We aimed to characterize patients hospitalized for coronavirus disease 2019 (COVID-19) and identify predictors of invasive mechanical ventilation (IMV). METHODS: We performed a retrospective cohort study in patients with COVID-19 admitted to a private network in Sao Paulo, Brazil from Ma...

Descripción completa

Detalles Bibliográficos
Autores principales: Osawa, Eduardo Atsushi, Maciel, Alexandre Toledo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Critical Care Medicine 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732209/
https://www.ncbi.nlm.nih.gov/pubmed/36203233
http://dx.doi.org/10.4266/acc.2022.00283

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732209/
https://www.ncbi.nlm.nih.gov/pubmed/36203233
http://dx.doi.org/10.4266/acc.2022.00283

Ejemplares similares