Analysis of factors associated with death in critically ill patients with COVID-19.

Authors

Maximina de Barros Cunha, Dulce Aparecida Barbosa, Cassiane Dezoti da Fonseca, Matheus Santos Moitinho, Julia Yaeko Kawagoe

Published in

Revista brasileira de enfermagem. Volume 79. Pages e20250378. Epub Oct 19, 2026.

Abstract

to assess the factors associated with death in critically ill COVID-19 patients.
retrospective cohort of critically ill patients admitted to the Intensive Care Unit and infected with SARS-CoV-2, followed for 30 days, ≥ 18 years old, with a positive nasopharyngeal RT-PCR test for SARS-CoV-2. Descriptive analysis regarding the outcome, chi-square test, and backward stepwise multiple logistic regression model were used to describe predictor variables of sociodemographic and clinical characteristics.
715 patients were analyzed, of whom 70.8% (n=507) died and 29.1% (n=209) survived. In the multivariate analysis, death outcome dependent variables, such as age range of 61-80 years, > 80 years, invasive mechanical ventilation, dialysis, corticosteroids, vancomycin, platelets after 24 hours, and other antibiotics, were identified as risk factors, and the ROC curve (AUC=0.904) predicted the proposed model.
the multivariate model showed good discriminatory capacity, identifying independent factors associated with death in critically ill COVID-19 patients.

PMID:
42912114
Bibliographic data and abstract were imported from PubMed on 24 Oct 2026.

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