Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID‑19: Study of a hospital cohort with very high mortality.
COVID-19
ROC curve
hospital mortality
sensitivity
severity of illness index
specificity
Journal
Biomedical reports
ISSN: 2049-9442
Titre abrégé: Biomed Rep
Pays: England
ID NLM: 101613227
Informations de publication
Date de publication:
Jun 2024
Jun 2024
Historique:
received:
12
02
2024
accepted:
12
04
2024
medline:
20
5
2024
pubmed:
20
5
2024
entrez:
20
5
2024
Statut:
epublish
Résumé
Clinical data from hospital admissions are typically utilized to determine the prognostic capacity of Coronavirus disease 2019 (COVID-19) indices. However, as disease status and severity markers evolve over time, time-dependent receiver operating characteristic (ROC) curve analysis becomes more appropriate. The present analysis assessed predictive power for death at various time points throughout patient hospitalization. In a cohort study involving 515 hospitalized patients (General Hospital Number 1 of Mexican Social Security Institute, Colima, Mexico from February 2021 to December 2022) with COVID-19, seven severity indices [Pneumonia Severity Index (PSI) PaO
Identifiants
pubmed: 38765855
doi: 10.3892/br.2024.1788
pii: BR-20-6-01788
pmc: PMC11099607
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100Informations de copyright
Copyright: © 2024 Mendoza-Hernandez et al.
Déclaration de conflit d'intérêts
The authors declare that they have no competing interests.