Conventional risk prediction models fail to accurately predict mortality risk among patients with coronavirus disease 2019 in intensive care units: a difficult time to assess clinical severity and quality of care.
Coronavirus disease 2019
Intensive care unit
Quality improvement
Risk of death
Risk prediction model
Journal
Journal of intensive care
ISSN: 2052-0492
Titre abrégé: J Intensive Care
Pays: England
ID NLM: 101627304
Informations de publication
Date de publication:
01 Jun 2021
01 Jun 2021
Historique:
received:
08
04
2021
accepted:
25
05
2021
entrez:
2
6
2021
pubmed:
3
6
2021
medline:
3
6
2021
Statut:
epublish
Résumé
Since the start of the coronavirus disease 2019 (COVID-19) pandemic, it has remained unknown whether conventional risk prediction tools used in intensive care units are applicable to patients with COVID-19. Therefore, we assessed the performance of established risk prediction models using the Japanese Intensive Care database. Discrimination and calibration of the models were poor. Revised risk prediction models are needed to assess the clinical severity of COVID-19 patients and monitor healthcare quality in ICUs overwhelmed by patients with COVID-19.
Identifiants
pubmed: 34074343
doi: 10.1186/s40560-021-00557-5
pii: 10.1186/s40560-021-00557-5
pmc: PMC8169380
doi:
Types de publication
Letter
Langues
eng
Pagination
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