A risk score based on baseline risk factors for predicting mortality in COVID-19 patients.
COVID-19
in-hospital
modeling
mortality
risk score
Journal
Current medical research and opinion
ISSN: 1473-4877
Titre abrégé: Curr Med Res Opin
Pays: England
ID NLM: 0351014
Informations de publication
Date de publication:
06 2021
06 2021
Historique:
pubmed:
18
3
2021
medline:
22
6
2021
entrez:
17
3
2021
Statut:
ppublish
Résumé
To develop a sensitive and clinically applicable risk assessment tool identifying coronavirus disease 2019 (COVID-19) patients with a high risk of mortality at hospital admission. This model would assist frontline clinicians in optimizing medical treatment with limited resources. 6415 patients from seven hospitals in Wuhan city were assigned to the training and testing cohorts. A total of 6351 patients from another three hospitals in Wuhan, 2169 patients from outside of Wuhan, and 553 patients from Milan, Italy were assigned to three independent validation cohorts. A total of 64 candidate clinical variables at hospital admission were analyzed by random forest and least absolute shrinkage and selection operator (LASSO) analyses. Eight factors, namely, The OURMAPCN score is a risk assessment tool to determine the mortality rate in COVID-19 patients based on a limited number of baseline parameters. This tool can assist physicians in optimizing the clinical management of COVID-19 patients with limited hospital resources.
Sections du résumé
BACKGROUND
To develop a sensitive and clinically applicable risk assessment tool identifying coronavirus disease 2019 (COVID-19) patients with a high risk of mortality at hospital admission. This model would assist frontline clinicians in optimizing medical treatment with limited resources.
METHODS
6415 patients from seven hospitals in Wuhan city were assigned to the training and testing cohorts. A total of 6351 patients from another three hospitals in Wuhan, 2169 patients from outside of Wuhan, and 553 patients from Milan, Italy were assigned to three independent validation cohorts. A total of 64 candidate clinical variables at hospital admission were analyzed by random forest and least absolute shrinkage and selection operator (LASSO) analyses.
RESULTS
Eight factors, namely,
CONCLUSIONS
The OURMAPCN score is a risk assessment tool to determine the mortality rate in COVID-19 patients based on a limited number of baseline parameters. This tool can assist physicians in optimizing the clinical management of COVID-19 patients with limited hospital resources.
Identifiants
pubmed: 33729889
doi: 10.1080/03007995.2021.1904862
pmc: PMC8054492
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM