Prediction of in-hospital mortality with the 6-item Brief Geriatric Assessment tool: An observational prospective cohort study.

Détails

ID Serval
serval:BIB_A9BE5D2D3223
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Prediction of in-hospital mortality with the 6-item Brief Geriatric Assessment tool: An observational prospective cohort study.
Périodique
Maturitas
Auteur(s)
Launay C.P., Rivière H., Chabot J., Beauchet O.
ISSN
1873-4111 (Electronic)
ISSN-L
0378-5122
Statut éditorial
Publié
Date de publication
04/2018
Peer-reviewed
Oui
Volume
110
Pages
57-61
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
The 6-item Brief Geriatric Assessment (BGA) is a screening tool to identify frail inpatients who are at risk of adverse health events. Its predictive value for in-hospital mortality has not been examined yet.
This study examined whether the BGA is able to predict in-hospital mortality in older patients.
A total of 1082 participants were included in this observational prospective cohort study. At their admission to the medical wards of Angers University Hospital (France), all inpatients aged ≥65 years were screened with the BGA. Its 6 items are: age ≥85 years, male gender, polypharmacy (i.e., ≥5 drugs per day), non-use of home-help services, history of falls in the previous 6 months, and temporal disorientation (i.e., inability to give the month and/or year). Three levels (low, intermediate and high) of risk of adverse health events had previously been identified, based on different combinations of BGA items. Patients were separated into 2 groups using the occurrence of in-hospital death. The length of stay was calculated as the number of days in hospital using the hospital registry. The use of psychoactive drugs and the reason for admission were used as covariates.
Older inpatients who died were more frequently admitted for an acute organ failure (P < 0.001). Cox regression models showed that a priori intermediate risk (HR = 1.89, P < .001) and high risk (HR = 2.34, P < .001) risk levels predicted in-hospital mortality. Kaplan-Meier survival curves confirmed that inpatients at high risk (P = .047) and those at intermediate risk (P = .013) died earlier than patients at low risk.
Combinations of items on the BGA successfully predicted the risk of in-hospital mortality in this sample of older inpatients.
Mots-clé
Elderly patients, Epidemiology, In-hospital mortality, Prediction
Pubmed
Web of science
Création de la notice
29/03/2018 20:57
Dernière modification de la notice
20/08/2019 16:13
Données d'usage