The performance of the Dutch Safety Management System frailty tool to predict the risk of readmission or mortality in older hospitalised cardiac patients ...

Abstract Background Early identification of older cardiac patients at high risk of readmission or mortality facilitates targeted deployment of preventive interventions. In the Netherlands, the frailty tool of the Dutch Safety Management System (DSMS-tool) consists of (the risk of) delirium, falling, functional impairment, and malnutrition and is currently used in all older hospitalised patients. However, its predictive performance in older cardiac patients is unknown. Aim To estimate the performance of the DSMS-tool alone and combined with other predictors in predicting hospital readmission or... Mehr ...

Verfasser: Jepma, Patricia
Verweij, Lotte
Tijssen, Arno
Heymans, Martijn W.
Flierman, Isabelle
Latour, Corine H. M.
Peters, Ron J. G.
Reimer, Wilma J. M. Scholte Op
Buurman, Bianca M.
Riet, Gerben Ter
Dokumenttyp: Datenquelle
Erscheinungsdatum: 2021
Verlag/Hrsg.: figshare
Schlagwörter: Space Science / Medicine / Neuroscience / Biotechnology / 80699 Information Systems not elsewhere classified / FOS: Computer and information sciences / Cancer
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-28983887
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dx.doi.org/10.6084/m9.figshare.c.5417285

Abstract Background Early identification of older cardiac patients at high risk of readmission or mortality facilitates targeted deployment of preventive interventions. In the Netherlands, the frailty tool of the Dutch Safety Management System (DSMS-tool) consists of (the risk of) delirium, falling, functional impairment, and malnutrition and is currently used in all older hospitalised patients. However, its predictive performance in older cardiac patients is unknown. Aim To estimate the performance of the DSMS-tool alone and combined with other predictors in predicting hospital readmission or mortality within 6 months in acutely hospitalised older cardiac patients. Methods An individual patient data meta-analysis was performed on 529 acutely hospitalised cardiac patients ≥70 years from four prospective cohorts. Missing values for predictor and outcome variables were multiply imputed. We explored discrimination and calibration of: (1) the DSMS-tool alone; (2) the four components of the DSMS-tool and adding ...