Derivation and Validation of a Mortality-risk Index from a Cohort of Frail Elderly Patients Hospitalised in Medical Wards Via Emergencies: the SAFES Study
Overview
Authors
Affiliations
To identify predictive factors for 2-year mortality in frail elderly patients after acute hospitalisation, and from these to derive and validate a Mortality Risk Index (MRI). A prospective cohort of elderly patients was set up in nine teaching hospitals. This cohort was randomly split up into a derivation cohort (DC) of 870 subjects and a validation cohort (VC) of 436 subjects. Data obtained from a Comprehensive Geriatric Assessment were used in a Cox model to predict 2-year mortality and to identify risk groups for mortality. A ROC analysis was performed to explore the validity of the MRI. Five factors were identified and weighted using hazard ratios to construct the MRI: age 85 or over (1 point), dependence for the ADL (1 point), delirium (2 points), malnutrition risk (2 points), and co-morbidity level (2 points for medium level, 3 points for high level). Three risk groups were identified according to the MRI. Mortality rates increased significantly across risk groups in both cohorts. In the DC, mortality rates were: 20.8% in the low-risk group, 49.6% in the medium-risk group, and 62.1% in the high-risk group. In the VC, mortality rates were respectively 21.7, 48.5, and 65.4%. The area under the ROC curve for overall score was statistically the same in the DC (0.72) as in the VC (0.71). The proposed MRI appears as a simple and easy-to-use tool developed from relevant geriatric variables. Its accuracy is good and the validation procedure gives a good stability of results.
The frail patient undergoing cardiac surgery: lessons learned and future perspectives.
Pozzi M, Mariani S, Scanziani M, Passolunghi D, Bruni A, Finazzi A Front Cardiovasc Med. 2023; 10:1295108.
PMID: 38124896 PMC: 10731467. DOI: 10.3389/fcvm.2023.1295108.
Validation and Comparison of Four Mortality Prediction Models in a Geriatric Ward in China.
Li Y, Liu X, Kang L, Li J Clin Interv Aging. 2023; 18:2009-2019.
PMID: 38053653 PMC: 10695131. DOI: 10.2147/CIA.S429769.
Drame M, Volberg A, Kanagaratnam L, Coutureau C, Godaert L Geriatrics (Basel). 2023; 8(3).
PMID: 37367099 PMC: 10297864. DOI: 10.3390/geriatrics8030067.
Zulfiqar A, Dembele I, Andres E Medicines (Basel). 2023; 10(3).
PMID: 36976311 PMC: 10056240. DOI: 10.3390/medicines10030022.
Suarez-Dono J, Novo-Veleiro I, Gude-Sampedro F, Marinho R, Xavier-Pires S, Rocha D Sci Rep. 2023; 13(1):4068.
PMID: 36906719 PMC: 10008559. DOI: 10.1038/s41598-023-30610-2.