Derivation and Validation of a Mortality-Risk Index From a Cohort of Frail Elderly Patients Hospitalised in Medical Wards via Emergencies: The SAFES Study

Eur J Epidemiol. 2008;23(12):783-91. doi: 10.1007/s10654-008-9290-y. Epub 2008 Oct 21.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Emergency Service, Hospital
  • Female
  • Frail Elderly* / statistics & numerical data
  • France / epidemiology
  • Geriatric Assessment / methods*
  • Hospitals, Teaching
  • Humans
  • Interviews as Topic
  • Male
  • Mortality*
  • Prognosis
  • Proportional Hazards Models
  • ROC Curve
  • Risk Assessment / methods*
  • Severity of Illness Index*