Predictors of mortality and institutionalization after hip fracture: the New Haven EPESE cohort. Established Populations for Epidemiologic Studies of the Elderly

Am J Public Health. 1994 Nov;84(11):1807-12. doi: 10.2105/ajph.84.11.1807.

Abstract

Objectives: Hip fractures can have devastating effects on the lives of older individuals. We determined the frequency of occurrence of hip fracture and the baseline factors predicting death and institutionalization at 6 months after hip fracture.

Methods: A representative cohort of 2812 individuals aged 65 years and older was followed prospectively for 6 years. Hip fractures were identified, and the occurrence of death and institutionalization within 6 months of the fracture was determined. Prefracture information on physical and mental function, social support, and demographic features and in-hospital data on comorbid diagnoses, fracture site, and complications were analyzed to determine predictors of death and institutionalization after hip fracture.

Results: Of 120 individuals suffering a hip fracture, 22 (18%) died within 6 months and 35 (29%) were institutionalized at 6 months. The predictors of death in multiple logistic regression included fracture site, a high number of comorbid conditions, a high number of complications, and poor baseline mental status. The primary predictor of institutionalization was poor baseline mental status.

Conclusions: The frequency of death, institutionalization, and loss of function after hip fracture should prompt a reevaluation of the current approach to this problem.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Activities of Daily Living
  • Aged
  • Aged, 80 and over
  • Comorbidity
  • Connecticut / epidemiology
  • Female
  • Geriatric Assessment
  • Health Status
  • Hip Fractures / complications*
  • Hip Fractures / mortality*
  • Humans
  • Incidence
  • Institutionalization / statistics & numerical data*
  • Logistic Models
  • Male
  • Mental Health
  • Population Surveillance*
  • Predictive Value of Tests
  • Prospective Studies
  • Risk Factors
  • Social Support