A predictive index for functional decline in hospitalized elderly medical patients

J Gen Intern Med. 1993 Dec;8(12):645-52. doi: 10.1007/BF02598279.

Abstract

Objective: To prospectively develop and validate a predictive index to identify on admission elderly hospitalized medical patients at risk for functional decline.

Design: Two prospective cohort studies, in tandem. The predictive model developed in the initial cohort was subsequently validated in a separate cohort.

Setting: General medical wards of a university teaching hospital.

Patients: For the development cohort, 188 hospitalized general medical patients aged > or = 70 years. For the validation cohort, 142 comparable patients.

Measurement and main results: The subjects and their nurses were interviewed twice weekly using standardized, validated instruments. Functional decline occurred among 51/188 (27%) patients in the development cohort. Four independent baseline risk factors (RFs) for functional decline were identified: decubitus ulcer (adjusted relative risk [RR] 2.7; 95% confidence interval [CI] 1.4, 5.2); cognitive impairment (RR 1.7; CI 0.9, 3.1); functional impairment (RR 1.8; CI 1.0, 3.3); and low social activity level (RR 2.4; CI 1.2, 5.1). A risk-stratification system was developed by adding the numbers of RFs. Rates of functional decline for the low- (0 RF), intermediate- (1-2 RFs), and high- (3-4 RFs) risk groups were 8%, 28%, and 63%, respectively (p < 0.0001). The corresponding rates in the validation cohort, of whom 34/142 (24%) developed functional decline, were 6%, 29%, and 83% (p < 0.0001). The rates of death or nursing home placement, clinical outcomes associated with functional decline in the hospital, were 6%, 19%, and 41% (p < 0.002) in the development cohort and 10%, 32%, and 67% (p < 0.001) in the validation cohort, respectively, for the three risk groups.

Conclusions: Functional decline among hospitalized elderly patients is common, and a simple predictive model based on four risk factors can be used on admission to identify elderly persons at greatest risk.

Publication types

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

MeSH terms

  • Activities of Daily Living*
  • Aged
  • Aged, 80 and over
  • Chi-Square Distribution
  • Cohort Studies
  • Connecticut
  • Female
  • Geriatric Assessment*
  • Hospital Bed Capacity, 500 and over
  • Hospitals, University / statistics & numerical data*
  • Humans
  • Likelihood Functions
  • Male
  • Multivariate Analysis
  • Prevalence
  • Proportional Hazards Models
  • Prospective Studies
  • Reproducibility of Results
  • Risk Factors
  • Single-Blind Method