Evaluation of a frailty index based on a comprehensive geriatric assessment in a population based study of elderly Canadians.
OBJECTIVE
Objectives were to develop a frailty index (FI) based on a standard comprehensive geriatric assessment (CGA) derived from a clinical examination; to assess the validity of the FI-CGA and to compare its precision with other frailty measures.


METHODS



METHODS
Secondary analysis of a prospective cohort study, with five-year follow-up data.


METHODS
Second phase of the Canadian Study of Health and Aging (CSHA-2); clinical examinations were performed in clinics, nursing homes, and patients' homes.


METHODS
People selected (as either cognitively impaired cases or unimpaired controls) to receive the CSHA-2 clinical examination (n = 2305; women = 1431).


METHODS
Clinical and performance-based measures and diagnostic data were extracted to correspond to the 10 impairment domains and the single comorbidity domain of a CGA. The proportion of deficits accumulated in each domain was calculated to yield the FI-CGA. The FI-CGA was validated and its predictive ability compared with other frailty measures.


RESULTS
Within the seven grades of fitness/frailty identified, subjects with greater frailty were older, less educated, and more likely to be women. The FI-CGA correlated highly with a previously validated, empirically-derived frailty index (r = 0.76). Frailty was associated with higher risk of death (for each increment in frailty, the hazard ratio, adjusted for age, sex and education, was 1.23 (95% CI 1.18-1.29) and institutionalization (HR 1.20; 1.10-1.32).


CONCLUSIONS
In a population survey, the FI-CGA is a valid means of quantifying frailty from routinely collected data.
Faculty of Medicine, Memorial University, St. John's, Canada.
David
D
Jones
Xiaowei
X
Song
Arnold
A
Mitnitski
Kenneth
K
Rockwood
D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D002170:Canada / Q000453:epidemiology; D003072:Cognition Disorders / Q000401:mortality* / Q000503:physiopathology; D015331:Cohort Studies; D015897:Comorbidity; D004185:Disability Evaluation; D005260:Female; D005500:Follow-Up Studies; D016330:Frail Elderly / Q000706:statistics & numerical data*; D015577:Geriatric Assessment / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D011237:Predictive Value of Tests; D012307:Risk Factors