Cumulative deficits better characterize susceptibility to death in elderly people than phenotypic frailty: lessons from the Cardiovascular Health Study.
OBJECTIVE
To compare how well frailty measures based on a phenotypic frailty approach proposed in the Cardiovascular Health Study (CHS) and a cumulative deficits approach predict mortality.


METHODS
Cohort study.


METHODS
The main cohort of the CHS.


METHODS
Four thousand seven hundred twenty-one individuals.


METHODS
A phenotypic frailty index (PFI) was defined in the same way as proposed in the CHS: assessing weight loss, exhaustion, low physical activity, slowness, and poor grip strength. A cumulative deficit index (DI) was defined based on 48 elderly deficits (signs, symptoms, impairments, diseases) included in the index, with equal weights.


RESULTS
Of the 1,073 frailest individuals with the lowest survival, the PFI, categorized as proposed in the CHS into robust, prefrail, and frail categories, underestimated the risk of death for 720 persons, whereas the DI categorized into the same three frailty categories underestimated the mortality risk for 134 persons. The higher power of the DI for discriminating frail individuals in their susceptibility to death also followed from comparison of quasi-instantaneous values of both indices. The three-level DI identified 219 individuals as frail of 361 individuals identified as frail according to the three-level PFI.


CONCLUSIONS
The DI can more precisely evaluate chances of death because it assesses a broader spectrum of disorders than the PFI. Both indices appear to be frailty related. Integration of both approaches is highly promising for increasing the precision of discrimination of the risk of death and especially for identification of the most vulnerable elderly people.
Kulminski
Alexander M
AM
Center for Population Health and Aging, Duke University, Durham, North Carolina 27708, USA. Alexander.Kulminski@duke.edu
Ukraintseva
Svetlana V
SV
Kulminskaya
Irina V
IV
Arbeev
Konstantin G
KG
Land
Kenneth
K
Yashin
Anatoli I
AI
D000368:Aged; D000369:Aged, 80 and over; D002908:Chronic Disease / Q000401:mortality*; D015331:Cohort Studies; D005221:Fatigue / Q000401:mortality; D005260:Female; D016330:Frail Elderly / Q000706:statistics & numerical data*; D015577:Geriatric Assessment / Q000706:statistics & numerical data; D018737:Hand Strength; D006305:Health Status Indicators; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D009043:Motor Activity; D011930:Reaction Time; D018570:Risk Assessment / Q000706:statistics & numerical data; D012680:Sensitivity and Specificity; D016019:Survival Analysis; D015431:Weight Loss