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Heterogeneity of Human Aging and Its Assessment
#MMPMID27216811
Mitnitski A
; Howlett SE
; Rockwood K
J Gerontol A Biol Sci Med Sci
2017[Jul]; 72
(7
): 877-884
PMID27216811
show ga
Understanding the heterogeneity in health of older adults is a compelling
question in the biology of aging. We analyzed the performance of five measures of
health heterogeneity, judging them by their ability to predict mortality. Using
clinical and biomarker data on 1,013 participants of the Canadian Study of Health
and Aging who were followed for up to 6 years, we calculated two indices of
biological age using the Klemera and Doubal method, which controversially
includes using chronological age as a "biomarker," and three frailty indices
(FIs) that do not include chronological age: a standard clinical FI, an FI from
standard laboratory blood tests and blood pressure, and their combination
(FI-combined). Predictive validity was tested using Cox proportional hazards
analysis and discriminative ability by the area under the receiver-operating
characteristic curves. All five measures showed moderate performance that was
improved by combining measures to evaluate larger numbers of items. The greatest
addition in explanatory power came from the FI-combined that showed the best
mortality prediction in an age-adjusted model. More extensive comparisons across
different databases are required, but these results do not support including
chronological age as a biomarker.
|*Geriatric Assessment/methods/statistics & numerical data
[MESH]
|Aged
[MESH]
|Aged, 80 and over
[MESH]
|Aging/*physiology
[MESH]
|Biomarkers/*blood
[MESH]
|Blood Pressure Determination/*statistics & numerical data
[MESH]
|Canada/epidemiology
[MESH]
|Female
[MESH]
|Frail Elderly/*statistics & numerical data
[MESH]