4.5 Article

Comparison of two frailty indices in the physicians' health study

期刊

ARCHIVES OF GERONTOLOGY AND GERIATRICS
卷 71, 期 -, 页码 21-27

出版社

ELSEVIER IRELAND LTD
DOI: 10.1016/j.archger.2017.02.009

关键词

Frailty; Frailty Index; Mortality

资金

  1. National Cancer Institute [CA-34944, CA-40360, CA-097193]
  2. NHLBI, Bethesda, MD [HL-26490, HL-34595]
  3. John A. Hartford Foundation
  4. Centers of Excellence National Program
  5. NIH [AG000158]
  6. Veterans Administration Merit Award [1I01CX000934-01A1]
  7. AFAR

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Background: As the population ages it is important to identify frailty, a powerful predictor of morbidity and mortality, and often an important unmeasured confounder. We sought to develop a frailty index in the Physician's Health Study (PHS) and estimate the association with mortality. Methods: Prospective cohort study. Annual questionnaire assessed mood, function and health status. Two frailty scores were compared - cumulative deficit frailty index (PHS FI) and modified Study of Osteoporotic Fracture (mSOF) frailty score. Endpoints committee confirmed mortality. Results: 12,180 male physicians >60 years were analyzed. Mean(SD) follow-up was 10(3) years, 2168 deaths occurred. PHS FI identified 4412 (36%) physicians robust, 5305 (44%) pre-frail, and 2463 (20%) frail, while mSOF identified 7323 (61%) robust, 3505 (29%) pre-frail and 1215 (10%) frail. Age-standardized rate of death was lower among subjects identified as robust using the PHS FI, 11/1000 person-years (PY) (95% Confidence Interval (CI): 9.5-11.9) compared to 14/1000PY (95% CI: 13.5-15.4) using mSOF [P-difference < 0.001]. In the prefrail group, death rates were 16/1000PY in PHS FI and 21/1000PY in mSOF, [P-difference < 0.001]. There was no difference in age-adjusted mortality rates in the frail group according to each definition (35 vs 33/1000PY). Survival analysis showed an increased risk of mortality in each frailty category using either definition, (log-rank p < 0.001). Conclusion: The PHS FI outperformed mSOF in identifying risk of death particularly in robust and pre-frail categories. Similar indices can be created in existing datasets to identify frail individuals and where appropriate account for frailty, an often unmeasured confounder. Published by Elsevier Ireland Ltd.

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