Comparison of alternate scoring of variables on the performance of the frailty index

BMC Geriatrics

Research Article

Evelyne A Gahbauer¹  Thomas M Gill¹  Susan Kirkland²  Fernando G Peña³  Lindsay Wallace³  Olga Theou³  Thomas D Brothers³  Arnold Mitnitski⁴  Kenneth Rockwood⁵ 

[1]Department of Internal Medicine, Yale School of Medicine, 06504, New Haven, CT, USA

[2]Department of Medicine, Dalhousie University, Halifax, NS, Canada

[3]Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada

[4]Geriatric Medicine Research, Dalhousie University, Halifax, NS, Canada

[5]Geriatric Medicine Research, Dalhousie University, Halifax, NS, Canada

[6]Department of Medicine, Dalhousie University, Halifax, NS, Canada

[7]Geriatric Medicine Research, Dalhousie University, Halifax, NS, Canada

[8]Department of Medicine, Dalhousie University, Halifax, NS, Canada

[9]Centre for Health Care of the Elderly, QEII Health Sciences Centre, Capital District Health Authority, Dalhousie University, Suite 1421, 5955 Veterans’ Memorial Lane, B3H 2E1, Halifax, NS, Canada

关键词: Aging;    Frailty index;    Deficit accumulation;    Coding;   

DOI  :  10.1186/1471-2318-14-25

 received in 2013-07-09, accepted in 2014-02-18,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundThe frailty index (FI) is used to measure the health status of ageing individuals. An FI is constructed as the proportion of deficits present in an individual out of the total number of age-related health variables considered. The purpose of this study was to systematically assess whether dichotomizing deficits included in an FI affects the information value of the whole index.MethodsSecondary analysis of three population-based longitudinal studies of community dwelling individuals: Nova Scotia Health Survey (NSHS, n = 3227 aged 18+), Survey of Health, Ageing and Retirement in Europe (SHARE, n = 37546 aged 50+), and Yale Precipitating Events Project (Yale-PEP, n = 754 aged 70+). For each dataset, we constructed two FIs from baseline data using the deficit accumulation approach. In each dataset, both FIs included the same variables (23 in NSHS, 70 in SHARE, 33 in Yale-PEP). One FI was constructed with only dichotomous values (marking presence or absence of a deficit); in the other FI, as many variables as possible were coded as ordinal (graded severity of a deficit). Participants in each study were followed for different durations (NSHS: 10 years, SHARE: 5 years, Yale PEP: 12 years).ResultsWithin each dataset, the difference in mean scores between the ordinal and dichotomous-only FIs ranged from 0 to 1.5 deficits. Their ability to predict mortality was identical; their absolute difference in area under the ROC curve ranged from 0.00 to 0.02, and their absolute difference between Cox Hazard Ratios ranged from 0.001 to 0.009.ConclusionsAnalyses from three diverse datasets suggest that variables included in an FI can be coded either as dichotomous or ordinal, with negligible impact on the performance of the index in predicting mortality.

【 授权许可】

Unknown   
© Peña et al.; licensee BioMed Central Ltd. 2014. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.