A standard procedure for creating a frailty index

<p>Abstract</p> <p>Background</p> <p>Frailty can be measured in relation to the accumulation of deficits using a frailty index. A frailty index can be developed from most ageing databases. Our objective is to systematically describe a standard procedure for constructing...

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Main Authors: Gahbauer Evelyne A, Mitnitski Arnold, Searle Samuel D, Gill Thomas M, Rockwood Kenneth
Format: Article
Language:English
Published: BMC 2008-09-01
Series:BMC Geriatrics
Online Access:http://www.biomedcentral.com/1471-2318/8/24
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spelling doaj-7d94069400344b9baf0d2bdfb0c6572f2020-11-25T03:29:32ZengBMCBMC Geriatrics1471-23182008-09-01812410.1186/1471-2318-8-24A standard procedure for creating a frailty indexGahbauer Evelyne AMitnitski ArnoldSearle Samuel DGill Thomas MRockwood Kenneth<p>Abstract</p> <p>Background</p> <p>Frailty can be measured in relation to the accumulation of deficits using a frailty index. A frailty index can be developed from most ageing databases. Our objective is to systematically describe a standard procedure for constructing a frailty index.</p> <p>Methods</p> <p>This is a secondary analysis of the Yale Precipitating Events Project cohort study, based in New Haven CT. Non-disabled people aged 70 years or older (n = 754) were enrolled and re-contacted every 18 months. The database includes variables on function, cognition, co-morbidity, health attitudes and practices and physical performance measures. Data came from the baseline cohort and those available at the first 18-month follow-up assessment.</p> <p>Results</p> <p>Procedures for selecting health variables as candidate deficits were applied to yield 40 deficits. Recoding procedures were applied for categorical, ordinal and interval variables such that they could be mapped to the interval 0–1, where 0 = absence of a deficit, and 1= full expression of the deficit. These individual deficit scores were combined in an index, where 0= no deficit present, and 1= all 40 deficits present. The values of the index were well fit by a gamma distribution. Between the baseline and follow-up cohorts, the age-related slope of deficit accumulation increased from 0.020 (95% confidence interval, 0.014–0.026) to 0.026 (0.020–0.032). The 99% limit to deficit accumulation was 0.6 in the baseline cohort and 0.7 in the follow-up cohort. Multivariate Cox analysis showed the frailty index, age and sex to be significant predictors of mortality.</p> <p>Conclusion</p> <p>A systematic process for creating a frailty index, which relates deficit accumulation to the individual risk of death, showed reproducible properties in the Yale Precipitating Events Project cohort study. This method of quantifying frailty can aid our understanding of frailty-related health characteristics in older adults.</p> http://www.biomedcentral.com/1471-2318/8/24
collection DOAJ
language English
format Article
sources DOAJ
author Gahbauer Evelyne A
Mitnitski Arnold
Searle Samuel D
Gill Thomas M
Rockwood Kenneth
spellingShingle Gahbauer Evelyne A
Mitnitski Arnold
Searle Samuel D
Gill Thomas M
Rockwood Kenneth
A standard procedure for creating a frailty index
BMC Geriatrics
author_facet Gahbauer Evelyne A
Mitnitski Arnold
Searle Samuel D
Gill Thomas M
Rockwood Kenneth
author_sort Gahbauer Evelyne A
title A standard procedure for creating a frailty index
title_short A standard procedure for creating a frailty index
title_full A standard procedure for creating a frailty index
title_fullStr A standard procedure for creating a frailty index
title_full_unstemmed A standard procedure for creating a frailty index
title_sort standard procedure for creating a frailty index
publisher BMC
series BMC Geriatrics
issn 1471-2318
publishDate 2008-09-01
description <p>Abstract</p> <p>Background</p> <p>Frailty can be measured in relation to the accumulation of deficits using a frailty index. A frailty index can be developed from most ageing databases. Our objective is to systematically describe a standard procedure for constructing a frailty index.</p> <p>Methods</p> <p>This is a secondary analysis of the Yale Precipitating Events Project cohort study, based in New Haven CT. Non-disabled people aged 70 years or older (n = 754) were enrolled and re-contacted every 18 months. The database includes variables on function, cognition, co-morbidity, health attitudes and practices and physical performance measures. Data came from the baseline cohort and those available at the first 18-month follow-up assessment.</p> <p>Results</p> <p>Procedures for selecting health variables as candidate deficits were applied to yield 40 deficits. Recoding procedures were applied for categorical, ordinal and interval variables such that they could be mapped to the interval 0–1, where 0 = absence of a deficit, and 1= full expression of the deficit. These individual deficit scores were combined in an index, where 0= no deficit present, and 1= all 40 deficits present. The values of the index were well fit by a gamma distribution. Between the baseline and follow-up cohorts, the age-related slope of deficit accumulation increased from 0.020 (95% confidence interval, 0.014–0.026) to 0.026 (0.020–0.032). The 99% limit to deficit accumulation was 0.6 in the baseline cohort and 0.7 in the follow-up cohort. Multivariate Cox analysis showed the frailty index, age and sex to be significant predictors of mortality.</p> <p>Conclusion</p> <p>A systematic process for creating a frailty index, which relates deficit accumulation to the individual risk of death, showed reproducible properties in the Yale Precipitating Events Project cohort study. This method of quantifying frailty can aid our understanding of frailty-related health characteristics in older adults.</p>
url http://www.biomedcentral.com/1471-2318/8/24
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