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A standard procedure for creating a frailty index

BACKGROUND: 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. METHODS: This is a secondary analysis...

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Autores principales: Searle, Samuel D, Mitnitski, Arnold, Gahbauer, Evelyne A, Gill, Thomas M, Rockwood, Kenneth
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2573877/
https://www.ncbi.nlm.nih.gov/pubmed/18826625
http://dx.doi.org/10.1186/1471-2318-8-24
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author Searle, Samuel D
Mitnitski, Arnold
Gahbauer, Evelyne A
Gill, Thomas M
Rockwood, Kenneth
author_facet Searle, Samuel D
Mitnitski, Arnold
Gahbauer, Evelyne A
Gill, Thomas M
Rockwood, Kenneth
author_sort Searle, Samuel D
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
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spelling pubmed-25738772008-10-28 A standard procedure for creating a frailty index Searle, Samuel D Mitnitski, Arnold Gahbauer, Evelyne A Gill, Thomas M Rockwood, Kenneth BMC Geriatr Research Article BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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. BioMed Central 2008-09-30 /pmc/articles/PMC2573877/ /pubmed/18826625 http://dx.doi.org/10.1186/1471-2318-8-24 Text en Copyright © 2008 Searle et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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 cited.
spellingShingle Research Article
Searle, Samuel D
Mitnitski, Arnold
Gahbauer, Evelyne A
Gill, Thomas M
Rockwood, Kenneth
A standard procedure for creating a frailty index
title 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_short A standard procedure for creating a frailty index
title_sort standard procedure for creating a frailty index
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2573877/
https://www.ncbi.nlm.nih.gov/pubmed/18826625
http://dx.doi.org/10.1186/1471-2318-8-24
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