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Agreement Between 35 Published Frailty Scores in the General Population
In elderly populations, frailty is associated with higher mortality risk. Although many frailty scores (FS) have been proposed, no single score is considered the gold standard. We aimed to evaluate the agreement between a wide range of FS in the English Longitudinal Study of Ageing (ELSA). Through a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860330/ https://www.ncbi.nlm.nih.gov/pubmed/28633404 http://dx.doi.org/10.1093/aje/kwx061 |
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author | Aguayo, Gloria A. Donneau, Anne-Françoise Vaillant, Michel T. Schritz, Anna Franco, Oscar H. Stranges, Saverio Malisoux, Laurent Guillaume, Michèle Witte, Daniel R. |
author_facet | Aguayo, Gloria A. Donneau, Anne-Françoise Vaillant, Michel T. Schritz, Anna Franco, Oscar H. Stranges, Saverio Malisoux, Laurent Guillaume, Michèle Witte, Daniel R. |
author_sort | Aguayo, Gloria A. |
collection | PubMed |
description | In elderly populations, frailty is associated with higher mortality risk. Although many frailty scores (FS) have been proposed, no single score is considered the gold standard. We aimed to evaluate the agreement between a wide range of FS in the English Longitudinal Study of Ageing (ELSA). Through a literature search, we identified 35 FS that could be calculated in ELSA wave 2 (2004–2005). We examined agreement between each frailty score and the mean of 35 FS, using a modified Bland-Altman model and Cohen's kappa (κ). Missing data were imputed. Data from 5,377 participants (ages ≥60 years) were analyzed (44.7% men, 55.3% women). FS showed widely differing degrees of agreement with the mean of all scores and between each pair of scores. Frailty classification also showed a very wide range of agreement (Cohen's κ = 0.10–0.83). Agreement was highest among “accumulation of deficits”-type FS, while accuracy was highest for multidimensional FS. There is marked heterogeneity in the degree to which various FS estimate frailty and in the identification of particular individuals as frail. Different FS are based on different concepts of frailty, and most pairs cannot be assumed to be interchangeable. Research results based on different FS cannot be compared or pooled. |
format | Online Article Text |
id | pubmed-5860330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58603302018-03-21 Agreement Between 35 Published Frailty Scores in the General Population Aguayo, Gloria A. Donneau, Anne-Françoise Vaillant, Michel T. Schritz, Anna Franco, Oscar H. Stranges, Saverio Malisoux, Laurent Guillaume, Michèle Witte, Daniel R. Am J Epidemiol Practice of Epidemiology In elderly populations, frailty is associated with higher mortality risk. Although many frailty scores (FS) have been proposed, no single score is considered the gold standard. We aimed to evaluate the agreement between a wide range of FS in the English Longitudinal Study of Ageing (ELSA). Through a literature search, we identified 35 FS that could be calculated in ELSA wave 2 (2004–2005). We examined agreement between each frailty score and the mean of 35 FS, using a modified Bland-Altman model and Cohen's kappa (κ). Missing data were imputed. Data from 5,377 participants (ages ≥60 years) were analyzed (44.7% men, 55.3% women). FS showed widely differing degrees of agreement with the mean of all scores and between each pair of scores. Frailty classification also showed a very wide range of agreement (Cohen's κ = 0.10–0.83). Agreement was highest among “accumulation of deficits”-type FS, while accuracy was highest for multidimensional FS. There is marked heterogeneity in the degree to which various FS estimate frailty and in the identification of particular individuals as frail. Different FS are based on different concepts of frailty, and most pairs cannot be assumed to be interchangeable. Research results based on different FS cannot be compared or pooled. Oxford University Press 2017-08-15 2017-06-15 /pmc/articles/PMC5860330/ /pubmed/28633404 http://dx.doi.org/10.1093/aje/kwx061 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journalpermissions@oup.com. |
spellingShingle | Practice of Epidemiology Aguayo, Gloria A. Donneau, Anne-Françoise Vaillant, Michel T. Schritz, Anna Franco, Oscar H. Stranges, Saverio Malisoux, Laurent Guillaume, Michèle Witte, Daniel R. Agreement Between 35 Published Frailty Scores in the General Population |
title | Agreement Between 35 Published Frailty Scores in the General Population |
title_full | Agreement Between 35 Published Frailty Scores in the General Population |
title_fullStr | Agreement Between 35 Published Frailty Scores in the General Population |
title_full_unstemmed | Agreement Between 35 Published Frailty Scores in the General Population |
title_short | Agreement Between 35 Published Frailty Scores in the General Population |
title_sort | agreement between 35 published frailty scores in the general population |
topic | Practice of Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860330/ https://www.ncbi.nlm.nih.gov/pubmed/28633404 http://dx.doi.org/10.1093/aje/kwx061 |
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