Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Aguayo, Gloria A., Donneau, Anne-Françoise, Vaillant, Michel T., Schritz, Anna, Franco, Oscar H., Stranges, Saverio, Malisoux, Laurent, Guillaume, Michèle, Witte, Daniel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
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
_version_ 1783307967318196224
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
work_keys_str_mv AT aguayogloriaa agreementbetween35publishedfrailtyscoresinthegeneralpopulation
AT donneauannefrancoise agreementbetween35publishedfrailtyscoresinthegeneralpopulation
AT vaillantmichelt agreementbetween35publishedfrailtyscoresinthegeneralpopulation
AT schritzanna agreementbetween35publishedfrailtyscoresinthegeneralpopulation
AT francooscarh agreementbetween35publishedfrailtyscoresinthegeneralpopulation
AT strangessaverio agreementbetween35publishedfrailtyscoresinthegeneralpopulation
AT malisouxlaurent agreementbetween35publishedfrailtyscoresinthegeneralpopulation
AT guillaumemichele agreementbetween35publishedfrailtyscoresinthegeneralpopulation
AT wittedanielr agreementbetween35publishedfrailtyscoresinthegeneralpopulation