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Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty

Composite diagnostic criteria are common in frailty research. We worry distinct populations may be linked to each other due to complicated criteria. We aim to investigate whether distinct populations might be considered similar based on frailty diagnostic criteria. The Functional Domains Model for f...

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Autores principales: Chao, Yi-Sheng, Wu, Chao-Jung, Wu, Hsing-Chien, Hsu, Hui-Ting, Tsao, Lien-Cheng, Cheng, Yen-Po, Lai, Yi-Chun, Chen, Wei-Chih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018968/
https://www.ncbi.nlm.nih.gov/pubmed/32054866
http://dx.doi.org/10.1038/s41598-020-58782-1
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author Chao, Yi-Sheng
Wu, Chao-Jung
Wu, Hsing-Chien
Hsu, Hui-Ting
Tsao, Lien-Cheng
Cheng, Yen-Po
Lai, Yi-Chun
Chen, Wei-Chih
author_facet Chao, Yi-Sheng
Wu, Chao-Jung
Wu, Hsing-Chien
Hsu, Hui-Ting
Tsao, Lien-Cheng
Cheng, Yen-Po
Lai, Yi-Chun
Chen, Wei-Chih
author_sort Chao, Yi-Sheng
collection PubMed
description Composite diagnostic criteria are common in frailty research. We worry distinct populations may be linked to each other due to complicated criteria. We aim to investigate whether distinct populations might be considered similar based on frailty diagnostic criteria. The Functional Domains Model for frailty diagnosis included four domains: physical, nutritive, cognitive and sensory functioning. Health and Retirement Study participants with two or more deficiencies in the domains were diagnosed frail. The survival distributions were analyzed using discrete-time survival analysis. The distributions of the demographic characteristics and survival across the groups diagnosed with frailty were significantly different (p < 0.05). A deficiency in cognitive functioning was associated with the worst survival pattern compared with a deficiency in the other domains (adjusted p < 0.05). The associations of the domains with mortality were cumulative without interactions. Cognitive functioning had the largest effect size for mortality prediction (Odds ratios, OR = 2.37), larger than that of frailty status (OR = 1.92). The frailty diagnostic criteria may take distinct populations as equal and potentially assign irrelevant interventions to individuals without corresponding conditions. We think it necessary to review the adequacy of composite diagnostic criteria in frailty diagnosis.
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spelling pubmed-70189682020-02-21 Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty Chao, Yi-Sheng Wu, Chao-Jung Wu, Hsing-Chien Hsu, Hui-Ting Tsao, Lien-Cheng Cheng, Yen-Po Lai, Yi-Chun Chen, Wei-Chih Sci Rep Article Composite diagnostic criteria are common in frailty research. We worry distinct populations may be linked to each other due to complicated criteria. We aim to investigate whether distinct populations might be considered similar based on frailty diagnostic criteria. The Functional Domains Model for frailty diagnosis included four domains: physical, nutritive, cognitive and sensory functioning. Health and Retirement Study participants with two or more deficiencies in the domains were diagnosed frail. The survival distributions were analyzed using discrete-time survival analysis. The distributions of the demographic characteristics and survival across the groups diagnosed with frailty were significantly different (p < 0.05). A deficiency in cognitive functioning was associated with the worst survival pattern compared with a deficiency in the other domains (adjusted p < 0.05). The associations of the domains with mortality were cumulative without interactions. Cognitive functioning had the largest effect size for mortality prediction (Odds ratios, OR = 2.37), larger than that of frailty status (OR = 1.92). The frailty diagnostic criteria may take distinct populations as equal and potentially assign irrelevant interventions to individuals without corresponding conditions. We think it necessary to review the adequacy of composite diagnostic criteria in frailty diagnosis. Nature Publishing Group UK 2020-02-13 /pmc/articles/PMC7018968/ /pubmed/32054866 http://dx.doi.org/10.1038/s41598-020-58782-1 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Chao, Yi-Sheng
Wu, Chao-Jung
Wu, Hsing-Chien
Hsu, Hui-Ting
Tsao, Lien-Cheng
Cheng, Yen-Po
Lai, Yi-Chun
Chen, Wei-Chih
Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty
title Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty
title_full Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty
title_fullStr Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty
title_full_unstemmed Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty
title_short Composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty
title_sort composite diagnostic criteria are problematic for linking potentially distinct populations: the case of frailty
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018968/
https://www.ncbi.nlm.nih.gov/pubmed/32054866
http://dx.doi.org/10.1038/s41598-020-58782-1
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