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Validation of the Kihon Checklist and the frailty screening index for frailty defined by the phenotype model in older Japanese adults

BACKGROUND: The term “frailty” might appear simple, but the methods used to assess it differ among studies. Consequently, there is inconsistency in the classification of frailty and predictive capacity depending on the frailty assessment method utilised. We aimed to examine the diagnostic accuracy o...

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Autores principales: Watanabe, Daiki, Yoshida, Tsukasa, Watanabe, Yuya, Yamada, Yosuke, Miyachi, Motohiko, Kimura, Misaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164897/
https://www.ncbi.nlm.nih.gov/pubmed/35658843
http://dx.doi.org/10.1186/s12877-022-03177-2
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author Watanabe, Daiki
Yoshida, Tsukasa
Watanabe, Yuya
Yamada, Yosuke
Miyachi, Motohiko
Kimura, Misaka
author_facet Watanabe, Daiki
Yoshida, Tsukasa
Watanabe, Yuya
Yamada, Yosuke
Miyachi, Motohiko
Kimura, Misaka
author_sort Watanabe, Daiki
collection PubMed
description BACKGROUND: The term “frailty” might appear simple, but the methods used to assess it differ among studies. Consequently, there is inconsistency in the classification of frailty and predictive capacity depending on the frailty assessment method utilised. We aimed to examine the diagnostic accuracy of several screening tools for frailty defined by the phenotype model in older Japanese adults. METHODS: This cross-sectional study included 1,306 older Japanese adults aged ≥ 65 years who underwent physical check-up by cluster random sampling as part of the Kyoto-Kameoka Study in Japan. We evaluated the diagnostic accuracy of several screening instruments for frailty using the revised Japanese version of the Cardiovascular Health Study criteria as the reference standard. These criteria are based on the Fried phenotype model and include five elements: unintentional weight loss, weakness (grip strength), exhaustion, slowness (normal gait speed), and low physical activity. The Kihon Checklist (KCL), frailty screening index (FSI), and self-reported health were evaluated using mailed surveys. We calculated the non-parametric area under the receiver operating characteristic curve (AUC ROC) for several screening tools against the reference standard. RESULTS: The participants’ mean (standard deviation) age was 72.8 (5.5) years. The prevalence of frailty based on the Fried phenotype model was 12.2% in women and 10.3% in men. The AUC ROC was 0.861 (95% confidence interval: 0.832–0.889) for KCL, 0.860 (0.831–0.889) for FSI, and 0.668 (0.629–0.707) for self-reported health. The cut-off for identifying frail individuals was ≥ 7 points in the KCL and ≥ 2 points in the FSI. CONCLUSIONS: Our results indicated that the two instruments (KCL and FSI) had sufficient diagnostic accuracy for frailty based on the phenotype model for older Japanese adults. This may be useful for the early detection of frailty in high-risk older adults.
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spelling pubmed-91648972022-06-05 Validation of the Kihon Checklist and the frailty screening index for frailty defined by the phenotype model in older Japanese adults Watanabe, Daiki Yoshida, Tsukasa Watanabe, Yuya Yamada, Yosuke Miyachi, Motohiko Kimura, Misaka BMC Geriatr Research BACKGROUND: The term “frailty” might appear simple, but the methods used to assess it differ among studies. Consequently, there is inconsistency in the classification of frailty and predictive capacity depending on the frailty assessment method utilised. We aimed to examine the diagnostic accuracy of several screening tools for frailty defined by the phenotype model in older Japanese adults. METHODS: This cross-sectional study included 1,306 older Japanese adults aged ≥ 65 years who underwent physical check-up by cluster random sampling as part of the Kyoto-Kameoka Study in Japan. We evaluated the diagnostic accuracy of several screening instruments for frailty using the revised Japanese version of the Cardiovascular Health Study criteria as the reference standard. These criteria are based on the Fried phenotype model and include five elements: unintentional weight loss, weakness (grip strength), exhaustion, slowness (normal gait speed), and low physical activity. The Kihon Checklist (KCL), frailty screening index (FSI), and self-reported health were evaluated using mailed surveys. We calculated the non-parametric area under the receiver operating characteristic curve (AUC ROC) for several screening tools against the reference standard. RESULTS: The participants’ mean (standard deviation) age was 72.8 (5.5) years. The prevalence of frailty based on the Fried phenotype model was 12.2% in women and 10.3% in men. The AUC ROC was 0.861 (95% confidence interval: 0.832–0.889) for KCL, 0.860 (0.831–0.889) for FSI, and 0.668 (0.629–0.707) for self-reported health. The cut-off for identifying frail individuals was ≥ 7 points in the KCL and ≥ 2 points in the FSI. CONCLUSIONS: Our results indicated that the two instruments (KCL and FSI) had sufficient diagnostic accuracy for frailty based on the phenotype model for older Japanese adults. This may be useful for the early detection of frailty in high-risk older adults. BioMed Central 2022-06-03 /pmc/articles/PMC9164897/ /pubmed/35658843 http://dx.doi.org/10.1186/s12877-022-03177-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Watanabe, Daiki
Yoshida, Tsukasa
Watanabe, Yuya
Yamada, Yosuke
Miyachi, Motohiko
Kimura, Misaka
Validation of the Kihon Checklist and the frailty screening index for frailty defined by the phenotype model in older Japanese adults
title Validation of the Kihon Checklist and the frailty screening index for frailty defined by the phenotype model in older Japanese adults
title_full Validation of the Kihon Checklist and the frailty screening index for frailty defined by the phenotype model in older Japanese adults
title_fullStr Validation of the Kihon Checklist and the frailty screening index for frailty defined by the phenotype model in older Japanese adults
title_full_unstemmed Validation of the Kihon Checklist and the frailty screening index for frailty defined by the phenotype model in older Japanese adults
title_short Validation of the Kihon Checklist and the frailty screening index for frailty defined by the phenotype model in older Japanese adults
title_sort validation of the kihon checklist and the frailty screening index for frailty defined by the phenotype model in older japanese adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164897/
https://www.ncbi.nlm.nih.gov/pubmed/35658843
http://dx.doi.org/10.1186/s12877-022-03177-2
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