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Validation of the questionnaire for medical checkup of old-old (QMCOO) score cutoff to diagnose frailty

BACKGROUND: Frailty is a state of increased vulnerability to poor resolution of homeostasis following a stress. Early diagnosis and intervention of frailty are essential to prevent its adverse outcomes. However, simple diagnostic criteria have not been established. The Questionnaire for Medical Chec...

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Autores principales: Yakabe, Mitsutaka, Shibasaki, Koji, Hosoi, Tatsuya, Matsumoto, Shoya, Hoshi, Kazuhiro, Akishita, Masahiro, Ogawa, Sumito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031947/
https://www.ncbi.nlm.nih.gov/pubmed/36944957
http://dx.doi.org/10.1186/s12877-023-03885-3
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author Yakabe, Mitsutaka
Shibasaki, Koji
Hosoi, Tatsuya
Matsumoto, Shoya
Hoshi, Kazuhiro
Akishita, Masahiro
Ogawa, Sumito
author_facet Yakabe, Mitsutaka
Shibasaki, Koji
Hosoi, Tatsuya
Matsumoto, Shoya
Hoshi, Kazuhiro
Akishita, Masahiro
Ogawa, Sumito
author_sort Yakabe, Mitsutaka
collection PubMed
description BACKGROUND: Frailty is a state of increased vulnerability to poor resolution of homeostasis following a stress. Early diagnosis and intervention of frailty are essential to prevent its adverse outcomes. However, simple diagnostic criteria have not been established. The Questionnaire for Medical Checkup of Old-Old (QMCOO) is widely used for medical checkups of older adults in Japan. In our previous report, we developed a method to score the QMCOO and showed that frailty can be diagnosed with the highest accuracy when the score cutoff was set at 3/4 points. We aimed to validate the criteria in a larger cohort. METHODS: Participants aged 65 years or over were recruited in the western region of Japan. They answered all the items of the Kihon Checklist (KCL) and the QMCOO. Based on the KCL score, they were diagnosed as robust (3 or lower), prefrail (4 to 7), or frail (8 or over). Then we tested the effectiveness to diagnose frailty using the QMCOO cutoff of 3/4 points. We also aimed to determine the score cutoff to separate robust and prefrail. RESULTS: 7,605 participants (3,458 males and 4,147 females, age 77.4 ± 6.9 years) were recruited. 3,665 participants were diagnosed as robust, 2,448 were prefrail, and 1,492 were frail based on the KCL score. The diagnosis of frailty had a sensitivity of 84.0%, specificity of 82.5%, and accuracy of 82.8% with a QMCOO score cutoff of 3/4 points, suggesting its validity. To separate robust and prefrail, both the accuracy and the Youden index were the highest with the QMCOO cutoff of 2/3 points (sensitivity, specificity, and accuracy were 63.9%, 83.4%, and 75.6%, respectively). All the questions of the QMCOO except Q12 (about smoking) were significantly related to prefrailty status after a logistic regression analysis. CONCLUSION: Diagnosis of frailty using the QMCOO score cutoff of 3/4 points was validated. Prefrailty could be diagnosed using the score cutoff of 2/3 points.
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spelling pubmed-100319472023-03-23 Validation of the questionnaire for medical checkup of old-old (QMCOO) score cutoff to diagnose frailty Yakabe, Mitsutaka Shibasaki, Koji Hosoi, Tatsuya Matsumoto, Shoya Hoshi, Kazuhiro Akishita, Masahiro Ogawa, Sumito BMC Geriatr Research BACKGROUND: Frailty is a state of increased vulnerability to poor resolution of homeostasis following a stress. Early diagnosis and intervention of frailty are essential to prevent its adverse outcomes. However, simple diagnostic criteria have not been established. The Questionnaire for Medical Checkup of Old-Old (QMCOO) is widely used for medical checkups of older adults in Japan. In our previous report, we developed a method to score the QMCOO and showed that frailty can be diagnosed with the highest accuracy when the score cutoff was set at 3/4 points. We aimed to validate the criteria in a larger cohort. METHODS: Participants aged 65 years or over were recruited in the western region of Japan. They answered all the items of the Kihon Checklist (KCL) and the QMCOO. Based on the KCL score, they were diagnosed as robust (3 or lower), prefrail (4 to 7), or frail (8 or over). Then we tested the effectiveness to diagnose frailty using the QMCOO cutoff of 3/4 points. We also aimed to determine the score cutoff to separate robust and prefrail. RESULTS: 7,605 participants (3,458 males and 4,147 females, age 77.4 ± 6.9 years) were recruited. 3,665 participants were diagnosed as robust, 2,448 were prefrail, and 1,492 were frail based on the KCL score. The diagnosis of frailty had a sensitivity of 84.0%, specificity of 82.5%, and accuracy of 82.8% with a QMCOO score cutoff of 3/4 points, suggesting its validity. To separate robust and prefrail, both the accuracy and the Youden index were the highest with the QMCOO cutoff of 2/3 points (sensitivity, specificity, and accuracy were 63.9%, 83.4%, and 75.6%, respectively). All the questions of the QMCOO except Q12 (about smoking) were significantly related to prefrailty status after a logistic regression analysis. CONCLUSION: Diagnosis of frailty using the QMCOO score cutoff of 3/4 points was validated. Prefrailty could be diagnosed using the score cutoff of 2/3 points. BioMed Central 2023-03-21 /pmc/articles/PMC10031947/ /pubmed/36944957 http://dx.doi.org/10.1186/s12877-023-03885-3 Text en © The Author(s) 2023 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
Yakabe, Mitsutaka
Shibasaki, Koji
Hosoi, Tatsuya
Matsumoto, Shoya
Hoshi, Kazuhiro
Akishita, Masahiro
Ogawa, Sumito
Validation of the questionnaire for medical checkup of old-old (QMCOO) score cutoff to diagnose frailty
title Validation of the questionnaire for medical checkup of old-old (QMCOO) score cutoff to diagnose frailty
title_full Validation of the questionnaire for medical checkup of old-old (QMCOO) score cutoff to diagnose frailty
title_fullStr Validation of the questionnaire for medical checkup of old-old (QMCOO) score cutoff to diagnose frailty
title_full_unstemmed Validation of the questionnaire for medical checkup of old-old (QMCOO) score cutoff to diagnose frailty
title_short Validation of the questionnaire for medical checkup of old-old (QMCOO) score cutoff to diagnose frailty
title_sort validation of the questionnaire for medical checkup of old-old (qmcoo) score cutoff to diagnose frailty
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031947/
https://www.ncbi.nlm.nih.gov/pubmed/36944957
http://dx.doi.org/10.1186/s12877-023-03885-3
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