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A new, alternative risk score for sarcopenia in Chinese patients with type 2 diabetes mellitus
OBJECTIVE: To develop a new, alternative sarcopenia risk score to screen for sarcopenia in type 2 diabetes patients in China and to demonstrate its validity. RESEARCH DESIGN AND METHODS: The data for this study came from a multicenter, cross-sectional study that had been designed to estimate the pre...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170735/ https://www.ncbi.nlm.nih.gov/pubmed/37161594 http://dx.doi.org/10.1186/s40001-023-01127-1 |
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author | He, Qinghua Wang, Xiuzhi Yang, Caizhe Zhuang, Xiaoming Yue, Yanfen Jing, Hongjiang Hu, Jing Sun, Mingxiao Guo, Lixin |
author_facet | He, Qinghua Wang, Xiuzhi Yang, Caizhe Zhuang, Xiaoming Yue, Yanfen Jing, Hongjiang Hu, Jing Sun, Mingxiao Guo, Lixin |
author_sort | He, Qinghua |
collection | PubMed |
description | OBJECTIVE: To develop a new, alternative sarcopenia risk score to screen for sarcopenia in type 2 diabetes patients in China and to demonstrate its validity. RESEARCH DESIGN AND METHODS: The data for this study came from a multicenter, cross-sectional study that had been designed to estimate the prevalence of sarcopenia among adults with type 2 diabetes and had been conducted in several hospitals in Beijing, China. A total of 1125 participants were randomly divided into two groups: an exploratory population and a validation population. A multivariable logistic regression model using the backward stepwise likelihood ratio method to estimate the probability of sarcopenia was fitted with candidate variables in the exploratory population. A new, alternative sarcopenia risk score was developed based on the multivariable model. The internal and external validations were performed in the exploratory and validation populations. The study was registered at Chinese Clinical Trial Registry (ChiCTR-EOC-15006901). RESULTS: The new, alternative sarcopenia risk score included five variables: age, gender, BMI, total energy intake per day, and the proportion of calories supplied by protein. The score ranged from − 2 to 19. The area under the receiver operating characteristic (ROC) curve of the risk score for the prediction of sarcopenia in type 2 diabetes patients was 0.806 (95% CI 0.741–0.872) and 0.836 (95% CI 0.781–0.892) in the exploratory and validation populations, respectively. At the optimal cutoff value of 12, the sensitivity and specificity of the score for the prediction of sarcopenia were 70.9% and 81.0% in the exploratory population and 53.7% and 88.8% in the validation population, respectively. The Hosmer–Lemeshow goodness-of-fit test showed a good calibration with the risk score in external validation (χ(2) = 4.459, P = 0.813). CONCLUSIONS: The new, alternative sarcopenia risk score appears to be an effective screening tool for identification of sarcopenia in Chinese patients with type 2 diabetes in clinical practice. Clinical trial registration Chinese Clinical Trial Registry, ChiCTR-EOC-15006901. |
format | Online Article Text |
id | pubmed-10170735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101707352023-05-11 A new, alternative risk score for sarcopenia in Chinese patients with type 2 diabetes mellitus He, Qinghua Wang, Xiuzhi Yang, Caizhe Zhuang, Xiaoming Yue, Yanfen Jing, Hongjiang Hu, Jing Sun, Mingxiao Guo, Lixin Eur J Med Res Research OBJECTIVE: To develop a new, alternative sarcopenia risk score to screen for sarcopenia in type 2 diabetes patients in China and to demonstrate its validity. RESEARCH DESIGN AND METHODS: The data for this study came from a multicenter, cross-sectional study that had been designed to estimate the prevalence of sarcopenia among adults with type 2 diabetes and had been conducted in several hospitals in Beijing, China. A total of 1125 participants were randomly divided into two groups: an exploratory population and a validation population. A multivariable logistic regression model using the backward stepwise likelihood ratio method to estimate the probability of sarcopenia was fitted with candidate variables in the exploratory population. A new, alternative sarcopenia risk score was developed based on the multivariable model. The internal and external validations were performed in the exploratory and validation populations. The study was registered at Chinese Clinical Trial Registry (ChiCTR-EOC-15006901). RESULTS: The new, alternative sarcopenia risk score included five variables: age, gender, BMI, total energy intake per day, and the proportion of calories supplied by protein. The score ranged from − 2 to 19. The area under the receiver operating characteristic (ROC) curve of the risk score for the prediction of sarcopenia in type 2 diabetes patients was 0.806 (95% CI 0.741–0.872) and 0.836 (95% CI 0.781–0.892) in the exploratory and validation populations, respectively. At the optimal cutoff value of 12, the sensitivity and specificity of the score for the prediction of sarcopenia were 70.9% and 81.0% in the exploratory population and 53.7% and 88.8% in the validation population, respectively. The Hosmer–Lemeshow goodness-of-fit test showed a good calibration with the risk score in external validation (χ(2) = 4.459, P = 0.813). CONCLUSIONS: The new, alternative sarcopenia risk score appears to be an effective screening tool for identification of sarcopenia in Chinese patients with type 2 diabetes in clinical practice. Clinical trial registration Chinese Clinical Trial Registry, ChiCTR-EOC-15006901. BioMed Central 2023-05-10 /pmc/articles/PMC10170735/ /pubmed/37161594 http://dx.doi.org/10.1186/s40001-023-01127-1 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 He, Qinghua Wang, Xiuzhi Yang, Caizhe Zhuang, Xiaoming Yue, Yanfen Jing, Hongjiang Hu, Jing Sun, Mingxiao Guo, Lixin A new, alternative risk score for sarcopenia in Chinese patients with type 2 diabetes mellitus |
title | A new, alternative risk score for sarcopenia in Chinese patients with type 2 diabetes mellitus |
title_full | A new, alternative risk score for sarcopenia in Chinese patients with type 2 diabetes mellitus |
title_fullStr | A new, alternative risk score for sarcopenia in Chinese patients with type 2 diabetes mellitus |
title_full_unstemmed | A new, alternative risk score for sarcopenia in Chinese patients with type 2 diabetes mellitus |
title_short | A new, alternative risk score for sarcopenia in Chinese patients with type 2 diabetes mellitus |
title_sort | new, alternative risk score for sarcopenia in chinese patients with type 2 diabetes mellitus |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170735/ https://www.ncbi.nlm.nih.gov/pubmed/37161594 http://dx.doi.org/10.1186/s40001-023-01127-1 |
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