Development and validation of the sarcopenia composite index: A comprehensive approach for assessing sarcopenia in the ageing population.

IF 2 Q1 MEDICINE, GENERAL & INTERNAL
Hsiu-Wen Kuo, Chih-Dao Chen, Amy Ming-Fang Yen, Chenyi Chen, Yang-Teng Fan
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Abstract

Introduction: The diagnosis of sarcopenia relies on key indicators such as handgrip strength, walking speed and muscle mass. Developing a composite index that integrates these measures could enhance clinical evaluation in older adults. This study aimed to standardise and combine these metrics to establish a z score for the sarcopenia composite index (ZoSCI) tailored for the ageing population. Additionally, we explore the risk factors associated with ZoSCI to provide insights into early prevention and intervention strategies.

Method: This retrospective study analysed data between January 2017 and December 2021 from an elderly health programme in Taiwan, applying the Asian Working Group for Sarcopenia criteria to assess sarcopenia. ZoSCI was developed by standardising handgrip strength, walking speed and muscle mass into z scores and integrating them into a composite index. Receiver operating characteristic (ROC) curve analysis was used to determine optimal cut-off values, and multiple regression analysis identified factors influencing ZoSCI.

Results: Among the 5047 participants, the prevalence of sarcopenia was 3.7%, lower than the reported global prevalence of 3.9-15.4%. ROC curve analysis established optimal cut-off points for distinguishing sarcopenia in ZoSCI: -1.85 (sensitivity 0.91, specificity 0.88) for males and -1.97 (sensitivity 0.93, specificity 0.88) for females. Factors associated with lower ZoSCI included advanced age, lower education levels, reduced exercise frequency, lower body mass index and creatinine levels.

Conclusion: This study introduces ZoSCI, a new compo-site quantitative indicator for identifying sarcopenia in older adults. The findings highlight specific risk factors that can inform early intervention. Future studies should validate ZoSCI globally, with international collaborations to ensure broader applicability.

肌少症综合指数的发展和验证:一种评估老年人群肌少症的综合方法。
肌肉减少症的诊断依赖于一些关键指标,如握力、步行速度和肌肉量。开发一个综合这些措施的综合指数可以提高老年人的临床评价。本研究旨在标准化并结合这些指标,为老龄化人口量身定制肌肉减少症综合指数(ZoSCI)建立z分数。此外,我们还探讨了与ZoSCI相关的危险因素,以提供早期预防和干预策略的见解。方法:本回顾性研究分析了2017年1月至2021年12月台湾老年人健康项目的数据,应用亚洲肌少症工作组的标准来评估肌少症。ZoSCI是通过将握力、步行速度和肌肉质量标准化为z分数,并将其整合成一个综合指数而开发出来的。采用受试者工作特征(ROC)曲线分析确定最佳临界值,并通过多元回归分析确定影响ZoSCI的因素。结果:在5047名参与者中,肌肉减少症的患病率为3.7%,低于报告的全球患病率3.9-15.4%。ROC曲线分析建立了识别ZoSCI患者肌肉减少症的最佳截断点:男性为-1.85(敏感性0.91,特异性0.88),女性为-1.97(敏感性0.93,特异性0.88)。与较低的ZoSCI相关的因素包括年龄较大、受教育程度较低、运动频率减少、体重指数和肌酐水平较低。结论:本研究引入了一种新的识别老年人肌肉减少症的复合定量指标ZoSCI。研究结果强调了可以为早期干预提供信息的特定风险因素。未来的研究应该在全球范围内验证ZoSCI,并通过国际合作确保更广泛的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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