Lopes Natalia Correia, Vicedomini Ana Carolina Costa, Magalhães Natália Vieira, Waitzberg Dan Linetzky, Jacob Wilson, Busse Alexandre, Ferdinando Douglas, Pereira Rosa Maria Rodrigues, Torrinhas Raquel, Belarmino Giliane
Department of Gastroenterology (LIM-35), School of Medicine, University of São Paulo, São Paulo, Brazil.
Department of Gastroenterology (LIM-35), School of Medicine, University of São Paulo, São Paulo, Brazil.
Nutrition. 2025 Mar;131:112654. doi: 10.1016/j.nut.2024.112654. Epub 2024 Nov 29.
Sarcopenia is associated with clinical complications that increase mortality in older adults. Current screening tools, such as Sarc-F and Sarc-CalF, focus primarily on muscular performance but have limited sensitivity in identifying elderly individuals at risk of sarcopenia. The present study aims to develop a more comprehensive sarcopenia risk screening tool, Sarc-Global, which integrates additional anthropometric and clinical variables to enhance the sensitivity and accuracy of sarcopenia risk assessment in older adults.
The aim of this cross-sectional study was to develop a sarcopenia risk screening tool, named Sarc-Global, with enhanced sensitivity, incorporating factors pertinent to the overall health of elderly individuals. Utilizing the criteria established by EWGSOP2 for diagnosing sarcopenia, we evaluated 395 community-dwelling elderly individuals. This evaluation served as a reference for assessing the efficacy of two validated questionnaires, Sarc-F and Sarc-CalF, and our newly developed Sarc-Global.
Multiple logistic regression revealed that Sarc-Global integrates variables such as sex, age, medication use, body mass index, arm circumference, and handgrip strength, which are significantly associated with sarcopenia (p<0.001). When combined with Sarc-CalF, these variables form the basis of the Sarc-Global model. In screening for sarcopenia risk, Sarc-Global demonstrated superior accuracy, specificity, and sensitivity (74%), outperforming Sarc-F (21%) and Sarc-CalF (34%).
Sarc-Global proves to be an effective tool for identifying elderly individuals at risk of sarcopenia.
肌肉减少症与临床并发症相关，这些并发症会增加老年人的死亡率。目前的筛查工具，如Sarc-F和Sarc-CalF，主要关注肌肉功能，但在识别有肌肉减少症风险的老年人方面敏感性有限。本研究旨在开发一种更全面的肌肉减少症风险筛查工具Sarc-Global，该工具整合了额外的人体测量和临床变量，以提高老年人肌肉减少症风险评估的敏感性和准确性。
这项横断面研究的目的是开发一种名为Sarc-Global的肌肉减少症风险筛查工具，其敏感性更高，纳入了与老年人整体健康相关的因素。利用EWGSOP2制定的诊断肌肉减少症的标准，我们评估了395名社区居住的老年人。该评估作为评估两种经过验证的问卷Sarc-F和Sarc-CalF以及我们新开发的Sarc-Global有效性的参考。
多元逻辑回归显示，Sarc-Global整合了性别、年龄、用药情况、体重指数、上臂围和握力等变量，这些变量与肌肉减少症显著相关（p<0.001）。当与Sarc-CalF结合时，这些变量构成了Sarc-Global模型的基础。在筛查肌肉减少症风险时，Sarc-Global表现出更高的准确性、特异性和敏感性（74%），优于Sarc-F（21%）和Sarc-CalF（34%）。
Sarc-Global被证明是识别有肌肉减少症风险老年人的有效工具。
