An Li, Shi Jinjun, Pan Ye, Ding Yu, Gao Wei, Ren Liqun, Wang Jing, Wang Yao
Department of Geriatrics, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, PR China.
Department of Endocrine, Zhongda Hospital, Southeast University, 87 Dingjiaqiao, Nanjing, 210009, PR China.
J Endocrinol Invest. 2025 Jun 12. doi: 10.1007/s40618-025-02623-3.
To assess the utility of shear wave elastography (SWE) for the diagnosis of sarcopenia in individuals with type 2 diabetes (T2D).
In this study, we measured the shear wave velocity (SWV) in the medial gastrocnemius muscle (GCM) in both the relaxed and stretched states via SWE. The study involved 273 T2D patients at Zhongda Hospital Southeast University and was conducted between March 2022 and June 2023. In addition to the SWV, we evaluated the appendicular skeletal muscle mass index (ASMI), muscle strength as measured by handgrip strength, and gait speed as measured by the 6-meter walk test. We analyzed the relationships between conventional sarcopenia indicators and SWV variables and developed diagnostic models based on significant predictors.
The age of the patients ranged from 60 to 72 years, with a median age of 66 years, and nearly half (48.0%, n = 131) were female. On the basis of the 2019 criteria set by the Asian Working Group for Sarcopenia (AWGS), the participants were categorized into nonsarcopenia (212, 77.7%) and sarcopenia (61, 22.3%) groups. There was a notable difference in the SWV between those with and without sarcopenia (p < 0.01). A robust positive correlation was identified between traditional sarcopenia indicators and the SWV. A logistic regression model incorporating BMI, ASMI, SWV, and SWV demonstrated high sensitivity (96.7%) and specificity (82.5%), with an AUC of 0.946.
Our findings suggest that SWE could be a valuable tool for the objective assessment of sarcopenia in T2D patients. However, additional large-scale, multicenter, and prospective studies are warranted to validate these results.
评估剪切波弹性成像（SWE）在2型糖尿病（T2D）患者中诊断肌肉减少症的效用。
在本研究中，我们通过SWE测量了腓肠肌内侧头（GCM）在放松和伸展状态下的剪切波速度（SWV）。该研究纳入了东南大学附属中大医院的273例T2D患者，研究于2022年3月至2023年6月进行。除SWV外，我们还评估了四肢骨骼肌质量指数（ASMI）、通过握力测量的肌肉力量以及通过6米步行试验测量的步态速度。我们分析了传统肌肉减少症指标与SWV变量之间的关系，并基于显著预测因素建立了诊断模型。
患者年龄在60至72岁之间，中位年龄为66岁，近一半（48.0%，n = 131）为女性。根据亚洲肌肉减少症工作组（AWGS）2019年制定的标准，参与者被分为非肌肉减少症组（212例，77.7%）和肌肉减少症组（61例，22.3%）。有肌肉减少症和无肌肉减少症者的SWV存在显著差异（p < 0.01）。传统肌肉减少症指标与SWV之间存在显著正相关。包含体重指数（BMI）、ASMI、SWV和SWV的逻辑回归模型显示出高敏感性（96.7%）和特异性（82.5%），曲线下面积（AUC）为0.946。
我们的研究结果表明，SWE可能是客观评估T2D患者肌肉减少症的有价值工具。然而，需要更多大规模、多中心和前瞻性研究来验证这些结果。
