Department of Ultrasound, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, China.
Shantou University Medical College, Shantou, Guangdong 515000, China.
J Diabetes Res. 2023 Dec 19;2023:8897065. doi: 10.1155/2023/8897065. eCollection 2023.
Muscle dysfunction is an early complication of diabetic peripheral neuropathy (DPN). As a convenient and low-cost tool, muscle ultrasound has been used to assess muscle quality and muscle mass. However, the relationship between different muscle ultrasound parameters and DPN is unclear.
This study was designed to investigate the relationship between ultrasound parameters of different muscles and DPN among patients with type 2 diabetes mellitus, including the rectus femoris (RF), tibialis anterior (TA), and medial head of gastrocnemius (MG).
The research enrolled 90 patients with type 2 diabetes mellitus (T2DM). All images were attained from both sides. Muscle measurements contained muscle thickness (MT), cross-sectional area (CSA), echo intensity (EI), and corrected EI. The binary logistic regression and multiple linear regression were used to investigate the association between muscle ultrasound parameters and DPN or vibration perception threshold (VPT).
EI, corrected EI, MT of MG, and EI of TA were associated with DPN separately after adjusting other clinical variates. Among these muscle parameters, the EI of MG had a better predictive value (OR: 1.114, 95% CI: 1.039, 1.196) of DPN. Combined with CSA of RF, peripheral artery disease (PAD), and sex, the corrected EI of MG was associated with the vibration perception threshold (VPT) (standard = 0.242, < 0.001), better than the EI of MG (standard = 0.215, = 0.002).
MG (MT, EI, and corrected EI) and TA (EI) were associated with DPN, respectively. CSA of RF and corrected EI or EI of MG combined with PAD and sex were associated with VPT significantly, which supported that muscle ultrasound might be a substantial quantitative tool for detecting the exercise benefits for DPN.
肌肉功能障碍是糖尿病周围神经病变(DPN)的早期并发症。肌肉超声作为一种方便且低成本的工具,已被用于评估肌肉质量和肌肉量。然而,不同肌肉超声参数与 DPN 的关系尚不清楚。
本研究旨在探讨 2 型糖尿病患者不同肌肉超声参数与 DPN 的关系,包括股直肌(RF)、胫骨前肌(TA)和腓肠肌内侧头(MG)。
研究纳入 90 例 2 型糖尿病患者。所有图像均取自双侧。肌肉测量包括肌肉厚度(MT)、横截面积(CSA)、回声强度(EI)和校正 EI。采用二元逻辑回归和多元线性回归分析肌肉超声参数与 DPN 或振动感觉阈值(VPT)的关系。
调整其他临床变量后,MG 的 EI、校正 EI、MT 和 TA 的 EI 分别与 DPN 相关。在这些肌肉参数中,MG 的 EI 对 DPN 的预测价值更好(OR:1.114,95%CI:1.039,1.196)。结合 RF 的 CSA、外周动脉疾病(PAD)和性别,MG 的校正 EI 与振动感觉阈值(VPT)相关(标准 = 0.242, < 0.001),优于 MG 的 EI(标准 = 0.215, = 0.002)。
MG(MT、EI 和校正 EI)和 TA(EI)分别与 DPN 相关。RF 的 CSA 和校正 EI 或 MG 的 EI 结合 PAD 和性别与 VPT 显著相关,这表明肌肉超声可能是一种检测 DPN 运动获益的重要定量工具。