Wang Wenhua, Gong Ziwei, Wang Siyi, Li Gang
Department of Neurology, Wuhan Fourth Hospital, Wuhan, 430000, People's Republic of China.
J Multidiscip Healthc. 2025 Jun 27;18:3727-3734. doi: 10.2147/JMDH.S525731. eCollection 2025.
To evaluate the diagnostic value of combining electromyography (EMG) with clinical and pathological parameters in diagnosing diabetic peripheral neuropathy (DPN).
A retrospective study was conducted on 156 diabetic patients (69 with DPN, 87 without) treated from July 2022 to December 2024. Clinical, biochemical, and EMG parameters were compared between groups. Multivariate logistic regression identified independent predictors of DPN. ROC curve analysis assessed diagnostic performance.
Group A (DPN) had significantly higher levels of glycated hemoglobin, cystatin C, uric acid, and creatinine, and significantly reduced motor and sensory nerve conduction velocities compared to Group B. Logistic regression identified these indicators as independent risk factors. Combined ROC analysis showed higher diagnostic accuracy (AUC = 0.873) than any single indicator.
The combination of EMG with selected clinical and pathological parameters offers high diagnostic accuracy for DPN in diabetic patients.
评估肌电图（EMG）联合临床及病理参数在诊断糖尿病周围神经病变（DPN）中的诊断价值。
对2022年7月至2024年12月期间治疗的156例糖尿病患者（69例患有DPN，87例未患）进行回顾性研究。比较两组之间的临床、生化和EMG参数。多因素逻辑回归确定DPN的独立预测因素。ROC曲线分析评估诊断性能。
与B组相比，A组（DPN）的糖化血红蛋白、胱抑素C、尿酸和肌酐水平显著更高，运动和感觉神经传导速度显著降低。逻辑回归确定这些指标为独立危险因素。联合ROC分析显示诊断准确性更高（AUC = 0.873），高于任何单一指标。
EMG与选定的临床及病理参数相结合，对糖尿病患者DPN具有较高的诊断准确性。
