Bagai K, Wilson J R, Khanna M, Song Y, Wang L, Fisher M A
Hines VAH, Hines, IL 60141, USA.
Electromyogr Clin Neurophysiol. 2008 Apr-May;48(3-4):139-45.
This study evaluates the pattern of electrodiagnostic (EDX) abnormalities in diabetic sensorimotor polyneuropathies.
EDX data from 112 consecutive patients with type 2 diabetes mellitus with distal, predominantly sensory, polyneuropathies were reviewed. Motor conduction velocities (CV), distal motor latencies (DML), compound muscle action potential (CMAP) amplitudes, distal to proximal amplitude ratios (PID), and F-wave latencies (FWL) were analyzed. Data were normalized based on normative reference values, and the proportion of nerves with abnormal values in the lower and upper limbs were evaluated. These data were also analyzed in relation to whether there was possible demyelinating versus axonal injury. Statistical analyses included comparison of the proportions of abnormal nerves in upper versus lower limbs as well as using Generalized Estimating Equations (GEE) to account for correlated observations for each patient between lower and upper limbs and adjusting for patient age effect.
CVs were significantly more abnormal in the legs than the arms (p < 0.0006) and decreased CMAP amplitudes meeting criteria for axonal injury were also more frequent in the legs (p < 0.0001). Using the GEE model, axonal injury was more common in the legs while demyelinating injury was more common in the arms based on FWLs, especially in younger persons (e.g., 40 years old vs. 50 years old). These differences are not readily explained by the duration of the diabetes.
Since in diabetics "axonal" type injury may be more common in the legs while "demyelinating" injury more frequent in the arms, this study emphasizes the limitation of this type of classification, and supports the idea that the pattern of EDX abnormalities in different types of neuropathies may be more helpful.
本研究评估糖尿病感觉运动性多发性神经病的电诊断(EDX)异常模式。
回顾了112例连续性2型糖尿病伴远端、以感觉为主的多发性神经病患者的EDX数据。分析运动传导速度(CV)、远端运动潜伏期(DML)、复合肌肉动作电位(CMAP)波幅、近端与远端波幅比(PID)以及F波潜伏期(FWL)。数据根据正常参考值进行标准化,并评估上下肢神经值异常的比例。还根据是否可能存在脱髓鞘与轴索性损伤对这些数据进行分析。统计分析包括比较上下肢异常神经的比例,以及使用广义估计方程(GEE)来考虑每位患者上下肢之间的相关观察结果,并对患者年龄效应进行校正。
腿部的CV异常明显多于手臂(p < 0.0006),符合轴索性损伤标准的CMAP波幅降低在腿部也更常见(p < 0.0001)。使用GEE模型,基于FWL,轴索性损伤在腿部更常见,而脱髓鞘性损伤在手臂更常见,尤其是在年轻人中(例如,40岁与50岁相比)。这些差异难以用糖尿病病程来解释。
由于在糖尿病患者中,“轴索性”损伤在腿部可能更常见,而“脱髓鞘性”损伤在手臂更常见,本研究强调了这种分类方式的局限性,并支持不同类型神经病中EDX异常模式可能更具帮助的观点。