Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
Department of Neurology, Division of Neuromuscular Medicine, University of Michigan School of Medicine, Ann Arbor, Michigan, USA.
Muscle Nerve. 2023 Jan;67(1):45-51. doi: 10.1002/mus.27753. Epub 2022 Nov 23.
INTRODUCTION/AIMS: In vasculitic neuropathy (VN), a 50% side-to-side difference in the amplitude of compound muscle action potentials and sensory nerve action potentials is considered meaningful, but unequivocal evidence is lacking. The aim of this study is to characterize electrodiagnostic features that best distinguish VN from other axonal polyneuropathies.
We conducted a case-control study between January 2000 and April 2021. We reviewed the records of patients with VN who had bilateral nerve conduction studies (NCS) and evaluated different electrodiagnostic models to help distinguish VN from non-inflammatory axonal polyneuropathies.
We identified 82 cases, and 174 controls with non-inflammatory axonal neuropathies. The amplitude percent difference Z-score model showed the best discriminatory capability between cases and controls (area under the curve [AUC] 0.87; 95% confidence interval [CI] 0.82, 0.93), and the number of nerves tested did not significantly influence the model. Individually, the ulnar motor nerve (AUC 0.86; 95% CI 0.77, 0.94) and median motor nerve (AUC 0.85; 95% CI 0.77, 0.94) showed the best discriminatory capability. A 50% amplitude difference between at least two bilateral nerves, either in the upper (AUC 0.85; 95% CI 0.77, 0.93) or lower (AUC 0.79; 95% CI 0.71, 0.87) extremity showed good discriminatory threshold for detecting VN.
The best electrodiagnostic criteria for VN utilizes z-scores of percent differences in nerve amplitudes, but this approach may be difficult to implement at the bedside. Alternately, a 50% amplitude difference in at least two nerves is a reasonable approximation.
介绍/目的:在血管炎性神经病(VN)中,认为复合肌肉动作电位和感觉神经动作电位振幅的 50%侧-侧差异具有意义,但缺乏明确证据。本研究旨在描述可最好地区分 VN 与其他轴索性多发性神经病的电诊断特征。
我们进行了一项 2000 年 1 月至 2021 年 4 月的病例对照研究。我们回顾了双侧神经传导研究(NCS)的 VN 患者的记录,并评估了不同的电诊断模型,以帮助区分 VN 与非炎症性轴索性多发性神经病。
我们共确定了 82 例 VN 病例和 174 例非炎症性轴索性神经病对照。振幅百分比差异 Z 分数模型在病例和对照组之间具有最佳的区分能力(曲线下面积 [AUC] 0.87;95%置信区间 [CI] 0.82,0.93),且测试的神经数量对模型没有显著影响。单独来看,尺神经运动神经(AUC 0.86;95%CI 0.77,0.94)和正中神经运动神经(AUC 0.85;95%CI 0.77,0.94)具有最佳的区分能力。至少有两条双侧神经的振幅存在 50%差异,无论是在上肢(AUC 0.85;95%CI 0.77,0.93)还是下肢(AUC 0.79;95%CI 0.71,0.87),都可以作为检测 VN 的良好区分阈值。
VN 的最佳电诊断标准是利用神经振幅百分比差异的 Z 分数,但这种方法在床边实施可能较为困难。替代方案是,至少两条神经的振幅差异达到 50%是合理的近似值。