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哪种联合神经传导研究评分最适合糖尿病患者的多发性神经病?

Which combined nerve conduction study scores are best suited for polyneuropathy in diabetic patients?

机构信息

Department of Neurology and Clinical Neurophysiology, Oslo University Hospital, Oslo, Norway.

Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.

出版信息

Muscle Nerve. 2022 Feb;65(2):171-179. doi: 10.1002/mus.27445. Epub 2021 Nov 5.

Abstract

INTRODUCTION/AIMS: Nerve conduction studies (NCS) are widely used in diagnosing diabetic polyneuropathy. Combining the Z scores of several measures (Z-compounds) may improve diagnostics by grading abnormality. We aimed to determine which combination of nerves and measures is best suited for studies of diabetic polyneuropathy.

METHODS

Sixty-eight patients with type 1 diabetes and 35 controls were included in this study. NCS measurements were taken from commonly investigated nerves in one arm and both legs. Different Z-compounds were calculated and compared with reference material to assess abnormality. A sensitivity proxy, the accuracy index (AI), and Cohen's d were calculated.

RESULTS

Z-compounds with the highest AI consisted of the tibial and peroneal motor, and the sural, superficial peroneal, and tibial medial plantar sensory nerves in one or two legs. All Z-compounds were able to discriminate between diabetic subjects and nondiabetic controls (mean Cohen's d = 1.42 [range, 1.03-1.63]). The association between AI and number of measures was best explained logarithmically (R  = 0.401), with diminishing returns above approximately 14 or 15 measures. F-wave inclusion may increase the AI of the Z compounds. Although often clinically useful among the non-elderly, the additional inclusion of medial plantar NCS into Z-compounds in general did not improve AI.

DISCUSSION

Performing unilateral NCS in several motor and sensory lower extremity nerves is suited for the evaluation of polyneuropathy in diabetic patients. The use of Z-compounds may improve diagnostic accuracy in diabetic polyneuropathy and may be particularly useful for follow-up research studies as single summary measures of NCS abnormality development over time.

摘要

简介/目的:神经传导研究(NCS)广泛用于诊断糖尿病多发性神经病。通过分级异常,组合几个测量值的 Z 分数(Z 复合物)可能会提高诊断效果。我们旨在确定哪种神经和测量组合最适合糖尿病多发性神经病的研究。

方法

本研究纳入了 68 例 1 型糖尿病患者和 35 名对照者。NCS 测量值取自一只手臂和两条腿的常用研究神经。计算了不同的 Z 复合物,并与参考资料进行比较以评估异常。计算了灵敏度代理指标,准确性指数(AI)和 Cohen's d。

结果

AI 最高的 Z 复合物由一条或两条腿的胫神经和腓总神经、腓肠神经、浅腓总神经和胫后内侧足底感觉神经组成。所有 Z 复合物均能够区分糖尿病患者和非糖尿病对照者(平均 Cohen's d=1.42 [范围 1.03-1.63])。AI 与测量值数量之间的关系最好用对数表示(R=0.401),超过大约 14 或 15 个测量值后,回报逐渐减少。F 波的纳入可能会提高 Z 复合物的 AI。尽管在非老年人中通常具有临床意义,但一般将内侧足底 NCS 纳入 Z 复合物并不能提高 AI。

讨论

在几个运动和感觉下肢神经中进行单侧 NCS 适用于评估糖尿病患者的多发性神经病。Z 复合物的使用可能会提高糖尿病多发性神经病的诊断准确性,并且可能特别适用于随访研究,因为它是随时间推移 NCS 异常发展的单一综合指标。

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