肘部尺神经病变的GEHS神经生理学分类系统。

U.S. Army Medical Department journal Pub Date : 2017-10-01
David G Greathouse, Greg Ernst, John S Halle, Scott W Shaffer
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引用次数: 0

摘要

背景:肘部尺神经神经病是影响用手和上肢进行高强度工作的人的许多肌肉相关和神经相关疾病之一,是第二常见的周围神经单神经病变。目前医学界对肘部尺神经病变患者有几种分类系统。然而,这些分类系统很少包括临床电生理参数神经传导(NCS)和肌电图(EMG)研究。目的:本文描述了GEHS (Greathouse, Ernst, Halle, and Shaffer)对肘部尺神经病变患者的神经生理分类系统,并包括2例肘部尺神经病变电生理证据患者的病例研究。病例研究:两个病例研究患者的电生理证据的神经病变的尺骨神经在肘部提出。GEHS神经生理学分类系统被纳入这些案例研究的讨论。摘要和临床意义:本文描述了肘部尺神经病变患者的GEHS神经生理学分类系统,其中包括电生理检查的NCS和EMG组件的结果。包括NCS和EMG测试在内的扩展电生理数据的可用性为医疗团队和患者提供了更详细的信息,这些信息可能有助于确定下一步的治疗步骤以及长期预后。未来的研究比较GEHS神经生理学分类的心理测量特性和预后效用是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GEHS neurophysiological classification system for patients with neuropathy of the ulnar nerve at the elbow.

Background: Neuropathy of the ulnar nerve at the elbow is one of a number of muscle-related and nerve-related disorders that affect people performing intensive work with their hands and upper extremities, and is the second most prevalent peripheral nerve mononeuropathy. There are several classification systems currently being used by the medical community for patients with neuropathy of the ulnar nerve at the elbow. However, few of these classification systems include the clinical electrophysiologic parameters nerve conduction (NCS) and electromyographic (EMG) studies.

Purpose: This article describes the GEHS (Greathouse, Ernst, Halle, and Shaffer) neurophysiological classification system for patients with neuropathy of the ulnar nerve at the elbow and includes 2 case studies of patients with electrophysiological evidence of neuropathy of the ulnar nerve at the elbow.

Case studies: Two case studies of patients with electrophysiological evidence of neuropathy of the ulnar nerve at the elbow are presented. The GEHS neurophysiological classification system is incorporated into the discussion of these case studies.

Summary and clinical relevance: This article describes the GEHS neurophysiological classification system for patients with neuropathy of the ulnar nerve at the elbow which incorporates findings for both the NCS and EMG components of the electrophysiological examination. Availability of expanded electrophysiological data that includes both NCS and EMG testing provides the healthcare team and the patient with more detailed information that may be useful in determining next treatment steps as well as long-term prognosis. Future research comparing the psychometric properties and prognostic utility of the GEHS neurophysiologic classifications is warranted.

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