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作 者:张建玲[1] 张艺耀[1] 王海音[1] 孔冬梅[1] 赵诚炫[1] ZHANG Jianling;ZHANG Yiyao;WANG Haiyin;KONG Dongmei;ZHAO Chengxuan(Department of Special Diagnosis,Air Force Medical Center,Beijing 100142,China)
出 处:《空军医学杂志》2019年第6期491-494,共4页Medical Journal of Air Force
基 金:全军保健专项科研基金面上项目(14BJZ40)
摘 要:目的通过对2型糖尿病患者四肢运动和感觉神经传导检测和分析,探讨其神经电位表现特点与糖尿病周围神经病临床诊断的相关情况,分析其神经传导检测异常率与糖尿病患者病程和生化指标的相互关系。方法对1 249例临床已确诊2型糖尿病患者,采用肌电诱发电位仪进行四肢运动和感觉神经电生理检查,测定神经电位潜伏期、波幅及神经传导速度;检测空腹血糖、糖化血红蛋白,记录患病病程,应用SPSS 22.0软件对数据进行统计分析。结果不同病程糖尿病患者神经传导异常有差异,病程越长,神经传导检查异常率越高,与临床经验一致;神经传导异常率与空腹血糖、糖化血红蛋白水平均无显著关系性。结论神经传导检查能够实时获取神经电位相关参数,客观反映神经传导功能,检测无创有效,方便易行,具有良好的可重复性。为临床及早发现诊断糖尿病周围神经病提供客观的依据,为定期随访提供数据跟踪,可实时反映神经传导功能。Objective To study the relationships between the neuropotential features and clinical diagnosis of diabetic peripheral neuropathy by detecting and analyzing limb movement and sensory nerve conduction of extremities in patients with type 2 diabetes mellitus, and those between the rate of abnormal nerve conduction detection, the course of disease, and biochemical indexes in patients with diabetes mellitus. Methods The condition of limb movement and sensory nerve action potential in 1 249 patients with type 2 diabetes mellitus were examined by Nicolet EDX electromyography(EMG). The latency, amplitude and conduction velocity of nerve potentials were measured. The Hitachi 7600 automatic biochemical analyzer was employed to detect fasting blood sugar and glycosylated hemoglobin, and record the course of disease. SPSS 22.0 statistical software was used for statistical analysis. Results Differences were found in abnormal nerve conduction in different courses of diabetes mellitus. The longer the course of disease, the higher the rate of abnormal nerve conduction examination, which was consistent with clinical experience, but there was no significant relationship between the rate of abnormal nerve conduction, fasting blood sugar and glycosylated hemoglobin. Conclusion Nerve conduction examination can not only help obtain the related parameters of nerve potentials in real time, but objectively ref lect the nerve conduction function. It is effective for noninvasive detection, user-friendly, feasible, and easily repeatable. It can facilitate the early detection and diagnosis of diabetic peripheral neuropathy, and provides data for regular follow-up. It also ref lects nerve conduction function in real time.
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