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2型糖尿病病人事件相关电位P300的研究
引用本文:陈璇 陈薇 等. 2型糖尿病病人事件相关电位P300的研究[J]. 第一军医大学学报, 2003, 23(3): 257-259
作者姓名:陈璇 陈薇 等
作者单位:[1]第一军医大学南方医院神经内科,广东广州510515 [2]汕头大学医学院第二附属医院,汕头广东515041
摘    要:目的:通过对2型糖尿病患者进行事件相关电位(ERP)的检测,早期发现病人认知功能异常程度及相关因素。方法;用Nicolet Viking IV型肌电图/诱发电位仪对30例2型糖尿病患者和30例年龄,性别、教育程度相匹配的健康人进行事件相关电位P300检测,对两组间ERP各参数的差异进行方差分析,t检验及Poisson分析,观察病例组ERP各参数变化与糖基血红蛋白,血脂之间的关系。结果:(1)不同性别及文化程度的正常人中P300的波峰潜伏期无显著性差异(P>0.05),(2)与正常对照组相比,2型糖尿病患者P300波峰潜伏期显著延长(P<0.01),波幅显著下降(P<0.05),(3)2型糖尿病患者P300波峰潜伏期的延长与糖基血红蛋白,血脂的增高相关(P<0.05)。结论:ERP是检测2型糖尿病患者认知功能障碍的敏感指标,有助于早期发现糖尿病患者的潜在性痴呆。

关 键 词:事件相关电位 P300 认知功能 糖尿病 非胰岛素依赖型

Event-related potentials P300 in type 2 diabetes mellitus.
Xuan Chen,Wei Chen,Shen-ren Chen,Yi-ping Luo. Event-related potentials P300 in type 2 diabetes mellitus.[J]. Journal of First Military Medical University, 2003, 23(3): 257-259
Authors:Xuan Chen  Wei Chen  Shen-ren Chen  Yi-ping Luo
Affiliation:Department of Neurology, Nanfang Hospital, First Military Medical University, Guangzhou 510515, Chin.
Abstract:OBJECTIVE: To investigate event-related potentials (ERP) P(300) in patients with type 2 diabetes mellitus (DM) for early detection of the abnormalities in cognitive function and studying the related factors. METHODS: With the assistance of Nicolet Vinking IV equipment, ERP (P(300)) were tested in 30 type 2 diabetic patients and 30 healthy subjects matched for age, gender, and education background, and the the results were analyzed statistically. The relationships of each ERP parameter with glucose hemoglobin (GHb) and blood lipid levels and renal function were analyzed. RESULTS: No significant difference was found in P(300) latencies in the control group irrespective of the gender and education (P > 0.05), while the latencies were significantly prolonged (P < 0.01) and the amplitudes decreased (P < 0.05) in diabetic patients. It was found that P(300) correlated with glucose hemoglobin (GHb) and blood lipid levels (P < 0.05). CONCLUSION: ERP test is useful for early detection of cognition dysfunction in DM cases, helping to timely identify diabetic patients with potential dementia.
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