临床诊断的不同类型癫痫患者的脑电图变化频率

Dhali Sa, Barman Kk, M. Shahidullah, Dey Sk, MR Islam, Mf Islam, M. Alam
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引用次数: 0

摘要

背景:癫痫的诊断主要基于临床病史和检查。脑电图是评估癫痫患者的唯一最有价值的实验室检查。目的:了解临床诊断的不同类型癫痫患者的脑电图异常频率。方法:横断面研究在达卡Bangabandhu Sheikh Mujib医科大学神经内科进行。本研究共纳入神经内科癫痫门诊、普通门诊及脑电图室就诊的癫痫患者152例。获得了有关社会人口统计和癫痫发作特征的信息。采用标准数据收集表获取患者记录。结果:152例癫痫患者中,男性占62.5%,女性占37.5%,平均年龄20.69±11.83岁。脑电图异常81例(53.3%)。64例(79.0%)为全局性癫痫放电,17例(21.0%)为局灶性癫痫放电。81例脑电图异常患者中,峰波型31例(38.3%),尖波型26例(32.1%),多型24例(29.6%)。结论:脑电图是诊断癫痫综合征的重要工具,对脑电图的了解有助于制定治疗方案和判断预后。孟加拉国神经科学杂志2016;Vol. 32 (2): 63-67
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Frequency of EEG Changes In Different Types of Clinically Diagnosed Epileptic Patients
Background: Diagnosis of epilepsy is based mainly on clinical history and examination. EEG constitutes the single most valuable laboratory test in the evaluation of patients with epilepsy. Objective: The objective of the present study was to find out the frequency of EEG abnormality among different types of clinically diagnosed epileptic patients. Methods: This cross-sectional study was carried out in the Department of Neurology, Bangabandhu Sheikh Mujib Medical University, Dhaka. A total of 152 epileptic patients attended in the Epilepsy Clinic, General OPD and EEG room of the Department of Neurology were enrolled for this study. Information on socio-demographic and seizure characteristics was obtained. The records from patients were obtained using the standard data collection form. Result: Out of 152 epileptic patients male were 62.5% and female were 37.5%, mean age was 20.69 ± 11.83 years. Abnormal EEG was found in 81 (53.3%) patients. Most of the patients 64 (79.0%) had generalized epileptic discharge and 17 (21.0%) had focal epileptic discharge. Out of 81 patients with abnormal EEG wave, 31 (38.3%) patients had spike and wave, 26 (32.1%) patients had sharp wave and 24 (29.6%) patients had multiple types of EEG wave. Conclusion: The EEG is an important tool for diagnosing an epilepsy syndrome, knowledge of which aids in planning treatment and determining prognosis. Bangladesh Journal of Neuroscience 2016; Vol. 32 (2): 63-67
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