24小时动态脑电图对疑似癫痫患者临床诊断的影响

C. Batista, Daniel Filipe Borges, P. Coelho, A. Ferreira, T. Pereira, J. Conde
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摘要

背景:脑电图(EEG)是评估致痫性皮层活动的金标准技术。然而,由于生物电信号的神经生理特性以及常规脑电图(rEEG)和睡眠剥夺脑电图(sEEG)登记的持续时间较短,灵敏度较低。24小时动态脑电图(aEEG)是一种长时间的记录,可以显著提高诊断能力,具有吸引力和成本效益。本研究对疑似癫痫患者的aEEG进行分析,探讨其对癫痫临床诊断的特异性和敏感性。此外,我们努力确定任何其他可能的诊断预测因素。方法和研究结果:回顾性观察研究纳入2011年5月至2018年5月在Matosinhos - Pedro Hispano医院当地卫生单位神经生理学实验室接受aEEG的连续疑似癫痫患者。获得83个个体的样本,平均年龄为44.5岁(79名成人和4名儿科)。aEEG对癫痫的临床诊断具有良好的诊断能力,特异性为97%,敏感性为68%。假阴性和假阳性检出率分别为7%和5%。预计有晕厥或意识丧失迹象的患者不会被诊断为癫痫。结论:aEEG具有较高的特异性,可作为评估疑似癫痫、常规脑电图不明显、睡眠剥夺脑电图或疑似非癫痫性发作的有效工具,尤其可排除癫痫的诊断。这种方法可以减少诊断所需的时间。
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The Impact of 24-Hour Ambulatory EEG in the Clinical Approach to Patients with Suspected Epilepsy
Background: The Electroencephalogram (EEG) is the gold standard technique to assess the epileptogenic cortical activity. However, due to the neurophysiology of the bioelectrical signal and the short duration of the routine EEG (rEEG) and sleepdeprived EEG (sEEG) registers, the sensitivity is low. The 24-hour Ambulatory EEG (aEEG), being a prolonged recording, could significantly improve the diagnostic capability, in an attractive cost-effective way. In this study, we analyzed the aEEG of patients with suspected epilepsy, addressing its specificity and sensitivity for the clinical diagnosis of epilepsy. Additionally, we endeavour to ascertain any other possible predictive factors of diagnosis. Methods and Findings: Retrospective observational study enrolling consecutive patients with suspected epilepsy who underwent aEEG between May 2011 and May 2018 at the Neurophysiology Laboratory from Local Health Unit of Matosinhos – Pedro Hispano Hospital. A sample of 83 individuals was obtained, with a mean age of 44.5 years (79 adults and 4 paediatric). aEEG showed a good diagnostic capacity for the clinical diagnosis of epilepsy with a specificity of 97% and sensitivity of 68%. The rate of false-negatives and false-positives was 7% and 5%, respectively. It’s expected that patients with an indication of syncope or loss of consciousness will not have epilepsy diagnosis. Conclusion: The aEEG can be a useful tool to assess patients with suspected epilepsy and unremarkable routine and sleep-deprived EEGs, or in cases of suspected non-epileptic seizures, particularly to exclude the epilepsy diagnosis given its high specificity. This approach can lessen the time required to identify the diagnosis.
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