Yield of Sleep Deprivation EEG in Suspected Epilepsy. A Retrospective Study

Author:

Guerrero-Aranda Alioth12ORCID,Enríquez-Zaragoza Andrea3,López-Jiménez Karla3,González-Garrido Andrés Antonio14ORCID

Affiliation:

1. Department of Clinical Neurophysiology, Grupo RIO, Guadalajara, México

2. University Center “Los Valles”, University of Guadalajara, Ameca, México

3. Department of EEG and Brain Mapping, TELEEG, Guadalajara, México

4. Institute of Neurosciences, University of Guadalajara, Guadalajara, México

Abstract

Background. Sleep is an activation procedure and is considered the most potent and best-documented modulator of seizures and interictal epileptiform discharges (IEDs) on electroencephalogram (EEG). The precise role of sleep deprivation in the diagnostic process of epilepsy has not been fully clarified after more than 50 years of use. Sleep deprivation is a procedure that is accompanied by discomfort for patients and their families. Therefore, an accurate indication according to each patient-specific characteristic is needed. This study aims to assess the effectiveness of sleep deprivation EEG in the diagnostic process of patients with suspected epilepsy in our center. Methods. We included patients with a first unprovoked seizure and patients with paroxysmal events suspecting seizures who underwent a sleep deprivation EEG (sdEEG) or routine EEG (rEEG). All patients were subsequently classified with confirmed epilepsy or not. Results. We included 460 patients. The group with sdEEG consisted of 115 patients, while the group with rEEG comprised 345 patients. In the sdEEG group, 19 patients (17%) were confirmed with epilepsy, of which 17 presented interictal epileptiform discharges (IEDs). For the rEEG group, 66 patients (19%) were confirmed with epilepsy, of which 63 presented IEDs. The difference was not statistically significant. Conclusion. Our study failed to find a difference in the yield of sleep deprivation versus routine EEG in patients with epilepsy, but there are many significant confounders/sample biases that limit the generalizability of the findings, particularly to the majority of adult practices.

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology,General Medicine

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