Role of Electroencephalogram (EEG) AS Predictor to Post Stroke Seizures

Sallam, Khalid; Kasem, Shaimaa Mohamed; El-Azab, Mohamed Hammad; Ahmed, Fatma Badawy

doi:10.21608/bmfj.2022.168342.1685

Role of Electroencephalogram (EEG) AS Predictor to Post Stroke Seizures

Document Type : Original Article

Authors

¹ Neuropsychitary Department, Faculty of Medicine-Benha University.

² Lecturer of Neurology Faculty of Medicine, Benha University

³ Lecturer of Neurology Faculty of Medicine-Banha University

⁴ Department of Neurology Faculty of Medicine -Banha University

10.21608/bmfj.2022.168342.1685

Abstract

Background: The predictive value of EEG examinations for functional outcome in stroke patients was already described in the 1980s in small cohorts. Now electroencephalography (EEG) is a sensitive neurophysiological technique in the detection of acute cerebral ischemia and a robust one in the functional assessment of the brain. The aim of this work was to assess the value of EEG as predictor of post stroke seizures.
Methods: This study was prospective study conducted in neuropsychiatry department at Benha University hospital, the studied sample was (70) patients developed acute ischemic stroke fulfilling criteria. Total sample size was (80) patients, (75) who were alive at 6 months, five patients were died at ICU by complications, (70) had an EEG at this time. Five patients were didn't complete the follow-up between 6 months.
Results: There was significant relation between EEG Findings & occurrence of post stroke seizures. 7 (10%) patient of total studied sample after 3 months had post stroke seizures with only (11) with abnormal EEG, 6 (8.5%) patient after 6 months had post stroke seizures with only (10) abnormal EEG so there was significant relation between EEG Findings & developing post stroke seizures, also there was significant statistical relation between The National Institutes of Health Stroke Scale (NIHSS) & Early electroencephalography(EEG) findings.
Conclusion: The EEG abnormalities can be considered as a sensitive predictor for post stroke seizure and also can be used as a diagnostic and prognostic tool.

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