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Title: | Electroencephalography findings in childhood epilepsy in a Saudi population: Yield, pattern and determinants of abnormality |
Authors: | Owolabi, Lukman F Reda, Abdul Razeq A Ahmed, Raafat E Enwere, Okezie O Adamu, Bappa AlGhamdi, Mushabab |
Keywords: | Children Electroencephalography Epilepsy Predictors Yield |
Issue Date: | 2021 |
Publisher: | Journal of Taibah University Medical Sciences |
Series/Report no.: | Original Article;86-92 |
Abstract: | Objective: The study was designed to evaluate the yield, pattern, and factors that are independently associated with electroencephalography (EEG) abnormalities in childhood epilepsy in a Saudi population. Methods: We characterised the features of the first EEG and evaluated the associated factors in children with epilepsy in a Saudi population. The features of interictal epileptiform discharges (interictal epileptiform activity (IEA)) adopted by the International Federation of Societies for Electroencephalography and Clinical Neurophysiology were used in the study. Result: A total of 756 paediatric patients, comprised of 427 men (56.5%) and 329 women (43.5%) with a clinical diagnosis of epilepsy, underwent EEG. Clinically, seizure was generalised in 619 (81.9%) patients and focal in 137 (18.1%). Among the patients, 397 (52.51%) had an abnormal EEG, while EEG was normal in 359 (47.49%) patients. Seizure frequency, gender, family history of epilepsy, and age were independent predictors of the presence of EEG abnormalities. Conclusion: This study revealed a yield of 52% abnormal EEG findings in children with epilepsy. Age, gender, family history, and seizure frequency were independent predictors of the presence of EEG abnormalities in childhood epilepsy. |
URI: | http://localhost:8080/xmlui/handle/123456789/6755 |
ISSN: | 1658-3612 |
Appears in Collections: | Vol 16 No 1 (2021) |
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