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dc.contributor.authorOwolabi, Lukman F-
dc.contributor.authorReda, Abdul Razeq A-
dc.contributor.authorAhmed, Raafat E-
dc.contributor.authorEnwere, Okezie O-
dc.contributor.authorAdamu, Bappa-
dc.contributor.authorAlGhamdi, Mushabab-
dc.date.accessioned2024-10-26T03:27:08Z-
dc.date.available2024-10-26T03:27:08Z-
dc.date.issued2021-
dc.identifier.issn1658-3612-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/6755-
dc.description.abstractObjective: 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.en_US
dc.language.isoen_USen_US
dc.publisherJournal of Taibah University Medical Sciencesen_US
dc.relation.ispartofseriesOriginal Article;86-92-
dc.subjectChildrenen_US
dc.subjectElectroencephalographyen_US
dc.subjectEpilepsyen_US
dc.subjectPredictorsen_US
dc.subjectYielden_US
dc.titleElectroencephalography findings in childhood epilepsy in a Saudi population: Yield, pattern and determinants of abnormalityen_US
dc.typeArticleen_US
Appears in Collections:Vol 16 No 1 (2021)

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