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Electroencephalographic Findings, Antiepileptic Drugs and Risk Factors of 433 Individuals Referred to a Tertiary Care Hospital in Ethiopia

BACKGROUND: Little is known about the characteristics of electroencephalogram (EEG) findings in epileptic patients in Ethiopia. The objective of this study was to characterize the EEG patterns, indications, antiepileptic drugs (AEDs), and epilepsy risk factors. METHODS: A retrospective observational...

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Detalles Bibliográficos
Autores principales: Ayele, Biniyam A, Belay, Hanna Demissie, Oda, Dereje Melka, Gelan, Yohannes D, Negash, Hanna Assefa, Kifelew, Selam, Gebrewold, Meron Awraris, Hagos, Teklil, Zewde, Yared Z, Yifru, Yared Mamushet, Tsehayneh, Fikru, Amare, Amanuel, Moges, Ayalew, Gugssa, Seid Ali, Mengesha, Abenet Tafesse
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research and Publications Office of Jimma University 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554775/
https://www.ncbi.nlm.nih.gov/pubmed/36262703
http://dx.doi.org/10.4314/ejhs.v32i5.5
Descripción
Sumario:BACKGROUND: Little is known about the characteristics of electroencephalogram (EEG) findings in epileptic patients in Ethiopia. The objective of this study was to characterize the EEG patterns, indications, antiepileptic drugs (AEDs), and epilepsy risk factors. METHODS: A retrospective observational review of EEG test records of 433 patients referred to our electrophysiology unit between July 01, 2020 and December 31, 2021. RESULTS: The age distribution in the study participants was right skewed unipolar age distribution for both sexes and the mean age of 33.8 (SD=15.7) years. Male accounted for 51.7%. Generalized tonic clonic seizure was the most common seizure type. The commonest indication for EEG was abnormal body movement with loss of consciousness (35.2%). Abnormal EEG findings were observed in 55.2%; more than half of them were Interictal epileptiform discharges, followed by focal/or generalized slowing. Phenobarbitone was the commonest AEDs. A quarter (20.1%) of the patients were getting a combination of two AEDs and 5.2% were on 3 different AEDs. Individuals taking the older AEDs and those on 2 or more AEDs tended to have abnormal EEG findings. A cerebrovascular disorder (27.4%) is the prevalent risk factor identified followed by brain tumor, HIV infection, and traumatic head injury respectively. CONCLUSIONS: High burden of abnormal EEG findings among epileptic patients referred to our unit. The proportion of abnormal EEG patterns was higher in patients taking older generation AEDs and in those on 2 or more AEDs. Stroke, brain tumor, HIV infection and traumatic head injury were the commonest identified epilepsy risk factors.