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Author: search.filters.author.Freweini Gebremeskel (MD)

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    A Study on Electroencephalography (EEG): Its Indications, Findings, and Predictors of Abnormal Results In Pediatrics Age group at Ayder Comprehensive Specialized Hospital, Mekelle, Northern Ethiopia
    (Mekelle University, 2024-10-01) Freweini Gebremeskel (MD)
    Background: Electroencephalography, often referred to as EEG, is a non-invasive electrophysiological imaging technique used to record the brain’s electrical activity. In Ethiopia, particularly Tigray, there is no study a specific study on EEG study among pediatric age group, its indications, and findings at Ayder Comprehensive Specialized Hospital (ACSH) in Mekelle, Northern Ethiopia. Objective: To study the indications for EEG, the prevalence of abnormal EEG results, and identify predictors of EEG abnormality in pediatrics age group at ACSH. Methods : A cross-sectional study was carried out on 439 pediatric patients who underwent EEG study at ACSH for a range of neurological disorders from October 2019 to September 2024. Data were collected using a checklist, with the data source being electronic EEG records. The ODK collect mobile application was used for simultaneous data collection and entry. After exporting data to SPSS 27, both descriptive and inferential statistics were applied. Binary logistic regression was fitted to identify predictors of EEG abnormality. A p-value less than 0.05 was used to declare statistical significance. Result: The mean age of the study participants is 7.9 years and about two-third (63.6%) were male. More than three-fourths (77.0%) were right-handed and the most common clinical diagnosis wa generalized epilepsy (62%) and 89% of the participants had seizure history. The most prevalent EEG finding was generalized epileptiform (43.1%). Overall, two-thirds (66.5%) of the EEG studies exhibited abnormality. The odds of abnormal EEG findings were almost five times higher in children not on remission (AOR=4.6, 95% CI: 1.9 to 11.2, p=0.001). The odds of abnormal EEG were seven times higher in children with history of seizure (AOR=7.0, 95% CI: 3.4 to 14.3, p<0.001). The odds of abnormal EEG findings were found to increase by 20% as duration of epilepsy rises by one year (AOR=1.2, 95% CI: 1.1 to 1.4, p=0.001). The odds of abnormal EEG results were 12.6 times higher among children who had no febrile seizures than their counterparts (AOR=12.6, 95% CI: 1.4 to 111.3, p=0.022). Conclusion and Recommendations: In the present study, the prevalence of abnormal EEG results was higher compared to other Ethiopian studies due to different reasons. Factors remarkably related to EEG abnormality are duration of seizure/epilepsy, febrile seizure, seizure history, and remission status. Therefore, more emphasis should be given to children with an ongoing seizure (not on remission) and long history of seizure. Further research on the relationship between EEG abnormality and febrile seizure should be conducted and supported by concerned bodies.