Electroencephalography as a tool for evidence-based diagnosis and improved outcomes in children with epilepsy in a

Ike Oluwa Abiola Lagunju1, Alexander Opebiyi Oyinlade1, Omolola Mojisola Atalabi2

  • 1Department of Paediatrics, College of Medicine, University of Ibadan/University College Hospital, Ibadan, Nigeria.

Insights

Electroencephalography (EEG) significantly improves epilepsy diagnosis in Nigerian children, reducing misdiagnosis of generalized epilepsy and increasing identification of localization-related epilepsy. This impacts appropriate therapy and reduces healthcare burdens in resource-poor settings.

Area of Science:

  • Pediatric Neurology
  • Diagnostic Imaging in Epilepsy

Background:

  • Electroencephalography (EEG) is crucial for epilepsy diagnosis.
  • Children in developing nations often lack access to diagnostic tools, leading to misdiagnosis and improper treatment.
  • This study examines EEG use in Nigerian children with epilepsy.

Purpose of the Study:

  • To evaluate access to EEG services for pediatric epilepsy patients in Nigeria.
  • To assess the impact of EEG on epilepsy diagnosis in children.
  • To compare clinical diagnoses with post-EEG diagnoses.

Main Methods:

  • Inter-ictal EEG was performed on pediatric epilepsy patients over 18 months.
  • Clinical diagnoses were compared with final diagnoses after EEG evaluation.
  • A cohort of 329 Nigerian children (3 months–16 years) was studied.

Main Results:

  • Pre-EEG evaluation misclassified 69.3% of epilepsies as generalized.
  • Post-EEG evaluation revealed a higher proportion of localization-related epilepsies (33.6%).
  • EEG led to a 21% decrease in generalized epilepsy diagnoses and a 55% increase in localization-related epilepsy diagnoses (p<0.001).

Conclusions:

  • Absence of EEG evaluation carries a high risk of misdiagnosis and inappropriate therapy for pediatric epilepsy.
  • Findings are critical for resource-poor settings, aiming to reduce epilepsy care burdens.
  • Improved diagnostic accuracy through EEG can optimize treatment and lower healthcare costs.
Abstract