Prediction of Response to Treatment in Children with Epilepsy

Mohammad Ghofrani1, Mohammad Mehdi Nasehi1, Sasan Saket1

  • 1Child Neurology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Insights

Predicting treatment response in children with epilepsy is crucial for effective management. Abnormal electroencephalogram (EEG) findings significantly influence treatment outcomes in pediatric epilepsy patients.

Area of Science:

  • Pediatric Neurology
  • Epileptology
  • Clinical Neurophysiology

Background:

  • Epilepsy affects a significant number of children globally.
  • Predicting treatment response is essential for optimizing therapeutic strategies and improving patient outcomes.
  • Understanding factors influencing treatment efficacy in pediatric epilepsy is a key clinical challenge.

Purpose of the Study:

  • To predict treatment response in children with epilepsy receiving anti-epilepsy drugs.
  • To identify factors associated with good or poor response to anti-epilepsy drug treatment in pediatric patients.

Main Methods:

  • An analytical, questionnaire-based study involving 128 children diagnosed with epilepsy.
  • Patients aged 2 months to 12 years were followed for 6 months to assess treatment response.
  • Good response was defined as seizure freedom with two anti-epilepsy drugs during the follow-up period.

Main Results:

  • Abnormal electroencephalogram (EEG) findings were observed in 78.9% of patients.
  • A significant proportion of patients (68.8%) showed a poor response to treatment.
  • History of asphyxia (Odds Ratio = 6.82), neonatal jaundice (Odds Ratio = 2.81), and abnormal EEG (Odds Ratio = 0.19) were identified as significant factors influencing treatment response.

Conclusions:

  • Abnormal EEG is a significant predictor of treatment response in children with epilepsy.
  • Factors such as asphyxia and neonatal jaundice also play a role in treatment outcomes.
  • Further research is warranted to explore these associations and refine treatment strategies.
Abstract

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