Prediction of Drug-Resistant Epilepsy in Children With Cerebral Palsy

J Child Neurol. 2020 Mar;35(3):187-194. doi: 10.1177/0883073819883157. Epub 2019 Nov 4.

Abstract

Epilepsy is estimated to exist in approximately 40% of individuals with cerebral palsy; however, the specific features that make it drug resistant are not well defined. The main aim of this study was to determine the clinical risk factors that could predict drug-resistant epilepsy, in children with cerebral palsy. The study was performed via a retrospective chart review, analyzing clinical parameters of 118 children with cerebral palsy with either drug-resistant epilepsy or controlled epilepsy, between the years 2013 and 2018. We established a predictive model for drug-resistant epilepsy in children with cerebral palsy that is simple to apply in clinical settings and composed of the additive effect of a low Apgar score at 5 minutes, neonatal seizures, focal-onset epilepsy, and focal slowing on electroencephalogram (EEG; area under the receiver operating characteristic of 0.840). Early prediction of drug-resistant epilepsy may benefit to achieve better seizure control in children with cerebral palsy.

Keywords: cerebral palsy; children; drug-resistant; epilepsy; intractable; seizures.

Publication types

  • Observational Study

MeSH terms

  • Adolescent
  • Apgar Score*
  • Brain / physiopathology
  • Cerebral Palsy / complications*
  • Child
  • Child, Preschool
  • Drug Resistant Epilepsy / complications*
  • Drug Resistant Epilepsy / diagnosis*
  • Drug Resistant Epilepsy / physiopathology
  • Electroencephalography*
  • Female
  • Humans
  • Infant
  • Male
  • Retrospective Studies
  • Risk Factors