2019•Journal of Child NeurologyRequires access

Prediction of Drug-Resistant Epilepsy in Children With Cerebral Palsy

Itay Tokatly Latzer, Amit Blumovich, Liora Sagi, Shimrit Uliel‐Sibony, Aviva Fattal‐Valevski

Open publisher page 28 citations

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.

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What this paper is about

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.

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Available 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.

Key concepts: Cerebral palsy, Epilepsy, Medicine, Drug Resistant Epilepsy, Epilepsy in children, Electroencephalography, Pediatrics, Anesthesia

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