Post-stroke epilepsy in Polish paediatric patients

Ilona Kopyta1, Beata Sarecka-Hujar2, Michal Skrzypek3

  • 1Department of Paediatrics and Developmental Age Neurology, School of Medicine in Katowice, Medical University of Silesia, Katowice, Poland.

Insights

Predictors of pediatric post-stroke seizures include younger age at stroke, focal cerebral arteriopathy (FCA), and multiple infarct foci. These findings aid in identifying children at higher risk for developing epilepsy after arterial ischaemic stroke (AIS).

Area of Science:

  • Neurology
  • Pediatrics
  • Stroke Research

Background:

  • Pediatric arterial ischaemic stroke (AIS) can lead to seizures, impacting long-term neurological outcomes.
  • Characterizing early and late remote seizures post-AIS is crucial for understanding epilepsy development in children.
  • Identifying predictors of post-stroke seizures can inform risk stratification and management strategies.

Purpose of the Study:

  • To characterize seizure occurrence in children following AIS.
  • To identify predictors associated with early and late remote seizures after pediatric AIS.
  • To investigate the relationship between stroke characteristics and post-stroke epilepsy.

Main Methods:

  • Retrospective analysis of 78 pediatric patients (1-18 years) with AIS.
  • Categorization of seizures into early (≤7 days) and late (>7 days) post-stroke.
  • Statistical analysis, including multivariable Cox regression, to identify seizure predictors.

Main Results:

  • Post-stroke epilepsy developed in 10 patients.
  • Late remote seizure patients were younger on average than non-seizure patients.
  • Significant predictors of post-stroke seizures included younger age at stroke, focal cerebral arteriopathy (FCA), and a higher number of infarct foci.

Conclusions:

  • Age at stroke, FCA, and number of infarct foci are significant predictors of post-stroke seizures in Polish pediatric patients.
  • These factors can help identify children at risk for developing epilepsy after AIS.
  • Further research may refine prediction models for pediatric post-stroke epilepsy.
Abstract

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