Management of Status Epilepticus in Children before and after Implementation of a Treatment Algorithm

Anne-Sophie Bard1, Noémie Savard1, Isabelle Laverdière2

  • 1, PharmD, MSc, is with the Faculty of Pharmacy, Université Laval, and the Pharmacy Department, CHU de Québec - Université Laval, Québec, Quebec.

Insights

Implementing a status epilepticus (SE) treatment algorithm in children showed limited improvements in care. Lorazepam dosing remained suboptimal, indicating a need for enhanced clinician training in pediatric SE management.

Area of Science:

  • Pediatric Neurology
  • Clinical Pharmacology
  • Evidence-Based Medicine

Background:

  • Status epilepticus (SE) in children requires prompt and effective pharmacological management to prevent severe outcomes.
  • Current treatment guidelines emphasize rapid administration of antiseizure medications (ASMs).

Purpose of the Study:

  • To evaluate the impact of a new drug treatment algorithm on the management of pediatric SE.
  • To assess compliance with the algorithm after its implementation.

Main Methods:

  • A retrospective chart review of 108 pediatric patients diagnosed with SE treated between January 2019 and April 2023.
  • Comparison of SE management strategies and outcomes before and after the algorithm's implementation across five hospitals.

Main Results:

  • First-line treatment predominantly involved benzodiazepines (BZDs) in both pre- and post-algorithm groups.
  • Time to treatment and choice of ASM showed minimal changes; however, weight-based lorazepam dosing remained suboptimal for patients under 40 kg.
  • Algorithm compliance for ASM choice was high (98%), but dose compliance was only 53%.

Conclusions:

  • The implemented drug treatment algorithm had a limited effect on pediatric SE management practices.
  • Suboptimal lorazepam dosing persists, highlighting the need for further education and training for clinicians.
  • Refinement of the algorithm or additional training may be necessary to improve SE treatment outcomes in children.
Abstract

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