Ordinary Differential Equation-Based Individualized Pharmacokinetic Simulation for Dose Optimization in an Infant

Archana Mishra1, Krishna M Gulla2, Rituparna Maiti1

  • 1Department of Pharmacology, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.

Neurology India
|July 21, 2026
PubMed

Insights

Individualized pharmacokinetic simulations can optimize antiseizure drug (ASD) dosing in children with refractory epilepsy and global developmental delay (GDD). This approach ensures therapeutic drug levels, leading to seizure control and improved patient outcomes.

Area of Science:

  • Pediatric Neurology
  • Pharmacokinetics
  • Epilepsy Management

Background:

  • Refractory epilepsy affects 10-20% of children with global developmental delay (GDD).
  • Antiseizure drugs (ASDs) have narrow therapeutic indices, necessitating careful monitoring.
  • Optimizing ASD therapy is critical for managing uncontrolled seizures in this population.

Purpose of the Study:

  • To illustrate the utility of pharmacokinetic simulations in optimizing ASD dosing for an infant with GDD and refractory epilepsy.
  • To demonstrate the importance of individualized dosing strategies over empirical adjustments.

Main Methods:

  • A case study of an infant with GDD, TBC1D24 mutation, and refractory seizures.
  • Numerical solution of pharmacokinetic ordinary differential equations to simulate drug behavior.
  • Dose adjustments for valproate and carbamazepine based on simulation results.

Main Results:

  • Initial ASD serum levels (valproic acid, carbamazepine, phenytoin) were subtherapeutic.
  • Adjusted doses of valproate (240 mg every 4 h) and carbamazepine (100 mg thrice daily) achieved therapeutic concentrations.
  • The patient achieved seizure freedom after dose optimization.

Conclusions:

  • Individualized pharmacokinetic simulation is a valuable tool for optimizing ASD doses in pediatric refractory epilepsy.
  • This approach can lead to effective seizure control and improved therapeutic outcomes.
  • Tailored dosing strategies are superior to empirical adjustments for managing complex epilepsy cases.

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