Population-based investigation of valproic acid relative clearance using nonlinear mixed effects modeling: Influence of drug-drug interaction and patient characteristics

Eiji Yukawa, Hideto To, Shigehiro Ohdo, Shun Higuchi, Toshinobu Aoyama

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53 Citations (Scopus)

Abstract

Nonlinear mixed effects modeling (NONMEM) was used to estimate the effects of drug-drug interaction on valproic acid relative clearance values using 792 serum levels gathered from 400 pediatric and adult patients with epilepsy (age range, 0.3-54.8 years) during their clinical routine care. Patients received valproic acid as monopharmacy or in combination with either the antiepileptic drugs, phenobarbital, or carbamazepine. The final model describing valproic acid relative clearance was CL (mL/hr/kg) = 15.6 · TBW (kg-0.252 · DOSE (mg/kg/day)0.183 · 0.898(GEN) · CO(PB) · CO(CBZ), where CO(PB) equals 1.10 if the patient is treated with phenobarbital, a value of unity otherwise, and CO(CBZ) equals 0.769 · DOSE (mg/kg/day)0.179 if the patient is treated with carbamazepine, a value of unity otherwise. Valproic acid relative clearance was highest in the very young and decreased in a weight-related fashion in children, with minimal changes observed in adults. This pattern was consistent whether valproic acid was administered alone or coadministered with phenobarbital or carbamazepine. When valproic acid was coadministered with phenobarbital or carbamazepine, valproic acid relative clearance increased as compared with that in monopharmacy. Its magnitude in the presence of carbamazepine increased in a valproic acid daily dose-related fashion. Concomitant administration of phenobarbital and valproic acid resulted in a 10% increase on valproic acid relative clearance. The clearance in female patients was approximately 10% less than that in male patients.

Original languageEnglish
Pages (from-to)1160-1167
Number of pages8
JournalJournal of Clinical Pharmacology
Volume37
Issue number12
DOIs
Publication statusPublished - Jan 1 1997
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Pharmacology
  • Pharmacology (medical)

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