Population pharmacokinetic modelling of repaglinide in healthy volunteers by using Non-Parametric Adaptive Grid Algorithm

J Clin Pharm Ther. 2010 Feb;35(1):105-12. doi: 10.1111/j.1365-2710.2009.01042.x.

Abstract

Objective: To estimate population pharmacokinetic parameters of repaglinide in 121 healthy Malaysian volunteers.

Methods: Each subject received 4 mg of oral repaglinide. Six blood samples were taken per individual (0, 30, 60, 120, 180 and 240 min) for repaglinide's serum concentration determination by using high-performance liquid chromatography. The parametric Iterative Two-Stage Bayesian Population Model (it2b) program followed by the Non-Parametric Adaptive Grid (npag) program was used to determine a population pharmacokinetic modelling of repaglinide.

Results: Using the npag program, the mean elimination rate constant (k(el)) of repaglinide was 0.58 +/- 0.27 h and the volume of distribution (V(d)) was 23.09 +/- 9.19 L/h.

Conclusion: In this first report, specifically on the population pharmacokinetic modelling of repaglinide, the data generated should help us to better understand appropriate dosage-regimens for the drug.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Algorithms*
  • Body Mass Index
  • Carbamates / blood
  • Carbamates / pharmacokinetics*
  • Female
  • Half-Life
  • Humans
  • Hypoglycemic Agents / blood
  • Hypoglycemic Agents / pharmacokinetics*
  • Male
  • Metabolic Clearance Rate
  • Middle Aged
  • Models, Biological
  • Piperidines / blood
  • Piperidines / pharmacokinetics*
  • Young Adult

Substances

  • Carbamates
  • Hypoglycemic Agents
  • Piperidines
  • repaglinide