Kano Eunice Kazue, Chiann Chang, Fukuda Kazuo, Porta Valentina
Faculty of Pharmaceutical Sciences, University of São Paulo, São Paulo, SP, Brazil.
Mathematics and Statistics Institute, University of São Paulo, São Paulo, SP, Brazil.
Drug Res (Stuttg). 2017 Aug;67(8):451-457. doi: 10.1055/s-0043-105797. Epub 2017 May 23.
Bioavailability and bioequivalence study is one of the most frequently performed investigations in clinical trials. Bioequivalence testing is based on the assumption that 2 drug products will be therapeutically equivalent when they are equivalent in the rate and extent to which the active drug ingredient or therapeutic moiety is absorbed and becomes available at the site of drug action. In recent years there has been a significant growth in published papers that use studies based on mathematical simulations to analyze pharmacokinetic and pharmacodynamic properties of drugs, including bioavailability and bioequivalence aspects. The goal of this study is to evaluate the usefulness of studies as a tool in the planning of bioequivalence, bioavailability and other pharmacokinetic assays, e.g., to determine an appropriate sampling schedule. Monte Carlo simulations were used to define adequate blood sampling schedules for a bioequivalence assay comparing 2 different formulations of cefadroxil oral suspensions. bioequivalence studies comparing different formulation of cefadroxil oral suspensions using various sampling schedules were performed using models. An in vivo study was conducted to confirm results. The results of and in vivo bioequivalence studies demonstrated that schedules with fewer sampling times are as efficient as schedules with larger numbers of sampling times in the assessment of bioequivalence, but only if T is included as a sampling time. It was also concluded that studies are useful tools in the planning of bioequivalence, bioavailability and other pharmacokinetic in vivo assays.