Bioequivalence: individual and population compartmental modeling compared to the noncompartmental approach

• Published in: Pharmaceutical research Vol. 13; no. 7; p. 1116
• Main Authors: Pentikis, H S, Henderson, J D, Tran, N L, Ludden, T M
• Format: Journal Article
• Language: English
• Published: United States 01.07.1996
• Subjects: Chlorthalidone - pharmacokinetics; Cross-Over Studies; Data Interpretation, Statistical; Humans; Models, Statistical; Therapeutic Equivalency
• ISSN: 0724-8741; 1573-904X
• DOI: 10.1023/A:1016083429903

The purpose of this study were to evaluate the use of individual compartmental and population compartmental methods for bioequivalence determination, and to determine their utility as adjuncts to the current methods used for bioequivalence assessment. Data from three bioequivalence studies of chlorthalidone were analyzed with PCNONLIN using individual compartmental modeling and NONMEM for population analyses. These results were compared with results obtained from the traditional noncompartmental or SHAM (slopes, heights, areas, and moments) approach for bioequivalence assessment and the 90% confidence interval procedure. Individual compartmental modeling and population compartmental modeling techniques performed well on this routine set of bioequivalence data which displayed simple pharmacokinetic properties. A direct assessment of the analysis methods was made by comparing the final estimates and 90% confidence intervals for the test to reference ratios (T/R) of AUC and CMAX. The final estimates and 90% confidence intervals for AUC T/R and CMAX T/R were similar and suggest consistency of results, independent of the method used. These results demonstrate the utility of modeling techniques as adjuncts to the traditional noncompartmental approach for bioequivalence determination.