A nonlinear mixed-effects pharmacokinetic model comparing two formulations of cyclosporine in stable renal transplant patients.

A nonlinear mixed-effects model simultaneously modeled two pharmacokinetic (PK) variables in patients administered cyclosporine twice daily: (i) concentration of drug in blood at the end of the 12-hr dosing interval (C12) and (ii) area under the concentration-time curve within the dosing interval (AUC). For two formulations (Neoral and Sandimmune), the model assessed the following: nonlinearity with respect to dose, interoccasion (intraindividual) variability, interindividual variability, and within- and across-individual correlation between C12 and AUC. Data were pooled from six clinical studies in stable renal transplant patients administered each formulation. PK samples on two occasions were taken usually for each formulation. Each individual's random effect was eight-dimensional consisting of two PK variables for each formulation on two occasions. An ANOVA-like partitioning worked well and reduced the variance matrix for the random effect to a known function of 13 parameters to be estimated, thereby making a numerically intensive computation feasible. Simulations were used to check the model fit, to compute standard errors, and to account for peculiarities in the residual analysis. Outcomes of tests comparing formulations, most of which were statistically significant, favored Neoral (dose proportional, lower interoccasion variability, lower interindividual variability, and higher correlation between C12 and AUC).