Predictive performance of two phenytoin pharmacokinetic dosing programs from nonsteady state data

The present work evaluated the performance of two computer programs: Drugcalc, which utilizes the bayesian (method 1) approach and PKS, which can utilize both the non-bayesian (method 2) and bayesian (method 3) approaches. Both programs permit the introduction of serum level data obtained in both situations: steady-state and nonsteady-state. The prediction of phenytoin concentrations (n=771) were made from steady-state (n=378) and nonsteady-state (n=175), and combined steady-state and nonsteady-state (n=218) concentrations. The observed serum concentrations (at least two nonsteady-state and two steady-state per patient) were collected under routine clinical conditions in 15 patients receiving this drug