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Performance of Bayesian feedback in estimating individual pharmacokinetics: an evaluation with trimethoprim in a rabbit model.

The performance of Bayesian feedback in estimating individual blood level, AUC∞ and body clearance was evaluated with antimicrobial trimethoprim in a rabbit model using data obtained from intravenous administration of 15.3 ml/kg dose in nine male rabbits. The estimated equation parameters for a two-compartment body model by the method using one feedback of blood level showed considerable or large deviation from the individual fitting values. However, good estimation for forecasting blood levels, AUC∞ and body clearance were resulted. Since clearance is an essential pharmacokinetic parameter to describe drug elimination in vivo, the optimization of dosage regimens can be easily determined by using the relationship of dose, dosing interval, blood level and clearance at steady-state. Since the Bayesian feedback method is dependent on some assumptions such as normal or log-normal distribution of residual error and knowledge of the prior distriperformance and prediction interval of the method should be evaluated before applying the method to a new drug.