Optimal sampling strategies for darunavir and external validation of the underlying population pharmacokinetic model.

ABSTRACT:

Purpose

A variety of diagnostic methods are available to validate the performance of population pharmacokinetic models. Internal validation, which applies these methods to the model building dataset and to additional data generated through Monte Carlo simulations, is often sufficient, but external validation, which requires a new dataset, is considered a more rigorous approach, especially if the model is to be used for predictive purposes. Our first objective was to validate a previously published population pharmacokinetic model of darunavir, an HIV protease inhibitor boosted with ritonavir or cobicistat. Our second objective was to use this model to derive optimal sampling strategies that maximize the amount of information collected with as few pharmacokinetic samples as possible

SUBMITTER: Stillemans G 

PROVIDER: S-EPMC7935830 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature