Predictive engines based on pharmacokinetics modelling for tacrolimus personalized dosage in paediatric renal transplant patients.

ABSTRACT: The development of predictive engines based on pharmacokinetic-physiological mathematical models for personalised dosage recommendations is an immature field. Nevertheless, these models are extensively applied during the design of new drugs. This study presents new advances in this subject, through a stable population of patients who underwent kidney transplantation and were prescribed tacrolimus. We developed 2 new population pharmacokinetic models based on a compartmental approach, with one following the physiologically based pharmacokinetic approach and both including circadian modulation of absorption and clearance variables. One of the major findings was an improved predictive capability for both models thanks to the consideration of circadian rhythms, both in estimating the populatio

SUBMITTER: Prado-Velasco M 

PROVIDER: S-EPMC7200804 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature