4 results match your criteria: "The Netherlands. e.krekels@lacdr.leidenuniv.nl.[Affiliation]"

Article Synopsis
  • CYP450 phenotyping measures how well an individual's body processes specific probe drugs to infer activity of CYP enzymes, important for understanding drug metabolism in varying health conditions like obesity or pregnancy.
  • The study used a physiologically based pharmacokinetic approach to determine if plasma clearance of these drugs truly reflects CYP enzyme activity and how much factors like protein binding or blood flow affect this clearance.
  • Results show that while plasma clearance generally responds to changes in CYP activity, it is also significantly influenced by the unbound drug fraction, particularly for drugs that are high in protein binding, limiting the accuracy of using plasma clearance as a sole measure of CYP activity.
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Ibuprofen and indomethacin are commonly used to induce ductus arteriosus closure in preterm neonates. Our group previously reported that ibuprofen decreased vancomycin clearance by 16%. In this study, we quantified the impact of indomethacin coadministration on vancomycin clearance by extending our vancomycin population pharmacokinetic model with a data set containing vancomycin concentrations measured in preterm neonates comedicated with indomethacin.

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Kernel-Based Visual Hazard Comparison (kbVHC): a Simulation-Free Diagnostic for Parametric Repeated Time-to-Event Models.

AAPS J

November 2017

Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333, CC, Leiden, The Netherlands.

Repeated time-to-event (RTTE) models are the preferred method to characterize the repeated occurrence of clinical events. Commonly used diagnostics for parametric RTTE models require representative simulations, which may be difficult to generate in situations with dose titration or informative dropout. Here, we present a novel simulation-free diagnostic tool for parametric RTTE models; the kernel-based visual hazard comparison (kbVHC).

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Introduction: Edoxaban is a novel factor Xa inhibitor. This study characterizes the population pharmacokinetics of edoxaban in patients with non-valvular atrial fibrillation (NVAF) included in the phase III ENGAGE AF-TIMI 48 study, evaluates covariates for the dose-exposure relationship in this population, and assesses the impact of protocol-specified dose reductions on exposure using simulations.

Methods: Model development was performed using NONMEM(®) and based on sparse data from the ENGAGE AF-TIMI 48 study augmented with dense data from 13 phase I studies to inform and stabilize the model.

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