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Publication: Cancer Chemotherapy and Pharmacology

Abstract

Ibrutinib carries a significant bleeding risk, but there is no established protocol for how long to withhold the drug perioperatively based on bleeding risk category. This exploratory study simulated individualized ibrutinib pharmacokinetic profiles in five patients undergoing surgery, using Bayesian estimation within a previously reported population pharmacokinetic model implemented in Phoenix NLME, to model perioperative withdrawal scenarios. No bleeding events occurred after 3-7 days of withdrawal in patients undergoing low-bleeding-risk surgery, but one patient undergoing a higher-risk procedure experienced bleeding, and concomitant isavuconazole (a CYP3A4 inhibitor) markedly increased ibrutinib exposure in one case. The findings suggest that relying on plasma concentration data alone may be insufficient to determine optimal perioperative ibrutinib withdrawal timing.

Author(s): Kimura S, Sako KI, Kikkawa N, Nakamaru Y, Matsuo S, Kusaba K, Fujita M, Kidoguchi K, Okamoto S, Yoda Y, Kimura S, Shimanoe C

Published: November 20, 2025

Phoenix NLME: Bayesian Estimation for Individual Patients

Phoenix NLME's Bayesian estimation tools simulated individualized ibrutinib profiles in this study, informing how long to withhold a bleeding-risk drug before surgery. As part of a Phoenix platform relied on by 17 global regulatory agencies, Phoenix NLME remains the engine behind population PK/PD modeling, combining the flexibility of code with the ease of a guided interface.

Learn more about Phoenix NLME