Frontiers in Pharmacology (Jan 2025)

Population dynamics analysis of the interaction between tacrolimus and voriconazole in renal transplant recipients

  • Zhi-Hua Sun,
  • Zhi-Hua Sun,
  • Yi-Chang Zhao,
  • Yi-Chang Zhao,
  • Yi-Chang Zhao,
  • Jia-Kai Li,
  • Jia-Kai Li,
  • Jia-Kai Li,
  • Fenghua Peng,
  • Feng Yu,
  • Bi-Kui Zhang,
  • Bi-Kui Zhang,
  • Bi-Kui Zhang,
  • Miao Yan,
  • Miao Yan,
  • Miao Yan

DOI
https://doi.org/10.3389/fphar.2024.1502097
Journal volume & issue
Vol. 15

Abstract

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BackgroundThe concurrent administration of tacrolimus and voriconazole in kidney transplant recipients can lead to drug interactions, potentially resulting in severe adverse reactions. This study aimed to establish a robust population pharmacokinetic model to explore the interaction between tacrolimus and voriconazole in greater depth.MethodsTacrolimus blood samples and laboratory data were prospectively collected from eligible patients enrolled between April 2023 and April 2024, following predefined inclusion and exclusion criteria. Using Phoenix (version 8.1), a pharmacokinetic prediction model was developed. Model performance was assessed using model fitting plots, bootstrap analysis, and visual predictive checks (VPC).ResultsThis study ultimately included 51 eligible patients, with a total of 281 blood samples collected. Analysis revealed a significant negative correlation between voriconazole concentration (Cvrc) and tacrolimus volume of clearance rate (CL), a significant positive correlation between platelets (PLT) and tacrolimus clearance (CL), and a significant negative correlation between blood cells (RBC) and tacrolimus clearance (CL).ConclusionThis study successfully established a population pharmacokinetic model for renal transplant patients concurrently receiving tacrolimus and voriconazole. The model demonstrated good predictive performance and offers valuable insights to clinicians for optimizing tacrolimus dosing in this patient population.

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