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ORIGINAL RESEARCH article

Front. Pharmacol.
Sec. Renal Pharmacology
Volume 15 - 2024 | doi: 10.3389/fphar.2024.1502097

Population Dynamics Analysis of the Interaction Between Tacrolimus and Voriconazole in Renal Transplant Recipients

Provisionally accepted
Miao Yan Miao Yan 1*Zhi-Hua Sun Zhi-Hua Sun 2Yichang Zhao Yichang Zhao 1Jia-Kai Li Jia-Kai Li 1Fenghua Peng Fenghua Peng 1Feng Yu Feng Yu 2Bi-kui ZHANG Bi-kui ZHANG 1
  • 1 Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, China
  • 2 China Pharmaceutical University, Nanjing, Jiangsu Province, China

The final, formatted version of the article will be published soon.

    The 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.: Tacrolimus 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).Results: This 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).This 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.

    Keywords: Tacrolimus, population pharmacokinetics, Voriconazole, Renal transplantation, predictive model

    Received: 26 Sep 2024; Accepted: 30 Dec 2024.

    Copyright: © 2024 Yan, Sun, Zhao, Li, Peng, Yu and ZHANG. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Miao Yan, Department of Pharmacy, Second Xiangya Hospital, Central South University, Changsha, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.