Purpose <p>This study aimed to establish a population pharmacokinetic model and optimise tacrolimus dosing regimens in Chinese lung transplant recipients.</p> Methods <p>A total of 988 tacrolimus trough concentrations and clinical data of 142 adult lung transplant recipients were collected. Population pharmacokinetic analysis was performed using a nonlinear mixed effects model. A Monte Carlo simulation was conducted to determine the optimal dosing regimen.</p> Results <p>The pharmacokinetics of tacrolimus could be best described by a one-compartment model with first-order absorption and elimination. The typical population parameter estimates of apparent clearance and apparent volume of distribution were 7.58 L·h<sup>−1</sup> and 701.39 L, respectively. The clearance of tacrolimus in rapid and intermediate metabolisers of CYP3A5 was 2.72-fold and 1.87-fold higher, respectively, than in poor metabolisers of CYP3A5. The concurrent use of voriconazole, posaconazole, and itraconazole led to a reduction in tacrolimus clearance by 38.21%, 26.30%, and 57.98%, respectively. Recommended dose regimens were obtained by Monte Carlo simulation based on the established model.</p> Conclusion <p>Recipients with the CYP3A5*3/*3 genotype, elevated haematocrit levels, short postoperative days, and concurrent administration of azole antifungal drugs needed a reduced maintenance dose to reach the therapeutic window, which provided a reference for the formulation of individualised tacrolimus regimen during the early post-transplantation phase.</p>

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Population pharmacokinetic characteristics of tacrolimus in Chinese lung transplant recipients and optimisation of dosing regimen during the early post-transplantation phase

  • Shouning Zhou,
  • Qiaoyan Lian,
  • Huilong Luo,
  • Hui Xie,
  • Yanping Guan,
  • Jianxing He,
  • Li Wei,
  • Chunrong Ju

摘要

Purpose

This study aimed to establish a population pharmacokinetic model and optimise tacrolimus dosing regimens in Chinese lung transplant recipients.

Methods

A total of 988 tacrolimus trough concentrations and clinical data of 142 adult lung transplant recipients were collected. Population pharmacokinetic analysis was performed using a nonlinear mixed effects model. A Monte Carlo simulation was conducted to determine the optimal dosing regimen.

Results

The pharmacokinetics of tacrolimus could be best described by a one-compartment model with first-order absorption and elimination. The typical population parameter estimates of apparent clearance and apparent volume of distribution were 7.58 L·h−1 and 701.39 L, respectively. The clearance of tacrolimus in rapid and intermediate metabolisers of CYP3A5 was 2.72-fold and 1.87-fold higher, respectively, than in poor metabolisers of CYP3A5. The concurrent use of voriconazole, posaconazole, and itraconazole led to a reduction in tacrolimus clearance by 38.21%, 26.30%, and 57.98%, respectively. Recommended dose regimens were obtained by Monte Carlo simulation based on the established model.

Conclusion

Recipients with the CYP3A5*3/*3 genotype, elevated haematocrit levels, short postoperative days, and concurrent administration of azole antifungal drugs needed a reduced maintenance dose to reach the therapeutic window, which provided a reference for the formulation of individualised tacrolimus regimen during the early post-transplantation phase.