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采用群体建模和模拟技术的恩华特在初治肾移植患者中的治疗药物监测策略。

Therapeutic Drug Monitoring Strategies for Envarsus in De Novo Kidney Transplant Patients Using Population Modelling and Simulations.

机构信息

Calvagone, Liergues, France.

Global Clinical Development, Chiesi Farmaceutici S.p.A., Parma, Italy.

出版信息

Adv Ther. 2021 Oct;38(10):5317-5332. doi: 10.1007/s12325-021-01905-5. Epub 2021 Sep 12.

Abstract

INTRODUCTION

Tacrolimus, the cornerstone of transplantation immunosuppression, is a narrow therapeutic index drug with a low and highly variable bioavailability. Therapeutic drug monitoring based on trough level assessment is mandatory in order to target a personalised exposure and avoid both rejection and toxicity. Population pharmacokinetic (POPPK) models might be a useful tool for improving early attainment of target range by guiding initial doses until steady state is reached and trough levels can be reliably used as surrogate marker of exposure. Here we present the first POPPK for predicting the initial doses of the once-daily prolonged release tacrolimus Envarsus (LCPT) in adult kidney recipients.

METHODS

The model was developed exploiting the data from a recent pharmacokinetic randomised clinical study, in which 69 de novo kidney recipients, 33 of whom treated with LCPT, underwent an intensive blood sampling strategy for tacrolimus including four complete pharmacokinetic profiles.

RESULTS

The complex and prolonged absorption of LCPT is well described by the three-phase model that incorporates body weight and CYP3A5 genotype as significant covariates accounting for a great proportion of the inter-patient variability: in particular, CYP3A5*1/*3 expressors had a 66% higher LCPT clearance. We have then generated by simulation a personalised dosing strategy based on the model that could improve the early attainment of therapeutic trough levels by almost doubling the proportion of patients within target range (69.3% compared to 36.1% with the standard body weight-based approach) on post-transplantation day 4 and significantly reduce the proportion of overexposed patients at risk of toxicity.

CONCLUSIONS

A POPPK model was successfully developed for LCPT in de novo kidney recipients. The model could guide a personalised dosing strategy early after transplantation. For the model to be translated into clinical practice, its beneficial impact of earlier attainment of therapeutic trough levels should be demonstrated on hard clinical outcomes in further studies.

摘要

简介

他克莫司是移植免疫抑制的基石,是一种治疗指数较窄、生物利用度低且高度可变的药物。为了达到个体化暴露水平,避免排斥反应和毒性,必须基于谷浓度评估进行治疗药物监测。群体药代动力学(POPPK)模型可能是一种有用的工具,可以通过指导初始剂量,直到达到稳态并可靠地将谷浓度用作暴露的替代标志物,从而提高早期达到目标范围的能力。本文首次介绍了预测成人肾移植受者他克莫司(LCPT)的每日一次延长释放制剂初始剂量的 POPPK。

方法

该模型是利用最近一项药代动力学随机临床试验的数据开发的,其中 69 例新诊断的肾移植受者接受了密集的血样采集策略,包括 4 个完整的药代动力学曲线。

结果

LCPT 的复杂和延长吸收很好地被三阶段模型描述,该模型纳入了体重和 CYP3A5 基因型作为重要的协变量,解释了患者间变异性的很大一部分:特别是,CYP3A5*1/*3 表达者的 LCPT 清除率高 66%。然后,我们通过模拟生成了一种基于模型的个体化给药策略,该策略可将目标范围内的患者比例提高近一倍(与标准体重为基础的方法相比,在移植后第 4 天为 69.3%,而 36.1%),从而更早地达到治疗谷浓度,显著减少有中毒风险的过度暴露患者比例。

结论

成功地为新诊断的肾移植受者开发了 LCPT 的 POPPK 模型。该模型可以在移植后早期指导个体化给药策略。为了将该模型转化为临床实践,需要在进一步的研究中证明其对更早达到治疗谷浓度的有利影响对硬临床结局的影响。

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