A Population Pharmacokinetic Model and Dosing Algorithm to Guide the Tacrolimus Starting and Follow-Up Dose in Living and Deceased Donor Kidney Transplant Recipients.

IF 4.6 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Marith I Francke, Sebastiaan D T Sassen, Nuria Lloberas, Helena Colom, Laure Elens, Serge Moudio, Aiko P J de Vries, Dirk Jan A R Moes, Ron H N van Schaik, Dennis A Hesselink, Brenda C M de Winter
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Abstract

Introduction: Tacrolimus treatment is complicated by its narrow therapeutic range and large inter- and intra-patient variability. This study aimed to develop a population pharmacokinetic model and dosing algorithm to predict an individual's dose requirement following living and deceased donor kidney transplantation.

Methods: In this international, multicenter, retrospective study, data was collected from patients who had received a living or a deceased donor kidney and received tacrolimus twice daily. A population pharmacokinetic model was developed using nonlinear mixed-effects modeling (NONMEM).

Results: This study included 13,427 tacrolimus concentrations from 1180 kidney transplant recipients. A two-compartment model with first-order absorption best described the data. The mean absorption rate was 6.59/h, apparent clearance 20.7 L/h, central volume of distribution 705 L, and peripheral volume of distribution 7670 L. Higher age, creatinine, and hematocrit, as well as lower height, were associated with lower tacrolimus clearance. Tacrolimus clearance was higher for cytochrome P450 (CYP) 3A5*1 carriers compared with CYP3A5*3/*3 individuals, and lower for CYP3A4*22 carriers compared with CYP3A4*1/*1 patients. Together, these covariates explained 19.3% of the inter-individual variability in clearance. From the full model, a starting dose algorithm was developed with age, height, and the CYP3A4 and CYP3A5 genotypes as covariates. Both the full model and the starting dose algorithm were successfully internally validated.

Conclusions: In this international, multicenter study, age, CYP3A4 and CYP3A5 genotype, creatinine, height, and hematocrit were identified as significant covariates associated with tacrolimus pharmacokinetics, and can be used to predict the optimal individual's dose requirement for both living and deceased donor kidney transplant recipients.

指导活体和已故肾移植受者他克莫司起始和随访剂量的群体药代动力学模型和给药算法。
他克莫司治疗的复杂性在于其狭窄的治疗范围和较大的患者间和患者内部变异性。本研究旨在建立一个人群药代动力学模型和给药算法,以预测活体和已故供体肾移植后个体的剂量需求。方法:在这项国际、多中心、回顾性研究中,收集了接受活体或已故供体肾脏并每天两次接受他克莫司治疗的患者的数据。采用非线性混合效应模型(NONMEM)建立种群药代动力学模型。结果:本研究纳入了1180名肾移植受者的13427份他克莫司浓度。一阶吸收的两室模型最好地描述了数据。平均吸收率为6.59/h,表观清除率为20.7 L/h,中心分布容积为705 L,周围分布容积为7670 L,年龄、肌酐、红细胞压积、身高越低,他克莫司清除率越低。细胞色素P450 (CYP) 3A5*1携带者的他克莫司清除率高于CYP3A5*3/*3个体,CYP3A4*22携带者的他克莫司清除率低于CYP3A4*1/*1患者。总的来说,这些协变量解释了19.3%的清除率的个体间变异性。从完整的模型中,以年龄、身高和CYP3A4和CYP3A5基因型为协变量,开发了一个起始剂量算法。完整模型和起始剂量算法都成功地进行了内部验证。结论:在这项国际、多中心的研究中,年龄、CYP3A4和CYP3A5基因型、肌酐、身高和红细胞压积被确定为与他克莫司药代动力学相关的重要协变量,可用于预测活体和已故供体肾移植受者的最佳个体剂量需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.80
自引率
4.40%
发文量
86
审稿时长
6-12 weeks
期刊介绍: Clinical Pharmacokinetics promotes the continuing development of clinical pharmacokinetics and pharmacodynamics for the improvement of drug therapy, and for furthering postgraduate education in clinical pharmacology and therapeutics. Pharmacokinetics, the study of drug disposition in the body, is an integral part of drug development and rational use. Knowledge and application of pharmacokinetic principles leads to accelerated drug development, cost effective drug use and a reduced frequency of adverse effects and drug interactions.
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