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基于模型的儿童肾移植患者麦考酚酸剂量优化。

Model-informed dose optimization of mycophenolic acid in pediatric kidney transplant patients.

机构信息

Department of Pharmacy, Radboud Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands.

Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, The Netherlands.

出版信息

Eur J Clin Pharmacol. 2024 Nov;80(11):1761-1771. doi: 10.1007/s00228-024-03743-0. Epub 2024 Aug 17.

Abstract

PURPOSE

We aimed to develop and evaluate a population PK model of mycophenolic acid (MPA) in pediatric kidney transplant patients to aid MPA dose optimization.

METHODS

Data were collected from pediatric kidney transplant recipients from a Dutch academic hospital (Radboudumc, the Netherlands). Pharmacokinetic model-building and model-validation analyses were performed using NONMEM. Subsequently, we externally evaluated the final model using data from another academic hospital. The final model was used to develop an optimized dosing regimen.

RESULTS

Thirty pediatric patients were included of whom 266 measured MPA plasma concentrations, including 20 full pharmacokinetic (PK) curves and 24 limited sampling curves, were available. A two-compartment model with a transition compartment for Erlang-type absorption best described the data. The final population PK parameter estimates were K (1.48 h; 95% CI, 1.15-1.84), CL/F (16.0 L h; 95% CI, 10.3-20.4), V/F (24.9 L; 95% CI, 93.0-6.71E25), V/F (1590 L; 95% CI, 651-2994), and Q/F (36.2 L h; 95% CI, 9.63-74.7). The performance of the PK model in the external population was adequate. An optimized initial dose scheme based on bodyweight was developed. With the licensed initial dose, 35% of patients were predicted to achieve the target AUC, compared to 42% using the optimized scheme.

CONCLUSION

We have successfully developed a pharmacokinetic model for MPA in pediatric renal transplant patients. The optimized dosing regimen is expected to result in better target attainment early in treatment. It can be used in combination with model-informed follow-up dosing to further individualize the dose when PK samples become available.

摘要

目的

我们旨在开发和评估儿童肾移植患者麦考酚酸(MPA)的群体药代动力学模型,以辅助 MPA 剂量优化。

方法

数据来自荷兰一家学术医院(荷兰拉德堡德大学医学中心)的儿科肾移植受者。使用 NONMEM 进行药代动力学模型构建和模型验证分析。随后,我们使用另一家学术医院的数据对外评估最终模型。使用最终模型开发优化的给药方案。

结果

共纳入 30 例儿科患者,其中 266 例可获得 MPA 血浆浓度的测量值,包括 20 个完整的药代动力学(PK)曲线和 24 个有限采样曲线。具有 Erlang 型吸收转换室的两室模型能最好地描述数据。最终的群体 PK 参数估计值为 K(1.48 h;95%CI,1.15-1.84)、CL/F(16.0 L h;95%CI,10.3-20.4)、V/F(24.9 L;95%CI,93.0-6.71E25)、V/F(1590 L;95%CI,651-2994)和 Q/F(36.2 L h;95%CI,9.63-74.7)。该 PK 模型在外部群体中的表现良好。开发了一种基于体重的初始剂量优化方案。与使用许可的初始剂量相比,使用优化方案,预计 42%的患者将达到目标 AUC,而 35%的患者达到目标 AUC。

结论

我们已成功开发出一种儿童肾移植患者 MPA 的药代动力学模型。优化的给药方案有望在治疗早期实现更好的目标达标率。当获得 PK 样本时,可以与模型指导的后续给药相结合,进一步实现个体化剂量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ace/11458656/7fa3fddef822/228_2024_3743_Fig1_HTML.jpg

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