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Population PK/PD model of tacrolimus for exploring the relationship between accumulated exposure and quantitative scores in myasthenia gravis patients.他克莫司人群 PK/PD 模型在重症肌无力患者中探索累积暴露量与定量评分关系的研究。
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Population Pharmacokinetic Modelling and Bayesian Estimation of Tacrolimus Exposure: Is this Clinically Useful for Dosage Prediction Yet?他克莫司暴露量的群体药代动力学建模与贝叶斯估计:这在剂量预测方面对临床有用吗?
Clin Pharmacokinet. 2016 Nov;55(11):1295-1335. doi: 10.1007/s40262-016-0396-1.
2
External evaluation of published population pharmacokinetic models of tacrolimus in adult renal transplant recipients.已发表的成人肾移植受者他克莫司群体药代动力学模型的外部评估。
Br J Clin Pharmacol. 2016 May;81(5):891-907. doi: 10.1111/bcp.12830. Epub 2016 Feb 26.
3
Evaluation of Approaches to Deal with Low-Frequency Nuisance Covariates in Population Pharmacokinetic Analyses.群体药代动力学分析中处理低频干扰协变量方法的评估
AAPS J. 2015 Nov;17(6):1388-94. doi: 10.1208/s12248-015-9793-x. Epub 2015 Jun 26.
4
The emerging role of tacrolimus in myasthenia gravis.他克莫司在重症肌无力中日益凸显的作用。
Ther Adv Neurol Disord. 2015 Mar;8(2):92-103. doi: 10.1177/1756285615571873.
5
Establishing best practices and guidance in population modeling: an experience with an internal population pharmacokinetic analysis guidance.建立群体建模最佳实践和指南:内部群体药代动力学分析指南的经验。
CPT Pharmacometrics Syst Pharmacol. 2013 Jul 3;2(7):e51. doi: 10.1038/psp.2013.26.
6
Calcineurin inhibitors in liver transplantation - still champions or threatened by serious competitors?肝移植中环孢素抑制剂——仍是冠军还是受到严重竞争者的威胁?
Liver Int. 2013 May;33(5):656-65. doi: 10.1111/liv.12133. Epub 2013 Feb 27.
7
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J Neurol Neurosurg Psychiatry. 2011 Sep;82(9):970-7. doi: 10.1136/jnnp-2011-300148. Epub 2011 Jul 22.
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Interpreting population pharmacokinetic-pharmacodynamic analyses - a clinical viewpoint.从临床角度解读群体药代动力学-药效学分析。
Br J Clin Pharmacol. 2011 Jun;71(6):807-14. doi: 10.1111/j.1365-2125.2010.03891.x.
9
Piraña and PCluster: a modeling environment and cluster infrastructure for NONMEM.Piraña 和 PCluster:NONMEM 的建模环境和集群基础设施。
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他克莫司在中国重症肌无力患者中的群体药代动力学分析。

Population pharmacokinetic analysis of tacrolimus in Chinese myasthenia gravis patients.

作者信息

Chen Yu-Si, Liu Zi-Qi, Chen Rong, Wang Lei, Huang Ling, Zhu Xiao, Zhou Tian-Yan, Lu Wei, Ma Ping

机构信息

School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, China.

Department of Pharmacy, General Hospital of PLA Rocket Force, Beijing 100088, China.

出版信息

Acta Pharmacol Sin. 2017 Aug;38(8):1195-1204. doi: 10.1038/aps.2016.174. Epub 2017 May 29.

DOI:10.1038/aps.2016.174
PMID:28552913
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5547552/
Abstract

The importance of tacrolimus in the treatment of myasthenia gravis (MG) as a substitute for corticosteroid-dependent immunosuppressive therapy is increasing. Thus far, however, no population pharmacokinetic (PopPK) analysis of tacrolimus in treating MG patients has been published. This article aimed to construct a PopPK model of tacrolimus for Chinese MG patients with the goal of improving its performance in MG treatment. A total of 253 trough concentration records were obtained from 83 Chinese MG patients. The effects of demographics, lifestyle and health status, biochemical test data, disease progression and treatment-related information (including co-administered medications) as covariates on the various parameters were investigated. The covariate selection was based on biological plausibility, clinical significance, statistical significance and reduction in inter-individual variability (IIV). Bootstrap and normalized prediction distribution error (NPDE) analysis were performed to validate the final model. A one-compartment PopPK model with first-order elimination and a fixed absorption phase was constructed. The estimated apparent oral clearance (CL/F) and apparent oral volume of distribution (V/F) were 3.6 L/h and 1700 L, respectively, in the MG patients. Hematocrit and blood urea nitrogen were identified as two covariates that significantly influenced the CL/F. Immunoglobulin treatment (PRO) also had the potential to influence V/F, which was consistent with the clinical observations and the high protein-binding property of tacrolimus. Other covariates including age, weight, gender and co-administered medications had no obvious influence on CL/F or V/F. The first PopPK model of tacrolimus in MG patients was established. The identified covariates were of biological plausibility and clinical importance to help individualize the dosing schedule in MG patients.

摘要

他克莫司作为皮质类固醇依赖免疫抑制治疗的替代药物在重症肌无力(MG)治疗中的重要性日益增加。然而,迄今为止,尚未发表关于他克莫司治疗MG患者的群体药代动力学(PopPK)分析。本文旨在构建中国MG患者的他克莫司PopPK模型,以提高其在MG治疗中的疗效。从83例中国MG患者中获得了253条谷浓度记录。研究了人口统计学、生活方式和健康状况、生化检测数据、疾病进展以及治疗相关信息(包括联合用药)作为协变量对各种参数的影响。协变量的选择基于生物学合理性、临床意义、统计学意义以及个体间变异性(IIV)的降低。进行了自举法和标准化预测分布误差(NPDE)分析以验证最终模型。构建了具有一级消除和固定吸收相的单室PopPK模型。MG患者中估计的表观口服清除率(CL/F)和表观口服分布容积(V/F)分别为3.6 L/h和1700 L。血细胞比容和血尿素氮被确定为显著影响CL/F的两个协变量。免疫球蛋白治疗(PRO)也有可能影响V/F,这与临床观察结果以及他克莫司的高蛋白结合特性一致。包括年龄、体重、性别和联合用药在内的其他协变量对CL/F或V/F没有明显影响。建立了首个MG患者的他克莫司PopPK模型。所确定的协变量具有生物学合理性和临床重要性,有助于个体化MG患者的给药方案。