Pharmacokinetics of free mycophenolic acid and limited sampling strategy for the estimation of area under the curve in liver transplant patients

被引:11
|
作者
Gu, Zhidong [2 ]
Chen, Bing [1 ]
Song, Yanyan [3 ]
Shen, Baiyong
Zhu, Zhecheng
Zhang, Weixia
Xie, Junjie
Deng, Xiaxing
Peng, Chenghong
Fan, Qishi [2 ]
Chen, Hao [1 ]
机构
[1] Shanghai Jiao Tong Univ, Ruijin Hosp, Dept Pharm, Ctr Organ Transplantat,Sch Med, Shanghai 200025, Peoples R China
[2] Shanghai Jiao Tong Univ, Ruijin Hosp, Sch Med, Dept Lab Med, Shanghai 200025, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Med, Inst Med Sci, Dept Pharmacol & Biostat, Shanghai 200025, Peoples R China
关键词
Mycophenolate Mofetil; Mycophenolic acid; Pharmacokinetics; Limited sampling strategy; Liver transplantation; MPA FREE FRACTION; RENAL-TRANSPLANT; PHARMACODYNAMIC RELATIONSHIP; CREATININE CLEARANCE; MOFETIL; RECIPIENTS; CYCLOSPORINE; MONOTHERAPY; METABOLITE; PREDICTION;
D O I
10.1016/j.ejps.2012.08.001
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Mycophenolate Mofetil (MMF) is widely used in preventing acute rejection in liver transplantation. Only free MPA (fMPA) can exert the pharmacological effect. In this study, we aimed to develop the new model which could be best fit to predict the fMPA area under the plasma concentration-time curve (AUC) by limited sampling strategy (LSS) in Chinese liver transplant patients. Fifty patients received MMF with the combination of tacrolimus. Free MPA concentrations were determined around day 7. Optimal subset regression analysis was used to establish the models for estimated fMPA AUC(0-12h). Three excellent better models were validated by Bootstrap analysis. Twenty-four models including four blood time point samplings were established. For the selected four models, 100% were successful and were not significantly different from the original dataset by Bootstrap analysis. The best model for prediction of fMPA AUC(0-12h) was by using C-1h, C-2h, C-4h, and C-6h. This model showed the minimal mean prediction error and the minimal mean absolute prediction error. In conclusion, the models for estimation of the fMPA AUC(0-12h) were established in liver transplant recipients and the best model for prediction of IMPA AUC was: estimated fMPA AUC = 34.2 + 1.12C(1h) + 1.29C(2h) + 2.28C(4h) + 3.95C(6h). (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:636 / 641
页数:6
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