Okada Akira, Ushigome Hidetaka, Kanamori Misaki, Morikochi Aya, Kasai Hidefumi, Kosaka Tadashi, Kokuhu Takatoshi, Nishimura Asako, Shibata Nobuhito, Fukushima Keizo, Yoshimura Norio, Sugioka Nobuyuki
Department of Clinical Pharmacokinetics, Faculty of Pharmaceutical Sciences, Kobe Gakuin University, 1-1-3 Minatojima, Chuo-ku, Kobe, 650-8586, Japan.
Department of Transplantation and Regenerative Surgery, Kyoto Prefectural University of Medicine, 465 Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Eur J Clin Pharmacol. 2017 Sep;73(9):1111-1119. doi: 10.1007/s00228-017-2279-2. Epub 2017 Jun 15.
Cyclosporine A (CyA), a potent immunosuppressive agent used in renal transplantation, has a narrow therapeutic window and a large variability in blood concentrations. This study aimed to develop a population pharmacokinetic (PPK) model of CyA in living-donor renal transplant patients at a single center and identify factors influencing CyA pharmacokinetics (PK).
A total of 660 points (preoperative) and 4785 points (postoperative) of blood concentration data from 98 patients who underwent renal transplantation were used. Pre- and postoperative CyA model structure and PPK parameters were separately estimated with a non-linear mixed-effect model, and subsequently, covariate analysis of postoperative data were comprehensively estimated, including preoperative PK parameters.
A two-compartment model with first-order absorption and absorption lag time was selected in this study. Aspartate aminotransferase, body surface area (BSA), pretransplant area under the whole blood concentration-time curve/dose, and postoperative days were identified as the covariates on oral clearance. BSA was selected as a covariate of the distribution volume of the central compartment. In addition, diabetes mellitus was selected as a covariate of the first-order absorption rate.
This PPK study used the largest number of blood concentration data among previous reports of living-donor renal transplant patients. Moreover, all patients received the same immunosuppressive regimen in a single center. Therefore, the validity of the selected covariates is reliable with high precision. The developed PPK model and selected covariates provide useful information about factors influencing CyA PK and greatly contributes to the identification of the most suitable dosing regimen for CyA.
环孢素A(CyA)是一种用于肾移植的强效免疫抑制剂,其治疗窗狭窄,血药浓度个体差异大。本研究旨在建立单中心活体供肾肾移植患者CyA的群体药代动力学(PPK)模型,并确定影响CyA药代动力学(PK)的因素。
使用了98例接受肾移植患者的660个(术前)和4785个(术后)血药浓度数据点。术前和术后CyA模型结构及PPK参数分别用非线性混合效应模型进行估计,随后对术后数据进行协变量分析,包括术前PK参数。
本研究选择了具有一级吸收和吸收滞后时间的二室模型。天冬氨酸转氨酶、体表面积(BSA)、移植前全血浓度-时间曲线下面积/剂量以及术后天数被确定为口服清除率的协变量。BSA被选为中央室分布容积的协变量。此外,糖尿病被选为一级吸收率的协变量。
本PPK研究在以往活体供肾肾移植患者报告中使用了最多的血药浓度数据。而且,所有患者在单中心接受相同的免疫抑制方案。因此,所选协变量的有效性可靠且精度高。所建立的PPK模型和所选协变量提供了关于影响CyA PK因素的有用信息,并极大地有助于确定CyA最合适的给药方案。