Le Guellec Chantal, Büchler Matthias, Giraudeau Bruno, Le Meur Yannick, Gakoué Jean-Emmanuel, Lebranchu Yvon, Marquet Pierre, Paintaud Gilles
Department of Pharmacology, Tours University Hospital, France.
Eur J Clin Pharmacol. 2002 Jan;57(11):805-11. doi: 10.1007/s00228-001-0389-2.
Area under the curve (AUC)-based monitoring of cyclosporin (CsA) could help to optimise therapeutic drug monitoring in certain transplant patients in addition to trough concentration monitoring. It is the method of choice for mycophenolic acid (MPA). The objective of this study was to develop a limited sampling strategy for simultaneous estimation of CsA and MPA AUCs in long-term renal transplant patients.
Twenty kidney transplant patients treated with CsA and mycophenolate mofetil were included in a pharmacokinetic study more than 6 months after transplantation. Multilinear regression analyses were performed to develop a model enabling the estimation of both drugs' AUCs using a limited number of samples. Dose-normalised data were used throughout the analysis.
Trough concentrations of MPA were poorly correlated with AUC, either used alone (r2 = 0.232) or together with other concentrations. Several models for CsA AUC estimation met the predefined criteria (r2>0.9, P<0.05). The AUC of MPA was best estimated by a three-concentration model (AUC=0.58 C20 min+ 0.97 C1 h + 6.64 C3 h + 3.48; r2 = 0.946). These sampling times also applied to CsA AUC (AUC = 1.17 C20 min + 0.68 C1 h + 5.36 C3 h + 4.24; r = 0.985). AUCs estimated using these models in our patients using the jack-knife procedure were found to be precise and unbiased as compared with reference trapezoidal AUCs.
We were able to develop a multilinear regression model for simultaneous estimation of both CsA and MPA AUCs using only three blood samples taken up to 3 h post-dosing.
基于曲线下面积(AUC)监测环孢素(CsA),除谷浓度监测外,有助于优化某些移植患者的治疗药物监测。这是监测霉酚酸(MPA)的首选方法。本研究的目的是制定一种有限采样策略,用于同时估算长期肾移植患者的CsA和MPA的AUC。
20例接受CsA和霉酚酸酯治疗的肾移植患者在移植后6个月以上纳入一项药代动力学研究。进行多线性回归分析以建立一个模型,该模型能够使用有限数量的样本估算两种药物的AUC。整个分析过程使用剂量标准化数据。
MPA的谷浓度与AUC的相关性较差,单独使用时(r2 = 0.232)或与其他浓度一起使用时均如此。几种估算CsA AUC的模型符合预定义标准(r2>0.9,P<0.05)。MPA的AUC通过三浓度模型估算效果最佳(AUC = 0.58 C20分钟 + 0.97 C1小时 + 6.64 C3小时 + 3.48;r2 = 0.946)。这些采样时间也适用于CsA AUC(AUC = 1.17 C20分钟 + 0.68 C1小时 + 5.36 C3小时 + 4.24;r = 0.985)。与参考梯形AUC相比,使用留一法在我们的患者中使用这些模型估算的AUC被发现是精确且无偏差的。
我们能够建立一个多线性回归模型,仅使用给药后3小时内采集的三份血样同时估算CsA和MPA的AUC。