首页> 外文期刊>Clinical pharmacokinetics >Patient characteristics influencing ciclosporin pharmacokinetics and accurate Bayesian estimation of ciclosporin exposure in heart, lung and kidney transplant patients.
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Patient characteristics influencing ciclosporin pharmacokinetics and accurate Bayesian estimation of ciclosporin exposure in heart, lung and kidney transplant patients.

机译:影响环孢素药代动力学的患者特征以及在心脏,肺和肾脏移植患者中环孢素暴露的准确贝叶斯估计。

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BACKGROUND AND OBJECTIVES: Population pharmacokinetic studies of ciclosporin microemulsion are needed to identify the individual factors influencing ciclosporin pharmacokinetic variability in transplant patients and to design efficient tools for the accurate estimation of ciclosporin overall exposure (area under the plasma concentration-time curve from 0 to 12 hours [AUC12]). In the present retrospective study, a large database of heart, lung (with or without cystic fibrosis) and kidney (both adult and paediatric) transplant patients receiving ciclosporin microemulsion was analysed with the aims of (i) building a population pharmacokinetic model and finding the main covariates linked with ciclosporin microemulsion pharmacokinetic parameters; and (ii) developing a maximum a posteriori probability Bayesian estimator (MAP-BE) to estimate ciclosporin microemulsion pharmacokinetic parameters using a limited-sampling strategy. METHODS: 3,072 concentration data from 147 patients (i.e. 309 full pharmacokineticprofiles) were analysed using the nonlinear mixed-effects model program NONMEM. The influence of numerous covariates was tested, and the final model was validated by data splitting. For Bayesian estimation, the best limited-sampling strategy was determined based on the D-optimality criterion, and validation performed in an independent group of 60 patients. RESULTS: The pharmacokinetics of ciclosporin microemulsion were accurately described by a two-compartment model with Erlang distribution for the absorption process. The type of graft and post-transplantation period were identified as significant sources of variability of the absorption parameter. Both apparent volume of the central compartment after oral administration (V1/F) and apparent oral clearance (CL/F) increased with bodyweight. The best limited-sampling strategy for Bayesian estimation was 0 hour, 1 hour and 3 hour post-dose, providing accurate estimation of ciclosporin microemulsion AUC12 in all patients of the test group, with a mean bias of 2.0 +/- 10.5% (range: -19.1% to -21.4% and 95% CI -0.6, +4.7). CONCLUSION: Population pharmacokinetic analysis of ciclosporin microemulsion in allograft transplants resulted in the design of a new pharmacokinetic model for ciclosporin microemulsion, identification of significant covariates and the design of an accurate MAP-BE based on three blood concentrations and these covariates.
机译:背景和目的:需要进行环孢菌素微乳剂的群体药代动力学研究,以确定影响移植患者环孢菌素药代动力学变异性的各个因素,并设计有效的工具来准确估算环孢菌素的总体暴露量(血浆浓度-时间曲线下从0到12的面积)小时[AUC12])。在本回顾性研究中,分析了接受环孢素微乳剂治疗的心脏,肺(有或没有囊性纤维化)和肾(成年和儿科)移植患者的大型数据库,目的是(i)建立群体药代动力学模型并寻找与环孢菌素微乳药代动力学参数相关的主要协变量; (ii)开发最大后验概率贝叶斯估计器(MAP-BE),以使用有限采样策略估计环孢菌素微乳的药代动力学参数。方法:使用非线性混合效应模型程序NONMEM分析了147位患者的3,072份浓度数据(即309个完整的药代动力学特征)。测试了许多协变量的影响,并通过数据拆分验证了最终模型。对于贝叶斯估计,基于D优化准则确定最佳的有限采样策略,并在60名患者的独立组中进行验证。结果:采用具有Erlang分布的两室模型,准确地描述了环孢素微乳剂的吸收动力学。移植类型和移植后时期被确定为吸收参数变异性的重要来源。口服后中央隔室的表观体积(V1 / F)和表观口腔清除率(CL / F)均随体重而增加。贝叶斯估计的最佳有限抽样策略是给药后0小时,1小时和3小时,可准确估计测试组所有患者的环孢素微乳AUC12,平均偏差为2.0 +/- 10.5%(范围:-19.1%至-21.4%和95%CI -0.6,+ 4.7)。结论:环孢素微乳剂在同种异体移植中的群体药代动力学分析导致​​了新的环孢素微乳剂药代动力学模型的设计,重要协变量的确定以及基于三个血药浓度和这些协变量的精确MAP-BE的设计。

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