IPPRITT, U1248, INSERM, Limoges, France.
IPPRITT, University of Limoges, Limoges, France.
Clin Pharmacokinet. 2021 Nov;60(11):1449-1462. doi: 10.1007/s40262-021-01034-w. Epub 2021 May 29.
Given a high pharmacokinetic inter-individual variability and a low exposure target achievement, ganciclovir (GCV) therapeutic drug monitoring is sometimes used in children. We aimed to develop and validate Bayesian estimators based on limited sampling strategies for the estimation of GCV area under the concentration-time curve from 0 to 24 h in pediatric transplant recipients treated with valganciclovir (VGCV) or GCV.
Solid organ transplant or stem-cell transplant recipients who received GCV or VGCV and had available GCV concentrations per standard of care were retrospectively included in this study for pharmacokinetic modeling and development of Bayesian estimators using the iterative two-stage Bayesian method. Validation datasets included additional child recipients of a solid organ transplant or stem-cell transplant, and child recipients of a kidney or liver transplant enrolled in a previous study. Various combinations of three or two sampling times, applicable in clinical practice, were assessed based on the relative mean bias, standard deviation, and the root mean square error in a development dataset and three independent validation datasets.
In the development dataset, the mean bias/standard deviation/root mean square error for the 1 h/2 h/3 h and 1 h/3 h limited sampling strategies were - 1.4%/9.3%/9.1% and - 3.5%/12.2%/12.3%, respectively for GCV, while for VGCV, the mean bias/standard deviation/root mean square error for the 1 h/2 h/6 h and 1 h/6 h limited sampling strategies were 0.7%/13.5%/13.3% and - 0.1%/12.1%/11.8%, respectively. In the independent validation datasets, seven (13%) and five (14%) children would have had misclassifications of their exposure using these Bayesian estimators and limited sampling strategies for VGCV and GCV, respectively.
Three plasma samples collected at 1 h/2 h/3 h and 1 h/2 h/6 h post-dose for GCV and VGCV respectively, are sufficient to accurately determine GCV area under the concentration-time curve from 0 to 24 h for pharmacokinetic-enhanced therapeutic drug monitoring.
鉴于个体间药代动力学的高度变异性和低暴露目标达成率,有时会对更昔洛韦(GCV)进行治疗药物监测。我们旨在开发和验证基于有限采样策略的贝叶斯估算器,以估算接受缬更昔洛韦(VGCV)或 GCV 治疗的儿科移植受者的 GCV 从 0 到 24 小时的浓度-时间曲线下面积。
本回顾性研究纳入了接受 GCV 或 VGCV 治疗且根据标准护理获得 GCV 浓度的实体器官或干细胞移植受者,用于通过迭代两阶段贝叶斯法进行药代动力学建模和贝叶斯估算器的开发。验证数据集包括额外的实体器官或干细胞移植的儿童受者,以及之前研究中肾脏或肝脏移植的儿童受者。根据开发数据集和三个独立验证数据集中的相对平均偏差、标准差和均方根误差评估了适用于临床实践的三种或两种采样时间的各种组合。
在开发数据集中,1 小时/2 小时/3 小时和 1 小时/3 小时有限采样策略的平均偏差/标准差/均方根误差分别为 GCV 的-1.4%/9.3%/9.1%和-3.5%/12.2%/12.3%,而 VGCV 的 1 小时/2 小时/6 小时和 1 小时/6 小时有限采样策略的平均偏差/标准差/均方根误差分别为 0.7%/13.5%/13.3%和-0.1%/12.1%/11.8%。在独立验证数据集中,分别有 7 名(13%)和 5 名(14%)儿童在使用这些贝叶斯估算器和 VGCV 和 GCV 的有限采样策略时,其暴露情况可能会被错误分类。
对于 GCV 和 VGCV,分别在给药后 1 小时/2 小时/3 小时和 1 小时/2 小时/6 小时采集 3 个血样,足以准确确定药代动力学增强治疗药物监测的 GCV 从 0 到 24 小时的浓度-时间曲线下面积。