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首页> 外文期刊>Journal of pharmacokinetics and biopharmaceutics >Construction of an optimal destructive sampling design for noncompartmental AUC estimation.
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Construction of an optimal destructive sampling design for noncompartmental AUC estimation.

机译：非隔室AUC估计的最佳破坏性抽样设计的构建。

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摘要

Based on toxicokinetic studies of a destructive sampling design, this work was aimed at selecting the number of time points, their locations, and the number of replicates per time point in order to obtain the most accurate and precise noncompartmental estimate of the area under the concentration-time curve (AUC). From a prior population pharmacokinetic model, the design is selected to minimize the scaled mean squared error of AUC. Designs are found for various sample sizes, number of time points, and a distribution of animals across time points from being very unbalanced to balanced. Their efficiencies are compared both theoretically and based on simulations. An algorithm has been implemented for this purpose using the symbolic resolution and numerical minimization capabilities of Mathematica and an example of its use is provided. This method provides efficient tools for constructing, validating, and comparing optimal sampling designs for destructive sampled toxicokinetic studies.
机译：基于对破坏性采样设计的毒物动力学研究，这项工作旨在选择时间点的数量，其位置以及每个时间点的重复次数，以便获得浓度下该区域的最准确，最精确的非区室估计时间曲线（AUC）。从现有的群体药代动力学模型中，选择设计以最小化AUC的比例均方误差。发现了针对各种样本大小，时间点数以及动物从非常不平衡到平衡的时间点分布的设计。理论上和基于仿真都比较了它们的效率。为此，已经使用Mathematica的符号分辨率和数值最小化功能实现了一种算法，并提供了其使用示例。该方法为构建，验证和比较用于破坏性采样毒代动力学研究的最佳采样设计提供了有效的工具。

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