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Individual and population pharmacokinetic compartment analysis: a graphic procedure for quantification of predictive performance

机译:个体和群体药代动力学区室分析:用于量化预测性能的图形程序

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摘要

Objectives Pharmacokinetic studies are important for optimizing of drug dosing, but requires proper validation of the used pharmacokinetic procedures. However, simple and reliable statistical methods suitable for evaluation of the predictive performance of pharmacokinetic analysis are essentially lacking. The aim of the present study was to construct and evaluate a graphic procedure for quantification of predictive performance of individual and population pharmacokinetic compartment analysis. Methods Original data from previously published pharmacokinetic compartment analyses after intravenous, oral, and epidural administration, and digitized data, obtained from published scatter plots of observed vs predicted drug concentrations from population pharmacokinetic studies using the NPEM algorithm and NONMEM computer program and Bayesian forecasting procedures, were used for estimating the predictive performance according to the proposed graphical method and by the method of Sheiner and Beal. Results The graphical plot proposed in the present paper proved to be a useful tool for evaluation of predictive performance of both individual and population compartment pharmacokinetic analysis. Conclusion The proposed method is simple to use and gives valuable information concerning time- and concentration-dependent inaccuracies that might occur in individual and population pharmacokinetic compartment analysis. Predictive performance can be quantified by the fraction of concentration ratios within arbitrarily specified ranges, e.g. within the range 0.8–1.2.
机译:目的药代动力学研究对于优化药物剂量非常重要,但需要对使用的药代动力学程序进行适当验证。但是,基本上缺乏适用于评估药代动力学分析的预测性能的简单可靠的统计方法。本研究的目的是构建和评估用于量化个体和人群药代动力学区隔分析的预测性能的图形程序。方法先前公布的静脉,口服和硬膜外给药后药代动力学区室分析的原始数据,以及数字化数据,这些数据是使用NPEM算法和NONMEM计算机程序以及贝叶斯预测程序从人群药代动力学研究中观察到的药物浓度与预测药物浓度的散点图获得的,分别根据拟议的图形方法和Sheiner和Beal的方法来估计预测性能。结果本文提出的图形化图表被证明是评估个人和人群药代动力学分析预测性能的有用工具。结论所提出的方法易于使用,并提供了有关个体和群体药代动力学区室分析中可能出现的时间和浓度依赖性误差的有价值的信息。预测性能可以通过浓度比在任意指定范围内的分数来量化,例如在0.8-1.2的范围内。

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