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A Simulation Study to Evaluate Limited Sampling Strategies to Estimate Area under the Curve of Drug Concentration versus Time Following Repetitive Oral Dosing: Limited Sampling Model versus Naive Trapezoidal Method

机译:评估重复采样后服药时间与时间曲线下面积的有限采样策略的模拟研究:有限采样模型与朴素梯形法

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The area under the curve (AUC) can be associated with the therapeutic or toxic effect of a drug. The limited sampling model (LSM) is an approach that is gaining popularity due to its simplicity for the estimation of AUC using 1-3 blood samples. The aim of the present simulation study was to compare the performance of LSM for various hypothetical drugs with that of the naive trapezoidal method (Trap). The 3-point (trough, peak, and downhill) sampling design following repetitive oral dosing was assumed for LSM (LSM3) and Trap (Trap3). The 2-point (trough and peak) sampling design was also assumed for LSM (LSM2) and Trap (Trap2). In addition, trough-sampling and peak-sampling designs for LSM were designated as LSM1 and LSM1', respectively. As a result, the rank order of precision of the AUC estimation designs/methods was summarized as follows: LSM3 approximate to Trap3 >= LSM2 >= Trap2 approximate to LSM1>LSM1'. The finding suggested that LSM can not always improve the estimation performance of AUC in the 3-point sampling design, and that LSM1' is insufficient to estimate the performance of AUC for the hypothetical drugs evaluated in the present study. Accordingly, LSM2 and LSM1 may be an efficient approach for estimating AUC following repetitive oral dosing. In addition, Trap3 and Trap2 may be promising alternatives, because Trap does not require a high investment to recruit a full-sampling model-development group.
机译:曲线下的面积(AUC)可以与药物的治疗或毒性作用相关。有限采样模型(LSM)由于其使用1-3个血液样本进行AUC估算的简单性而变得越来越受欢迎。本模拟研究的目的是将LSM在各种假想药物中的性能与朴素梯形方法(Trap)的性能进行比较。对于LSM(LSM3)和Trap(Trap3),假定重复口服后进行三点采样(谷值,峰值和下坡)。对于LSM(LSM2)和Trap(Trap2),还假定采用2点(谷值和峰值)采样设计。此外,用于LSM的波谷采样和峰值采样设计分别指定为LSM1和LSM1'。结果,AUC估计设计/方法的精度的等级顺序总结如下:LSM3近似于Trap3> = LSM2> = Trap2近似于LSM1> LSM1′。该发现表明LSM不能总是在三点采样设计中改善AUC的估计性能,并且LSM1'不足以估计本研究中假设的药物的AUC的性能。因此,LSM2和LSM1可能是一种有效的方法,用于评估重复口服给药后的AUC。另外,Trap3和Trap2可能是有前途的替代方案,因为Trap不需要大量投资即可招募全采样模型开发小组。

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