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关于药代动力学模型的一些随机公式及相关统计矩

On some stochastic formulations and related statistical moments of pharmacokinetic models.

作者信息

Matis J H, Wehrly T E, Metzler C M

出版信息

J Pharmacokinet Biopharm. 1983 Feb;11(1):77-92. doi: 10.1007/BF01061769.

Abstract

This paper presents the deterministic and stochastic model for a linear compartment system with constant coefficients, and it develops expressions for the mean residence times (MRT) and the variances of the residence times (VRT) for the stochastic model. The expressions are relatively simple computationally, involving primarily matrix inversion, and they are elegant mathematically, in avoiding eigenvalue analysis and the complex domain. The MRT and VRT provide a set of new meaningful response measures for pharmacokinetic analysis and they give added insight into the system kinetics. The new analysis is illustrated with an example involving the cholesterol turnover in rats.

摘要

本文提出了具有常系数的线性房室系统的确定性和随机模型,并推导了随机模型的平均驻留时间(MRT)和驻留时间方差(VRT)的表达式。这些表达式在计算上相对简单,主要涉及矩阵求逆,并且在数学上很简洁,避免了特征值分析和复数域。MRT和VRT为药代动力学分析提供了一组新的有意义的响应指标,并为系统动力学提供了更多的见解。通过一个涉及大鼠胆固醇周转的例子对新的分析进行了说明。

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