Guédès J P, Couet W
Faculté de Pharmacie, Laboratoire de Pharmacodynamie, Tours, France.
Fundam Clin Pharmacol. 1993;7(2):103-8. doi: 10.1111/j.1472-8206.1993.tb00223.x.
First-order elimination of drugs is often assumed in pharmacokinetics and elimination rate constant is then frequently determined by log-linear regression analysis from plasma concentration measurements. When the time which elapses between the first and the last plasma sample is short compared to the decay half-life, the elimination rate constant may not be determined with satisfactory precision, in particular because of analytical error. Application of basic principles of linear regression analysis allowed us to quantify the theoretical effect of analytical error on the determination of the drug elimination rate constant in that situation. It was highlighted that the precision of that determination could be efficiently improved by measuring samples in replicate, which should be recommended in practice. A user-friendly program was developed which can be used prospectively to optimize sampling strategy, and retrospectively to estimate the precision of parameter estimates. The program works on IBM PC and compatible microcomputers and is available on request.
药代动力学中常假定药物按一级消除，然后通常通过对血浆浓度测量值进行对数线性回归分析来确定消除速率常数。当第一个和最后一个血浆样本之间经过的时间与衰减半衰期相比很短时，尤其是由于分析误差，消除速率常数可能无法以令人满意的精度确定。线性回归分析基本原理的应用使我们能够量化在那种情况下分析误差对药物消除速率常数测定的理论影响。结果表明，通过重复测量样本可以有效提高该测定的精度，在实际中应予以推荐。开发了一个用户友好的程序，该程序可前瞻性地用于优化采样策略，也可回顾性地估计参数估计的精度。该程序在IBM个人电脑及兼容微机上运行，可应要求提供。
