Bourget P, Delouis J M
Service de Pharmacie Clinique, Hôpital Antoine Beclère, Clamart.
Therapie. 1993 Jan-Feb;48(1):1-5.
The determination of the area under concentration-time curve (AUC) is the most important parameter of a non-compartmental pharmacokinetic analysis. The calculation of AUC is usually performed by the trapezoidal rule. The aim of this work is to examine the reliability of this method still considered as a reference. The trapezoidal rule was compared to a selection of calculation methods often owning to other fields of research i.e., rectangular rule, Simpson and Tchebychev rules and log trapezoidal rule. The specific interest and limits of each method were discussed according to the kind and the type of pharmacokinetic profiles i.e., logarithmic or nonlogarithmic and the number of concentration-time couples. We obtained the following results: 1) The rectangular rule is the most simple and less effective method. 2) The trapezoidal rule remains an interesting method particularly when the profile is monologarithmic or nonlogarithmic. The efficacy of this method increases with the number of points of the pharmacokinetic profile. 3) The Simpson and the Tchebychev rules give very good results particularly when the number of points is higher than 7 and 6 respectively. 4) The log trapezoidal rule is an excellent method for the treatment of a logarithmic profile. 5) Both Tchebychev and log trapezoidal rules give accurate results when compared to the true AUC values. Further, it must be pointed out that this determination is depending on an arbitrary choice of points. Finally, the trapezoidal rule is not always the best method to determine AUC. If the analyst has only a pocket-calculator, he will obtain best results with the Simpson method than with the trapezoidal rule.(ABSTRACT TRUNCATED AT 250 WORDS)
浓度-时间曲线下面积(AUC)的测定是非房室药代动力学分析中最重要的参数。AUC的计算通常采用梯形法则。本研究的目的是检验这种仍被视为参考方法的可靠性。将梯形法则与一系列常用于其他研究领域的计算方法进行比较,即矩形法则、辛普森法则、切比雪夫法则和对数梯形法则。根据药代动力学曲线的类型(即对数型或非对数型)以及浓度-时间数据对的数量,讨论了每种方法的具体优势和局限性。我们得到了以下结果:1)矩形法则是最简单但效率最低的方法。2)梯形法则仍然是一种有趣的方法,特别是当曲线为单对数型或非对数型时。该方法的效率随着药代动力学曲线点数的增加而提高。3)辛普森法则和切比雪夫法则给出了非常好的结果,特别是当点数分别高于7和6时。4)对数梯形法则是处理对数型曲线的优秀方法。5)与真实的AUC值相比,切比雪夫法则和对数梯形法则都给出了准确的结果。此外,必须指出的是,这种测定取决于点的任意选择。最后,梯形法则并不总是测定AUC的最佳方法。如果分析人员只有一个袖珍计算器,那么使用辛普森法则比使用梯形法则能得到更好的结果。(摘要截断于250字)