Karlsson M O, Molnar V, Bergh J, Freijs A, Larsson R
Department of Pharmacy, Faculty of Pharmacy, Uppsala University, Uppsala, Sweden.
Clin Pharmacol Ther. 1998 Jan;63(1):11-25. doi: 10.1016/S0009-9236(98)90117-5.
Hematologic toxicity after cancer chemotherapy and other drug effects that occur late compared to the exposure are usually modeled with use of some summary exposure variable such as the area under the concentration-time curve (AUC model) or the time of exposure above a threshold concentration (threshold model). An underlying assumption for both of these models is that the drug exerts a direct effect while present in the body and that it is the time integral of this direct effect that is related to the ultimate observed effect, either linearly (AUC model) or by a step function (threshold model). We propose a more general model that allows this relationship to be characterized by a nonlinear continuous function.
Data on survival fraction of neutrophiles and time course of leukopenia from 92 courses of paclitaxel therapy in 21 patients with breast or ovarian cancer was related to paclitaxel concentration-time profiles with the AUC, threshold, and general models. The properties of the general model were also investigated with use of simulations.
For both pharmacodynamic end points, the general model described the data significantly better than the AUC or threshold models.
The general model is an extension to the present way of relating concentration-time profiles to late-effect measures, and it may provide an improved description of the concentration-response relationship and more accurate predictions of the ultimate effect when doses and schedules are varied. It can explain complex relationships between concentration-time profiles and the observed effect, and predictions from it lack some of the counterintuitive properties that the AUC or threshold model have when extrapolations are made.
癌症化疗后的血液学毒性以及与暴露相比发生较晚的其他药物效应,通常使用一些汇总暴露变量进行建模,例如浓度-时间曲线下面积(AUC模型)或高于阈值浓度的暴露时间(阈值模型)。这两种模型的一个基本假设是,药物在体内存在时会产生直接效应,并且正是这种直接效应的时间积分与最终观察到的效应相关,要么呈线性关系(AUC模型),要么通过阶跃函数(阈值模型)。我们提出了一个更通用的模型,该模型允许这种关系由非线性连续函数来表征。
将21例乳腺癌或卵巢癌患者92个疗程紫杉醇治疗的中性粒细胞存活分数和白细胞减少时间进程数据,分别用AUC模型、阈值模型和通用模型与紫杉醇浓度-时间曲线相关联。还通过模拟研究了通用模型的特性。
对于这两个药效学终点,通用模型对数据的描述明显优于AUC模型或阈值模型。
通用模型是对目前将浓度-时间曲线与迟发效应测量相关联方法的扩展,当剂量和给药方案变化时,它可能会对浓度-反应关系提供更好的描述,并对最终效应进行更准确的预测。它可以解释浓度-时间曲线与观察到的效应之间的复杂关系,并且当进行外推时,其预测缺乏AUC模型或阈值模型所具有的一些违反直觉的特性。