Concentration/effect analysis of verapamil: evaluation of different approaches.

S Harder, S Rietbrock, P Thürmann
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Abstract

Plasma concentration and PR-interval prolongation were correlated after a single dose of 80 mg verapamil (trial A) and at steady-state during one dose interval (80 mg verapamil t.i.d.) on day 7 (trial B) and day 14 (trial C) and the subsequent dose interval at the afternoon on day 14 (trial D). The pharmacokinetic parameters of verapamil indicated a two-fold increase in AUC and Cmax at trial B and C when compared with the single dose application, but AUC and Cmax were considerably lesser during the afternoon dosing interval (trial D). For each subject, concentration/effect analysis was established: according to a linear and a sigmoidal model, and using a plasma concentration vs effect approach (1) and a semiparametric effect-site concentration vs effect approach (2). The comparison of the two different approaches and models showed that in general, the concentration/effect analysis based on the linear model and with approach 2 gave the best description of the dromotropic response to verapamil for the majority of the individuals. However, approach 1 accounts for 30 to 50% of the concentration/effect curve established in the data subsets of trial A to D, and about 40% of all curves in trial A, B and C can be more precisely described with the Emax-model, whereas almost all curves obtained in trial D were best described by a linear model. A decrease in the responsiveness to verapamil at steady-state was indicated by both models, but more precisely described by the parameters of the Emax-model.

维拉帕米浓度/效果分析:不同方法的评价。
在第7天(试验B)和第14天(试验C)以及随后的第14天下午(试验D)的一个剂量间隔(80mg维拉帕米每日服用)中,血浆浓度与pr -间期延长相关。维拉帕米的药代动力学参数显示,与单剂量应用相比,试验B和C的AUC和Cmax增加了两倍。但AUC和Cmax在下午给药间隔期间明显较低(试验D)。对于每个受试者,建立浓度/效应分析:根据线性和s型模型,并采用血浆浓度-效应方法(1)和半参数效应部位浓度-效应方法(2)。两种不同方法和模型的比较表明,一般情况下,基于线性模型和方法2的浓度/效应分析最能描述大多数个体对维拉帕米的促性反应。然而,方法1占试验A至D数据子集中建立的浓度/效应曲线的30%至50%,并且试验A、B和C中约40%的曲线可以用emax模型更精确地描述,而试验D中获得的几乎所有曲线都可以用线性模型来描述。两种模型都表明稳态时对维拉帕米的反应性降低,但emax模型的参数更准确地描述了这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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