Scaf A H
Department of Pharmacology/Clinical Pharmacology, Medical Faculty, University of Groningen, The Netherlands.
Biopharm Drug Dispos. 1988 Sep-Oct;9(5):415-46. doi: 10.1002/bod.2510090502.
RUGFIT is an interactive computer program to fit polyexponential equations to experimental points without the need of assumptions about the number of exponential terms and without the need of initial parameter estimates. The fitting is performed by iterative stripping minimizing the sum of squared residuals. This procedure leads to multiple model equations describing the profile of the y-value in time, that are compared with the test of Boxenbaum et al. The examples analysed in this paper are: a plasma decay curve after an intravenous bolus injection and one after an oral gift, a dA/dt versus time curve with a lag time and a curve possibly reflecting an entero-hepatic recirculation. The outcomes are, where possible, compared with the outcomes obtained with the computer programs CFT3, NONLIN, and NONLINEAR (SPSS). The latter three programs sometimes run into a local minimum, as the outcomes obtained with RUGFIT were close to the best ones obtained with the other programs. The analyses with RUGFIT show that a choice of an inadequate model equation can lead to a marked error in the value of the area under the curve that may result in a marked error of, for instance, the bioavailability. The procedures of RUGFIT are illustrated in the Appendix. RUGFIT also contains options to calculate microparameters, to simulate dosage regimes, to calculate exponents and intercepts from rate constants and to analyse time effect relationships.
RUGFIT是一个交互式计算机程序,用于将多指数方程拟合到实验点,无需假设指数项的数量,也无需初始参数估计。拟合通过迭代剥离来执行,使残差平方和最小化。该过程会得出多个描述y值随时间变化曲线的模型方程,并与Boxenbaum等人的检验进行比较。本文分析的例子有:静脉推注后和口服给药后的血浆衰减曲线、带有滞后时间的dA/dt随时间变化曲线以及可能反映肠肝循环的曲线。在可能的情况下,将结果与使用计算机程序CFT3、NONLIN和NONLINEAR(SPSS)获得的结果进行比较。后三个程序有时会陷入局部最小值,而RUGFIT获得的结果与其他程序获得的最佳结果相近。使用RUGFIT进行的分析表明,选择不适当的模型方程可能会导致曲线下面积值出现显著误差,这可能会导致例如生物利用度出现显著误差。RUGFIT的程序在附录中进行了说明。RUGFIT还包含计算微观参数、模拟给药方案、根据速率常数计算指数和截距以及分析时间效应关系的选项。