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A program for the optimization of cyclosporine therapy using population kinetics modeling.

机译:使用种群动力学模型优化环孢霉素治疗的程序。

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摘要

Cyclosporine is one of the most widely used immunosuppressive agents in organ transplantation. Due to large inter- and intra-individual variations, its behavior in the specific patient is still difficult to predict. Dosage optimization is thus mainly performed on a trial-and-error basis. In this paper, we present a new program based on the population kinetics approach, which was designed to help physicians in the difficult task of adjusting patient specific cyclosporine dosing regimens. Dose optimization is carried out by model simulation, using a two-compartment mathematical model of cyclosporine kinetics to predict the drug behavior in the patient. Two of the model parameters are assumed from the literature, the other two are estimated from the patient data through a Bayesian estimation procedure. Previous information needed by the Bayesian algorithm is derived by a population analysis, performed beforehand and based on a nonlinear mixed effect model. A user-friendly graphical interface written in Delphi under Windows makes the program easily accessible to physicians. A preliminary retrospective validation of the program, performed on data from 18 renal transplanted patients, yielded very satisfactory results.
机译:环孢霉素是器官移植中使用最广泛的免疫抑制剂之一。由于个体之间和个体内部的差异很大,其在特定患者中的行为仍然难以预测。因此,剂量优化主要是在反复试验的基础上进行的。在本文中,我们提出了一种基于群体动力学方法的新程序,该程序旨在帮助医生完成调整患者特定环孢素剂量方案的艰巨任务。通过模型模拟进行剂量优化,使用环孢素动力学的两室数学模型来预测患者的药物行为。从文献中假设了两个模型参数,通过贝叶斯估计程序从患者数据中估计了另外两个模型参数。贝叶斯算法需要的先前信息是通过总体分析得出的,并预先基于非线性混合效应模型执行。 Windows下用Delphi编写的用户友好图形界面使医生可以轻松访问该程序。根据18位肾移植患者的数据对该程序进行了初步回顾性验证,结果非常令人满意。

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