Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, BC, Canada.
Clin Pharmacokinet. 2012 Aug 1;51(8):515-25. doi: 10.2165/11634080-000000000-00000.
Population pharmacokinetic modelling is widely used within the field of clinical pharmacology as it helps to define the sources and correlates of pharmacokinetic variability in target patient populations and their impact upon drug disposition. This review focuses on the fundamentals of population pharmacokinetic modelling and provides an overview of the commonly available software programs that perform these functions. This review attempts to define the common, fundamental aspects of population pharmacokinetic modelling through a discussion of the literature describing the techniques and placing them in the appropriate context. An overview of the most commonly available software programs is also provided. Population pharmacokinetic modelling is a powerful approach where sources and correlates of pharmacokinetic variability can be identified in a target patient population receiving a pharmacological agent. There is a need to further standardize and establish the best approaches in modelling so that any model created can be systematically evaluated and the results relied upon. Various nonlinear mixed-effects modelling methods, packaged in a variety of software programs, are available today. When selecting population pharmacokinetic software programs, the consumer needs to consider several factors, including usability (e.g. user interface, native platform, price, input and output specificity, as well as intuitiveness), content (e.g. algorithms and data output) and support (e.g. technical and clinical).
群体药代动力学模型广泛应用于临床药理学领域，因为它有助于确定目标患者群体中药物动力学变异性的来源和相关性，以及它们对药物处置的影响。本综述重点介绍了群体药代动力学模型的基本原理，并概述了执行这些功能的常用软件程序。本综述通过讨论描述这些技术的文献并将其置于适当的背景下，尝试通过讨论描述这些技术的文献来定义群体药代动力学模型的常见基本方面。还提供了最常用的软件程序概述。群体药代动力学模型是一种强大的方法，可以在接受药物治疗的目标患者群体中识别药物动力学变异性的来源和相关性。需要进一步标准化和建立最佳建模方法，以便可以系统地评估创建的任何模型并依赖其结果。如今，有各种非线性混合效应建模方法，包装在各种软件程序中。在选择群体药代动力学软件程序时，消费者需要考虑几个因素，包括可用性（例如用户界面、本地平台、价格、输入和输出特异性以及直观性）、内容（例如算法和数据输出）和支持（例如技术和临床）。
