Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Curr Opin Anaesthesiol. 2010 Aug;23(4):479-84. doi: 10.1097/ACO.0b013e32833a1d2f.
Population modeling is a relatively new pharmacological discipline, the development of which has largely been stimulated by the need for accurate models for the pharmacokinetics and dynamics of anesthetic agents.
Population-based modeling is now considered superior to older, more traditional modeling methods. Nonlinear mixed-effect modeling - a commonly used population-based modeling approach - estimates intraindividual and interindividual variability, limits the influence of outlying samples and individuals through the use of Bayesian statistical analysis, and provides a potential means of optimizing drug delivery regimens, especially when used to define pharmacokinetic-dynamic models for target-controlled infusion systems. In addition to being used for pharmacokinetic modeling, in which the influence of factors such as age, weight and illness can be studied, it is a powerful tool for the study of the influence of multiple factors on drug pharmacodynamics.
Nonlinear mixed-effect population-based modeling has become the gold standard method of pharmacokinetic and pharmacodynamic analysis during new drug development and during subsequent pharmacological studies. Population-based modeling techniques have been applied to numerous aspects of drug delivery in anesthesia, intensive care and pain medicine.
群体建模是一个相对较新的药理学学科，其发展在很大程度上是由对麻醉剂药代动力学和药效学的准确模型的需求所推动的。
基于群体的建模现在被认为优于旧的、更传统的建模方法。非线性混合效应建模——一种常用的基于群体的建模方法——估计个体内和个体间的变异性，通过使用贝叶斯统计分析限制离群样本和个体的影响，并提供优化药物输送方案的潜在手段，特别是在用于定义靶控输注系统的药代动力学-药效学模型时。除了用于药代动力学建模（可以研究年龄、体重和疾病等因素的影响）外，它还是研究多种因素对药物药效学影响的有力工具。
非线性混合效应基于群体的建模已成为新药开发和随后药理学研究中药代动力学和药效学分析的金标准方法。基于群体的建模技术已应用于麻醉、重症监护和疼痛医学中药物输送的众多方面。
