Olofsen Erik, Dahan Albert
Department of Anesthesiology, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands.
AAPS J. 2005 Oct 5;7(2):E383-9. doi: 10.1208/aapsj070239.
In this article we review how population pharmacokinetic/pharmacodynamic (PD) modeling has evolved in the specialty of anesthesiology, how anesthesiology benefited from the mixed-effects approach, and which features of modeling need careful attention. Key articles from the anesthesiology literature are selected to discuss the modeling of typical anesthesiological PD end points, such as level of consciousness and analgesia, interactions between hypnotics and analgesics, estimation with poor and sometimes rich data sets from populations of various sizes, covariate detection, covariances between random effects, and Bayesian forecasting.
在本文中,我们回顾了群体药代动力学/药效学(PK/PD)模型在麻醉学专业中的发展历程、麻醉学如何从混合效应方法中受益,以及模型的哪些特征需要特别关注。我们选取了麻醉学文献中的关键文章,讨论典型麻醉学PD终点的建模,如意识水平和镇痛、催眠药与镇痛药之间的相互作用、来自不同规模人群的贫乏或有时丰富数据集的估计、协变量检测、随机效应之间的协方差以及贝叶斯预测。