Vozeh S, Steimer J L
Clin Pharmacokinet. 1985 Nov-Dec;10(6):457-76. doi: 10.2165/00003088-198510060-00001.
The concept of feedback control methods for drug dosage optimisation is described from the viewpoint of control theory. The control system consists of 5 parts: (a) patient (the controlled process); (b) response (the measured feedback); (c) model (the mathematical description of the process); (d) adaptor (to update the parameters); and (e) controller (to determine optimum dosing strategy). In addition to the conventional distinction between open-loop and closed-loop control systems, a classification is proposed for dosage optimisation techniques which distinguishes between tight-loop and loose-loop methods depending on whether physician's interaction is absent or included as part of the control step. Unlike engineering problems where the process can usually be controlled by fully automated devices, therapeutic situations often require that the physician be included in the decision-making process to determine the 'optimal' dosing strategy. Tight-loop and loose-loop methods can be further divided into adaptive and non-adaptive, depending on the presence of the adaptor. The main application areas of tight-loop feedback control methods are general anaesthesia, control of blood pressure, and insulin delivery devices. Loose-loop feedback methods have been used for oral anticoagulation and in therapeutic drug monitoring. The methodology, advantages and limitations of the different approaches are reviewed. A general feature common to all application areas could be observed: to perform well under routine clinical conditions, which are characterised by large interpatient variability and sometimes also intrapatient changes, control systems should be adaptive. Apart from application in routine drug treatment, feedback control methods represent an important research tool. They can be applied for the investigation of pathophysiological and pharmacodynamic processes. A most promising application is the evaluation of the relationship between an intermediate response (e.g. drug level), which is often used as feedback for dosage adjustment, and the final therapeutic goal.
从控制理论的角度描述了用于药物剂量优化的反馈控制方法的概念。控制系统由五个部分组成:(a) 患者(受控过程);(b) 反应(测量的反馈);(c) 模型(过程的数学描述);(d) 适配器(用于更新参数);以及 (e) 控制器(用于确定最佳给药策略)。除了传统的开环和闭环控制系统之间的区别外,还针对剂量优化技术提出了一种分类方法,该方法根据医生的交互是否作为控制步骤的一部分而分为紧环和松环方法。与工程问题不同,在工程问题中过程通常可以由全自动设备控制,治疗情况通常需要医生参与决策过程以确定“最佳”给药策略。根据适配器的存在与否,紧环和松环方法可进一步分为自适应和非自适应方法。紧环反馈控制方法的主要应用领域是全身麻醉、血压控制和胰岛素输送装置。松环反馈方法已用于口服抗凝和治疗药物监测。综述了不同方法的方法、优点和局限性。可以观察到所有应用领域共有的一个普遍特征:为了在以患者间差异大且有时患者内变化也大的常规临床条件下表现良好,控制系统应该是自适应的。除了在常规药物治疗中的应用外,反馈控制方法是一种重要的研究工具。它们可用于研究病理生理和药效学过程。一个最有前途的应用是评估通常用作剂量调整反馈的中间反应(例如药物水平)与最终治疗目标之间的关系。