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麻醉中的药代动力学-药效学建模

Pharmacokinetic-pharmacodynamic modelling in anaesthesia.

作者信息

Gambús Pedro L, Trocóniz Iñaki F

机构信息

Systems Pharmacology Effect Control & Modeling (SPEC-M) Research Group, Anesthesiology Department, Hospital CLINIC, Barcelona; Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS) Villarroel 170, Barcelona, 08036, Spain; Department of Anesthesia and Perioperative Care, University of California San Francisco (UCSF), San Francisco, CA, USA.

出版信息

Br J Clin Pharmacol. 2015 Jan;79(1):72-84. doi: 10.1111/bcp.12286.

Abstract

Anaesthesiologists adjust drug dosing, administration system and kind of drug to the characteristics of the patient. They then observe the expected response and adjust dosing to the specific requirements according to the difference between observed response, expected response and the context of the surgery and the patient. The approach above can be achieved because on one hand quantification technology has made significant advances allowing the anaesthesiologist to measure almost any effect by using noninvasive, continuous measuring systems. On the other the knowledge on the relations between dosing, concentration, biophase dynamics and effect as well as detection of variability sources has been achieved as being the benchmark specialty for pharmacokinetic-pharmacodynamic (PKPD) modelling. The aim of the review is to revisit the most common PKPD models applied in the field of anaesthesia (i.e. effect compartmental, turnover, drug-receptor binding and drug interaction models) through representative examples. The effect compartmental model has been widely used in this field and there are multiple applications and examples. The use of turnover models has been limited mainly to describe respiratory effects. Similarly, cases in which the dissociation process of the drug-receptor complex is slow compared with other processes relevant to the time course of the anaesthetic effect are not frequent in anaesthesia, where in addition to a rapid onset, a fast offset of the response is required. With respect to the characterization of PD drug interactions different response surface models are discussed. Relevant applications that have changed the way modern anaesthesia is practiced are also provided.

摘要

麻醉医生会根据患者的特点调整药物剂量、给药系统和药物种类。然后,他们观察预期反应,并根据观察到的反应、预期反应与手术及患者情况之间的差异,调整剂量以满足特定需求。上述方法之所以能够实现,一方面是因为定量技术取得了重大进展,使麻醉医生能够使用非侵入性的连续测量系统来测量几乎任何效应。另一方面,作为药代动力学 - 药效学(PKPD)建模的基准专业,在剂量、浓度、生物相动力学与效应之间的关系以及变异性来源的检测方面已经取得了相关知识。本综述的目的是通过代表性实例重新审视麻醉领域中应用的最常见的PKPD模型(即效应室模型、周转模型、药物 - 受体结合模型和药物相互作用模型)。效应室模型在该领域已被广泛使用,并且有多种应用和实例。周转模型的应用主要限于描述呼吸效应。同样,在麻醉中,与麻醉效应时间过程相关的其他过程相比,药物 - 受体复合物解离过程缓慢的情况并不常见,因为麻醉除了起效快之外,还需要反应快速消退。关于PD药物相互作用的特征,讨论了不同的反应表面模型。还提供了改变现代麻醉实践方式的相关应用。

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本文引用的文献

2
Individualized dosing with anesthetic agents.
Clin Pharmacol Ther. 2012 Oct;92(4):417-9. doi: 10.1038/clpt.2012.131.
3
Sevoflurane remifentanil interaction: comparison of different response surface models.
Anesthesiology. 2012 Feb;116(2):311-23. doi: 10.1097/ALN.0b013e318242a2ec.
6
A maturation model for midazolam clearance.
Paediatr Anaesth. 2011 Mar;21(3):302-8. doi: 10.1111/j.1460-9592.2010.03364.x.
8
A two-compartment effect site model describes the bispectral index after different rates of propofol infusion.
J Pharmacokinet Pharmacodyn. 2010 Jun;37(3):243-55. doi: 10.1007/s10928-010-9157-1. Epub 2010 Apr 23.

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