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[麻醉深度的测量]

[Measurement of the depth of anaesthesia].

作者信息

Schmidt G N, Müller J, Bischoff P

机构信息

Zentrum für Anästhesiologie und Intensivmedizin, Klinik und Poliklinik für Anästhesiologie, Universitätsklinikum Hamburg-Eppendorf, Martinistrasse 52, 20246 Hamburg, Deutschland.

出版信息

Anaesthesist. 2008 Jan;57(1):9-30, 32-6. doi: 10.1007/s00101-007-1294-6.

Abstract

One of the most important mandates of the anaesthesiologist is to control the depth of anaesthesia. An unsolved problem is that a straight definition of the depth of anaesthesia does not exist. Concerning this it is rational to separate hypnosis from analgesia, from muscle relaxation and from block of cardiovascular reactions. Clinical surrogate parameters such as blood pressure and heart rate are not well-suited for a valid statement about the depth of hypnosis. To answer this question the brain has become the focus of interest as the target of anaesthesia. It is possible to visualize the brain's electrical activity from anelectroencephalogram (EEG). The validity of the spontaneous EEG as an anesthetic depth monitor is limited by the multiphasic activity, especially when anaesthesia is induced (excitation) and in deep anaesthesia (burst suppression). Recently, various commercial monitoring systems have been introduced to solve this problem. These monitoring systems use different interpretations of the EEG or auditory-evoked potentials (AEP). These derived and calculated variables have no pure physiological basis. For that reason a profound knowledge of the algorithms and a validation of the monitoring systems is an indispensable prerequisite prior to their routine clinical use. For the currently available monitoring systems various studies have been reported. At this time it is important to know that the actual available monitors can only value the sedation and not the other components of anaesthesia. For example, they cannot predict if a patient will react to a painful stimulus or not. In the future it would be desirable to develop parameters which allow an estimate of the other components of anaesthesia in addition to the presently available monitoring systems to estimate sedation and muscle relaxation. These could be sensoric-evoked potentials to estimate analgesia and AEPs for the detection of awareness.

摘要

麻醉医生最重要的职责之一是控制麻醉深度。一个尚未解决的问题是,目前尚无麻醉深度的直接定义。因此,将催眠与镇痛、肌肉松弛以及心血管反应阻滞区分开来是合理的。诸如血压和心率等临床替代参数并不适合用于有效判断催眠深度。为回答这个问题,大脑已成为麻醉靶点的关注焦点。通过脑电图(EEG)可以直观显示大脑的电活动。自发EEG作为麻醉深度监测指标的有效性受到多相活动的限制,尤其是在麻醉诱导期(兴奋)和深度麻醉期(爆发抑制)。最近,为解决这个问题引入了各种商业监测系统。这些监测系统对EEG或听觉诱发电位(AEP)采用了不同的解读方式。这些派生和计算出的变量没有纯粹的生理学基础。因此,在将这些监测系统常规应用于临床之前,深入了解其算法并对其进行验证是不可或缺的前提条件。关于目前可用的监测系统,已有各种研究报告。此时,重要的是要知道,现有的监测仪只能评估镇静程度,而无法评估麻醉的其他成分。例如,它们无法预测患者是否会对疼痛刺激做出反应。未来,除了现有的用于评估镇静和肌肉松弛的监测系统外,还希望开发能够评估麻醉其他成分的参数。这些参数可以是用于评估镇痛的感觉诱发电位以及用于检测术中知晓的AEP。

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