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使用基于脑电图的麻醉深度测量来评估氧化亚氮的效果,该测量可反映皮层状态和皮层输入。

Assessing nitrous oxide effect using electroencephalographically-based depth of anesthesia measures cortical state and cortical input.

作者信息

Kuhlmann Levin, Liley David T J

机构信息

Centre for Human Psychopharmacology, Swinburne University of Technology, PO Box 218, Hawthorn, VIC 3122, Australia.

NeuroEngineering Laboratory, Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia.

出版信息

J Clin Monit Comput. 2018 Feb;32(1):173-188. doi: 10.1007/s10877-017-9978-1. Epub 2017 Jan 17.

Abstract

Existing electroencephalography (EEG) based depth of anesthesia monitors cannot reliably track sedative or anesthetic states during n-methyl-D-aspartate (NMDA) receptor antagonist based anesthesia with ketamine or nitrous oxide (NO). Here, a physiologically-motivated depth of anesthesia monitoring algorithm based on autoregressive-moving-average (ARMA) modeling and derivative measures of interest, Cortical State (CS) and Cortical Input (CI), is retrospectively applied in an exploratory manner to the NMDA receptor antagonist NO, an adjuvant anesthetic gas used in clinical practice. Composite Cortical State (CCS) and Composite Cortical State distance (CCSd), two new modifications of CS, along with CS and CI were evaluated on electroencephalographic (EEG) data of healthy control individuals undergoing NO inhalation up to equilibrated peak gas concentrations of 20, 40 or 60% NO/O. In particular, CCSd has been devised to vary consistently for increasing levels of anesthetic concentration independent of the anesthetic's microscopic mode of action for both NO and propofol. The strongest effects were observed for the 60% peak gas concentration group. For the 50-60% peak gas levels, individuals showed statistically significant reductions in responsiveness compared to rest, and across the group CS and CCS increased by 39 and 42%, respectively, while CCSd was found to decrease by 398%. On the other hand a clear conclusion regarding the changes in CI could not be reached. These results indicate that, contrary to previous depth of anesthesia monitoring measures, the CS, CCS, and especially CCSd measures derived from frontal EEG are potentially useful for differentiating gas concentration and responsiveness levels in people under NO. On the other hand, determining the utility of CI in this regard will require larger sample sizes and potentially higher gas concentrations. Future work will assess the sensitivity of CS-based and CI measures to other anesthetics and their utility in a clinical environment.

摘要

现有的基于脑电图(EEG)的麻醉深度监测仪在使用氯胺酮或一氧化二氮(NO)进行基于N-甲基-D-天冬氨酸(NMDA)受体拮抗剂的麻醉期间,无法可靠地跟踪镇静或麻醉状态。在此,一种基于自回归移动平均(ARMA)建模以及感兴趣的导数测量指标——皮质状态(CS)和皮质输入(CI)的具有生理学动机的麻醉深度监测算法,以探索性的方式被回顾性应用于NMDA受体拮抗剂NO(一种临床实践中使用的辅助麻醉气体)。复合皮质状态(CCS)和复合皮质状态距离(CCSd)是CS的两种新的修正指标,连同CS和CI一起,在健康对照个体吸入NO直至达到20%、40%或60% NO/O平衡峰值气体浓度的脑电图(EEG)数据上进行了评估。特别是,CCSd的设计目的是,对于NO和丙泊酚,随着麻醉浓度水平的增加而持续变化,且与麻醉药的微观作用方式无关。在60%峰值气体浓度组中观察到最强的效果。对于50 - 60%的峰值气体水平,与休息时相比,个体的反应性在统计学上显著降低,并且在整个组中,CS和CCS分别增加了39%和42%,而CCSd被发现降低了398%。另一方面,关于CI的变化无法得出明确结论。这些结果表明,与先前的麻醉深度监测措施相反,从额叶EEG得出的CS、CCS,尤其是CCSd测量指标,对于区分吸入NO的人群中的气体浓度和反应性水平可能是有用的。另一方面,确定CI在这方面的效用将需要更大的样本量以及可能更高的气体浓度。未来的工作将评估基于CS和CI的测量指标对其他麻醉药的敏感性及其在临床环境中的效用。

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