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多模态监测:照亮昏迷的人类大脑。

Multimodality Monitoring: Illuminating the Comatose Human Brain.

作者信息

Francoeur Charles L, Pain Margaret, Mayer Stephan A

机构信息

Division of Critical Care, Department of Anesthesiology and Critical Care, CHU de Québec-Université Laval, Québec, Canada.

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York.

出版信息

Semin Neurol. 2016 Dec;36(6):560-569. doi: 10.1055/s-0036-1592171. Epub 2016 Dec 1.

Abstract

The field of neurocritical care has evolved tremendously in recent years, a development explained vastly by the advent of neurophysiological monitoring. From basic intracranial pressure measurements to brain tissue oxygenation, microdialysis, cerebral blood flow (CBF), and surface and intracortical electroencephalography (EEG), our ability to detect and control physiologic endpoints of brain function in comatose patients has grown substantially. The integration of these data gave birth to the concept of multimodality monitoring (MMM). Real-time data acquisition and analysis systems are crucial for fully understanding the relationship between physiologic drivers such as blood pressure, temperature and end-tidal CO, and end-point measures of brain metabolism such as brain tissue oxygen tension, CBF, lactate/pyruvate ratio, and EEG. Multimodality monitoring provides an early warning system for detecting physiological derangements that can be corrected before secondary brain injury occurs. Multimodality monitoring also allows for the creation of an optimized physiological environment for the injured brain, with the goal of preventing secondary injury events. The authors review the basic ideas and technical aspects of MMM, and therefore provide a unique window of illumination into the comatose human brain.

摘要

近年来,神经重症监护领域取得了巨大进展,这一发展在很大程度上归因于神经生理学监测的出现。从基本的颅内压测量到脑组织氧合、微透析、脑血流量(CBF)以及表面和皮层脑电图(EEG),我们在检测和控制昏迷患者脑功能生理终点方面的能力有了显著提高。这些数据的整合催生了多模态监测(MMM)的概念。实时数据采集和分析系统对于全面理解诸如血压、体温和呼气末二氧化碳等生理驱动因素与诸如脑组织氧张力、CBF、乳酸/丙酮酸比值和EEG等脑代谢终点指标之间的关系至关重要。多模态监测提供了一个早期预警系统,用于检测在继发性脑损伤发生之前可以纠正的生理紊乱。多模态监测还能够为受伤的大脑创造一个优化的生理环境,目标是预防继发性损伤事件。作者回顾了多模态监测的基本理念和技术方面,从而为深入了解昏迷的人脑提供了一个独特的视角。

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