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多模态监测与神经危重症生物信息学。

Multimodal monitoring and neurocritical care bioinformatics.

机构信息

Department of Neurology, Brain and Spinal Injury Center, San Francisco General Hospital, Room 4M62, 1001 Potrero Avenue, San Francisco, CA 94110, USA.

出版信息

Nat Rev Neurol. 2011 Jul 12;7(8):451-60. doi: 10.1038/nrneurol.2011.101.

Abstract

Neurocritical care bioinformatics is a new field that focuses on the acquisition, storage and analysis of physiological and other data relevant to the bedside care of patients with acute neurological conditions such as traumatic brain injury or stroke. The main focus of neurocritical care for these conditions relates to prevention, detection and management of secondary brain injury, which relies heavily on monitoring of systemic and cerebral parameters (such as blood-pressure level and intracranial pressure). Advanced neuromonitoring tools also exist that enable measurement of brain tissue oxygen tension, cerebral oxygen utilization, and aerobic metabolism. The ability to analyze these advanced data for real-time clinical care, however, remains intuitive and primitive. Advanced statistical and mathematical tools are now being applied to the large volume of clinical physiological data routinely monitored in neurocritical care with the goal of identifying better markers of brain injury and providing clinicians with improved ability to target specific goals in the management of these patients. This Review provides an introduction to the concepts of multimodal monitoring for secondary brain injury in neurocritical care and outlines initial and future approaches using informatics tools for understanding and applying these data to clinical care.

摘要

神经危重症生物信息学是一个新的领域,专注于获取、存储和分析与急性神经状况(如创伤性脑损伤或中风)患者床边护理相关的生理和其他数据。对于这些疾病,神经危重症护理的主要关注点是预防、检测和管理继发性脑损伤,这严重依赖于对全身和大脑参数(如血压水平和颅内压)的监测。此外,还有先进的神经监测工具可以测量脑组织氧张力、脑氧利用和有氧代谢。然而,分析这些先进数据以进行实时临床护理的能力仍然直观而原始。目前,正在将先进的统计和数学工具应用于神经危重症护理中常规监测的大量临床生理数据中,目的是识别更好的脑损伤标志物,并为临床医生提供改善管理这些患者特定目标的能力。本文综述了神经危重症中继发性脑损伤的多模态监测概念,并概述了使用信息学工具理解和将这些数据应用于临床护理的初始和未来方法。

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