Multimodal monitoring and neurocritical care bioinformatics

被引:75
|
作者
Hemphill, J. Claude [1 ]
Andrews, Peter [2 ]
De Georgia, Michael [3 ]
机构
[1] San Francisco Gen Hosp, Dept Neurol, Brain & Spinal Injury Ctr, San Francisco, CA 94110 USA
[2] Western Gen Hosp, Dept Crit Care, Edinburgh EH4 2XU, Midlothian, Scotland
[3] Case Western Reserve Univ, Univ Hosp Case Med Ctr, Neurol Inst, Ctr Neurocrit Care, Cleveland, OH 44106 USA
关键词
CEREBRAL PERFUSION-PRESSURE; HEART-RATE-VARIABILITY; TRAUMATIC BRAIN-INJURY; INTRACRANIAL-PRESSURE; BLOOD-FLOW; PROGNOSTIC-SIGNIFICANCE; APPROXIMATE ENTROPY; PHYSIOLOGICAL DATA; DATA-ACQUISITION; CONTINUOUS EEG;
D O I
10.1038/nrneurol.2011.101
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:451 / 460
页数:10
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