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Year : 2008  |  Volume : 56  |  Issue : 4  |  Page : 405--414

Advanced cerebral monitoring in neurocritical care

Department of Neurology, University of California, San Francisco and Neurocritical Care Program, San Francisco General Hospital, California, USA

Correspondence Address:
J Claude Hemphill III
Department of Neurology, Room 4M62, San Francisco General Hospital, 1001 Potrero Avenue, San Francisco, CA 94110
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0028-3886.44628

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New cerebral monitoring techniques allow direct measurement of brain oxygenation and metabolism. Investigation using these new tools has provided additional insight into the understanding of the pathophysiology of acute brain injury and suggested new ways to guide management of secondary brain injury. Studies of focal brain tissue oxygen monitoring have suggested ischemic thresholds in focal regions of brain injury and demonstrated the interrelationship between brain tissue oxygen tension (P bt O 2 ) and other cerebral physiologic and metabolic parameters. Jugular venous oxygen saturation (SjVO 2 ) monitoring may evaluate global brain oxygen delivery and consumption, providing thresholds for detecting brain hypoperfusion and hyperperfusion. Furthermore, critically low values of P bt O 2 and SjVO 2 have also been predictive of mortality and worsened functional outcome, especially after head trauma. Cerebral microdialysis measures the concentrations of extracellular metabolites which may be relevant to cerebral metabolism or ischemia in focal areas of injury. Cerebral blood flow may be measured in the neurointensive care unit using continuous methods such as thermal diffusion and laser Doppler flowmetry. Initial studies have also attempted to correlate findings from advanced neuromonitoring with neuroimaging using dynamic perfusion computed tomography, positron emission tomography, and Xenon computed tomography. Additionally, new methods of data acquisition, storage, and analysis are being developed to address the increasing burden of patient data from neuromonitoring. Advanced informatics techniques such as hierarchical data clustering, generalized linear models, and heat map dendrograms are now being applied to multivariable patient data in order to better develop physiologic patient profiles to improve diagnosis and treatment.


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Online since 20th March '04
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