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Monitoring Intracranial Pressure in Traumatic Brain Injury
Abstract
Increased intracranial pressure (ICP) is an important cause of secondary brain injury, and ICP monitoring has become an established component of brain monitoring after traumatic brain injury. ICP cannot be reliably estimated from any specific clinical feature or computed tomography finding and must actually be measured. Different methods of monitoring ICP have been described but intraventricular catheters and microtransducer systems are most widely used in clinical practice. ICP is a complex variable that links ICP and cerebral perfusion pressure and provides additional information from identification and analysis of pathologic ICP wave forms. ICP monitoring can also be augmented by measurement of indices describing cerebrovascular pressure reactivity and pressure-volume compensatory reserve. There is considerable variability in the use of ICP monitoring and treatment modalities among head injury centers. However, there is a large body of clinical evidence supporting the use of ICP monitoring to detect intracranial mass lesions early, guide therapeutic interventions, and assess prognosis, and it is recommended by consensus guidelines for head injury management. There remains a need for a prospective, randomized, controlled trial to identify the value of ICP monitoring and management after head injury.
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(2004) · doi:10.1097/01.ta.0000115650.07193.66 · Cited by 382
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Diffuse correlation spectroscopy for non-invasive, micro-vascular cerebral blood flow measurement
Durduran, T., & Yodh, A. G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.017 · Cited by 536
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Raboel, P. H., Bartek, J., Andresen, M., Bellander, B. M., & Romner, B. (2012) · Critical Care Research and Practice · doi:10.1155/2012/950393 · Cited by 416
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Metadata
- Authors
- Smith, M.
- Venue
- Anesthesia & Analgesia
- Published
- 2008-01
- Volume
- 106
- Issue
- 1
- Pages
- 240-248
- ISSN
- 0003-2999 (ISSN-L)
- OpenAlex
- W2060474457
- Cited by
- 294
- References
- 1
- FWCI
- 8.84
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.