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Monitoring and interpretation of intracranial pressure
Open accessAbstract
Intracranial pressure (ICP) is derived from cerebral blood and cerebrospinal fluid (CSF) circulatory dynamics and can be affected in the course of many diseases of the central nervous system. Monitoring of ICP requires an invasive transducer, although some attempts have been made to measure it non-invasively. Because of its dynamic nature, instant CSF pressure measurement using the height of a fluid column via lumbar puncture may be misleading. An averaging over 30 minutes should be the minimum, with a period of overnight monitoring in conscious patients providing the optimal standard. Computer-aided recording with online waveform analysis of ICP is very helpful. Although there is no "Class I" evidence, ICP monitoring is useful, if not essential, in head injury, poor grade subarachnoid haemorrhage, stroke, intracerebral haematoma, meningitis, acute liver failure, hydrocephalus, benign intracranial hypertension, craniosynostosis etc. Information which can be derived from ICP and its waveforms includes cerebral perfusion pressure (CPP), regulation of cerebral blood flow and volume, CSF absorption capacity, brain compensatory reserve, and content of vasogenic events. Some of these parameters allow prediction of prognosis of survival following head injury and optimisation of "CPP-guided therapy". In hydrocephalus CSF dynamic tests aid diagnosis and subsequent monitoring of shunt function.
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Cited by
Shi, J., Wang, L., Dai, Z., Zhao, L., Du, M., Li, H., & Fang, Y. (2018) · Small · doi:10.1002/smll.201800819 · Cited by 507
The pulsating brain: A review of experimental and clinical studies of intracranial pulsatility
Wagshul, M. E., Eide, P. K., & Madsen, J. R. (2011) · Fluids and Barriers of the CNS · doi:10.1186/2045-8118-8-5 · Cited by 473
Idiopathic intracranial hypertension
Ball, A. K., & Clarke, C. E. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(06)70442-2 · Cited by 355
Eide, P. K., & Sorteberg, W. (2010) · Neurosurgery · doi:10.1227/01.neu.0000363408.69856.b8 · Cited by 259
Review of multimodal machine learning approaches in healthcare
Krones, F., Marikkar, U., Parsons, G., Szmul, A., & Mahdi, A. (2025) · Information Fusion · doi:10.1016/j.inffus.2024.102690 · Cited by 235
Metadata
- Authors
- Czosnyka, M.
- Venue
- Journal of Neurology, Neurosurgery & Psychiatry
- Publisher
- BMJ
- Published
- 2004-06-01
- Volume
- 75
- Issue
- 6
- Pages
- 813-821
- ISSN
- 0022-3050 (ISSN-L)
- OpenAlex
- W2158267976
- Cited by
- 794
- References
- 0
- FWCI
- 14.35
- Type
- journal article
- Language
- en
- Open access
- bronze
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