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Published in: Journal of Clinical Monitoring and Computing 1/2019

Open Access 01-02-2019 | Original Research

The intracranial pressure curve correlates to the pulsatile component of cerebral blood flow

Authors: Mårten Unnerbäck, Eric L. Bloomfield, Sven Söderström, Peter Reinstrup

Published in: Journal of Clinical Monitoring and Computing | Issue 1/2019

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Abstract

Current methods to measure cerebral blood flow (CBF) in the neuro critical care setting cannot monitor the CBF continuously. In contrast, continuous measurement of intracranial pressure (ICP) is readily accomplished, and there is a component of ICP that correlates with arterial inflow of blood into the cranial cavity. This property may have utility in using continuous ICP curve analysis to continuously estimate CBF. We examined the data from 13 patients, monitored with an intraventricular ICP device determining the pulsatile amplitude ICPamp as well as the area under the ICP curve (AUCICP). Using an elastance measurement, the ICP curve was converted to craniospinal volume (AUCΔV). The patients were examined with Phase Contrast Magnetic Resonance Imaging (MRI), measuring flow in the carotid and vertebral arteries. This made it possible to calculate CBF for one cardiac cycle (ccCBFMRtot) and divide it into the pulsatile (ccCBFMRpuls) and non-pulsatile (ccCBFMRconst) flow. ICP derived data and MRI measurements were compared. Linear regression was used to establish wellness of fit and ANOVA was used to calculate the P value. No correlation was found between ICPamp and the ccICPMRpuls (P = 0.067). In contrast there was a correlation between the AUCICP and ccCBFMRpuls (R2 = 0.440 P = 0.013). The AUCΔV correlated more appropriately with the ccCBFMRpuls. (R2 = 0.688 P < 0.001). Our findings suggests that the pulsatile part of the intracranial pressure curve, especially when transformed into a volume curve, correlates to the pulsatile part of the CBF.
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Metadata
Title
The intracranial pressure curve correlates to the pulsatile component of cerebral blood flow
Authors
Mårten Unnerbäck
Eric L. Bloomfield
Sven Söderström
Peter Reinstrup
Publication date
01-02-2019
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 1/2019
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-018-0129-0

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