Significance of intracranial pressure waveform analysis after head injury

1996 ◽  
Vol 138 (5) ◽  
pp. 531-542 ◽  
Author(s):  
M. Czosnyka ◽  
E. Guazzo ◽  
M. Whitehouse ◽  
P. Smielewski ◽  
Z. Czosnyka ◽  
...  

2017 ◽  
Vol 33 (9) ◽  
pp. 1517-1524 ◽  
Author(s):  
Matheus Fernando Manzolli Ballestero ◽  
Gustavo Frigieri ◽  
Brenno Caetano Troca Cabella ◽  
Sergio Mascarenhas de Oliveira ◽  
Ricardo Santos de Oliveira


2007 ◽  
Vol 43 (6) ◽  
pp. 472-481 ◽  
Author(s):  
P.K. Eide ◽  
A. Egge ◽  
B.J. Due-Tønnessen ◽  
E. Helseth


2009 ◽  
Vol 11 (2) ◽  
pp. 174-186 ◽  
Author(s):  
Joanne V. Hickey ◽  
DaiWai M. Olson ◽  
Dennis A. Turner

Cerebral compliance is a measure of cerebral adaptability to increases in volume within the intracranial space and an indicator of risk for neurological deterioration. However, no direct measurement of compliance exists in clinical practice to guide nursing care or treatment decisions. Current use of mean intracranial pressure (MICP) and gross morphological intracranial pressure waveform (ICPW) analysis have great variability in predicting outcomes. The purpose of this review and pilot study was to evaluate the effects of suctioning on MICP and other measures estimating cerebral compliance derived from analysis of ICPW on patient outcome. We analyzed arterial blood pressure waveforms (ABPWs), ICPWs, and respiratory cycle variations using Fourier Transform analysis, to explore the potential benefits of studying ICPWs across single cardiac and respiratory cycles using linear modeling and calculation of correlation coefficients. ABPWs, ICPWs, and MICP were measured over individual cardiac cycles across multiple respiratory phases in five critically ill neurological patients. Both direct and derived ICP measures, including Fourier analysis of ABP and ICP and the cross-transform between ABP and ICP, were correlated with patient outcome. This more complex waveform analysis of individual ABPW and ICPW together, and derived measures during both single cardiac and respiratory cycles, may provide information relevant to cerebral compliance and patient outcomes. Pending confirmation with additional data sets, this technique may be a useful real-time clinical tool to provide a measure of compliance and risk of neurological deterioration for clinicians.



2000 ◽  
Vol 32 (5) ◽  
pp. 271-277 ◽  
Author(s):  
Catherine J. Kirkness ◽  
Pamela H. Mitchell ◽  
Robert L. Burr ◽  
Karen S. March ◽  
David W. Newell




Author(s):  
Z. Czosnyka ◽  
N. Keong ◽  
D. J. Kim ◽  
D. Radolovich ◽  
P. Smielewski ◽  
...  


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