Literature DB >> 7791362

Intracranial pressure waveform indices in transient and refractory intracranial hypertension.

C F Contant1, C S Robertson, J Crouch, S P Gopinath, R K Narayan, R G Grossman.   

Abstract

Analysis of data obtained by continuous computerized monitoring of intracranial pressure (ICP) in 109 adult patients with severe head trauma was performed to examine the pattern of change in indices of the ICP waveform. Indices derived from direct measurement of the ICP wave and obtained from a Fast Fourier Transform (FFT) were examined. Concurrent physiologic measurements were made. Two types of intracranial hypertension (ICH) were defined for comparison. 'Transient intracranial hypertension' occurred when an abrupt rise in ICP was followed by a return to below 25 mm Hg (n = 63). Increases in ICP that were progressive and led to neurologic deterioration and death were termed 'refractory intracranial hypertension' (n = 18). During transient ICH heart rate, arterial pressure, end-tidal carbon dioxide and jugular venous oxygen saturation all increased, while these measures either were unchanged or decreased during refractory ICH. The pulse amplitude of the ICP wave increased in both types of ICHtn. Other changes in the waveform indices were consistent with this change in pulse amplitude. HFC responded differently to the two types of changes, with an increase during the transient changes and a decrease during the refractory changes. The differences in changes in physiologic measurements as ICH occurred in the 2 groups suggest that in refractory ICH cerebral blood flow is maintained against the mounting ICP, while in transient ICH the hypertension is caused by an increase in cerebral blood flow. The waveform indices do not discriminate between the two types of changes.

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Year:  1995        PMID: 7791362     DOI: 10.1016/0165-0270(94)00106-q

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  13 in total

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2.  Anterior-posterior transcranial ultrasound to measure cranial oscillations.

Authors:  John H K Liu; John E Lynch; Armando Rosales-Velderrain; Douglas G Chang; Robert N Weinreb; Alan R Hargens
Journal:  Aviat Space Environ Med       Date:  2013-09

3.  Prediction of intracranial hypertension through noninvasive intracranial pressure waveform analysis in pediatric hydrocephalus.

Authors:  Matheus Fernando Manzolli Ballestero; Gustavo Frigieri; Brenno Caetano Troca Cabella; Sergio Mascarenhas de Oliveira; Ricardo Santos de Oliveira
Journal:  Childs Nerv Syst       Date:  2017-06-16       Impact factor: 1.475

4.  Bayesian tracking of intracranial pressure signal morphology.

Authors:  Fabien Scalzo; Shadnaz Asgari; Sunghan Kim; Marvin Bergsneider; Xiao Hu
Journal:  Artif Intell Med       Date:  2011-10-02       Impact factor: 5.326

5.  Forecasting ICP elevation based on prescient changes of intracranial pressure waveform morphology.

Authors:  Xiao Hu; Peng Xu; Shadnaz Asgari; Paul Vespa; Marvin Bergsneider
Journal:  IEEE Trans Biomed Eng       Date:  2010-05       Impact factor: 4.538

6.  Inter-subject correlation exists between morphological metrics of cerebral blood flow velocity and intracranial pressure pulses.

Authors:  Sunghan Kim; Xiao Hu; David McArthur; Robert Hamilton; Marvin Bergsneider; Thomas Glenn; Neil Martin; Paul Vespa
Journal:  Neurocrit Care       Date:  2010-12-07       Impact factor: 3.210

7.  Robust peak recognition in intracranial pressure signals.

Authors:  Fabien Scalzo; Shadnaz Asgari; Sunghan Kim; Marvin Bergsneider; Xiao Hu
Journal:  Biomed Eng Online       Date:  2010-10-19       Impact factor: 2.819

8.  Morphological clustering and analysis of continuous intracranial pressure.

Authors:  Xiao Hu; Peng Xu; Fabien Scalzo; Paul Vespa; Marvin Bergsneider
Journal:  IEEE Trans Biomed Eng       Date:  2008-11-07       Impact factor: 4.538

9.  Regression analysis for peak designation in pulsatile pressure signals.

Authors:  Fabien Scalzo; Peng Xu; Shadnaz Asgari; Marvin Bergsneider; Xiao Hu
Journal:  Med Biol Eng Comput       Date:  2009-07-04       Impact factor: 2.602

10.  A subspace decomposition approach toward recognizing valid pulsatile signals.

Authors:  Shadnaz Asgari; Peng Xu; Marvin Bergsneider; Xiao Hu
Journal:  Physiol Meas       Date:  2009-10-01       Impact factor: 2.833

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