Literature DB >> 16374161

Complex analysis of intracranial hypertension using approximate entropy.

Roberto Hornero1, Mateo Aboy, Daniel Abasolo, James McNames, Wayne Wakeland, Brahm Goldstein.   

Abstract

OBJECTIVE: To determine whether decomplexification of intracranial pressure dynamics occurs during periods of severe intracranial hypertension (intracranial pressure >25 mm Hg for >5 mins in the absence of external noxious stimuli) in pediatric patients with intracranial hypertension.
DESIGN: Retrospective analysis of clinical case series over a 30-month period from April 2000 through January 2003.
SETTING: Multidisciplinary 16-bed pediatric intensive care unit. PATIENTS: Eleven episodes of intracranial hypertension from seven patients requiring ventriculostomy catheter for intracranial pressure monitoring and/or cerebral spinal fluid drainage.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: We measured changes in the intracranial pressure complexity, estimated by the approximate entropy (ApEn), as patients progressed from a state of normal intracranial pressure (<25 mm Hg) to intracranial hypertension. We found the ApEn mean to be lower during the intracranial hypertension period than during the stable and recovering periods in all the 11 episodes (0.5158 +/- 0.0089, 0.3887 +/- 0.077, and 0.5096 +/- 0.0158, respectively, p < .01). Both the mean reduction in ApEn from the state of normal intracranial pressure (stable region) to intracranial hypertension (-0.1271) and the increase in ApEn from the ICH region to the recovering region (0.1209) were determined to be statistically significant (p < .01).
CONCLUSIONS: Our results indicate that decreased complexity of intracranial pressure coincides with periods of intracranial hypertension in brain injury. This suggests that the complex regulatory mechanisms that govern intracranial pressure may be disrupted during acute periods of intracranial hypertension. This phenomenon of decomplexification of physiologic dynamics may have important clinical implications for intracranial pressure management.

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Year:  2006        PMID: 16374161     DOI: 10.1097/01.ccm.0000190426.44782.f0

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  11 in total

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Authors:  David Santamarta; Roberto Hornero; Daniel Abásolo; Milton Martínez-Madrigal; Javier Fernández; Jose García-Cosamalón
Journal:  Childs Nerv Syst       Date:  2010-08-03       Impact factor: 1.475

2.  Characterization of interdependency between intracranial pressure and heart variability signals: a causal spectral measure and a generalized synchronization measure.

Authors:  Xiao Hu; Valeriy Nenov; Paul Vespa; Marvin Bergsneider
Journal:  IEEE Trans Biomed Eng       Date:  2007-08       Impact factor: 4.538

3.  Adaptive computation of approximate entropy and its application in integrative analysis of irregularity of heart rate variability and intracranial pressure signals.

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Journal:  Med Eng Phys       Date:  2007-08-21       Impact factor: 2.242

4.  Characterisation of the complexity of intracranial pressure signals measured from idiopathic and secondary normal pressure hydrocephalus patients.

Authors:  Tricia Adjei; Daniel Abásolo; David Santamarta
Journal:  Healthc Technol Lett       Date:  2016-07-05

5.  Predicting survival in critical patients by use of body temperature regularity measurement based on approximate entropy.

Authors:  D Cuesta; M Varela; P Miró; P Galdós; D Abásolo; R Hornero; M Aboy
Journal:  Med Biol Eng Comput       Date:  2007-06-05       Impact factor: 2.602

6.  Complexity of intracranial pressure correlates with outcome after traumatic brain injury.

Authors:  Cheng-Wei Lu; Marek Czosnyka; Jiann-Shing Shieh; Anna Smielewska; John D Pickard; Peter Smielewski
Journal:  Brain       Date:  2012-06-25       Impact factor: 13.501

7.  Reduced complexity of intracranial pressure observed in short time series of intracranial hypertension following traumatic brain injury in adults.

Authors:  Martin Soehle; Bernadette Gies; Peter Smielewski; Marek Czosnyka
Journal:  J Clin Monit Comput       Date:  2013-01-10       Impact factor: 2.502

8.  Analysis of intracranial pressure during acute intracranial hypertension using Lempel-Ziv complexity: further evidence.

Authors:  Roberto Hornero; Mateo Aboy; Daniel Abásolo
Journal:  Med Biol Eng Comput       Date:  2007-05-31       Impact factor: 3.079

9.  Clinical applications of heart rate variability in the triage and assessment of traumatically injured patients.

Authors:  Mark L Ryan; Chad M Thorson; Christian A Otero; Thai Vu; Kenneth G Proctor
Journal:  Anesthesiol Res Pract       Date:  2011-02-10

10.  Selection of entropy-measure parameters for knowledge discovery in heart rate variability data.

Authors:  Christopher C Mayer; Martin Bachler; Matthias Hörtenhuber; Christof Stocker; Andreas Holzinger; Siegfried Wassertheurer
Journal:  BMC Bioinformatics       Date:  2014-05-16       Impact factor: 3.169

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