Literature DB >> 9779215

Estimation of the main factors affecting ICP dynamics by mathematical analysis of PVI tests.

M Ursino1, C A Lodi, S Rossi, N Stocchetti.   

Abstract

A simplified model of intracranial dynamics is used to reproduce the intracranial pressure (ICP) time pattern in 20 patients with severe brain damage during PVI tests. A comparison of model responses and clinical tracings was achieved by minimizing a least square criterion function and adjusting just 5 parameters. These are: the CSF outflow resistance, the intracranial elastance coefficient, the autoregulation gain and time constant, and the basal values of arteriolar compliance. Based on the value of the autoregulation gain, the patients were classified into two groups: those with damaged autoregulation (8 out of 12) and those with preserved autoregulation (12 out of 20). Finally, analysis of the correlation between parameter estimates provided suggestions on the combination of a parameter changes which may have the greater impact on ICP in the individual cases. Once these parameters have been identified, they may become possible targets for therapeutic interventions.

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Year:  1998        PMID: 9779215     DOI: 10.1007/978-3-7091-6475-4_89

Source DB:  PubMed          Journal:  Acta Neurochir Suppl        ISSN: 0065-1419


  3 in total

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Authors:  J Claude Hemphill; Peter Andrews; Michael De Georgia
Journal:  Nat Rev Neurol       Date:  2011-07-12       Impact factor: 42.937

Review 3.  Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.

Authors:  Fawaz Al-Mufti; Michael Kim; Vincent Dodson; Tolga Sursal; Christian Bowers; Chad Cole; Corey Scurlock; Christian Becker; Chirag Gandhi; Stephan A Mayer
Journal:  Curr Neurol Neurosci Rep       Date:  2019-11-13       Impact factor: 5.081

  3 in total

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