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Relative Position of the Third Characteristic Peak of the Intracranial Pressure Pulse Waveform Morphology Differentiates Normal-Pressure Hydrocephalus Shunt Responders and Nonresponders

  • Robert Hamilton
  • Jennifer Fuller
  • Kevin Baldwin
  • Paul Vespa
  • Xiao HuEmail author
  • Marvin Bergsneider
Part of the Acta Neurochirurgica Supplement book series (NEUROCHIRURGICA, volume 122)

Abstract

Introduction: The diversion of cerebrospinal fluid (CSF) remains the principal treatment option for patients with normal-pressure hydrocephalus (NPH). External lumbar drain (ELD) and overnight intracranial pressure (ICP) monitoring are popular prognostic tests for differentiating which patients will benefit from shunting. Using the morphological clustering and analysis of continuous intracranial pulse (MOCAIP) algorithm to extract morphological metrics from the overnight ICP signal, we hypothesize that changes in the third peak of the ICP pulse pressure waveform can be used to differentiate ELD responders and nonresponders. Materials and Methods: Our study involved 66 patients (72.2 ± 9.8 years) undergoing evaluation for possible NPH, which included overnight ICP monitoring and ELD. ELD outcome was based on clinical notes and divided into nonresponders and responders. MOCAIP was used to extract mean ICP, ICP wave amplitude (waveAmp), and a metric derived to study P3 elevation (P3ratio). Results: Of the 66 patients, 7 were classified as nonresponders and 25 as significant responders. The mean ICP and waveAmp did not vary significantly (p = 0.19 and p = 0.41) between the outcome groups; however, the P3ratio did show a significant difference (p = 0.04). Conclusion: Initial results suggest that the P3ratio might be used as a prognostic indicator for ELD outcome.

Keywords

Intracranial pressure Normal-pressure hydrocephalus Waveform morphology Shunt response Pulse pressure waveform External lumbar drain 

Notes

Acknowledgments

The present work was partially supported by the National Institutes of Health (NIH) and the National Institute of Neurological Disorders and Stroke (NINDS) NS059797, NS054881, and NS066008.

Conflict of Interest

No conflicts of interest to report for this work.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Robert Hamilton
    • 1
    • 2
  • Jennifer Fuller
    • 3
  • Kevin Baldwin
    • 1
  • Paul Vespa
    • 1
    • 3
  • Xiao Hu
    • 1
    • 2
    Email author
  • Marvin Bergsneider
    • 1
    • 2
    • 3
  1. 1.Neural Systems and Dynamics Laboratory, Department of NeurosurgeryThe David Geffen School of Medicine, University of CaliforniaLos AngelesUSA
  2. 2.Biomedical Engineering Graduate ProgramHenry Samueli School of Engineering and Applied Science, University of CaliforniaLos AngelesUSA
  3. 3.The David Geffen School of Medicine, University of California-Los AngelesLos AngelesUSA

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