Literature DB >> 35443895

Quantitative Assessment of Electroencephalogram Reactivity in Comatose Patients on Extracorporeal Membrane Oxygenation.

Autumn Williams1, Yinuo Zeng1, Ziwei Li1, Nitish Thakor1, Romergryko G Geocadin2, Jay Bronder2, Nirma Carballido Martinez2, Eva K Ritzl2, Sung-Min Cho3.   

Abstract

Objective assessment of the brain's responsiveness in comatose patients on Extracorporeal Membrane Oxygenation (ECMO) support is essential to clinical care, but current approaches are limited by subjective methodology and inter-rater disagreement. Quantitative electroencephalogram (EEG) algorithms could potentially assist clinicians, improving diagnostic accuracy. We developed a quantitative, stimulus-based algorithm to assess EEG reactivity features in comatose patients on ECMO support. Patients underwent a stimulation protocol of increasing intensity (auditory, peripheral, and nostril stimulation). A total of 129 20-s EEG epochs were collected from 24 patients (age [Formula: see text], 10 females, 14 males) on ECMO support with a Glasgow Coma Scale[Formula: see text]8. EEG reactivity scores ([Formula: see text]-scores) were calculated using aggregated spectral power and permutation entropy for each of five frequency bands ([Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text]. Parameter estimation techniques were applied to [Formula: see text]-scores to identify properties that replicate the decision process of experienced clinicians performing visual analysis. Spectral power changes from audio stimulation were concentrated in the [Formula: see text] band, whereas peripheral stimulation elicited an increase in spectral power across multiple bands, and nostril stimulation changed the entropy of the [Formula: see text] band. The findings of this pilot study on [Formula: see text]-score lay a foundation for a future prediction tool with clinical applications.

Entities:  

Keywords:  ECMO; EEG reactivity; Quantitative EEG; coma; disorder of consciousness; regression analysis

Mesh:

Year:  2022        PMID: 35443895      PMCID: PMC9436243          DOI: 10.1142/S0129065722500253

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   6.325


  25 in total

1.  Cognitive processes in disorders of consciousness as revealed by EEG time-frequency analyses.

Authors:  R Fellinger; W Klimesch; C Schnakers; F Perrin; R Freunberger; W Gruber; S Laureys; M Schabus
Journal:  Clin Neurophysiol       Date:  2011-04-20       Impact factor: 3.708

Review 2.  Clarification and Mitigation of Ethical Problems Surrounding Withdrawal of Extracorporeal Membrane Oxygenation.

Authors:  Susan B Williams; Michael D Dahnke
Journal:  Crit Care Nurse       Date:  2016-10       Impact factor: 1.708

Review 3.  Current clinical approach to patients with disorders of consciousness.

Authors:  Robson Luis Oliveira de Amorim; Marcia Mitie Nagumo; Wellingson Silva Paiva; Almir Ferreira de Andrade; Manoel Jacobsen Teixeira
Journal:  Rev Assoc Med Bras (1992)       Date:  2016-07       Impact factor: 1.209

4.  Extracorporeal Life Support Organization Registry International Report 2016.

Authors:  Ravi R Thiagarajan; Ryan P Barbaro; Peter T Rycus; D Michael Mcmullan; Steven A Conrad; James D Fortenberry; Matthew L Paden
Journal:  ASAIO J       Date:  2017 Jan/Feb       Impact factor: 2.872

5.  Noninvasive Neurological Monitoring in Extracorporeal Membrane Oxygenation.

Authors:  Sung-Min Cho; Wendy Ziai; Yunis Mayasi; Aaron M Gusdon; Jennifer Creed; Matthew Sharrock; Robert Scott Stephens; Chun Woo Choi; Eva K Ritzl; Jose Suarez; Glenn Whitman; Romergryko G Geocadin
Journal:  ASAIO J       Date:  2020-04       Impact factor: 2.872

6.  Trends in U.S. Extracorporeal Membrane Oxygenation Use and Outcomes: 2002-2012.

Authors:  Fenton H McCarthy; Katherine M McDermott; Vinay Kini; Jacob T Gutsche; Joyce W Wald; Dawei Xie; Wilson Y Szeto; Christian A Bermudez; Pavan Atluri; Michael A Acker; Nimesh D Desai
Journal:  Semin Thorac Cardiovasc Surg       Date:  2015-07-22

7.  Quantitative EEG Metrics Differ Between Outcome Groups and Change Over the First 72 h in Comatose Cardiac Arrest Patients.

Authors:  Sara Leingang Wiley; Babak Razavi; Prashanth Krishnamohan; Michael Mlynash; Irina Eyngorn; Kimford J Meador; Karen G Hirsch
Journal:  Neurocrit Care       Date:  2018-02       Impact factor: 3.210

8.  Interobserver agreement in the interpretation of EEG patterns in critically ill adults.

Authors:  Paula A Gerber; Kevin E Chapman; Steve S Chung; Cornelia Drees; Rama K Maganti; Yu-Tze Ng; David M Treiman; Andrew S Little; John F Kerrigan
Journal:  J Clin Neurophysiol       Date:  2008-10       Impact factor: 2.177

Review 9.  Managing disorders of consciousness: the role of electroencephalography.

Authors:  Yang Bai; Yajun Lin; Ulf Ziemann
Journal:  J Neurol       Date:  2020-09-11       Impact factor: 4.849

10.  Value and mechanisms of EEG reactivity in the prognosis of patients with impaired consciousness: a systematic review.

Authors:  Eric Azabou; Vincent Navarro; Nathalie Kubis; Martine Gavaret; Nicholas Heming; Alain Cariou; Djillali Annane; Fréderic Lofaso; Lionel Naccache; Tarek Sharshar
Journal:  Crit Care       Date:  2018-08-02       Impact factor: 9.097

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