Literature DB >> 25201613

Prognostic value of electroencephalography (EEG) after out-of-hospital cardiac arrest in successfully resuscitated patients used in daily clinical practice.

Helle Søholm1, Troels Wesenberg Kjær2, Jesper Kjaergaard1, Tobias Cronberg3, John Bro-Jeppesen1, Freddy K Lippert4, Lars Køber1, Michael Wanscher5, Christian Hassager6.   

Abstract

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is associated with a poor prognosis and predicting outcome is complex with neurophysiological testing and repeated clinical neurological examinations as key components of the assessment. In this study we examine the association between different electroencephalography (EEG) patterns and mortality in a clinical cohort of OHCA-patients.
METHODS: From 2002 to 2011 consecutive patients were admitted to an intensive-care-unit after resuscitation from OHCA. Utstein-criteria for pre-hospital data and review of individual patients' charts for post-resuscitation care were used. EEG reports were analysed according to the 2012 American Clinical Neurophysiology Society's guidelines.
RESULTS: A total of 1076 patients were included, and EEG was performed in 20% (n=219) with a median of 3(IQR 2-4) days after OHCA. Rhythmic Delta Activity (RDA) was found in 71 patients (36%) and Periodic Discharges (PD) in 100 patients (45%). Background EEG frequency of Alpha+ or Theta was noted in 107 patients (49%), and change in cerebral EEG activity to stimulation (reactivity) was found in 38 patients (17%). Suppression (all activity <10 μV) was found in 26 (12%) and burst-suppression in 17 (8%) patients. A favourable EEG pattern (reactivity, favourable background frequency and RDA) was independently associated with reduced mortality with hazard ratio (HR) 0.43 (95%CI: 0.24-0.76), p=0.004 (false positive rate: 31%) and a non-favourable EEG pattern (no reactivity, unfavourable background frequency, and PD, suppressed voltage or burst-suppression) was associated with higher mortality (HR=1.62(1.09-2.41), p=0.02) after adjustment for known prognostic factors (false positive rate: 9%).
CONCLUSION: EEG may be useful in work-up in prognostication of patients with OHCA. Findings such as Rhythmic Delta Activity (RDA) seem to be associated with a better prognosis, whereas suppressed voltage and burst-suppression patterns were associated with poor prognosis.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Electroencephalography; Out-of-hospital cardiac arrest; Prognostication

Mesh:

Year:  2014        PMID: 25201613     DOI: 10.1016/j.resuscitation.2014.08.031

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  15 in total

1.  The Reemergence of EEG Reactivity After Cardiac Arrest.

Authors:  Joseph Zachariah; Alejandro A Rabinstein
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2.  Cerebral blood flow is decoupled from blood pressure and linked to EEG bursting after resuscitation from cardiac arrest.

Authors:  Christian Crouzet; Robert H Wilson; Afsheen Bazrafkan; Maryam H Farahabadi; Donald Lee; Juan Alcocer; Bruce J Tromberg; Bernard Choi; Yama Akbari
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Journal:  Neurol Sci       Date:  2016-01-18       Impact factor: 3.307

5.  The Use of Gray-White-Matter Ratios May Help Predict Survival and Neurological Outcomes in Patients Resuscitated From Out-of-Hospital Cardiac Arrest.

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Authors:  Callie M Drohan; Alessandra I Cardi; Jon C Rittenberger; Alexandra Popescu; Clifton W Callaway; Maria E Baldwin; Jonathan Elmer
Journal:  Resuscitation       Date:  2017-12-02       Impact factor: 5.262

Review 7.  Pathophysiology and the Monitoring Methods for Cardiac Arrest Associated Brain Injury.

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8.  Value of Continuous Video EEG and EEG Responses to Thermesthesia Stimulation in Prognosis Evaluation of Comatose Patients after Cardiopulmonary Resuscitation.

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Journal:  Open Med (Wars)       Date:  2018-03-15

9.  Therapeutic hypothermia after cardiac arrest: outcome predictors.

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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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