Literature DB >> 27291880

Single electroencephalographic patterns as specific and time-dependent indicators of good and poor outcome after cardiac arrest.

M Spalletti1, R Carrai2, M Scarpino2, C Cossu1, A Ammannati1, M Ciapetti3, L Tadini Buoninsegni3, A Peris3, S Valente4, A Grippo2, A Amantini5.   

Abstract

OBJECTIVE: To evaluate the prognostic value of single EEG patterns recorded at various time-frames in postanoxic comatose patients.
METHODS: This retrospective study included 30-min EEGs, classified according to the definitions of continuity of background activity given by the American Clinical Neurophysiology Society. Isoelectric pattern was distinguished from other suppressed activities. Epileptiform patterns were considered separately. Outcome was dichotomised based on recovery of consciousness as good (Glasgow Outcome Scale [GOS] 3-5) or poor (GOS 1-2).
RESULTS: We analysed 211 EEGs, categorised according to time since cardiac arrest (within 12h and around 24, 48 and 72h). In each time-frame we observed at least one EEG pattern which was 100% specific to poor or good outcome: at 12h continuous and nearly continuous patterns predicted good outcome and isoelectric pattern poor outcome; at 24h isoelectric and burst-suppression predicted poor outcome; at 48 and 72h isoelectric, burst-suppression and suppression (2-10μV) patterns predicted poor outcome.
CONCLUSIONS: The prognostic value of single EEG patterns, defined according to continuity and voltage of background activity, changes until 48-72h after cardiac arrest and in each time-frame there is at least one pattern which accurately predicts good or poor outcome. SIGNIFICANCE: Standard EEG can provide time-dependent reliable indicators of good and poor outcome throughout the first 48-72h after cardiac arrest.
Copyright © 2016. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  Cardiac arrest; Coma; EEG; EEG background activity; Postanoxic coma; Prognostication

Mesh:

Year:  2016        PMID: 27291880     DOI: 10.1016/j.clinph.2016.04.008

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  11 in total

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

Authors:  Autumn Williams; Yinuo Zeng; Ziwei Li; Nitish Thakor; Romergryko G Geocadin; Jay Bronder; Nirma Carballido Martinez; Eva K Ritzl; Sung-Min Cho
Journal:  Int J Neural Syst       Date:  2022-04-20       Impact factor: 6.325

2.  Categorization of post-cardiac arrest patients according to the pattern of amplitude-integrated electroencephalography after return of spontaneous circulation.

Authors:  Kazuhiro Sugiyama; Kazuki Miyazaki; Takuto Ishida; Takahiro Tanabe; Yuichi Hamabe
Journal:  Crit Care       Date:  2018-09-20       Impact factor: 9.097

3.  Early electroencephalography for outcome prediction of postanoxic coma: A prospective cohort study.

Authors:  Barry J Ruijter; Marleen C Tjepkema-Cloostermans; Selma C Tromp; Walter M van den Bergh; Norbert A Foudraine; Francois H M Kornips; Gea Drost; Erik Scholten; Frank H Bosch; Albertus Beishuizen; Michel J A M van Putten; Jeannette Hofmeijer
Journal:  Ann Neurol       Date:  2019-06-24       Impact factor: 10.422

4.  Relevance of Somatosensory Evoked Potential Amplitude After Cardiac Arrest.

Authors:  Astrid B Glimmerveen; Hanneke M Keijzer; Barry J Ruijter; Marleen C Tjepkema-Cloostermans; Michel J A M van Putten; Jeannette Hofmeijer
Journal:  Front Neurol       Date:  2020-04-28       Impact factor: 4.003

5.  Neurophysiological and neuroradiological test for early poor outcome (Cerebral Performance Categories 3-5) prediction after cardiac arrest: Prospective multicentre prognostication data.

Authors:  Maenia Scarpino; Francesco Lolli; Giovanni Lanzo; Riccardo Carrai; Maddalena Spalletti; Franco Valzania; Maria Lombardi; Daniela Audenino; Maria Grazia Celani; Alfonso Marrelli; Sara Contardi; Adriano Peris; Aldo Amantini; Claudio Sandroni; Antonello Grippo
Journal:  Data Brief       Date:  2019-11-04

6.  Prognostic value of 'late' electroencephalography recordings in patients with cardiopulmonal resuscitation after cardiac arrest.

Authors:  Jakob I Doerrfuss; Alexander B Kowski; Martin Holtkamp; Moritz Thinius; Christoph Leithner; Christian Storm
Journal:  J Neurol       Date:  2021-04-19       Impact factor: 4.849

Review 7.  Revisiting EEG as part of the multidisciplinary approach to post-cardiac arrest care and prognostication: A review.

Authors:  Jay Bronder; Sung-Min Cho; Romergryko G Geocadin; Eva Katharina Ritzl
Journal:  Resusc Plus       Date:  2021-12-16

8.  Data on multimodal approach for early poor outcome (Cerebral Performance Categories 3-5) prediction after cardiac arrest.

Authors:  Maenia Scarpino; Giovanni Lanzo; Francesco Lolli; Riccardo Carrai; Marco Moretti; Maddalena Spalletti; Morena Cozzolino; Adriano Peris; Aldo Amantini; Antonello Grippo
Journal:  Data Brief       Date:  2018-05-25

9.  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

10.  The Use of Continuous EEG Monitoring in Intensive Care Units in The Netherlands: A National Survey.

Authors:  Danny M W Hilkman; Walther N K A van Mook; Werner H Mess; Vivianne H J M van Kranen-Mastenbroek
Journal:  Neurocrit Care       Date:  2018-10       Impact factor: 3.210

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