Literature DB >> 22824933

Continuous electroencephalography monitoring for early prediction of neurological outcome in postanoxic patients after cardiac arrest: a prospective cohort study.

Marleen C Cloostermans1, Fokke B van Meulen, Carin J Eertman, Harold W Hom, Michel J A M van Putten.   

Abstract

OBJECTIVE: To evaluate the value of continuous electroencephalography in early prognostication in patients treated with hypothermia after cardiac arrest.
DESIGN: Prospective cohort study.
SETTING: Medical intensive care unit. PATIENTS: Sixty patients admitted to the intensive care unit for therapeutic hypothermia after cardiac arrest. INTERVENTION: None.
MEASUREMENTS AND MAIN RESULTS: In all patients, continuous electroencephalogram and daily somatosensory evoked potentials were recorded during the first 5 days of admission or until intensive care unit discharge. Neurological outcomes were based on each patient's best achieved Cerebral Performance Category score within 6 months. Twenty-seven of 56 patients (48%) achieved good neurological outcome (Cerebral Performance Category score 1-2).At 12 hrs after resuscitation, 43% of the patients with good neurological outcome showed continuous, diffuse slow electroencephalogram rhythms, whereas this was never observed in patients with poor outcome.The sensitivity for predicting poor neurological outcome of low-voltage and isoelectric electroencephalogram patterns 24 hrs after resuscitation was 40% (95% confidence interval 19%-64%) with a 100% specificity (confidence interval 86%-100%), whereas the sensitivity and specificity of absent somatosensory evoked potential responses during the first 24 hrs were 24% (confidence interval 10%-44%) and 100% (confidence interval: 87%-100%), respectively. The negative predictive value for poor outcome of low-voltage and isoelectric electroencephalogram patterns was 68% (confidence interval 50%-81%) compared to 55% (confidence interval 40%-60%) for bilateral somatosensory evoked potential absence, both with a positive predictive value of 100% (confidence interval 63%-100% and 59%-100% respectively). Burst-suppression patterns after 24 hrs were also associated with poor neurological outcome, but not inevitably so.
CONCLUSIONS: In patients treated with hypothermia, electroencephalogram monitoring during the first 24 hrs after resuscitation can contribute to the prediction of both good and poor neurological outcome. Continuous patterns within 12 hrs predicted good outcome. Isoelectric or low-voltage electroencephalograms after 24 hrs predicted poor outcome with a sensitivity almost two times larger than bilateral absent somatosensory evoked potential responses.

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Year:  2012        PMID: 22824933     DOI: 10.1097/CCM.0b013e31825b94f0

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  83 in total

1.  The Prognostic Value of 48-h Continuous EEG During Therapeutic Hypothermia After Cardiac Arrest.

Authors:  Marta Lamartine Monteiro; Fabio Silvio Taccone; Chantal Depondt; Irene Lamanna; Nicolas Gaspard; Noémie Ligot; Nicolas Mavroudakis; Gilles Naeije; Jean-Louis Vincent; Benjamin Legros
Journal:  Neurocrit Care       Date:  2016-04       Impact factor: 3.210

2.  The role of EEG after cardiac arrest and hypothermia.

Authors:  Lara E Jehi
Journal:  Epilepsy Curr       Date:  2013-07       Impact factor: 7.500

3.  Spectrogram screening of adult EEGs is sensitive and efficient.

Authors:  Lidia M V R Moura; Mouhsin M Shafi; Marcus Ng; Sandipan Pati; Sydney S Cash; Andrew J Cole; Daniel Brian Hoch; Eric S Rosenthal; M Brandon Westover
Journal:  Neurology       Date:  2014-05-23       Impact factor: 9.910

4.  The human burst suppression electroencephalogram of deep hypothermia.

Authors:  M Brandon Westover; Shinung Ching; Vishakhadatta M Kumaraswamy; Seun Oluwaseun Akeju; Eric Pierce; Sydney S Cash; Ronan Kilbride; Emery N Brown; Patrick L Purdon
Journal:  Clin Neurophysiol       Date:  2015-01-16       Impact factor: 3.708

Review 5.  Recommendations on the use of EEG monitoring in critically ill patients: consensus statement from the neurointensive care section of the ESICM.

Authors:  Jan Claassen; Fabio S Taccone; Peter Horn; Martin Holtkamp; Nino Stocchetti; Mauro Oddo
Journal:  Intensive Care Med       Date:  2013-05-08       Impact factor: 17.440

6.  Automated quantitative pupillometry for the prognostication of coma after cardiac arrest.

Authors:  Tamarah Suys; Pierre Bouzat; Pedro Marques-Vidal; Nathalie Sala; Jean-François Payen; Andrea O Rossetti; Mauro Oddo
Journal:  Neurocrit Care       Date:  2014-10       Impact factor: 3.210

7.  EEG for outcome prediction after cardiac arrest: when the quest for optimization needs standardization.

Authors:  Andrea O Rossetti
Journal:  Intensive Care Med       Date:  2015-06-03       Impact factor: 17.440

8.  Infraslow EEG activity modulates cortical excitability in postanoxic encephalopathy.

Authors:  Michel J A M van Putten; Marleen C Tjepkema-Cloostermans; Jeannette Hofmeijer
Journal:  J Neurophysiol       Date:  2015-02-18       Impact factor: 2.714

9.  EEG-based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features.

Authors:  Stefan Jonas; Andrea O Rossetti; Mauro Oddo; Simon Jenni; Paolo Favaro; Frederic Zubler
Journal:  Hum Brain Mapp       Date:  2019-07-19       Impact factor: 5.038

10.  Delayed Deterioration of EEG Background Rhythm Post-cardiac Arrest.

Authors:  Tadeu A Fantaneanu; Rani Sarkis; Kathleen Avery; Benjamin M Scirica; Shelley Hurwitz; Galen V Henderson; Jong Woo Lee
Journal:  Neurocrit Care       Date:  2017-06       Impact factor: 3.210

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