Literature DB >> 25251761

Electroencephalogram predicts outcome in patients with postanoxic coma during mild therapeutic hypothermia.

Marleen C Tjepkema-Cloostermans1, Jeannette Hofmeijer, Ronald J Trof, Michiel J Blans, Albertus Beishuizen, Michel J A M van Putten.   

Abstract

OBJECTIVE: To assess the value of electroencephalogram for prediction of outcome of comatose patients after cardiac arrest treated with mild therapeutic hypothermia.
DESIGN: Prospective cohort study.
SETTING: Medical ICU. PATIENTS: One hundred forty-two patients with postanoxic encephalopathy after cardiac arrest, who were treated with mild therapeutic hypothermia.
MEASUREMENTS AND MAIN RESULTS: Continuous electroencephalogram was recorded during the first 5 days of ICU admission. Visual classification of electroencephalogram patterns was performed in 5-minute epochs at 12 and 24 hours after cardiac arrest by two independent observers, blinded for patients' conditions and outcomes. Patterns were classified as isoelectric, low voltage, epileptiform, burst-suppression, diffusely slowed, or normal. Burst-suppression was subdivided into patterns with and without identical bursts. Primary outcome measure was the neurologic outcome based on each patient's best achieved Cerebral Performance Category score within 6 months after inclusion. 67 patients (47%) had favorable outcome (Cerebral Performance Category, 1-2). In patients with favorable outcome, electroencephalogram patterns improved within 24 hours after cardiac arrest, mostly toward diffusely slowed or normal. At 24 hours after cardiac arrest, the combined group of isoelectric, low voltage, and "burst-suppression with identical bursts" was associated with poor outcome with a sensitivity of 48% (95% CI, 35-61) and a specificity of 100% (95% CI, 94-100). At 12 hours, normal or diffusely slowed electroencephalogram patterns were associated with good outcome with a sensitivity of 56% (95% CI, 41-70) and a specificity of 96% (95% CI, 86-100).
CONCLUSIONS: Electroencephalogram allows reliable prediction of both good and poor neurologic outcome of patients with postanoxic encephalopathy treated with mild therapeutic hypothermia within 24 hours after cardiac arrest.

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Year:  2015        PMID: 25251761     DOI: 10.1097/CCM.0000000000000626

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


  22 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.  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

3.  Quantification of EEG reactivity in comatose patients.

Authors:  Mathilde C Hermans; M Brandon Westover; Michel J A M van Putten; Lawrence J Hirsch; Nicolas Gaspard
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5.  Comparison of Quantitative Characteristics of Early Post-resuscitation EEG Between Asphyxial and Ventricular Fibrillation Cardiac Arrest in Rats.

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6.  The Prognostic Value of Simplified EEG in Out-of-Hospital Cardiac Arrest Patients.

Authors:  Ward Eertmans; Cornelia Genbrugge; Jolien Haesen; Carolien Drieskens; Jelle Demeestere; Margot Vander Laenen; Willem Boer; Dieter Mesotten; Jo Dens; Ludovic Ernon; Frank Jans; Cathy De Deyne
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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.  Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning.

Authors:  Wei-Long Zheng; Edilberto Amorim; Jin Jing; Ona Wu; Mohammad Ghassemi; Jong Woo Lee; Adithya Sivaraju; Trudy Pang; Susan T Herman; Nicolas Gaspard; Barry J Ruijter; Marleen C Tjepkema-Cloostermans; Jeannette Hofmeijer; Michel J A M van Putten; M Brandon Westover
Journal:  IEEE Trans Biomed Eng       Date:  2022-04-21       Impact factor: 4.756

9.  Early EEG contributes to multimodal outcome prediction of postanoxic coma.

Authors:  Jeannette Hofmeijer; Tim M J Beernink; Frank H Bosch; Albertus Beishuizen; Marleen C Tjepkema-Cloostermans; Michel J A M van Putten
Journal:  Neurology       Date:  2015-06-12       Impact factor: 9.910

10.  Standardized EEG interpretation accurately predicts prognosis after cardiac arrest.

Authors:  Erik Westhall; Andrea O Rossetti; Anne-Fleur van Rootselaar; Troels Wesenberg Kjaer; Janneke Horn; Susann Ullén; Hans Friberg; Niklas Nielsen; Ingmar Rosén; Anders Åneman; David Erlinge; Yvan Gasche; Christian Hassager; Jan Hovdenes; Jesper Kjaergaard; Michael Kuiper; Tommaso Pellis; Pascal Stammet; Michael Wanscher; Jørn Wetterslev; Matt P Wise; Tobias Cronberg
Journal:  Neurology       Date:  2016-02-10       Impact factor: 9.910

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