Literature DB >> 27181515

Electroencephalography reactivity for prognostication of post-anoxic coma after cardiopulmonary resuscitation: A comparison of quantitative analysis and visual analysis.

Gang Liu1, Yingying Su2, Mengdi Jiang1, Weibi Chen1, Yan Zhang1, Yunzhou Zhang1, Daiquan Gao1.   

Abstract

Electroencephalogram reactivity (EEG-R) is a positive predictive factor for assessing outcomes in comatose patients. Most studies assess the prognostic value of EEG-R utilizing visual analysis; however, this method is prone to subjectivity. We sought to categorize EEG-R with a quantitative approach. We retrospectively studied consecutive comatose patients who had an EEG-R recording performed 1-3 days after cardiopulmonary resuscitation (CPR) or during normothermia after therapeutic hypothermia. EEG-R was assessed via visual analysis and quantitative analysis separately. Clinical outcomes were followed-up at 3-month and dichotomized as recovery of awareness or no recovery of awareness. A total of 96 patients met the inclusion criteria, and 38 (40%) patients recovered awareness at 3-month followed-up. Of 27 patients with EEG-R measured with visual analysis, 22 patients recovered awareness; and of the 69 patients who did not demonstrated EEG-R, 16 patients recovered awareness. The sensitivity and specificity of visually measured EEG-R were 58% and 91%, respectively. The area under the receiver operating characteristic curve for the quantitative analysis was 0.92 (95% confidence interval, 0.87-0.97), with the best cut-off value of 0.10. EEG-R through quantitative analysis might be a good method in predicting the recovery of awareness in patients with post-anoxic coma after CPR.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cardiopulmonary resuscitation; Coma; EEG reactivity; Prognosis; Quantitative EEG

Mesh:

Year:  2016        PMID: 27181515     DOI: 10.1016/j.neulet.2016.04.055

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  5 in total

1.  Early Consciousness Disorder in Acute Large Hemispheric Infarction: An Analysis Based on Quantitative EEG and Brain Network Characteristics.

Authors:  Huijin Huang; Zikang Niu; Gang Liu; Mengdi Jiang; Qingxia Jia; Xiaoli Li; Yingying Su
Journal:  Neurocrit Care       Date:  2020-07-23       Impact factor: 3.210

2.  Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury.

Authors:  Edilberto Amorim; Michelle van der Stoel; Sunil B Nagaraj; Mohammad M Ghassemi; Jin Jing; Una-May O'Reilly; Benjamin M Scirica; Jong Woo Lee; Sydney S Cash; M Brandon Westover
Journal:  Clin Neurophysiol       Date:  2019-07-25       Impact factor: 3.708

Review 3.  Recent applications of quantitative electroencephalography in adult intensive care units: a comprehensive review.

Authors:  Sung-Min Cho; Eva K Ritzl; Jaeho Hwang
Journal:  J Neurol       Date:  2022-08-19       Impact factor: 6.682

4.  Comatose Patients After Cardiopulmonary Resuscitation: An Analysis Based on Quantitative Methods of EEG Reactivity.

Authors:  Huijin Huang; Yingying Su; Zikang Niu; Gang Liu; Xiaoli Li; Mengdi Jiang
Journal:  Front Neurol       Date:  2022-06-03       Impact factor: 4.086

5.  Electroencephalographic reactivity as predictor of neurological outcome in postanoxic coma: A multicenter prospective cohort study.

Authors:  Marjolein M Admiraal; Anne-Fleur van Rootselaar; Jeannette Hofmeijer; Cornelia W E Hoedemaekers; Christiaan R van Kaam; Hanneke M Keijzer; Michel J A M van Putten; Marcus J Schultz; Janneke Horn
Journal:  Ann Neurol       Date:  2019-06-08       Impact factor: 10.422

  5 in total

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