The predictive value of highly malignant EEG patterns after cardiac arrest: evaluation of the ERC-ESICM recommendations.
Turella, S
Dankiewicz, J
Friberg, H
Jakobsen, JC
Leithner, C
Levin, H
Lilja, G
Moseby-Knappe, M
Nielsen, N
Rossetti, AO
Sandroni, C
Zubler, F
Cronberg, T
Westhall, E
TTM2-trial investigators,
- Publisher:
- Springer Nature
- Publication Type:
- Journal Article
- Citation:
- Intensive Care Med, 2024, 50, (1), pp. 90-102
- Issue Date:
- 2024-01
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Turella, S | |
dc.contributor.author | Dankiewicz, J | |
dc.contributor.author | Friberg, H | |
dc.contributor.author | Jakobsen, JC | |
dc.contributor.author | Leithner, C | |
dc.contributor.author | Levin, H | |
dc.contributor.author | Lilja, G | |
dc.contributor.author | Moseby-Knappe, M | |
dc.contributor.author | Nielsen, N | |
dc.contributor.author | Rossetti, AO | |
dc.contributor.author | Sandroni, C | |
dc.contributor.author | Zubler, F | |
dc.contributor.author | Cronberg, T | |
dc.contributor.author | Westhall, E | |
dc.contributor.author | TTM2-trial investigators, | |
dc.date.accessioned | 2025-07-09T01:35:53Z | |
dc.date.available | 2023-11-14 | |
dc.date.available | 2025-07-09T01:35:53Z | |
dc.date.issued | 2024-01 | |
dc.identifier.citation | Intensive Care Med, 2024, 50, (1), pp. 90-102 | |
dc.identifier.issn | 0342-4642 | |
dc.identifier.issn | 1432-1238 | |
dc.identifier.uri | http://hdl.handle.net/10453/188121 | |
dc.description.abstract | PURPOSE: The 2021 guidelines endorsed by the European Resuscitation Council (ERC) and the European Society of Intensive Care Medicine (ESICM) recommend using highly malignant electroencephalogram (EEG) patterns (HMEP; suppression or burst-suppression) at > 24 h after cardiac arrest (CA) in combination with at least one other concordant predictor to prognosticate poor neurological outcome. We evaluated the prognostic accuracy of HMEP in a large multicentre cohort and investigated the added value of absent EEG reactivity. METHODS: This is a pre-planned prognostic substudy of the Targeted Temperature Management trial 2. The presence of HMEP and background reactivity to external stimuli on EEG recorded > 24 h after CA was prospectively reported. Poor outcome was measured at 6 months and defined as a modified Rankin Scale score of 4-6. Prognostication was multimodal, and withdrawal of life-sustaining therapy (WLST) was not allowed before 96 h after CA. RESULTS: 845 patients at 59 sites were included. Of these, 579 (69%) had poor outcome, including 304 (36%) with WLST due to poor neurological prognosis. EEG was recorded at a median of 71 h (interquartile range [IQR] 52-93) after CA. HMEP at > 24 h from CA had 50% [95% confidence interval [CI] 46-54] sensitivity and 93% [90-96] specificity to predict poor outcome. Specificity was similar (93%) in 541 patients without WLST. When HMEP were unreactive, specificity improved to 97% [94-99] (p = 0.008). CONCLUSION: The specificity of the ERC-ESICM-recommended EEG patterns for predicting poor outcome after CA exceeds 90% but is lower than in previous studies, suggesting that large-scale implementation may reduce their accuracy. Combining HMEP with an unreactive EEG background significantly improved specificity. As in other prognostication studies, a self-fulfilling prophecy bias may have contributed to observed results. | |
dc.format | Print-Electronic | |
dc.language | eng | |
dc.publisher | Springer Nature | |
dc.relation.ispartof | Intensive Care Med | |
dc.relation.isbasedon | 10.1007/s00134-023-07280-9 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 1103 Clinical Sciences, 1117 Public Health and Health Services | |
dc.subject.classification | Emergency & Critical Care Medicine | |
dc.subject.classification | 3202 Clinical sciences | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Cardiopulmonary Resuscitation | |
dc.subject.mesh | Critical Care | |
dc.subject.mesh | Electroencephalography | |
dc.subject.mesh | Heart Arrest | |
dc.subject.mesh | Hypothermia, Induced | |
dc.subject.mesh | Prognosis | |
dc.subject.mesh | Clinical Trials as Topic | |
dc.subject.mesh | Multicenter Studies as Topic | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Heart Arrest | |
dc.subject.mesh | Electroencephalography | |
dc.subject.mesh | Prognosis | |
dc.subject.mesh | Cardiopulmonary Resuscitation | |
dc.subject.mesh | Critical Care | |
dc.subject.mesh | Hypothermia, Induced | |
dc.subject.mesh | Clinical Trials as Topic | |
dc.subject.mesh | Multicenter Studies as Topic | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Cardiopulmonary Resuscitation | |
dc.subject.mesh | Critical Care | |
dc.subject.mesh | Electroencephalography | |
dc.subject.mesh | Heart Arrest | |
dc.subject.mesh | Hypothermia, Induced | |
dc.subject.mesh | Prognosis | |
dc.subject.mesh | Clinical Trials as Topic | |
dc.subject.mesh | Multicenter Studies as Topic | |
dc.title | The predictive value of highly malignant EEG patterns after cardiac arrest: evaluation of the ERC-ESICM recommendations. | |
dc.type | Journal Article | |
utslib.citation.volume | 50 | |
utslib.location.activity | United States | |
utslib.for | 1103 Clinical Sciences | |
utslib.for | 1117 Public Health and Health Services | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | University of Technology Sydney/Faculty of Health/School of Nursing and Midwifery | |
utslib.copyright.status | open_access | * |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.date.updated | 2025-07-09T01:35:50Z | |
pubs.issue | 1 | |
pubs.publication-status | Published | |
pubs.volume | 50 | |
utslib.citation.issue | 1 |
Abstract:
PURPOSE: The 2021 guidelines endorsed by the European Resuscitation Council (ERC) and the European Society of Intensive Care Medicine (ESICM) recommend using highly malignant electroencephalogram (EEG) patterns (HMEP; suppression or burst-suppression) at > 24 h after cardiac arrest (CA) in combination with at least one other concordant predictor to prognosticate poor neurological outcome. We evaluated the prognostic accuracy of HMEP in a large multicentre cohort and investigated the added value of absent EEG reactivity. METHODS: This is a pre-planned prognostic substudy of the Targeted Temperature Management trial 2. The presence of HMEP and background reactivity to external stimuli on EEG recorded > 24 h after CA was prospectively reported. Poor outcome was measured at 6 months and defined as a modified Rankin Scale score of 4-6. Prognostication was multimodal, and withdrawal of life-sustaining therapy (WLST) was not allowed before 96 h after CA. RESULTS: 845 patients at 59 sites were included. Of these, 579 (69%) had poor outcome, including 304 (36%) with WLST due to poor neurological prognosis. EEG was recorded at a median of 71 h (interquartile range [IQR] 52-93) after CA. HMEP at > 24 h from CA had 50% [95% confidence interval [CI] 46-54] sensitivity and 93% [90-96] specificity to predict poor outcome. Specificity was similar (93%) in 541 patients without WLST. When HMEP were unreactive, specificity improved to 97% [94-99] (p = 0.008). CONCLUSION: The specificity of the ERC-ESICM-recommended EEG patterns for predicting poor outcome after CA exceeds 90% but is lower than in previous studies, suggesting that large-scale implementation may reduce their accuracy. Combining HMEP with an unreactive EEG background significantly improved specificity. As in other prognostication studies, a self-fulfilling prophecy bias may have contributed to observed results.
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