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Electroencephalography (EEG) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design

BACKGROUND: Electroencephalography (EEG) is widely used to assess neurological prognosis in patients who are comatose after cardiac arrest, but its value is limited by varying definitions of pathological patterns and by inter-rater variability. The American Clinical Neurophysiology Society (ACNS) ha...

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Autores principales: Westhall, Erik, Rosén, Ingmar, Rossetti, Andrea O, van Rootselaar, Anne-Fleur, Kjaer, Troels Wesenberg, Horn, Janneke, Ullén, Susann, Friberg, Hans, Nielsen, Niklas, Cronberg, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440598/
https://www.ncbi.nlm.nih.gov/pubmed/25267568
http://dx.doi.org/10.1186/s12883-014-0159-2
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author Westhall, Erik
Rosén, Ingmar
Rossetti, Andrea O
van Rootselaar, Anne-Fleur
Kjaer, Troels Wesenberg
Horn, Janneke
Ullén, Susann
Friberg, Hans
Nielsen, Niklas
Cronberg, Tobias
author_facet Westhall, Erik
Rosén, Ingmar
Rossetti, Andrea O
van Rootselaar, Anne-Fleur
Kjaer, Troels Wesenberg
Horn, Janneke
Ullén, Susann
Friberg, Hans
Nielsen, Niklas
Cronberg, Tobias
author_sort Westhall, Erik
collection PubMed
description BACKGROUND: Electroencephalography (EEG) is widely used to assess neurological prognosis in patients who are comatose after cardiac arrest, but its value is limited by varying definitions of pathological patterns and by inter-rater variability. The American Clinical Neurophysiology Society (ACNS) has recently proposed a standardized EEG-terminology for critical care to address these limitations. In the Target Temperature Management (TTM) trial, a large international trial on temperature management after cardiac arrest, EEG-examinations were part of the prospective study design. The main objective of this study is to evaluate EEG-data from the TTM-trial and to identify malignant EEG-patterns reliably predicting a poor neurological outcome. METHODS/DESIGN: In the TTM-trial, 399 post cardiac arrest patients who remained comatose after rewarming underwent a routine EEG. The presence of clinical seizures, use of sedatives and antiepileptic drugs during the EEG-registration were prospectively documented. After the end of the trial, the EEGs were retrieved to form a central EEG-database. The EEG-data will be analysed using the ACNS EEG terminology. We designed an electronic case record form (eCRF). Four EEG-specialists from different countries, blinded to patient outcome, will independently classify the EEGs and report through the eCRF. We will describe the prognostic values of pre-specified EEG patterns to predict poor as well as good outcome. We hypothesise three patterns to always be associated with a poor outcome (suppressed background without discharges, suppressed background with continuous periodic discharges and burst-suppression). Inter- and intra-rater variability and whether sedation or level of temperature affects the prognostic values will also be analyzed. DISCUSSION: A well-defined terminology for interpreting post cardiac arrest EEGs is critical for the use of EEG as a prognostic tool. The results of this study may help to validate the ACNS terminology for assessing post cardiac arrest EEGs and identify patterns that could reliably predict outcome. TRIAL REGISTRATION: The TTM-trial is registered at ClinicalTrials.gov (NCT01020916).
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spelling pubmed-44405982015-05-22 Electroencephalography (EEG) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design Westhall, Erik Rosén, Ingmar Rossetti, Andrea O van Rootselaar, Anne-Fleur Kjaer, Troels Wesenberg Horn, Janneke Ullén, Susann Friberg, Hans Nielsen, Niklas Cronberg, Tobias BMC Neurol Study Protocol BACKGROUND: Electroencephalography (EEG) is widely used to assess neurological prognosis in patients who are comatose after cardiac arrest, but its value is limited by varying definitions of pathological patterns and by inter-rater variability. The American Clinical Neurophysiology Society (ACNS) has recently proposed a standardized EEG-terminology for critical care to address these limitations. In the Target Temperature Management (TTM) trial, a large international trial on temperature management after cardiac arrest, EEG-examinations were part of the prospective study design. The main objective of this study is to evaluate EEG-data from the TTM-trial and to identify malignant EEG-patterns reliably predicting a poor neurological outcome. METHODS/DESIGN: In the TTM-trial, 399 post cardiac arrest patients who remained comatose after rewarming underwent a routine EEG. The presence of clinical seizures, use of sedatives and antiepileptic drugs during the EEG-registration were prospectively documented. After the end of the trial, the EEGs were retrieved to form a central EEG-database. The EEG-data will be analysed using the ACNS EEG terminology. We designed an electronic case record form (eCRF). Four EEG-specialists from different countries, blinded to patient outcome, will independently classify the EEGs and report through the eCRF. We will describe the prognostic values of pre-specified EEG patterns to predict poor as well as good outcome. We hypothesise three patterns to always be associated with a poor outcome (suppressed background without discharges, suppressed background with continuous periodic discharges and burst-suppression). Inter- and intra-rater variability and whether sedation or level of temperature affects the prognostic values will also be analyzed. DISCUSSION: A well-defined terminology for interpreting post cardiac arrest EEGs is critical for the use of EEG as a prognostic tool. The results of this study may help to validate the ACNS terminology for assessing post cardiac arrest EEGs and identify patterns that could reliably predict outcome. TRIAL REGISTRATION: The TTM-trial is registered at ClinicalTrials.gov (NCT01020916). BioMed Central 2014-08-16 /pmc/articles/PMC4440598/ /pubmed/25267568 http://dx.doi.org/10.1186/s12883-014-0159-2 Text en © Westhall et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Study Protocol
Westhall, Erik
Rosén, Ingmar
Rossetti, Andrea O
van Rootselaar, Anne-Fleur
Kjaer, Troels Wesenberg
Horn, Janneke
Ullén, Susann
Friberg, Hans
Nielsen, Niklas
Cronberg, Tobias
Electroencephalography (EEG) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design
title Electroencephalography (EEG) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design
title_full Electroencephalography (EEG) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design
title_fullStr Electroencephalography (EEG) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design
title_full_unstemmed Electroencephalography (EEG) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design
title_short Electroencephalography (EEG) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design
title_sort electroencephalography (eeg) for neurological prognostication after cardiac arrest and targeted temperature management; rationale and study design
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440598/
https://www.ncbi.nlm.nih.gov/pubmed/25267568
http://dx.doi.org/10.1186/s12883-014-0159-2
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