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Clinical neurophysiology for neurological prognostication of comatose patients after cardiac arrest

Early prognostication of outcome in comatose patients after cardiac arrest represents a daunting task for clinicians, also considering the nowadays commonly used targeted temperature management with sedation in the first 24–48 h. A multimodal approach is currently recommended, in order to minimize t...

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Autor principal: Rossetti, Andrea O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123903/
https://www.ncbi.nlm.nih.gov/pubmed/30214976
http://dx.doi.org/10.1016/j.cnp.2017.03.001
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author Rossetti, Andrea O.
author_facet Rossetti, Andrea O.
author_sort Rossetti, Andrea O.
collection PubMed
description Early prognostication of outcome in comatose patients after cardiac arrest represents a daunting task for clinicians, also considering the nowadays commonly used targeted temperature management with sedation in the first 24–48 h. A multimodal approach is currently recommended, in order to minimize the risks of false-positive prediction of poor outcome, including clinical examination off sedation, EEG (background characterization and reactivity, occurrence of repetitive epileptiform features), and early-latency SSEP responses represent the core assessments in this setting; they may be complemented by biochemical markers and neuroimaging. This paper, which relies on a recent comprehensive review, focuses on an updated review of EEG and SSEP, and also offers some outlook into long-latency evoked potentials, which seem promising in clinical use.
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spelling pubmed-61239032018-09-13 Clinical neurophysiology for neurological prognostication of comatose patients after cardiac arrest Rossetti, Andrea O. Clin Neurophysiol Pract Reviews, Expert Opinions and Guideline Early prognostication of outcome in comatose patients after cardiac arrest represents a daunting task for clinicians, also considering the nowadays commonly used targeted temperature management with sedation in the first 24–48 h. A multimodal approach is currently recommended, in order to minimize the risks of false-positive prediction of poor outcome, including clinical examination off sedation, EEG (background characterization and reactivity, occurrence of repetitive epileptiform features), and early-latency SSEP responses represent the core assessments in this setting; they may be complemented by biochemical markers and neuroimaging. This paper, which relies on a recent comprehensive review, focuses on an updated review of EEG and SSEP, and also offers some outlook into long-latency evoked potentials, which seem promising in clinical use. Elsevier 2017-03-20 /pmc/articles/PMC6123903/ /pubmed/30214976 http://dx.doi.org/10.1016/j.cnp.2017.03.001 Text en © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Reviews, Expert Opinions and Guideline
Rossetti, Andrea O.
Clinical neurophysiology for neurological prognostication of comatose patients after cardiac arrest
title Clinical neurophysiology for neurological prognostication of comatose patients after cardiac arrest
title_full Clinical neurophysiology for neurological prognostication of comatose patients after cardiac arrest
title_fullStr Clinical neurophysiology for neurological prognostication of comatose patients after cardiac arrest
title_full_unstemmed Clinical neurophysiology for neurological prognostication of comatose patients after cardiac arrest
title_short Clinical neurophysiology for neurological prognostication of comatose patients after cardiac arrest
title_sort clinical neurophysiology for neurological prognostication of comatose patients after cardiac arrest
topic Reviews, Expert Opinions and Guideline
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123903/
https://www.ncbi.nlm.nih.gov/pubmed/30214976
http://dx.doi.org/10.1016/j.cnp.2017.03.001
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