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How do we identify the crashing traumatic brain injury patient – the intensivist's view
PURPOSE OF REVIEW: Over 40% of patients with severe traumatic brain injury (TBI) show clinically significant neurological worsening within the acute admission period. This review addresses the importance of identifying the crashing TBI patient, the difficulties appreciating clinical neurological det...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240643/ https://www.ncbi.nlm.nih.gov/pubmed/33852501 http://dx.doi.org/10.1097/MCC.0000000000000825 |
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author | McCredie, Victoria A. Chavarría, Javier Baker, Andrew J. |
author_facet | McCredie, Victoria A. Chavarría, Javier Baker, Andrew J. |
author_sort | McCredie, Victoria A. |
collection | PubMed |
description | PURPOSE OF REVIEW: Over 40% of patients with severe traumatic brain injury (TBI) show clinically significant neurological worsening within the acute admission period. This review addresses the importance of identifying the crashing TBI patient, the difficulties appreciating clinical neurological deterioration in the comatose patient and how neuromonitoring may provide continuous real-time ancillary information to detect physiologic worsening. RECENT FINDINGS: The latest editions of the Brain Trauma Foundation's Guidelines omitted management algorithms for adult patients with severe TBI. Subsequently, three consensus-based management algorithms were published using a Delphi method approach to provide a bridge between the evidence-based guidelines and integration of the individual treatment modalities at the bedside. These consensus statements highlight the serious situation of critical deterioration requiring emergent evaluation and guidance on sedation holds to obtain a neurological examination while balancing the potential risks of inducing a stress response. SUMMARY: One of the central tenets of neurocritical care is to detect the brain in trouble. The first and most fundamental neurological monitoring tool is the clinical exam. Ancillary neuromonitoring data may provide early physiologic biomarkers to help anticipate, prevent or halt secondary brain injury processes. Future research should seek to understand how data integration and visualization technologies may reduce the cognitive workload to improve timely detection of neurological deterioration. |
format | Online Article Text |
id | pubmed-8240643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-82406432021-07-06 How do we identify the crashing traumatic brain injury patient – the intensivist's view McCredie, Victoria A. Chavarría, Javier Baker, Andrew J. Curr Opin Crit Care Special Commentary PURPOSE OF REVIEW: Over 40% of patients with severe traumatic brain injury (TBI) show clinically significant neurological worsening within the acute admission period. This review addresses the importance of identifying the crashing TBI patient, the difficulties appreciating clinical neurological deterioration in the comatose patient and how neuromonitoring may provide continuous real-time ancillary information to detect physiologic worsening. RECENT FINDINGS: The latest editions of the Brain Trauma Foundation's Guidelines omitted management algorithms for adult patients with severe TBI. Subsequently, three consensus-based management algorithms were published using a Delphi method approach to provide a bridge between the evidence-based guidelines and integration of the individual treatment modalities at the bedside. These consensus statements highlight the serious situation of critical deterioration requiring emergent evaluation and guidance on sedation holds to obtain a neurological examination while balancing the potential risks of inducing a stress response. SUMMARY: One of the central tenets of neurocritical care is to detect the brain in trouble. The first and most fundamental neurological monitoring tool is the clinical exam. Ancillary neuromonitoring data may provide early physiologic biomarkers to help anticipate, prevent or halt secondary brain injury processes. Future research should seek to understand how data integration and visualization technologies may reduce the cognitive workload to improve timely detection of neurological deterioration. Lippincott Williams & Wilkins 2021-06 2021-04-14 /pmc/articles/PMC8240643/ /pubmed/33852501 http://dx.doi.org/10.1097/MCC.0000000000000825 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Special Commentary McCredie, Victoria A. Chavarría, Javier Baker, Andrew J. How do we identify the crashing traumatic brain injury patient – the intensivist's view |
title | How do we identify the crashing traumatic brain injury patient – the intensivist's view |
title_full | How do we identify the crashing traumatic brain injury patient – the intensivist's view |
title_fullStr | How do we identify the crashing traumatic brain injury patient – the intensivist's view |
title_full_unstemmed | How do we identify the crashing traumatic brain injury patient – the intensivist's view |
title_short | How do we identify the crashing traumatic brain injury patient – the intensivist's view |
title_sort | how do we identify the crashing traumatic brain injury patient – the intensivist's view |
topic | Special Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240643/ https://www.ncbi.nlm.nih.gov/pubmed/33852501 http://dx.doi.org/10.1097/MCC.0000000000000825 |
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