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Clinical application of recommendations for neurobehavioral assessment in disorders of consciousness: an interdisciplinary approach
Accurate diagnosis, prognosis, and subsequent rehabilitation care planning for persons with Disorders of Consciousness (DoC) has historically posed a challenge for neurological care professionals. Evidence suggests rates of misdiagnosis may be as high as 40% when informal beside evaluations are used...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368884/ https://www.ncbi.nlm.nih.gov/pubmed/37502093 http://dx.doi.org/10.3389/fnhum.2023.1129466 |
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author | Murtaugh, Brooke Shapiro Rosenbaum, Amy |
author_facet | Murtaugh, Brooke Shapiro Rosenbaum, Amy |
author_sort | Murtaugh, Brooke |
collection | PubMed |
description | Accurate diagnosis, prognosis, and subsequent rehabilitation care planning for persons with Disorders of Consciousness (DoC) has historically posed a challenge for neurological care professionals. Evidence suggests rates of misdiagnosis may be as high as 40% when informal beside evaluations are used to determine level of consciousness. The presence of myriad medical, neurological, functional (motor, sensory, cognitive) and environmental confounds germane to these conditions complicates behavioral assessment. Achieving diagnostic certainty is elusive but critical to inform care planning, clinical decision making, and prognostication. Standardized neurobehavioral rating scales has been shown to improve accuracy in distinguishing between coma, unresponsive wakefulness syndrome/vegetative state and minimally consciousness state as compared to informal assessment methods. Thus, these scales are currently recommended for use as the informal “gold standard” for diagnostic assessment in DoC. The following paper will present an evidence-based approach to neurobehavioral assessment for use in clinical practice. Strategies for optimizing assessment and aiding in identification and management of confounds that can limit diagnostic accuracy will be provided. Finally, clinical application of an interdisciplinary approach to identifying and managing confounds will be discussed and how assessment results can be used to identify trends in performance and guide prognostic counseling with families. |
format | Online Article Text |
id | pubmed-10368884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103688842023-07-27 Clinical application of recommendations for neurobehavioral assessment in disorders of consciousness: an interdisciplinary approach Murtaugh, Brooke Shapiro Rosenbaum, Amy Front Hum Neurosci Neuroscience Accurate diagnosis, prognosis, and subsequent rehabilitation care planning for persons with Disorders of Consciousness (DoC) has historically posed a challenge for neurological care professionals. Evidence suggests rates of misdiagnosis may be as high as 40% when informal beside evaluations are used to determine level of consciousness. The presence of myriad medical, neurological, functional (motor, sensory, cognitive) and environmental confounds germane to these conditions complicates behavioral assessment. Achieving diagnostic certainty is elusive but critical to inform care planning, clinical decision making, and prognostication. Standardized neurobehavioral rating scales has been shown to improve accuracy in distinguishing between coma, unresponsive wakefulness syndrome/vegetative state and minimally consciousness state as compared to informal assessment methods. Thus, these scales are currently recommended for use as the informal “gold standard” for diagnostic assessment in DoC. The following paper will present an evidence-based approach to neurobehavioral assessment for use in clinical practice. Strategies for optimizing assessment and aiding in identification and management of confounds that can limit diagnostic accuracy will be provided. Finally, clinical application of an interdisciplinary approach to identifying and managing confounds will be discussed and how assessment results can be used to identify trends in performance and guide prognostic counseling with families. Frontiers Media S.A. 2023-07-12 /pmc/articles/PMC10368884/ /pubmed/37502093 http://dx.doi.org/10.3389/fnhum.2023.1129466 Text en Copyright © 2023 Murtaugh and Shapiro Rosenbaum. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Murtaugh, Brooke Shapiro Rosenbaum, Amy Clinical application of recommendations for neurobehavioral assessment in disorders of consciousness: an interdisciplinary approach |
title | Clinical application of recommendations for neurobehavioral assessment in disorders of consciousness: an interdisciplinary approach |
title_full | Clinical application of recommendations for neurobehavioral assessment in disorders of consciousness: an interdisciplinary approach |
title_fullStr | Clinical application of recommendations for neurobehavioral assessment in disorders of consciousness: an interdisciplinary approach |
title_full_unstemmed | Clinical application of recommendations for neurobehavioral assessment in disorders of consciousness: an interdisciplinary approach |
title_short | Clinical application of recommendations for neurobehavioral assessment in disorders of consciousness: an interdisciplinary approach |
title_sort | clinical application of recommendations for neurobehavioral assessment in disorders of consciousness: an interdisciplinary approach |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368884/ https://www.ncbi.nlm.nih.gov/pubmed/37502093 http://dx.doi.org/10.3389/fnhum.2023.1129466 |
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