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Development of a simple score to predict outcome for unresponsive wakefulness syndrome

INTRODUCTION: Accurate assessment of prognosis for patients with unresponsive wakefulness syndrome (UWS; formerly vegetative state) may help clinicians and families guide the type and intensity of therapy; however, there is no suitable and accurate means to predict the outcome so far. We aimed to de...

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Autores principales: Kang, Xiao-gang, Li, Li, Wei, Dong, Xu, Xiao-xia, Zhao, Rui, Jing, Yun-yun, Su, Ying-ying, Xiong, Li-ze, Zhao, Gang, Jiang, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4056750/
https://www.ncbi.nlm.nih.gov/pubmed/24571596
http://dx.doi.org/10.1186/cc13745
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author Kang, Xiao-gang
Li, Li
Wei, Dong
Xu, Xiao-xia
Zhao, Rui
Jing, Yun-yun
Su, Ying-ying
Xiong, Li-ze
Zhao, Gang
Jiang, Wen
author_facet Kang, Xiao-gang
Li, Li
Wei, Dong
Xu, Xiao-xia
Zhao, Rui
Jing, Yun-yun
Su, Ying-ying
Xiong, Li-ze
Zhao, Gang
Jiang, Wen
author_sort Kang, Xiao-gang
collection PubMed
description INTRODUCTION: Accurate assessment of prognosis for patients with unresponsive wakefulness syndrome (UWS; formerly vegetative state) may help clinicians and families guide the type and intensity of therapy; however, there is no suitable and accurate means to predict the outcome so far. We aimed to develop a simple bedside scoring system to predict the likelihood of awareness recovery in patients with UWS. METHODS: We prospectively enrolled 56 patients (age range 10 to 73 years) with UWS 3 to 12 weeks post-onset. We collected demographic data and performed neurological, serological and neurophysiological tests at study entry. Each patient received a one year follow-up, during which awareness recovery was assessed by experienced physicians on the basis of clinical criteria. Univariate and multivariable analyses were employed to assess the relationships between predictors and awareness recovery. RESULTS: A total of 56 participants were included in the study; of these, 24 patients recovered awareness, 3 with moderate disabilities, 8 with severe disabilities, 12 were in a minimally conscious state, and 1 died after recovery. During the study, 23 patients remained in UWS and 9 died in UWS. Motor response, type of brain injury, electroencephalogram reactivity, sleep spindles and N20 were shown to be independent predictors for awareness recovery. Based on their coefficients in the model, we assigned these predictors with 1 point each and created a 5-point score for prediction of awareness recovery. The resulting score showed good predictive accuracy in the derivation cohort. The area under the receiver operating characteristic curve for the score was 0.918 with 87.50% sensitivity. CONCLUSION: This simple bedside prognostic score can be used to predict the probability of awareness recovery in UWS, thus provide families and clinicians with useful outcome information.
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spelling pubmed-40567502014-06-14 Development of a simple score to predict outcome for unresponsive wakefulness syndrome Kang, Xiao-gang Li, Li Wei, Dong Xu, Xiao-xia Zhao, Rui Jing, Yun-yun Su, Ying-ying Xiong, Li-ze Zhao, Gang Jiang, Wen Crit Care Research INTRODUCTION: Accurate assessment of prognosis for patients with unresponsive wakefulness syndrome (UWS; formerly vegetative state) may help clinicians and families guide the type and intensity of therapy; however, there is no suitable and accurate means to predict the outcome so far. We aimed to develop a simple bedside scoring system to predict the likelihood of awareness recovery in patients with UWS. METHODS: We prospectively enrolled 56 patients (age range 10 to 73 years) with UWS 3 to 12 weeks post-onset. We collected demographic data and performed neurological, serological and neurophysiological tests at study entry. Each patient received a one year follow-up, during which awareness recovery was assessed by experienced physicians on the basis of clinical criteria. Univariate and multivariable analyses were employed to assess the relationships between predictors and awareness recovery. RESULTS: A total of 56 participants were included in the study; of these, 24 patients recovered awareness, 3 with moderate disabilities, 8 with severe disabilities, 12 were in a minimally conscious state, and 1 died after recovery. During the study, 23 patients remained in UWS and 9 died in UWS. Motor response, type of brain injury, electroencephalogram reactivity, sleep spindles and N20 were shown to be independent predictors for awareness recovery. Based on their coefficients in the model, we assigned these predictors with 1 point each and created a 5-point score for prediction of awareness recovery. The resulting score showed good predictive accuracy in the derivation cohort. The area under the receiver operating characteristic curve for the score was 0.918 with 87.50% sensitivity. CONCLUSION: This simple bedside prognostic score can be used to predict the probability of awareness recovery in UWS, thus provide families and clinicians with useful outcome information. BioMed Central 2014-02-26 2014 /pmc/articles/PMC4056750/ /pubmed/24571596 http://dx.doi.org/10.1186/cc13745 Text en © Kang et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Kang, Xiao-gang
Li, Li
Wei, Dong
Xu, Xiao-xia
Zhao, Rui
Jing, Yun-yun
Su, Ying-ying
Xiong, Li-ze
Zhao, Gang
Jiang, Wen
Development of a simple score to predict outcome for unresponsive wakefulness syndrome
title Development of a simple score to predict outcome for unresponsive wakefulness syndrome
title_full Development of a simple score to predict outcome for unresponsive wakefulness syndrome
title_fullStr Development of a simple score to predict outcome for unresponsive wakefulness syndrome
title_full_unstemmed Development of a simple score to predict outcome for unresponsive wakefulness syndrome
title_short Development of a simple score to predict outcome for unresponsive wakefulness syndrome
title_sort development of a simple score to predict outcome for unresponsive wakefulness syndrome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4056750/
https://www.ncbi.nlm.nih.gov/pubmed/24571596
http://dx.doi.org/10.1186/cc13745
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