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Etiologic subtype predicts outcome in mild stroke: prospective data from a hospital stroke registry

BACKGROUND: Few studies on whether etiologic subtype can predict outcome in mild stroke are available. The study aim to explore the effect of different etiologic subtype on prognosis of these patients. METHODS: We prospectively registered consecutive cases of acute ischemic stroke from September. 01...

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Autores principales: Hao, Zilong, Liu, Ming, Wang, Deren, Wu, Bo, Tao, Wendan, Chang, Xueli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015702/
https://www.ncbi.nlm.nih.gov/pubmed/24156360
http://dx.doi.org/10.1186/1471-2377-13-154
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author Hao, Zilong
Liu, Ming
Wang, Deren
Wu, Bo
Tao, Wendan
Chang, Xueli
author_facet Hao, Zilong
Liu, Ming
Wang, Deren
Wu, Bo
Tao, Wendan
Chang, Xueli
author_sort Hao, Zilong
collection PubMed
description BACKGROUND: Few studies on whether etiologic subtype can predict outcome in mild stroke are available. The study aim to explore the effect of different etiologic subtype on prognosis of these patients. METHODS: We prospectively registered consecutive cases of acute ischemic stroke from September. 01, 2009 to August. 31, 2011. Patients with National Institute of Health Stroke Scale (NIHSS) ≦3 and within 30 days of symptom onset were included. All cause death or disability (defined as modified Rankin Scale >2) were followed up at 3 months. The multivariate logistical regression model was used to analyse relationship between etiologic subtype and clinical outcomes. RESULTS: We included 680 cases, which accounted for 41.1% (680/1655) of the total registered cases. Mean age were 62.54 ± 13.51 years, and males were 65.4%. The median time of symptoms onset to admission was 72 hours. 3.8% (26/680) of cases admitted within 3 hours and 4.7% (32/680) admitted within 4.5 hours. However, no patient received intravenous thrombolysis. Of included patients, 21.5% large-artery atherosclerosis, 40.6% small-vessel disease, 7.5% cardioembolisms, 2.2% other causes and 28.2% undetermined causes. The rate of case fatality and death/disability was 2.2% and 10.1% respectively at 3 months. After adjustment of potential confounders, such as age, sex, NIHSS on admission and vascular risk factors et al., cardioembolism (RR = 3.395;95%CI 1.257 ~ 9.170) was the predictor of death or disability at 3 months and small vessel occlusion (RR = 0.412;95%CI 0.202 ~ 0.842) was the protective factor of death or disability at 3 months. CONCLUSION: Different etiologic subtype can predict the outcome in patients with mild stroke and it can help to stratify these patients for individual decision-making.
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spelling pubmed-40157022014-05-10 Etiologic subtype predicts outcome in mild stroke: prospective data from a hospital stroke registry Hao, Zilong Liu, Ming Wang, Deren Wu, Bo Tao, Wendan Chang, Xueli BMC Neurol Research Article BACKGROUND: Few studies on whether etiologic subtype can predict outcome in mild stroke are available. The study aim to explore the effect of different etiologic subtype on prognosis of these patients. METHODS: We prospectively registered consecutive cases of acute ischemic stroke from September. 01, 2009 to August. 31, 2011. Patients with National Institute of Health Stroke Scale (NIHSS) ≦3 and within 30 days of symptom onset were included. All cause death or disability (defined as modified Rankin Scale >2) were followed up at 3 months. The multivariate logistical regression model was used to analyse relationship between etiologic subtype and clinical outcomes. RESULTS: We included 680 cases, which accounted for 41.1% (680/1655) of the total registered cases. Mean age were 62.54 ± 13.51 years, and males were 65.4%. The median time of symptoms onset to admission was 72 hours. 3.8% (26/680) of cases admitted within 3 hours and 4.7% (32/680) admitted within 4.5 hours. However, no patient received intravenous thrombolysis. Of included patients, 21.5% large-artery atherosclerosis, 40.6% small-vessel disease, 7.5% cardioembolisms, 2.2% other causes and 28.2% undetermined causes. The rate of case fatality and death/disability was 2.2% and 10.1% respectively at 3 months. After adjustment of potential confounders, such as age, sex, NIHSS on admission and vascular risk factors et al., cardioembolism (RR = 3.395;95%CI 1.257 ~ 9.170) was the predictor of death or disability at 3 months and small vessel occlusion (RR = 0.412;95%CI 0.202 ~ 0.842) was the protective factor of death or disability at 3 months. CONCLUSION: Different etiologic subtype can predict the outcome in patients with mild stroke and it can help to stratify these patients for individual decision-making. BioMed Central 2013-10-24 /pmc/articles/PMC4015702/ /pubmed/24156360 http://dx.doi.org/10.1186/1471-2377-13-154 Text en Copyright © 2013 Hao et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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 Article
Hao, Zilong
Liu, Ming
Wang, Deren
Wu, Bo
Tao, Wendan
Chang, Xueli
Etiologic subtype predicts outcome in mild stroke: prospective data from a hospital stroke registry
title Etiologic subtype predicts outcome in mild stroke: prospective data from a hospital stroke registry
title_full Etiologic subtype predicts outcome in mild stroke: prospective data from a hospital stroke registry
title_fullStr Etiologic subtype predicts outcome in mild stroke: prospective data from a hospital stroke registry
title_full_unstemmed Etiologic subtype predicts outcome in mild stroke: prospective data from a hospital stroke registry
title_short Etiologic subtype predicts outcome in mild stroke: prospective data from a hospital stroke registry
title_sort etiologic subtype predicts outcome in mild stroke: prospective data from a hospital stroke registry
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015702/
https://www.ncbi.nlm.nih.gov/pubmed/24156360
http://dx.doi.org/10.1186/1471-2377-13-154
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