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Early Neurologic Deterioration after Stroke Depends on Vascular Territory and Stroke Etiology

BACKGROUND AND PURPOSE: Early neurologic deterioration (END) occurs in up to one-third of patients with ischemic stroke and is associated with poor outcomes. The purpose of the present study was to determine which stroke etiologies and vascular distributions pose a greater threat of END in stroke pa...

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Autores principales: Siegler, James E., Samai, Alyana, Semmes, Eleanor, Martin-Schild, Sheryl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Stroke Society 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4901951/
https://www.ncbi.nlm.nih.gov/pubmed/27283280
http://dx.doi.org/10.5853/jos.2016.00073
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author Siegler, James E.
Samai, Alyana
Semmes, Eleanor
Martin-Schild, Sheryl
author_facet Siegler, James E.
Samai, Alyana
Semmes, Eleanor
Martin-Schild, Sheryl
author_sort Siegler, James E.
collection PubMed
description BACKGROUND AND PURPOSE: Early neurologic deterioration (END) occurs in up to one-third of patients with ischemic stroke and is associated with poor outcomes. The purpose of the present study was to determine which stroke etiologies and vascular distributions pose a greater threat of END in stroke patients. METHODS: Using a single-center registry of prospectively maintained clinical data, adult ischemic stroke patients admitted (July 2008 to June 2014) within 48 hours of symptom onset were evaluated according to stroke etiology and vascular distribution using diffusion-weighted MRI. Major stroke etiologies were divided into cardioembolic, large vessel, small vessel, other, unknown source, and multiple possible etiologies. END was defined as a worsening of 2 or more points on the National Institutes of Health Stroke Scale during a 24-hour period of hospitalization. Crude and backward stepwise regression models were generated to associate stroke etiology and vascular distribution with END. RESULTS: Of the included 961 patients (median age 65 years, 47% female, 72% non-White), 323 (34%) experienced END. Strokes involving the internal carotid artery (ICA) were associated with a threefold higher odds of END in stepwise regression models (OR 3.0, 95% CI 1.4-6.6, P=0.006). Among stroke etiologies, those with unclear mechanisms had the lowest odds of END in the fully adjusted model (OR 0.6, 95% CI 0.4-1.0, P=0.029). CONCLUSIONS: In our single-center cohort of patients, ICA infarctions were independently associated with END whereas strokes of unknown etiology were least often associated with END. Larger cohorts are necessary to determine which steps, if any, can be taken to prevent END in these vulnerable populations.
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spelling pubmed-49019512016-06-14 Early Neurologic Deterioration after Stroke Depends on Vascular Territory and Stroke Etiology Siegler, James E. Samai, Alyana Semmes, Eleanor Martin-Schild, Sheryl J Stroke Original Article BACKGROUND AND PURPOSE: Early neurologic deterioration (END) occurs in up to one-third of patients with ischemic stroke and is associated with poor outcomes. The purpose of the present study was to determine which stroke etiologies and vascular distributions pose a greater threat of END in stroke patients. METHODS: Using a single-center registry of prospectively maintained clinical data, adult ischemic stroke patients admitted (July 2008 to June 2014) within 48 hours of symptom onset were evaluated according to stroke etiology and vascular distribution using diffusion-weighted MRI. Major stroke etiologies were divided into cardioembolic, large vessel, small vessel, other, unknown source, and multiple possible etiologies. END was defined as a worsening of 2 or more points on the National Institutes of Health Stroke Scale during a 24-hour period of hospitalization. Crude and backward stepwise regression models were generated to associate stroke etiology and vascular distribution with END. RESULTS: Of the included 961 patients (median age 65 years, 47% female, 72% non-White), 323 (34%) experienced END. Strokes involving the internal carotid artery (ICA) were associated with a threefold higher odds of END in stepwise regression models (OR 3.0, 95% CI 1.4-6.6, P=0.006). Among stroke etiologies, those with unclear mechanisms had the lowest odds of END in the fully adjusted model (OR 0.6, 95% CI 0.4-1.0, P=0.029). CONCLUSIONS: In our single-center cohort of patients, ICA infarctions were independently associated with END whereas strokes of unknown etiology were least often associated with END. Larger cohorts are necessary to determine which steps, if any, can be taken to prevent END in these vulnerable populations. Korean Stroke Society 2016-05 2016-05-31 /pmc/articles/PMC4901951/ /pubmed/27283280 http://dx.doi.org/10.5853/jos.2016.00073 Text en Copyright © 2016 Korean Stroke Society This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Siegler, James E.
Samai, Alyana
Semmes, Eleanor
Martin-Schild, Sheryl
Early Neurologic Deterioration after Stroke Depends on Vascular Territory and Stroke Etiology
title Early Neurologic Deterioration after Stroke Depends on Vascular Territory and Stroke Etiology
title_full Early Neurologic Deterioration after Stroke Depends on Vascular Territory and Stroke Etiology
title_fullStr Early Neurologic Deterioration after Stroke Depends on Vascular Territory and Stroke Etiology
title_full_unstemmed Early Neurologic Deterioration after Stroke Depends on Vascular Territory and Stroke Etiology
title_short Early Neurologic Deterioration after Stroke Depends on Vascular Territory and Stroke Etiology
title_sort early neurologic deterioration after stroke depends on vascular territory and stroke etiology
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4901951/
https://www.ncbi.nlm.nih.gov/pubmed/27283280
http://dx.doi.org/10.5853/jos.2016.00073
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