TY - JOUR
T1 - The Ischemic Stroke Predictive Risk Score Predicts Early Neurological Deterioration
AU - Kim, Young Dae
AU - Choi, Hye Yeon
AU - Jung, Yo Han
AU - Yoo, Joonsang
AU - Nam, Hyo Suk
AU - Song, Dongbeom
AU - Heo, Ji Hoe
AU - Saposnik, Gustavo
N1 - Publisher Copyright:
© 2016 National Stroke Association.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Background Although early neurological deterioration (END) during the acute stroke period is known to be directly associated with poor short- and long-term outcomes, few studies have investigated the ability to predict END. The aim of this study was to investigate whether there are differences in the occurrence of END according to the ischemic stroke predictive risk score (iScore), which was developed to predict short- and long-term mortality. Methods We collected data from 2150 consecutive ischemic stroke patients who were admitted to 3 study hospitals between January 2012 and June 2014. END was defined as an increase (≥4) in the National Institutes of Health Stroke Scale score within the first 72 hours of stroke onset. We calculated the 30-day iScore for each patient to determine the relationship between the iScore and occurrence of END. Results Among 2150 patients, END was observed in 146 patients (6.8%). There was a positive correlation between the iScore and occurrence of END. After adjusting for potential confounders, the iScore was independently associated with END (odds ratio: 1.217 per 20-point increase in iScore, 95% confidence interval: 1.121-1.321, P <.001). There was good correlation between observed and expected outcomes predicted by the iScore (Pearson correlation coefficient: r =.950, P <.001). Conclusions The iScore can predict the risk of END development within the acute stroke stage.
AB - Background Although early neurological deterioration (END) during the acute stroke period is known to be directly associated with poor short- and long-term outcomes, few studies have investigated the ability to predict END. The aim of this study was to investigate whether there are differences in the occurrence of END according to the ischemic stroke predictive risk score (iScore), which was developed to predict short- and long-term mortality. Methods We collected data from 2150 consecutive ischemic stroke patients who were admitted to 3 study hospitals between January 2012 and June 2014. END was defined as an increase (≥4) in the National Institutes of Health Stroke Scale score within the first 72 hours of stroke onset. We calculated the 30-day iScore for each patient to determine the relationship between the iScore and occurrence of END. Results Among 2150 patients, END was observed in 146 patients (6.8%). There was a positive correlation between the iScore and occurrence of END. After adjusting for potential confounders, the iScore was independently associated with END (odds ratio: 1.217 per 20-point increase in iScore, 95% confidence interval: 1.121-1.321, P <.001). There was good correlation between observed and expected outcomes predicted by the iScore (Pearson correlation coefficient: r =.950, P <.001). Conclusions The iScore can predict the risk of END development within the acute stroke stage.
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U2 - 10.1016/j.jstrokecerebrovasdis.2015.12.003
DO - 10.1016/j.jstrokecerebrovasdis.2015.12.003
M3 - Article
C2 - 26796055
AN - SCOPUS:84956465348
VL - 25
SP - 819
EP - 824
JO - Journal of Stroke and Cerebrovascular Diseases
JF - Journal of Stroke and Cerebrovascular Diseases
SN - 1052-3057
IS - 4
ER -