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The Ischemic Stroke Predictive Risk Score Predicts Early Neurological Deterioration

 Young Dae Kim  ;  Hye-Yeon Choi  ;  Yo Han Jung  ;  Joonsang Yoo  ;  Hyo Suk Nam  ;  Dongbeom Song  ;  Ji Hoe Heo  ;  Gustavo Saposnik 
 Journal of Stroke and Cerebrovascular Diseases, Vol.25(4) : 819-824, 2016 
Journal Title
 Journal of Stroke and Cerebrovascular Diseases 
Issue Date
Aged ; Aged, 80 and over ; Brain Ischemia/complications* ; Female ; Humans ; Male ; Middle Aged ; Nervous System Diseases/diagnosis* ; Nervous System Diseases/etiology* ; Neurologic Examination ; Odds Ratio ; Predictive Value of Tests ; Retrospective Studies ; Severity of Illness Index ; Stroke/complications* ; Stroke/etiology*
Ischemic stroke ; outcome ; prediction ; risk score
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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1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Young Dae(김영대) ORCID logo https://orcid.org/0000-0001-5750-2616
Nam, Hyo Suk(남효석) ORCID logo https://orcid.org/0000-0002-4415-3995
Song, Dong Beom(송동범)
Yoo, Joon Sang(유준상)
Heo, Ji Hoe(허지회) ORCID logo https://orcid.org/0000-0001-9898-3321
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