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

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)819-824
Number of pages6
JournalJournal of Stroke and Cerebrovascular Diseases
Volume25
Issue number4
DOIs
Publication statusPublished - 2016 Apr 1

All Science Journal Classification (ASJC) codes

  • Surgery
  • Rehabilitation
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

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