BACKGROUND: Although early @entity16 (END) during the @entity64 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 @entity385 predictive risk score (iScore), which was developed to predict short- and long-term mortality. METHODS: We collected data from 2150 consecutive @entity385 @entity1 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 @entity64 onset. We calculated the 30-day iScore for each @entity1 to determine the relationship between the iScore and occurrence of END. RESULTS: Among 2150 @entity1 , END was observed in 146 @entity1 (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 @entity64 .

The XXXX Predictive Risk Score Predicts Early Neurological Deterioration.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity16 :: ('MESH:D009422', 'Disease') :: ['neurological deterioration'] @entity64 :: ('MESH:D020521', 'Disease') :: ['acute stroke stage', 'stroke', 'acute stroke'] @entity385 :: ('MESH:D002544', 'Disease') :: ['ischemic stroke']
@entity385 :: (MESH:D002544,Disease) :: ['Ischemic Stroke']
