BACKGROUND: Disability and mortality represent the most relevant clinical 
outcomes after acute ischemic stroke. Recently, a number of prognostic models of 
acute ischemic stroke have been developed, but they have not been extensively 
validated. In this study, we evaluated the ability of 3 prognostic models 
including the iScore, the PLAN score, and the ASTRAL score in predicting 
clinical poor outcomes or mortality at 6 months in patients with acute ischemic 
stroke.
METHODS: A total of 323 patients were divided into a good-prognosis group and a 
poor-prognosis group based on the modified Rankin Scale. Model discrimination 
was quantified by calculating the area under the receiver operating 
characteristic (ROC) curve, and calibration was assessed by Hosmer-Lemeshow 
goodness of fit test and Pearson correlation coefficient.
RESULTS: We identified 96 (29.7%) patients with poor prognosis, including 21 who 
were dead. All 3 models showed good ability in predicting poor prognosis and 
mortality in patients with acute ischemic stroke (all ROC > .70). There was no 
difference between these 3 models in terms of sensitivity and accuracy (all 
P > .05).
CONCLUSIONS: The results of this study suggest that the iScore, the PLAN score, 
and the ASTRAL score were equal in predicting 6-month poor prognosis and 
mortality in patients with acute ischemic stroke. Overall, there was a very high 
correlation between observed and expected outcomes at the risk score level.