iScore for predicting institutional care after ischemic stroke: a population-based study.

Background We assessed whether the iScore could predict the need for poststroke institutional care. Methods Patients with acute ischemic stroke living in Dijon, France, were recorded between 2006 and 2011, using a population-based stroke registry. The iScore was calculated for each patient. A logistic regression model was used to assess the performance of the iScore for predicting the need for placement in a care institution. The discrimination and calibration of the model were assessed using the c statistic and the Hosmer–Lemeshow goodness-of-fit test, respectively. Results Of the 1199 patients recorded, 124 were excluded because of early death and 95 because of missing for variables inclu…