基于实践指南-卒中项目数据的危险评分可用于中国急性缺血性卒中患者

Background and Purpose-There are few validated models for prediction of in-hospital mortality after acute ischemic stroke. In 2010, Smith et al developed and internally validated models for predicting in-hospital mortality based on Get With the Guidelines-Stroke program data. We demonstrate the applicability of this Get With the Guidelines risk model in Chinese patients. Methods-The prognostic model was used to predict survival in 7015 patients with acute ischemic stroke from China National Stroke Registry data set. Model discrimination was quantified by calculating C statistic. To clarify the role of National Institutes of Health Stroke Scale (NIHSS), we also calculated the C statistics for NIHSS alone and for the model without NIHSS. Results-The C statistic was 0.867 (95% CI, 0.839-0.895) through the Get With the Guidelines risk model, suggesting good discrimination in the China National Stroke Registry. The model without NIHSS produced significantly lower C statistic (0.735; 95% CI, 0.701-0.770; P<0.001), indicating the important role of NIHSS in the prediction of survival. Furthermore, a model with NIHSS alone also provided significant discrimination (C statistic, 0.847; 95% CI, 0.816-0.879). A plot of observed versus predicted mortality showed excellent model calibration in the external validation sample from the China National Stroke Registry. Conclusions-The Get With the Guidelines risk model could correctly predict in-hospital mortality in Chinese patients with ischemic stroke. In addition, the NIHSS provides substantial incremental information on a patient's short-term mortality risk and is the strongest predictor of mortality. © 2012 American Heart Association, Inc.

Department of Neurology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Chengdu, 610041, Sichuan