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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Wang, Yilong Guo, Li Zhang, Guohua Fang, Jiming Pan, Yuesong Liu, Gaifen Zhao, Xingquan Wang, Yongjun Zhang, Ning |
| Spatial Coverage | China |
| Description | Country affiliation: China Author Affiliation: Zhang N ( Department of Neurology, The Second Hospital, Hebei Medical University, Shi Jiazhuang, Hebei Province, China.) |
| Abstract | BACKGROUND AND PURPOSE: The iScore is a prediction tool developed to estimate the risk of death in patients after hospitalization for an acute ischemic stroke. Our aim was to determine the accuracy of the iScore in patients with ischemic stroke in China. METHODS: The iScore was used to predict 30-day mortality rate in 11 656 patients and 1-year mortality rate in 11 051 patients with acute ischemic stroke. These patients were identified from the China National Stroke Registry (CNSR) data set. Model discrimination was quantified by calculating the C statistic. The calibration was assessed using Pearson correlation coefficient. RESULTS: The 30-day and 1-year mortality rates were 5.4% and 14.3%, respectively. The C statistics were 0.825 (95% confidence interval, 0.807-0.843) for 30-day mortality and 0.822 (95% confidence interval, 0.810-0.833) for 1-year mortality. The plots of observed versus predicted mortality rates showed excellent model calibration in the external validation samples from the CNSR (Pearson correlation coefficient, 0.925 for 30-day and 0.998 for 1-year mortality; both P<0.0001). CONCLUSIONS: The iScore reliably predicts 30-day and 1-year mortality in Chinese patients with ischemic stroke. |
| ISSN | 00392499 |
| e-ISSN | 15244628 |
| Journal | Stroke |
| Issue Number | 7 |
| Volume Number | 44 |
| Language | English |
| Publisher | Lippincott Williams & Wilkins (on behalf of the American Heart Association) |
| Publisher Date | 2013-07-01 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | Brain Ischemia Mortality Stroke Epidemiology Cohort Studies Hospitalization Predictive Value Of Tests Registries Severity Of Illness Index Time Factors Research Support, Non-u.s. Gov't Validation Studies Discipline Cardiology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cardiology and Cardiovascular Medicine Neuroscience Advanced and Specialized Nursing Neurology (clinical) |
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