4.7 Article

External Validation of the ASTRAL Score to Predict 3-and 12-Month Functional Outcome in the China National Stroke Registry

期刊

STROKE
卷 44, 期 5, 页码 1443-+

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/STROKEAHA.113.000993

关键词

ASTRAL score; China National Stroke Registry

资金

  1. Ministry of Science and Technology
  2. Ministry of Health of the People's Republic of China
  3. National S&T Major Project of China [2008ZX09312-008]
  4. State Key Development Program of Basic Research of China [2009CB521905]

向作者/读者索取更多资源

Background and Purpose-The ASTRAL score was recently introduced as a prognostic tool for acute ischemic stroke. It predicts 3-month outcome reliably in both the derivation and the validation European cohorts. We aimed to validate the ASTRAL score in a Chinese stroke population and moreover to explore its prognostic value to predict 12-month outcome. Methods-We applied the ASTRAL score to acute ischemic stroke patients admitted to 132 study sites of the China National Stroke Registry. Unfavorable outcome was assessed as a modified Rankin Scale score >2 at 3 and 12 months. Areas under the curve were calculated to quantify the prognostic value. Calibration was assessed by comparing predicted and observed probability of unfavorable outcome using Pearson correlation coefficient. Results-Among 3755 patients, 1473 (39.7%) had 3-month unfavorable outcome. Areas under the curve for 3 and 12 months were 0.82 and 0.81, respectively. There was high correlation between observed and expected probability of unfavorable 3- and 12-month outcome (Pearson correlation coefficient: 0.964 and 0.963, respectively). Conclusions-ASTRAL score is a reliable tool to predict unfavorable outcome at 3 and 12 months after acute ischemic stroke in the Chinese population. It is a useful tool that can be readily applied in clinical practice to risk-stratify acute stroke patients. (Stroke. 2013;44:1443-1445.)

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据