国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

Validation of the ABCD2-I score to predict stroke risk after transient ischemic attack

第一作者:Xia Meng

通讯作者:Yongjun Wang

ABCD2-I score ABCD2 score Recurrent stroke Risk

基本信息

  • 负责人:Xia Meng
  • 数据来源: CNSR-I CICAS
  • 论文编号:CNSR-I20180067
  • 发表时间:2011-06-01

2011-06-01

已发表文章

发表杂志:Neurological Research

发表类型: Original Contributions

影响因子(IF): 2.448

PMID: 21669116 Pubmed原文链接 全文下载

主要研究背景及目的

The primary aim of this study was to prospectively validate the predictive value of the ABCD2-I score and to then compare the predictive accuracy of the ABCD2 score and ABCD2-I score for 1-year risk of stroke in admitted patients with transient ischemic attack (TIA) as defined by the World Health Organization (WHO) time-based criteria.

方法

Data were collected from patients with transient ischemic attack within 7 days of symptom onset, and all patients underwent diffusion-weighted imaging (DWI). The predictive values of stratified 1-year rates of recurrent stroke were compared using the age, blood pressure, clinical signs, symptom duration, and ABCD2 score with defined cutoff values (0–3, low-risk, 4–5, medium-risk, 6–7, high-risk) and ABCD2-I score cutoff values (0–3, low-risk, 4–6, medium-risk, 7–10, high-risk). In addition, to evaluate the performance of the two scores, we calculated the area under the curve by receiver-operating characteristic.

结论

The ABCD2-I score is a useful tool for stratifying the 1-year risk of stroke in TIA patients, and it improves the discriminatory power of the ABCD2 score for the prediction of stroke risk.

主要结果

Four hundred and ten patients with completed DWI and 12-month follow-up with initial TIA were enrolled in this study. Of these, 111 (27.07%) patients had annual stroke risk. The risk of stroke increased with increasing ABCD2 score and ABCD2-I score. The ABCD2-I score had the higher predictive value with areas under the curve of 0.77 than the ABCD2 score with areas under the curve of 0.59.