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

发表杂志：Stroke

发表类型: Original Contributions

影响因子(IF): 7.9

PMID: 33947206 Pubmed原文链接 全文下载

背景：TIA和轻型卒中都有高患病率和早期高卒中复发风险的特征，且有相似的发病机制，因此经常作为统一人群进行研究。但目前尚未有国际公认的TIA和轻型卒中风险预测模型。主要考虑既往模型基于临床危险因素，预测效能低下，被严重诟病。近年来，影像标志物因为能够体现患者的发病机制，且能作为卒中风险预测的重要因素，被逐渐重视起来。因此，基于CNSR3队列进行TIA和轻型卒中风险预测模型非常必要。 目的：建立基于临床、病因和影像（发病机制）的TIA和轻型卒中早期卒中复发风险预测模型

METHODS: We included patients with TIA and MIS (National Institutes of Health Stroke Scale score ≤3) with complete baseline vessel and brain imaging data from the Third China National Stroke Registry III. Patients were categorized into different risk groups based on ABCD2 score (low risk, 0–3; moderate risk, 4–5; and high risk, 6–7). The primary outcome was stroke recurrence within 1 year. Multivariable Cox proportional-hazards regression models were used to assess whether imaging parameters (large artery stenosis, infarction number) were independently associated with stroke recurrence