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Updated: Jan 31, 2026

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在恶性瘤中开发和验证预测缺血性中风风险的估计工具
Ronda Lun1,2,3, Jenneke Leentjens4, Joshua O Cerasuolo5,6
1Calgary Stroke Program, Department of Clinical Neurosciences University of Calgary, Cumming School of Medicine Calgary AB Canada.
Journal of the American Heart Association
|January 30, 2026
概括
一种名为PRIME的新工具可以在诊断后一年内识别患有缺血性中风高风险的癌症患者. 这种预测模型有助于风险分层,以更好地管理患者.
科学领域:
- 在瘤学瘤学.
- 神经学 神经学
- 流行病学 流行病学
背景情况:
- 在癌症诊断后的第一年,缺血性中风的风险最高.
- 目前,没有经过验证的工具可以识别患有缺血性中风的高风险癌症患者.
研究的目的:
- 在新诊断的癌症患者中开发和验证缺血性中风风险的预测工具.
- 为临床使用创建一个可访问的在线计算器.
主要方法:
- 在加拿大安大略省 (2010-2021) 新诊断出癌症的成年人进行基于人口的回顾性队列研究.
- 使用链接的临床和行政数据库来获取数据.
- 开发了一种使用多变量细灰色回归的预测模型,将死亡率视为竞争事件.
- 使用C统计和校准图表评估模型性能.
主要成果:
- 该研究包括698566名患者,其中418911人在导出和279576人在验证队列中.
- 最终的模型结合了22个预测因素 (人口统计,癌症和治疗特征).
- PRIME工具显示出良好的区分 (C统计=0.73) 和校准.
结论:
- PRIME (在恶性瘤估计中预测缺血性中风风险) 工具已成功衍生和验证.
- PRIME有效地预测癌症患者在诊断后一年内缺血性中风风险.
- 有一个在线计算器可用,使得风险分层为改善患者护理.
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