开发和验证用于预测肺栓塞患者出血风险的诺姆图
Tian Ye1, Wanlin Lei2, Maofeng Wang2
1Department of Emergency, Affiliated Dongyang Hospital, Wenzhou Medical University, Dongyang, Zhejiang, China.
Frontiers in medicine
|October 27, 2025
概括
一个新的模型预测了接受抗凝药的肺栓塞 (PE) 患者的出血风险. 这种工具有助于个性化治疗,以减少出血并发症并改善患者的治疗结果.
科学领域:
- 心脏病学和血栓形成
- 临床决策支持系统 临床决策支持系统
- 医疗大数据分析 医学大数据分析
背景情况:
- 抗凝固疗法对于肺栓塞 (PE) 管理至关重要.
- 在抗凝血治疗期间出现的出血并发症是一个重大的临床挑战.
- 现有的风险分层工具可能不是PE特定的.
研究的目的:
- 开发和验证一种新的预测模型,专门用于肺栓塞患者的出血风险.
- 确定接受抗凝药治疗的PE患者显著出血的关键预测因素.
主要方法:
- 对5632名住院PE患者进行了回顾性队列研究.
- 使用大数据平台进行开发和验证,培训和测试分为70/30.
- 用于预测器选择的 LASSO 回归和用于模型构建的多变量逻辑回归.
主要成果:
- 开发了一个六个预测模型 (先前出血,功能不充分,红细胞计数,静脉压,脑梗塞,肌素).
- 该模型显示出良好的区分 (AUC:0.756发展,0.729验证) 和校准.
- 决策曲线分析表明临床效用,在30%的门下,可能减少42%的大型出血.
结论:
- 一个经过验证的,针对PE的出血风险预测工具已经开发出来.
- 这种工具可以实现个性化的抗凝管理,以减轻出血风险.
- 实施可能会降低与出血相关的发病率,并优化医疗保健资源的使用.
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