在接受里瓦洛克萨班治疗的非膜心房的患者中预测出血事件的诺莫图:一项回顾性研究
Chang Cao1,2, Yijiao Xu3, Weiwen Jiang1,2
1Department of Pharmacy, Zhongshan Hospital (Xiamen) Fudan University Xiamen China.
Health science reports
|January 10, 2024
概括
一个新的模型预测了在接受里瓦洛克萨班治疗的非膜心房动患者的出血事件. 老年,较高的前列血时间和心力衰竭/中风史是导致出血的关键危险因素.
科学领域:
- 心脏病学 心脏病学
- 药理学 药理学是指药理学的学科.
- 医疗信息学 医疗信息学
背景情况:
- 接受里瓦洛克萨班治疗的非膜心房动 (NVAF) 患者面临出血风险.
- 预测模型对于管理这些风险至关重要.
- 现有的模型可能无法完全捕捉出血事件预测因素在这个人群中.
研究的目的:
- 开发和验证用Rivaroxaban治疗的NVAF患者出血事件的预测模型.
- 为了确定与出血事件相关的独立风险因素.
- 为视觉风险评估建立一个名字图.
主要方法:
- 接受里瓦罗克萨班的NVAF患者的回顾性队列研究 (2017年6月至2019年3月).
- 单变量和多变量分析以确定出血事件的预测因素.
- 使用R软件开发预测模型和名ogram,并进行灵敏度和特异性评估.
主要成果:
- 老年,较高的前列血时间 (PT) 和心力衰竭和中风史被确定为出血的独立风险因素.
- 开发的名图实现了曲线下的面积 (AUC) 为0.828.
- 在将PT与CHA2DS2-VASc和HASBLED分数相结合时,决策曲线分析显示出更高的预测准确度.
结论:
- 一种结合PT,CHA2DS2-VASc和HASBLED分数的新型名图谱提供了一种实用且准确的方法,用于预测Rivaroxaban治疗的NVAF患者的出血事件.
- 这个模型可以帮助临床医生进行风险分层和个性化治疗决策.
- 需要在不同的群体中进一步验证.
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