预测心脏衰竭患者的REACT-HF评分的外部验证
Giorgio Moschovitis1, Elia Rigamonti1, Andrea Wiencierz2
1Cardiology Division, Ente Ospedaliero Cantonale (EOC) Cardiocentro Ticino Institute, Regional Hospital of Lugano Lugano Switzerland.
Journal of the American Heart Association
|August 29, 2025
概括
在心房患者中,REACT- HF风险得分有效预测心脏衰竭 (HF) 住院. 添加NT-proBNP和hs-CRP生物标志物显著提高了HF风险的预测准确性.
科学领域:
- 心脏病学
- 临床预测模型
- 前庭的研究
背景情况:
- 在心房的患者中缺少发生心力衰竭 (HF) 的验证风险预测得分.
- 需要对REACT-HF得分进行外部验证.
- 评估生物标志物用于改善心房的预测至关重要.
研究的目的:
- 通过外部验证REACT- HF风险评分,预测心房患者的入院情况.
- 通过纳入hs-CRP和NT-proBNP等生物标志物来评估预测的改善.
主要方法:
- 外部验证使用来自瑞士AF和BEAT-AF队列的2599名患者.
- 用于估计REACT-HF得分的C统计数据的Cox比例危险模型.
- 纳入生物标志物 (hs-CRP,NT-proBNP,hs-TnT) 来评估预测的改善.
主要成果:
- REACT-HF得分显示了两年HF住院的良好区别 (C统计: 0. 76).
- 生物标志物增强模型包括hs-CRP和NT-proBNP改善了预测 (C统计:0.84).
- 在风险分数五分之一中,HF住院和死亡的发病率增加.
结论:
- 在心房患者中,REACT- HF风险评分显示出对预测HF住院的良好区别.
- 纳入NT-proBNP和hs-CRP显著提高了得分的预测性能.
- 经过验证和增强的REACT- HF得分可以帮助识别高风险的心房动患者进行预防策略.
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