左心房硬度指数预测心力衰竭中的心房动风险,并保留了喷射分数:一个名ogram模型
Yu Zhang1, Jing Qin1, Xiaoli Chen2
1Department of Cardiac Ultrasound, Affiliated Hospital of Nantong University Nantong 226001, Jiangsu, China.
American journal of translational research
|October 20, 2025
概括
使用LASI (左心房应变指数) 的新型诺摩图有效预测心脏衰竭中心房动 (AF) 风险,其中包括保留喷射分数 (HFpEF) 患者. 该工具有助于对高风险个体进行早期识别和有针对性的干预.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 生物统计学 生物统计学
背景情况:
- 保持喷射分数 (HFpEF) 的心力衰竭经常与心房动 (AF) 相关.
- 在HFpEF患者中,精确的AF风险分层对于及时干预至关重要.
- 现有的风险预测模型可能无法完全捕捉HFpEF中AF的复杂病理生理学.
研究的目的:
- 开发和验证用于预测HFpEF患者的AF风险的诺米克图.
- 评估左心室应变指数 (LASI) 和其他心声学参数在HFpEF中对AF的预测值.
- 将关键预测因素纳入全面的风险分层工具中.
主要方法:
- 对275名HFpEF患者 (160名AF患者,115名对照患者) 的回顾性分析.
- 心声学评估包括LASI,左心房体积,应变 (AP2%,AP4%) 和电机延迟 (SD2,SD4).
- 多变量逻辑回归和接收器操作特征 (ROC) 分析用于预测器识别和模型验证.
主要成果:
- 较高的LASI,身体表面积 (BSA),AP4%和SD2与AF风险增加有关.
- 较低的E / e'和SD4与AF风险有负面关联.
- 结合的诺米图实现了0.801的AUC,证明了良好的预测性能.
结论:
- 在HFpEF患者中,LASI是AF风险的独立预测因子.
- 开发的诺米图,包括LASI,BSA和电机学标记,提供精确的AF风险分层.
- 该工具有助于早期识别高风险的HFpEF患者,以便针对性治疗策略.
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