左心室菌株的诊断性能用于预测生理学上显著的冠状动脉疾病
Pratya Rawangban1, Anusith Tunhasiriwet1, Rawish Wimolwattanaphan1
1Chulabhorn Royal Academy Hospital, Bangkok, Thailand.
International journal of cardiology. Cardiovascular risk and prevention
|December 30, 2025
概括
来自左心室全球纵向应变 (LV GLS) 的缺血牛眼模式显示了诊断冠状动脉疾病 (CAD) 的高灵敏度. 将这种模式与中央大动脉脉压相结合,可以提高阻塞性CAD的诊断准确度.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 诊断工具 诊断工具 诊断工具
背景情况:
- 冠状动脉疾病 (CAD) 是一个主要的全球健康问题.
- 侵入性冠状动脉血管造影是最终的,但成本高昂;非侵入性查是首选的.
- 左心室全球纵向应变 (LV GLS) 对阻塞性CAD的诊断实用性需要澄清.
研究的目的:
- 评估LV GLS在识别显著CAD方面的准确性.
- 为了将LV GLS与诸如分流储备 (FFR) 和非高压压力比率 (NHPR) 等侵入性措施进行比较.
- 探索LV GLS模式和临床因素,以改善CAD预测.
主要方法:
- 对怀疑患有CAD的患者进行血管造影和生理检测的回顾性队列研究.
- 休息时的回声心脏图分析了LV GLS.
- 用于评估预测性能的接收器操作特征 (ROC) 分析和多变量建模.
主要成果:
- 平均LV GLS在具有和没有显著CAD的组之间没有显著差异.
- 来自LV GLS的缺血牛眼模式显示高灵敏度 (93%) 和负预测值 (87%).
- 中央大动脉脉压和缺血性牛眼模式是显著CAD (AUC=0.76) 的独立预测因素.
结论:
- 平均LV GLS不是显著CAD的可靠独立预测器.
- 来自LV GLS的缺血牛眼模式是一个有价值的查工具.
- 整合LV GLS模式和中央大动脉脉压可能会增强初始CAD查协议.
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