休息回声心脏学参数可以排除显著的冠状动脉疾病:与冠状动脉计算机断层扫描血管图的比较
Shinji Jinno1, Akira Yamada2, Kunihiko Sugimoto1
1Clinical Laboratory, Fujita Health University Hospital, Toyoake, Aichi, Japan.
Echocardiography (Mount Kisco, N.Y.)
|October 19, 2023
概括
静止心声学参数,特别是左心房体积指数 (LAVI) 和左心室全球纵向应变 (GLS),可以帮助排除通过冠状动脉计算机断层扫描血管学 (CCTA) 识别的显著冠状动脉疾病 (CAD). 将这些测量结合起来,为排除CAD提供了高负预测值.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 心声回声扫描 (Echocardiography) 是一种心声回声扫描.
背景情况:
- 冠状动脉计算机断层扫描血管学 (CCTA) 是诊断冠状动脉疾病 (CAD) 的一个有价值的工具.
- CCTA的高负预测值 (NPV) 对于排除显著的CAD至关重要.
研究的目的:
- 评估静止回声心脏学参数是否可以有效排除CCTA检测到的显著CAD.
- 确定非显著CAD的特定心声回声预测因素.
主要方法:
- 分析了142名在3个月内接受CCTA和心声共振的患者.
- 根据CCTA发现,患者被分组为:非显著的CAD (<50%狭窄) 和显著的CAD.
- 休息时心声学参数在各组之间进行了比较.
主要成果:
- 92名患者有资格;50名在非显著的CAD组和42名在显著的CAD组.
- 在非显著的CAD组中观察到左下心脏体积指数 (LAVI) 和左心室全球纵向应变 (GLS).
- 综合的LAVI (<29.0毫升/米2) 和GLS (<-18.1%) 实现了95.0%的净净值,不包括显著的CAD.
结论:
- 休息的LAVI和GLS在临床上有用,在CCTA评估时排除显著的CAD.
- 联合使用LAVI和GLS增强了非侵入性排除显著CAD的能力.
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