对于冠状动脉疾病的手臂运动应力回声心电图的准确性和预后价值
Maicon F R Cruz1, Silvio Gioppato1, Walter E M Rocha1
1Department of Internal Medicine, School of Medical Sciences, State University of Campinas, São Paulo, Brazil.
手臂运动应力回声心电图 (Arm-ExSEC) 能够有效检测下肢损伤患者的冠状动脉病 (CAD). 这种方法还可以预测不良心脏事件,为这个人群提供有价值的诊断和预后见解.
科学领域:
- 心脏病学 心脏病学
- 诊断成像 诊断成像 诊断成像
- 预防性心脏病学 预防性心脏病学
背景情况:
- 运动应激回声心电图 (ExSEC) 是冠状动脉疾病 (CAD) 评估的标准.
- 患有下肢损伤的患者不能接受标准的ExSEC.
- 臂运动应力回声心电图 (Arm-ExSEC) 是一种潜在的替代方案,但其预测价值还没有得到充分研究.
研究的目的:
- 评估Arm-ExSEC用于检测下肢残疾患者的CAD的诊断准确性.
- 评估Arm-ExSEC在预测主要不良心脏事件 (MACE) 中的预后效用.
主要方法:
- 对68名下肢残疾患者的回顾性分析.
- 冠状动脉血管学作为CAD确认的黄金标准.
- 对心肌梗塞和心脏死亡率的复合结果进行一年的随访.
- 使用了生存分析和多变量考克斯回归.
主要成果:
- 对于CAD检测,Arm-ExSEC显示了72%的灵敏度,80%的特异性和76%的整体准确性.
- 阳性Arm-ExSEC结果的患者的MACE发病率明显更高 (日志等级测试,p=0.007).
- 阳性手臂-ExSEC是MACE的独立预测因子 (HR [95% CI],10.50 [1.20-91.93];p=0.034).
结论:
- Arm-ExSEC是诊断下肢损伤患者CAD的一个有价值的工具.
- Arm-ExSEC提供了有关该群体心脏不良事件的重要预后信息.
- 这种模式为心脏评估提供了可行的替代方案,当下肢运动不可行时.
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