基于声心图的冠状动脉疾病预测模型 (CAD-score系统) 的诊断性能:系统性审查和元分析
Miftah Pramudyo1,2, Ahmad Faried2,3, Mohammad Rizki Akbar1,3
1Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Padjadjaran, Bandung, Indonesia.
Frontiers in cardiovascular medicine
|November 21, 2025
概括
使用CADScor®系统的心电图 (PCG) 显示出排除冠状动脉疾病 (CAD) 的潜力. 这一元分析发现PCG是非侵入性CAD评估的有希望的工具.
科学领域:
- 心脏病学 心脏病学
- 医疗器械 医疗器械
- 诊断的准确性 诊断的准确性
背景情况:
- 阻塞性冠状动脉疾病 (CAD) 的测试前概率分层仍然低于最佳.
- 目前对CAD的诊断测试经常产生正常结果,导致效率低下.
- 测量冠状动脉狭窄引起的微噪声的声学设备显示出CAD分层的前景.
研究的目的:
- 调查声心图 (PCG) 在检测冠状动脉疾病 (CAD) 中的诊断价值.
- 通过元分析评估CADScor®系统在预测CAD方面的准确性.
主要方法:
- 在PubMed,EuropePMC和ScienceDirect上进行了系统的文献搜索,截至2025年1月.
- 符合条件的研究评估了PCG的准确性,使用CADScor®系统进行CAD预测.
- 来自4项涉及4050名患者的研究的数据被纳入了元分析.
主要成果:
- 对PCG的综合敏感度为87% (95%CI,80%-92%),特异性为35% (95%CI,21%-52%).
- 聚合的负概率比 (NLR) 为0.37 (95% CI,0.25-0.55),表明作为排除测试的实用性.
- 在ROC曲线下的面积 (AUC) 为0.79 (95% CI,0.75-0.82),表明良好的区分能力.
结论:
- 声心图 (PCG) 显示出作为疑似冠状动脉疾病 (CAD) 患者有效排除工具的潜力.
- 使用PCG的CADScor®系统可以帮助非侵入性地评估CAD的可能性.
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