在ANOCA患者中检测冠状动脉的霍尔特特征:一项试点研究
Diantha Jm Schipaanboord1, Caïa Crooijmans2, Nicole S Erler3
1Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
International journal of cardiology. Heart & vasculature
|February 23, 2026
概括
霍尔特监测可以在患有非阻塞性冠状动脉疾病 (ANOCA) 的心痛患者中识别冠状动脉 (CAS). 这种非侵入性方法显示出检测CAS特征的潜力,包括ST抑郁和心率变化,特别是在一夜之间.
科学领域:
- 心脏病学 心脏病学
- 医学诊断 医学诊断 医学诊断
- 电心电图是指心电图.
背景情况:
- 冠状动脉 (CAS) 常见于心痛和非阻塞性冠状动脉疾病 (ANOCA) 的患者.
- 目前的诊断方法,如冠状动脉功能测试 (CFT),是侵入性的,限制了进一步的研究.
- 在ANOCA患者中,确定CAS的非侵入性诊断工具至关重要.
研究的目的:
- 调查霍尔特监测与症状跟踪是否可以在ANOCA患者中识别CAS的特征.
- 评估基于霍尔特的CAS特征的诊断潜力.
主要方法:
- 一项试点研究涉及42名ANOCA患者,他们接受了2至7天的12导荷尔特监测,同时跟踪症状.
- 具有和没有CAS的患者之间的霍尔特-ECG特征和症状的比较.
- 用不同值计算与缺血相关的参数,计算CAS的诊断指标.
主要成果:
- 冠状动脉 (CAS) 在79%的患者被诊断为冠状动脉.
- 与没有CAS患者相比,CAS患者的ST抑郁症显著增加 (≥1分钟/天) (p=0.013对≥0.035mV).
- CAS患者表现出较低的心率和较长的PQ/QT时间,特别是在夜间和清晨.
结论:
- 霍尔特监测可以揭示ANOCA患者冠状动脉 (CAS) 的潜在信号.
- 晚上/早晨ST抑郁,心率降低,PQ时间延长是CAS的迹象.
- 需要进一步的大规模,可能由人工智能驱动的研究来验证这些发现.
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