在增强的外部反推力中进行血管超声波数据,用于预测冠状动脉疾病
概括
外围动脉功能的动态特征,通过在增强的外部逆脉冲 (EECP) 中测量转移功能的分析,可以预测冠状动脉疾病 (CAD). 在EECP期间和之后立即收集的数据显示CAD的预测值更高.
科学领域:
- 心血管功能分析分析
- 非侵入性诊断技术是一种非侵入性诊断技术.
- 周围动脉动态 周围动脉动态
背景情况:
- 急性运动会影响心血管功能和疾病预测.
- 对外围动脉功能动态进行了探索,以预测疾病.
- 冠状动脉疾病 (CAD) 的预测是一个关键的临床挑战.
研究的目的:
- 调查外围动脉功能的动态特征是否可以预测冠状动脉疾病 (CAD).
- 评估在CAD中EECP期间从外周血流中获得的转移功能特征的预测能力.
- 将这些特征在EECP干预不同阶段的预测值进行比较.
主要方法:
- 一百名受试者 (50名CAD患者,50名对照组) 接受了45分钟的增强外部反推力 (EECP) 疗程.
- 血管超声波测量了 EECP 之前,期间和之后的頸動脈和手臂動脈血流.
- 使用12级ARX模型计算转移函数特征,并使用极端学习机器和10倍交叉验证进行分类.
主要成果:
- 在EECP之前,分类准确度达到89%,在EECP期间达到93%,并在EECP后立即达到94%.
- 曲线下的面积 (AUC) 值为0.87 (之前),0.93 (期间) 和0.95 (之后) EECP.
- 在EECP期间和之后立即获得的数据显示了CAD的优异预测性能.
结论:
- 由EECP诱导的血液流动的转移功能特征显示了预测CAD的潜力.
- 在EECP期间和之后监测周围血流提供了CAD评估的非侵入性方法.
- 在EECP干预期间的动态血管评估对早期CAD检测具有重大前景.
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