渐进性动脉样硬化预后中的时间域心率动态
Rahul Kumar1, Yogender Aggarwal1, Vinod Kumar Nigam1
1Department of Bioengineering and Biotechnology, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India.
Nutrition, metabolism, and cardiovascular diseases : NMCD
|February 25, 2024
概括
高脂肪饮食加剧动脉样硬化,导致自主功能障碍和心率变化 (HRV) 的降低. 这项研究发现HRV和动脉样硬化标志物之间存在负相关性,支持矢量机 (SVM) 模型准确预测疾病严重程度.
科学领域:
- 心血管生理学心血管生理学
- 生物医学工程 生物医学工程
- 自主神经系统研究 自主神经系统研究
背景情况:
- 高脂肪饮食 (HFD) 和生活方式的改变有助于动脉样硬化,这种疾病与心血管疾病和自主功能障碍有关.
- 自主功能障碍,以改变心率变化 (HRV) 为特征,越来越多地被认为是动脉样硬化的结果.
研究的目的:
- 研究通过HRV评估的自主活动与关键脂质和动脉样硬化标志物之间的相关性.
- 开发和评估基于支向量机 (SVM) 的模型,用于预测动脉样硬化的严重程度.
主要方法:
- 在控制和实验组中,在9周内每周测量-II心电图和血液标记物.
- 时间域HRV参数的导出和与脂质和动脉样硬化标志物的相关性分析.
- 使用统计学上显著的HRV参数作为SVM模型的特征来预测动脉样硬化严重程度.
主要成果:
- 由HFD诱导的渐进性动脉样硬化严重程度与时间域HRV参数的减少有关.
- 在HRV参数和脂质/动脉样硬化标志物之间观察到显著的负相关性.
- 对于动脉样硬化症的严重程度,SVM模型的预测准确度在86.58%至98.71%之间.
结论:
- 动脉样硬化进展与自主功能障碍和减少HRV有关.
- 自主性参数,特别是阴道活动,可能在动脉样硬化的预后中发挥关键作用.
- 开发的SVM模型在预测动脉样硬化严重程度方面表现出高准确度.
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