在心力衰竭中评估双向心肺呼吸器合的状态空间对应和交叉度方法
Beatrice Cairo1, Riccardo Pernice2, Nikola N Radovanović3
1Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.
Entropy (Basel, Switzerland)
|July 29, 2025
概括
这项研究研究了心力衰竭 (HF) 患者的心肺呼吸系统合 (CRC). 研究人员使用先进的方法在鼻节律和心室心律失常组中发现了主导的心脏与呼吸系统相互作用.
科学领域:
- 心脏病学 心脏病学
- 呼吸系统生理学 呼吸系统生理学
- 复杂性科学 复杂性科学
背景情况:
- 心肺呼吸系统合 (CRC) 描述了心脏和呼吸系统之间的双向相互作用.
- 心力衰竭 (HF) 可以显著改变CRC的动态.
- 了解这些变化对于管理HF患者至关重要.
研究的目的:
- 评估心力衰竭患者的定向CRC强度的变化.
- 为了比较HF患者的CRC与鼻节律 (SR) 与心室失常 (VA).
- 为了评估交叉 (CrossEn) 和状态空间对应 (SSC) 的有效性,使用k-近邻 (KNN) 估计.
主要方法:
- 基于KNN估计的应用CrossEn和SSC测量到心脏周期 (HP) 和呼吸系统 (RESP) 变化序列.
- 分析了25名SR患者和41名VA患者的HF数据.
- 考虑到心脏和呼吸系统节律的复杂性.
主要成果:
- 在SR和VA HF队列中,从心脏到呼吸节律的相互作用的主要方向性被观察到.
- 无论是CrossEn还是SSC的方法论,都在检测这种方向性方面表现出类似的统计能力.
- 与心脏周期变异性相比,SR患有HF患者的呼吸变异性复杂性较低.
结论:
- 在使用KNN技术来估计交叉可预测性标记时,CrossEn和SSC是密切相关的.
- 这些发现突出显示了HF中改变的CRC方向性,不管心律如何.
- 变性序列中的复杂性差异可能会为HF病理生理学提供进一步的见解.
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