使用鼻腔压力信号的信封分析来估计睡眠呼吸暂停的严重程度
Mikke Varis1,2, Tuomas Karhu1,2, Timo Leppänen1,2,3
1Department of Technical Physics, University of Eastern Finland, Canthia, P.O. Box 1627, FI-70211 Kuopio, Finland.
Diagnostics (Basel, Switzerland)
|May 27, 2023
概括
本研究引入了封面分析作为评估阻塞性睡眠呼吸暂停 (OSA) 严重程度的客观方法. 标准偏差和变化系数参数有效地分类OSA严重程度,独立于手动评分.
科学领域:
- 呼吸系统医学 呼吸系统医学
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 目前阻塞性睡眠呼吸暂停 (OSA) 严重程度评估依赖于对呼吸事件的主观手动评分.
- 这种手动评分通常是任意的,缺乏客观标准化.
研究的目的:
- 开发和验证一个客观的方法来评估使用封面分析的OSA严重程度.
- 评估这种方法的有效性,而不依赖于传统的手动评分规则.
主要方法:
- 从怀疑患有OSA的847名患者的鼻子压力信号的回顾性分析.
- 计算四个封面分析参数:平均 (AV),中位数 (MD),标准偏差 (SD) 和变化系数 (CoV).
- 使用不同的呼吸暂停-呼吸暂停指数 (AHI) 值和基于时代的分析对OSA严重性的二元分类.
主要成果:
- 在所有AHI值 (AUC≥0.82) 上,SD和Cov表现出高的分类性能.
- SD (AUC = 0.97) 和Cov (AUC = 0.95) 有效地区分了非OSA和严重OSA患者.
- MD和Cov显示在检测时代内手动得分的呼吸事件中的适度能力 (AUC分别为0.76和0.82).
结论:
- 封面分析为OSA严重性评估提供了一个有希望的,客观的替代方案.
- 这种方法减少了对主观手动评分和任意事件定义的依赖.
- SD和Cov参数对于客观地对OSA严重程度进行分类特别有效.
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