在清醒期间应对上呼吸道负压的空气流限制与阻塞性睡眠呼吸暂停严重程度之间的关系
Jan Lim1, Hisham Alshaer2, Nasim Montazeri Ghahjaverestan1,3
1KITE Sleep Research Laboratory, Toronto Rehabilitation Institute of the University Health Network Toronto General Hospital, 200 Elizabeth St., Room 9N-943, Toronto, ON, M5G 2C4, Canada.
Sleep & breathing = Schlaf & Atmung
|August 7, 2023
概括
在清醒期间对上呼吸道施加的负压 (NP) 与阻塞性睡眠呼吸暂停 (OSA) 严重程度有很强的关系. 这一发现,使用NP比率 (NPR),可能有助于预测呼吸暂停-呼吸暂停指数 (AHI),独立于其他因素.
科学领域:
- 呼吸系统医学 呼吸系统医学
- 睡眠医学 睡眠医学
- 肺部病理学 肺部病理学
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 是一种常见的睡眠障碍,其特征是重复的上呼吸道崩.
- 准确评估OSA严重程度,通常通过呼吸暂停-呼吸暂停指数 (AHI),对于诊断和管理至关重要.
- 目前的诊断方法需要一夜间的多睡眠学,需要进一步研究替代或补充的评估工具.
研究的目的:
- 研究在清醒期间对上呼吸道施加的负压 (NP) 引起的空气流变化与阻塞性睡眠呼吸暂停 (OSA) 的严重程度之间的关系.
- 为了确定NP比率 (NPR),一个衡量NP下的呼吸量变化的指标,可以作为一个指标OSA严重程度,由呼吸暂停-呼吸暂停指数 (AHI) 定义.
主要方法:
- 成年参与者接受了夜间多睡眠图,以确定他们的基线呼吸暂停-呼吸暂停指数 (AHI).
- 在清醒的状态下,参与者通过口腔呼吸暴露于 -3 厘米的负压 (NP) H2O.
- 通过将NP暴露期间的呼吸量与暴露前的呼吸量进行比较来计算NP比率 (NPR).
主要成果:
- 在呼吸暂停-呼吸暂停指数 (AHI) 和指数转换的NP比率 (ExpNPR) (R2 = 0.55,p < 0.001) 之间发现了强烈的相关性.
- 结合ExpNPR,年龄,体重指数和性别的多变量模型解释了AHI (p = 0.0006) 81%的变化.
- 交叉验证证实,模型预测的AHI与多睡眠学实际AHI之间存在很强的关系 (R2 = 0.72,p < 0.001).
结论:
- 指数转换的NP比率 (ExpNPR) 与阻塞性睡眠呼吸暂停 (OSA) 严重程度密切相关.
- 这种关系独立于人口统计学因素,如年龄,体重指数和性别.
- ExpNPR显示出作为评估OSA严重程度的非侵入性,清醒措施的潜力.
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