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清醒状态下对上气道负压的气流受限反应与阻塞性睡眠呼吸暂停严重程度的关系。

Relationship between airflow limitation in response to upper airway negative pressure during wakefulness and obstructive sleep apnea severity.

机构信息

KITE 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.

Pragmatic Innovation Inc., Toronto, ON, Canada.

出版信息

Sleep Breath. 2024 Mar;28(1):231-239. doi: 10.1007/s11325-023-02892-3. Epub 2023 Aug 7.

Abstract

PURPOSE

The objective was to determine if alteration in airflow induced by negative pressure (NP) applied to participants' upper airways during wakefulness, is related to obstructive sleep apnea (OSA) severity as determined by the apnea-hypopnea index (AHI).

METHODS

Adults 18 years of age or greater were recruited. All participants underwent overnight polysomnography to assess their apnea-hypopnea index (AHI). While awake, participants were twice exposed, orally, to -3 cm HO of NP for five full breaths. The ratio of the breathing volumes of the last two breaths during NP exposure to the last two breaths prior to NP exposure was deemed the NP ratio (NPR).

RESULTS

Eighteen participants were enrolled. A strong relationship between the AHI and the exponentially transformed NPR (ExpNPR) for all participants was observed (R = 0.55, p < 0.001). A multivariable model using the independent variable ExpNPR, age, body mass index and sex accounted for 81% of variability in AHI (p = 0.0006). A leave-one-subject-out cross-validation analysis revealed that predicted AHI using the multivariable model, and actual AHI from participants' polysomnograms, were strongly related (R = 0.72, p < 0.001).

CONCLUSION

We conclude that ExpNPR, was strongly related to the AHI, independently of demographic factors known to be related to the AHI.

摘要

目的

旨在确定在清醒时对上气道施加负压(NP)是否会改变气流,这与通过呼吸暂停低通气指数(AHI)确定的阻塞性睡眠呼吸暂停(OSA)严重程度是否相关。

方法

招募了年龄在 18 岁及以上的成年人。所有参与者都接受了整夜多导睡眠图检查,以评估他们的呼吸暂停低通气指数(AHI)。在清醒状态下,参与者两次经口暴露于-3cmHO 的 NP 下,持续 5 次完整呼吸。NP 暴露期间的最后两次呼吸与 NP 暴露前的最后两次呼吸的呼吸量比被认为是 NP 比(NPR)。

结果

共纳入 18 名参与者。所有参与者的 AHI 与指数化 NPR(ExpNPR)之间存在很强的相关性(R=0.55,p<0.001)。使用 ExpNPR、年龄、体重指数和性别作为独立变量的多变量模型解释了 AHI 的 81%(p=0.0006)。一项使用多变量模型预测参与者多导睡眠图中实际 AHI 的留一受试者外验证分析显示,两者具有很强的相关性(R=0.72,p<0.001)。

结论

我们得出结论,ExpNPR 与 AHI 密切相关,与已知与 AHI 相关的人口统计学因素无关。

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