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氧饱和度指数与标准阻塞性睡眠呼吸暂停严重程度之间的相关性。

The correlation between oxygen saturation indices and the standard obstructive sleep apnea severity.

作者信息

Wali Siraj Omar, Abaalkhail Bahaa, AlQassas Ibrahim, Alhejaili Faris, Spence David W, Pandi-Perumal Seithikurippu R

机构信息

Sleep Medicine Research Group, Sleep Medicine and Research Center, King Abdulaziz University Hospital, Jeddah, Saudi Arabia.

Department of Family and Community Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.

出版信息

Ann Thorac Med. 2020 Apr-Jun;15(2):70-75. doi: 10.4103/atm.ATM_215_19. Epub 2020 Apr 3.

Abstract

OBJECTIVE

Currently accepted guidelines categorize obstructive sleep apnea (OSA) severity according to the Apnea-Hypopnea Index (AHI). However, it is unclear how to best define OSA severity. The present study sought to evaluate the concurrent validity of the widely accepted AHI by correlating it with various oxygen saturation (SpO) and polysomnographic parameters.

METHODS

The study utilized the data of a previous survey concerning the prevalence of OSA among a middle-aged Saudi population ( = 2682). Among the 346 individuals who underwent polysomnography, 178 had total sleep times of at least 240 min with rapid eye movement (REM) sleep and were included in the study. The standard classification of OSA severity was compared with different SpO and polysomnographic parameters.

RESULTS

The study found that there were correlations between the standard OSA severity based on AHI severity classification and different SpO and polysomnographic parameters, including the desaturation index (DI), the sum of all desaturations, desaturation below 90%, the average duration of respiratory events, and indices of total arousals and respiratory arousals. All of these parameters correlated directly with OSA severity classification ( < 0.001 for each). However, REM sleep duration and SpO nadir were inversely correlated with OSA severity ( < 0.003 and < 0.001, respectively). In addition, only the DI, SpO nadir, and respiratory arousal index were predictors of OSA severity, as determined through a multiple logistic regression analysis.

CONCLUSION

Our findings support the clinical reliability of the currently used standard classification of OSA severity based on the AHI.

摘要

目的

目前公认的指南根据呼吸暂停低通气指数(AHI)对阻塞性睡眠呼吸暂停(OSA)的严重程度进行分类。然而,如何最好地定义OSA严重程度尚不清楚。本研究旨在通过将广泛接受的AHI与各种血氧饱和度(SpO)和多导睡眠图参数相关联,来评估其同时效度。

方法

该研究利用了先前一项关于沙特中年人群中OSA患病率调查的数据(n = 2682)。在接受多导睡眠图检查的346名个体中,有178人的总睡眠时间至少为240分钟且有快速眼动(REM)睡眠,被纳入研究。将OSA严重程度的标准分类与不同的SpO和多导睡眠图参数进行比较。

结果

研究发现,基于AHI严重程度分类的标准OSA严重程度与不同的SpO和多导睡眠图参数之间存在相关性,包括去饱和指数(DI)、所有去饱和的总和、低于90%的去饱和、呼吸事件的平均持续时间以及总觉醒和呼吸觉醒指数。所有这些参数均与OSA严重程度分类直接相关(每项均P < 0.001)。然而,REM睡眠时间和SpO最低点与OSA严重程度呈负相关(分别为P < 0.003和P < 0.001)。此外,通过多元逻辑回归分析确定,只有DI、SpO最低点和呼吸觉醒指数是OSA严重程度的预测因素。

结论

我们的研究结果支持目前基于AHI的OSA严重程度标准分类的临床可靠性。

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