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改善阻塞性睡眠呼吸暂停的心血管结局:迈向基于缺氧的更精确疾病严重程度模型。

Improving the cardiovascular outcomes of obstructive sleep apnea: Towards more precise hypoxia-based models of disease severity.

作者信息

Qayyum Nida T, Cole Andrew T, Khayat Rami N, Grosberg Anna

机构信息

Department of Chemical and Biomolecular Engineering, University of California, Irvine, Irvine, CA, United States.

UCI Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center (CIRC), University of California, Irvine, Irvine, CA, United States.

出版信息

Curr Sleep Med Rep. 2025;11(1). doi: 10.1007/s40675-024-00315-7. Epub 2025 Jan 3.

Abstract

PURPOSE OF REVIEW

Obstructive sleep apnea (OSA) affects at least 1 billion people worldwide, and its increasing prevalence is alarming considering an association to comorbidities such as cardiovascular disease (CVD) and to demonstrated health disparities. This raises concerns regarding the current diagnostic standards, which are also impacted by disparities. The current review was aimed at identifying limitations in the apnea-hypopnea index (AHI), the primary clinical indicator of OSA severity, and analyzing recent alternatives. In addition, the association between OSA and CVD was discussed, and, considering the role of intermittent hypoxia, solutions were proposed for improving OSA diagnosis.

RECENT FINDINGS

Based on a review of current literature, alternative metrics to the AHI such as the hypoxia burden, sleep apnea-specific pulse rate, and oxygen desaturation rate were shown to be correlated with indicators of CVD in OSA patients. A recent mathematical study also presents the possibility of a model-based metric to eliminate existing bias in diagnostics and provide a more accurate quantification of tissue hypoxia.

SUMMARY

The analyzed studies give incentive to look beyond current clinical standards in OSA. Through this review, we motivate the use of mathematical modeling as a future avenue to improve OSA diagnosis with a hypoxia-based approach.

摘要

综述目的

阻塞性睡眠呼吸暂停(OSA)在全球至少影响10亿人,考虑到其与心血管疾病(CVD)等合并症的关联以及已证实的健康差异,其患病率不断上升令人担忧。这引发了对当前诊断标准的关注,而这些标准也受到差异的影响。本综述旨在确定OSA严重程度的主要临床指标——呼吸暂停低通气指数(AHI)的局限性,并分析近期的替代指标。此外,还讨论了OSA与CVD之间的关联,并考虑到间歇性缺氧的作用,提出了改善OSA诊断的解决方案。

最新发现

基于对当前文献的综述,AHI的替代指标,如缺氧负担、睡眠呼吸暂停特异性脉搏率和氧饱和度下降率,被证明与OSA患者的CVD指标相关。最近的一项数学研究还提出了基于模型的指标的可能性,以消除诊断中现有的偏差,并更准确地量化组织缺氧。

总结

分析的研究促使人们超越OSA当前的临床标准。通过本综述,我们鼓励将数学建模作为未来以基于缺氧的方法改善OSA诊断的途径。

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本文引用的文献

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A mathematical model to serve as a clinical tool for assessing obstructive sleep apnea severity.
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