What is the clinical evidence from this study?

Study design: Review. Population: Obstructive Sleep Apnea (OSA) and Cardiovascular Disease. Intervention: Hypoxia-based models and metrics vs. Apnea-Hypopnea Index (AHI).

January 3, 2025Open Access

Improving the Cardiovascular Outcomes of Obstructive Sleep Apnea: Towards More Precise Hypoxia-Based Models of Disease Severity

NQNida T. QayyumUniversity of California, Irvine ACA.T. ColeUniversity of North Carolina at Chapel Hill RKRami KhayatPenn State Milton S. Hershey Medical Center

Key Result

Hypoxia-based metrics and mathematical modeling of tissue oxygenation offer a more precise assessment of cardiovascular risk in obstructive sleep apnea compared to the standard apnea-hypopnea index.

Structured PICO

Population

Patients with Obstructive Sleep Apnea (OSA)

Hypoxia-based metrics and mathematical modeling may offer more accurate alternatives to the standard apnea-hypopnea index for assessing OSA severity and its cardiovascular implications.

Limitations

The apnea-hypopnea index (AHI) does not account for event duration or temporal proximity of obstructive events.
Pulse oximetry, used in current diagnostics, may be affected by skin tone bias, movement artifacts, and vasoconstriction.
Mathematical models require further optimization to accurately convert clinical signals like nasal pressure to alveolar volume.
Current mathematical models may not fully replicate the body's natural physiological responses.

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.

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