The Correlation Between Obstructive Sleep Apnea-Related Nocturnal Hypoxemia Parameters and Coronary Microvascular Dysfunction: A Prospective Cohort Study (SLEEP-CMD)
NCT ID: NCT07315399
Last Updated: 2026-01-02
Study Results
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Basic Information
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NOT_YET_RECRUITING
560 participants
OBSERVATIONAL
2025-12-30
2030-12-30
Brief Summary
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1. To determine the association between various obstructive sleep apnea (OSA)-related nocturnal hypoxemia parameters and coronary microvascular dysfunction (CMD) in patients with suspected myocardial ischemia.
2. To compare the predictive value of nocturnal hypoxemia parameters versus the traditional Apnea-Hypopnea Index (AHI) for coronary microvascular dysfunction.
3. To evaluate the prognostic value of nocturnal hypoxemia parameters in predicting Major Adverse Cardiovascular Events (MACE) during the follow-up period.
4. To explore the potential mediating roles of inflammatory and oxidative stress biomarkers in the relationship between nocturnal hypoxemia parameters and coronary microvascular dysfunction.
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Detailed Description
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The core pathological features of CMD involve structural remodeling and functional abnormalities of the coronary microvasculature. The gold standard for its diagnosis is the Index of Microvascular Resistance (IMR) measured via an invasive pressure wire; however, this procedure is complex. In contrast, the Angiography-derived Index of Microvascular Resistance (Angio-IMR) is simple to perform, and numerous clinical studies have confirmed its high consistency with invasive IMR. Currently, an Angio-IMR \>25 U is considered the cutoff value for diagnosing CMD. The typical clinical presentation of OSA includes habitual snoring, morning fatigue, excessive daytime sleepiness, and sleep fragmentation. Its diagnosis relies on Polysomnography (PSG), and disease severity is quantified and graded using the Apnea-Hypopnea Index (AHI).
Previous studies have confirmed an independent correlation between OSA and CMD; however, existing evidence is largely based on single assessments using the AHI, lacking a systematic analysis of hypoxemia characteristics. While AHI reflects the overall frequency of respiratory events, it cannot effectively distinguish the severity, duration of exposure, and frequency of hypoxemia. Existing evidence suggests that at identical AHI levels, the 5-year incidence of cardiovascular events can differ by up to 2.3-fold among patients with different hypoxia patterns. Furthermore, intervention strategies based solely on AHI have shown limited efficacy in improving all-cause mortality in CVD patients with comorbid OSA. Our team's preliminary retrospective cohort study indicated that the minimum oxygen saturation (minSpO2) ≤90% and the time with oxygen saturation below 90% (T90) were independently associated with CMD, whereas no significant correlation was found between AHI and CMD. This suggests that nocturnal hypoxemia parameters may offer superior predictive value for OSA-related CMD risk compared to the traditional AHI metric. However, clear evidence regarding the dose-response relationship between hypoxic parameters and CMD is currently lacking, and the specific impact of different hypoxic patterns (intermittent vs. sustained hypoxia) on the pathogenesis of CMD remains unelucidated. This limits the precise risk stratification and the formulation of individualized intervention strategies for CMD in OSA patients. Therefore, this study proposes a prospective cohort study to systematically evaluate the association and mechanisms between OSA-related nocturnal hypoxemia parameters and CMD. The aim is to construct a cardiovascular risk stratification model for OSA patients based on hypoxic characteristics, providing a scientific basis for implementing personalized targeted interventions, and ultimately improving patients' clinical prognosis and health-related quality of life.
The current study will be conducted by the National clinical research center for cardiovascular disease at multiple collaborating centers across China.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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Polysomnography
1. Polysomnography (PSG) All patients underwent overnight polysomnography using a diagnostic system during their hospitalization. The following nocturnal respiratory parameters were recorded: Apnea-Hypopnea Index (AHI), heart rate-related parameters (MaxHR, MHR, MinHR), Oxygen Desaturation Index (ODI), mean apnea duration, longest apnea duration, mean hypopnea duration, longest hypopnea duration, minimum oxygen saturation (minSpO2), and the percentage of time with oxygen saturation below 90% (T90).
2. Angio-IMR Assessment Data Acquisition and Technique: Clear angiographic images of the LAD, LCX, and RCA were acquired from at least two different projection angles. Images were required to be free of vessel overlap and foreshortening. Three-dimensional reconstruction and hemodynamic calculations were performed using dedicated software (AccuIMR, Version 1.0; ArteryFlow Technology, Hangzhou, Zhejiang, China).An Angio-IMR value \> 25 U was defined as the threshold for diagnosing CMD.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
2. Scheduled for elective coronary angiography due to symptoms or evidence of myocardial ischemia.
3. Agreed to and capable of completing overnight polysomnography (PSG) monitoring.
4. Provided written informed consent and were willing and able to comply with baseline assessments and long-term follow-up.
Exclusion Criteria
2. Sleep-disordered breathing with central sleep apnea (CSA) as the primary manifestation.
3. Severe hepatic insufficiency (Child-Pugh class C) or renal failure (eGFR \< 30 mL/min/1.73 m²).
4. Pregnancy or lactation.
5. Life expectancy of less than 2 years, or any other condition that the investigators considered unsuitable for participation in the study.
18 Years
80 Years
ALL
No
Sponsors
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Beijing Anzhen Hospital
OTHER
Responsible Party
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Locations
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Beijing Anzhen Hospital, Capital Medical University
Beijing, , China
Countries
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Central Contacts
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Facility Contacts
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References
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Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, Funck-Brentano C, Prescott E, Storey RF, Deaton C, Cuisset T, Agewall S, Dickstein K, Edvardsen T, Escaned J, Gersh BJ, Svitil P, Gilard M, Hasdai D, Hatala R, Mahfoud F, Masip J, Muneretto C, Valgimigli M, Achenbach S, Bax JJ; ESC Scientific Document Group. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. Eur Heart J. 2020 Jan 14;41(3):407-477. doi: 10.1093/eurheartj/ehz425. No abstract available.
Other Identifiers
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BeijingAnzhen
Identifier Type: -
Identifier Source: org_study_id
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