Metabolic Characteristics and Prognostic Model of Acute Coronary Syndrome Complicated With Obstructive Sleep Apnea

N/ANot Yet RecruitingNCT07398430

Beijing Hospital1,200 enrolled

Overview

Obstructive sleep apnea (OSA) significantly increases the risk of cardiovascular events in patients with acute coronary syndrome (ACS), yet the underlying metabolic mechanisms remain unclear. This study aims to analyze the metabolic characteristics of ACS patients with OSA using metabolomics based on a prospective cohort. The study intends to construct an artificial intelligence-based risk stratification model to improve prognosis prediction and facilitate precision medicine for this population.

Study Type

OBSERVATIONAL

Enrollment

1,200

Conditions

Sleep Disordered Breathing (SDB)

Interventions

Biological Sample CollectionOTHER

Collection of blood, urine, and stool samples for metabolomics analysis.

Eligibility

Sex: ALLMin age: 18 YearsMax age: 85 Years

Medical Language ↔ Plain English

Inclusion Criteria: * Age 18-85 years. * Diagnosed with ACS, including ST-segment elevation myocardial infarction, non-ST-segment elevation myocardial infarction, and unstable angina. * Willing to participate and sign the informed consent form. Exclusion Criteria: * Cardiogenic shock or cardiac arrest. * Central sleep apnea or other types of sleep disordered breathing. * Previous or current treatment with continuous positive airway pressure. * Inability to complete polysomnography or invalid data. * Malignancy or life expectancy \< 1 year.

Outcomes

Primary Outcomes

Incidence of Major Adverse Cardiovascular and Cerebrovascular Events (MACCE)

Time frame: 12 Months

Central Contacts

Wei Gong

CONTACT

+86 13717676086 gongwei5180@bjhmoh.cn

Data from ClinicalTrials.gov

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