Metabolic Characteristics and Prognostic Model of Acute Coronary Syndrome Complicated With Obstructive Sleep Apnea (OSA-ACS-Met)

February 4, 2026 updated by: WeiGong, Beijing Hospital

Metabolic Characteristics Analysis and Precise Prognostic Model Establishment for Patients With Acute Coronary Syndrome Complicated With Obstructive Sleep Apnea

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 Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Estimated)

1200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Hospitalized patients diagnosed with ACS at Beijing Hospital.

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Incidence of Major Adverse Cardiovascular and Cerebrovascular Events (MACCE)
Time Frame: 12 Months
12 Months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Beijing Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

February 1, 2026

Primary Completion (Estimated)

December 31, 2027

Study Completion (Estimated)

December 31, 2027

Study Registration Dates

First Submitted

February 4, 2026

First Submitted That Met QC Criteria

February 4, 2026

First Posted (Actual)

February 9, 2026

Study Record Updates

Last Update Posted (Actual)

February 9, 2026

Last Update Submitted That Met QC Criteria

February 4, 2026

Last Verified

February 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2025BJYYEC-KY309-02

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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