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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.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Biological Sample Collection | Other | Collection of blood, urine, and stool samples for metabolomics analysis. |
| Measure | Description | Time Frame |
|---|---|---|
| Incidence of Major Adverse Cardiovascular and Cerebrovascular Events (MACCE) | 12 Months |
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Inclusion Criteria:
Exclusion Criteria:
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Hospitalized patients diagnosed with ACS at Beijing Hospital.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Wei Gong | Contact | +86 13717676086 | gongwei5180@bjhmoh.cn |
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| ID | Term |
|---|---|
| D012891 | Sleep Apnea Syndromes |
| ID | Term |
|---|---|
| D001049 | Apnea |
| D012120 | Respiration Disorders |
| D012140 | Respiratory Tract Diseases |
| D020919 | Sleep Disorders, Intrinsic |
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| D020920 |
| Dyssomnias |
| D012893 | Sleep Wake Disorders |
| D009422 | Nervous System Diseases |