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The goal of this observational study is to investigate the structural composition and metabolic characteristics of OxPLs in STEMI patients. Explore OxPLs characteristic fingerprint biomarkers from different populations and analyze OxPLs fingerprint spectra. Based on the OxPLs fingerprint of STEMI patients, a machine learning classifier is used to establish an artificial intelligence assisted post PCI MACE risk prediction system, achieving the transformation of basic research into clinical application.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Healthy | Healthy people | ||
| CAD | Stable coronary heart disease patient | ||
| STEMI-M | Male patients with ST segment elevation myocardial infarction | ||
| STEMI-F | female patients with ST segment elevation myocardial infarction |
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| Measure | Description | Time Frame |
|---|---|---|
| Number of Participants with Treatment-Related Adverse Events as Assessed by CTCAE v5.0 | 12 months |
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Inclusion Criteria:
Exclusion Criteria:
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STEMI patients admitted to our cardiovascular department for concurrent PCI surgery between January 2025 and December 2025.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| First Affiliated Hospital of Ningbo University | Ningbo | Zhejiang | 315010 | China |
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