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.
Eligibility
Sex
ALL
Min age
50 Years
Max age
70 Years
Healthy volunteers
Accepted
Inclusion Criteria:
* The patient meets the diagnostic criteria for STEMI (refer to the "Diagnosis and Treatment Guidelines for Acute ST Segment Elevation Myocardial Infarction (2021)")
* Agree to perform direct PCI
* The onset time is less than 12 hours and successfully undergoing emergency PCI treatment
* After admission, all STEMI patients are routinely treated with antiplatelet aggregation, anticoagulation, lipid-lowering, and anti myocardial remodeling drugs.
Exclusion Criteria:
* Previous history of myocardial infarction
* Accompanied by other cardiovascular diseases, such as severe heart valve disease, severe heart failure, congenital heart disease, cardiomyopathy, etc
* Merge with severe infection
* Merge with severe anemia
* Merge with severe liver and kidney dysfunction
* Combined with malignant tumors
* Accompanied by a history of autoimmune or hematological diseases
* Recent history of severe trauma or surgery
* Patients with incomplete clinical data
* The patient does not agree to undergo data collection
Primary outcome measure(s)
Number of Participants with Treatment-Related Adverse Events as Assessed by CTCAE v5.0 — 12 months
Trial sites (1)
Facility
City
Region
Status
First Affiliated Hospital of Ningbo University
Ningbo
Zhejiang
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This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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