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.