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ABSTRACT: Background
In recent years, novel cardiometabolic biomarkers and related pathogenic genes and their heritability have been examined. However, no multitarget predictive evaluation models exist can identify and predict complex lesions in unstable angina (UA) in the early stages before coronary angiography (CAG) or evaluate the prognosis of patients with UA and complex lesions. In this study, we sought to investigate the correlation between blood lipid, glucose, and inflammatory indices and the occurrence and prognosis of UA with complex lesions, and also the risk factors for major adverse cardiocerebrovascular events (MACCEs).Methods
Patients with UA who underwent percutaneous coronary intervention (PCI) at Chaoyang Hospital between March 2019 and December 2020 were included.
SUBMITTER: Xu Y
PROVIDER: S-EPMC11833552 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature