Risk Evaluation by Coronary Imaging and Artificial Intelligence-Based Functional Analyzing Techniques: Plasma Proteomic Profiles of Atheroma Classified by Intracoronary Imaging.
This study is a single-center, prospective cohort study. The study is designed to identify novel circulating biomarkers for early prediction of high-risk coronary plaques. Patients diagnosed with chronic coronary syndrome (CCS) or non-ST-segment elevation acute coronary syndrome (NSTE-ACS), with marginal lesions or obstructive lesions in major coronary arteries detected by noninvasive coronary CT angiography (CCTA) or invasive coronary angiography (ICA), will be consecutively enrolled. Optical coherence tomography (OCT), with or without other intracoronary imaging modalities such as intravascular ultrasound (IVUS) and near infrared spectroscopy (NIRS), will be performed. Liquid chromatography-mass spectrometry (LC-MS/MS), bioinformatic analysis, and machine learning methods will be performed to characterize plasma proteomic profiles. The cohort will be followed-up every 3 months for 2 years. The association of novel biomarkers with the occurrence of major adverse cardiovascular events (MACEs) will be examined.
• Age ≥ 18 years
• Patients with CCS or NSTE-ACS
• Receive CCTA scan or ICA, with marginal lesions (DS between 40%-69%) or obstructive lesions (DS ≥70% or CT-FFR/FFR \<0.8) in major coronary arteries
• Receive invasive coronary angiography and OCT, with or without other intracoronary imaging techniques such as IVUS and NIRS