Risk Evaluation by COronary Imaging and Artificial intelliGence Based fuNctIonal analyZing tEchniques - IV

Recruiting now

Conditions studied: Coronary Artery Disease, Coronary Atheroscleroses, Acute Coronary Syndromes (ACS), Chronic Coronary Syndrome

In brief

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.

Key facts

Study ID
NCT06793787
Run by
Ruijin Hospital
People needed
200
Starts
2024-07-01
Expected to finish
2027-12-31
Last updated by the study team
2025-01-27

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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