Risk Evaluation by COronary Imaging and Artificial intelliGence Based fuNctIonal analyZing tEchniques - IV
NCT06793787 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2025-01-27
Summary
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.
Conditions
- Coronary Artery Disease
- Coronary Atheroscleroses
- Acute Coronary Syndromes (ACS)
- Chronic Coronary Syndrome
Sponsors & Collaborators
-
Ruijin Hospital
lead OTHER
Principal Investigators
-
Ruiyan Zhang, M.D.,Ph.D. · Ruijin Hospital
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-07-01
- Primary Completion
- 2025-12-31
- Completion
- 2027-12-31
Countries
- China
Study Locations
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