Identify people at high risk of coronary heart disease using retinal images and blood markers
Official title: Identification for High Risk of Coronary Heart Disease Based on Quantitative Analysis of Fundus Vessels and Metabolic Molecules
Run by Beijing Hospital · NCT07773064 · Data updated 2026-11-12
This observational study tests whether retinal blood vessel measurements and blood biomarkers can predict who is at high risk for coronary heart disease.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 100 Years |
| Sex | All |
| Enrollment | 3000 (estimated) |
| Sponsor | Beijing Hospital Government |
| Drugs / interventions | chemotherapy |
| Locations | 3 sites (Beijing, Beijing Municipality and 2 other locations) |
| Status | Recruiting |
| Started | May 14, 2024 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2027 |
| Registry record updated | August 20, 2026 |
| Trial ID | NCT07773064 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults over 18 with symptoms of myocardial ischemia or multiple CAD risk factors who had coronary angiography and blood samples taken, plus bilateral fundus photographs and complete clinical data.
✕Probably not a fit
Patients without available baseline retinal imaging, blood samples, or complete clinical data, or those meeting exclusion criteria, may not benefit from the model.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The study combines retrospective and prospective data from CAD patients to build a comprehensive database that includes demographics, lab tests, coronary angiography, retinal vessel metrics, and multi-omics data. Artificial intelligence will quantify retinal vessels and help develop models to identify and predict CAD. Targeted LC-MS/MS assays will measure CAD-related biomarkers in stored baseline samples, and results will be integrated with clinical and imaging data to create a risk-stratification model. Participants will be followed over time for cardiovascular events to validate the model.
Why it matters
Potential benefit: If successful, the model could help clinicians identify high-risk individuals earlier using noninvasive retinal imaging and biomarker data.
How similar studies have gone: Prior work using retinal features and omics data has shown promise in risk stratification, but this approach remains exploratory and requires validation.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Older than 18 years * Symptoms suggestive of myocardial ischemia or the presence of multiple cardiovascular disease risk factors * Underwent coronary angiography during hospitalization * Underwent blood sample collection during hospitalization * Underwent bilateral color fundus photography during hospitalization * Availability of complete clinical data Exclusion Criteria: * History of heart transplantation or other solid-organ transplantation * Severe heart failure, defined as New York Heart Association (NYHA) functional class IV or left ventricular ejection fraction (LVEF) ≤20% * History of severe congenital heart disease, valvular heart disease, myocardial disease, pericardial disease, or aortic dissection * Pregnancy, breastfeeding, or plans to become pregnant during the study period * Progressive life-threatening disease * History of alcohol or drug abuse * Current treatment for a psychiatric disorder * Current receipt of radiotherapy or chemotherapy for a malignant tumor * Acute or chronic infectious disease * Severe hepatic insufficiency, renal insufficiency, thyroid disease and autoimmune disease * Life expectancy of less than 5 years * Ophthalmic diseases affecting the retinal vasculature or optic disc structure, including retinal artery occlusion, retinal vein occlusion, glaucoma, or congenital optic disc abnormalities * Color fundus photographs of insufficient quality because of severe ocular media opacity
Where it's running
-
Beijing Hospital
Beijing, Beijing Municipality, China Recruiting -
Beijing Friendship Hospital, Capital Medical University
Beijing, Beijing Municipality, China Not yet recruiting -
Beijing Haidian Hospital
Beijing, Beijing Municipality, China Completed
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.