Outcomes for people hospitalized with coronary artery disease
Official title: Clinical Outcomes of Patients With Coronary Artery Disease Cohort Study
Run by Shenyang Northern Hospital · NCT06216847 · Data updated 2026-11-12
This project will see how diagnostic tests and real-world treatment choices relate to outcomes for adults hospitalized with confirmed or suspected coronary heart disease.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 10000 (estimated) |
| Sponsor | Shenyang Northern Hospital Academic / other |
| Locations | 1 site (Shenyang, Liaoning) |
| Status | Recruiting |
| Started | February 21, 2024 |
| Main results expected | October 31, 2026 |
| Study ends | October 31, 2030 |
| Registry record updated | September 10, 2025 |
| Trial ID | NCT06216847 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (age 18+) hospitalized with confirmed or suspected coronary heart disease who can provide consent and who undergo at least one coronary imaging and one functional test are ideal candidates.
✕Probably not a fit
People who cannot complete required imaging or functional testing, who have very limited life expectancy, or who cannot participate in follow-up are unlikely to benefit from the study's findings.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is a prospective, multi-center cohort enrolling adults hospitalized with confirmed or suspected coronary heart disease to build a comprehensive clinical and imaging dataset. Participants will undergo at least one coronary imaging test (CTA, IVUS, or OCT) and one functional assessment (FFR, CT-FFR, or QFR), with treatments and outcomes recorded over time. The investigators will combine lesion-level imaging, lab and clinical data to explore inflammation-related risk, lesion-based risk stratification, and real-world antithrombotic strategies. Big-data mining methods will be used to derive risk models and optimize clinical decision pathways.
Why it matters
Potential benefit: If successful, the findings could help doctors personalize diagnosis and treatment plans to reduce heart attacks and other bad outcomes in people with coronary disease.
How similar studies have gone: Large registries and cohort studies have yielded valuable real-world insights for coronary disease, but combining detailed lesion imaging, functional testing, and big-data analytics in a single 'holographic' dataset is relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years old * Hospitalization due to either confirmed or suspected CHD combined with one of the following features: previous PCI or CABG; previous myocardial infarction; previous coronary angiography revealing ≥ 50% stenosis in major coronary vessels; presentation with chest pain and pre-test probability of CHD \> 65%; laboratory tests revealing objective evidence of myocardial ischemia; coronary CT angiography (CTA) showed ≥ 30% stenosis in major coronary vessels * Subjects undergoing at least one coronary imaging and one functional examination. Imaging examinations include coronary CTA, intravascular ultrasound (IVUS), or optical coherence tomography (OCT). Functional examination include fraction flow reservation (FFR), CT-FFR or quantitative flow ratio (QFR). * Written informed consent provided. Exclusion Criteria: * History of mental illness, drug or alcohol abuse, or being unable to cooperate with follow-up visits for any reason; * Life expectancy \<1 year * Pregnant or plan to be pregnant within 1 year * Subjects participating in any other clinical trial * Other conditions deemed unsuitable for inclusion by the investigator
Where it's running
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General Hospital of Northern Theater Command
Shenyang, Liaoning, China Recruiting
Study contacts
- Principal investigator: Yaling Han, MD — The General Hospital of Northern Theater Command
- Study coordinator: Yi Li, MD
- Email: doctorliyi@126.com
- Phone: +86-24-28897309
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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.