Coronary Artery Calcium Score-Weighted Clinical Likelihood Model Performance in Patients with Stable Chest Pain and Coronary Artery Calcium Scores of Zero.
Yahang Tan, Chang Liu, Tao Chen...
https://pubmed.ncbi.nlm.nih.gov/39076944Actively Recruiting
Age: 18Years +
All Genders
ID04691037
Improving the Clinical Management of Stable Chest Pain Using Coronary Computed Tomography Angiography
Led by Tianjin Chest Hospital · Updated on 2024-03-28
50000
Participants Needed
4
Research Sites
N/A
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are enrolling patients who have stable chest pain suspected to be caused by obstructive coronary artery disease. These patients are referred for coronary computed tomography angiography (CCTA), a detailed heart imaging test, to better understand their condition. The study aims to see if using CCTA images can improve how doctors manage stable chest pain, potentially leading to fewer major heart-related problems and better decisions about further tests and treatments. All participants receive CCTA scans following standard guidelines and hospital protocols. The images are analyzed using specialized software to examine the coronary arteries' structure, function, and tissue characteristics. This observational study collects detailed imaging data to explore how this information can guide clinical decisions and improve patient outcomes. Participants are monitored over a long period, up to 10 years, to track important heart events such as major adverse cardiovascular events, invasive coronary angiography, medication use, revascularization procedures, death, stroke, cardiac death, and heart attacks. This extended follow-up helps researchers understand the impact of CCTA-based management on patient health and treatment effectiveness.
CONDITIONS
Brief Title
CCTA Improves Clinical Management of Stable Chest Pain
Who Can Participate
Age: 18Years +
All Genders
Eligibility Criteria
You may qualify if you...
- Symptomatic patients with stable chest pain suspected of obstructive coronary artery disease
- Referred for coronary computed tomography angiography (CCTA) to assess stable chest pain
- 18 years of age or older
- Signed informed consent
You will not qualify if you...
- Acute coronary syndromes
- Previous coronary artery disease or coronary revascularization
- Non-sinus heart rhythm
- Cardiomyopathy, valvular disease, congenital heart disease, or left cardiac insufficiency from other causes
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
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Your Study Journey
Screening
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
Diagnostic Evaluation
Duration - Single time point
Participants undergo coronary computed tomography angiography (CCTA) to assess stable chest pain according to established guidelines and local protocols.
1 visit (in-person)
Long-term Monitoring
Duration - Up to 10 years
Participants are monitored for major cardiovascular events and clinical outcomes over an extended period.
Periodic follow-up visits over 10 years
Trial Site Locations
Total: 4 locations
1
Beijing Chaoyang Hospital
Beijing, Beijing Municipality, China
Actively Recruiting
2
Hebei Petrochina Central Hospital
Langfang, Hebei, China
Actively Recruiting
3
Tianjin Chest Hospital
Tianjin, Tianjin Municipality, China, 300000
Actively Recruiting
4
Tianjin First Central Hospital
Tianjin, Tianjin Municipality, China
Actively Recruiting
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Research Team
J
Jia Zhou
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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Published Research Related To This Trial
Association between Coronary Artery Disease Reporting and Data System-recommended Post-Coronary CT Angiography Management and Clinical Outcomes in Patients with Stable Chest Pain from a Chinese Registry.
Jia Zhou, Chunjie Li, Hong Zhang...
https://pubmed.ncbi.nlm.nih.gov/37310243Validation and Comparison of PROMISE and CONFIRM Model to Predict High-Risk Coronary Artery Disease in Symptomatic and Diabetes Mellitus Patients.
Hantao Jiang, Jinping Feng, Chao Feng...
https://pubmed.ncbi.nlm.nih.gov/35345247