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Coronary Imaging and Metabolic Indicators-Based Risk Prediction Model for Coronary Artery Disease(CMI-RiskCAD)
Sponsor: Beijing Anzhen Hospital
Summary
The primary design of this study is an ambispective cohort study. We plan to integrate coronary imaging features (including parameters derived from Coronary Computed Tomography Angiography(CCTA) and coronary angiography(CAG)), coronary functional indices (e.g., FFR, QFR), and metabolic biomarkers (e.g., LDL-C, Lp(a), hs-CRP). First, we will develop a multimodal risk prediction model for coronary artery disease using a retrospective cohort; subsequently, we will validate the model in a prospective cohort to assess its performance in discriminating high- versus low-risk individuals and to explore its potential clinical utility for risk stratification and decision-making.
Official title: Coronary Imaging and Metabolic Indicators-Based Risk Prediction Model for Coronary Artery Disease:A Retrospective and Prospective Cohort Study
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
10960
Start Date
2026-01-01
Completion Date
2035-12-31
Last Updated
2026-01-20
Healthy Volunteers
No
Locations (1)
Beijing Anzhen Hospital, Capital Medical University
Beijing, China