| Title: | Comparison of Lipid-Derived Indices with Conventional Lipoprotein Tests and Apolipoproteins for Cardiovascular Disease Prediction Using UK Biobank Data |
| Lead Institution: | Beijing Tsinghua Changgung Hospital |
| Principal investigator: |
Application 531547
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About
The objective of this project is to compare various lipid-derived indices with conventional lipoprotein tests and apolipoproteins to identify the most valuable biomarkers for cardiovascular disease (CVD) prediction. Using data from the UK Biobank, we will assess a range of lipid measurements, including total cholesterol, HDL-C, non-HDL-C, direct and calculated LDL-C, apolipoproteins A1 and B, and novel lipid-derived markers. Through Cox proportional hazard models adjusted for classical CVD risk factors, we will evaluate the predictive value of these lipid indices in association with both fatal and nonfatal CVD events. The study aims to determine whether novel lipid-derived markers offer superior predictive accuracy compared to conventional lipid profiles and apolipoproteins. Our goal is to identify the most effective biomarkers for CVD risk assessment, providing evidence to guide future clinical practices in cardiovascular risk evaluation.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 21074 | Remnant cholesterol-incorporating dual-axis lipid risk stratification using apolipoprotein B and the LDL-C to total cholesterol ratio: a prospective cohort study from the UK Biobank | Bin Wang (+1) | 2026 | Lipids in Health and Disease |
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