Lipids & metabolic liver disease
Predictors of Cardiovascular Disease in Individuals With Dysbetalipoproteinemia: A Prospective Study in the UK Biobank
Authors' conclusion
We show in a large prospective cohort that a PRSCAD predicts the ASCVD risk among individuals with DBL. The findings of the present study highlight the need for better risk stratification in ɛ2/ɛ2 carriers to identify high-risk individuals who would need aggressive cardiovascular management despite their low apolipoprotein B value.
Study context
- Population
- Individuals with ɛ2/ɛ2 genotypes from the UK Biobank
- Participants
- 2,699 individuals
- Exposure
- ɛ2/ɛ2 dysbetalipoproteinemia (DBL) vs ɛ2/ɛ2 non-DBL; Polygenic risk score for coronary artery disease (PRSCAD) ≥ median vs < median among DBL
- ɛ2/ɛ2 DBLn = 964
- Outcome
- Predictors of ASCVD in individuals with DBL
Methodological detailsUK Biobank
- UK Biobank
Main finding
As reported in the abstract
Independent predictors of ASCVD among DBL
- Age, hypertension, waist circumference and PRSCAD were independent predictors of atherosclerotic cardiovascular disease (ASCVD) among individuals with DBL
Observational data: associations, not effects.
Further findings
Cumulative ASCVD-free survival · lower with ɛ2/ɛ2 DBL
P < 0.0001
| Outcome | P value |
|---|---|
| Cumulative ASCVD-free survival in DBL, by PRSCADPRSCAD ≥ median vs PRSCAD < median · lower with PRSCAD ≥ median | P = 0.001 |
- Cumulative ASCVD-free survival in DBL, by PRSCAD: PRSCAD ≥ median 79%
- Cumulative ASCVD-free survival in DBL, by PRSCAD: PRSCAD < median 89%
Original publication
Predictors of Cardiovascular Disease in Individuals With Dysbetalipoproteinemia: A Prospective Study in the UK Biobank. J Clin Endocrinol Metab. Published 7 September 2024. doi:10.
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