| Title: | Predictors of Cardiovascular Disease in Individuals With Dysbetalipoproteinemia: A Prospective Study in the UK Biobank |
| Journal: | The Journal of Clinical Endocrinology & Metabolism |
| Published: | 7 Sep 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39243385/ |
| DOI: | https://doi.org/10.1210/clinem/dgae618 |
Publication 13545
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Abstract
BACKGROUND: Dysbetalipoproteinemia (DBL) is a disorder of remnant cholesterol metabolism associated with a severe risk of atherosclerotic cardiovascular disease (ASCVD).</p>
OBJECTIVE: The objective of this study was to investigate the univariate and multivariate predictors of ASCVD in individuals with DBL.</p>
METHODS: Data from 2699 individuals with ɛ2/ɛ2 genotypes from the UK Biobank were included in this study. DBL was defined as having an ɛ2ɛ2 genotype with evidence of dyslipidemia, defined as total cholesterol ≥ 200 mg/dL (5.2 mmol/L) and triglyceride ≥ 175 mg/dL (2.0 mmol/L) or lipid-lowering therapy use (n = 964).</p>
RESULTS: Age, hypertension, waist circumference, and a polygenic risk score for coronary artery disease (PRSCAD) were independent predictors of ASCVD among individuals with DBL. Cumulative ASCVD-free survival was lower in the ɛ2/ɛ2 DBL group (84%) compared to the ɛ2/ɛ2 non-DBL group (94%) (P < .0001) and for DBL individuals with a PRSCAD ≥ median (79%) compared to those with a PRSCAD < median (89%) (P = .001).</p>
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.</p>
16 Keywords
- Adult
- Aged
- Atherosclerosis
- Biological Specimen Banks
- Cardiovascular Diseases
- Female
- Genotype
- Humans
- Hyperlipoproteinemia Type III
- Male
- Middle Aged
- Prognosis
- Prospective Studies
- Risk Factors
- UK Biobank
- United Kingdom
5 Authors
- Martine Paquette
- Mark Trinder
- Simon-Pierre Guay
- Liam R Brunham
- Alexis Baass
1 Application
| Application ID | Title |
|---|---|
| 42857 | Influence of plasma lipoprotein genetics on infectious disease outcomes |
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