Heart failure & cardiomyopathies
Polygenic risk-based prediction of heart failure in young patients with atrial fibrillation: an analysis from UK Biobank
Main finding · Incident HFResult — go to the resultAdjusted hazard ratio 1.18 95% CI 1.05–1.32Authors' conclusion
PRS for HF can significantly improve the prediction of incident HF in patients with AF, especially in the young population
Study context
- Population
- White Caucasian UK Biobank participants with newly diagnosed atrial fibrillation (AF) without prior heart failure (HF); mean age 69.0 ± 6.9 years
- Participants
- 21,167 participants
- Exposure
- Moderate-high vs low polygenic risk score for HF
- Outcome
- Incident HF
- Follow-up
- Median 3.8 (1.4-7.2) years
Methodological detailsUK Biobank
- UK Biobank
Main finding
As reported in the abstract
Adjusted hazard ratio
1.18
95% CI 1.05–1.32
P = 0.005
Moderate-high PRSvs Low PRS
adjusted HR 1.18 (95% CI 1.05–1.32); P = 0.005
- Incidence rate of HF (per 1000 patient-years), total population
- 29.9
Observational data: associations, not effects.
Further findings
| Outcome | Adjusted HR (95% CI) | |
|---|---|---|
| Incident HF, by age subgroupYoung AF (age <60 years) | 2.14 (1.29–3.57) | |
| Incident HF, by age subgroupOld AF (age ≥60 years) | 1.13 (1.01–1.27) | |
| 0.20.5125Adjusted hazard ratio (log scale) |
Time from AF diagnosis to incident HF (young AF)
P = 0.001
- Incident HF, by age subgroup: P-for-interaction = 0.015
Net reclassification improvement from adding polygenic risk score (PRS) to clinical risk factors (young AF)
- Net reclassification improvement
- 29.7% (P = 0.003)
Original publication
Polygenic risk-based prediction of heart failure in young patients with atrial fibrillation: an analysis from UK Biobank. Europace. Published 19 May 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →