Heart failure & cardiomyopathies
Predicting new-onset heart failure hospitalization of patients with atrial fibrillation: development and external validations of a risk score
Authors' conclusion
The novel risk model with four readily available clinical characteristics and biomarkers performed well in predicting new-onset HF admission in patients with AF.
Study context
- Population
- Patients with atrial fibrillation (AF) without a history of heart failure (HF)
- Participants
- 2,857 vs 2,516
- Comparison
- RAFFINE vs SAKURA
- RAFFINEn = 2,857
- SAKURAn = 2,516
- Outcome
- New-onset HF admission
Methodological detailsmulticentre, prospective, observational registries
- Multicentre
- Prospective
- Observational registries
Performance
As reported in the abstract
Risk model performance for new-onset HF admission
- AUC, derivation cohort
- 0.80 (95% CI 0.76-0.84)
- Hosmer-Lemeshow, derivation cohort
- P = 0.257
- AUC, validation cohort
- 0.78 (95% CI 0.74-0.83)
- Hosmer-Lemeshow, validation cohort
- P = 0.475
Further findings
Incident HF · median follow-up 1396 (IQR 1078-1820) and 1168 (IQR 844-1309) days
Original publication
Predicting new-onset heart failure hospitalization of patients with atrial fibrillation: development and external validations of a risk score. Eur Heart J Qual Care Clin Outcomes. Published 20 December 2022. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →