Arrhythmias & electrophysiologyDiagnostic or prognostic study
A novel predictive model for left atrial low-voltage areas in paroxysmal atrial fibrillation
- develop and validate a novel predictive model
- independent prospective cohort and multicenter cohort for validation
- logistic regression
Authors' conclusion
The HeSLeF-PC score could effectively predict the presence of left atrial LVAs in patients with paroxysmal AF and may assist in preprocedural risk stratification and ablation planning.
Study context
- Population
- Patients with paroxysmal atrial fibrillation (AF) receiving their initial radiofrequency ablation in the Department of Cardiology at Shanghai East Hospitalpatients with paroxysmal AF enrolled, 104 (27.2%) had left atrial low-voltage areas (LVAs)
- Participants
- 383 patients
- Comparison
- HeSLeF-PC score for predicting the presence of left atrial LVAs
Performance
As reported in the abstract
Presence of left atrial LVAs
patients with left atrial LVAs, of the 383 enrolled
104 patients (27.2%)
Further findings
| Outcome | prospective cohort | multicenter cohort |
|---|---|---|
| Discrimination of the HeSLeF-PC score for left atrial LVAs | ||
| AUROC | 0.826 | 0.767 |
| 95% CI | 0.757-0.896 | 0.678-0.857 |
- Discrimination of the HeSLeF-PC score for left atrial LVAs: development AUROC 0.810 · 95% CI 0.762-0.859
Independent predictors of LVAs (multivariate logistic regression)
- female sex, prior stroke, left atrial diameter, PR interval, hemoglobin level, and serum creatinine level were independent predictors of LVAs
Decision curve analysis
- Decision curve analysis confirmed its clinical utility
Original publication
A novel predictive model for left atrial low-voltage areas in paroxysmal atrial fibrillation. Heart Rhythm. Published 6 February 2026. doi:10.1016/j.hrthm.2026.01.047
Summarised from the published abstract; every number is checked against it