Key result
Persistent AF is linked to ~97% greater 12-month recurrence risk after catheter ablation.
Why the study?
Existing risk models for AF recurrence after catheter ablation apply the same predictor structure to every patient, overlooking biological differences between early and advanced disease.
Cohort (n=419)
No
Odds Ratio: 1.968 (95% CI 1.152–3.364)
p-value: p=0.013
Clinical predictors of atrial fibrillation recurrence after catheter ablation vary significantly depending on the disease-stage phenotype, suggesting that fixed-weight risk scores may be inadequate across the full spectrum of AF.
AF recurrence predictors vary by disease-stage phenotype; supports tailored models but leaves open prospective validation before clinical use.
Background Risk models for atrial fibrillation (AF) recurrence after catheter ablation apply the same predictor structure to every patient. This overlooks the biological differences between early and advanced disease. We examined whether the clinical predictors of 12-month recurrence differ across four disease-stage phenotypes. Methods This retrospective cohort study enrolled 419 consecutive patients who underwent first-time radiofrequency ablation at Xiangya Hospital, Central South University, between October 2021 and June 2024. The institutional protocol was pulmonary vein isolation (PVI) alone, and patients undergoing concurrent left atrial appendage occlusion were excluded. Patients were classified by AF type and duration into four groups: early paroxysmal (Phenotype 1, ≤ 12 months, n = 225), long-standing paroxysmal (Phenotype 2, > 12 months, n = 86), recent-onset persistent (Phenotype 3, ≤ 18 months, n = 62), and long-duration persistent AF (Phenotype 4, > 18 months, n = 46). We performed phenotype-specific logistic regression, predictor × phenotype interaction testing, Kaplan–Meier and restricted mean survival analysis, and ROC analysis. Results Twelve-month recurrence occurred in 88 patients (21.0%) and differed significantly across phenotypes (17.3%, 20.9%, 16.1%, and 45.7% in P1–P4; p < 0.001). Recurrence-free survival was worst in P4 (log-rank p < 0.001). In the overall model (AUC 0.672), the independent predictors were persistent AF type, longer duration, and hypertension, the last associated with lower recurrence. Phenotype-specific models revealed distinct profiles, and the sex × phenotype interaction was formally significant ( p = 0.0042). In P1, younger age was the only predictor (AUC 0.701). In P3, female sex and hypertension were apparent predictors (apparent AUC 0.862; recurrence 43.8% in women vs. 6.5% in men), although this estimate is subject to optimism given only 10 events. In P4, no clinical variable was associated with recurrence despite its 45.7% rate, though power was insufficient to exclude moderate associations. The protective direction of hypertension strengthened across P1–P3 before disappearing in P4. Conclusion In this exploratory, single-center analysis, the clinical predictors of post-ablation AF recurrence appeared to shift across the four disease-stage phenotypes, with formal statistical support for sex. We propose the Predictor Lifecycle as a testable hypothesis for prospective, multicenter validation. These findings are hypothesis-generating and do not constitute a validated risk-stratification framework for clinical use.
No takes yet. Share an insight, caveat, or question.
Abdo et al. (2026) conducted a cohort in Atrial fibrillation (n=419). Persistent AF type vs. Paroxysmal AF type was evaluated on 12-month AF recurrence (OR 1.968, 95% CI 1.152-3.364, p=0.013). Clinical predictors of 12-month atrial fibrillation recurrence after catheter ablation shifted across disease-stage phenotypes, with persistent AF type independently predicting recurrence overall (OR 1.968).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: