Key result
Clinical risk model predicts paroxysmal AF progression with a C-statistic of ~0.65.
Why the study?
AF often progresses from paroxysmal to persistent forms, but predicting progression remains challenging; this study evaluated the performance of a clinical risk prediction model in the complete RACE V cohort over extended follow-up.
Does a clinical risk prediction model accurately predict AF progression in patients with paroxysmal atrial fibrillation?
Observational (n=612)
Does a clinical risk prediction model accurately predict AF progression in patients with paroxysmal atrial fibrillation?
Effect estimate: C-statistic 0.647 (95% CI 0.590-0.704)
A clinical risk prediction model showed moderate discriminative ability (C-statistic 0.647) for identifying patients with paroxysmal atrial fibrillation at risk of progression over a 3.4-year follow-up.
Modest discrimination precludes routine clinical use in paroxysmal AF; leaves open whether refined models improve risk stratification.
Background: Atrial fibrillation (AF) often progresses from paroxysmal AF (PAF) to more persistent forms, but predicting which patients progress remains a challenge. The RACE V study is a prospective, observational study aiming to characterize phenotypical differences between patients with and without AF progression. Based on interim data of the RACE V study, a clinical risk prediction model for AF progression in patients with PAF was previously developed. The aim of the current analysis is to assess its performance in the complete cohort over extended follow-up.Methods: In the RACE V study, 612 patients with PAF were extensively phenotyped and continuously monitored using implantable loop recorders to track AF recurrences. AF progression was the primary outcome, defined as (1) progression to persistent or permanent AF, or (2) AF burden increase > 3%, during complete follow-up. Prediction model performance was assessed using receiver operating characteristic ( ROC) curve-derived area under the curve (AUC).Results: Patients had a median age 64 [57 – 70] years, and 42% female. During a follow-up of 3.4 (2.8 – 3.7) years, 108 (5.2%/year) patients progressed. The risk prediction model demonstrated a C-statistic of 0.647 (95% CI: 0.590–0.704).Conclusions: The model may help clinicians identify patients at risk of progression, showing consistent performance in the whole cohort over extended follow-up.
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Baron et al. (2025) conducted an observational in paroxysmal atrial fibrillation (n=612). Clinical risk prediction model was evaluated on AF progression (progression to persistent or permanent AF, or AF burden increase > 3%) (C-statistic 0.647, 95% CI 0.590-0.704). A clinical risk prediction model for atrial fibrillation progression in patients with paroxysmal AF demonstrated a C-statistic of 0.647 (95% CI 0.590-0.704) over 3.4 years of follow-up.
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