Abstract Number: Esoc2026a676 Atrial Fibrillation Detection After Embolic Stroke of Undetermined Source: a Cross-validation and Atrial Fibrillation-free Survival Analysis of the Catch-af Score
Year: 2026
Type: conference-abstract
Abstract: Background and aims Embolic stroke of undetermined source (ESUS) accounts for up to one quarter of ischemic strokes, with occult atrial fibrillation (AF) as a key underlying cause. Implantable cardiac monitors (ICMs) markedly improve AF detection but are limited by cost and resource demands. Existing AF-prediction models show modest accuracy and lack longitudinal validation. We developed and validated the CATCH-AF score to provide a simple, clinically applicable tool for stratifying early and long-term AF risk after ESUS. Methods We analyzed 543 consecutive ESUS patients systematically monitored with ICMs. Variable selection used LASSO-penalized Cox regression. Model performance was assessed with time-dependent ROC curves, restricted mean survival time (RMST) analysis, and 10-fold cross-validation. To evaluate geographic generalizability, internal–external cross-validation was performed across seven participating centres, estimating discrimination and calibration for each held-out cohort. Based on the final multivariable model, a point-based score was derived including age, coronary artery disease, heart failure, and prior transient ischemic attack or ischemic stroke. Results During 1558.5 patient-years of follow-up, 118 patients (22%) developed new AF. The CATCH-AF score showed excellent discrimination (AUC 0.85, 95% CI 0.82–0.89), stable over 4.5 years (0.84–0.87). Compared with low-risk patients (0–2 points), those at high risk (≥5 points) had a 19-fold higher hazard of AF detection (HR 19.2, 95% CI 9.4–39.4; p<0.001) and 918 fewer AF-free days (95% CI –1080 to –757). Conclusions The CATCH-AF score provides a robust, interpretable, and easily applicable tool for predicting AF after ESUS, supporting targeted and cost-effective rhythm monitoring Conflict of interest nothing to disclose
Source: European Stroke Journal
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,400
OpenAlex ID: W7160426366
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