Key result
Classification in the 'red category' of the 4S-AF scheme was associated with a higher risk of all-cause death (aHR 1.75; 95% CI 1.02-2.99) and composite adverse outcomes in patients with AF.
Why the study?
The 4S-AF scheme was recently described to characterize AF, but whether it is useful for AF characterization and provides prognostic information in real-world patients remained to be determined.
Does the 4S-AF scheme predict management strategy and clinical outcomes in real-world patients with atrial fibrillation?
Cohort (n=1,479)
Yes
Does the 4S-AF scheme predict management strategy and clinical outcomes in real-world patients with atrial fibrillation?
The 4S-AF scheme is a useful tool for characterizing AF patients, predicting whether they will be managed by rhythm or rate control, and identifying those at high risk for adverse clinical outcomes.
May aid real-world AF characterization; leaves open added prognostic value beyond existing scores.
AIMS: The 4S-AF scheme [Stroke risk, Symptom severity, Severity of atrial fibrillation (AF) burden, Substrate severity] has recently been described as a novel approach to in-depth characterization of AF. We aim to determine if the 4S-AF scheme would be useful for AF characterization and provides prognostic information in real-world AF patients. METHODS AND RESULTS: The Spanish and French cohorts of the EORP-AF Long-Term General Registry were included. The baseline 4S-AF scheme was calculated and related to the primary management strategy (rhythm or rate control). Follow-up was performed at 1-year with all-cause mortality and the composite of ischaemic stroke/transient ischaemic attack/systemic embolism, major bleeding, and all-cause death, as primary endpoints. A total of 1479 patients [36.9% females, median age 72 interquartile range (IQR 64-80) years] were included. The median 4S-AF scheme score was 5 (IQR 4-7). The 4S-AF scheme, as continuous and as categorical, was associated with the management strategy decided for the patient (both P < 0.001). The predictive performances of the 4S-AF scheme for the actual management strategy were appropriate in its continuous [c-index 0.77, 95% confidence interval (CI) 0.75-0.80] and categorical (c-index 0.75, 95% CI 0.72-0.78) forms. Cox regression analyses showed that 'red category' classified patients in the 4S-AF scheme had a higher risk of all-cause death (aHR 1.75, 95% CI 1.02-2.99) and composite outcomes (aHR 1.60, 95% CI 1.05-2.44). CONCLUSION: Characterization of AF by using the 4S-AF scheme may aid in identifying AF patients that would be managed by rhythm or rate control and could also help in identifying high-risk AF patients for worse clinical outcomes in a 'real-world' setting.
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Rivera‐Caravaca et al. (2021) conducted a cohort in Atrial fibrillation (n=1,479). 4S-AF scheme ('red category') vs. Lower 4S-AF scheme categories was evaluated on all-cause death (aHR 1.75, 95% CI 1.02-2.99). Classification in the 'red category' of the 4S-AF scheme was associated with a higher risk of all-cause death (aHR 1.75; 95% CI 1.02-2.99) and composite adverse outcomes in patients with AF.
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