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Published on: July 20, 2022
External Validation of the AS5F Score and the Role of Left Atrial Dilatation in Post-Stroke/TIA Atrial Fibrillation
Aldo F Costa1, Rafael García1, María J Álvarez1
1Department of Neurology, Reina Sofia Hospital, 14004 Córdoba, Spain.
Insights
The AS5F score moderately predicts atrial fibrillation (AF) after stroke. Combining age and left atrial dilatation showed similar performance, offering a practical approach for identifying patients needing prolonged cardiac monitoring.
Area of Science:
- Cardiology
- Neurology
- Medical Diagnostics
Background:
- Prolonged cardiac monitoring aids atrial fibrillation (AF) detection post-stroke or transient ischemic attack (TIA).
- The AS5F score predicts AF risk, but real-world validation is needed.
- Left atrial dilatation (LAD) may enhance AF risk prediction.
Purpose of the Study:
- Externally validate the AS5F score for post-stroke AF detection.
- Assess if LAD improves AF risk prediction accuracy.
- Compare AS5F performance with a simplified age + LAD model.
Main Methods:
- Retrospective study of 410 patients with ischemic stroke/TIA undergoing Holter monitoring.
- Logistic regression and ROC curve analysis for discrimination.
- Hosmer-Lemeshow test for model calibration.
Main Results:
- AF detected in 8.0% of patients.
- AS5F score showed moderate discrimination (AUC 0.69).
- Age + LAD model achieved higher AUC (0.73) with adequate calibration.
Conclusions:
- AS5F score has moderate predictive ability for post-stroke AF.
- A simplified age + LAD model offers comparable or better risk stratification.
- This pragmatic model may guide clinical decisions for monitoring post-stroke patients.
Abstract:
Background: Prolonged cardiac monitoring increases atrial fibrillation (AF) detection after ischemic stroke or transient ischemic attack (TIA). The AS5F score was developed to identify patients at higher risk of post-stroke AF, but its performance in real-world populations remains incompletely characterized. We aimed to externally validate the AS5F score and to evaluate whether left atrial dilatation (LAD) improves risk prediction. Methods: We conducted a retrospective single-center study including 410 patients with ischemic stroke or TIA who underwent prolonged Holter monitoring between 2021 and 2025. Logistic regression and receiver operating characteristic (ROC) curve analyses were used to assess discrimination. Model calibration was evaluated using the Hosmer-Lemeshow test. Results: AF was detected in 33 patients (8.0%). The AS5F score was significantly associated with AF detection (OR 1.07 per point; 95% CI 1.03-1.11; p < 0.001), showing modest discrimination (AUC 0.69). Age alone demonstrated similar performance (AUC 0.69). LAD was strongly associated with AF (OR 4.00; 95% CI 1.79-8.93; p = 0.001) but had lower discriminatory ability (AUC 0.61). In patients with available echocardiographic data (n = 369), a combined age + LAD model achieved an AUC of 0.73 with adequate calibration. The improvement compared with AS5F was not statistically significant. Conclusions: In this external real-world cohort, AS5F demonstrated moderate discrimination for post-stroke AF detection. A simplified model combining age and left atrial dilatation showed numerically higher performance and may represent a pragmatic strategy for risk stratification in clinical practice.
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