Utility of the ECG-Based Simple Score for Predicting Post-Stroke Atrial Fibrillation in a Real-World Clinical Setting

Area of Science:

• Cardiology
• Neurology
• Medical Diagnostics

Background:

• Atrial fibrillation (AF) significantly elevates ischemic stroke risk, often presenting asymptomatically.
• Early identification of high-risk stroke survivors for AF is crucial for timely anticoagulation.
• Predicting incident AF and recurrent stroke in ischemic stroke survivors requires refined risk stratification tools.

Purpose of the Study:

• To assess the predictive value of the ECG-based SIMP3L2E score for incident AF and recurrent stroke.
• To evaluate the combined predictive utility of the SIMP3L2E score and Holter-detected supraventricular ectopy.
• To enhance risk stratification strategies for ischemic stroke survivors at risk of AF.

Main Methods:

• Prospective observational study of 77 acute ischemic stroke patients.
• Retrospective calculation of the SIMP3L2E score using initial ECG parameters.
• Three-year follow-up for incident AF and recurrent stroke detection using logistic regression and ROC analysis.

Main Results:

• The SIMP3L2E score alone showed modest predictive ability for incident AF (AUC=0.588).
• Supraventricular ectopy detected by Holter monitoring was an independent predictor of incident AF (p=0.008).
• Combining SIMP3L2E score with Holter data significantly improved AF prediction (AUC=0.797).

Conclusions:

• The SIMP3L2E ECG score has limited standalone predictive power for AF in post-stroke patients.
• Integrating static ECG scores with dynamic rhythm monitoring (Holter) substantially improves AF risk prediction.
• Enhanced risk stratification combining ECG scores and Holter monitoring is vital for managing AF risk post-stroke.