Demographic Refinement and Atrial Fibrillation Type in Stroke Risk Stratification Beyond CHA2DS2 VASc.

Area of Science:

• Cardiology
• Stroke Prevention
• Atrial Fibrillation Research

Background:

• The CHA2DS2 VASc score is standard for stroke risk in atrial fibrillation (AF).
• Improving prediction with demographic factors has uncertain benefits, especially in diverse populations.
• This study assesses if demographic changes or AF type enhance stroke risk prediction.

Purpose of the Study:

• To evaluate the incremental predictive value of demographic modifications and AF type.
• To compare logistic regression models with the traditional CHA2DS2 VASc score.
• To assess stroke risk stratification in a multi-ethnic AF population.

Main Methods:

• Retrospective case-control study of 1,908 AF patients.
• Used CHA2DS2 VASc components, demographic factors, and AF type as predictors.
• Assessed model discrimination using Area Under the Receiver Operating Characteristic Curve (AUC).

Main Results:

• Logistic regression with CHA2DS2 VASc predictors had AUC 0.68; traditional score had AUC 0.63.
• Demographic refinements did not significantly improve discrimination (ΔAUC ≤0.01).
• Adding AF type modestly increased discrimination (AUC 0.71; ΔAUC +0.03), particularly in non-anticoagulated patients.

Conclusions:

• Demographic refinements offer limited added value to CHA2DS2 VASc for stroke risk.
• AF type provides a modest improvement in stroke risk discrimination.
• Findings require external validation before clinical application.