FRANCE-2 TAVI Risk Score (Precise Logistic Model): Explanation and Clinical Context The FRANCE-2 TAVI Risk Score uses a logistic regression model to predict 30-day mortality after transcatheter aortic valve implantation (TAVI) in patients with severe aortic stenosis.
Predictors include age, NYHA class IV, peripheral artery disease, atrial fibrillation, serum creatinine, left ventricular ejection fraction (LVEF), and procedural access route (transapical vs transfemoral).
The logistic regression formula provides a continuous probability of 30-day mortality, offering more precise risk estimation than simple point-based scores.
This tool helps clinicians in individualized risk assessment, procedural planning, and shared decision-making with patients.
Reference:
Iung B, et al. FRANCE-2 Registry. J Am Coll Cardiol. 2017;69(12):1579-1589. doi:10.1016/j.jacc.2017.01.026