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Development and Validation of a Prognostic Nomogram for Post-Transcatheter Aortic Valve Replacement Heart Failure Hospitalization in Patients With Concurrent Symptomatic Aortic Stenosis and Heart Fail

12 hours ago
  • #symptomatic aortic stenosis
  • #predictive modeling
  • #heart failure with preserved ejection fraction
  • Development of a prognostic nomogram for heart failure hospitalization post-TAVR in patients with symptomatic aortic stenosis and HFpEF.
  • Multicenter study involving 321 patients with severe aortic stenosis and HFpEF who underwent TAVR between 2017-2024.
  • Utilized various predictive modeling techniques including random forest, XGBoost, and Cox regression analysis.
  • Identified 6 independent predictors using Boruta algorithm and LASSO regression.
  • Cox regression-based nomogram showed superior performance with AUC values of 0.824 at 12 months and 0.818 at 20 months.
  • Nomogram outperformed European System for Cardiac Operative Risk Evaluation in discrimination and reclassification analyses.
  • Interactive web-based clinical decision support tool developed for point-of-care implementation.
  • Nomogram incorporates metabolic biomarkers and exhibits high predictive accuracy for HF hospitalization.