Valvular & structural heart disease
Simplified Outcome Prediction in Patients Undergoing Transcatheter Tricuspid Valve Intervention by Survival Tree-Based Modelling
Corrected 23 Oct 2026: Measure wording clarified; no values changed.
Performance · Survival by risk categoryResult — go to the resultHR for 2-year mortality 4.3Authors' conclusion
This simple survival tree-based model effectively stratifies patients with severe TR into distinct risk categories, demonstrating significant differences in 2-year survival after TTVI.
Study context
- Population
- Patients undergoing transcatheter tricuspid valve intervention (TTVI) for severe tricuspid regurgitation (TR)patients undergoing TTVI for severe TR · derivation set 631 · validation set 287
- Participants
- 918 patients
- Comparison
- Survival tree-based risk categories for 2-year survival after TTVI
- Low-risk categoryn = 261
- High-risk categoryn = 190
- Outcome
- Survival by risk category
- Follow-up
- 2 years
Methodological detailssupervised machine learning-derived, external validation
- Supervised machine learning-derived
- External validation
Performance
As reported in the abstract
HR for 2-year mortality
4.3
P < 0.001
By group
Further findings
Net re-classification improvement
- Model comparable to the TRI-Score and outperformed the EuroScore II in identifying high-risk patients
- Prognostic value of risk phenotypes confirmed by external validation
Original publication
Simplified Outcome Prediction in Patients Undergoing Transcatheter Tricuspid Valve Intervention by Survival Tree-Based Modelling. JACC Adv. Published 22 January 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →