Valvular & structural heart diseaseResearch article
Deep Learning–Derived Right Ventricular Ejection Fraction Predicts Mortality in Patients Undergoing Transcatheter Tricuspid Valve Intervention
- single-center analysis
Authors' conclusion
Deep learning enabled an unbiased echocardiographic assessment of RV function after TTVI and identified a high-risk group with poor outcomes. These findings are exploratory and require external validation; if confirmed, deep learning-enhanced echocardiography may improve risk stratification and guide personalized follow-up strategies in patients undergoing TTVI.
Study context
- Population
- Patients undergoing transcatheter tricuspid valve intervention (TTVI) for severe tricuspid regurgitation between 2018 and 2023patients undergoing TTVI
- Participants
- 373 patients
- Comparison
- Postprocedural RV ejection fraction (RVEF) below 38% vs Postprocedural RVEF above 38%
- Outcome
- All-cause mortality (1-year survival)
- Follow-up
- 1 year
Main finding
As reported in the abstract
Hazard ratio
3.12
P < 0.001
By group
Further findings
| Outcome | Postprocedural RVEF below 38% | Postprocedural RVEF above 38% |
|---|---|---|
| RVEF change in high-risk group · baseline to postprocedural | ||
| Baseline RVEF | 41% (IQR: 38%-44%) | Not reported in the abstract |
| Postprocedural RVEF | 36% (IQR: 35%-37%) | Not reported in the abstract |
- RVEF change in high-risk group: P < 0.001
Deep learning-predicted RVEF before and after TTVI (cohort level) · baseline and 1 to 3 days after the procedure
- Median RVEFs similar before and after TTVI at the cohort level; individual trajectories diverged
Optimal prognostic threshold for postprocedural RVEF
- Optimal prognostic threshold for postprocedural RVEF
- 38%
- maximally selected log-rank statistics
Original publication
Deep Learning–Derived Right Ventricular Ejection Fraction Predicts Mortality in Patients Undergoing Transcatheter Tricuspid Valve Intervention. JACC Adv. Published 20 January 2026. doi:10.1016/j.jacadv.2025.102530
Summarised from the published abstract; every number is checked against it