A recent study assessed six tricuspid regurgitation risk scores for predicting 1-year mortality following tricuspid valve transcatheter edge-to-edge repair.
In the study, published in the European Journal of Heart Failure, investigators evaluated risk scores such as the TRI-SCORE, Wang score, STS score, TRIO score, TriValve score, and LaPar score.
The retrospective analysis encompassed 385 patients treated at a high-volume heart valve center between 2016 and 2023. The cohort had a mean age of 78.0 ± 8.6 years, with 49.6% of the participants identifying as female. Most patients had moderate to severe tricuspid regurgitation (TR). The primary endpoint was all-cause mortality at 1-year post–tricuspid valve transcatheter edge-to-edge repair (T-TEER).
Among the key findings were:
- Overall 1-Year Survival: 76.4%.
- Predictive Accuracy (AUC): TRI-SCORE: 0.649, Wang score: 0.561, TRIO score: 0.559, TriValve score: 0.523, LaPar score: 0.486, and STS score: 0.617.
Notably, high-risk classifications varied, yet over 70% of patients in each high-risk group survived beyond 1 year. All scores showed limited predictive accuracy for 1-year mortality
"Machine learning might enhance the predictive performance of future T-TEER scores. Doing so might improve outcome prediction which potentially helps physicians and patients in an informed decision-making process on what to expect from an interventional TR treatment on an individual patient level," said lead study author Cecilia Ennin, of the Medizinische Klinik und Poliklinik I at the Klinikum der Universität München in Munich, Germany, and her colleagues.
The investigators emphasized the need for dedicated risk scores derived from large data sets with independent derivation and validation cohorts to improve risk prediction in this heterogeneous patient population.
The full authors' disclosures are available in the study.
