The AI-derived EuroTR score accurately predicted 1-year mortality after tricuspid transcatheter edge-to-edge repair (HR 4.26, C-index 0.741), outperforming established risk models.
Does the AI-derived EuroTR risk score accurately predict 1-year mortality in patients with severe tricuspid regurgitation undergoing T-TEER?
The AI-derived EuroTR score accurately predicts 1-year mortality and poor clinical outcomes in patients undergoing T-TEER, outperforming established risk scores.
Tasa de eventos absoluta: 0% vs 0%
Background Risk stratification for tricuspid valve transcatheter edge-to-edge repair (T-TEER) is paramount in the decision-making process to appropriately select patients with severe tricuspid regurgitation. Objectives The aim of this study was to develop and validate an artificial intelligence-driven risk score, the EuroTR (European Registry of Transcatheter Repair for Tricuspid Regurgitation) score, to predict 1-year mortality in patients undergoing T-TEER. Methods The EuroTR score was developed using data from the EuroTR registry, comprising 1,225 patients in the derivation cohort and 601 patients in the validation cohort. On the basis of 18 clinical, laboratory, echocardiographic, and hemodynamic parameters, an extreme gradient boosting algorithm was trained and independently validated against established risk models. Results Among the entire study cohort (N = 1,826), the overall 1-year survival rate was 82.1% (95% CI: 80.1%-84.2%), with no significant differences between the derivation and validation cohorts. The EuroTR score successfully stratified patients into low-risk and high-risk groups for 1-year mortality after T-TEER (HR: 4.26; 95% CI: 2.71-6.67; P < 0.001), and it significantly outperformed established risk scores such as the EuroScore and the TRI-SCORE in the validation cohort. Beyond mortality prediction (Harrell's C index validation cohort = 0.741; 95% CI: 0.699-0.783), increasing EuroTR score values were associated with a higher likelihood of a clinically relevant combined endpoint of 1-year mortality, need for heart failure hospitalization, or persistent dyspnea corresponding to NYHA functional class ≥III. The likelihood of poor outcomes increased from 30.6% in patients with the lowest EuroTR scores (EuroTR risk rank <5%) to 85.5% in the highest risk group (EuroTR risk rank ≥95%). The EuroTR score's performance was confirmed in several subgroups (atrial vs nonatrial tricuspid regurgitation, TRILUMINATE-eligible vs TRILUMINATE-noneligible patients, and patients with vs without cardiac implantable electronic device leads). Conclusions The EuroTR score offers an easy-to-use, externally validated, accurate risk stratification tool for patients undergoing T-TEER. It supports personalized treatment strategies and the design of future clinical trials, helping optimize patient selection and enhance shared decision-making within multidisciplinary heart teams.
Hausleiter et al. (Mon,) reported a other. The AI-derived EuroTR score accurately predicted 1-year mortality after tricuspid transcatheter edge-to-edge repair (HR 4.26, C-index 0.741), outperforming established risk models.