Predicting Outcomes in Patients With Tricuspid Regurgitation Undergoing Transcatheter Edge-to-Edge Repair Using an Artificial Intelligence-Derived Risk Score: The EuroTR Risk Score.
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Hausleiter Jörg, Stolz Lukas, Kresoja Karl-Patrik, von Stein Jennifer, Fortmeier Vera, Koell Benedikt, Rottbauer Wolfgang, Kassar Mohammad, Goebel Bjoern, Denti Paolo, Achouh Paul, Rassaf Tienush, Barreiro-Perez Manuel, Boekstegers Peter, Rück Andreas, Zdanyte Monika, Adamo Marianna, Vincent Flavien, Schlegel Philipp, Rosch Sebastian, Wild Mirjam G, Besler Christian, Toggweiler Stefan, Brunner Stephanie, Grapsa Julia, Patterson Tiffany, Thiele Holger, Kister Tobias, Tarantini Giuseppe, Masiero Giulia, De Carlo Marco, Sticchi Alessandro, Voss Fabian, Polzin Amin, Rubbio Antonio Popolo, Bedogni Francesco, Laugwitz Karl-Ludwig, Konstandin Mathias H, Van Belle Eric, Metra Marco, Geisler Tobias, Estévez-Loureiro Rodrigo, Mahabadi Amir Abbas, Karam Nicole, Maisano Francesco, Lauten Philipp, Praz Fabien, Kessler Mirjam, Kalbacher Daniel, Rudolph Volker, Iliadis Christos, Lachmann Mark, Lurz Philipp, EuroTR Investigators
Аннотация
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.