Predictors of Procedural and Clinical Outcomes Following Transcatheter Tricuspid Edge-to-Edge Repair: An Expert Overview.
Tricuspid transcatheter edge-to-edge repair alleviates symptoms, but survival benefit remains inconsistent. The authors conducted a Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020-compliant systematic review and meta-analysis (CRD42024600438) to identify multivariable predictors of procedural success and adverse outcomes. PubMed, Scopus, the Cochrane Library, and Google Scholar were searched (from January 2008 to March 2025) for adjusted predictors of mortality, heart failure hospitalization, major adverse cardiovascular events, and procedural success. Random-effects meta-analysis was performed when ≥2 independent cohorts reported comparable estimates. Fifty-nine studies met the inclusion criteria. Baseline tricuspid regurgitation severity (OR: 2.50; 95% CI: 1.33-4.71), nonanteroseptal jet location (OR: 2.46; 95% CI: 1.08-5.60), and increasing coaptation gap (HR: 1.19 per mm; 95% CI: 1.07-1.33) predicted residual tricuspid regurgitation. Residual tricuspid regurgitation ≥3+ was the only predictor suitable for pooled synthesis across endpoints and was associated with all-cause mortality (HR: 2.19; 95% CI: 1.60-3.00) and major adverse cardiovascular events (HR: 1.84; 95% CI: 1.37-2.48) (I2 = 0%-2%.) Renal dysfunction, impaired right ventricular function and remodeling, pulmonary hypertension, and right ventricular-pulmonary arterial uncoupling reflect advanced disease substrate and demonstrated consistent associations with adverse outcomes. Among surgical risk models, the European System for Cardiac Operative Risk Evaluation II score showed limited discrimination, whereas the TRI-SCORE performed better; tricuspid transcatheter edge-to-edge repair-specific clinical models remain limited, and validated procedural prediction models are emerging. Limited data suggest that an intermediate disease profile may derive the greatest benefit, but this finding is confined to single-registry analyses. Further work is required to define optimal disease-stage thresholds and develop integrated risk models incorporating procedural outcome predictors.
