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Integrating RV-PA coupling and geometry-based indices into the TRI-SCORE improves prognostic assessment in tricuspid
Raffaella Mistrulli1, Monika Beles1, Elayne Kelen De Oliveira1,2
1Cardiovascular Center Aalst, AZORG Hospital, Aalst, Belgium.
Adding simple echocardiographic measures of right ventricular (RV) function to the TRI-SCORE significantly improves risk prediction for patients with tricuspid regurgitation (TR). These enhanced prognostic models can aid in better risk stratification and intervention timing for TR.
Area of Science:
- Cardiology
- Echocardiography
- Cardiac Surgery
Background:
- Tricuspid regurgitation (TR) is a progressive condition with a poor prognosis, often underdiagnosed.
- Current risk models like the TRI-SCORE lack crucial echocardiographic data on right ventricular (RV) function and RV-pulmonary artery coupling.
Purpose of the Study:
- To determine if integrating simple echocardiographic indices (TAPSE/PASP, TAPSE/RVAD, TAPSE/RVAS) improves the prognostic accuracy of the TRI-SCORE in moderate-to-severe TR patients.
- To assess the incremental predictive value of these echocardiographic ratios beyond the existing TRI-SCORE.
Main Methods:
- Retrospective analysis of 93 patients with severe TR (various etiologies) treated medically or interventionally.
- Primary endpoint: all-cause mortality. Secondary endpoint: mortality or heart failure hospitalization.
- Multivariable Cox regression and spline regression were used to evaluate prognostic performance and identify optimal thresholds.
Main Results:
- Lower values of TAPSE/PASP, TAPSE/RVAD, and TAPSE/RVAS were independently associated with adverse outcomes.
- Each echocardiographic index significantly improved the TRI-SCORE's risk discrimination (C-index increased from 0.614 to 0.710 for TAPSE/PASP).
- Prognostically relevant cut-offs were identified for each ratio.
Conclusions:
- Simple echocardiographic indices of RV function offer significant incremental prognostic value when combined with the TRI-SCORE.
- This integration can enhance risk stratification and guide the timing of interventions for isolated TR.
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