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Updated: Jun 3, 2025

Chronic Ovine Model of Right Ventricular Failure and Functional Tricuspid Regurgitation
Published on: March 17, 2023
The Impact of Right Atrial Function on Prognosis and Renal Function in Patients With Tricuspid Regurgitation
Elvin Tafciu1, Matteo Pilan1, Bianca Rocca1
1Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy.
Abstract:
Tricuspid regurgitation (TR) is related to survival, and right atrial (RA) size and function may play a role. This study aimed to assess the impact of RA function measured by strain (RA strain [RAS]) on outcome and end-organ congestion. We enrolled 134 patients (mean age 73 ± 13 years, 62% women) with any TR grade or etiology and a complete echocardiogram, clinical follow-up, and renal function assessment. The primary end point was a combination of overall mortality and right-sided heart failure hospitalization, and the secondary end point was worsening renal function (WRF). After a median follow-up of 23.5 months (interquartile range 12 to 34 months), the combined end point was reached by 31% of patients. Patients with RAS ≤18% showed lower event-free survival (log-rank p <0.001). In the multivariable analysis, RAS ≤18% (HR 3.1, 95% CI 1.1 to 8.8) and pulmonary artery systolic pressure (PASP) (hazard ratio [HR] 1.02, 95% confidence interval [CI] 1 to 1.05) were independent predictors of the primary end point. Patients with RAS ≤18% and PASP >45 mm Hg had the worst outcome (HR 4.3, 95% CI 2 to 9.5). RAS ≤18% (odds ratio 3.22, 95% CI 1.11 to 9.33) and PASP >45 mm Hg (OR 3.2, 95% CI 1.15 to 8.88) were independent predictors of WRF, adjusting for TR severity, left and right ventricular function, age, gender, diabetes, diuretics, atrial fibrillation. The addition of RAS ≤18% had incremental power over PASP and echocardiographic variables of TR severity and right or left ventricular function to predict WRF (p = 0.026). In conclusion, RA function measured by RAS independently predicts mortality and hospitalizations in patients with TR and independently and incrementally predicts WRF over time.
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