Key points are not available for this paper at this time.
AIMS: Systolic pulmonary artery pressure (sPAP) is a well-known outcome predictor in patients with valvular heart disease. Limited data are available regarding the evaluation of right ventricular (RV) performance, particularly in patients with aortic stenosis (AS). The aim of this study was to evaluate the prevalence, determinants, and prognostic significance of RV dysfunction in severe AS independently from the strategy of treatment chosen. METHODS AND RESULTS: Two hundred patients (mean age: 79.9 ± 8.8 years) with severe AS underwent two-dimensional and speckle tracking echocardiography for the evaluation of left ventricular (LV) and RV functions, aortic valve gradients, and sPAP. A tricuspid annular plane systolic excursion (TAPSE) ≤17 mm defined RV dysfunction. RV dysfunction was detected in 48 patients (24%). At multivariable regression analysis, LV global longitudinal strain (r = -0.29, P = 0.001), mean aortic gradient (r = 0.25, P = 0.002), and LV ejection fraction (r = 0.18, P = 0.02) were well correlated with TAPSE. After a median 16-month follow-up, cardiovascular death occurred in 17 patients. At multivariate Cox regression analysis, biventricular dysfunction (TAPSE ≤17 mm and LVEF ≤50%) emerged as the strongest predictor of prognosis (hazard ratio 4.08, 95% confidence interval 1.36-12.22; P = 0.012). CONCLUSIONS: RV dysfunction is common in AS patients, and this finding can likely be accounted for by the RV-LV interdependence. Given that biventricular function impairment was a strong predictor of mortality in our population, we suggest that RV dysfunction should be systematically looked for in AS patients.
Building similarity graph...
Analyzing shared references across papers
Loading...
Galli et al. (Tue,) studied this question.
synapsesocial.com/papers/69f935018338827971878b8d — DOI: https://doi.org/10.1093/ehjci/jeu290
Elena Galli
Cardiac Imaging
Y. Guirette
Inserm
Damien Fénéon
Inserm
European Heart Journal - Cardiovascular Imaging
Inserm
Université de Rennes
Centre Hospitalier Universitaire de Rennes
Building similarity graph...
Analyzing shared references across papers
Loading...