Back

Prognostic impact of mild aortic regurgitation in moderate aortic stenosis: a mixed valve disease phenotype

31 August 2026 (12:20 - 12:30)
Organised by: Logo
Congress Presentation Part of: How to predict outcomes in aortic regurgitation? Aortic Valve Disease, Other ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Mr Juan Maria Iroulart

Hospital Italiano de Buenos Aires, Buenos Aires (Argentina)

5 More presentations in this session

Presentation thumbnail
Sex-specific prognostic value of global longitudinal strain beyond ventricular remodeling in chronic severe aortic regurgitation
Doctor S. Lee (Seoul, KR)
Abstract
Presentation thumbnail
Non-invasive left ventricle strain-volume-pressure loops in asymptomatic patients with significant aortic regurgitation: potential to improve prediction of optimal timing for aortic valve surgery
Doctor E. de Oliveira (Aalst, BE)
Abstract
Presentation thumbnail
Prognosis of combined moderate mitral and aortic regurgitation and isolated severe aortic regurgitation
Doctor A. Kaplan (Ramat Gan, IL)
Abstract
Presentation thumbnail
Increased left atrial pressure in chronic aortic regurgitation: association with outcomes
Mrs P. Lopez Santi (Leiden, NL)
Abstract
Presentation thumbnail
Uromodulin as a genetically anchored biomarker stratifies time to valve intervention in aortic regurgitation
Ms E. Ghanbari (Berlin, DE)
Abstract

Access the full session

Session thumbnail
How to predict outcomes in aortic regurgitation?

The Event

Event poster

ESC Congress 2026

31 August 2026 12:20 CET
You may be interested in
thumbnail
Congress Presentation
A new perspective on mixed moderate aortic valve disease
11 December 2024
thumbnail
Congress Presentation
Prognostic implications of mitral regurgitation in heart failure patients undergoing cardiac resynchronization therapy.
22 May 2023
thumbnail
Congress Presentation
Impact of aortic regurgitation on the prognosis of patients with type A acute aortic syndrome.
15 March 2025
thumbnail
Congress Presentation
Prediction of aortic stenosis progression using artificial intelligence: a machine learning model based on echocardiographic data
22 November 2025

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources