Back

Cardio-renal-metabolic risk profile strongly predicts heart failure in patients with aortic stenosis

28 August 2026 (14:15 - 15:00)
Organised by: Logo
Congress Presentation Part of: Outcome prediction in aortic stenosis Aortic Valve Stenosis ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Mr Kyriakos Panaou

(Netherlands (The))

5 More presentations in this session

Presentation thumbnail
Cross-ancestry validation of a polygenic risk score for aortic stenosis in Japanese cohorts
Doctor Y. Takeji (Kanazawa, JP)
Abstract Slides
Presentation thumbnail
Association of growth differentiation factor 15 (GDF-15) with aortic stenosis severity and long-term glycaemic control in patients with diabetes
Mrs M. Kopytek (Krakow, PL)
Abstract Slides
Presentation thumbnail
Ai-enabled baseline ECG for staging secondary cardiac damage in severe aortic stenosis undergoing TAVIi: a retrospective study
Doctor J. Rampone (Turin, IT)
Abstract Slides
Presentation thumbnail
Red alert – stop the clock: impact of an automated referral system for severe aortic stenosis on time to comprehensive geriatric assessment and advanced care planning.
Doctor J. Belcher (Sheffield, GB)
Abstract Slides
Presentation thumbnail
Sex-specific CT-derived aortic valve calcification predicts hemodynamically true severe aortic stenosis defined by invasive catheterization
Doctor T. Yoshida (Kawasaki, JP)
Abstract Slides

Access the full session

Session thumbnail
Outcome prediction in aortic stenosis

The Event

Event poster

ESC Congress 2026

28 August 2026 14:15 CET
You may be interested in
thumbnail
Congress Presentation
Predictors of cardiovascular mortality and heart failure hospitalizations in patients with paradoxical low-flow, low-gradient aortic stenosis treated with TAVI
12 December 2025
thumbnail
Congress Session
Cardio-renal-metabolic conundrum in heart failure
19 May 2025
thumbnail
Congress Presentation
A 4-protein biomarker risk score enhances cardiovascular risk assessment: insights from the multi-ethnic study of atherosclerosis
30 August 2025
thumbnail
Congress Presentation
Predicting incident heart failure in patients with type ii diabetes: a machine a learning approach
22 May 2023

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