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Machine learning-derived echocardiographic phenotypes predict outcome in tricuspid annuloplasty

22 May 2022 (08:30 - 19:45)
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Congress Presentation Part of: Heart Failure ePosters - focus on Valvular Heart Disease & Interventional Cardiology Intervention HFA Premium Access Heart Failure 2022

About the speaker

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Ms Yi-Kei Tse

The University of Hong Kong, Hong Kong (Hong Kong)

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Additive value of soluble ST2 to NT-proBNP for more accurate patient risk stratification and long-term survival prediction after TAVI
Miss A. Moya (Aalst, BE)
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Left ventricular filling pressure as a determinant of risk stratification in patients undergoing transcatheter aortic valve implantation
Doctor K. Byczkowska (Warsaw, PL)
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Assessment left atrial geometry and function by cardiac magnetic resonance imaging in aortic stenosis
Associate Professor L. Agoston Coldea (Cluj Napoca, RO)
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Endocarditis: who are the true bad boys?
Doctor P. Alves da Silva (Lisbon, PT)
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Long-term prognostic implications of inflammatory and nutritional status in patients undergoing valvular heart surgery
Miss D. Hung (Hong Kong, HK)
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Access the full session

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Heart Failure ePosters - focus on Valvular Heart Disease & Interventional Cardiology

The Event

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Heart Failure 2022

22 May 2022 08:30 CET

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