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A machine learning derived echocardiographic algorithm identifies people at risk of heart failure with distinct cardiac structure, function, and response to spironolactone: the HOMAGE trial

21 May 2023 (15:00 - 15:45)
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Congress Presentation Part of: Chronic heart failure - imaging 1 Imaging HFA Premium Access Heart Failure 2023 Heart Failure Association (HFA)

About the speaker

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Doctor Masatake Kobayashi

Tokyo Medical University, Tokyo (Japan)

6 More presentations in this session

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Integrated catecholamine imaging in heart and lung across different cardiopulmonary disorders: a systems-based pilot analysis
Doctor C. Borrelli (Pisa, IT)
Abstract Slides
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The effect of transmitral to tissue Doppler imaging early diastolic velocity ratio on the prognosis according to the beta-blocker use in patients with acute heart failure
Professor S. Kim (Ulsan, KR)
Abstract Slides
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Effects of sacubitril/valsartan on atrial function and structure as treatment response indicators in patients with heart failure with reduced ejection fraction: an observational prospective study.
Doctor M. Camilli (Rome, IT)
Abstract Slides
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Myocardial work for LV function assessment in severe AS patients undergoing TAVR
Miss A. Moya (Aalst, BE)
Abstract Slides
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In patients with unexplained dyspnea and preserved left ventricular ejection fraction CPETecho is a useful tool to establish the cause of dyspnea
Doctor L. Meems (Groningen, NL)
Abstract Slides

Access the full session

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Chronic heart failure - imaging 1

The Event

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Heart Failure 2023

21 May 2023 15:00 CET
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ESC 365 is supported by

novartis Explore sponsored resources