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Prediction of electrical pacing after surgical aortic valve replacement using machine learning algorithm and heart rate variability: a retrospective analysis

31 August 2025 (14:15 - 15:00)
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Congress Presentation Part of: Bleedings and conduction disturbances after aortic interventions Surgery ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Associate Professor Youn Joung Cho

Seoul National University College of Medicine, Seoul (Korea (Republic of))

7 More presentations in this session

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Bleeding risk in all-comer TAVI patients
Mrs S. Baleswaran Krishnapillai (Copenhagen, DK)
Abstract Slides Video
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Impact of packed red blood cells administration on long-term outcomes in patients undergoing transcatheter aortic valve implantation
Doctor T. Stolte (Basel, CH)
Abstract Slides Video
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Assessing the CHA2DS2-VASc score in risk stratification and management of oral anticoagulation during TAVI
Doctor D. van Ginkel (Nieuwegein, NL)
Abstract Slides Video
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Bleeding risk stratification in patients undergoing transcatheter aortic valve replacement: enhancing VARC-HBR criteria with CT-ADP as a marker of primary hemostatic disorder
Doctor S. Kikuchi (Strasbourg, FR)
Abstract Slides Video
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Impact of short membranous septal length on overall survival after transcatheter aortic valve replacement
Doctor H. Tsurumi (Okinawa, JP)
Abstract Slides Video

Access the full session

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Bleedings and conduction disturbances after aortic interventions

The Event

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ESC Congress 2025

31 August 2025 14:15 CET
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