Back

Multiparametric models based on variability in lipid tests and pro-inflammatory biomarkers for atrial fibrillation and stroke prediction: The Hong Kong Family Medicine Study

1 April 2025 (08:00 - 14:15)
Organised by: Logo
Congress Presentation Part of: Poster session 3: clinical management of arrhythmias Big Data EHRA Premium Access EHRA 2025 European Heart Rhythm Association (EHRA)

About the speaker

Photo
Professor Gary Tse

Hong Kong Metropolitan University, Hong Kong (China)

139 More presentations in this session

Presentation thumbnail
The relationship between left atrial electroanatomical voltage mapping and CMR-based fibrosis for enhanced preplanning in atrial fibrillation ablation
Doctor Z. Dadon (Jerusalem, IL)
Abstract Slides Video
Presentation thumbnail
Cardiac sympathetic denervation for different cardiovascular indications - the experience of two referral centers
Doctor A. Zienciuk-Krajka (Gdansk, PL)
Abstract
Presentation thumbnail
Practicing physicians perception of feasibility and usefulness of quality indicators of treatment for atrial fibrillation
Doctor J. Simic (Belgrade, RS)
Abstract Slides Video
Presentation thumbnail
Risk of left atrial thrombus in patients undergoing catheter ablation for atrial fibrillation and atrial flutter
Assistant Professor F. Guerra (Ancona, IT)
Abstract Slides Video
Presentation thumbnail
Clustering analysis of left atrial smax patterns: predicting atrial fibrillation termination and associations with key clinical factors
Mr J. Huh (Seoul, KR)
Abstract Slides

Access the full session

Session thumbnail
Poster session 3: clinical management of arrhythmias

The Event

Event poster

EHRA 2025

1 April 2025 08:00 CET
You may be interested in
thumbnail
Congress Session
Stroke prediction in atrial fibrillation
thumbnail
Congress Presentation
Cholesterol paradox in atrial fibrillation: is it solved in lipid-lowering drugs users?
thumbnail
Congress Presentation
Polypharmacy and multimorbidity metrics for predicting ischaemic stroke using machine learning: The Hong Kong Diabetes Study

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources