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    Zhuoqiao He

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Developing a novel diagnostic model for accurate differentiation between left and right outflow tract ventricular arrhythmias

Student name:

Zhuoqiao He (PhD candidate)

Supervisors:

  1. Professor Wei Wang
  2. Professor Xuerui Tan
  3. Dr Manshu Song

Summary of thesis:

Ventricular arrhythmias (VA), particularly outflow tract ventricular arrhythmias (OTVAs), are common in clinical practice. Effective treatment depends on distinguishing between left ventricular (LVOT) and right ventricular (RVOT) outflow tract arrhythmias before radiofrequency catheter ablation (RFCA). However, existing ECG algorithms lack consistency. This multi-centre retrospective study aims to develop a diagnostic prediction model using ECG patterns and patient characteristics. Baseline data include ECG parameters, demographics, and medical history. Predictors will be identified, and the model's performance will be assessed for discrimination, calibration, and clinical usefulness. The study is expected to enhance OTVA origin prediction, inform procedural strategy, and mitigate post-RFCA complications.

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