Incidence and predictors of thermal oesophageal and vagus nerve injuries in Ablation Index-guided high-power-short-duration ablation of atrial fibrillation: a prospective study
EP Europace Journal

Abstract
High-power-short-duration (HPSD) ablation is an effective treatment for atrial fibrillation but poses risks of thermal injuries to the oesophagus and vagus nerve. This study aims to investigate incidence and predictors of thermal injuries, employing machine learning.
A prospective observational study was conducted at Leipzig Heart Centre, Germany, excluding patients with multiple prior ablations. All patients received Ablation Index-guided HPSD ablation and subsequent oesophagogastroduodenoscopy. A machine learning algorithm categorized ablation points by atrial location and analysed ablation data, including Ablation Index, focusing on the posterior wall. The study is registered in
The low thermal lesion’s rate (7.6%) during Ablation Index-guided HPSD ablation for atrial fibrillation is noteworthy. Machine learning based ablation data analysis identified several potential predictors of thermal injuries. The correlation between machine learning output and injury development suggests the potential for a clinical tool to enhance procedural safety.
Contributors

Katharina Langenhan
Author

Marc Wolff
Author

Elena Efimova
Author

Markus Zachäus
Author

Angeliki Darma
Author

Borislav Dinov
Author

Timm Seewöster
Author

Sotirios Nedios
Author

Jan Wolff
Author

Ingo Paetsch
Author

Cosima Jahnke
Author

Andreas Bollmann
Author

Gerhard Hindricks
Author

Kerstin Bode
Author

Ulrich Halm
Author
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