AF driver detection in pulmonary vein area by electropcardiographic imaging: Relation with a favorable outcome of pulmonary vein isolation

Front Physiol. 2023 Jan 30:14:1057700. doi: 10.3389/fphys.2023.1057700. eCollection 2023.

Abstract

Pulmonary vein isolation (PVI) is the most successful treatment for atrial fibrillation (AF) nowadays. However, not all AF patients benefit from PVI. In this study, we evaluate the use of ECGI to identify reentries and relate rotor density in the pulmonary vein (PV) area as an indicator of PVI outcome. Rotor maps were computed in a set of 29 AF patients using a new rotor detection algorithm. The relationship between the distribution of reentrant activity and the clinical outcome after PVI was studied. The number of rotors and proportion of PSs in different atrial regions were computed and compared retrospectively in two groups of patients: patients that remained in sinus rhythm 6 months after PVI and patients with arrhythmia recurrence. The total number of rotors obtained was higher in patients returning to arrhythmia after the ablation (4.31 ± 2.77 vs. 3.58 ± 2.67%, p = 0.018). However, a significantly higher concentration of PSs in the pulmonary veins was found in patients that remained in sinus rhythm (10.20 ± 12.40% vs. 5.19 ± 9.13%, p = 0.011) 6 months after PVI. The results obtained show a direct relationship between the expected AF mechanism and the electrophysiological parameters provided by ECGI, suggesting that this technology offers relevant information to predict the clinical outcome after PVI in AF patients.

Keywords: ECGI; atrial fibillation; clinical outcome; pulmonary vein isolation; rotors.

Grants and funding

This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 860974, PersonalizeAF, Ministerio de Ciencia e Innovación (supported by FEDER Fondo Europeo de Desarrollo Regional PI17/01106, PEJ2018-003617, and RYC2018-024346-I), EIT Health (SAVE-COR Activity code 220385, EIT Health is supported by EIT, a body of the European Union), Generalitat Valenciana Conselleria d’Educació, Investigació, Cultura i Esport (ACIF/2020/265) and Spanish Agencia Estatal de Investigación (AEI), part of the Ministerio de Ciencia e Innovación, reference PID2020-119364RB-I00. *This publication reflects only the author’s view and that the Agency is not responsible for any use that may be made of the information it contains.