Your browser doesn't support javascript.
loading
Time-Averaged Wavefront Analysis Demonstrates Preferential Pathways of Atrial Fibrillation, Predicting Pulmonary Vein Isolation Acute Response.
Roney, Caroline H; Child, Nicholas; Porter, Bradley; Sim, Iain; Whitaker, John; Clayton, Richard H; Laughner, Jacob I; Shuros, Allan; Neuzil, Petr; Williams, Steven E; Razavi, Reza S; O'Neill, Mark; Rinaldi, Christopher A; Taggart, Peter; Wright, Matt; Gill, Jaswinder S; Niederer, Steven A.
Afiliação
  • Roney CH; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Child N; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Porter B; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Sim I; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Whitaker J; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Clayton RH; INSIGNEO Institute for In Silico Medicine and Department of Computer Science, University of Sheffield, Sheffield, United Kingdom.
  • Laughner JI; Boston Scientific Corp, St. Paul, MN, United States.
  • Shuros A; Boston Scientific Corp, St. Paul, MN, United States.
  • Neuzil P; Department of Cardiology, Na Holmolce Hospital, Prague, Czechia.
  • Williams SE; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Razavi RS; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • O'Neill M; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Rinaldi CA; Department of Cardiology, Guy's and St Thomas' Hospital, London, United Kingdom.
  • Taggart P; Institute of Cardiovascular Science, University College London, London, United Kingdom.
  • Wright M; Department of Cardiology, Guy's and St Thomas' Hospital, London, United Kingdom.
  • Gill JS; Department of Cardiology, Guy's and St Thomas' Hospital, London, United Kingdom.
  • Niederer SA; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Front Physiol ; 12: 707189, 2021.
Article em En | MEDLINE | ID: mdl-34646149
ABSTRACT
Electrical activation during atrial fibrillation (AF) appears chaotic and disorganised, which impedes characterisation of the underlying substrate and treatment planning. While globally chaotic, there may be local preferential activation pathways that represent potential ablation targets. This study aimed to identify preferential activation pathways during AF and predict the acute ablation response when these are targeted by pulmonary vein isolation (PVI). In patients with persistent AF (n = 14), simultaneous biatrial contact mapping with basket catheters was performed pre-ablation and following each ablation strategy (PVI, roof, and mitral lines). Unipolar wavefront activation directions were averaged over 10 s to identify preferential activation pathways. Clinical cases were classified as responders or non-responders to PVI during the procedure. Clinical data were augmented with a virtual cohort of 100 models. In AF pre-ablation, pathways originated from the pulmonary vein (PV) antra in PVI responders (7/7) but not in PVI non-responders (6/6). We proposed a novel index that measured activation waves from the PV antra into the atrial body. This index was significantly higher in PVI responders than non-responders (clinical 16.3 vs. 3.7%, p = 0.04; simulated 21.1 vs. 14.1%, p = 0.02). Overall, this novel technique and proof of concept study demonstrated that preferential activation pathways exist during AF. Targeting patient-specific activation pathways that flowed from the PV antra to the left atrial body using PVI resulted in AF termination during the procedure. These PV activation flow pathways may correspond to the presence of drivers in the PV regions.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Physiol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Physiol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido