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Ripple-Mapping for the Detection of Long Duration Action Potential Areas in Patients with Brugada Syndrome

Rui Providencia, Diogo Cavaco, Pedro Carmo, Cristiano Pisani, Francisco Moscoso Costa, Mariana Faustino, Francisco Morgado, Pier D Lambiase, Mauricio Scanavacca, Pedro Adragao
doi: https://doi.org/10.1101/263145
Rui Providencia
1Department of Cardiology, Santa Cruz Hospital, CHLO, Carnaxide, Portugal
2St. Bartholomew’s Hospital, Barts Health NHS Trust, London, United Kingdom
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  • For correspondence: rui_providencia@yahoo.com
Diogo Cavaco
1Department of Cardiology, Santa Cruz Hospital, CHLO, Carnaxide, Portugal
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Pedro Carmo
1Department of Cardiology, Santa Cruz Hospital, CHLO, Carnaxide, Portugal
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Cristiano Pisani
3Heart Institute (InCor), University of São Paulo Medical School Hospital, São Paulo, Brazil.
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Francisco Moscoso Costa
1Department of Cardiology, Santa Cruz Hospital, CHLO, Carnaxide, Portugal
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Mariana Faustino
1Department of Cardiology, Santa Cruz Hospital, CHLO, Carnaxide, Portugal
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Francisco Morgado
1Department of Cardiology, Santa Cruz Hospital, CHLO, Carnaxide, Portugal
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Pier D Lambiase
2St. Bartholomew’s Hospital, Barts Health NHS Trust, London, United Kingdom
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Mauricio Scanavacca
3Heart Institute (InCor), University of São Paulo Medical School Hospital, São Paulo, Brazil.
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Pedro Adragao
1Department of Cardiology, Santa Cruz Hospital, CHLO, Carnaxide, Portugal
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Abstract

Purpose Catheter ablation has been recently utilised in patients with Brugada syndrome to prevent ventricular arrhythmias. We hypothesized whether a mapping algorithm “Ripple-mapping” would be able to rapidly identify the areas of long-duration multicomponent electrograms which constitute the targets for ablation for an automated strategy.

Methods Ripple-Mapping analysis was performed in all patients undergoing catheter ablation of Brugada syndrome in 2 centers. The activity propagation pattern determined by Ripple-Mapping was assessed, and areas of long duration potentials identified by visual inspection. The area of interest with long-duration potentials was correlated with the location of the ablation lesions.

Results Detection of long duration potentials was possible in all four patients in this analysis. Points marking the ablation area in 2 patients were a perfect match to abnormal areas identified by Ripple-mapping. However, in 2 patients Ripple-mapping identified additional sites of long duration potentials which were not ablated. Acute and mid-term normalization of the ECG pattern was observed in three patients, and all these were free from arrhythmia relapse during a 10.3±3.2 months follow-up. In one patient, who had no ECG normalization and had arrhythmia relapse, the ablated area corresponded to <25% of the Ripple-map region of interest.

Conclusions This study shows the potential use of Ripple-mapping for identifying areas of long duration multicomponent electrograms in patients with Brugada syndrome and recurrent ventricular arrhythmias. This technique enables the rapid definition of an area of interest which should then be validated by the operator before performing ablation with an end-point of ECG normalisation.

Footnotes

  • Disclosures and Conflicts of Interest – Providência received training grants from Boston Scientific, Sorin Medical, and Biosense Webster, and a Research Grant from Medtronic; Lambiase Research grants and speaker fees from Boston Scientific, St Jude, Research Grants from Medtronic and Biotronik, Funding from UCLH Biomedicine NIHR.

  • Sources of Funding: Research supported by University College of London Hospitals Biomedicine Research Centre, a Partnership between University College of London and University College of London Hospitals NHS Trust, funded by the National Institute for Health Research (NIHR).

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted February 19, 2018.
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Ripple-Mapping for the Detection of Long Duration Action Potential Areas in Patients with Brugada Syndrome
Rui Providencia, Diogo Cavaco, Pedro Carmo, Cristiano Pisani, Francisco Moscoso Costa, Mariana Faustino, Francisco Morgado, Pier D Lambiase, Mauricio Scanavacca, Pedro Adragao
bioRxiv 263145; doi: https://doi.org/10.1101/263145
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Ripple-Mapping for the Detection of Long Duration Action Potential Areas in Patients with Brugada Syndrome
Rui Providencia, Diogo Cavaco, Pedro Carmo, Cristiano Pisani, Francisco Moscoso Costa, Mariana Faustino, Francisco Morgado, Pier D Lambiase, Mauricio Scanavacca, Pedro Adragao
bioRxiv 263145; doi: https://doi.org/10.1101/263145

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