Evidence map›Paper›PMID 39802439›Full record

ArticleJournal of molecular and cellular cardiology plus2024

Selecting repetitive focal and rotational activation patterns with the highest probability of being a source of atrial fibrillation.

Ben J M Hermans, Ozan Özgül, Michael Wolf, Victor G Marques, Arne van Hunnik, Sander Verheule, Sevasti-Maria Chaldoupi, Dominik Linz, Milad El Haddad, Mattias Duytschaever and 5 more

Abstract read
In one paragraph

Article in Journal of molecular and cellular cardiology plus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ben J M HermansDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), University Maastricht, Maastricht, the Netherlands.
Ozan ÖzgülDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), University Maastricht, Maastricht, the Netherlands.
Michael WolfDepartment of Cardiology, AZ Sint-Jan Brugge, Bruges, Belgium.
Victor G MarquesDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), University Maastricht, Maastricht, the Netherlands.
Arne van HunnikDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), University Maastricht, Maastricht, the Netherlands.
Sander VerheuleDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), University Maastricht, Maastricht, the Netherlands.
Sevasti-Maria ChaldoupiDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands.
Dominik LinzDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands.
Milad El HaddadDepartment of Cardiology, AZ Sint-Jan Brugge, Bruges, Belgium.
Mattias DuytschaeverDepartment of Cardiology, AZ Sint-Jan Brugge, Bruges, Belgium.
Pietro BonizziDepartment of Advanced Computing Sciences, Maastricht University, Maastricht, the Netherlands.
Kevin VernooyDepartment of Cardiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, the Netherlands.
Sébastien KnechtDepartment of Cardiology, AZ Sint-Jan Brugge, Bruges, Belgium.
Stef ZeemeringDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), University Maastricht, Maastricht, the Netherlands.
Ulrich SchottenDepartment of Physiology, Cardiovascular Research Institute Maastricht (CARIM), University Maastricht, Maastricht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Repetitive focal and rotational activation patterns are currently used as additional ablation targets for atrial fibrillation (AF). However, there is no evidence that all these detected targets are actual sources of AF. In this paper, we present an approach that detects and ranks AF activation patterns not only based on the degree of pattern repetitiveness but also on the extent to which they are able to entrain their vicinity. This new technique might enable selecting the site with the highest probability of being a source for AF. Methods: We retrospectively analyzed high-density bi-atrial sequential mapping in ablation-naive persistent AF patients ( Results: A total of 459 recordings were analyzed (35 ± 5 per patient). We detected 131 repetitive focal (10 ± 4 per patient) and 56 rotational activation patterns (4 ± 3 per patient) in total. Focal patterns were more repetitive than rotational patterns (median [IQR] 0.7 [0.4-1.3] seconds vs. 0.5 [0.4-0.6] seconds, Conclusion: This study introduces a novel technique to select the repetitive focal or rotational pattern with the highest probability of being a source. We observed that only a minority of repetitive focal or rotational patterns seem to be able to entrain their vicinity and thereby are likely to serve as sources of AF.

Indexed as

AblationAF sourcesAtrial fibrillationElectro-anatomical mapping

Identifiers

PMID39802439
PMCPMC11708417

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.