Evidence map›Paper›PMID 42774624›Full record

ArticleHeart rhythm O22026

Sinus-rhythm conduction phenotyping using vector-flow mapping in first-time atrial fibrillation ablation: Associations with structural remodeling and thromboembolic risk.

Chisato Kitamura, Masatsugu Ohe, Kensuke Hori, Yuichi Hattori, Kosuke Morita, Hideaki Iwahashi, Nagisa Morikawa, Yume Nohara, Jun Kumanomido, Shogo Ito and 1 more

Abstract read
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Article in Heart rhythm O2, 2026. 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Chisato KitamuraDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University, Fukuoka, Japan.
Masatsugu OheDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University, Fukuoka, Japan.
Kensuke HoriDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University, Fukuoka, Japan.
Yuichi HattoriDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University, Fukuoka, Japan.
Kosuke MoritaDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University, Fukuoka, Japan.
Hideaki IwahashiDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University, Fukuoka, Japan.
Nagisa MorikawaDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University, Fukuoka, Japan.
Yume NoharaDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University, Fukuoka, Japan.
Jun KumanomidoDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University, Fukuoka, Japan.
Shogo ItoDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University, Fukuoka, Japan.
Yoshihiro FukumotoDivision of Cardiovascular Medicine, Department of Internal Medicine, Kurume University, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary vein isolation achieves success in 60%-80% of first ablation procedures. Sinus-rhythm vector-flow mapping (COHERENT module) may enable phenotype-guided ablation. Objective: This study aimed to classify sinus-rhythm conduction phenotypes using COHERENT mapping and assess associations with atrial remodeling, recurrence, and thromboembolic risk. Methods: We prospectively enrolled 80 consecutive patients (mean age 65.1 ± 12.5 years; 32.5% persistent atrial fibrillation [AF]) undergoing initial AF ablation with high-density sinus-rhythm mapping. 5 phenotypes were defined: normal flow, conduction delay, congested flow, disrupted flow, and Bachmann's bundle split (BBS). Patients were grouped into 8 mutually exclusive, collectively exhaustive phenotype-burden categories (normal, 4 single-phenotype groups, double, triple, quadruple). Outcomes were assessed by unadjusted logistic regression with normal as the reference; all 80 patients completed 24-month follow-up. Results: Phenotype-burden categories showed gradients in structural and AF-related markers. Each 10 mL/m Conclusion: Sinus-rhythm COHERENT mapping delineated distinct conduction phenotypes associated with progressive atrial structural remodeling. Phenotype burden defined a graded atrial cardiomyopathy continuum, with double showing the highest 24-month recurrence. BBS only and quadruple shared borderline thromboembolic signals via distinct mechanisms. These findings provide mechanistic insight into atrial cardiomyopathy and generate hypotheses for substrate-guided ablation and thromboembolic-risk assessment.

Indexed as

Atrial cardiomyopathyAtrial fibrillationBachmann’s bundleCatheter ablationCOHERENT mappingConduction phenotypesLeft atrial remodelingPhenotype burdenStroke risk

Identifiers

PMID42774624
PMCPMC13594457

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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.