Evidence map›Paper›PMID 42544861›Full record

ArticleThe Journal of physiology2026

Transmural heterogeneity in 3D fibrosis distribution is associated with endo-epicardial electrical dyssynchrony in persistent atrial fibrillation.

Syed Yusuf Ali, Yazan Mohsen, Shreeram Sabareesan, Shane Loeffler, Carolyna Yamamoto, Adityo Prakosa, Eugene G Kholmovski, David Spragg, Hugh Calkins, Kensuke Sakata and 1 more

Abstract read
In one paragraph

Article in The Journal of physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

11 authors.

Syed Yusuf AliDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-2706-2717
Yazan MohsenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0009-0002-3932-2106
Shreeram SabareesanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0009-0006-3898-2443
Shane LoefflerAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-5080-2330
Carolyna YamamotoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-6735-045X
Adityo PrakosaAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, Maryland, USA.
Eugene G KholmovskiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-3271-7247
David SpraggDepartment of Cardiology, Heart and Vascular Institute, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Hugh CalkinsDepartment of Cardiology, Heart and Vascular Institute, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Kensuke SakataAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0003-0204-3613
Natalia TrayanovaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-8661-063X

Funding

Artificial intelligence analysis of atrial remodeling evolution in patients with atrial fibrillation: Towards optimal ablation strategiesR01HL166759 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Eugene Kholmovski, David Spragg · 2023 to 2026
$3.2M
Heart Digital Twin Analysis of Arrhythmias due to Infiltrating AdiposityR01HL174440 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI NATALIA A. TRAYANOVA · 2024 to 2026
$2.1M
Fondation LeducqNHLBI NIH HHS R01 HL166759NHLBI NIH HHS R01 HL174440NIH HHS R01HL166759NIH HHS R01HL174440
6 · The paper itself

Abstract

Despite the established role of endo-epicardial dissociation in the substrate of persistent atrial fibrillation (PsAF), the underlying mechanisms within the 3D atrial wall that lead to this phenomenon are not fully understood. Using personalized digital twin (DT) technology, we investigated the association between 3D transmurally heterogenous fibrosis architecture and endo-epicardial dissociation in PsAF. LGE-MRI scans from 21 PsAF patients were used to generate bi-atrial DTs. Following virtual induction of reentry using programmed stimulation, a comparative analysis of the electrophysiological and structural properties of reentry-sustaining regions (RRs, n = 91) against controls (non-RRs, n = 73) was performed. RRs exhibited significantly greater endo-epicardial dissociation compared to non-RRs, evidenced by larger differences in median transmembrane potential (60.1 vs. 4.1 mV, P < 0.001) and local activation times (55 vs. 14.9 ms, P < 0.001). Lower dice similarity coefficient (DSC) was observed in RRs compared with non-RRs (median 0.731 (IQR 0.660-0.812) versus 0.880 (IQR 0.642-0.971), respectively; P = 0.0009). In multivariable logistic regression, fibrosis percentage, transmembrane voltage difference, and DSC were independently associated with RR status, whereas LAT difference was not. Our findings reveal that 3D transmurally heterogeneous fibrosis architecture is associated with endo-epicardial electrical dissociation in PsAF, with increased dissociation observed in regions harbouring reentrant circuits. Our findings advance the mechanistic understanding of PsAF arrhythmogenesis and provide a rationale for developing novel mapping and ablation strategies that account for the transmural complexity of the atrial substrate. KEY POINTS: Persistent atrial fibrillation (PsAF) remains a significant clinical challenge, often marked by high rates of post-ablation recurrence. While endo-epicardial dissociation is a known factor in the PsAF substrate, the underlying mechanisms within the 3D atrial wall that lead to this phenomenon remain incompletely understood. In this study, we utilized personalized digital twin technology derived from LGE-MRI scans of 21 patients to investigate the association between transmurally heterogeneous fibrosis and endo-epi electrical dissociation. Our findings reveal that 3D transmurally heterogeneous fibrosis architecture is associated with endo-epicardial electrical dissociation in PsAF. In multivariable analysis, fibrosis percentage, transmembrane voltage difference, and DSC were independently associated with reentrant activity. This work not only advances the mechanistic understanding of PsAF arrhythmogenesis but also suggests that successful clinical ablation strategies must account for the full 3D complexity of the atrial wall to target hidden intramural and epicardial pathways.

Indexed as

atrial fibrillationdigital twinsendo‐epicardial dyssynchrony

Identifiers

PMID42544861
PMCPMC13480452

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.