Evidence map›Paper›PMID 41737938›Full record

ArticleHeart rhythm O22026

Spatiotemporal mapping for detection of anatomic locations of drivers of atrial fibrillation in swine.

Xiangzhen Kong, Yuxuan Du, Vasanth Ravikumar, Jason A Tri, Nicholas Y Tan, Christopher V DeSimone, Elena G Tolkacheva

Abstract read
In one paragraph

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.

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

7 authors.

Xiangzhen KongDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota.
Yuxuan DuDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota.
Vasanth RavikumarDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota.
Jason A TriCardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
Nicholas Y TanCardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
Christopher V DeSimoneCardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
Elena G TolkachevaDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Catheter ablation is a common means of treatment for atrial fibrillation (AFib). This approach involves electrical isolation of the pulmonary veins (PVs) from the left atrium (LA). However, in patients with persistent AFib, outcomes remain suboptimal. In addition to PV isolation (PVI), additional substrate ablation is likely required to improve outcomes. Aside from PVI, drivers for AFib and substrate necessary for AFib maintenance are incompletely understood and may involve certain regions of LA. Objective: This study aimed to use our previously developed approaches to visualize drivers of AFib and to identify their spatial correlation within the atrium. To accomplish this goal, we compared the spatial location of these AFib drivers from the LA before PVI (pre-PVI), as well as after PVI during AFib.

methodsIntracardiac electrograms were collected from swine (n = 7) using the CARTO 3 mapping system and PentaRay multielectrode mapping catheter. Bipolar and unipolar intracardiac electrograms were analyzed using our recently developed novel signal processing approaches, and similarity scores for every catheter position were calculated to identify AFib drivers within the atria. These AFib drivers were spatially correlated with 9 anatomic hallmarks of LA, and the presence of focal activity was quantified. Results: We demonstrated the ability to identify and track AFib drivers in a large-animal model using our similarity-score-based framework in both pre- and post-PVI AFib and successfully correlated these drivers with LA anatomic hallmarks while capturing their spatial and temporal changes. Conclusion: Our findings indicate that pre-PVI drivers for AFib were identified both within and outside the PV regions. Post-PVI drivers were located in different parts of LA. We also noted a predominance of non-PV drivers to be from the appendage, septal wall, and posterior wall. These data highlight the need for further research on these regions and underscore the importance of non-PV sites in AFib maintenance.

Indexed as

Anatomic hallmarksAtrial fibrillationCardiac mapping and ablationIntracardiac electrogramsLeft atriumPulmonary vein isolation

Identifiers

PMID41737938
PMCPMC12925859

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.