Evidence map›Paper›PMID 42519382›Full record

ArticleFrontiers in cardiovascular medicine2026

Segmental analysis of left atrial substrate severity predictors in patients undergoing persistent atrial fibrillation ablation.

Edoardo Cecchini, Gennaro Fabiano, Paola Liporace, Paolo Francesco Sorrenti, Giuseppe Campagna, Emmanuel Fabiano, Jacopo Colella, Alessandro Di Vilio, Giuseppe Indellicati, Simona Brogneri and 3 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 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

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors.

Edoardo CecchiniCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Gennaro FabianoCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Paola LiporaceCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Paolo Francesco SorrentiCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Giuseppe CampagnaCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Emmanuel FabianoMagna Graecia University of Catanzaro, Catanzaro, Italy.
Jacopo ColellaCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Alessandro Di VilioCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Giuseppe IndellicatiCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Simona BrogneriCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Diego SangiorgiCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Andrea PetrettaCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.
Saverio IacopinoCardiovascular Department, Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Outcomes after catheter ablation remain suboptimal in persistent atrial fibrillation (AF), likely reflecting a more pronounced left atrial (LA) structural and electrical remodeling in these patients. Empirical additional ablation lesions lack robust supporting evidence and may even lead to adverse outcomes, underlining the need to tailor ablation procedures to the individual atrial substrate. The objective of the study was to perform a multidimensional and segment-by-segment assessment of LA substrate anomalies in persistent AF. Methods: In this single-center retrospective study, 69 consecutive patients undergoing ablation for drug-refractory persistent AF were analyzed. Four factors were selected as possible predictors of LA substrate severity: bipolar voltage, left atrial wall thickness (LAWT), epicardial adipose tissue (EAT) and AF drivers. An AI-based platform was used to segment the LA and to provide detailed analyses. Results: Among the selected predictors several correlations were identified. Median follow-up duration was 845 days; freedom from recurrence at 12 months was 70.6%. At survival analysis, higher mean percentage of very low-voltage zones (<0.2 mV) predicted recurrences (HR 1.025; Discussion: The intricate relationship between structural and electrical remodeling in persistent AF underscores the critical role of LA substrate characterization. Understanding the correlations among factors that may indicate atrial substrate abnormalities, including through AI-based platforms, may help deliver a more personalized procedure for each patient.

Indexed as

AF driversartificial intelligenceCARTONETepicardial adipose tissueleft atrial substrateleft atrial wall thicknesslow voltage areas

Identifiers

PMID42519382
PMCPMC13381624

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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.