Evidence map›Paper›PMID 41169977›Full record

ArticleHeart rhythm O22025

High-density atrial mapping, P-wave analysis, and computational simulations in Brugada syndrome: Enhancing the understanding of atrial fibrillation.

Beatrice Zanchi, Ali Gharaviri, Marco Bergonti, Simone Pezzuto, Tardu Özkartal, Maria Luce Caputo, Esther Scheirlynck, Carlo de Asmundis, Francesca Faraci, Giulio Conte

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Article in Heart rhythm O2, 2025. 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Beatrice ZanchiDepartment of Innovative Technologies, Institute of Digital Technologies for Personalized Healthcare of SUPSI, Lugano, Switzerland.
Ali GharaviriCenter for Computational Medicine in Cardiology, USI, Lugano, Switzerland.
Marco BergontiDivision of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Simone PezzutoCenter for Computational Medicine in Cardiology, USI, Lugano, Switzerland.
Tardu ÖzkartalDivision of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Maria Luce CaputoDivision of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Esther ScheirlynckDivision of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Carlo de AsmundisHeart Rhythm Management Centre, Postgraduate Program in Cardiac Electrophysiology and Pacing, European Reference Networks Guard-Heart, Universitair Ziekenhuis Brussel-Vrije Universiteit Brussel, Brussels, Belgium.
Francesca FaraciDepartment of Innovative Technologies, Institute of Digital Technologies for Personalized Healthcare of SUPSI, Lugano, Switzerland.
Giulio ConteCenter for Computational Medicine in Cardiology, USI, Lugano, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An increased risk of atrial fibrillation (AF) has been reported in patients with Brugada syndrome (BrS). The pathophysiology of AF susceptibility in BrS is largely unknown. Objective: This study aimed to characterize the atrial electrical properties of patients with BrS with and without AF based on P-wave and high-density atrial mapping analysis with a focus on conduction velocity (CV) and provide mechanistic insights on AF susceptibility using computer modeling. Methods: Electrocardiographic signals were processed, and P-wave parameters were analyzed in a consecutive series of patients with and without BrS. High-density atrial mapping was performed in patients with BrS undergoing an electrophysiological procedure. CV vectors were numerically approximated at each recording point using polynomial surface fitting. AF initiation susceptibility was simulated in a 3-dimensional atrial model and compared with control simulations. Results: A total of 133 subjects (89 patients with BrS and 44 controls) were included. AF history was present in 11% of patients with BrS. Patients with BrS had longer mean P-wave duration than controls (135 ms vs 124 ms, Conclusion: Conventional P-wave parameters do not identify patients with BrS prone to AF. Increased TAAT is related to reduced local CVs, explaining the prolonged P-wave duration observed in patients with BrS. Simulation studies showed significantly higher AF susceptibility initiation in patients with BrS than in controls.

Indexed as

Atrial fibrillationBrugada syndromeCardiac modelingComputer simulationsElectroanatomic mappingElectrocardiogramP wave

Identifiers

PMID41169977
PMCPMC12570171

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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.