Literature DB >> 28011829

Influence of the earliest right atrial activation site and its proximity to interatrial connections on P-wave morphology.

Axel Loewe1, Martin W Krueger2, Fredrik Holmqvist3,4, Olaf Dössel2, Gunnar Seemann2,5, Pyotr G Platonov3,4.   

Abstract

AIMS: P-wave morphology correlates with the risk for atrial fibrillation (AF). Left atrial (LA) enlargement could explain both the higher risk for AF and higher P-wave terminal force (PTF) in lead V1. However, PTF-V1 has been shown to correlate poorly with LA size. We hypothesize that PTF-V1 is also affected by the earliest activated site (EAS) in the right atrium and its proximity to inter-atrial connections (IAC), which both show tremendous variability. METHODS AND
RESULTS: Atrial excitation was triggered from seven different EAS in a cohort of eight anatomically personalized computational models. The posterior IACs were non-conductive in a second set of simulations. Body surface ECGs were computed and separated by left and right atrial contributions. Mid-septal EAS yielded the highest PTF-V1. More anterior/superior and more inferior EAS yielded lower absolute PTF-V1 values deviating by a factor of up to 2.0 for adjacent EAS. Earliest right-to-left activation was conducted via Bachmann's Bundle (BB) for anterior/superior EAS and shifted towards posterior IACs for more inferior EAS. Non-conducting posterior IACs increased PTF-V1 by up to 150% compared to intact posterior IACs for inferior EAS. LA contribution to the P-wave integral was 24% on average.
CONCLUSION: The electrical contributor's site of earliest activation and intactness of posterior IACs affect PTF-V1 significantly by changing LA breakthrough sites independent from LA size. This should be considered for interpretation of electrocardiographical signs of LA abnormality and LA enlargement. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author 2016. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Computational model ; Inter-atrial connections; Left atrial abnormality ; Left atrial enlargement ; P-wave terminal force ; Sinus node

Mesh:

Year:  2016        PMID: 28011829     DOI: 10.1093/europace/euw349

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  4 in total

1.  In situ procedure for high-efficiency computational modeling of atrial fibrillation reflecting personal anatomy, fiber orientation, fibrosis, and electrophysiology.

Authors:  Byounghyun Lim; Jaehyeok Kim; Minki Hwang; Jun-Seop Song; Jung Ki Lee; Hee-Tae Yu; Tae-Hoon Kim; Jae-Sun Uhm; Boyoung Joung; Moon-Hyung Lee; Hui-Nam Pak
Journal:  Sci Rep       Date:  2020-02-12       Impact factor: 4.379

2.  A Reproducible Protocol to Assess Arrhythmia Vulnerability in silico: Pacing at the End of the Effective Refractory Period.

Authors:  Luca Azzolin; Steffen Schuler; Olaf Dössel; Axel Loewe
Journal:  Front Physiol       Date:  2021-04-01       Impact factor: 4.566

3.  Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG.

Authors:  Giorgio Luongo; Luca Azzolin; Steffen Schuler; Massimo W Rivolta; Tiago P Almeida; Juan P Martínez; Diogo C Soriano; Armin Luik; Björn Müller-Edenborn; Amir Jadidi; Olaf Dössel; Roberto Sassi; Pablo Laguna; Axel Loewe
Journal:  Cardiovasc Digit Health J       Date:  2021-04

4.  A Computational Framework to Benchmark Basket Catheter Guided Ablation in Atrial Fibrillation.

Authors:  Martino Alessandrini; Maddalena Valinoti; Laura Unger; Tobias Oesterlein; Olaf Dössel; Cristiana Corsi; Axel Loewe; Stefano Severi
Journal:  Front Physiol       Date:  2018-09-21       Impact factor: 4.566

  4 in total

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