Interatrial Block Association With Adverse Cardiovascular Outcomes in Patients Without a History of Atrial Fibrillation.


Journal

JACC. Clinical electrophysiology
ISSN: 2405-5018
Titre abrégé: JACC Clin Electrophysiol
Pays: United States
ID NLM: 101656995

Informations de publication

Date de publication:
08 2023
Historique:
received: 19 12 2022
revised: 11 04 2023
accepted: 14 04 2023
medline: 1 9 2023
pubmed: 24 6 2023
entrez: 24 6 2023
Statut: ppublish

Résumé

Interatrial block (IAB) is associated with thromboembolism and atrial arrhythmias. However, prior studies included small patient cohorts so it remains unclear whether IAB predicts adverse outcomes particularly in context of atrial fibrillation (AF)/atrial flutter (AFL). This study sought to determine whether IAB portends increased stroke risk in a large cohort in the presence or absence of AFAF/AFL. We performed a 5-center retrospective analysis of 4,837,989 electrocardiograms (ECGs) from 1,228,291 patients. IAB was defined as P-wave duration ≥120 ms in leads II, III, or aVF. Measurements were extracted as .XML files. After excluding patients with prior AF/AFL, 1,825,958 ECGs from 458,994 patients remained. Outcomes were analyzed using restricted mean survival time analysis and restricted mean time lost. There were 86,317 patients with IAB and 355,032 patients without IAB. IAB prevalence in the cohort was 19.6% and was most common in Black (26.1%), White (20.9%), and Hispanic (18.5%) patients and least prevalent in Native Americans (9.2%). IAB was independently associated with increased stroke probability (restricted mean time lost ratio coefficient [RMTLRC]: 1.43; 95% CI: 1.35-1.51; tau = 1,895), mortality (RMTLRC: 1.14; 95% CI: 1.07-1.21; tau = 1,924), heart failure (RMTLRC: 1.94; 95% CI: 1.83-2.04; tau = 1,921), systemic thromboembolism (RMTLRC: 1.62; 95% CI: 1.53-1.71; tau = 1,897), and incident AF/AFL (RMTLRC: 1.16; 95% CI: 1.10-1.22; tau = 1,888). IAB was not associated with stroke in patients with pre-existing AF/AFL. IAB is independently associated with stroke in patients with no history of AF/AFL even after adjustment for incident AF/AFL and CHA

Sections du résumé

BACKGROUND
Interatrial block (IAB) is associated with thromboembolism and atrial arrhythmias. However, prior studies included small patient cohorts so it remains unclear whether IAB predicts adverse outcomes particularly in context of atrial fibrillation (AF)/atrial flutter (AFL).
OBJECTIVES
This study sought to determine whether IAB portends increased stroke risk in a large cohort in the presence or absence of AFAF/AFL.
METHODS
We performed a 5-center retrospective analysis of 4,837,989 electrocardiograms (ECGs) from 1,228,291 patients. IAB was defined as P-wave duration ≥120 ms in leads II, III, or aVF. Measurements were extracted as .XML files. After excluding patients with prior AF/AFL, 1,825,958 ECGs from 458,994 patients remained. Outcomes were analyzed using restricted mean survival time analysis and restricted mean time lost.
RESULTS
There were 86,317 patients with IAB and 355,032 patients without IAB. IAB prevalence in the cohort was 19.6% and was most common in Black (26.1%), White (20.9%), and Hispanic (18.5%) patients and least prevalent in Native Americans (9.2%). IAB was independently associated with increased stroke probability (restricted mean time lost ratio coefficient [RMTLRC]: 1.43; 95% CI: 1.35-1.51; tau = 1,895), mortality (RMTLRC: 1.14; 95% CI: 1.07-1.21; tau = 1,924), heart failure (RMTLRC: 1.94; 95% CI: 1.83-2.04; tau = 1,921), systemic thromboembolism (RMTLRC: 1.62; 95% CI: 1.53-1.71; tau = 1,897), and incident AF/AFL (RMTLRC: 1.16; 95% CI: 1.10-1.22; tau = 1,888). IAB was not associated with stroke in patients with pre-existing AF/AFL.
CONCLUSIONS
IAB is independently associated with stroke in patients with no history of AF/AFL even after adjustment for incident AF/AFL and CHA

Identifiants

pubmed: 37354170
pii: S2405-500X(23)00254-2
doi: 10.1016/j.jacep.2023.04.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1804-1815

Informations de copyright

Copyright © 2023 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Funding Support and Author Disclosures This project was internally funded. Dr Reddy has served as a consultant to Kardium Inc (including Equity); is a consultant to Abbott, Ablacon, Acutus Medical, Affera-Medtronic, Apama Medical-Boston Scientific, APN Health, Aquaheart, Atacor, AtiAN, Autonomix, Axon Therapies, Backbeat, BioSig, Biosense-Webster, BioTel Heart, Biotronik, Boston Scientific, Cairdac, CardiaCare, Cardiofocus, Cardionomic, CardioNXT / AFTx, Circa Scientific, CoreMap, CoRISMA, Corvia Medical, Dinova-Hangzhou DiNovA EP Technology, East End Medical, EBR, EPD-Philips, EP Frontiers, Epix Therapeutics, EpiEP, Eximo, Farapulse-Boston Scientific, Fire1, Focused Therapeutics, Gore & Associates, HRT, Impulse Dynamics, Intershunt, Javelin, Keystone Heart, LuxMed, Medlumics, Medtronic, Middlepeak, Neutrace, Nuvera-Biosense Webster, Oracle Health, Philips, Pulse Biosciences, Restore Medical, Sirona Medical, SoundCath, and Valcare; and has equity from Ablacon, Acutus Medical, Affera-Medtronic, Apama Medical-Boston Scientific, APN Health, Aquaheart, Atacor, Autonomix, Axon Therapies, Backbeat, BioSig, CardiaCare, CardioNXT / AFTx, Circa Scientific, CoRISMA, Corvia Medical, Dinova-Hangzhou DiNovA EP Technology, East End Medical, EPD-Philips, EP Frontiers, Epix Therapeutics, EpiEP, Eximo, Farapulse-Boston Scientific, Focused Therapeutics, HRT, Intershunt, Javelin, Keystone Heart, LuxMed, Manual Surgical Sciences, Medlumics, Middlepeak, Neutrace, Newpace, Nuvera-Biosense Webster, Nyra Medical, Oracle Health, Restore Medical, Sirona Medical, SoundCath, Surecor, Valcare, and Vizaramed. Dr Fuster serves as the Editor-in-Chief of JACC. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Auteurs

Joshua Lampert (J)

Helmsley Electrophysiology Center, Mount Sinai Hospital, New York, New York, USA. Electronic address: https://twitter.com/joshuamlampertmd.

David Power (D)

Mount Sinai Heart, Mount Sinai Hospital, New York, New York, USA.

Shreyas Havaldar (S)

Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Usha Govindarajulu (U)

Center for Biostatistics, Department of Population Health, Mount Sinai Hospital, New York, New York, USA.

Iwanari Kawamura (I)

Helmsley Electrophysiology Center, Mount Sinai Hospital, New York, New York, USA.

Abhishek Maan (A)

Helmsley Electrophysiology Center, Mount Sinai Hospital, New York, New York, USA.

Marc A Miller (MA)

Helmsley Electrophysiology Center, Mount Sinai Hospital, New York, New York, USA.

Kartikeya Menon (K)

Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Jacob Koruth (J)

Helmsley Electrophysiology Center, Mount Sinai Hospital, New York, New York, USA.

William Whang (W)

Helmsley Electrophysiology Center, Mount Sinai Hospital, New York, New York, USA.

Emilia Bagiella (E)

Center for Biostatistics, Department of Population Health, Mount Sinai Hospital, New York, New York, USA.

Antoni Bayes-Genis (A)

Heart Institute, Hospital Universitario Germans trias I Pujol, Badalona, Spain.

Daniel Musikantow (D)

Helmsley Electrophysiology Center, Mount Sinai Hospital, New York, New York, USA.

Mohit Turagam (M)

Helmsley Electrophysiology Center, Mount Sinai Hospital, New York, New York, USA.

Antoni Bayes de Luna (A)

Cardiovascular Research Foundation, Cardiovascular ICCC-Program, Research Institute Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, Barcelona, Spain.

Jonathan Halperin (J)

Mount Sinai Heart, Mount Sinai Hospital, New York, New York, USA.

Srinivas R Dukkipati (SR)

Helmsley Electrophysiology Center, Mount Sinai Hospital, New York, New York, USA.

Akhil Vaid (A)

Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Girish Nadkarni (G)

Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, New York, USA; The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Benjamin Glicksberg (B)

Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Valentin Fuster (V)

Mount Sinai Heart, Mount Sinai Hospital, New York, New York, USA.

Vivek Y Reddy (VY)

Helmsley Electrophysiology Center, Mount Sinai Hospital, New York, New York, USA. Electronic address: vivek.reddy@mountsinai.org.

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Classifications MeSH