Evidence map›Paper›PMID 40278808›Full record

ArticleHeart rhythm2026

The atrial electrocardiogram in patients with persistent atrial fibrillation.

Ghaith Zaatari, Jorge Bohorquez, Laura E Sutaria, Raul D Mitrani, Jason Ng, Jeffrey J Goldberger

Abstract read
In one paragraph

Article in Heart rhythm, 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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0citing papers 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

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

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5 · Who and what money

Authors and funding

6 authors.

Ghaith ZaatariDivision of Cardiology, Department of Medicine, University of Miami, Miami, Florida.
Jorge BohorquezDepartment of Biomedical Engineering, University of Miami, Miami, Florida.
Laura E SutariaMontefiore Medical Center, Bronx, New York.
Raul D MitraniDivision of Cardiology, Department of Medicine, University of Miami, Miami, Florida.
Jason NgNorthwestern University, Evanston, Illinois.
Jeffrey J GoldbergerDivision of Cardiology, Department of Medicine, University of Miami, Miami, Florida. Electronic address: j-goldberger@miami.edu.

Funding

Pathophysiological Significance of Atrial Fibrillation Electrogram PatternsR01HL168117 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI JEFFREY J GOLDBERGER · 2023 to 2026
$2.7M
Pathophysiological Significance of Atrial Fibrillation Electrogram PatternsR01HL125881 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ARORA, RISHI · 2015 to 2019
$2.4M
NHLBI NIH HHS 1R01HL125881NHLBI NIH HHS R01 HL125881NHLBI NIH HHS R01 HL168117
6 · The paper itself

Abstract

backgroundThe electrocardiogram (ECG) in persistent atrial fibrillation (AF) is underused. Signal processing techniques can extract the f-waves from the QRS-T complex to generate the atrial ECG (A-ECG).

objectiveThis study aimed to explore A-ECG technical and clinical issues.

methodsThirty patients (age, 62.6 ± 9.4 years; 80% male; CHA

resultsTime-frequency A-ECG analysis demonstrated dynamic spectral features. Repeated 10-second A-ECG recordings had higher coefficient of variation (7.5%-10.0%) compared with repeated 4- to 5-minute recordings (1.1%-3.4%). Short-term reproducibility of 2 recordings ∼30 minutes apart showed high correlation (r = 0.91-0.99; all P values < .0001). Regional lead analyses showed no significant differences except for the comparison of posterior leads V

conclusionThis study provides the practical basis for further use of the A-ECG as a novel tool for evaluating persistent AF and demonstrates its clinical relevance. Further phenotypic classification of AF based on the A-ECG and assessment of treatment response should be explored.

Indexed as

Atrial FibrillationCatheter AblationElectrocardiographyHeart AtriaFemaleFollow-Up StudiesHumansMaleMiddle AgedReproducibility of ResultsAblationAtrial fibrillationDominant frequencyElectrocardiogramSignal processing

Identifiers

PMID40278808
PMCPMC13597108

What OpenQuestion holds

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Registered trials

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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.