Evidence map›Paper›PMID 38031313›Full record

ArticleJournal of cardiovascular electrophysiology2024

Comparison of electrogram characteristics in persistent atrial fibrillation.

Jeffrey J Goldberger, Ghaith Zaatari, Raul D Mitrani, Catherine Blandon, Jorge Bohorquez, Jason Ng, Justin Ng, Alex Velasquez, Litsa Lambrakos, Rishi Arora

Open access · hybridAbstract read
In one paragraph

Article in Journal of cardiovascular electrophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 66% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Jeffrey J GoldbergerDepartment of Medicine, Division of Cardiology, University of Miami, Miami, Florida, USA.ORCID 0000-0001-9802-1851
Ghaith ZaatariDepartment of Medicine, Division of Cardiology, University of Miami, Miami, Florida, USA.
Raul D MitraniDepartment of Medicine, Division of Cardiology, University of Miami, Miami, Florida, USA.
Catherine BlandonDepartment of Medicine, Division of Cardiology, University of Miami, Miami, Florida, USA.ORCID 0000-0001-6414-6787
Jorge BohorquezDepartment of Biomedical Engineering, University of Miami, Miami, Florida, USA.
Jason NgDepartment of Medicine, DIvision of Cardiology, Northwestern University, Evanston, Illinois, USA.
Justin NgDepartment of Medicine, DIvision of Cardiology, Northwestern University, Evanston, Illinois, USA.
Alex VelasquezDepartment of Medicine, Division of Cardiology, University of Miami, Miami, Florida, USA.
Litsa LambrakosDepartment of Medicine, Division of Cardiology, University of Miami, Miami, Florida, USA.
Rishi AroraDepartment of Medicine, DIvision of Cardiology, Northwestern University, Evanston, Illinois, USA.ORCID 0000-0002-0725-4332
University of Miami · USNorthwestern University · US

Funding

New and Disruptive Therapeutic Approaches to Target Fundamental Molecular Mechanisms Underlying Atrial FibrillationR35HL161249 · NHLBI · UNIVERSITY OF CHICAGO · PI Rishi Arora · 2022 to 2026
$5.1M
Pathophysiological Significance of Atrial Fibrillation Electrogram PatternsR01HL125881 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ARORA, RISHI · 2015 to 2019
$2.4M
Mapping electrogram morphology recurrence for atrial fibrillation ablationR41HL127907 · NHLBI · GOLD T-TECH, INC. · PI NG, JASON · 2015 to 2015
$225k
Miami Heart Research InstituteNational Heart, Lung, and Blood Institute, National Institutes of Health 1R01HL125881National Heart, Lung, and Blood Institute, National Institutes of Health 1R41HL127907NHLBI NIH HHS R01 HL125881NHLBI NIH HHS R35 HL161249NHLBI NIH HHS R41 HL127907
6 · The paper itself

Abstract

introductionMultiple analysis techniques evaluate electrograms during atrial fibrillation (AF), but none have been established to guide catheter ablation. This study compares electrogram properties recorded from multiple right (RA) and left atrial (LA) sites.

methodsMultisite LA/RA mapping (281 ± 176/239 ± 166 sites/patient) was performed in 42 patients (30 males, age 63 ± 9 years) undergoing first (n = 32) or redo-AF ablation (n = 10). All electrogram recordings were visually reviewed and artifactual signals were excluded leaving a total of 21 846 for analysis. Electrogram characteristics evaluated were cycle length (CL), amplitude, Shannon's entropy (ShEn), fractionation interval, dominant frequency, organizational index, and cycle length of most recurrent morphology (CL

resultsElectrogram characteristics were correlated to each other. All pairwise comparisons were significant (p < .001) except for dominant frequency and CL

conclusionMultiple techniques can be employed for electrogram analysis in AF. In this analysis of eight different electrogram characteristics, seven were poorly to moderately correlated and do not identify similar locations. Only some characteristics were predictive of ablation outcome. Further studies to consider electrogram properties, perhaps in combination, for categorizing and/or mapping AF are warranted.

Indexed as

Atrial AppendageAtrial FibrillationCatheter AblationAgedHeart AtriaHumansMaleMiddle Agedatrial fibrillationcycle lengthdominant frequencyelectrogramsmappingShannon's entropy

Identifiers

PMID38031313
PMCPMC12915899
OpenAlexW4389179153

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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.