Evidence map›Paper›PMID 36932716›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2023

Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrograms.

Prasanth Ganesan, Brototo Deb, Ruibin Feng, Miguel Rodrigo, Samuel Ruiperez-Campillo, Albert J Rogers, Paul Clopton, Paul J Wang, Stef Zeemering, Ulrich Schotten and 2 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02997254 (COMparison of Physiological Algorithms for Real-time Evaluation of Atrial Fibrillation), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.2field-weighted citation impact, top 5% 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.

NCT02997254 recruitingnot on this map

COMparison of Physiological Algorithms for Real-time Evaluation of Atrial Fibrillation

TypeobservationalSponsorStanford UniversityRan2016 to 2027Enrolled1,000ConditionsAtrial Fibrillation, Abnormal Heart Rhythms
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Spatial Autocorrelation Dimension (Arrhythmia & electrophysiology review · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Spatially Conserved Spiral Wave Activity During Human Atrial Fibrillation.Circulation. Arrhythmia and electrophysiology · 2024
    Article
  6. Article
  7. Article
  8. 25 years of basic and translational science in EP Europace: novel insights into arrhythmia mechanisms and therapeutic strategies.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Review
  9. The digital journey: 25 years of digital development in electrophysiology from an Europace perspective.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Review
  10. Detailed analysis of tachycardia cycle length aids diagnosis of the mechanism and location of atrial tachycardias.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  11. Article
  12. Review
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

12 authors at 4 institutions in 3 countries.

Prasanth GanesanDivision of Cardiovascular Medicine, Stanford Cardiovascular Institute, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA.ORCID 0000-0002-1885-0690
Brototo DebDivision of Cardiovascular Medicine, Stanford Cardiovascular Institute, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA.ORCID 0000-0001-8800-0002
Ruibin FengDivision of Cardiovascular Medicine, Stanford Cardiovascular Institute, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA.ORCID 0000-0002-0777-8195
Miguel RodrigoElectronic Engineering Department, Universitat de Valencia, Av. de Blasco Ibáñez, 13, 46010 València, Spain.ORCID 0000-0002-6092-6847
Samuel Ruiperez-CampilloElectronic Engineering Department, Universitat de Valencia, Av. de Blasco Ibáñez, 13, 46010 València, Spain.ORCID 0000-0002-5425-4175
Albert J RogersDivision of Cardiovascular Medicine, Stanford Cardiovascular Institute, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA.ORCID 0000-0001-6585-534X
Paul CloptonDivision of Cardiovascular Medicine, Stanford Cardiovascular Institute, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA.ORCID 0000-0002-0642-0861
Paul J WangDivision of Cardiovascular Medicine, Stanford Cardiovascular Institute, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA.ORCID 0000-0002-5467-5877
Stef ZeemeringDepartment of Physiology, Maastricht University, 6211 LK Maastricht, 616 6200, Netherlands.ORCID 0000-0003-3738-7328
Ulrich SchottenDepartment of Physiology, Maastricht University, 6211 LK Maastricht, 616 6200, Netherlands.ORCID 0000-0003-1532-3315
Wouter-Jan RappelDepartment of Physics, University of California, 9500 Gilman Dr, La Jolla, CA 92093, USA.ORCID 0000-0003-3833-7197
Sanjiv M NarayanDivision of Cardiovascular Medicine, Stanford Cardiovascular Institute, Stanford University, 453 Quarry Road, Palo Alto, CA 94304, USA.ORCID 0000-0001-7552-5053
Cardiovascular Institute of the South · USMaastricht University · NLUniversitat de València · ESUniversity of California San Diego · US

Funding

The Dynamics of Human Atrial FibrillationR01HL083359 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sanjiv M Narayan · 2008 to 2026
$7.9M
Machine Learning in Atrial FibrillationR01HL149134 · NHLBI · STANFORD UNIVERSITY · PI NARAYAN, SANJIV M · 2020 to 2024
$3.8M
Electrical Mapping Signatures of Adverse Structural and Functional Remodeling in Ventricular ArrhythmiaK23HL166977 · NHLBI · STANFORD UNIVERSITY · PI Albert Joseph Rogers · 2023 to 2026
$680k
NHLBI NIH HHS K23 HL166977NHLBI NIH HHS L30 HL143631NHLBI NIH HHS R01 HL083359NHLBI NIH HHS R01 HL149134NIH HHS HL149134
6 · The paper itself

Abstract

aimsThere is a clinical spectrum for atrial tachyarrhythmias wherein most patients with atrial tachycardia (AT) and some with atrial fibrillation (AF) respond to ablation, while others do not. It is undefined if this clinical spectrum has pathophysiological signatures. This study aims to test the hypothesis that the size of spatial regions showing repetitive synchronized electrogram (EGM) shapes over time reveals a spectrum from AT, to AF patients who respond acutely to ablation, to AF patients without acute response. METHODS AND

resultsWe studied n = 160 patients (35% women, 65.0 ± 10.4 years) of whom (i) n = 75 had AF terminated by ablation propensity matched to (ii) n = 75 without AF termination and (iii) n = 10 with AT. All patients had mapping by 64-pole baskets to identify areas of repetitive activity (REACT) to correlate unipolar EGMs in shape over time. Synchronized regions (REACT) were largest in AT, smaller in AF termination, and smallest in non-termination cohorts (0.63 ± 0.15, 0.37 ± 0.22, and 0.22 ± 0.18, P < 0.001). Area under the curve for predicting AF termination in hold-out cohorts was 0.72 ± 0.03. Simulations showed that lower REACT represented greater variability in clinical EGM timing and shape. Unsupervised machine learning of REACT and extensive (50) clinical variables yielded four clusters of increasing risk for AF termination (P < 0.01, χ2), which were more predictive than clinical profiles alone (P < 0.001).

conclusionThe area of synchronized EGMs within the atrium reveals a spectrum of clinical response in atrial tachyarrhythmias. These fundamental EGM properties, which do not reflect any predetermined mechanism or mapping technology, predict outcome and offer a platform to compare mapping tools and mechanisms between AF patient groups.

Indexed as

Atrial FibrillationCatheter AblationFemaleHeart AtriaHumansMaleTachycardiaArrhythmia mappingAtrial fibrillationAtrial tachycardiaElectrogram signal processingElectrophysiological studyMachine learning

Identifiers

PMID36932716
PMCPMC10227659
OpenAlexW4327811420

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.