Cited by 10Atrial Fibrillation Management and OutcomesECG Monitoring and AnalysisCardiac electrophysiology and arrhythmias

The DOI matches its Crossref record; the references it cites are not checked yet.

Magnetocardiography detects left atrial dysfunction in paroxysmal atrial fibrillation

Abstract

Background Magnetocardiography (MCG) is a non-invasive technique and to characterize the magnetic field, a pseudo-current conversion was used. The role of MCG in detecting left atrial (LA) dysfunction in patients with paroxysmal atrial fibrillation (PAF) is unknown. Objective The aim of this study was to evaluate LA function using MCG in patients with PAF and healthy subjects, to identify possible indices to diagnose PAF. Methods We enrolled a total of 70 subjects including 26 healthy volunteers (group 1) and 22 marathon runners (group 2) who did not exhibit any cardiac abnormalities, and 22 patients with PAF (group 3) which was documented by electrocardiography (ECG). Spatiotemporal activation graph (STAG) in base-apex and left-right direction was reconstructed. The maximum value of LA pseudo-current under rest and peak exercise were measured between the end of the P wave and beginning of the Q wave. Results LA pseudo-current increase at peak exercise in PAF patients was significantly lower than in healthy volunteers and marathon runners (0.4±0.3 pT in group 3 vs. 0.8±0.3 pT in group 1 vs. 1.1±0.5 pT in group 2, p Conclusions MCG can provide important non-invasive information for detecting LA dysfunction in PAF patients. Therefore, MCG may help in differentiating PAF patients from healthy subjects.

Overview

Integrity signals

Registry

Crossref · 10.3233/ch-180528

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • MCG is expected to be more sensitive and especially helpful for early diagnosis of numerous heart diseases and monitoring fetal heart health.

    “Thus, MCG is expected to be more sensitive and can be especially helpful for early diagnosis of numerous heart diseases (2–6) and monitoring the fetal heart health (7–9).”

    From A movable unshielded magnetocardiography system (2023) · cites this paper as [6]

Citations

The citation lists haven’t been fetched yet

References 28 · Cited by 10

Research works printed but not linked: 28

  1. Seet, 2011, Prolonged rhythm monitoring for the detection of occult paroxysmal atrial fibrillation in ischemic stroke of unknown cause, Circulation, 124, 477, 10.1161/CIRCULATIONAHA.111.029801 · DOI
  2. Lévy, 1995, Paroxysmal atrial fibrillation: A need for classification, J Cardiovasc Electro-physiol, 6, 69, 10.1111/j.1540-8167.1995.tb00758.x · DOI
  3. Rizos, 2011, Paroxysmal atrial fibrillation is more prevalent than persistent atrial fibrillation in acute stroke and transient ischemic attack patients, Cerebrovasc Dis, 32, 276, 10.1159/000330348 · DOI
  4. Fuster, 2006, ACC/AHA/ESC 2006 Guidelines for the Management of Patients with Atrial Fibrillation: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the European Society of Cardiology Committee for Practice Guidelines (Writing Committee to Revise the 2001 Guidelines for the Management of Patients With Atrial Fibrillation): Developed in collaboration with the European Heart Rhythm Association and the Heart Rhythm Society, Circulation, 114, e257
  5. Sanna, 2014, Cryptogenic stroke and underlying atrial fibrillation, N Engl J Med, 370, 2478, 10.1056/NEJMoa1313600 · DOI · Paper page
  6. Thijssen, 2001, Structural remodelling during chronic atrial fibrillation: Act of programmed cell survival, Cardiovasc Res, 52, 14, 10.1016/S0008-6363(01)00367-4 · DOI
  7. Taguchi, 2010, Significant impairment of left atrial function in patients with cardioembolic stroke caused by paroxysmal atrial fibrillation, Intern Med, 49, 1727, 10.2169/internalmedicine.49.3580 · DOI
  8. Howlett, 2015, Diagnosing Paroxysmal Atrial Fibrillation: Are Biomarkers the Solution to This Elusive Arrhythmia?, Biomed Res Int, 2015, 910267, 10.1155/2015/910267 · DOI
  9. Koskinen, 2005, Measurement and reproducibility of magnetocardiographic filtered atrial signal in patients with paroxysmal lone atrial fibrillation and in healthy subjects, J Electrocardiol, 38, 330, 10.1016/j.jelectrocard.2005.03.012 · DOI
  10. Jurkko, 2009, Non-invasive detection of conduction pathways to left atrium using magnetocardiography: Validation by intra-cardiac electroanatomic mapping, Europace, 11, 169, 10.1093/europace/eun335 · DOI
  11. Jurkko, 2010, Interatrial conduction in patients with paroxysmal atrial fibrillation and in healthy subjects, Int J Cardiol, 145, 455, 10.1016/j.ijcard.2009.05.064 · DOI
  12. Lee, 2009, A high-sensitivity magnetocardiography system with a divided gradiometer array inside a low boil-off Dewar, Supercond Sci Technol, 22, 114003, 10.1088/0953-2048/22/11/114003 · DOI
  13. Lee, 1998, Double relaxation oscillation SQUID with high flux-to-voltage transfer and its application to a biomagnetic multichannel system, J Korean Phys Soc, 32, 600
  14. Kim, 2004, Optimal sensor distribution for measuring the tangential field components in MCG, Neurol Clin Neurophysiol, 2004, 60
  15. Numminen, 1995, Transformation of multichannel magnetocardiographic signals to standard grid form, IEEE Trans Biomed Eng, 42, 72, 10.1109/10.362916 · DOI
  16. Gibbons, 2002, ACC/AHA 2002 Guideline Update for Exercise Testing: Summary Article: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Update the 1997 Exercise Testing Guidelines), J Am Coll Cardiol, 40, 1531, 10.1016/S0735-1097(02)02164-2 · DOI
  17. Alhadramy, 2010, Saggur M. Prevalence and predictors of paroxysmal atrial fibrillation on Holter monitor in patients with stroke or transient ischemic attack, Stroke, 41, 2596, 10.1161/STROKEAHA.109.570382 · DOI
  18. Seet, 2011, Prolonged rhythm monitoring for the detection of occult paroxysmal atrial fibrillation in ischemic stroke of unknown cause, Circulation, 124, 477, 10.1161/CIRCULATIONAHA.111.029801 · DOI
  19. Hoit, 2014, Left atrial size and function, J Am Coll Cardiol, 63, 493, 10.1016/j.jacc.2013.10.055 · DOI
  20. Mori, 2011, Impact of reduced left atrial functions on diagnosis of paroxysmal atrial fibrillation: Results from analysis of time-left atrial volume curve determined by two-dimensional speckle tracking, J Cardiol, 57, 89, 10.1016/j.jjcc.2010.08.006 · DOI
  21. Yoon, 2015, Echocardiographic predictors of progression to persistent or permanent atrial fibrillation in patients with paroxysmal atrial fibrillation (E6P Study), J Am Soc Echocardiogr, 28, 709, 10.1016/j.echo.2015.01.017 · DOI
  22. Tao, 2017, Quantifying left atrial structure and function using single-plane tissue-tracking cardiac magnetic resonance, Magn Reson Imaging, 42, 130, 10.1016/j.mri.2017.06.003 · DOI
  23. Mori, 1988, Present status of clinical magnetocardiography, CV World Rep, 1, 78
  24. Nomura, 1994, Noninvasive localisation of accessory pathway by magnetocardiographic imaging, Clin Cardiol, 17, 239, 10.1002/clc.4960170504 · DOI
  25. Yoshida, 2015, Ability of magnetocardiography to detect regional dominant frequencies of atrial fibrillation, J Arrhythm, 31, 345, 10.1016/j.joa.2015.05.003 · DOI
  26. Akar, 2002, Effect of electrical and structural remodeling on spatiotemporal organization in acute and persistent atrial fibrillation, J Cardiovasc Electrophysiol, 13, 1027, 10.1046/j.1540-8167.2002.01027.x · DOI
  27. Jacquemet, 2009, Genesis of complex fractionated atrial electrograms in zones of slow conduction: A computer model of microfibrosis, Heart Rhyth, 6, 803, 10.1016/j.hrthm.2009.02.026 · DOI
  28. Ashihara, 2012, The role of fibroblasts in complex fractionated electrograms during persistent/permanent atrial fibrillation: Implications for electrogram-based catheter ablation, Circ Res, 110, 275, 10.1161/CIRCRESAHA.111.255026 · DOI

Metadata

Authors
Her, A.-Y., Shin, E.-S., Zhou, Q., Wierzbinski, J., Vidal-Lopez, S., Saleh, A., Kim, Y. H., Garg, S., Jung, F., & Brachmann, J.
Affiliations
  • Kangwon National University (KR)
  • Ulsan University Hospital (KR)
  • Klinikum Coburg (DE)
  • Asklepios Klinikum Harburg (DE)
  • East Lancashire Hospitals NHS Trust (GB)
  • Saarland University (DE)
Corresponding author
Shin, Eun-Seok
Venue
Clinical Hemorheology and Microcirculation
Published
2019-09-27
Volume
72
Issue
4
Pages
353-363
ISSN
  • 1386-0291 (ISSN-L)
  • 1875-8622
OpenAlex
W2934230824
Cited by
10
References
28
Citations by year
2025: 4 · 2024: 2 · 2023: 3 · 2021: 1
FWCI
0.18
Type
journal article
Language
en
Open access
closed
Locations
  • Clinical Hemorheology and Microcirculation (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
Keywords
magnetocardiography, paroxysmal atrial fibrillation, left atrial dysfunction, P wave, non-invasive diagnosis, marathon runners
MeSH terms
Atrial Fibrillation, Female, Humans, Male, Middle Aged, Prospective Studies, Atrial Function, Left, Magnetocardiography

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review