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New ideas about atrial fibrillation 50 years on

Author

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  • Stanley Nattel

    (Montreal Heart Institute Research Center, Montreal Heart Institute and University of Montreal)

Abstract

Atrial fibrillation is a condition in which control of heart rhythm is taken away from the normal sinus node pacemaker by rapid activity in different areas within the upper chambers (atria) of the heart. This results in rapid and irregular atrial activity and, instead of contracting, the atria only quiver. It is the most common cardiac rhythm disturbance and contributes substantially to cardiac morbidity and mortality. For over 50 years, the prevailing model of atrial fibrillation involved multiple simultaneous re-entrant waves, but in light of new discoveries this hypothesis is now undergoing re-evaluation.

Suggested Citation

  • Stanley Nattel, 2002. "New ideas about atrial fibrillation 50 years on," Nature, Nature, vol. 415(6868), pages 219-226, January.
  • Handle: RePEc:nat:nature:v:415:y:2002:i:6868:d:10.1038_415219a
    DOI: 10.1038/415219a
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    Cited by:

    1. Feng Ou & Nini Rao & Xudong Jiang & Mengyao Qian & Wei Feng & Lixue Yin & Xu Chen, 2013. "Analysis on Differential Gene Expression Data for Prediction of New Biological Features in Permanent Atrial Fibrillation," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-8, October.
    2. Eberhard P Scholz & Paola Carrillo-Bustamante & Fathima Fischer & Mathias Wilhelms & Edgar Zitron & Olaf Dössel & Hugo A Katus & Gunnar Seemann, 2013. "Rotor Termination Is Critically Dependent on Kinetic Properties of IKur Inhibitors in an In Silico Model of Chronic Atrial Fibrillation," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-11, December.
    3. Michael A Colman, 2019. "Arrhythmia mechanisms and spontaneous calcium release: Bi-directional coupling between re-entrant and focal excitation," PLOS Computational Biology, Public Library of Science, vol. 15(8), pages 1-34, August.
    4. Daniel M Lombardo & Flavio H Fenton & Sanjiv M Narayan & Wouter-Jan Rappel, 2016. "Comparison of Detailed and Simplified Models of Human Atrial Myocytes to Recapitulate Patient Specific Properties," PLOS Computational Biology, Public Library of Science, vol. 12(8), pages 1-15, August.
    5. Yan-yan Li & Chuan-wei Zhou & Jian Xu & Yun Qian & Bei Wang, 2012. "CYP11B2 T-344C Gene Polymorphism and Atrial Fibrillation: A Meta-Analysis of 2,758 Subjects," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    6. Cui, Xingran & Chang, Hung-Chi & Lin, Lian-Yu & Yu, Chih-Chieh & Hsieh, Wan-Hsin & Li, Weihui & Peng, Chung-Kang & Lin, Jiunn-Lee & Lo, Men-Tzung, 2019. "Prediction of atrial fibrillation recurrence before catheter ablation using an adaptive nonlinear and non-stationary surface ECG analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 9-19.
    7. Narin, Ali & Isler, Yalcin & Ozer, Mahmut & Perc, Matjaž, 2018. "Early prediction of paroxysmal atrial fibrillation based on short-term heart rate variability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 56-65.

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