Literature DB >> 24496537

Association of atrial tissue fibrosis identified by delayed enhancement MRI and atrial fibrillation catheter ablation: the DECAAF study.

Nassir F Marrouche1, David Wilber2, Gerhard Hindricks3, Pierre Jais4, Nazem Akoum1, Francis Marchlinski5, Eugene Kholmovski1, Nathan Burgon1, Nan Hu1, Lluis Mont6, Thomas Deneke7, Mattias Duytschaever8, Thomas Neumann9, Moussa Mansour10, Christian Mahnkopf11, Bengt Herweg12, Emile Daoud13, Erik Wissner14, Paul Bansmann15, Johannes Brachmann11.   

Abstract

IMPORTANCE: Left atrial fibrosis is prominent in patients with atrial fibrillation (AF). Extensive atrial tissue fibrosis identified by delayed enhancement magnetic resonance imaging (MRI) has been associated with poor outcomes of AF catheter ablation.
OBJECTIVE: To characterize the feasibility of atrial tissue fibrosis estimation by delayed enhancement MRI and its association with subsequent AF ablation outcome. DESIGN, SETTING, AND PARTICIPANTS: Multicenter, prospective, observational cohort study of patients diagnosed with paroxysmal and persistent AF (undergoing their first catheter ablation) conducted between August 2010 and August 2011 at 15 centers in the United States, Europe, and Australia. Delayed enhancement MRI images were obtained up to 30 days before ablation. MAIN OUTCOMES AND MEASURES: Fibrosis quantification was performed at a core laboratory blinded to the participating center, ablation approach, and procedure outcome. Fibrosis blinded to the treating physicians was categorized as stage 1 (<10% of the atrial wall), 2 (≥10%-<20%), 3 (≥20%-<30%), and 4 (≥30%). Patients were followed up for recurrent arrhythmia per current guidelines using electrocardiography or ambulatory monitor recording and results were analyzed at a core laboratory. Cumulative incidence of recurrence was estimated by stage at days 325 and 475 after a 90-day blanking period (standard time allowed for arrhythmias related to ablation-induced inflammation to subside) and the risk of recurrence was estimated (adjusting for 10 demographic and clinical covariates).
RESULTS: Atrial tissue fibrosis estimation by delayed enhancement MRI was successfully quantified in 272 of 329 enrolled patients (57 patients [17%] were excluded due to poor MRI quality). There were 260 patients who were followed up after the blanking period (mean [SD] age of 59.1 [10.7] years, 31.5% female, 64.6% with paroxysmal AF). For recurrent arrhythmia, the unadjusted overall hazard ratio per 1% increase in left atrial fibrosis was 1.06 (95% CI, 1.03-1.08; P < .001). Estimated unadjusted cumulative incidence of recurrent arrhythmia by day 325 for stage 1 fibrosis was 15.3% (95% CI, 7.6%-29.6%); stage 2, 32.6% (95% CI, 24.3%-42.9%); stage 3, 45.9% (95% CI, 35.5%-57.5%); and stage 4, 51.1% (95% CI, 32.8%-72.2%) and by day 475 was 15.3% (95% CI, 7.6%-29.6%), 35.8% (95% CI, 26.2%-47.6%), 45.9% (95% CI, 35.6%-57.5%), and 69.4% (95% CI, 48.6%-87.7%), respectively. Similar results were obtained after covariate adjustment. The addition of fibrosis to a recurrence prediction model that includes traditional clinical covariates resulted in an improved predictive accuracy with the C statistic increasing from 0.65 to 0.69 (risk difference of 0.05; 95% CI, 0.01-0.09). CONCLUSIONS AND RELEVANCE: Among patients with AF undergoing catheter ablation, atrial tissue fibrosis estimated by delayed enhancement MRI was independently associated with likelihood of recurrent arrhythmia. The clinical implications of this association warrant further investigation.

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Year:  2014        PMID: 24496537     DOI: 10.1001/jama.2014.3

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  331 in total

1.  Structural contributions to fibrillatory rotors in a patient-derived computational model of the atria.

Authors:  Matthew J Gonzales; Kevin P Vincent; Wouter-Jan Rappel; Sanjiv M Narayan; Andrew D McCulloch
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

Review 2.  Molecular Basis of Atrial Fibrillation Pathophysiology and Therapy: A Translational Perspective.

Authors:  Stanley Nattel; Jordi Heijman; Liping Zhou; Dobromir Dobrev
Journal:  Circ Res       Date:  2020-06-18       Impact factor: 17.367

Review 3.  Epidemiology of Atrial Fibrillation in the 21st Century: Novel Methods and New Insights.

Authors:  Jelena Kornej; Christin S Börschel; Emelia J Benjamin; Renate B Schnabel
Journal:  Circ Res       Date:  2020-06-18       Impact factor: 17.367

4.  Secular trends in success rate of catheter ablation for atrial fibrillation: The SMASH-AF cohort.

Authors:  Alexander C Perino; George C Leef; Andrew Cluckey; Fahd N Yunus; Mariam Askari; Paul A Heidenreich; Sanjiv M Narayan; Paul J Wang; Mintu P Turakhia
Journal:  Am Heart J       Date:  2018-10-29       Impact factor: 4.749

Review 5.  What Is the Appropriate Lesion Set for Ablation in Patients with Persistent Atrial Fibrillation?

Authors:  Jorge Romero; Carola Gianni; Andrea Natale; Luigi Di Biase
Journal:  Curr Treat Options Cardiovasc Med       Date:  2017-05

6.  Class I Histone Deacetylase Inhibition for the Treatment of Sustained Atrial Fibrillation.

Authors:  Mitsuru Seki; Ryan LaCanna; Jeffery C Powers; Christine Vrakas; Fang Liu; Remus Berretta; Geena Chacko; John Holten; Pooja Jadiya; Tao Wang; Jeffery S Arkles; Joshua M Copper; Steven R Houser; Jianhe Huang; Vickas V Patel; Fabio A Recchia
Journal:  J Pharmacol Exp Ther       Date:  2016-06-27       Impact factor: 4.030

Review 7.  Cardiac magnetic resonance for prediction of arrhythmogenic areas.

Authors:  Esra Gucuk Ipek; Saman Nazarian
Journal:  Trends Cardiovasc Med       Date:  2015-03-03       Impact factor: 6.677

8.  Human Atrial Fibrillation Drivers Resolved With Integrated Functional and Structural Imaging to Benefit Clinical Mapping.

Authors:  Brian J Hansen; Jichao Zhao; Ning Li; Alexander Zolotarev; Stanislav Zakharkin; Yufeng Wang; Josh Atwal; Anuradha Kalyanasundaram; Suhaib H Abudulwahed; Katelynn M Helfrich; Anna Bratasz; Kimerly A Powell; Bryan Whitson; Peter J Mohler; Paul M L Janssen; Orlando P Simonetti; John D Hummel; Vadim V Fedorov
Journal:  JACC Clin Electrophysiol       Date:  2018-11-01

Review 9.  Clinical scores used for the prediction of negative events in patients undergoing catheter ablation for atrial fibrillation.

Authors:  Falco Kosich; Katja Schumacher; Tatjana Potpara; Gregory Y Lip; Gerhard Hindricks; Jelena Kornej
Journal:  Clin Cardiol       Date:  2019-01-14       Impact factor: 2.882

10.  Is Otsu thresholding the answer to reproducible quantification of left atrial scar from late gadolinium-enhancement MRI?

Authors:  Suvai Gunasekaran; Daniel Kim
Journal:  J Cardiovasc Electrophysiol       Date:  2020-09-21
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