Literature DB >> 31157388

Rapid improvement in left ventricular function after sinus rhythm restoration in patients with idiopathic cardiomyopathy and atrial fibrillation.

Björn Müller-Edenborn1,2, Jan Minners1, Jürgen Allgeier1,2, Thilo Burkhardt3, Heiko Lehrmann1,2, Philipp Ruile1, Sebastian Merz1, Martin Allgeier1, Franz-Josef Neumann1, Thomas Arentz1,2, Amir Jadidi1,2, Nikolaus Jander1.   

Abstract

AIMS: Sinus rhythm restoration (SRR) in patients with atrial fibrillation (AF) and heart failure may improve systolic function and impact on consecutive clinical management, but time course and potential predictors of response to SRR are uncertain. METHODS AND
RESULTS: We prospectively studied 50 consecutive patients who presented in heart failure with reduced ejection fraction (EF) and concomitant AF. After exclusion of valvular and coronary artery disease patients underwent electrical cardioversion. Serial echocardiography, cardiac magnetic resonance imaging (cMRI), and 24-h electrocardiograms were performed at baseline, and on Days 3 and 40 following SRR. Baseline left ventricular EF of the study population (76% male, age 69 ± 11 years) was 30 ± 7%. Sustained SRR (≥3 days) significantly improved EF (Day 3: 43 ± 7%, n = 46; Day 40: 53 ± 9%, n = 34; P < 0.001) as quantified by echocardiography. Comparable results were obtained using cMRI (baseline: 29 ± 8%; Day 3: 42 ± 9%). Three patients showed no response to SRR (EF improvement <15%). The percentage of patients meeting current criteria for implantable cardioverter-defibrillator (ICD) implantation for primary prevention dropped from 76% (n = 38) to 11% (n = 3) on Day 40 following SRR. No specific clinical or echocardiographic factor predicting improved EF after SRR could be identified.
CONCLUSION: The majority of patients presenting with non-ischaemic, non-valvular heart failure with reduced EF and concomitant AF show a significant and rapid improvement in EF following SRR. An attempt at SRR and reassessment of the need for ICD implantation after 40 days may be warranted in all such patients. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2019. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Atrial fibrillation; Cardiomyopathy; Echocardiography; Ejection fraction; Heart failure; Magnetic resonance imaging

Year:  2019        PMID: 31157388     DOI: 10.1093/europace/euz013

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  3 in total

1.  Life-Years Lost After Newly Diagnosed Atrial Fibrillation in Patients with Heart Failure.

Authors:  Nicklas Vinter; Pia Cordsen; Gregory Y H Lip; Emelia J Benjamin; Søren Paaske Johnsen; Lars Frost; Ludovic Trinquart
Journal:  Clin Epidemiol       Date:  2022-05-31       Impact factor: 5.814

2.  European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) expert consensus on risk assessment in cardiac arrhythmias: use the right tool for the right outcome, in the right population.

Authors:  Jens Cosedis Nielsen; Yenn-Jiang Lin; Marcio Jansen de Oliveira Figueiredo; Alireza Sepehri Shamloo; Alberto Alfie; Serge Boveda; Nikolaos Dagres; Dario Di Toro; Lee L Eckhardt; Kenneth Ellenbogen; Carina Hardy; Takanori Ikeda; Aparna Jaswal; Elizabeth Kaufman; Andrew Krahn; Kengo Kusano; Valentina Kutyifa; Han S Lim; Gregory Y H Lip; Santiago Nava-Townsend; Hui-Nam Pak; Gerardo Rodríguez Diez; William Sauer; Anil Saxena; Jesper Hastrup Svendsen; Diego Vanegas; Marmar Vaseghi; Arthur Wilde; T Jared Bunch; Alfred E Buxton; Gonzalo Calvimontes; Tze-Fan Chao; Lars Eckardt; Heidi Estner; Anne M Gillis; Rodrigo Isa; Josef Kautzner; Philippe Maury; Joshua D Moss; Gi-Byung Nam; Brian Olshansky; Luis Fernando Pava Molano; Mauricio Pimentel; Mukund Prabhu; Wendy S Tzou; Philipp Sommer; Janice Swampillai; Alejandro Vidal; Thomas Deneke; Gerhard Hindricks; Christophe Leclercq
Journal:  Europace       Date:  2020-08-01       Impact factor: 5.214

3.  Machine Learning Using a Single-Lead ECG to Identify Patients With Atrial Fibrillation-Induced Heart Failure.

Authors:  Giorgio Luongo; Felix Rees; Deborah Nairn; Massimo W Rivolta; Olaf Dössel; Roberto Sassi; Christoph Ahlgrim; Louisa Mayer; Franz-Josef Neumann; Thomas Arentz; Amir Jadidi; Axel Loewe; Björn Müller-Edenborn
Journal:  Front Cardiovasc Med       Date:  2022-02-28
  3 in total

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