Literature DB >> 31745834

Clinical Outcomes of Rate vs Rhythm Control for Atrial Fibrillation in Older People: A Systematic Review and Meta-Analysis.

Laurence Depoorter1, Liza Sels1, Mieke Deschodt2,3, Bastiaan Van Grootven4,5, Lorenz Van der Linden6,7, Jos Tournoy8,9.   

Abstract

BACKGROUND AND OBJECTIVES: Atrial fibrillation (AF) is highly prevalent in older adults and has been associated with increased morbidity and mortality. To reduce this AF-related morbidity in older adults, antiarrhythmic drugs (AADs) are regularly used for rhythm control, assuming that increasing time in sinus rhythm reduces AF-related morbidity. However, whether AADs can improve clinical outcomes in older adults remains unclear because of the increased risk for adverse drug events compared with rate control. The aim of this study was to determine the impact of rhythm control versus rate control on clinical outcomes in older adults with AF. DESIGN AND METHODS: We conducted a systematic review and meta-analysis targeting patients aged ≥65 years with AF and using drugs to control rate or rhythm. Articles that met the following criteria were included: enrolled older patients (sample mean ≥75 years) with AF, compared pharmacological rate versus rhythm control, and reported all-cause mortality, cardiovascular mortality, or ischemic stroke.
RESULTS: Five observational studies were included. In total, 86,926 patients with AF with a mean age ranging from 75 to 92 years were studied. No differences were found between rhythm and rate control for all-cause mortality (odds ratio [OR] 1.11; 95% confidence interval [CI] 0.78-1.59; I2 = 79.6%; n = 28,526; four studies) and cardiovascular mortality (OR 1.09; 95% CI 0.81-1.47; I2 = 0%; n = 2292; two studies). Rhythm control resulted in fewer strokes (OR 0.86; 95% CI 0.80-0.93; I2 = 0%; n = 59,496), although this was mainly determined by one study.
CONCLUSION: All collected data were observational, which precluded making strong recommendations. Furthermore, all CIs were wide, increasing the uncertainty of the observed effects. As such, evidence was insufficient to recommend rhythm or rate control as the first-line therapy for AF in older adults. As AF is particularly prevalent in older people, more randomized controlled trials are needed in this population.

Entities:  

Year:  2020        PMID: 31745834     DOI: 10.1007/s40266-019-00722-4

Source DB:  PubMed          Journal:  Drugs Aging        ISSN: 1170-229X            Impact factor:   3.923


  32 in total

1.  A comparison of rate control and rhythm control in patients with recurrent persistent atrial fibrillation.

Authors:  Isabelle C Van Gelder; Vincent E Hagens; Hans A Bosker; J Herre Kingma; Otto Kamp; Tsjerk Kingma; Salah A Said; Julius I Darmanata; Alphons J M Timmermans; Jan G P Tijssen; Harry J G M Crijns
Journal:  N Engl J Med       Date:  2002-12-05       Impact factor: 91.245

2.  Methodological index for non-randomized studies (minors): development and validation of a new instrument.

Authors:  Karem Slim; Emile Nini; Damien Forestier; Fabrice Kwiatkowski; Yves Panis; Jacques Chipponi
Journal:  ANZ J Surg       Date:  2003-09       Impact factor: 1.872

3.  2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines and the Heart Rhythm Society.

Authors:  Craig T January; L Samuel Wann; Joseph S Alpert; Hugh Calkins; Joaquin E Cigarroa; Joseph C Cleveland; Jamie B Conti; Patrick T Ellinor; Michael D Ezekowitz; Michael E Field; Katherine T Murray; Ralph L Sacco; William G Stevenson; Patrick J Tchou; Cynthia M Tracy; Clyde W Yancy
Journal:  Circulation       Date:  2014-03-28       Impact factor: 29.690

4.  Atrial fibrillation: an observational study with outpatients.

Authors:  Gastón Albina; Julián De Luca; Diego Conde; Alberto Giniger
Journal:  Pacing Clin Electrophysiol       Date:  2014-07-16       Impact factor: 1.976

5.  Choice and Outcomes of Rate Control versus Rhythm Control in Elderly Patients with Atrial Fibrillation: A Report from the REPOSI Study.

Authors:  Francesco Paciullo; Marco Proietti; Vanessa Bianconi; Alessandro Nobili; Matteo Pirro; Pier Mannuccio Mannucci; Gregory Y H Lip; Graziana Lupattelli
Journal:  Drugs Aging       Date:  2018-04       Impact factor: 3.923

Review 6.  Rate versus rhythm control in atrial fibrillation and clinical outcomes: updated systematic review and meta-analysis of randomized controlled trials.

Authors:  Daniel Caldeira; Cláudio David; Cristina Sampaio
Journal:  Arch Cardiovasc Dis       Date:  2012-01-21       Impact factor: 2.340

7.  Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study.

Authors:  A S Go; E M Hylek; K A Phillips; Y Chang; L E Henault; J V Selby; D E Singer
Journal:  JAMA       Date:  2001-05-09       Impact factor: 56.272

8.  Meta-analysis: antithrombotic therapy to prevent stroke in patients who have nonvalvular atrial fibrillation.

Authors:  Robert G Hart; Lesly A Pearce; Maria I Aguilar
Journal:  Ann Intern Med       Date:  2007-06-19       Impact factor: 25.391

9.  Rhythm Control Versus Rate Control and Clinical Outcomes in Patients With Atrial Fibrillation: Results From the ORBIT-AF Registry.

Authors:  Amit Noheria; Peter Shrader; Jonathan P Piccini; Gregg C Fonarow; Peter R Kowey; Kenneth W Mahaffey; Gerald Naccarelli; Peter A Noseworthy; James A Reiffel; Benjamin A Steinberg; Laine E Thomas; Eric D Peterson; Bernard J Gersh
Journal:  JACC Clin Electrophysiol       Date:  2015-11-26

Review 10.  The effects of rhythm control strategies versus rate control strategies for atrial fibrillation and atrial flutter: A systematic review with meta-analysis and Trial Sequential Analysis.

Authors:  Naqash J Sethi; Joshua Feinberg; Emil E Nielsen; Sanam Safi; Christian Gluud; Janus C Jakobsen
Journal:  PLoS One       Date:  2017-10-26       Impact factor: 3.240

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  1 in total

1.  Qualitative Evaluation of an Artificial Intelligence-Based Clinical Decision Support System to Guide Rhythm Management of Atrial Fibrillation: Survey Study.

Authors:  John Stacy; Rachel Kim; Christopher Barrett; Balaviknesh Sekar; Steven Simon; Farnoush Banaei-Kashani; Michael A Rosenberg
Journal:  JMIR Form Res       Date:  2022-08-11
  1 in total

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