Literature DB >> 33351042

Effect of Digoxin vs Bisoprolol for Heart Rate Control in Atrial Fibrillation on Patient-Reported Quality of Life: The RATE-AF Randomized Clinical Trial.

Dipak Kotecha1,2,3, Karina V Bunting1,2, Simrat K Gill1,2, Samir Mehta4, Mary Stanbury5, Jacqueline C Jones5, Sandra Haynes5, Melanie J Calvert3,6,7, Jonathan J Deeks4,6, Richard P Steeds1,2, Victoria Y Strauss8, Kazem Rahimi9, A John Camm10, Michael Griffith1,2, Gregory Y H Lip11,12, Jonathan N Townend1,2, Paulus Kirchhof1,13,14.   

Abstract

Importance: There is little evidence to support selection of heart rate control therapy in patients with permanent atrial fibrillation, in particular those with coexisting heart failure. Objective: To compare low-dose digoxin with bisoprolol (a β-blocker). Design, Setting, and Participants: Randomized, open-label, blinded end-point clinical trial including 160 patients aged 60 years or older with permanent atrial fibrillation (defined as no plan to restore sinus rhythm) and dyspnea classified as New York Heart Association class II or higher. Patients were recruited from 3 hospitals and primary care practices in England from 2016 through 2018; last follow-up occurred in October 2019. Interventions: Digoxin (n = 80; dose range, 62.5-250 μg/d; mean dose, 161 μg/d) or bisoprolol (n = 80; dose range, 1.25-15 mg/d; mean dose, 3.2 mg/d). Main Outcomes and Measures: The primary end point was patient-reported quality of life using the 36-Item Short Form Health Survey physical component summary score (SF-36 PCS) at 6 months (higher scores are better; range, 0-100), with a minimal clinically important difference of 0.5 SD. There were 17 secondary end points (including resting heart rate, modified European Heart Rhythm Association [EHRA] symptom classification, and N-terminal pro-brain natriuretic peptide [NT-proBNP] level) at 6 months, 20 end points at 12 months, and adverse event (AE) reporting.
Results: Among 160 patients (mean age, 76 [SD, 8] years; 74 [46%] women; mean baseline heart rate, 100/min [SD, 18/min]), 145 (91%) completed the trial and 150 (94%) were included in the analysis for the primary outcome. There was no significant difference in the primary outcome of normalized SF-36 PCS at 6 months (mean, 31.9 [SD, 11.7] for digoxin vs 29.7 [11.4] for bisoprolol; adjusted mean difference, 1.4 [95% CI, -1.1 to 3.8]; P = .28). Of the 17 secondary outcomes at 6 months, there were no significant between-group differences for 16 outcomes, including resting heart rate (a mean of 76.9/min [SD, 12.1/min] with digoxin vs a mean of 74.8/min [SD, 11.6/min] with bisoprolol; difference, 1.5/min [95% CI, -2.0 to 5.1/min]; P = .40). The modified EHRA class was significantly different between groups at 6 months; 53% of patients in the digoxin group reported a 2-class improvement vs 9% of patients in the bisoprolol group (adjusted odds ratio, 10.3 [95% CI, 4.0 to 26.6]; P < .001). At 12 months, 8 of 20 outcomes were significantly different (all favoring digoxin), with a median NT-proBNP level of 960 pg/mL (interquartile range, 626 to 1531 pg/mL) in the digoxin group vs 1250 pg/mL (interquartile range, 847 to 1890 pg/mL) in the bisoprolol group (ratio of geometric means, 0.77 [95% CI, 0.64 to 0.92]; P = .005). Adverse events were less common with digoxin; 20 patients (25%) in the digoxin group had at least 1 AE vs 51 patients (64%) in the bisoprolol group (P < .001). There were 29 treatment-related AEs and 16 serious AEs in the digoxin group vs 142 and 37, respectively, in the bisoprolol group. Conclusions and Relevance: Among patients with permanent atrial fibrillation and symptoms of heart failure treated with low-dose digoxin or bisoprolol, there was no statistically significant difference in quality of life at 6 months. These findings support potentially basing decisions about treatment on other end points. Trial Registration: ClinicalTrials.gov Identifier: NCT02391337 and clinicaltrialsregister.eu Identifier: 2015-005043-13.

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Year:  2020        PMID: 33351042      PMCID: PMC7756234          DOI: 10.1001/jama.2020.23138

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


  33 in total

1.  Lenient versus strict rate control in patients with atrial fibrillation.

Authors:  Isabelle C Van Gelder; Hessel F Groenveld; Harry J G M Crijns; Ype S Tuininga; Jan G P Tijssen; A Marco Alings; Hans L Hillege; Johanna A Bergsma-Kadijk; Jan H Cornel; Otto Kamp; Raymond Tukkie; Hans A Bosker; Dirk J Van Veldhuisen; Maarten P Van den Berg
Journal:  N Engl J Med       Date:  2010-03-15       Impact factor: 91.245

2.  Clinically important changes in short form 36 health survey scales for use in rheumatoid arthritis clinical trials: the impact of low responsiveness.

Authors:  Michael M Ward; Lori C Guthrie; Maria I Alba
Journal:  Arthritis Care Res (Hoboken)       Date:  2014-12       Impact factor: 4.794

3.  Efficacy of β blockers in patients with heart failure plus atrial fibrillation: an individual-patient data meta-analysis.

Authors:  Dipak Kotecha; Jane Holmes; Henry Krum; Douglas G Altman; Luis Manzano; John G F Cleland; Gregory Y H Lip; Andrew J S Coats; Bert Andersson; Paulus Kirchhof; Thomas G von Lueder; Hans Wedel; Giuseppe Rosano; Marcelo C Shibata; Alan Rigby; Marcus D Flather
Journal:  Lancet       Date:  2014-09-02       Impact factor: 79.321

Review 4.  Heart Failure With Preserved Ejection Fraction and Atrial Fibrillation: Vicious Twins.

Authors:  Dipak Kotecha; Carolyn S P Lam; Dirk J Van Veldhuisen; Isabelle C Van Gelder; Adriaan A Voors; Michiel Rienstra
Journal:  J Am Coll Cardiol       Date:  2016-11-15       Impact factor: 24.094

Review 5.  Heart Rate and Rhythm and the Benefit of Beta-Blockers in Patients With Heart Failure.

Authors:  Dipak Kotecha; Marcus D Flather; Douglas G Altman; Jane Holmes; Giuseppe Rosano; John Wikstrand; Milton Packer; Andrew J S Coats; Luis Manzano; Michael Böhm; Dirk J van Veldhuisen; Bert Andersson; Hans Wedel; Thomas G von Lueder; Alan S Rigby; Åke Hjalmarson; John Kjekshus; John G F Cleland
Journal:  J Am Coll Cardiol       Date:  2017-04-30       Impact factor: 24.094

Review 6.  Patient-Reported Outcomes for Quality of Life Assessment in Atrial Fibrillation: A Systematic Review of Measurement Properties.

Authors:  Dipak Kotecha; Amar Ahmed; Melanie Calvert; Mauro Lencioni; Caroline B Terwee; Deirdre A Lane
Journal:  PLoS One       Date:  2016-11-01       Impact factor: 3.240

7.  Temporal Trends in Incidence, Prevalence, and Mortality of Atrial Fibrillation in Primary Care.

Authors:  Deirdre A Lane; Flemming Skjøth; Gregory Y H Lip; Torben B Larsen; Dipak Kotecha
Journal:  J Am Heart Assoc       Date:  2017-04-28       Impact factor: 5.501

Review 8.  European Society of Cardiology smartphone and tablet applications for patients with atrial fibrillation and their health care providers.

Authors:  Dipak Kotecha; Winnie W L Chua; Larissa Fabritz; Jeroen Hendriks; Barbara Casadei; Ulrich Schotten; Panos Vardas; Hein Heidbuchel; Veronica Dean; Paulus Kirchhof
Journal:  Europace       Date:  2018-02-01       Impact factor: 5.214

Review 9.  Atrial fibrillation and heart failure due to reduced versus preserved ejection fraction: A systematic review and meta-analysis of death and adverse outcomes.

Authors:  Dipak Kotecha; Rajiv Chudasama; Deirdre A Lane; Paulus Kirchhof; Gregory Y H Lip
Journal:  Int J Cardiol       Date:  2015-10-28       Impact factor: 4.164

Review 10.  How is the minimal clinically important difference established in health-related quality of life instruments? Review of anchors and methods.

Authors:  Yosra Mouelhi; Elisabeth Jouve; Christel Castelli; Stéphanie Gentile
Journal:  Health Qual Life Outcomes       Date:  2020-05-12       Impact factor: 3.186

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  16 in total

Review 1.  Racial, ethnic, and sex disparities in atrial fibrillation management: rate and rhythm control.

Authors:  Sofia E Gomez; Muhammad Fazal; Julio C Nunes; Shayena Shah; Alexander C Perino; Sanjiv M Narayan; Kamala P Tamirisa; Janet K Han; Fatima Rodriguez; Tina Baykaner
Journal:  J Interv Card Electrophysiol       Date:  2022-10-13       Impact factor: 1.759

2.  Chronic Digoxin Toxicity Leading to Institutionalization of an Elderly Woman.

Authors:  Kimberley Nix; Luiza Radu; Jason Zou; Meghan E O Vlasschaert
Journal:  Can J Hosp Pharm       Date:  2022-04-04

3.  Application of Patient-Reported Outcome Measurements in Clinical Trials in China.

Authors:  Hui Zhou; Mi Yao; Xiaodan Gu; Mingrui Liu; Ruifeng Zeng; Qin Li; Tingjia Chen; Wen He; Xiao Chen; Gang Yuan
Journal:  JAMA Netw Open       Date:  2022-05-02

4.  Transforming clinical research by involving and empowering patients- the RATE-AF randomized trial.

Authors:  Karina V Bunting; Mary Stanbury; Otilia Tica; Dipak Kotecha
Journal:  Eur Heart J       Date:  2021-07-01       Impact factor: 29.983

5.  Association Between β-Blockers and Outcomes in Heart Failure With Preserved Ejection Fraction: Current Insights From the SwedeHF Registry.

Authors:  Markus Meyer; Jeanne Du Fay Lavallaz; Lina Benson; Gianluigi Savarese; Ulf Dahlström; Lars H Lund
Journal:  J Card Fail       Date:  2021-05-08       Impact factor: 5.712

Review 6.  Rate control strategies for atrial fibrillation.

Authors:  Muath Alobaida; Abdullah Alrumayh
Journal:  Ann Med       Date:  2021-12       Impact factor: 4.709

7.  Association between β-blocker dose and quality of life after myocardial infarction: a real-world Swedish register-linked study.

Authors:  Sophia Humphries; John Wallert; Katarina Mars; Claes Held; Robin Hofmann; Erik M G Olsson
Journal:  Eur Heart J Acute Cardiovasc Care       Date:  2022-06-22

Review 8.  Management strategies in heart failure with preserved ejection fraction.

Authors:  Jan Wintrich; Amr Abdin; Michael Böhm
Journal:  Herz       Date:  2022-05-06       Impact factor: 1.740

9.  Improving the diagnosis of heart failure in patients with atrial fibrillation.

Authors:  Karina V Bunting; Simrat K Gill; Alice Sitch; Samir Mehta; Kieran O'Connor; Gregory Yh Lip; Paulus Kirchhof; Victoria Y Strauss; Kazem Rahimi; A John Camm; Mary Stanbury; Michael Griffith; Jonathan N Townend; Georgios V Gkoutos; Andreas Karwath; Richard P Steeds; Dipak Kotecha
Journal:  Heart       Date:  2021-03-10       Impact factor: 7.365

10.  Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis.

Authors:  Andreas Karwath; Karina V Bunting; Simrat K Gill; Otilia Tica; Samantha Pendleton; Furqan Aziz; Andrey D Barsky; Saisakul Chernbumroong; Jinming Duan; Alastair R Mobley; Victor Roth Cardoso; Luke Slater; John A Williams; Emma-Jane Bruce; Xiaoxia Wang; Marcus D Flather; Andrew J S Coats; Georgios V Gkoutos; Dipak Kotecha
Journal:  Lancet       Date:  2021-08-30       Impact factor: 79.321

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