Jonathan P Piccini1, William T Abraham2, Christopher Dufton3, Ian A Carroll3, Jeff S Healey4, Dirk J van Veldhuisen5, William H Sauer6, Inder S Anand7, Michel White8, Stephen B Wilton9, Ryan Aleong6, Michiel Rienstra5, Steven K Krueger10, Felix Ayala-Paredes11, Yaariv Khaykin12, Bela Merkely13, Vladimir Miloradović14, Jerzy K Wranicz15, Leonard Ilkhanoff16, Paul D Ziegler17, Gordon Davis3, Laura L Emery3, Debra Marshall3, David P Kao6, Michael R Bristow18, Stuart J Connolly4. 1. Duke Clinical Research Institute and Duke University Medical Center, Durham, North Carolina. Electronic address: jonathan.piccini@duke.edu. 2. Ohio State University Medical Center, Columbus, Ohio. 3. ARCA Biopharma, Inc., Westminster, Colorado. 4. Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada. 5. University of Groningen, University Medical Center Groningen, Groningen, the Netherlands. 6. University of Colorado, Boulder, Colorado. 7. U.S. Department of Veterans Affairs, Washington, DC. 8. Montreal Heart Institute, Montreal, Quebec, Canada. 9. Libin Cardiovascular Institute of Alberta, University of Calgary, Calgary, Alberta, Canada. 10. Bryan Heart Institute, Columbus, Nebraska. 11. Centre Hospitalier Universitaire de Sherbrooke, Quebec, Canada. 12. Southlake Regional Health Centre, Newmarket, Ontario, Canada. 13. Heart and Vascular Center of the Semmelweis University, Budapest, Hungary. 14. University of Kragujevac and Clinical Center Kragujevac, Kragujevac, Serbia. 15. Medical University of Lodz, Lodz, Poland. 16. Inova Heart and Vascular Institute, Falls Church, Virginia. 17. Medtronic, Mounds View, Minnesota. 18. ARCA Biopharma, Inc., Westminster, Colorado; University of Colorado, Boulder, Colorado.
Abstract
OBJECTIVES: The purpose of this study was to compare the effectiveness of bucindolol with that of metoprolol succinate for the maintenance of sinus rhythm in a genetically defined heart failure (HF) population with atrial fibrillation (AF). BACKGROUND:Bucindolol is a beta-blocker whose unique pharmacologic properties provide greater benefit in HF patients with reduced ejection fraction (HFrEF) who have the beta1-adrenergic receptor (ADRB1) Arg389Arg genotype. METHODS: A total of 267 HFrEF patients with a left ventricular ejection fraction (LVEF) <0.50, symptomatic AF, and the ADRB1 Arg389Arg genotype were randomized 1:1 to receive bucindolol or metoprolol therapy and were up-titrated to target doses. The primary endpoint of AF or atrial flutter (AFL) or all-cause mortality (ACM) was evaluated by electrocardiogram (ECG) during a 24-week period. RESULTS: The hazard ratio (HR) for the primary endpoint was 1.01 (95% confidence interval [CI]: 0.71 to 1.42), but trends for bucindolol benefit were observed in several subgroups. Precision therapeutic phenotyping revealed that a differential response to bucindolol was associated with the interval of time from the initial diagnoses of AF and HF to randomization and with the onset of AF relative to that of the initial HF diagnosis. In a cohort whose first AF and HF diagnoses were <12 years prior to randomization, in which AF onset did not precede HF by more than 2 years (n = 196), the HR was 0.54 (95% CI: 0.33 to 0.87; p = 0.011). CONCLUSIONS:Pharmacogenetically guided bucindolol therapy did not reduce the recurrence of AF/AFL or ACM compared to that of metoprolol therapy in HFrEF patients, but populations were identified who merited further investigation in future phase 3 trials.
RCT Entities:
OBJECTIVES: The purpose of this study was to compare the effectiveness of bucindolol with that of metoprolol succinate for the maintenance of sinus rhythm in a genetically defined heart failure (HF) population with atrial fibrillation (AF). BACKGROUND:Bucindolol is a beta-blocker whose unique pharmacologic properties provide greater benefit in HF patients with reduced ejection fraction (HFrEF) who have the beta1-adrenergic receptor (ADRB1) Arg389Arg genotype. METHODS: A total of 267 HFrEFpatients with a left ventricular ejection fraction (LVEF) <0.50, symptomatic AF, and the ADRB1Arg389Arg genotype were randomized 1:1 to receive bucindolol or metoprolol therapy and were up-titrated to target doses. The primary endpoint of AF or atrial flutter (AFL) or all-cause mortality (ACM) was evaluated by electrocardiogram (ECG) during a 24-week period. RESULTS: The hazard ratio (HR) for the primary endpoint was 1.01 (95% confidence interval [CI]: 0.71 to 1.42), but trends for bucindolol benefit were observed in several subgroups. Precision therapeutic phenotyping revealed that a differential response to bucindolol was associated with the interval of time from the initial diagnoses of AF and HF to randomization and with the onset of AF relative to that of the initial HF diagnosis. In a cohort whose first AF and HF diagnoses were <12 years prior to randomization, in which AF onset did not precede HF by more than 2 years (n = 196), the HR was 0.54 (95% CI: 0.33 to 0.87; p = 0.011). CONCLUSIONS: Pharmacogenetically guided bucindolol therapy did not reduce the recurrence of AF/AFL or ACM compared to that of metoprolol therapy in HFrEF patients, but populations were identified who merited further investigation in future phase 3 trials.
Authors: Eric J Eichhorn; Michael J Domanski; Heidi Krause-Steinrauf; Michael R Bristow; Philip W Lavori Journal: N Engl J Med Date: 2001-05-31 Impact factor: 91.245
Authors: Amy J Sehnert; Susan E Daniels; Michael Elashoff; James A Wingrove; Christopher R Burrow; Benjamin Horne; Joseph B Muhlestein; Mark Donahue; Stephen B Liggett; Jeffrey L Anderson; William E Kraus Journal: J Am Coll Cardiol Date: 2008-06-23 Impact factor: 24.094
Authors: Ryan G Aleong; William H Sauer; Gordon Davis; Guinevere A Murphy; J David Port; Inder S Anand; Mona Fiuzat; Christopher M O'Connor; William T Abraham; Stephen B Liggett; Michael R Bristow Journal: JACC Heart Fail Date: 2013-08 Impact factor: 12.035
Authors: Lars G Olsson; Karl Swedberg; Anique Ducharme; Christopher B Granger; Eric L Michelson; John J V McMurray; Margareta Puu; Salim Yusuf; Marc A Pfeffer Journal: J Am Coll Cardiol Date: 2006-04-27 Impact factor: 24.094
Authors: Shantanu Sarkar; Jodi Koehler; George H Crossley; W H Wilson Tang; William T Abraham; Eduardo N Warman; David J Whellan Journal: Am Heart J Date: 2012-10 Impact factor: 4.749
Authors: Nassir F Marrouche; Johannes Brachmann; Dietrich Andresen; Jürgen Siebels; Lucas Boersma; Luc Jordaens; Béla Merkely; Evgeny Pokushalov; Prashanthan Sanders; Jochen Proff; Heribert Schunkert; Hildegard Christ; Jürgen Vogt; Dietmar Bänsch Journal: N Engl J Med Date: 2018-02-01 Impact factor: 91.245
Authors: Hazel L White; Rudolf A de Boer; Azhar Maqbool; Darren Greenwood; Dirk J van Veldhuisen; Richard Cuthbert; Stephen G Ball; Alistair S Hall; Anthony J Balmforth Journal: Eur J Heart Fail Date: 2003-08 Impact factor: 15.534
Authors: Nimer Alkhatib; Nancy K Sweitzer; Christopher S Lee; Brian Erstad; Marion Slack; Mahdi Gharaibeh; Jason Karnes; Walter Klimecki; Kenneth Ramos; Ivo Abraham Journal: Am J Cardiovasc Drugs Date: 2021-03 Impact factor: 3.571
Authors: Benjamin A Steinberg; Zhen Li; Emily C O'Brien; Jessica Pritchard; Derek S Chew; T Jared Bunch; Daniel B Mark; Yelena Nabutovsky; Melissa A Greiner; Jonathan P Piccini Journal: Heart Rhythm Date: 2021-01-26 Impact factor: 6.343
Authors: Shinwan Kany; Bruno Reissmann; Andreas Metzner; Paulus Kirchhof; Dawood Darbar; Renate B Schnabel Journal: Cardiovasc Res Date: 2021-06-16 Impact factor: 10.787
Authors: Thomas M Roston; Sunjidatul Islam; Nathaniel M Hawkins; Zachary W Laksman; Shubhayan Sanatani; Andrew D Krahn; Roopinder Sandhu; Padma Kaul Journal: CJC Open Date: 2021-09-14
Authors: William T Abraham; Jonathan P Piccini; Christopher Dufton; Ian A Carroll; Jeffrey S Healey; Christopher M O'Connor; Debra Marshall; Ryan Aleong; Dirk J van Veldhuisen; Michiel Rienstra; Stephen B Wilton; Michel White; William H Sauer; Inder S Anand; Sophia P Huebler; Stuart J Connolly; Michael R Bristow Journal: Heart Rhythm O2 Date: 2021-11-14