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Record W3181319479 · doi:10.1161/circep.120.009591

Bucindolol Decreases Atrial Fibrillation Burden in Patients With Heart Failure and the <i>ADRB1</i> Arg389Arg Genotype

2021· article· en· W3181319479 on OpenAlexaff
Jonathan P. Piccini, Christopher Dufton, Ian A. Carroll, Jeff S. Healey, William T. Abraham, Yaariv Khaykin, Ryan G. Aleong, Steven K. Krueger, William H. Sauer, Stephen B. Wilton, Michiel Rienstra, Dirk J. van Veldhuisen, Inder S. Anand, Michel White, A. John Camm, Paul Ziegler, Debra Marshall, Michael R. Bristow, Stuart J. Connolly, Félix Ayala-Paredes, A. Bakbak, ML Bernier, DH Birnie, Benoit Coutu, Eugene Crystal, M. Deyell, KM Dyrda, M Hartleib, Z. Laksman, Peter Leong‐Sit, C. Morillo, AS Pandey, François Philippon, Saul Vizel, Péter Andréka, Z Csanadi, GZ Duray, Tamás Forster, G Kerkovits, Béla Merkely, A. M. A. Nagy, Tamás Símor, Danuta Czarnecka, Jarosław D. Kasprzak, W Musiał, GRZEGORZ RACZAK, Joanna Szachniewicz, Jerzy Krzysztof Wranicz, Svetlana Apostolović, Saša Hinić, Vladimir Miloradović, Dragan Šimić, GJ Milhous, A. W. G. J. Oomen, Tj.J. Römer, LM van Vijk, PB Adamson, JD Allred, Nooshin Amjadi, MM Bahu, AJ Bank, AE Berman, MA Bernabei, R. V. Bhagwat, Lynn Borgatta, Buda Aj, R. Cole, JL Collier, SJ Compton, Otto Costantini, M R Costanzo, I M Dauber, MP Donahue, Isaac Dor, GF Egnacyzk, E.J. Eichhorn, CC Eiswirth, Sitaramesh Emani, GA Ewald, RC Forde-McLean, M. Gelernt, D.E. Haines, CA Henrikson, JM Herre, Bengt Herweg, Leonard Ilkhanoff, LR Jackson, A. Lala, Regina Cheuk‐Lam Lo, Barry London, Brian D. Lowes, JA Mackall, Vani Malhotra, FA McGrew, S. Murali, A Natale, KR Nilsson, J Okolo, MV Perez, RS Phang, Rajeev Ranjan, MY Rashtian, MJ Ross, S. Samii, Terry Shinn, M.B. Shoemaker, SA Strickberger, VN Tholakanahalli, Assaf Tzur, P. J. WANG, LT Younis

Bibliographic record

VenueCirculation Arrhythmia and Electrophysiology · 2021
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMontreal Heart InstituteLibin Cardiovascular Institute of AlbertaSouthlake Regional Health CenterPopulation Health Research Institute
Fundersnot available
KeywordsMedicineInternal medicineAtrial fibrillationCardiologyMetoprololHeart failureSinus rhythmEjection fractionPopulationClinical endpointRandomized controlled trial

Abstract

fetched live from OpenAlex

Background: Bucindolol is a genetically targeted β-blocker/mild vasodilator with the unique pharmacological properties of sympatholysis and ADRB1 Arg389 receptor inverse agonism. In the GENETIC-AF trial (Genotype-Directed Comparative Effectiveness Trial of Bucindolol and Toprol-XL for the Prevention of Symptomatic Atrial Fibrillation/Atrial Flutter in Patients With Heart Failure) conducted in a genetically defined heart failure population at high risk for recurrent atrial fibrillation (AF), similar results were observed for bucindolol and metoprolol succinate for the primary end point of time to first AF event; however, AF burden and other rhythm control measures were not analyzed. Methods: The prevalence of ECGs in normal sinus rhythm, AF interventions for rhythm control (cardioversion, ablation, and antiarrhythmic drugs) and biomarkers were evaluated in the overall population entering efficacy follow-up (N=257). AF burden was evaluated for 24 weeks in the device substudy (N=67). Results: In 257 patients with heart failure, the mean age was 65.6±10.0 years, 18% were female, mean left ventricular ejection fraction was 36%, and 51% had persistent AF. Cumulative 24-week AF burden was 24.4% (95% CI, 18.5–30.2) for bucindolol and 36.7% (95% CI, 30.0–43.5) for metoprolol (33% reduction, P &lt;0.001). Daily AF burden at the end of follow-up was 15.1% (95% CI, 3.2–27.0) for bucindolol and 34.7% (95% CI, 17.9–51.2) for metoprolol (55% reduction, P &lt;0.001). For the metoprolol and bucindolol respective groups, the prevalence of ECGs in normal sinus rhythm was 4.20 and 3.03 events per patient (39% increase in the bucindolol group, P &lt;0.001), while the rate of AF interventions was 0.56 and 0.82 events per patient (32% reduction for bucindolol, P =0.011). Reductions in plasma norepinephrine ( P =0.038) and NT-proBNP (N-terminal pro B-type natriuretic peptide; P =0.009) were also observed with bucindolol compared with metoprolol. Conclusions: Compared with metoprolol, bucindolol reduced AF burden, improved maintenance of sinus rhythm, and lowered the need for additional rhythm control interventions in patients with heart failure and the ADRB1 Arg389Arg genotype. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01970501.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.237
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations14
Published2021
Admission routes1
Has abstractyes

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