P
Peter A. Noseworthy
Researcher at Mayo Clinic
Publications - 382
Citations - 13384
Peter A. Noseworthy is an academic researcher from Mayo Clinic. The author has contributed to research in topics: Medicine & Atrial fibrillation. The author has an hindex of 45, co-authored 275 publications receiving 8414 citations. Previous affiliations of Peter A. Noseworthy include Harvard University & Boston University.
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Journal ArticleDOI
Effect of Catheter Ablation vs Antiarrhythmic Drug Therapy on Mortality, Stroke, Bleeding, and Cardiac Arrest Among Patients With Atrial Fibrillation: The CABANA Randomized Clinical Trial
Douglas L. Packer,Daniel B. Mark,Richard A. Robb,Kristi H. Monahan,Tristram D. Bahnson,Jeanne E. Poole,Peter A. Noseworthy,Yves Rosenberg,Neal Jeffries,L. Brent Mitchell,Greg C. Flaker,Evgeny Pokushalov,Alexander Romanov,T. Jared Bunch,Georg Noelker,Ardashev Av,Amiran Revishvili,David J. Wilber,Riccardo Cappato,Karl-Heinz Kuck,Gerhard Hindricks,D. Wyn Davies,Peter R. Kowey,Gerald V. Naccarelli,James A. Reiffel,Jonathan P. Piccini,Adam P. Silverstein,Hussein R. Al-Khalidi,Kerry L. Lee +28 more
TL;DR: Among patients with AF, the strategy of catheter ablation, compared with medical therapy, did not significantly reduce the primary composite end point of death, disabling stroke, serious bleeding, or cardiac arrest, which should be considered in interpreting the results of the trial.
Journal ArticleDOI
An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.
Zachi I. Attia,Peter A. Noseworthy,Francisco Lopez-Jimenez,Samuel J. Asirvatham,Abhishek Deshmukh,Bernard J. Gersh,Rickey E. Carter,Xiaoxi Yao,Alejandro A. Rabinstein,Brad J Erickson,Suraj Kapa,Paul A. Friedman +11 more
TL;DR: An artificial intelligence (AI)-enabled electrocardiograph (ECG) using a convolutional neural network to detect the electrocardsiographic signature of atrial fibrillation present during normal sinus rhythm using standard 10-second, 12-lead ECGs is developed.
Journal ArticleDOI
Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram
Zachi I. Attia,Suraj Kapa,Francisco Lopez-Jimenez,Paul M. McKie,Dorothy J. Ladewig,Gaurav Satam,Patricia A. Pellikka,Maurice Enriquez-Sarano,Peter A. Noseworthy,Thomas M. Munger,Samuel J. Asirvatham,Christopher G. Scott,Rickey E. Carter,Paul A. Friedman +13 more
TL;DR: A deep learning algorithm applied to the electrocardiogram can detect abnormally low contractile function of the heart, opening up the possibility for a simple screening tool for this condition.
Journal ArticleDOI
Common variants at ten loci influence QT interval duration in the QTGEN Study.
Christopher Newton-Cheh,Christopher Newton-Cheh,Mark Eijgelsheim,Kenneth Rice,Paul I.W. de Bakker,Paul I.W. de Bakker,Xiaoyan Yin,Karol Estrada,Joshua C. Bis,Kristin D. Marciante,Fernando Rivadeneira,Peter A. Noseworthy,Nona Sotoodehnia,Nicholas L. Smith,Nicholas L. Smith,Jerome I. Rotter,Jan A. Kors,Jacqueline C.M. Witteman,Albert Hofman,Susan R. Heckbert,Susan R. Heckbert,Christopher J. O'Donnell,Christopher J. O'Donnell,André G. Uitterlinden,Bruce M. Psaty,Thomas Lumley,Martin G. Larson,Bruno H. Stricker +27 more
TL;DR: A meta-analysis of three genome-wide association studies in 13,685 individuals of European ancestry offers insights into myocardial repolarization and suggests candidate genes that could predispose to sudden cardiac death and drug-induced arrhythmias.
Journal ArticleDOI
Non-Vitamin K Antagonist Oral Anticoagulant Dosing in Patients With Atrial Fibrillation and Renal Dysfunction.
TL;DR: In routine clinical practice, prescribed NOAC doses are often inconsistent with drug labeling and prescribing patterns may be associated with worse safety withNo benefit in effectiveness in patients with severe kidney disease and worse effectiveness with no benefit in safety in apixaban-treated patients with normal or mildly impaired renal function.