Literature DB >> 28077507

Stroke and Mortality Risk in Patients With Various Patterns of Atrial Fibrillation: Results From the ENGAGE AF-TIMI 48 Trial (Effective Anticoagulation With Factor Xa Next Generation in Atrial Fibrillation-Thrombolysis in Myocardial Infarction 48).

Mark S Link1, Robert P Giugliano2, Christian T Ruff2, Benjamin M Scirica2, Heikke Huikuri2, Ali Oto2, Andrea E Crompton2, Sabina A Murphy2, Hans Lanz2, Michele F Mercuri2, Elliott M Antman2, Eugene Braunwald2.   

Abstract

BACKGROUND: Whether the pattern of atrial fibrillation (AF) modifies the risk/benefit of anticoagulation is controversial. In ENGAGE AF-TIMI 48 trial (Effective Anticoagulation with Factor Xa Next Generation in Atrial Fibrillation-Thrombolysis in Myocardial Infarction 48), the factor Xa inhibitor edoxaban was noninferior to warfarin in preventing stroke or systemic embolic events and significantly reduced bleeding and cardiovascular mortality. However, detailed analyses by AF pattern have not been reported. METHODS AND
RESULTS: The 21 105 patients were categorized as having paroxysmal (<7 days duration), persistent (≥7 days but <1 year), or permanent (≥1 year or failed cardioversion) AF patterns at randomization. Efficacy and safety outcomes were evaluated during the 2.8 years median follow-up and compared by AF pattern. The primary end point of stroke/systemic embolic event was lower in those patients with paroxysmal AF (1.49%/year), compared with persistent (1.83%/year; P-adj =0.015) and permanent AF (1.95%/year; P-adj =0.004). Overall, all-cause mortality also was lower with paroxysmal (3.0%/year) compared with persistent (4.4%/year; P-adj <0.001) and permanent AF (4.4%/year; P-adj <0.001). Annualized major bleeding rates were similar across AF patterns (2.86% versus 2.65% versus 2.73%). There was no effect modification by treatment assignment.
CONCLUSIONS: In ENGAGE AF-TIMI 48 trial, patients with paroxysmal AF suffered fewer thromboembolic events and deaths compared with those with persistent and permanent AF. The efficacy and safety profile of edoxaban as compared with warfarin was consistent across the 3 patterns of AF. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00781391.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  atrial fibrillation; bleeding; mortality; stroke; thromboembolism

Mesh:

Substances:

Year:  2017        PMID: 28077507     DOI: 10.1161/CIRCEP.116.004267

Source DB:  PubMed          Journal:  Circ Arrhythm Electrophysiol        ISSN: 1941-3084


  25 in total

1.  Practice Variation in Anticoagulation Prescription and Outcomes After Device-Detected Atrial Fibrillation.

Authors:  Alexander C Perino; Jun Fan; Mariam Askari; Paul A Heidenreich; Edmund Keung; Merritt H Raitt; Jonathan P Piccini; Paul D Ziegler; Mintu P Turakhia
Journal:  Circulation       Date:  2019-03-17       Impact factor: 29.690

2.  Identification of paroxysmal atrial fibrillation subtypes in over 13,000 individuals.

Authors:  Nathan E Wineinger; Paddy M Barrett; Yunyue Zhang; Ikram Irfanullah; Evan D Muse; Steven R Steinhubl; Eric J Topol
Journal:  Heart Rhythm       Date:  2018-08-14       Impact factor: 6.343

3.  Left atrial structure and function and the risk of death or heart failure in atrial fibrillation.

Authors:  Riccardo M Inciardi; Robert P Giugliano; Brian Claggett; Deepak K Gupta; Alvin Chandra; Christian T Ruff; Elliott M Antman; Michele F Mercuri; Michael A Grosso; Eugene Braunwald; Scott D Solomon
Journal:  Eur J Heart Fail       Date:  2019-11-27       Impact factor: 15.534

Review 4.  Stratifying Stroke Risk in Atrial Fibrillation: Beyond Clinical Risk Scores.

Authors:  Shadi Yaghi; Hooman Kamel
Journal:  Stroke       Date:  2017-09-15       Impact factor: 7.914

Review 5.  Thromboembolic risk and effect of oral anticoagulation according to atrial fibrillation patterns: A systematic review and meta-analysis.

Authors:  Alessio Lilli; Andrea Di Cori; Valerio Zacà
Journal:  Clin Cardiol       Date:  2017-05-04       Impact factor: 2.882

6.  Efficacy of Catheter Ablation and Concomitant Antiarrhythmic Drugs on the Reduction of the Arrhythmia Burden in Patients with Long-Standing Persistent Atrial Fibrillation.

Authors:  Atsuhiko Yagishita; Yasuteru Yamauchi; Hironori Sato; Shu Yamashita; Tatsuhiko Hirao; Takamichi Miyamoto; Kenzo Hirao
Journal:  J Atr Fibrillation       Date:  2017-10-31

7.  Predicting Thromboembolic and Bleeding Event Risk in Patients with Non-Valvular Atrial Fibrillation: A Systematic Review.

Authors:  Ethan D Borre; Adam Goode; Giselle Raitz; Bimal Shah; Angela Lowenstern; Ranee Chatterjee; Lauren Sharan; Nancy M Allen LaPointe; Roshini Yapa; J Kelly Davis; Kathryn Lallinger; Robyn Schmidt; Andrzej Kosinski; Sana M Al-Khatib; Gillian D Sanders
Journal:  Thromb Haemost       Date:  2018-10-30       Impact factor: 6.681

8.  Impact of paroxysmal versus non-paroxysmal atrial fibrillation on outcomes in patients undergoing transcatheter mitral valve repair.

Authors:  Kishorbhai Gangani; Haytham Alkhaimy; Nikita Patil; Kranthi Sitammagari; Poonam Bhyan; Sameer Arora; John P Vavalle
Journal:  Cardiovasc Diagn Ther       Date:  2020-02

Review 9.  A Review of Biomarkers for Ischemic Stroke Evaluation in Patients With Non-valvular Atrial Fibrillation.

Authors:  Luxiang Shang; Ling Zhang; Yankai Guo; Huaxin Sun; Xiaoxue Zhang; Yakun Bo; Xianhui Zhou; Baopeng Tang
Journal:  Front Cardiovasc Med       Date:  2021-07-01

10.  Risk factors for death, stroke, and bleeding in 28,628 patients from the GARFIELD-AF registry: Rationale for comprehensive management of atrial fibrillation.

Authors:  Jean-Pierre Bassand; Gabriele Accetta; Wael Al Mahmeed; Ramon Corbalan; John Eikelboom; David A Fitzmaurice; Keith A A Fox; Haiyan Gao; Samuel Z Goldhaber; Shinya Goto; Sylvia Haas; Gloria Kayani; Karen Pieper; Alexander G G Turpie; Martin van Eickels; Freek W A Verheugt; Ajay K Kakkar
Journal:  PLoS One       Date:  2018-01-25       Impact factor: 3.240

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