Literature DB >> 29223431

International trends in clinical characteristics and oral anticoagulation treatment for patients with atrial fibrillation: Results from the GARFIELD-AF, ORBIT-AF I, and ORBIT-AF II registries.

Benjamin A Steinberg1, Haiyan Gao2, Peter Shrader3, Karen Pieper3, Laine Thomas3, A John Camm4, Michael D Ezekowitz5, Gregg C Fonarow6, Bernard J Gersh7, Samuel Goldhaber8, Sylvia Haas9, Werner Hacke10, Peter R Kowey11, Jack Ansell12, Kenneth W Mahaffey13, Gerald Naccarelli14, James A Reiffel15, Alexander Turpie16, Freek Verheugt17, Jonathan P Piccini18, Ajay Kakkar2, Eric D Peterson18, Keith A A Fox19.   

Abstract

Atrial fibrillation (AF) is the most common cardiac arrhythmia in the world. We aimed to provide comprehensive data on international patterns of AF stroke prevention treatment.
METHODS: Demographics, comorbidities, and stroke risk of the patients in the GARFIELD-AF (n=51,270), ORBIT-AF I (n=10,132), and ORBIT-AF II (n=11,602) registries were compared (overall N=73,004 from 35 countries). Stroke prevention therapies were assessed among patients with new-onset AF (≤6 weeks).
RESULTS: Patients from GARFIELD-AF were less likely to be white (63% vs 89% for ORBIT-AF I and 86% for ORBIT-AF II) or have coronary artery disease (19% vs 36% and 27%), but had similar stroke risk (85% CHA2DS2-VASc ≥2 vs 91% and 85%) and lower bleeding risk (11% with HAS-BLED ≥3 vs 24% and 15%). Oral anticoagulant use was 46% and 57% for patients with a CHA2DS2-VASc=0 and 69% and 87% for CHA2DS2-VASc ≥2 in GARFIELD-AF and ORBIT-AF II, respectively, but with substantial geographic heterogeneity in use of oral anticoagulant (range: 31%-93% [GARFIELD-AF] and 66%-100% [ORBIT-AF II]). Among patients with new-onset AF, non-vitamin K antagonist oral anticoagulant use increased over time to 43% in 2016 for GARFIELD-AF and 71% for ORBIT-AF II, whereas use of antiplatelet monotherapy decreased from 36% to 17% (GARFIELD-AF) and 18% to 8% (ORBIT-AF I and II).
CONCLUSIONS: Among new-onset AF patients, non-vitamin K antagonist oral anticoagulant use has increased and antiplatelet monotherapy has decreased. However, anticoagulation is used frequently in low-risk patients and inconsistently in those at high risk of stroke. Significant geographic variability in anticoagulation persists and represents an opportunity for improvement.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29223431     DOI: 10.1016/j.ahj.2017.08.011

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  35 in total

1.  Use of P2Y12 inhibitors among Medicaid beneficiaries between 2008 and 2018.

Authors:  Nayyra Fatani; Christopher Fanikos; Clara Ting; Leo F Buckley; John Fanikos
Journal:  J Thromb Thrombolysis       Date:  2019-11       Impact factor: 2.300

Review 2.  Patients on NOACs in the Emergency Room.

Authors:  Stefan T Gerner; Hagen B Huttner
Journal:  Curr Neurol Neurosci Rep       Date:  2019-05-29       Impact factor: 5.081

3.  Incidence and consequences of resuming oral anticoagulant therapy following hematuria and risks of ischemic stroke and major bleeding in patients with atrial fibrillation.

Authors:  Chun-Li Wang; Victor Chien-Chia Wu; Yu-Tung Huang; Yu-Ling Chen; Pao-Hsien Chu; Chang-Fu Kuo; Ming-Shien Wen; Shang-Hung Chang
Journal:  J Thromb Thrombolysis       Date:  2021-01       Impact factor: 2.300

4.  Uptake in antithrombotic treatment and its association with stroke incidence in atrial fibrillation: insights from a large German claims database.

Authors:  Stefan H Hohnloser; Edin Basic; Michael Nabauer
Journal:  Clin Res Cardiol       Date:  2019-02-15       Impact factor: 5.460

5.  Emergency colectomies in the NOAC era: a nationwide analysis demonstrating increased complications.

Authors:  Jeongyoon Moon; Maryam AlFarsi; Daniel Marinescu; Mohammed AlQahtani; Allison Pang; Gabriela Ghitulescu; Carol-Ann Vasilevsky; Marylise Boutros
Journal:  Surg Endosc       Date:  2022-09-26       Impact factor: 3.453

6.  Hospitalization affects the anticoagulation patterns of patients with atrial fibrillation.

Authors:  Anastasios Kartas; Athanasios Samaras; Dimitra Vasdeki; George Dividis; George Fotos; Eleni Paschou; Evropi Forozidou; Paraskevi Tsoukra; Eleni Kotsi; Ioannis Goulas; George Efthimiadis; Gregory Giamouzis; Haralambos Karvounis; Apostolos Tzikas; George Giannakoulas
Journal:  J Thromb Thrombolysis       Date:  2019-08       Impact factor: 2.300

7.  Machine learning does not improve upon traditional regression in predicting outcomes in atrial fibrillation: an analysis of the ORBIT-AF and GARFIELD-AF registries.

Authors:  Zak Loring; Suchit Mehrotra; Jonathan P Piccini; John Camm; David Carlson; Gregg C Fonarow; Keith A A Fox; Eric D Peterson; Karen Pieper; Ajay K Kakkar
Journal:  Europace       Date:  2020-11-01       Impact factor: 5.214

8.  Changes in anticoagulant prescription patterns over time for patients with atrial fibrillation around the world.

Authors:  Monika Kozieł; Christine Teutsch; Valentina Bayer; Shihai Lu; Venkatesh K Gurusamy; Jonathan L Halperin; Kenneth J Rothman; Hans-Christoph Diener; Chang-Sheng Ma; Menno V Huisman; Gregory Y H Lip
Journal:  J Arrhythm       Date:  2021-07-10

9.  Effect of an artificial intelligence-assisted tool on non-valvular atrial fibrillation anticoagulation management in primary care: protocol for a cluster randomized controlled trial.

Authors:  Xueying Ru; Lan Zhu; Yunhui Ma; Tianhao Wang; Zhigang Pan
Journal:  Trials       Date:  2022-04-15       Impact factor: 2.728

10.  Outcomes With Novel Oral Anticoagulants in Obese Patients who Underwent Electrical Cardioversion for Atrial Tachyarrhythmias.

Authors:  Rachel M Kaplan; Celso L Diaz; Theresa Strzelczyk; Cindy You; Basil Saour; Michelle Fine; Amar Trivedi; Mark J Shen; Prasongchai Sattayaprasert; Alexandru B Chicos; Rishi Arora; Susan Kim; Albert Lin; Nishant Verma; Bradley P Knight; Rod S Passman
Journal:  Am J Cardiol       Date:  2018-07-04       Impact factor: 3.133

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