GARFIELD-AF: a worldwide prospective registry of patients with atrial fibrillation at risk of stroke

Jean-Pierre Bassand, Patricia N Apenteng, Dan Atar, A John Camm, Frank Cools, Ramon Corbalan, David A Fitzmaurice, Keith Aa Fox, Shinya Goto, Sylvia Haas, Werner Hacke, Carlos Jerjes-Sanchez, Yukihiro Koretsune, Jean-Yves Le Heuzey, Jitendra Ps Sawhney, Seil Oh, Janina Stępińska, Vincent Ten Cate, Freek Wa Verheugt, Gloria KayaniKaren S Pieper, Ajay K Kakkar, GARFIELD-AF Investigators

Research output: Contribution to journalArticlepeer-review

Abstract

The Global Anticoagulant Registry in the Field-Atrial Fibrillation (GARFIELD-AF) examined real-world practice in a total of 57,149 (5069 retrospective, 52,080 prospective) patients with newly diagnosed AF at risk of stroke/systemic embolism, enrolled at over 1000 centers in 35 countries. It aimed to capture data on AF burden, patients' clinical profile, patterns of clinical practice and antithrombotic management, focusing on stroke/systemic embolism prevention, uptake of new oral anticoagulants, impact on death and bleeding. GARFIELD-AF set new standards for quality of data collection and analysis. A total of 36 peer-reviewed articles were already published and 73 abstracts presented at international congresses, covering treatment strategies, geographical variations in baseline risk and therapies, adverse outcomes and common comorbidities such as heart failure. A risk prediction tool as well as innovative observational studies and artificial intelligence methodologies are currently being developed by GARFIELD-AF researchers. Clinical Trial Registration: NCT01090362 (ClinicalTrials.gov).

Original languageEnglish
Pages (from-to)19-38
Number of pages20
JournalFuture Cardiology
Volume17
Issue number1
Early online date22 Jul 2020
DOIs
Publication statusPublished - Jan 2021

Keywords

  • Anticoagulants/therapeutic use
  • Artificial Intelligence
  • Atrial Fibrillation/complications
  • Humans
  • Prospective Studies
  • Registries
  • Retrospective Studies
  • Risk Factors
  • Stroke/epidemiology

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