New artificial intelligence prediction model using serial prothrombin time international normalized ratio measurements in atrial fibrillation patients on vitamin K antagonists: GARFIELD-AF.

Journal: European heart journal. Cardiovascular pharmacotherapy
PMID: 31821482

Abstract

AIMS: Most clinical risk stratification models are based on measurement at a single time-point rather than serial measurements. Artificial intelligence (AI) is able to predict one-dimensional outcomes from multi-dimensional datasets. Using data from Global Anticoagulant Registry in the Field (GARFIELD)-AF registry, a new AI model was developed for predicting clinical outcomes in atrial fibrillation (AF) patients up to 1 year based on sequential measures of prothrombin time international normalized ratio (PT-INR) within 30 days of enrolment.

Authors

  • Shinichi Goto
    Division of General Internal Medicine & Family Medicine, Department of General and Acute Medicine, Tokai University School of Medicine, Isehara, Japan.
  • Shinya Goto
    Department of Medicine (Cardiology), Tokai University School of Medicine, Isehara, Japan.
  • Karen S Pieper
    Department of Clinical Research, Thrombosis Research Institute, Emmanuel Kaye Building, Manresa Road, Chelsea, London SW3 6LR, UK.
  • Jean-Pierre Bassand
    Department of Clinical Research, Thrombosis Research Institute, Emmanuel Kaye Building, Manresa Road, Chelsea, London SW3 6LR, UK.
  • Alan John Camm
    Cardiology Clinical Academic Group, Molecular & Clinical Sciences Institute, St. George's University of London, Cranmer Terrace, Tooting, London, UK.
  • David A Fitzmaurice
    Department of Cardio-respiratory Primary Care, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
  • Samuel Z Goldhaber
    Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
  • Sylvia Haas
    Formerly Klinikum rechts der Isar, Technical University of Munich, Normannenstr. 34a, Munich 80333, Germany.
  • Alexander Parkhomenko
    National Scientific Center, Strazhesko Institute of Cardiology, 5 Narodnogo Opolcheniya Street, Kiev 03680, Ukraine.
  • Ali Oto
    Department of Cardiology, Memorial Ankara Hospital, Sihhiye, 06100, Ankara, Turkey.
  • Frank Misselwitz
    Therapeutic areas Thrombosis & Hematology, Bayer AG, Müllerstraße 178, 13353 Berlin, Germany.
  • Alexander G G Turpie
    Department of Medicine, McMaster University, 237 Barton St E Hamilton, Ontario L8L 2X2, Canada.
  • Freek W A Verheugt
    Department of Cardiology, Onze Lieve Vrouwe Gasthuis (OLVG), Oosterpark 9, NL-1091-AC Amsterdam, Netherlands.
  • Keith A A Fox
    Edinburgh Centre for Cardiovascular Science, University of Edinburgh, Queen's Medical Research Institute, 47 Little France Crescent, Edinburgh EH16 4TJ, UK.
  • Bernard J Gersh
    Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
  • Ajay K Kakkar
    Department of Clinical Research, Thrombosis Research Institute, Emmanuel Kaye Building, Manresa Road, Chelsea, London SW3 6LR, UK.

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