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Incidence of clinical atrial fibrillation and related complications using a screening algorithm at a nationwide level.

Antoine RogerYves CottinSid Ahmed BentounesArnaud BissonAlexandre BodinJulien HerbertBaptiste MailleMarianne ZellerJean Claude DeharoGregory Yoke Hong LipLaurent Fauchier
Published in: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology (2023)
These findings at a nationwide scale confirm the relevance of the subgroups in the EHRA algorithm for identifying a higher risk of AF incidence, showing that older patients (>75 years, regardless of comorbidities) have a higher incidence of AF than those with prior ischaemic stroke. Further studies are needed to evaluate the usefulness of algorithm-based risk stratification strategies for AF screening and the impact of screening on major cardiovascular event rates.
Keyphrases
  • atrial fibrillation
  • risk factors
  • machine learning
  • deep learning
  • left atrial
  • oral anticoagulants
  • catheter ablation
  • left atrial appendage
  • neural network
  • percutaneous coronary intervention
  • venous thromboembolism