title: Automaticity: design of a registry to assess long-term acceptance and clinical impact of Automatic Algorithms in Insignia pacemakers.
abstract: OBJECTIVE
  Worldwide, the number of implants of pacemakers is steadily increasing and this poses an incremental burden on outpatient clinics. While device manufacturers have developed safe and effective automatic algorithms to lighten this workload, the clinical utilization of these algorithms has not been well studied. The Automaticity study is the first large-scale, worldwide registry to evaluate physician's acceptance of automatic algorithms for ventricular capture, automatic sensing, and automatic optimization of sensor settings. The primary objective of the registry is to determine the percentage of patients who have any of the 'Automaticity Algorithms' reprogrammed within 12 months of pacemaker implant.
  
  
  METHODS
  Patients will be implanted with a commercially available pacemaker (Insignia I/Nexus I Ultra or Insignia I/Nexus I AVT, Boston Scientific CRM, St Paul, MN, USA). At discharge, all the 'Automaticity Algorithms' are to be programmed to 'Auto/On'. Data collection on changes in device programming, physician's perception of algorithm function, and adverse events will occur for 12 months following device implant.
  
  
  CONCLUSIONS
  The Automaticity study is the first large-scale, prospective, multi-site, international registry designed to assess the long-term acceptance of automatic pacemaker algorithms for adjustment of the ventricular output, atrial and ventricular sensitivity, and optimization of minute ventilation and accelerometer settings.
authors.affiliation: Amphia Ziekenhuis, Molengracht 21, 4818 CK Breda, The Netherlands. malings@amphia.nl
authors.forename: Marco
authors.initials: M
authors.lastname: Alings
authors.forename: Jan-Mark
authors.initials: JM
authors.lastname: Vorstenbosch
authors.forename: Helen
authors.initials: H
authors.lastname: Reeve
mesh_terms: D000465:Algorithms; D038622:Internationality; D010138:Pacemaker, Artificial / Q000706:statistics & numerical data*; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data*; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data*; D012042:Registries; D013813:Therapy, Computer-Assisted / Q000379:methods*; D014481:United States