CanVasc logo

CanVasc
Canadian Vasculitis Network

The CanVasc Registry

Short name
CanVascR
Condition
All vasculitides
Status
Recruiting
Study group
Led by CanVasc members
Lead site
Lawson Research Institute, London, ON
Participants
650 enrolled
Participating sites
  • Lawson Research Institute / Western University (London)
  • University of Calgary
  • University of Alberta (Edmonton)
  • Mount Sinai Hospital (Toronto)
  • St. Joseph's Healthcare (Hamilton)
  • University of British Columbia (Vancouver)
  • Health Sciences Centre (Winnipeg)
  • University of Sherbrooke
  • Hôpital Maisonneuve-Rosemont (Montreal)
  • McGill University Health Centre (Montreal)
  • University of Montreal
  • Ottawa Hospital – Riverside Campus
  • Trois-Rivières (Quebec)
  • The Waterside Clinic (Orillia)
CanVasc centres
London, Calgary, Edmonton, Toronto, Hamilton, Vancouver, Winnipeg, Sherbrooke, Montréal, Ottawa, Trois-Rivières, Orillia
Sub-studies

The CanVasc Registry (CanVascR) is a national, multi-center initiative aiming to describe real-world treatment outcomes and identify predictors of response in patients with different types of vasculitis, with the overall goal of improving care and outcomes of patients with all types of systemic vasculitis.

Long-term, detailed data collection (>1,500 variables) includes participant demographics, comorbidities, reproductive health, disease manifestations, investigations, treatments, adverse events, and outcomes — including validated disease activity and damage scores and patient-reported outcomes.

The Lawson Research Institute in London serves as the lead coordinating site, housing the secure REDCap-based CanVascR database and providing the technical infrastructure, and ethics compliance, as well as overseeing data governance and quality control across all participating centers.

Study participants are enrolled from specialized vasculitis centers across the country, where they are assessed and followed as part of routine clinical care. Data is collected both retrospectively and prospectively with flexibility for remote data collection to ensure accessibility.