Developing a provisional, international Minimal Dataset for Juvenile Dermatomyositis: For use in clinical practice to inform research

Liza J. McCann, Katie Arnold, Clarissa A. Pilkington, Adam M. Huber, Angelo Ravelli, Laura Beard, Michael W. Beresford, Lucy R. Wedderburn

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Juvenile dermatomyositis (JDM) is a rare but severe autoimmune inflammatory myositis of childhood. International collaboration is essential in order to undertake clinical trials, understand the disease and improve long-term outcome. The aim of this study was to propose from existing collaborative initiatives a preliminary minimal dataset for JDM. This will form the basis of the future development of an international consensus-approved minimum core dataset to be used both in clinical care and inform research, allowing integration of data between centres.Methods: A working group of internationally-representative JDM experts was formed to develop a provisional minimal dataset. Clinical and laboratory variables contained within current national and international collaborative databases of patients with idiopathic inflammatory myopathies were scrutinised. Judgements were informed by published literature and a more detailed analysis of the Juvenile Dermatomyositis Cohort Biomarker Study and Repository, UK and Ireland.Results: A provisional minimal JDM dataset has been produced, with an associated glossary of definitions. The provisional minimal dataset will request information at time of patient diagnosis and during on-going prospective follow up. At time of patient diagnosis, information will be requested on patient demographics, diagnostic criteria and treatments given prior to diagnosis. During on-going prospective follow-up, variables will include the presence of active muscle or skin disease, major organ involvement or constitutional symptoms, investigations, treatment, physician global assessments and patient reported outcome measures.Conclusions: An internationally agreed minimal dataset has the potential to significantly enhance collaboration, allow effective communication between groups, provide a minimal standard of care and enable analysis of the largest possible number of JDM patients to provide a greater understanding of this disease. This preliminary dataset can now be developed into a consensus-approved minimum core dataset and tested in a wider setting with the aim of achieving international agreement.

Original languageEnglish
Article number31
JournalPediatric Rheumatology
Volume12
Issue number1
DOIs
Publication statusPublished - Jul 21 2014

Keywords

  • Collaboration
  • Core set
  • Dataset
  • Disease activity
  • Idiopathic Inflammatory myopathy
  • International
  • Juvenile dermatomyositis

ASJC Scopus subject areas

  • Immunology and Allergy
  • Pediatrics, Perinatology, and Child Health
  • Rheumatology
  • Medicine(all)

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