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  • Bottai, MatteoKarolinska Institutet (author)

EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups : a methodology report

  • Article/chapterEnglish2017

Publisher, publication year, extent ...

  • 2017-11-14
  • BMJ,2017
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:su-160295
  • https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-160295URI
  • https://doi.org/10.1136/rmdopen-2017-000507DOI
  • http://kipublications.ki.se/Default.aspx?queryparsed=id:229177080URI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Objective To describe the methodology used to develop new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIMs) and their major subgroups.Methods An international, multidisciplinary group of myositis experts produced a set of 93 potentially relevant variables to be tested for inclusion in the criteria. Rheumatology, dermatology, neurology and paediatric clinics worldwide collected data on 976 IIM cases (74% adults, 26% children) and 624 non-IIM comparator cases with mimicking conditions (82% adults, 18% children). The participating clinicians classified each case as IIM or non-IIM. Generally, the classification of any given patient was based on few variables, leaving remaining variables unmeasured. We investigated the strength of the association between all variables and between these and the disease status as determined by the physician. We considered three approaches: (1) a probability-score approach, (2) a sum-of-items approach criteria and (3) a classification-tree approach.Results The approaches yielded several candidate models that were scrutinised with respect to statistical performance and clinical relevance. The probability-score approach showed superior statistical performance and clinical practicability and was therefore preferred over the others. We developed a classification tree for subclassification of patients with IIM. A calculator for electronic devices, such as computers and smartphones, facilitates the use of the European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria.Conclusions The new EULAR/ACR classification criteria provide a patient's probability of having IIM for use in clinical and research settings. The probability is based on a score obtained by summing the weights associated with a set of criteria items.

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  • Tjärnlund, Anna (author)
  • Santoni, GiolaKarolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI) (author)
  • Werth, Victoria P. (author)
  • Pilkington, Clarissa (author)
  • de Visser, Marianne (author)
  • Alfredsson, LarsKarolinska Institutet (author)
  • Amato, Anthony A. (author)
  • Barohn, Richard J. (author)
  • Liang, Matthew H. (author)
  • Singh, Jasvinder A.Karolinska Institutet (author)
  • Aggarwal, Rohit (author)
  • Arnardottir, Snjolaug (author)
  • Chinoy, Hector (author)
  • Cooper, Robert G. (author)
  • Danko, Katalin (author)
  • Dimachkie, Mazen M. (author)
  • Feldman, Brian M. (author)
  • García-De La Torre, Ignacio (author)
  • Gordon, Patrick (author)
  • Hayashi, Taichi (author)
  • Katz, James D. (author)
  • Kohsaka, Hitoshi (author)
  • Lachenbruch, Peter A. (author)
  • Lang, Bianca A. (author)
  • Li, Yuhui (author)
  • Oddis, Chester V. (author)
  • Olesinka, Marzena (author)
  • Reed, Ann M. (author)
  • Rutkowska-Sak, Lidia (author)
  • Sanner, Helga (author)
  • Selva-O'Callaghan, Albert (author)
  • Song, Yeong Wook (author)
  • Vencovsky, Jiri (author)
  • Ytterberg, Steven R. (author)
  • Miller, Frederick W. (author)
  • Rider, Lisa G. (author)
  • Lundberg, Ingrid E.Karolinska Institutet (author)
  • Karolinska InstitutetCentrum för forskning om äldre och åldrande (ARC), (tills m KI) (creator_code:org_t)

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  • In:RMD Open: BMJ3:22056-5933

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