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001-es BibID:BIBFORM073206
Első szerző:Bottai, Matteo
Cím:EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups : a methodology report / Matteo Bottai, Anna Tjärnlund, Giola Santoni, Victoria P. Werth, Clarissa Pilkington, Marianne de Visser, Lars Alfredsson, Anthony A. Amato, Richard J. Barohn, Matthew H. Liang, Jasvinder A. Singh, Rohit Aggarwal, Snjolaug Arnardottir, Hector Chinoy, Robert G. Cooper, Katalin Danko, Mazen M. Dimachkie, Brian M. Feldman, Ignacio García-De La Torre, Patrick Gordon, Taichi Hayashi, James D. Katz, Hitoshi Kohsaka, Peter A. Lachenbruch, Bianca A. Lang, Yuhui Li, Chester V. Oddis, Marzena Olesinka, Ann M. Reed, Lidia Rutkowska-Sak, Helga Sanner, Albert Selva-O'Callaghan, Yeong Wook Song, Jiri Vencovsky, Steven R. Ytterberg, Frederick W. Miller, Lisa G. Rider, Ingrid E. Lundberg, International Myositis Classification Criteria Project consortium, Euromyositis register and the Juvenile Dermatomyositis Cohort Biomarker Study and Repository
Dátum:2017
ISSN:2056-5933
Megjegyzések: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
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
autoimmune diseases
dermatomyositis
polymyositis
Megjelenés:RMD Open. - 3 : 2 (2017), p. 1-10. -
További szerzők:Tjärnlund, Anna Santoni, Giola Werth, Victoria P. Pilkington, Clarissa Visser, Marianne de Alfredsson, Lars Amato, Anthony A. Barohn, Richard J. Liang, Matthew H. Singh, Jasvinder A. Aggarwal, Rohit Arnardottir, Snjolaug Chinoy, Hector Cooper, Robert G. Dankó Katalin (1952-2021) (belgyógyász, allergológus és klinikai immunológus) Dimachkie, Mazen M. Feldman, Brian M. Torre, Ignacio García-De la Gordon, Patrick Hayashi, Taichi Katz, James D. Kohsaka, Hitoshi Lachenbruch, Peter A. Lang, Bianca A. Li, Yuhui Oddis, Chester V. Olesinka, Marzena Reed, Ann M. Rutkowska-Sak, Lidia Sanner, Helga Selva-O'Callaghan, Albert Song, Yeong Wook Vencovsky, Jiri Ytterberg, Steven R. Miller, Frederick W. Rider, Lisa G. Lundberg, Ingrid International Myositis Classification Criteria Project consortium Euromyositis register and the Juvenile Dermatomyositis Cohort Biomarker Study and Repository
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