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EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report
M. Bottai, A. Tjärnlund, G. Santoni, VP. Werth, C. Pilkington, M. de Visser, L. Alfredsson, AA. Amato, RJ. Barohn, MH. Liang, JA. Singh, R. Aggarwal, S. Arnardottir, H. Chinoy, RG. Cooper, K. Danko, MM. Dimachkie, BM. Feldman, I. García-De La...
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2015
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od 2015
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od 2015-01-01
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- Publikační typ
- časopisecké články MeSH
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.
Department of Clinical Neuroscience Karolinska Institutet Stockholm Sweden
Department of Neurology Academic Medical Centre Amsterdam The Netherlands
Department of Neurology Brigham and Women's Hospital Harvard Medical School Boston Massachusetts USA
Department of Neurology University of Kansas Medical Center Kansas City Kansas USA
Department of Pediatrics Duke University Durham North Carolina USA
Department of Public Health Oregon State University Corvallis Oregon USA
Department of Rheumatology and Immunology People's Hospital of Beijing University Beijing China
Department of Rheumatology Great Ormond Street Hospital for Children NHS Trust London UK
Department of Rheumatology King's College Hospital NHS Foundation Trust London UK
Division of Rheumatology Mayo Clinic College of Medicine Rochester Minnesota USA
Institute of Environmental Medicine Karolinska Institutet Stockholm Sweden
Paediatric Clinic of Rheumatology Institute of Rheumatology Warsaw Poland
Section of Rheumatology Oslo University Hospital Rikshospitalet Oslo Norway
Unit of Biostatistics Institute for Environmental Medicine Karolinska Institutet Stockholm Sweden
University of Alabama at Birmingham and Birmingham VA Medical Birmingham Alabama USA
US Department of Health and Human Services National Institutes of Health Bethesda Maryland USA
Citace poskytuje Crossref.org
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