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Autor
Aggarwal, Rohit 1 Alfredsson, Lars 1 Amato, Anthony A 1 Arnardottir, Snjolaug 1 Barohn, Richard J 1 Bottai, Matteo 1 Chinoy, Hector 1 Cooper, Robert G 1 Danko, Katalin 1 Dimachkie, Mazen M 1 Feldman, Brian M 1 García-De La Torre, Ignacio 1 Gordon, Patrick 1 Hayashi, Taichi 1 Katz, James D 1 Kohsaka, Hitoshi 1 Lachenbruch, Peter A 1 Lang, Bianca A 1 Li, Yuhui 1 Liang, Matthew H 1
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Pracoviště
Aging Research Center Department of N... 1 Clinical Immunology Doctoral Program ... 1 Connective Tissue Diseases Department... 1 Department of Clinical Neuroscience K... 1 Department of Dermatology Philadelphi... 1 Department of Immunology and Rheumato... 1 Department of Internal Medicine Medic... 1 Department of Neurology Academic Medi... 1 Department of Neurology Brigham and W... 1 Department of Neurology University of... 1 Department of Pediatrics Division of ... 1 Department of Pediatrics Division of ... 1 Department of Pediatrics Duke Univers... 1 Department of Public Health Oregon St... 1 Department of Rheumatology Graduate S... 1 Department of Rheumatology Great Ormo... 1 Department of Rheumatology King's Col... 1 Department of Rheumatology and Immuno... 1 Division of Immunology 3rd Department... 1 Division of Rheumatology Immunology a... 1
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Autor
Aggarwal, Rohit 1 Alfredsson, Lars 1 Amato, Anthony A 1 Arnardottir, Snjolaug 1 Barohn, Richard J 1 Bottai, Matteo 1 Chinoy, Hector 1 Cooper, Robert G 1 Danko, Katalin 1 Dimachkie, Mazen M 1 Feldman, Brian M 1 García-De La Torre, Ignacio 1 Gordon, Patrick 1 Hayashi, Taichi 1 Katz, James D 1 Kohsaka, Hitoshi 1 Lachenbruch, Peter A 1 Lang, Bianca A 1 Li, Yuhui 1 Liang, Matthew H 1
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Pracoviště
Aging Research Center Department of N... 1 Clinical Immunology Doctoral Program ... 1 Connective Tissue Diseases Department... 1 Department of Clinical Neuroscience K... 1 Department of Dermatology Philadelphi... 1 Department of Immunology and Rheumato... 1 Department of Internal Medicine Medic... 1 Department of Neurology Academic Medi... 1 Department of Neurology Brigham and W... 1 Department of Neurology University of... 1 Department of Pediatrics Division of ... 1 Department of Pediatrics Division of ... 1 Department of Pediatrics Duke Univers... 1 Department of Public Health Oregon St... 1 Department of Rheumatology Graduate S... 1 Department of Rheumatology Great Ormo... 1 Department of Rheumatology King's Col... 1 Department of Rheumatology and Immuno... 1 Division of Immunology 3rd Department... 1 Division of Rheumatology Immunology a... 1
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Free Medical Journals od 2015
PubMed Central od 2015
Europe PubMed Central od 2015
ProQuest Central od 2015-01-01
Open Access Digital Library od 2015-01-01
Open Access Digital Library od 2015-01-01
Health & Medicine (ProQuest) od 2015-01-01
ROAD: Directory of Open Access Scholarly Resources od 2015
PubMed
29177080
DOI
10.1136/rmdopen-2017-000507
Knihovny.cz E-zdroje
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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Po ukončení testovacího provozu bude odkaz přesměrován adresu produkční verze portálu Medvik.