TY - JOUR
T1 - EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report
AU - Bottai, Matteo
AU - Tjärnlund, Anna
AU - Santoni, Giola
AU - Werth, Victoria P.
AU - Pilkington, Clarissa
AU - de Visser, Marianne
AU - Alfredsson, Lars
AU - Amato, Anthony A.
AU - Barohn, Richard J.
AU - Liang, Matthew H.
AU - Singh, Jasvinder A.
AU - Aggarwal, Rohit
AU - Arnardottir, Snjolaug
AU - Chinoy, Hector
AU - Cooper, Robert G.
AU - Danko, Katalin
AU - Dimachkie, Mazen M.
AU - Feldman, Brian M.
AU - García-de la Torre, Ignacio
AU - Gordon, Patrick
AU - Hayashi, Taichi
AU - Katz, James D.
AU - Kohsaka, Hitoshi
AU - Lachenbruch, Peter A.
AU - Lang, Bianca A.
AU - Li, Yuhui
AU - Oddis, Chester V.
AU - Olesinka, Marzena
AU - Reed, Ann M.
AU - Rutkowska-Sak, Lidia
AU - Sanner, Helga
AU - Selva-O'Callaghan, Albert
AU - Wook Song, Yeong
AU - Vencovsky, Jiri
AU - Ytterberg, Steven R.
AU - Miller, Frederick W.
AU - Rider, Lisa G.
AU - Lundberg, Ingrid E.
AU - AUTHOR GROUP
AU - Amoruso, Maria
AU - Andersson, Helena
AU - Bayat, Nastaran
AU - Bhansing, Kavish J.
AU - Bucher, Sara
AU - Champbell, Richard
AU - Charles-Schoeman, Christina
AU - Chaudhry, Vinay
AU - Christopher-Stine, Lisa
AU - Chung, Lorinda
AU - Cronin, Mary
AU - Curry, Theresa
PY - 2017
Y1 - 2017
N2 - To describe the methodology used to develop new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIMs) and their major subgroups. 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. 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. 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
AB - To describe the methodology used to develop new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIMs) and their major subgroups. 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. 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. 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
U2 - https://doi.org/10.1136/rmdopen-2017-000507
DO - https://doi.org/10.1136/rmdopen-2017-000507
M3 - Article
C2 - 29177080
SN - 2056-5933
VL - 3
SP - e000507
JO - RMD OPEN
JF - RMD OPEN
IS - 2
ER -