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

International Myositis Classification Criteria Project consortium, The Euromyositis register and The Juvenile Dermatomyositis Cohort Biomarker Study and Repository (JDRG) (UK and Ireland)

Research output: Contribution to journalReview article

18 Citations (Scopus)

Abstract

Objective T o describe the methodology used to develop new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIMs) and their major subgroups. Methods A n 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-ofitems approach criteria and (3) a classification-tree approach. Results T he approaches yielded several candidate models that were scrutinised with respect to statistical performance and clinical relevance. The probabilityscore 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.

Original languageEnglish (US)
Article numbere000507
JournalRMD Open
Volume3
Issue number2
DOIs
StatePublished - Jan 1 2017

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Myositis
Rheumatology
Neurology
Dermatology
Pediatrics
Physicians
Weights and Measures
Equipment and Supplies
Research

ASJC Scopus subject areas

  • Rheumatology
  • Immunology and Allergy
  • Immunology

Cite this

International Myositis Classification Criteria Project consortium, The Euromyositis register and The Juvenile Dermatomyositis Cohort Biomarker Study and Repository (JDRG) (UK and Ireland) (2017). EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: A methodology report. RMD Open, 3(2), [e000507]. https://doi.org/10.1136/rmdopen-2017-000507

EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups : A methodology report. / International Myositis Classification Criteria Project consortium, The Euromyositis register and The Juvenile Dermatomyositis Cohort Biomarker Study and Repository (JDRG) (UK and Ireland).

In: RMD Open, Vol. 3, No. 2, e000507, 01.01.2017.

Research output: Contribution to journalReview article

International Myositis Classification Criteria Project consortium, The Euromyositis register and The Juvenile Dermatomyositis Cohort Biomarker Study and Repository (JDRG) (UK and Ireland) 2017, 'EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: A methodology report', RMD Open, vol. 3, no. 2, e000507. https://doi.org/10.1136/rmdopen-2017-000507
International Myositis Classification Criteria Project consortium, The Euromyositis register and The Juvenile Dermatomyositis Cohort Biomarker Study and Repository (JDRG) (UK and Ireland). EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: A methodology report. RMD Open. 2017 Jan 1;3(2). e000507. https://doi.org/10.1136/rmdopen-2017-000507
International Myositis Classification Criteria Project consortium, The Euromyositis register and The Juvenile Dermatomyositis Cohort Biomarker Study and Repository (JDRG) (UK and Ireland). / EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups : A methodology report. In: RMD Open. 2017 ; Vol. 3, No. 2.
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abstract = "Objective T o describe the methodology used to develop new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIMs) and their major subgroups. Methods A n 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-ofitems approach criteria and (3) a classification-tree approach. Results T he approaches yielded several candidate models that were scrutinised with respect to statistical performance and clinical relevance. The probabilityscore 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.",
author = "{International Myositis Classification Criteria Project consortium, The Euromyositis register and The Juvenile Dermatomyositis Cohort Biomarker Study and Repository (JDRG) (UK and Ireland)} and Matteo Bottai and Anna Tj{\"a}rnlund and Giola Santoni and Werth, {Victoria P.} and Clarissa Pilkington and {De Visser}, Marianne and Lars Alfredsson and Amato, {Anthony A.} and Barohn, {Richard J.} and Liang, {Matthew H.} and Singh, {Jasvinder A.} and Rohit Aggarwal and Snjolaug Arnardottir and Hector Chinoy and Cooper, {Robert G.} and Katalin Danko and Dimachkie, {Mazen M.} and Feldman, {Brian M.} and {Garc{\'i}a-De La Torre}, Ignacio and Patrick Gordon and Taichi Hayashi and Katz, {James D.} and Hitoshi Kohsaka and Lachenbruch, {Peter A.} and Lang, {Bianca A.} and Yuhui Li and Oddis, {Chester V.} and Marzena Olesinka and Reed, {Ann M.} and Lidia Rutkowska-Sak and Helga Sanner and Albert Selva-O'Callaghan and Song, {Yeong Wook} and Jiri Vencovsky and Ytterberg, {Steven R} and Miller, {Frederick W.} and Rider, {Lisa G.} and Lundberg, {Ingrid E.} and Maria Amoruso and Helena Andersson and Nastaran Bayat and Bhansing, {Kavish J.} and Sara Bucher and Richard Champbell and Christina Charles-Schoeman and Vinay Chaudhry and Lisa Christopher-Stine and Lorinda Chung and Mary Cronin and Theresa Curry",
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TY - JOUR

T1 - EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups

T2 - A methodology report

AU - International Myositis Classification Criteria Project consortium, The Euromyositis register and The Juvenile Dermatomyositis Cohort Biomarker Study and Repository (JDRG) (UK and Ireland)

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 - Song, Yeong Wook

AU - Vencovsky, Jiri

AU - Ytterberg, Steven R

AU - Miller, Frederick W.

AU - Rider, Lisa G.

AU - Lundberg, Ingrid E.

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 - 2017/1/1

Y1 - 2017/1/1

N2 - Objective T o describe the methodology used to develop new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIMs) and their major subgroups. Methods A n 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-ofitems approach criteria and (3) a classification-tree approach. Results T he approaches yielded several candidate models that were scrutinised with respect to statistical performance and clinical relevance. The probabilityscore 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.

AB - Objective T o describe the methodology used to develop new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIMs) and their major subgroups. Methods A n 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-ofitems approach criteria and (3) a classification-tree approach. Results T he approaches yielded several candidate models that were scrutinised with respect to statistical performance and clinical relevance. The probabilityscore 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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U2 - 10.1136/rmdopen-2017-000507

DO - 10.1136/rmdopen-2017-000507

M3 - Review article

AN - SCOPUS:85049801528

VL - 3

JO - RMD Open

JF - RMD Open

SN - 2056-5933

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ER -