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EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5687535/ https://www.ncbi.nlm.nih.gov/pubmed/29177080 http://dx.doi.org/10.1136/rmdopen-2017-000507 |
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author | Bottai, Matteo Tjärnlund, Anna Santoni, Giola Werth, Victoria P Pilkington, Clarissa de Visser, Marianne Alfredsson, Lars Amato, Anthony A Barohn, Richard J Liang, Matthew H Singh, Jasvinder A Aggarwal, Rohit Arnardottir, Snjolaug Chinoy, Hector Cooper, Robert G Danko, Katalin Dimachkie, Mazen M Feldman, Brian M García-De La Torre, Ignacio 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 Wook Song, Yeong Vencovsky, Jiri Ytterberg, Steven R Miller, Frederick W Rider, Lisa G Lundberg, Ingrid E |
author_facet | Bottai, Matteo Tjärnlund, Anna Santoni, Giola Werth, Victoria P Pilkington, Clarissa de Visser, Marianne Alfredsson, Lars Amato, Anthony A Barohn, Richard J Liang, Matthew H Singh, Jasvinder A Aggarwal, Rohit Arnardottir, Snjolaug Chinoy, Hector Cooper, Robert G Danko, Katalin Dimachkie, Mazen M Feldman, Brian M García-De La Torre, Ignacio 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 Wook Song, Yeong Vencovsky, Jiri Ytterberg, Steven R Miller, Frederick W Rider, Lisa G Lundberg, Ingrid E |
author_sort | Bottai, Matteo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5687535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56875352017-11-24 EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report Bottai, Matteo Tjärnlund, Anna Santoni, Giola Werth, Victoria P Pilkington, Clarissa de Visser, Marianne Alfredsson, Lars Amato, Anthony A Barohn, Richard J Liang, Matthew H Singh, Jasvinder A Aggarwal, Rohit Arnardottir, Snjolaug Chinoy, Hector Cooper, Robert G Danko, Katalin Dimachkie, Mazen M Feldman, Brian M García-De La Torre, Ignacio 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 Wook Song, Yeong Vencovsky, Jiri Ytterberg, Steven R Miller, Frederick W Rider, Lisa G Lundberg, Ingrid E RMD Open Connective Tissue Diseases 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. BMJ Publishing Group 2017-11-14 /pmc/articles/PMC5687535/ /pubmed/29177080 http://dx.doi.org/10.1136/rmdopen-2017-000507 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Connective Tissue Diseases Bottai, Matteo Tjärnlund, Anna Santoni, Giola Werth, Victoria P Pilkington, Clarissa de Visser, Marianne Alfredsson, Lars Amato, Anthony A Barohn, Richard J Liang, Matthew H Singh, Jasvinder A Aggarwal, Rohit Arnardottir, Snjolaug Chinoy, Hector Cooper, Robert G Danko, Katalin Dimachkie, Mazen M Feldman, Brian M García-De La Torre, Ignacio 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 Wook Song, Yeong Vencovsky, Jiri Ytterberg, Steven R Miller, Frederick W Rider, Lisa G Lundberg, Ingrid E EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report |
title | EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report |
title_full | EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report |
title_fullStr | EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report |
title_full_unstemmed | EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report |
title_short | EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report |
title_sort | eular/acr classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups: a methodology report |
topic | Connective Tissue Diseases |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5687535/ https://www.ncbi.nlm.nih.gov/pubmed/29177080 http://dx.doi.org/10.1136/rmdopen-2017-000507 |
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