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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
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.
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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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