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

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Fältnamn	Indikatorer	Metadata
000		05139naa a2200793 4500
001		oai:DiVA.org:su-160295
003		SwePub
008		180917s2017 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
009		oai:prod.swepub.kib.ki.se:229177080
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1602952 URI
024	7	a https://doi.org/10.1136/rmdopen-2017-0005072 DOI
024	7	a http://kipublications.ki.se/Default.aspx?queryparsed=id:2291770802 URI
040		a (SwePub)sud (SwePub)ki
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Bottai, Matteou Karolinska Institutet4 aut
245	1 0	a EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups :b a methodology report
264		c 2017-11-14
264	1	b BMJ,c 2017
338		a print2 rdacarrier
520		a 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.
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Reumatologi och inflammation0 (SwePub)302102 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Rheumatology and Autoimmunity0 (SwePub)302102 hsv//eng
700	1	a Tjärnlund, Anna4 aut
700	1	a Santoni, Giolau Karolinska Institutet,Stockholms universitet,Centrum för forskning om äldre och åldrande (ARC), (tills m KI)4 aut
700	1	a Werth, Victoria P.4 aut
700	1	a Pilkington, Clarissa4 aut
700	1	a de Visser, Marianne4 aut
700	1	a Alfredsson, Larsu Karolinska Institutet4 aut
700	1	a Amato, Anthony A.4 aut
700	1	a Barohn, Richard J.4 aut
700	1	a Liang, Matthew H.4 aut
700	1	a Singh, Jasvinder A.u Karolinska Institutet4 aut
700	1	a Aggarwal, Rohit4 aut
700	1	a Arnardottir, Snjolaug4 aut
700	1	a Chinoy, Hector4 aut
700	1	a Cooper, Robert G.4 aut
700	1	a Danko, Katalin4 aut
700	1	a Dimachkie, Mazen M.4 aut
700	1	a Feldman, Brian M.4 aut
700	1	a García-De La Torre, Ignacio4 aut
700	1	a Gordon, Patrick4 aut
700	1	a Hayashi, Taichi4 aut
700	1	a Katz, James D.4 aut
700	1	a Kohsaka, Hitoshi4 aut
700	1	a Lachenbruch, Peter A.4 aut
700	1	a Lang, Bianca A.4 aut
700	1	a Li, Yuhui4 aut
700	1	a Oddis, Chester V.4 aut
700	1	a Olesinka, Marzena4 aut
700	1	a Reed, Ann M.4 aut
700	1	a Rutkowska-Sak, Lidia4 aut
700	1	a Sanner, Helga4 aut
700	1	a Selva-O'Callaghan, Albert4 aut
700	1	a Song, Yeong Wook4 aut
700	1	a Vencovsky, Jiri4 aut
700	1	a Ytterberg, Steven R.4 aut
700	1	a Miller, Frederick W.4 aut
700	1	a Rider, Lisa G.4 aut
700	1	a Lundberg, Ingrid E.u Karolinska Institutet4 aut
710	2	a Karolinska Institutetb Centrum för forskning om äldre och åldrande (ARC), (tills m KI)4 org
773	0	t RMD Opend : BMJg 3:2q 3:2x 2056-5933
856	4	u https://doi.org/10.1136/rmdopen-2017-000507y Fulltext
856	4	u https://rmdopen.bmj.com/content/rmdopen/3/2/e000507.full.pdf
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-160295
856	4 8	u https://doi.org/10.1136/rmdopen-2017-000507
856	4 8	u http://kipublications.ki.se/Default.aspx?queryparsed=id:229177080

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MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Rheumatology and ...

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