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1.
001-es BibID:
BIBFORM073206
Első szerző:
Bottai, Matteo
Cím:
EULAR/ACR classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups : a methodology report / Matteo Bottai, Anna Tjärnlund, Giola Santoni, Victoria P. Werth, Clarissa Pilkington, Marianne de Visser, Lars Alfredsson, Anthony A. Amato, Richard J. Barohn, Matthew H. Liang, Jasvinder A. Singh, Rohit Aggarwal, Snjolaug Arnardottir, Hector Chinoy, Robert G. Cooper, Katalin Danko, Mazen M. Dimachkie, Brian M. Feldman, Ignacio García-De La Torre, Patrick Gordon, Taichi Hayashi, James D. Katz, Hitoshi Kohsaka, Peter A. Lachenbruch, Bianca A. Lang, Yuhui Li, Chester V. Oddis, Marzena Olesinka, Ann M. Reed, Lidia Rutkowska-Sak, Helga Sanner, Albert Selva-O'Callaghan, Yeong Wook Song, Jiri Vencovsky, Steven R. Ytterberg, Frederick W. Miller, Lisa G. Rider, Ingrid E. Lundberg, International Myositis Classification Criteria Project consortium, Euromyositis register and the Juvenile Dermatomyositis Cohort Biomarker Study and Repository
Dátum:
2017
ISSN:
2056-5933
Megjegyzések:
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
Tárgyszavak:
Orvostudományok
Klinikai orvostudományok
idegen nyelvű folyóiratközlemény külföldi lapban
autoimmune diseases
dermatomyositis
polymyositis
Megjelenés:
RMD Open. - 3 : 2 (2017), p. 1-10. -
További szerzők:
Tjärnlund, Anna
Santoni, Giola
Werth, Victoria P.
Pilkington, Clarissa
Visser, Marianne de
Alfredsson, Lars
Amato, Anthony A.
Barohn, Richard J.
Liang, Matthew H.
Singh, Jasvinder A.
Aggarwal, Rohit
Arnardottir, Snjolaug
Chinoy, Hector
Cooper, Robert G.
Dankó Katalin (1952-2021) (belgyógyász, allergológus és klinikai immunológus)
Dimachkie, Mazen M.
Feldman, Brian M.
Torre, Ignacio García-De la
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
Song, Yeong Wook
Vencovsky, Jiri
Ytterberg, Steven R.
Miller, Frederick W.
Rider, Lisa G.
Lundberg, Ingrid
International Myositis Classification Criteria Project consortium
Euromyositis register and the Juvenile Dermatomyositis Cohort Biomarker Study and Repository
Internet cím:
Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:
2.
001-es BibID:
BIBFORM073201
Első szerző:
Lundberg, Ingrid
Cím:
2017 European League Against Rheumatism/American College of Rheumatology Classification Criteria for Adult and Juvenile Idiopathic Inflammatory Myopathies and Their Major Subgroups / Ingrid E. Lundberg, Anna Tjärnlund, Matteo Bottai, Victoria P. Werth, Clarissa Pilkington, Marianne de Visser, Lars Alfredsson, Anthony A. Amato, Richard J. Barohn, Matthew H. Liang, Jasvinder A. Singh, Rohit Aggarwal, Snjolaug Arnardottir, Hector Chinoy, Robert G. Cooper, Katalin Danko, Mazen M. Dimachkie, Brian M. Feldman, Ignacio Garcia-De La Torre, Patrick Gordon, Taichi Hayashi, James D. Katz, Hitoshi Kohsaka, Peter A. Lachenbruch, Bianca A. Lang, Yuhui Li, Chester V. Oddis, Marzena Olesinska, Ann M. Reed, Lidia Rutkowska-Sak, Helga Sanner, Albert Selva-O'Callaghan, Yeong-Wook Song, Jiri Vencovsky, Steven R. Ytterberg, Frederick W. Miller, Lisa G. Rider, International Myositis Classification Criteria Project Consortium, Euromyositis Register and the Juvenile Dermatomyositis Cohort Biomarker Study and Repository
Dátum:
2017
ISSN:
2326-5191
Megjegyzések:
OBJECTIVE:To develop and validate new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIM) and their major subgroups.METHODS:Candidate variables were assembled from published criteria and expert opinion using consensus methodology. Data were collected from 47 rheumatology, dermatology, neurology, and pediatric clinics worldwide. Several statistical methods were utilized to derive the classification criteria.RESULTS:Based on data from 976 IIM patients (74% adults; 26% children) and 624 non-IIM patients with mimicking conditions (82% adults; 18% children), new criteria were derived. Each item is assigned a weighted score. The total score corresponds to a probability of having IIM. Subclassification is performed using a classification tree. A probability cutoff of 55%, corresponding to a score of 5.5 (6.7 with muscle biopsy) "probable IIM," had best sensitivity/specificity (87%/82% without biopsies, 93%/88% with biopsies) and is recommended as a minimum to classify a patient as having IIM. A probability of ?90%, corresponding to a score of ?7.5 (?8.7 with muscle biopsy), corresponds to "definite IIM." A probability of <50%, corresponding to a score of <5.3 (<6.5 with muscle biopsy), rules out IIM, leaving a probability of ?50-<55% as "possible IIM."CONCLUSION:The European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria for IIM have been endorsed by international rheumatology, dermatology, neurology, and pediatric groups. They employ easily accessible and operationally defined elements, and have been partially validated. They allow classification of "definite," "probable," and "possible" IIM, in addition to the major subgroups of IIM, including juvenile IIM. They generally perform better than existing criteria.
Tárgyszavak:
Orvostudományok
Klinikai orvostudományok
idegen nyelvű folyóiratközlemény külföldi lapban
Megjelenés:
Arthritis & Rheumatology 69 : 12 (2017), p. 2271-2282. -
További szerzők:
Tjärnlund, Anna
Bottai, Matteo
Werth, Victoria P.
Pilkington, Clarissa
Visser, Marianne de
Alfredsson, Lars
Amato, Anthony A.
Barohn, Richard J.
Liang, Matthew H.
Singh, Jasvinder A.
Aggarwal, Rohit
Arnardottir, Snjolaug
Chinoy, Hector
Cooper, Robert G.
Dankó Katalin (1952-2021) (belgyógyász, allergológus és klinikai immunológus)
Dimachkie, Mazen M.
Feldman, Brian M.
Torre, Ignacio García-De la
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
Song, Yeong Wook
Vencovsky, Jiri
Ytterberg, Steven R.
Miller, Frederick W.
Rider, Lisa G.
International Myositis Classification Criteria Project consortium
Euromyositis register and the Juvenile Dermatomyositis Cohort Biomarker Study and Repository
Internet cím:
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:
3.
001-es BibID:
BIBFORM073202
035-os BibID:
(WoS)000417061500008 (Scopus)85037677819
Első szerző:
Lundberg, Ingrid
Cím:
2017 European League Against Rheumatism/American College of Rheumatology classification criteria for adult and juvenile idiopathic inflammatory myopathies and their major subgroups / Ingrid E. Lundberg, Anna Tjärnlund, Matteo Bottai, Victoria P. Werth, Clarissa Pilkington, Marianne de Visser, Lars Alfredsson, Anthony A. Amato, Richard J. Barohn, Matthew H. Liang, Jasvinder A. Singh, Rohit Aggarwal, Snjolaug Arnardottir, Hector Chinoy, Robert G. Cooper, Katalin Dankó, Mazen M. Dimachkie, Brian M. Feldman, Ignacio Garcia-De La Torre, Patrick Gordon, Taichi Hayashi, James D. Katz, Hitoshi Kohsaka, Peter A. Lachenbruch, Bianca A. Lang, Yuhui Li, Chester V. Oddis, Marzena Olesinska, Ann M. Reed, Lidia Rutkowska-Sak, Helga Sanner, Albert Selva-O'Callaghan, Yeong-Wook Song, Jiri Vencovsky, Steven R. Ytterberg, Frederick W. Miller, Lisa G. Rider, International Myositis Classification Criteria Project consortium, Euromyositis register and The Juvenile Dermatomyositis Cohort Biomarker Study and Repository
Dátum:
2017
ISSN:
0003-4967
Megjegyzések:
OBJECTIVE:To develop and validate new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIM) and their major subgroups.METHODS:Candidate variables were assembled from published criteria and expert opinion using consensus methodology. Data were collected from 47 rheumatology, dermatology, neurology and paediatric clinics worldwide. Several statistical methods were used to derive the classification criteria.RESULTS:Based on data from 976 IIM patients (74% adults; 26% children) and 624 non-IIM patients with mimicking conditions (82% adults; 18% children), new criteria were derived. Each item is assigned a weighted score. The total score corresponds to a probability of having IIM. Subclassification is performed using a classification tree. A probability cut-off of 55%, corresponding to a score of 5.5 (6.7 with muscle biopsy) 'probable IIM', had best sensitivity/specificity (87%/82% without biopsies, 93%/88% with biopsies) and is recommended as a minimum to classify a patient as having IIM. A probability of ?90%, corresponding to a score of ?7.5 (?8.7 with muscle biopsy), corresponds to 'definite IIM'. A probability of <50%, corresponding to a score of <5.3 (<6.5 with muscle biopsy), rules out IIM, leaving a probability of ?50?to <55% as 'possible IIM'.CONCLUSIONS:The European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria for IIM have been endorsed by international rheumatology, dermatology, neurology and paediatric groups. They employ easily accessible and operationally defined elements, and have been partially validated. They allow classification of 'definite', 'probable' and 'possible' IIM, in addition to the major subgroups of IIM, including juvenile IIM. They generally perform better than existing criteria.
Tárgyszavak:
Orvostudományok
Klinikai orvostudományok
idegen nyelvű folyóiratközlemény külföldi lapban
autoimmune disease
dermatomyositis
polymyositis
Megjelenés:
Annals of The Rheumatic Diseases. - 76 : 12 (2017), p. 1955-1964. -
További szerzők:
Tjärnlund, Anna
Bottai, Matteo
Werth, Victoria P.
Pilkington, Clarissa
Visser, Marianne de
Alfredsson, Lars
Amato, Anthony A.
Barohn, Richard J.
Liang, Matthew H.
Singh, Jasvinder A.
Aggarwal, Rohit
Arnardottir, Snjolaug
Chinoy, Hector
Cooper, Robert G.
Dankó Katalin (1952-2021) (belgyógyász, allergológus és klinikai immunológus)
Dimachkie, Mazen M.
Feldman, Brian M.
Torre, Ignacio García-De la
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
Song, Yeong Wook
Vencovsky, Jiri
Ytterberg, Steven R.
Miller, Frederick W.
Rider, Lisa G.
International Myositis Classification Criteria Project consortium
Euromyositis register and the Juvenile Dermatomyositis Cohort Biomarker Study and Repository
Internet cím:
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:
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