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1.
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
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