Juvenile dermatomyositis: Latest advances

被引:40
|
作者
Wu, Qiong [1 ]
Wedderburn, Lucy R. [1 ,2 ,3 ]
McCann, Liza J. [4 ]
机构
[1] UCL, Infect Inflammat & Rheumatol Sect, Great Ormond St Inst Child Hlth, 30 Guilford St, London WC1N 1EH, England
[2] Great Ormond St Hosp Children NHS Fdn Trust, Paediat Rheumatol Dept, Great Ormond St, London WC1N 3JH, England
[3] Great Ormond St Hosp Sick Children, NIHR Biomed Res Ctr, Great Ormond St, London WC1N 3JH, England
[4] Alder Hey Childrens NHS Fdn Trust, Paediat Rheumatol Dept, Eaton Rd, Liverpool L12 2AP, Merseyside, England
来源
关键词
Juvenile dermatomyositis; Idiopathic inflammatory myopathy; Immunogenetics; Myositis autoantibodies; Immunohistopathology; Biomarkers; Treatments; Outcome measurement tools; Registries; RHEUMATOLOGY RESEARCH ALLIANCE; IDIOPATHIC INFLAMMATORY MYOPATHIES; CUTANEOUS ASSESSMENT-TOOL; CLINICALLY INACTIVE DISEASE; MYOSITIS ASSESSMENT SCALE; TERM-FOLLOW-UP; CHILDHOOD ARTHRITIS; AUTOANTIBODY PHENOTYPES; PROGNOSTIC-FACTORS; NATIONAL REGISTRY;
D O I
10.1016/j.berh.2017.12.003
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Registries and biobanks for juvenile dermatomyositis (JDM) have generated statistical power to help understand pathogenesis and determine treatment and long-term outcomes in this rare and heterogeneous disease. Genotype, autoantibodies, muscle histology and early clinical features may predict prognosis and guide personalised treatment. While corticosteroids and disease-modifying anti-rheumatic drugs improve outcomes, there remain children who experience refractory disease. Ongoing research into the aberrant immune response and novel biological targets is necessary. Best practice guidelines promote prompt stepwise treatment, and there is growing appreciation of the role of exercise in improving prognosis. Validated tools standardise assessment of disease activity and damage in musculoskeletal, mucocutaneous, pulmonary, cardiac, gastrointestinal and endocrine systems. Recently, an internationally agreed dataset for JDM has been defined for clinical practice and incorporation into registries. In the future, with bigger datasets, statistical models may guide stratification for personalised medicine and discern the most relevant outcome markers for research. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:535 / 557
页数:23
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