
Identification of 4 subgroups in juvenile dermatomyositis by principal component analysis-based cluster analysis
Author(s) -
Junmei Zhang,
Yuan Xue,
Xuanyi Liu,
Weiying Kuang,
Xiaohua Tan,
Chao Li,
Caifeng Li
Publication year - 2022
Publication title -
clinical and experimental rheumatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.184
H-Index - 95
eISSN - 1593-098X
pISSN - 0392-856X
DOI - 10.55563/clinexprheumatol/t2hxjd
Subject(s) - juvenile dermatomyositis , medicine , dermatomyositis , autoantibody , myositis , cluster (spacecraft) , immunology , antibody , computer science , programming language
Juvenile dermatomyositis (JDM) is an autoimmune disease characterised by a great heterogeneity in its clinical manifestations. In this study, we aimed to investigate the association between different clinical subtypes, laboratory data, and myositis antibodies of JDM.