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- Title
Phenotypic landscape of systemic lupus erythematosus: An analysis of the Kyoto Lupus Cohort.
- Authors
Takeshi Iwasaki; Hiroshi Doi; Hideaki Tsuji; Yuya Tabuchi; Motomu Hashimoto; Koji Kitagori; Shuji Akizuki; Kosaku Murakami; Ran Nakashima; Hajime Yoshifuji; Wataru Yamamoto; Masao Tanaka; Koichiro Ohmura; Akio Morinobu
- Abstract
Objectives: The present study aimed to clarify comprehensive relationships among the clinical variables of systemic lupus erythematosus (SLE). Methods: We retrospectively surveyed 32 clinical variables in 581 patients and conducted comprehensive association studies among SLE clinical phenotypes. A univariate analysis of all possible combinations was performed, and the results of phenotypic correlations were reduced into two dimensions. We also created a regression formula using L1 regularisation (LASSO) to calculate the probability of exhibiting each phenotype. Results: The univariate analysis identified 26 correlations, including multiple phenotypes with low complement. Some unpredicted correlations were identified, including fever and the anti-Sm antibody (odds ratio; OR=2.3, p=1.6 x 10--5) or thrombocytopenia and psychosis (OR=3.7, p=3.2 x 10--5). The multivariate analysis accurately estimated the probability of exhibiting each phenotype (area under the curve >0.7) in 10 out of 20 phenotypes. Conclusions: The present results show the phenotypic architecture of SLE and represent a model for estimating the probability of exhibiting each phenotype. They also offer insights into the pathology of SLE and estimating the probability of the onset of new phenotypes in clinical practice.
- Subjects
SYSTEMIC lupus erythematosus; PHENOTYPES; PRINCIPAL components analysis
- Publication
Modern Rheumatology, 2022, Vol 32, Issue 3, p571
- ISSN
1439-7595
- Publication type
Article
- DOI
10.1093/mr/roab020