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Three Clinical Clusters Identified through Hierarchical Cluster Analysis Using Initial Laboratory Findings in Korean Patients with Systemic Lupus Erythematosus

Authors
 Ju-Yang Jung  ;  Hyun-Young Lee  ;  Eunyoung Lee  ;  Hyoun-Ah Kim  ;  Dukyong Yoon  ;  Chang-Hee Suh 
Citation
 JOURNAL OF CLINICAL MEDICINE, Vol.11(9) : 2406, 2022-04 
Journal Title
JOURNAL OF CLINICAL MEDICINE
Issue Date
2022-04
Keywords
classification ; cluster analysis ; laboratory ; linear discriminant analysis ; systemic lupus erythematosus
Abstract
Systemic lupus erythematosus (SLE) is a heterogeneous disorder with diverse clinical manifestations. This study classified patients by combining laboratory values at SLE diagnosis via hierarchical cluster analysis. Linear discriminant analysis was performed to construct a model for predicting clusters. Cluster analysis using data from 389 patients with SLE yielded three clusters with different laboratory characteristics. Cluster 1 had the youngest age at diagnosis and showed significantly lower lymphocyte and platelet counts and hemoglobin and complement levels and the highest erythrocyte sedimentation rate (ESR) and anti-double-stranded DNA (dsDNA) antibody level. Cluster 2 showed higher white blood cell (WBC), lymphocyte, and platelet counts and lower ESR and anti-dsDNA antibody level. Cluster 3 showed the highest anti-nuclear antibody titer and lower WBC and lymphocyte counts. Within approximately 171 months, Cluster 1 showed higher SLE Disease Activity Index scores and number of cumulative manifestations, including malar rash, alopecia, arthritis, and renal disease, than did Clusters 2 and 3. However, the damage index and mortality rate did not differ significantly between them. In conclusion, the cluster analysis using the initial laboratory findings of the patients with SLE identified three clusters. While disease activities, organ involvements, and management patterns differed between the clusters, damages and mortalities did not.
Files in This Item:
T202203095.pdf Download
DOI
10.3390/jcm11092406
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
Yonsei Authors
Yoon, Dukyong(윤덕용)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/191360
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