Identification of 6 dermatomyositis subgroups using principal component analysis-based cluster analysis.

ABSTRACT:

Objective

Dermatomyositis (DM) is a heterogeneous disease with a wide range of clinical manifestations. The aim of the present study was to identify the clinical subtypes of DM by applying cluster analysis.

Methods

We retrospectively reviewed the medical records of 720 DM patients and selected 21 variables for analysis, including clinical characteristics, laboratory findings, and comorbidities. Principal component analysis (PCA) was first conducted to transform the 21 variables into independent principal components. Patient classification was then performed using cluster analysis based on the PCA-transformed data. The relationships among the clinical variables were also assessed.

Results

We transformed the 21 clinical variables into nine independent principal componen

SUBMITTER: Zhu H 

PROVIDER: S-EPMC6771972 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature