Symptom-Based Cluster Analysis Categorizes Sjogren's Disease Subtypes: An International Cohort Study Highlighting Disease Severity and Treatment Discordance.

ABSTRACT:

Objective

Although symptom relief is a critical aspect for successful drug development in Sjögren's disease, patient experiences with Sjögren's-related symptoms are understudied. Our objective was to determine how pain, dryness, and fatigue, the cardinal symptoms of Sjögren's disease, drive cluster phenotypes.

Methods

We used data from the Sjögren's International Collaborative Clinical Alliance (SICCA) Registry and a Sjögren's Foundation survey. We performed hierarchical clustering of symptoms by levels of dryness, fatigue, and pain. Using international and US cohorts, we performed multiple logistic regression analysis to compare the clusters, which included comparisons of differences in symptoms, quality of life (QoL), medication use, and systemic manifestations.

Results

SUBMITTER: McCoy SS 

PROVIDER: S-EPMC9427679 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature