Latent class analysis identifies distinct pain phenotypes in newly diagnosed systemic juvenile idiopathic arthritis
Authors' conclusion
Pain in sJIA patients can be classified into three distinct phenotypes, which are influenced by factors such as age and IL-10 levels.
Study context
- Population
- Patients first diagnosed with systemic juvenile idiopathic arthritis (sJIA), Children's Hospital of Chongqing Medical University, January 2018 to July 2024
- Participants
- 165 participants
- Exposure
- Class 1 vs Class 2 vs Class 3
- Outcome
- Pain phenotypes identified by latent class analysis (LCA)
Methodological detailslatent class analysis, multivariate logistic regression, single-centre
- Latent class analysis
- Multivariate logistic regression
- Single-centre
Main finding
As reported in the abstract
Pain phenotypes (proportion of patients)
Observational data: associations, not effects.
Further findings
Factors influencing pain phenotypes
- Age
- P = 0.023
- Serum IL-10 levels
- P = 0.047
Inpatient outcomes by pain phenotype
- Significant differences among pain phenotypes in hospital stay duration, intrahospital department transfer rates and pain status at discharge
Original publication
Latent class analysis identifies distinct pain phenotypes in newly diagnosed systemic juvenile idiopathic arthritis. Arthritis Res Ther. Published 31 March 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →