Latent class analysis identifies distinct pain phenotypes in newly diagnosed systemic juvenile idiopathic arthritis.

ABSTRACT:

Background

Patients with systemic juvenile idiopathic arthritis (sJIA) exhibit highly heterogeneous pain manifestations, which significantly impact their quality of life and disease prognosis. An understanding of the pain phenotypes for this disorder and their influencing factors is crucial for individualized pain management.

Objective

To explore the pain phenotypes of newly diagnosed sJIA patients via latent class analysis (LCA), analyse the influencing factors of these phenotypes, and evaluate the impacts of different pain phenotypes on short-term inpatient outcomes.

Methods

A retrospective cohort study was conducted by collecting the electronic health records of 165 patients who were first diagnosed with sJIA at the Children's Hospital of Chongqing Medical Universi

SUBMITTER: Zhang H 

PROVIDER: S-EPMC11956179 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature