Evaluation of ultrasound-based predictive models for disease relapse in rheumatoid arthritis patients in clinical remission.

ABSTRACT:

Background

Patients with rheumatoid arthritis (RA) in clinical remission face a high risk of relapse, while existing prediction models primarily rely on clinical indicators and lack imaging support. Although musculoskeletal ultrasound can effectively detect synovitis, current scanning protocols are limited by strong heterogeneity and operational complexity. This study aims to develop and validate a simplified ultrasound-clinical combined model for predicting relapse in RA patients during clinical remission.

Methods

This prospective cohort study enrolled RA patients in clinical remission from a single center between August 2022 and August 2024. Participants underwent comprehensive clinical and ultrasound assessments (36 joints and 36 tendons) at baseline. Disease relapse was

SUBMITTER: Wang T 

PROVIDER: S-EPMC12780622 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature