Classification criteria of joint activity using joint index vector for patients with rheumatoid arthritis: An evaluation and verification
Authors' conclusion
JIV has been assessed and verified for its appropriateness, unbiased evaluation of the joints, and advantages in covering an unmet need in SDAI.
Study context
- Population
- Patients with rheumatoid arthritis (RA) monitored at the authors' institute; external validation in a big dataset of 11,013 RA patientsexternal dataset 11,013
- Participants
- 617 patients
- Comparison
- Remission (REM) vs low joint activity (LJA) vs moderate joint activity (MJA) vs high joint activity (HJA)
- Outcome
- JIV joint activity classification criteria (cut-offs of Vxy and Vz) and their validity against SDAI and HAQ-DI
Methodological detailssingle-institute development cohort, external validation in big dataset, ROC analysis
- Single-institute development cohort
- External validation in big dataset
- ROC analysis
Performance
As reported in the abstract
JIV activity classification and external validation
- Vxy correlated significantly with simplified disease activity index (SDAI) score
- p < 0.0001
Further findings
Large joint involvement
- Joint index vector (JIV) may pick up patients at risk of being missed by SDAI when large joints are involved
Original publication
Classification criteria of joint activity using joint index vector for patients with rheumatoid arthritis: An evaluation and verification. Semin Arthritis Rheum. Published 22 February 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →