Lymphocyte subset phenotyping for the prediction of progression to inflammatory arthritis in anti-citrullinated-peptide antibody-positive at-risk individuals
Authors' conclusion
Overall, progression was predicted by specific LS, suggesting potential triggers for events leading to the development of IA, while rapid progression was associated with a different set of subsets.
Study context
- Population
- ACPA-positive at-risk individuals with a new musculoskeletal complaint
- Participants
- 210 individuals
- Outcome
- Progression to inflammatory arthritis (development of clinical synovitis)
- Follow-up
- Over 10 years
Methodological detailslogistic/Cox regressions, unsupervised hierarchical clustering
- logistic/Cox regressions
- Unsupervised hierarchical clustering
Main finding
As reported in the abstract
Progression to IA; prediction by lymphocyte subsets
- Progressed to inflammatory arthritis (IA)
- 93 (44%)
- Lymphocyte subsets (LS) associated with progression
- 5/18
- Treg/CD4-naïve/inflammation-related cells (IRC) associated with progression
- adjusted P < 0.0001
- CD8 associated with progression
- P = 0.021
- B-reg associated with progression
- P = 0.015
- Cluster enriched in progressors
- 63/109(58%)
- Cluster poor in progressors
- 10/45(22%)
- Combined clinical + LS forward logistic regression, accuracy
- 85.7%
- Combined clinical + LS forward logistic regression, AUC
- 0.911
Observational data: associations, not effects.
Further findings
Rapid progression (within 12 months)
- Rapid progressors
- 41/93 (44%)
- Cox regression model (smoking/RF and IRC/CD4-naive/Treg/NK-cells/CD8+T cells), AUC
- 0.794
Original publication
Lymphocyte subset phenotyping for the prediction of progression to inflammatory arthritis in anti-citrullinated-peptide antibody-positive at-risk individuals. Rheumatology (Oxford). Published 7 September 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →