A predictive model for progression to clinical arthritis in at-risk individuals with arthralgia based on lymphocyte subsets and ACPA
We propose a predictive model based on baseline levels of lymphocyte subpopulations and ACPA to identify individuals with arthralgia with the highest risk of progression to clinical arthritis. The final model includes T cells and NK cells, which are involved in the pathogenesis of RA. This preliminary model requires further validation in larger at-risk cohorts.
Authors
- Nikola Kaspříková (ORCID: https://orcid.org/0000-0002-4334-5047)
- Olga Kryštůfková (ORCID: https://orcid.org/0000-0001-6059-6246)
- Hana Hulejová (ORCID: https://orcid.org/0000-0002-2335-6996)
- Ladislav Šenolt (ORCID: https://orcid.org/0000-0001-5500-7312)
- Mária Filková (ORCID: https://orcid.org/0000-0002-8488-9227)
- Petra Hánová (ORCID: https://orcid.org/0000-0003-4473-9766)
- Jiří Vencovský (ORCID: https://orcid.org/0000-0002-0851-0713)
- Klára Prajzlerová (ORCID: https://orcid.org/0000-0002-1814-6249)
- Nora Růžičková
Institutions
- Charles University (CZ)
- Prague University of Economics and Business (CZ)
- Institute of Rheumatology (CZ)
Publication Details
- Journal
- Lara D. Veeken
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1093/rheumatology/keae383
- Citations
- 4
- Primary Topic
- Rheumatoid Arthritis Research and Therapies
- Type
- article
- Field-Weighted Citation Impact
- 1.88