Development and External Validation of a Multivariable Predictive Model for Progression to Difficult‐to‐Treat Rheumatoid Arthritis in Biologic‐Experienced Patients
Our model demonstrated moderate discrimination and calibration, highlighting the challenge in accurately predicting D2T-RA outcomes. These findings underscore the need for further research to improve predictive performance, potentially through the incorporation of additional biomarkers.
Authors
- Joel M. Kremer (ORCID: https://orcid.org/0000-0001-6674-9901)
- Michael E. Weinblatt (ORCID: https://orcid.org/0000-0001-5215-5512)
- Dimitrios A. Pappas (ORCID: https://orcid.org/0000-0001-8338-027X)
- Daniel H. Solomon (ORCID: https://orcid.org/0000-0001-8202-5428)
- Misti L. Paudel (ORCID: https://orcid.org/0000-0002-8361-0650)
- Heather J. Litman (ORCID: https://orcid.org/0000-0003-3511-4078)
- Nancy A. Shadick (ORCID: https://orcid.org/0000-0003-3953-845X)
- George Reed (ORCID: https://orcid.org/0000-0002-2463-4847)
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- University of Massachusetts Chan Medical School (US)
- Research Foundation for the State University of New York (US)
- Navitas Systems (United States) (US)
- Boston Sports & Shoulder Center (US)
- Columbia University (US)
Publication Details
- Journal
- Arthritis Care & Research
- Published
- 2025-09-22
- DOI
- https://doi.org/10.1002/acr.25654
- Citations
- 3
- Primary Topic
- Rheumatoid Arthritis Research and Therapies
- Type
- article
- Field-Weighted Citation Impact
- 5.00