Integrating clinical features, inflammatory markers, and immune profiles: a Yunke-based nomogram model for rheumatoid arthritis prognosis
This first multifactorial nomogram for Yunke-combined therapy integrates joint assessments, serum biomarkers, cytokine profiles, and cellular immunity indicators. Demonstrated predictive accuracy (30.5% training; 29.7% validation response rates) supports its potential for therapeutic monitoring. While internally validated, multicenter studies are required to confirm generalizability. The model establishes a framework for precision RA management, with implications for dose optimization and resistance mechanism research.
Authors
- Zengyu Cheng (ORCID: https://orcid.org/0000-0001-5543-1113)
- Fuzeng Zheng
- Yihao Li (ORCID: https://orcid.org/0009-0007-8207-524X)
- Lin Wang (ORCID: https://orcid.org/0000-0001-5171-2663)
- Zhen Wang (ORCID: https://orcid.org/0000-0002-9368-6149)
- Jingjing Zhao (ORCID: https://orcid.org/0009-0009-8831-0436)
Institutions
- Henan University of Traditional Chinese Medicine (CN)
- Zhengzhou City Hospital (CN)
- First Affiliated Hospital of Henan University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-06-30
- DOI
- https://doi.org/10.3389/fmed.2025.1617957
- Primary Topic
- Rheumatoid Arthritis Research and Therapies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China