Predictive factors related to progression toward rheumatoid arthritis in Korean patients with undifferentiated arthritis

You Jung Ha, Yong Beom Park, Myoung Kyun Son, Sang Youn Jung, Kwang Hoon Lee, Soo Kon Lee

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Some patients with undifferentiated arthritis (UA) experience spontaneous remission; however, onethird of patients progress to rheumatoid arthritis (RA) in the final process of the disease. This study evaluated clinical variables in order to find a prediction model that could predict the development of RA in patients with UA. The medical records of 164 patients, who were initially diagnosed with undifferentiated arthritis in Yonsei University Medical Center from January 2004 to December 2007, were retrospectively reviewed. They were followed up for at least 6 months. The clinical variables related to the development of RA were identified by univariate analyses. Using logistic regression analysis, the prediction model was made and the diagnostic performance of the model was evaluated. Thirty-two patients of the 164 total patients progressed to RA during the follow-up period. The prediction model was composed of clinical factors including the duration of morning stiffness, the number of tender joints, the number of swollen joints, C-reactive protein level, rheumatoid factor, anti-cyclic citrullinated peptide antibody, and erosive change on baseline X-ray. The prediction score ranged from 0 to 10. All of the patients with a higher prediction score greater than five experienced RA progression. The area under the curve value for the prediction rule was 0.976. The prediction model could predict progression to RA in patients with UA. It especially helps the clinician to decide on a management plan for patients with a high prediction score.

Original languageEnglish
Pages (from-to)1555-1561
Number of pages7
JournalRheumatology International
Issue number6
Publication statusPublished - 2012 Jun

Bibliographical note

Funding Information:
Acknowledgments This study was supported by a grant of the Korea Healthcare Technology R&D Project, Ministry of Health and Welfare, Republic of Korea (A102065).

All Science Journal Classification (ASJC) codes

  • Immunology and Allergy
  • Rheumatology
  • Immunology


Dive into the research topics of 'Predictive factors related to progression toward rheumatoid arthritis in Korean patients with undifferentiated arthritis'. Together they form a unique fingerprint.

Cite this