Creation and assessment of a nomogram for predicting osteoporosis risk among individuals with rheumatoid arthritis - Summary - MDSpire

Creation and assessment of a nomogram for predicting osteoporosis risk among individuals with rheumatoid arthritis

  • By

  • Lujing Wang

  • Yueting Gu

  • Xiaochun Zhang

  • Xinglan Bao

  • Yan Chen

  • Hongjian Yuan

  • April 29, 2026

  • 0 min

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Objective:

To develop and validate a practical risk prediction nomogram for osteoporosis in patients with rheumatoid arthritis (RA).

Key Findings:
  • Independent predictors of osteoporosis included female sex, higher HAQ-DI, elevated ALP, increased ApoA1/ApoB ratio, higher FFA, and lower BMI.
  • The nomogram achieved AUROCs of 0.812 (training) and 0.788 (validation).
  • Good calibration was demonstrated (Hosmer–Lemeshow p > 0.05).
  • Nomogram-based risk strata effectively discriminated osteoporosis risk with significant odds ratios.
Interpretation:

The nomogram shows good discrimination, calibration, and clinical utility for identifying RA patients at elevated risk of osteoporosis, aiding in targeted screening and early intervention.

Limitations:
  • Model performance in diverse populations remains untested.
  • Prospective multicenter external validation is necessary before clinical application.
Conclusion:

The proposed nomogram is a promising tool for predicting osteoporosis risk in RA patients, but further validation is required.

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