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
Clinical Scorecard: Creation and assessment of a nomogram for predicting osteoporosis risk among individuals with rheumatoid arthritis
At a Glance
Category Detail
Condition Osteoporosis in patients with rheumatoid arthritis Key Mechanisms Increased inflammation and metabolic dysfunction leading to impaired bone metabolism Target Population Individuals with rheumatoid arthritis Care Setting Single-center clinical setting
Key Highlights
Developed a nomogram incorporating clinical and laboratory predictors for osteoporosis risk in RA patients. Independent predictors include female sex, HAQ-DI, elevated ALP, ApoA1/ApoB ratio, FFA, and lower BMI. Nomogram demonstrated good discrimination (AUROC 0.812 training, 0.788 validation) and calibration. Identified risk strata (low/medium/high) for osteoporosis in RA patients. Highlights the need for early screening and intervention in RA patients to prevent osteoporosis. Guideline-Based Recommendations
Diagnosis
Use dual-energy X-ray absorptiometry (DXA) for measuring bone mineral density. Management
Implement targeted screening based on nomogram results to identify high-risk RA patients. Monitoring & Follow-up
Regularly assess osteoporosis risk factors and bone mineral density in RA patients. Risks
Increased risk of fractures, disability, and mortality associated with osteoporosis in RA. Patient & Prescribing Data
Patients diagnosed with rheumatoid arthritis, particularly those with additional risk factors for osteoporosis.
Consider integrating clinical and laboratory measures for osteoporosis risk assessment in RA management.
Clinical Best Practices
Utilize the nomogram for osteoporosis risk stratification in RA patients. Encourage early intervention strategies for patients identified at high risk of osteoporosis. References
