Clinical Report: Creation and assessment of a predictive nomogram for osteoporosis risk in individuals with psoriasis
Overview
This study developed and validated a nomogram to predict osteoporosis risk in psoriasis patients, identifying six independent risk factors.
Background
Psoriasis is a chronic inflammatory disease linked to an increased risk of osteoporosis, yet practical tools for risk identification are limited. Osteoporosis can lead to significant morbidity and healthcare costs.
Data Highlights
Parameter
Value
Overall prevalence of osteoporosis
11.7% (75/639)
AUC in training set
0.824
AUC in validation set
0.771
Key Findings
Identified six independent risk factors for osteoporosis: advanced age, disease duration, psoriatic arthritis, vitamin D deficiency, systemic corticosteroid use, and male sex.
Osteoporosis prevalence among the studied psoriasis patients was 11.7%.
The nomogram showed an AUC of 0.824 in the training set and 0.771 in the validation set.
Calibration curves showed agreement between predicted and observed probabilities.
Decision curve analysis confirmed the utility of the nomogram.
Clinical Implications
The nomogram provides a tool for clinicians to identify psoriasis patients at high risk for osteoporosis.
Conclusion
The developed nomogram integrates psoriasis-specific and traditional risk factors to predict osteoporosis risk.
Recognizing sustained switches between the two diseases can prevent premature discontinuation of effective biologics and point toward Janus kinase inhibitors, a 148-patient cohort suggests.
