Development and validation of a predictive nomogram for osteoporosis in patients with psoriasis - Takeaways - MDSpire

Development and validation of a predictive nomogram for osteoporosis in patients with psoriasis

  • By

  • Zhilong Wang

  • Zhiyou Zhou

  • Ruichen Jiang

  • Haoning Ma

  • Yanzhu Shen

  • Xiangsheng Tang

  • Ping Yi

  • Yi Li

  • Zihan Wei

  • July 10, 2026

  • 0 min

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  • 1

    A nomogram was developed to predict osteoporosis risk in psoriasis patients, incorporating both traditional and psoriasis-specific risk factors.

  • 2

    The study included 639 psoriasis patients, with an overall osteoporosis prevalence of 11.7% identified through DXA T-scores.

  • 3

    Six independent risk factors for osteoporosis were identified: advanced age, disease duration, psoriatic arthritis, vitamin D deficiency, corticosteroid use, and male sex.

  • 4

    The nomogram demonstrated good discrimination with AUC values of 0.824 in the training set and 0.771 in the validation set.

  • 5

    Calibration curves indicated excellent agreement between predicted and observed probabilities, confirming the model's clinical utility.

Original Source(s)

Development and validation of a predictive nomogram for osteoporosis in patients with psoriasis

  • by Zhilong Wang, Zhiyou Zhou, Ruichen Jiang, Haoning Ma, Yanzhu Shen, Xiangsheng Tang, Ping Yi, Yi Li, Zihan Wei

  • July 10, 2026

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