Development and validation of a nomogram based on LASSO regression for predicting early postoperative polyp recurrence in patients with chronic rhinosinusitis with nasal polyps - Takeaways - MDSpire

Development and validation of a nomogram based on LASSO regression for predicting early postoperative polyp recurrence in patients with chronic rhinosinusitis with nasal polyps

  • By

  • Hanshuang Zhang

  • Huizhen Zheng

  • Siqi Wang

  • Shile Xu

  • July 14, 2026

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  • 1

    A nomogram model was developed to predict early postoperative polyp recurrence in patients with chronic rhinosinusitis with nasal polyps.

  • 2

    The study included 374 patients, divided into training, internal validation, and external validation cohorts for model assessment.

  • 3

    Independent risk factors identified for early recurrence included asthma, stage 3 sinusitis, Lund-Mackay score, eosinophils, and immunoglobulin E.

  • 4

    The model demonstrated good predictive performance with AUCs of 0.923, 0.881, and 0.890 across the training, internal, and external cohorts.

  • 5

    The nomogram provides a practical tool for individualized postoperative management by identifying high-risk patients for recurrence.

Original Source(s)

Development and validation of a nomogram based on LASSO regression for predicting early postoperative polyp recurrence in patients with chronic rhinosinusitis with nasal polyps

  • by Hanshuang Zhang, Huizhen Zheng, Siqi Wang, Shile Xu

  • July 14, 2026

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