ArticleFrontiers in surgery2026
Development and validation of a nomogram based on LASSO regression for predicting early postoperative polyp recurrence in patients with chronic rhinosinusitis with nasal polyps.
Article in Frontiers in surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Chronic rhinosinusitis with nasal polyps (CRSwNP) has a high early postoperative recurrence rate, and precise individualized prediction tools are currently lacking. Objective: To construct and validate a nomogram model based on commonly used clinical indicators to predict the risk of early postoperative polyp recurrence in patients with CRSwNP. Methods: A retrospective cohort study design was adopted. A total of 260 and 114 patients with CRSwNP who underwent endoscopic sinus surgery in our hospital from January 2021 to April 2025 were selected as the training cohort and internal validation cohort, respectively. The training cohort was divided into a recurrence group and a non-recurrence group according to recurrence status within 6 months. In addition, 242 patients from Wenzhou People's Hospital were included as the external validation cohort. Independent influencing factors were screened using LASSO regression and multivariate logistic regression, and a nomogram prediction model was constructed. The model performance was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis. Results: Asthma, stage 3 sinusitis, Lund-Mackay score, eosinophils (EOS), and immunoglobulin E (IgE) were independent risk factors for early postoperative recurrence ( Conclusion: The nomogram model has certain predictive performance, can identify patients at high risk of early postoperative polyp recurrence in CRSwNP, and has the potential to serve as an important auxiliary tool for individualized postoperative clinical management.
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