ORIGINAL RESEARCH article

Front. Surg.

Sec. Otorhinolaryngology - Head and Neck Surgery

Volume 12 - 2025 | doi: 10.3389/fsurg.2025.1581417

Development and validation of a nomogram model for the prediction of recurrence after endoscopic sinus surgery in patients with chronic rhinosinusitis with nasal polyps

Provisionally accepted
Ruiying  MaRuiying MaZhibin  LuZhibin Lu*Jianguang  ZhuJianguang ZhuYundong  BaiYundong BaiXuyan  WangXuyan Wang
  • The 82nd group army hospital of the Chinese people’s Liberation Army, Baoding, China

The final, formatted version of the article will be published soon.

Objective: To analyze the factors influencing recurrence after endoscopic sinus surgery (ESS) in patients with chronic rhinosinusitis with nasal polyps (CRSwNP). A nomogram model for risk prediction was constructed and validated.Methods: Retrospective analysis of clinical data of 460 patients with chronic sinusitis and nasal polyps at the 82nd Group Military Hospital of the People's Liberation Army of China from January 2020 to May 2022. Randomly divide into training set (n=322) and validation set (n=138) in a 7:3 ratio. Divide the training set into a Recurrence group or a Non-recurrence group based on whether the patient relapses within one year after surgery. Analysis the risk factors of postoperative recurrence in patients and draw a risk prediction nomogram model.Results: Gastroesophageal reflux disease (GERD), bronchial asthma, sinusitis type, allergic rhinitis, eosinophil count, neutrophil count, lymphocyte count, and total sinus score were independent risk factors for postoperative recurrence in CRSwNP patients (P<0.05). The Nomogram model constructed based on the above factors was validated, and the results showed that the C-indices of the training set and validation set are 0.935 and 0.923, respectively. The internal validation receiver operating characteristic (ROC) curve of area under the curve (AUC) was 0.948; The external validation set AUC is 0.932. The decision curve shows a higher net benefit value when the threshold probability is between 5% and 100%.Conclusions: The predictive nomogram model constructed in this article has high recognition efficiency.

Keywords: Endoscopic sinus surgery, Recurrence, chronic rhinosinusitis with nasal polyps, Nomogram model, Risk factors

Received: 22 Feb 2025; Accepted: 08 Apr 2025.

Copyright: © 2025 Ma, Lu, Zhu, Bai and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Zhibin Lu, The 82nd group army hospital of the Chinese people’s Liberation Army, Baoding, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Research integrity at Frontiers

94% of researchers rate our articles as excellent or good

Learn more about the work of our research integrity team to safeguard the quality of each article we publish.


Find out more