Abstract:Objective To investigate the factors influencing the recurrence of chronic rhinosinusitis with nasal polyps after endoscopic sinus surgery and construct related prediction model. Methods One hundred seventy-two patients suffering from chronic rhinosinusitis with nasal polyps surgically treated under endoscope in our department from Jan 2017 to Dec 2017 were selected as the research objects. Based on whether the chronic rhinosinusitis with nasal polyps recurred within 1 year after surgery, 48 patients with recurrence were included in the recurrent group, and 124 patients without recurrence in the nonrecurrent group. Single-factor and multi-factor logistic regression analyses were performed on the clinical data of both groups, and the prediction model was established. The receiver operation characteristic (ROC) curve was used to detect its discrimination, and the goodness of fit test was used to evaluate its calibration. Eighty patients suffering from chronic rhinosinusitis with nasal polyps surgically treated under endoscope in our department from Jan 2019 to July 2019 were selected for clinical verification of the prediction model. Results The single-factor analysis showed that the differences in patients' age, sinusitis type, asthma, operation time, and self-rating anxiety scale (SAS) score between the two groups were all statistically significant (all P<0.05). Multivariate logistic regression analysis indicated that patients' age, sinusitis type, asthma, operation time, SAS score were correlated with postoperative recurrence (all P<0.05). The probability prediction model of recurrence after endoscopic sinus surgery of the area under the curve (AUC) of the model was 0.936. The clinical validation of the model showed that the sensitivity was 85.00% and the specificity was 93.33% with the prediction accuracy of 91.25%. Conclusions Patients' age, type of sinusitis, asthma, operation time, and SAS score are the influencing factors for the recurrence of chronic rhinosinusitis with nasal polyps after endoscopic sinus surgery. The model constructed on various risk factors can effectively predict the probability of recurrence after surgery.