Risk Model Establishment of Endoscopic Sinus Surgery for Patients with Chronic Rhinosinusitis:a Multicenter Study in Korea
10.3346/jkms.2021.36.e264
- Author:
Jin-Young MIN
1
;
Yong Min KIM
;
Dae Woo KIM
;
Jeong-Whun KIM
;
Jin Kook KIM
;
Ji-Hun MO
;
Jae-Min SHIN
;
Kyu-Sup CHO
;
Sanggyu KWAK
;
Seung-Heon SHIN
Author Information
1. Department of Otolaryngology-Head and Neck Surgery, School of Medicine, Kyung Hee University, Seoul, Korea
- Publication Type:Original Article
- From:Journal of Korean Medical Science
2021;36(40):e264-
- CountryRepublic of Korea
- Language:English
-
Abstract:
Background:Endoscopic sinus surgery (ESS) is the mainstay treatment for refractory chronic rhinosinusitis (CRS). Since various factors may contribute to the surgical outcome, it is challenging for physicians to predict surgical outcomes. The aim of study was to analyze the prognostic factors of postoperative outcomes and to establish the prediction model with the risk factors that impact the postoperative outcomes.
Methods:Medical records of CRS patients who underwent ESS at 9 institutions in 2005, 2010, and 2016 were retrospectively reviewed. We classified the patients into 2 groups based on postoperative objective endoscopic outcomes. Demographics, nose-specific symptoms, olfactory function, eosinophil counts in blood (EoB) and nasal tissue (EoT), and LundMackay CT score (LMS) were collected. Univariate and multivariate analyses were performed and established a prediction equation for postoperative endoscopic objective outcomes.
Results:In total (n = 1,249), 27.0% were not satisfied under postoperative endoscopic examination. Of 10 variables, LMS (> 5), sinus dominancy (maxillary sinus and ethmoid sinus), EoB (> 210), and EoT (> 100) were statistically significant in univariate analysis (P < 0.05, all). In multivariate analysis, EoT (> 100) and LMS (> 5) were significantly associated with poor postoperative outcome. Furthermore, 5 significant variables were employed to establish the risk model of postoperative outcomes and P (the value of prediction probability) = 1 / (1 + exp [−0.392 + 1.088 × EoT (> 100) + 0.123 × mean LMS (> 5) − 0.366 × sinus dominancy (maxillary) + 0.064 × sinus dominancy (similar) + 0.200 × EoB (4%) + 0.344 × EoB (> 210)] was developed.
Conclusion:Tissue eosinophil count and radiographic severity predispose to a poorer outcome of ESS and the risk model established may be helpful to predict postoperative outcomes of ESS.
