Analysis of influencing factors on secondary olfactory dysfunction in different types of chronic sinusitis.
10.13201/j.issn.2096-7993.2025.08.003
- Author:
Lingyan HAN
1
;
Junhao WANG
2
;
Xiaofeng QIAO
1
Author Information
1. The Otolaryngology Head and Neck Surgery Department of Shanxi Provincial People's Hospital，Shanxi Medical University，Taiyuan，030001，China.
2. The Neurosurgery Department of Shanxi Provincial People's Hospital，Shanxi Medical University.
- Publication Type:Journal Article
- Keywords:
cells;
nomograms;
sinusitis;
smell;
tomography
- MeSH:
Humans;
Sinusitis/complications*;
Chronic Disease;
Retrospective Studies;
Olfaction Disorders/etiology*;
Nasal Polyps/complications*;
Rhinitis/complications*;
Female;
Male;
Logistic Models;
Middle Aged;
Smell;
Adult;
ROC Curve;
Nomograms;
Eosinophils;
Tomography, X-Ray Computed
- From:
Journal of Clinical Otorhinolaryngology Head and Neck Surgery
2025;39(8):703-716
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the influencing factors related to olfactory dysfunction secondary to different types of chronic rhinosinusitis（CRS）. Methods:A retrospective analysis was conducted on 185 CRS patients treated at the Department of Otolaryngology-Head and Neck Surgery of Shanxi Provincial People's Hospital from July 2023 to July 2024. Based on the presence or absence of nasal polyps, CRS was divided into two groups: chronic rhinosinusitis with nasal polyps（CRSwNP） and chronic rhinosinusitis without nasal polyps（CRSsNP）. Further, based on whether olfactory dysfunction was present, the CRSwNP and CRSsNP groups were divided into subgroups with olfactory dysfunction and normal olfaction. General data, laboratory tests, and modified sinus CT scores were compared between the subgroups. Logistic regression analysis was conducted to identify independent influencing factors based on the results of univariate analysis combined with clinical significance, and two nomogram models were established. The area under the curve of the receiver operating characteristic（ROC） curve, calibration curves, and decision curve analysis were used to assess the diagnostic performance, calibration, and clinical utility of the predictive model. Results:The proportion of blood eosinophils, blood urea nitrogen, and total modified CT scores of the bilateral olfactory region were identified as independent influencing factors in the CRSwNP group; the proportion of blood monocytes and modified CT scores of the bilateral posterior region were independent influencing factors in the CRSsNP group. The nomogram prediction model showed good diagnostic performance, calibration, and clinical utility in both the CRSwNP and CRSsNP groups. Conclusion:Olfactory dysfunction in CRSwNP patients is closely related to the proportion of blood eosinophils, blood urea nitrogen, and total modified CT scores of the bilateral olfactory region, while olfactory dysfunction in CRSsNP patients is closely related to the proportion of blood monocytes and modified CT scores of the bilateral posterior region. Moreover, the predictive model established in this study demonstrates good clinical performance and can be used for early identification and risk prediction of olfactory dysfunction secondary to CRS.
