Objectives: The objective of this study was to investigate the relationship between side asymmetry in nasal resistance (NR) and severity of the nasal airway obstruction (NAO) in patients with different types of nasal septal deformity (NSD).
Design: Computational fluid dynamics (CFD) study.
Setting: The study was conducted in a tertiary medical centre.
Participants: The study included 232 patients, who were referred to the CT examination of the paranasal sinuses. Exclusion criteria were sinonasal and respiratory diseases that may interfere with the nasal obstruction. The presence and the type of NSD were recorded according to the Mladina's classification.
Main outcome measures: The presence and severity of NAO in each patient were assessed by NOSE questionnaire. Eight computational models of the nasal cavity were created from CT scans. Models represented seven Mladina's NSD types and a straight septum of a symptomless patient. CFD calculated airflow partitioning and NR for each nasal passage. Side differences in NR were calculated by the equation ∆NR = NRleft - NRright . The relationship between NOSE scores, airflow partitioning and side differences in NR was explored using Spearman's correlation analysis.
Results: Mladina's types of NSD showed differences in airflow partitioning and the degree of side asymmetry in NR. A significant positive correlation was detected between side differences in NR and NOSE scores (R = .762, P = .028). A significant negative correlation was found between the per cent of unilateral airflow and NR (R = -.524, P = .037).
Conclusions: Our results demonstrated that side asymmetry in NR could explain differences in NAO severity related to the NSD type.
Keywords: NOSE scale; airflow partitioning; computational fluid dynamics; computer tomography; nasal airway obstruction; nasal resistance; nasal septal deformity.
© 2020 John Wiley & Sons Ltd.