Acoustic rhinometry findings in XXXX with mild sleep apnea.

@entity1 @entity2023 @entity27 @entity56 @entity19833
BACKGROUND: Nasal obstruction may contribute to the development of @entity27 ( @entity27 ). Acoustic rhinometry (AR) measures nasal patency and congestion, which are useful parameters in objectively evaluating nasal obstruction. The nasal obstruction produced by @entity2023 may contribute to the development of @entity27 and can be easily assessed with AR. OBJECTIVE: This study was undertaken to assess the degree of nasal obstruction seen in @entity56 @entity1 with and without @entity27 . STUDY DESIGN AND SETTING: This study was a retrospective data analysis from a tertiary referral center. The AR data from 10 @entity1 with and 40 @entity1 without mild @entity27 were compared. RESULTS: The mean congestion factors at the first cross-sectional area (CSA1) on the AR graph were found to be significantly higher in the @entity27 group than in the non- @entity27 group (P = 0.03). The classification of change in congestion factors demonstrated significant differences at CSA1, @entity19833 , and CSA3 and in volume (t distributions <0.001, 0.0312, <0.001, and <0.001, respectively). The non- @entity27 @entity1 noted a significant subjective improvement in nasal congestion after topical nasal decongestion, whereas the @entity27 @entity1 did not (P <or= 0.0001 and 0.064, respectively). CONCLUSION: Although the role of nasal obstruction in @entity27 is controversial, our study lends evidence to the thought that the nasal obstruction associated with @entity2023 is associated with the presence of mild @entity27 . SIGNIFICANCE: Whether @entity2023 is a direct cause of @entity27 is debatable, but we have shown that greater nasal congestion is related to the presence of @entity27 in a population of @entity1 with @entity2023 .
