Research Article

Predictors of Nasal Obstruction: Quantification and Assessment Using Multiple Grading Scales

Table 1

Summary of patient characteristics and association with NOSE score.

Percent total or mean ± SD
( = number of patients)
NOSE score
mean ± SD or Pearson’s
value, statistical test
‡ (one-way ANOVA)
† (Student’s -test)
(Pearson correlation) 
= statistical significance

Demographics
 Age (years) 52.1 ± 17.5 years
()
= 8.5 × 10−5
No or negligible relationship
= 0.8843,
 Gender (%)
  Male66.3% ()30.4 ± 22.5 = 0.1486, †
  Female33.7% ()35.2 ± 26.8
 BMI (kg/m2) 29.0 ± 6.8 kg/m2
()
= 0.0007
No or negligible relationship
= 0.6815,
 Ethnicity (%)
  Caucasian69.1% ()33.4 ± 24.5 = 0.2572, ‡
  Asian12.5% ()26.8 ± 23.5
  Hispanic7.1% ()25.2 ± 20.3
  Indian6.3% ()27.1 ± 19.0
  Black4.1% ()44.3 ± 29.9
  Pacific Islander0.83% ()27.5 ± 3.5

Medical history
 History of nasal trauma (%)
  Yes18.7% ()40.0 ± 23.6 = 0.0136, †
  No81.3% ()30.2 ± 23.9
 Prior nasal surgery (%)
  Yes22.5% ()36.3 ± 23.6 = 0.1421, †
  No77.5% () 30.8 ± 24.2
 Allergic rhinitis (%)
  Yes33.8% ()41.2 ± 25.8 < 0.0001, †
  No66.3% ()27.3 ± 21.8
 Nasal steroids (%)
  Yes14.6% ()41.5 ± 24.9 = 0.0108, †
  No85.4% ()30.4 ± 23.7
 Nasal antihistamines (%)
  Yes10.8% ()38.0 ± 25.0 = 0.1820, †
  No89.1% () 31.3 ± 23.9
 Oral antihistamines (%)
  Yes5.0% ()31.5 ± 23.8 = 0.1379, †
  No95.0% ()42.0 ± 28.8