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Table 3 Multiple linear regression analysis to predict the potential variables for positive airway pressure level.

From: Role of rhinomanometry in the prediction of therapeutic positive airway pressure for obstructive sleep apnea

Variables

B

β

95% CI

P Value

Sex

−0.74

− 0.20

−2.11 – 0.64

0.280

Age, years

0.002

0.01

− 0.04 – 0.05

0.927

BMI, kg/m2

0.29

0.73

0.09–0.48

0.006

AHI, events/hr

0.01

0.17

−0.01 – 0.03

0.235

Neck circumference, cm

−0.06

−0.11

− 0.33 – 0.21

0.639

Tonsil size

−0.23

−0.05

−1.54 – 1.09

0.726

MMS

0.11

0.04

−0.68 – 0.90

0.774

SupineNR75

1.52

0.19

−0.49 – 3.52

0.133

SupineNR150

2.65

0.31

0.003–5.29

0.044

  1. BMI body mass index, AHI apnea-hypopnea index, MMS Modified Mallampati score, SupineNR75, SupineNR150 nasal resistance in the supine position at 75 and 150 pascal