Inferior Turbinate Size and CPAP Titration Based Treatment Pressures: No Association Found among Patients Who Have Not Had Nasal Surgery

Table 2

Results of statistical tests for patient variables versus CPAP prescription pressures. Spearman’s rank correlation coefficient () was used for continuous data measures; one-way ANOVA was used to evaluate ordinal and nominal data. A multivariate model was developed with Standard Least Squares Linear Regression using factors identified as significant on univariate analysis: AHI, BMI, LSAT, NOSE, and ODI ( observations, , ); parameter estimates and standard errors are shown.

Variables versus CPAP		Correlation coefficient	Univariate statistical test, value	Multivariate analysis: Standard Least Squares Linear Regression Model
			Spearman’s rank correlation	estimate	Standard error	value
Age (years)	45	0.29	0.058	Not included
AHI (events/hr)	44	0.60	0.000005	0.10	0.04	0.0131
BMI (kg/m^2)	45	0.42	0.0036	0.13	0.05	0.0233
LSAT (percent)	42	−0.47	0.0017	−0.05	0.06	0.3804
NOSE Score (scaled 0–100)	45	−0.30	0.048	−0.006	0.018	0.7449
ODI (events/hr)	20	0.62	0.0038	−0.085279	0.036548	0.0340
			One-way ANOVA
Inferior turbinate size (1–4)	45	N/A	Right turbinate: 0.2012	Not included
			Left turbinate: 0.3064	Not included
Nasal septal deviation (1–4)	40	N/A	0.4979	Not included
Mask type: nasal versus oronasal	38	N/A	0.5136	Not included

Statistically significant ( value < 0.05). AHI = apnea-hypopnea index; BMI = body mass index; CPAP = continuous positive airway pressure; LSAT = lowest oxygen saturation; NOSE Score = Nasal Obstruction Symptom Evaluation Scale score; and ODI = oxygen desaturation index.