Table 5. Univariate and multivariate linear regression analyses evaluating independent predictors for AHI changes (n=74)

Variables	Univariate analysis		Multivariate analysis
	B (95% CI)	p-value	B (95% CI)	p-value
Surgical treatment (+)	–7.59 (–21.82 to 6.65)	0.292	–3.12 (–17.68 to 11.44)	0.67
Age (yr)	0.58 (0.01 to 1.16)	0.048*	0.47 (–0.13 to 1.07)	0.123
Time interval (months)	0.29 (0.13 to 0.45)	0.001†	0.28 (0.12 to 0.44)	0.001†
Baseline BMI (kg/m2)	–1.85 (–3.12 to –0.59)	0.005†	–1.18 (–2.54 to 0.18)	0.088
Baseline AHI (/hr)	–0.56 (–0.77 to –0.36)	<0.001‡	–0.49 (–0.72 to –0.27)	<0.001‡

p<0.05,
p<0.01,
p<0.001.
Variables with p<0.20 in the univariate analysis (Baseline BMI, Baseline AHI, and Follow-up duration) and clinically significant factors (surgical treatment and age) were included in the multivariate model to identify independent predictors of ΔAHI.
AHI: apnea-hypopnea index, B: unstandardized coefficient, CI: confidence interval, BMI: body mass index.