. Author manuscript; available in PMC: 2016 Oct 1.

Published in final edited form as: Sleep Med. 2015 Jul 17;16(10):1198–1203. doi: 10.1016/j.sleep.2015.07.003

Table 4.

Multivariable modeling results.

Stroke Location	OSA Prevalence^a				AHI^b
	Unadjusted		Adjusted^c		Unadjusted		Adjusted^c
	OR (95% CI)	p- value	OR (95% CI)	p- value	Parameter Estimate (95% CI)	p- value	Parameter Estimate (95% CI)	p- value
Posterior circulation	0.97 (0.29, 3.25)	0.97	1.60 (0.40, 6.44)	0.51	0.10 (−0.39, 0.60)	0.68	0.17 (−0.30, 0.64)	0.48
Anterior circulation	1.73 (0.50, 5.97)	0.39	1.10 (0.26, 4.61)	0.89	0.20 (−0.34, 0.73)	0.48	0.22 (−0.31, 0.75)	0.41
Subcortical/lacunar	0.33 (0.08, 1.30)	0.11	0.52 (0.12, 2.24)	0.38	−0.34 (−0.82, 0.13)	0.16	−0.33 (−0.79, 0.13)	0.16
Supratentorial	2.14 (0.61, 7.52)	0.24	1.46 (0.34, 6.25)	0.61	0.18 (0.39, 0.75)	0.54	0.16 (−0.39, 0.72)	0.57
Infratentorial	0.37 (0.10, 1.33)	0.13	0.61 (0.14, 2.71)	0.51	−0.16 (−0.74, 0.43)	0.60	−0.14 (−0.71, 0.43)	0.64
Potential motor pathways	0.56 (0.14, 2.21)	0.40	0.79 (0.18, 3.49)	0.75	−0.23 (−0.74, 0.29)	0.39	−0.09 (−0.60, 0.42)	0.73

Shown are odds ratio (95% confidence interval) or parameter estimate (95% confidence interval). AHI: apnea-hypopnea index; CI: confidence interval; OR: odds ratio; OSA: obstructive sleep apnea.

Logistic regression was used to model the outcome of OSA prevalence.

Negative binomial regression was used to model the AHI.

The following characteristics were used as covariates in the multivariable modeling: neck circumference and body mass index.