Table 5.

Univariable and multivariable logistic regression for assessing predictors for detection accuracy.

	Univariable Logistic Regression		Multivariable Logistic Regression
	OR (95% CI)	P	OR (95% CI)	P
Sex	0.476 (0.244–0.930)	.030	0.646 (0.291–1.434)	.283
Baseline arousal index ≥ 45	2.155 (1.025–4.533)	.043	N/A	N/A
Titration arousal index ≥ 15	2.687 (1.373–5.260)	.004	2.274 (1.049–4.931)	.037
Large leak > 1.5%	2.224 (1.115–4.436)	.023	1.515 (0.677–3.392)	.312
Percentage of unstable breathing	1.144 (1.084–1.207)	< .001	1.126 (1.067–1.188)	< .001

Baseline arousal index and titration arousal index was highly correlated (r = .446, P < .001), and the measure with a stronger statistical association on univariable analysis was used for the multivariable analysis. CI = confidence interval, N/A = not applicable, OR = odds ratio.