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. 2018 Dec 17;42(3):zsy256. doi: 10.1093/sleep/zsy256

Table 6.

Hierarchical regression analyses testing the association between vigilance, EEG slow waves, and OSA severity on acute OSA (N = 24)

Dependent variable Models Predictors β 95% CI for B p valuea Adj. R2 ΔR2
PVT Lapses in acute OSA Model 1 Age −0.30 −0.35, 0.07 0.18 0.03
Sex −0.02 −5.92, 5.42 0.93
BMI 0.24 −0.17, 0.47 0.34
Model 2: Model 1 + one EEG metric ΔSWAK −0.46 −1.63, −0.11 0.03 0.17 0.20*
KC Density 0.21 −0.66, 1.80 0.34 0.03 0.04
%SWA −0.39 −0.58, 0.02 0.06 0.15 0.15
Model 3: Model 1 + AHI3A AHI3A 0.55 0.04, 0.21 0.01 0.31 0.28*
Change in PVT Lapsesb Model 4 Age −0.30 −0.29, 0.06 0.19 −0.02
Sex −0.06 −5.22, 4.16 0.82
BMI −0.09 −0.31, 0.22 0.73
Model 5: Model 4 + change in one EEG metric Change in ΔSWAK −0.59 −1.64, −0.29 <0.01 0.27 0.29**
Change in KC Density 0.32 −0.41, 2.5 0.15 0.04 0.09
Change in %SWA −0.01 −0.25, 0.24 0.97 −0.07 0.00
Model 6: Model 4 + change in AHI3A Change in AHI3A 0.55 0.03, 0.17 0.01 0.24 0.27*

95% CIs are shown for the unstandardized regression coefficient B and not β. ΔSWAK: change in relative frontal slow-wave activity (1–4 Hz) 1 second pre- to post-stage N2 K-complex; KC Density: number of stage N2 K-complexes per minute of stage N2 sleep time; %SWA: relative frontal slow-wave activity (0.5–4 Hz) during NREM sleep; ΔR2: change in R2 from the model with covariates only. Significant change in ΔR2 is highlighted in bold.

a p value for each predictor.

bChange in PVT Lapses (likewise EEG metrics and AHI3A) is defined as PVT Lapses on CPAP withdrawal (acute OSA) minus PVT Lapses on CPAP (treated OSA)

*p < 0.05; **p < 0.01.