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Table 2 Linear regression for perioperative overnight oximetry using a linear fixed effects model

From: Perioperative adherence to continuous positive airway pressure and its effect on postoperative nocturnal hypoxemia in obstructive sleep apnea patients: a prospective cohort study

Variable

Parameter estimate

SEM

T-statistic

P-value

Mean SpO2

 Intercept

92.98

1.6

58.17

< 0.0001

 CPAP Adherence

0.54

0.78

0.69

0.49

 N1 vs. Pre-op

1.13

0.495

2.27

0.025

 N2 vs. Pre-op

1.12

0.56

3.01

0.076

 O2 therapy

1.69

0.561

3.01

0.003

Minimum SpO2

 Intercept

84.45

9.6

8.8

< 0.0001

 CPAP Adherence

2.15

4.7

0.46

0.65

 N1 vs. Pre-op

−2.04

2.98

−0.69

0.49

 N2 vs. Pre-op

−7.45

3.76

−1.98

0.0497

 O2 therapy

−6.17

3.37

−1.83

0.070

ODI

 Intercept

18.75

6.63

2.83

0.0055

 CPAP Adherence

−11.8

3.55

−3.33

0.0011

 N1 vs. Pre-op

−7.96

2.32

−3.44

0.0008

 N2 vs. Pre-op

−4.51

3.49

−1.29

0.19

 CPAP adherence × N1

9.14

2.81

3.25

0.0015

 CPAP adherence × N2

4.4

2.88

1.53

0.13

 O2 therapy

−0.78

2.56

−0.3

0.76

CT90

 Intercept

2.95

13.53

0.22

0.83

 CPAP Adherence

−0.35

6.62

−0.05

0.96

 N1 vs. Pre-op

0.22

4.22

0.05

0.96

 N2 vs. Pre-op

0.083

5.3

0.02

0.99

 O2 therapy

−4.53

4.75

−0.95

0.34

  1. Statistical analysis using linear fixed effects model where the time-varying covariate CPAP adherence only utilizes within-subject variation. By definition the time invariant covariates are assumed stable over time, and thus are removed from consideration. Abbreviations: CPAP continuous positive airway pressure, ODI oxygen desaturation index, CT90 cumulative time percentage with SpO2 < 90%, N1 postoperative night 1, N2 postoperative night 2, SEM standard error of the mean.