Table 4.
Logistic regression analysis realized on non-CV subpopulation (upper panel) and on CV OSAH subpopulation in order to determine independent predictors of an optimal CPAP observance (at least 5 h/night at 5 months of treatment) after full adjustment.
| OR | 95% CI | P-value | |
|---|---|---|---|
| VARIABLES IN THE MODEL (NON-CV PATIENTS) | |||
| Ref <60 y | 1 | - | |
| Age 60–70 y | 2.67 | 1.28–5.47 | <0.01 |
| Age >70 y | 2.89 | 1.13–7.37 | <0.03 |
| Max. auto-CPAP (+1 cm H2O) | 1.22 | 1.03–1.46 | <0.03 |
| VARIABLES IN THE MODEL (CV PATIENTS) | |||
| Ref <60 y | 1 | - | |
| Age 60–70 y | 2.45 | 0.93–6.60 | 0.07 |
| Age >70 y | 2.61 | 0.93–6.67 | 0.07 |
| Max. auto-CPAP (+1 cm H2O) | 1.19 | 0.96–1.46 | 0.11 |
CPAP, continuous positive airway pressure; CV, cardiovascular; OSAH, obstructive sleep apnea/hypopnea.