Table 6.
Logistic regression analysis realized on non-CV subpopulation and on CV OSAH subpopulation in order to determine independent predictors of an optimal CPAP observance (at least 5 h/night at 3 years 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 | 1.89 | 1.02–3.49 | <0.05 |
| Age >70 y | 1.65 | 0.74–3.72 | 0.22 |
| Diabetes (Yes) | 0.36 | 0.19–0.71 | <0.01 |
| VARIABLES IN THE MODEL (CV PATIENTS) | |||
| Ref <60 y | 1 | - | |
| Age 60–70 y | 1.06 | 0.43–2.61 | 0.89 |
| Age >70 y | 0.85 | 0.36–2.04 | 0.72 |
| Diabetes (Yes) | 1.19 | 0.44–2.21 | 0.99 |
CPAP, continuous positive airway pressure; CV, cardiovascular; OSAH, obstructive sleep apnea/hypopnea.