## 3 Results
The multivariate analysis also highlighted the fact that the AHI in conjunction with the area of the optic disk are good predictors of the SAS severity: model 2 shows that approximately 24% of patients with severe SAS had higher scores of the optic disk size area associated with lower AHI scores (Table 2):  
\[\text{y}=0.003-0.002\text{ AHI}+2.819\text{ DISCRE}-1.842\text{ DISCLE}\]  
Figure 3: ROC Curve. Severe SAS dependent variable. Predictor of optic disk area. DISC RE and DISC LE represent the disc area measured by ocular computer tomography on each eye separately (right eye and left eye). Depending on the sleep apnea syndrome, the average level of the C/D (cup/disc) _ratio_ of the studied eye was higher in moderate obstructive SAS and the lowest in mild obstructive SAS (0.64 vs. 2.43; \(p\) = 0.001). The multivariate analysis did not show a signifycant change in the C/D ratio due to age and type of apnea (R square = 0.50; \(p\) = 0.127). All measurements of disc area and cup / disc ratio were performed automatically by ocular computer tomography. The regression line validates the indirect correlation of the C/D ratio with age and the _direct correlation with the severity of SAS_: y = 1.17 \(-\) 0.001 Age + 0.056 SAS. Dry eye. Schirmer score was significantly lower in patients with glaucoma and SAS, a statistically significant score (12.64 vs. 14.18; \(p\) = 0.004). AHI/ha recorded an average level higher in patients with dry-eye syndrome and SAS (\(p\) = 0.05). The patients with dry eyes did not have topical antiglaucoma medication treatment what could influence. Corneal biomechanics in SAS. Comparing the two groups of Glaucoma + SAS vs. Glaucoma--SAS, the following preliminary statistical results were found in both eyes: The IOP level was significantly lower in the Glaucoma + SAS group (16.58 vs. 18.19; \(p\) = 0.05) in the study eye. The PIOc (Corneal Compensated Intraocular Pressure) level was significantly lower in the Glaucoma + SAS group in the study eye (17.40 vs. 20.48; \(p\) = 0.006). The PIOg (Goldmann correlated PIO value) (level was significantly lower in Glaucoma + SAS group in both studied eyes (16.30 vs. 18.52; \(p\) = 0.014). The CH (Corneal Hysteresis) level was significantly higher in the Glaucoma + SAS group in the left eye (10.49 vs. 9.24; \(p\) = 0.004). The average levels of CRF (corneal resistance factor) did not significantly differ depending on the presence or absence of SAS in the study eye (10.13 vs. 10.65; \(p\) = 0.249). The mean levels of CCT (central corneal thickness) did not signifyantly differ depending on the presence or absence of SAS in the study eye (551 vs. 556; \(p\) = 0.554). However, the mean levels of the PIO, PIOc, PIOg, CH, CRF, CCT parameters did not differ in the study eye, either in the groups with glaucoma and SAS, or in the groups of glaucoma without SAS (\(p\) > 0.05). The multivariate analysis did not find any significant predictors among age, BMI, SAS, and AHI for the CH dependent variable. Thus, it was revealed that age and BMI were good predictors of CRF for the studied eyes: model 2 shows that approximately _15% of older patients with a higher level of BMI generate higher scores of CRF_ (R square = 15.1, \(p\) = 0.02) (Table 3). \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{**Model**} & \multirow{2}{*}{**R**} & \multirow{2}{*}{**Adjusted R Square**} & \multirow{2}{*}{**Std. Err. of the Estimate**} & \multicolumn{5}{c}{**Change Statistics**} \\ \cline{4-9}  & & & & & **R Square** & \multirow{2}{*}{**dF1**} & \multirow{2}{*}{**df2**} & **Sig. F** \\  & & & & & & **Change** & & **Change** \\ \hline
1 & 0.115  & 0.013 & \(-\)0.004 & 1.25 & 0.013 & 0.766 & 1 & 57 & 0.385 \\
2 & 0.490  & 0.241 & 0.199 & 1.117 & 0.227 & 8.23 & 2 & 55 & 0.001 \\
3 & 0.557  & 0.311 & 0.246 & 1.084 & 0.07 & 2.693 & 2 & 53 & 0.077 \\
4 & 0.572  & 0.328 & 0.235 & 1.091 & 0.017 & 0.645 & 2 & 51 & 0.529 \\
5 & 0.589  & 0.347 & 0.227 & 1.097 & 0.019 & 0.724 & 2 & 49 & 0.49 \\ \hline \hline \end{tabular}
\end{table}