Table 4.
Logistic regression analysis for the predisposing factors associated with FTMH
| Simple regression | Multiple regression | |||||
|---|---|---|---|---|---|---|
| OR | 95% CI | p value | OR | 95% CI | p value | |
| Age, years | 0.997 | 0.964–1.031 | 0.86 | 0.971 | 0.888–1.062 | 0.53 |
| Sex | ||||||
| Female | 1 (reference) | 1 (reference) | ||||
| Male | 0.856 | 0.438–1.673 | 0.65 | 0.275 | 0.049–1.528 | 0.14 |
| AXL, mm | 1.237 | 0.832–1.839 | 0.24 | 1.073 | 0.539–2.138 | 0.84 |
| FBW, µm | 1.014 | 1.008–1.020 | <0.001 | 1.021 | 1.010–1.033 | <0.001 |
| CFT, µm | 1.009 | 0.996–1.022 | 0.16 | |||
| CST, µm | 0.997 | 0.984–1.010 | 0.62 | |||
| CSV, µm3 | 0.002 | 0.001–6,554.66 | 0.42 | |||
| RAT (per 0.01) | 0.793 | 0.735–0.862 | <0.001 | 0.749 | 0.655–0.853 | <0.001 |
Data are presented as mean ± standard deviation.
AXL, axial length; FBW, foveal base width; CFT, central foveal thickness; CST, central subfield thickness; CSV, central subfield volume; RAT, retinal artery trajectory.
A value of p < 0.05 was taken as statistically significant.