Table 3.
Results of multivariate logistic regression analysis.
| Variable | SVC | DVC | IVC | ||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95%CI | P | OR | 95%CI | P | OR | 95%CI | P | |
| FAZ-area (FA) | 0.633 | 0.427–0.937 | 0.022 | 0.233 | 0.082–0.659 | 0.006 | 0.454 | 0.191–1.082 | 0.075 |
| FAZ-circularity (FC) | 2.244 | 0.106–47.561 | 0.604 | 30.259 | 0.630–1453.895 | 0.084 | 1.46 | 0.048–44.625 | 0.828 |
| FAZ-axial-ratio (FAR) | 1.045 | 0.842–1.297 | 0.692 | 9.079 | 0.423–194.899 | 0.159 | 10.904 | 0.450–264.002 | 0.142 |
| FAZ-roundness (FR) | 0.98 | 0.954–1.006 | 0.126 | 0.939 | 0.875–1.009 | 0.085 | 0.923 | 0.847–1.006 | 0.067 |
| FAZ-solidity (FS) | 0.029 | 0.000–321.385 | 0.456 | 37190.185 | 0.036–3.837E+10 | 0.136 | 11.776 | 0.000–411645.646 | 0.644 |
| Direction-ratio | 0.092 | 0.000–277.978 | 0.092 | 6.01E-08 | 3.549E-14–0.102 | 0.023 | 0.036 | 5.817E-6–225.556 | 0.457 |
| Direction-area | 1 | 1.000–1.000 | 0.001 | 1 | 1.000–1.000 | 0.001 | 1 | 1.000–1.000 | 0.602 |
| tortuosity | 0.133 | 0.024–0.727 | 0.02 | 0.246 | 0.019–3.098 | 0.278 | 0.579 | 0.116–2.896 | 0.506 |
| VAD | 1.452 | 1.156–1.825 | 0.001 | 1.185 | 1.085–1.318 | 0.002 | 1.058 | 0.890–1.258 | 0.521 |
| 2.59 | 1.474–4.552 | 0.001 | 1.616 | 1.217–2.145 | 0.001 | 1.143 | 0.749–1.745 | 0.535 | |
| FD | 1.167E+09 | 1941.961–7.014E+14 | 0.002 | 15320922.78 | 248.051–9.463E+11 | 0.003 | 12.889 | 0.000–1107682.091 | 0.659 |
| B-num | 1.023 | 1.007–1.039 | 0.005 | 1.013 | 1.004–1.022 | 0.003 | 1.005 | 0.992–1.019 | 0.441 |
OR > 1: The increase in the coefficient has a reverse effect on the possibility of the sample belonging to NMOSD; OR = 1: The increase in the coefficient has no effect on the possibility of the sample belonging to NMOSD; OR <1:The increase in the coefficient has a positive effect on the possibility of the sample belonging to NMOSD. The data with P value less than 0.05 as bold value, which generally means that the parameters they represent are significant.