Table 4. Binary Logistic Regression Model for Prediction of Aneurysm Rupture.
Characteristics | Odds ratio | p value | 95% CI | β |
---|---|---|---|---|
Age | 0.434 | 0.042 | 0.194-0.971 | -0.835 |
Cerebral atherosclerosis | 0.125 | 0.000 | 0.041-0.382 | -2.081 |
Irregular shape | 6.598 | 0.000 | 2.563-16.985 | 1.887 |
Neck width | 0.771 | 0.048 | 0.596-0.998 | -0.260 |
Aspect ratio | 3.507 | 0.004 | 1.494-8.234 | 1.255 |
LA ratio | 0.267 | 0.000 | 0.149-0.477 | -1.320 |
CI, confidence interval; LA ratio, lateral angle ratio.