Table 4.
Logistic analysis of early functional outcomes after surgical clipping.
| Variables | Univariablea | Multivariableb | ||
|---|---|---|---|---|
| OR (95% CI) | p-value | OR (95% CI) | p-value | |
| Sex | ||||
| Female | ||||
| Male | 0.887 (0.542–1.439) | 0.630 | ||
| Age | 1.026 (1.003–1.049) | 0.027 | 1.021 (0.994–1.05) | 0.128 |
| Hunt–Hess | ||||
| 0–3 | ||||
| 4–5 | 7.244 (4.358–12.281) | <0.001 | 2.369 (1.051–5.408) | 0.038 |
| Body temperature | 1.025 (0.644–1.613) | 0.916 | ||
| GCS | ||||
| 3–8 | ||||
| 9–12 | 0.197 (0.066–0.522) | 0.002 | 0.376 (0.111–1.173) | 0.099 |
| 12–15 | 0.13 (0.075–0.223) | <0.001 | 0.274 (0.121–0.606) | 0.002 |
| PLT | 0.997 (0.995–0.999) | 0.001 | 0.998 (0.996–1.000) | 0.060 |
| D-dimer | 1.266 (1.132–1.423) | <0.001 | 1.508 (1.304–1.766) | <0.001 |
| mFS | ||||
| 0–2 | ||||
| 3–4 | 7.568 (4.228–14.364) | <0.001 | 2.918 (1.245–6.994) | 0.014 |
| Hypertension | ||||
| No | ||||
| Yes | 0.984 (0.591–1.662) | 0.952 | ||
| Diabetes | ||||
| No | ||||
| Yes | 0.932 (0.287–2.635) | 0.898 | ||
| Length | 1.058 (0.994–1.128) | 0.076 | ||
| Width | 1.064 (0.991–1.151) | 0.095 | ||
| Height | 1.09 (1.004–1.197) | 0.049 | 1.057 (0.958–1.178) | 0.283 |
| Volume | 1 (1.000–1.001) | 0.284 | ||
| MAP | 0.994 (0.981–1.007) | 0.360 | ||
| Aneurysm volume | 1 (1–1.001) | 0.284 | ||
| Anterior cerebral artery | ||||
| Middle cerebral artery | 1.344 (0.774–2.354) | 0.296 | ||
| Internal carotid artery | 1.303 (0.592–2.801) | 0.502 | ||
| Posterior communicating artery | 0.806 (0.351–1.761) | 0.598 | ||
| Posterior circulation | 4.032 (0.933–20.641) | 0.067 | ||
Univariable logistic regression models.
Multivariable logistic regression model adjusting for age at diagnosis, blood group, GCS score, aneurysm width, aneurysm height, D-dimer, and PLT.
OR, odd ratio; CI, confidence interval; MAP, mean arterial pressure; GCS, Glasgow Coma Scale.