Table 2 Univariable and multivariable logistic regression analysis for predicting 3-month outcomes
From: AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation
Dependent: 3-Month FO | No (N = 202) | Yes (N = 166) | OR (univariable) | OR (multivariable) | |
|---|---|---|---|---|---|
NIHSS | Mean ± SD | 23.2 ± 8.4 | 19.3 ± 9.9 | 0.95 (0.93–0.98, p < 0.001) | 0.95 (0.93–0.98, p < 0.001) |
sICH | No | 182 (90.1%) | 163 (98.2%) | ||
Yes | 20 (9.9%) | 3 (1.8%) | 0.17 (0.05–0.57, p = 0.004) | 0.23 (0.06–0.83, p = 0.025) | |
Dyslipidemia | No | 118 (58.4%) | 118 (71.1%) | ||
Yes | 84 (41.6%) | 48 (28.9%) | 0.57 (0.37–0.88, p = 0.012) | 0.57 (0.36–0.91, p = 0.019) | |
Age | Mean ± SD | 64.5 ± 11.2 | 62.4 ± 12.6 | 0.99 (0.97–1.00, p = 0.096) | 0.99 (0.97–1.01, p = 0.148) |
PC-ASPECTS | Mean ± SD | 8.2 ± 1.7 | 8.6 ± 1.4 | 1.15 (1.00–1.31, p = 0.042) | 1.08 (0.93–1.25, p = 0.321) |
Glucose | Mean ± SD | 7.5 ± 2.9 | 7.8 ± 3.2 | 1.03 (0.97–1.11, p = 0.347) | 1.06 (0.99–1.13, p = 0.093) |
ASITN/SIR | 0-1 | 164 (81.2%) | 116 (69.9%) | ||
2 | 22 (10.9%) | 24 (14.5%) | 1.54 (0.83–2.88, p = 0.174) | 1.66 (0.85–3.26, p = 0.140) | |
3-4 | 16 (7.9%) | 26 (15.7%) | 2.30 (1.18–4.47, p = 0.015) | 1.86 (0.92–3.77, p = 0.083) | |
EOT | Mean ± SD | 7.1 ± 5.0 | 6.5 ± 4.6 | 0.97 (0.93–1.02, p = 0.199) | 0.96 (0.92–1.00, p = 0.078) |
