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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: Stroke. 2016 May 12;47(7):1850–1857. doi: 10.1161/STROKEAHA.116.013046

Table 2.

Multivariable regression models for predicting clinical and angiographic outcomes

Odds ratio (95% CI) p-value
Model for predicting favorable outcome
Age, year 0.926 (0.888–0.965) 0.000
NIHSS score 0.843 (0.771–0.922) 0.000
Collateral flow (grade 3 to 4) 7.108 (2.868–17.618) 0.000
Instant reocclusion 0.188 (0.053–0.669) 0.010
Delayed reocclusion 0.035 (0.005–0.243) 0.001
Model for predicting delayed reocclusion in patients with AOL 2
Collateral flow (grade 4) 8.477 (1.169–61.464) 0.034
Any neurological worsening around
24-hours post-procedure 		10.388 (1.287–83.876) 0.028
mTICI 2a reperfusion 3.113 (0.458–21.158) 0.245
EVT procedure time (each 10 min) 1.032 (0.845–1.261) 0.758
TAL stenosis (each severity) 0.809 (0.274–2.393) 0.702

NIHSS=National Institutes of Health Stroke Scale; mTICI=modified Treatment in Cerebral Ischemia; EVT=endovascular therapy; TAL=target arterial lesion.