Table 2.

Multivariable logistic regression analysis for functional outcome.

Variables	Crude OR, 95%CI	p-Value	Adjust OR, 95%CI	p-Value
Age	1.01 (0.99–1.03)	0.304	1.01 (0.95–1.06)	0.908
Gender	1.89 (1.03–3.46)	0.039	0.94 (0.22–4.05)	0.929
Blood Glucose	1.13 (1.02–1.25)	0.015	1.24 (0.98–1.57)	0.075
NIHSS	1.15 (1.1–1.21)	<0.001	1.04 (0.95–1.15)	0.354
ASPECTS	0.33 (0.25–0.45)	<0.001	0.49 (0.24–1)	0.05
mCTA score	0.27 (0.18–0.42)	<0.001	0.44 (0.15–1.23)	0.117
rCBF < 30%	1.09 (1.05–1.12)	<0.001	0.97 (0.92–1.01)	0.166
TMax > 6 s	1.02 (1.01–1.02)	<0.001	1 (0.99–1.01)	0.955
HIR (per 0.01);	1.3 (1.22–1.4)	<0.001	1.32 (1.21–1.45)	<0.001

Crude model: no other covariates were adjusted. Adjusted model: we adjusted age, gender, blood glucose, NIHSS, ASPECTS, mCTA score, rCBF < 30%, TMax > 6 s. Abbreviations: NIHSS, National Institutes of Health Stroke Scale; ASPECTS, Alberta Stroke Program Early Computed Tomography Score; mCTA, multiphase CTA; rCBF, relative cerebral blood flow; TMax, the time when the residue function reaches its maximum; HIR, hypoperfusion intensity ratio.