Table 3:

Univariable and multivariable linear regression analyses to predict NWU and univariable and multivariable logistic regression analyses to predict MCE

Impact on NWU in multivariate regression	Coefficient	95% CI	P Value
Parameter	Coefficient	95% CI	P Value
Univariable analysis
Age (1-year increase)	0.009	−0.03–0.05	.667
Male sex	-0.29	−1.38–0.79	.597
Admission NIHSS	0.17	0.07–0.26	.001
Onset to imaging time (1 minute)	0.004	−0.001–0.009	.147
Good collateral filling	-2.90	−3.93–1.86	<.001
ASPECTS	-0.70	−0.86–0.54	<.001
COVES = 0	3.99	2.83–5.15	<.001
Multivariable analysis
Admission NIHSS	-0.01	−0.08–0.10	.811
Good collateral filling	-0.46	−1.59–0.67	.423
ASPECTS	-0.50	−0.70–0.30	<.001
COVES = 0	2.04	0.75–3.32	.002
Prediction of MCE
Parameter
Univariable analysis
Age (1-year increase)	1.02	0.99–1.05	.300
Male sex	0.52	0.25–1.08	.079
Admission NIHSS	1.14	1.06–1.23	.001
OIT (1 minute)	1.001	0.997–1.004	.733
IV thrombolysis	0.54	0.25–1.16	.115
Endovascular treatment	0.92	0.45–1.89	.820
Good collateral filling	0.11	0.05–0.24	<.001
ASPECTS	0.59	0.50–0.70	<.001
COVES = 0	39.33	13.68–113.12	<.001
NWU	1.58	1.35–1.85	<.001
Multivariable analysis
Male sex	0.31	0.10–0.99	.047
Admission NIHSS	1.02	0.91–1.35	.730
Good collateral filling	0.75	0.22–2.63	.657
ASPECTS	0.77	0.60–0.97	.029
COVES = 0	14.68	4.03–53.45	<.001
NWU	1.29	1.05–1.58	.016