Table 3:

Prediction of favorable clinical outcome and hemorrhagic transformation

	AIC	−2 (Log-Likelihood)	R^{2^a}	AUC	OR	95% CI	P Value
Favorable clinical outcome
Model of SPAN-100 only	316.64	312.64	0.054	0.599		0.56–0.64
SPAN-100					0.2	0.1–0.4
Model of SPAN-100, CBS	307.42	301.42	0.088	0.676		0.61–0.74	.004
SPAN-100					0.2	0.1–0.3
CBS					1.2	1.1–1.3
Model of SPAN-100, CBS, CBV	294.09	286.09	0.135	0.742		0.68–0.80	<.001
SPAN-100					0.2	0.1–0.5
CBS					1.1	1.0–1.2
CBV					0.6	0.5–0.8
Hemorrhagic transformation
Model of SPAN-100 only	342.06	338.06	0.019	0.55		0.49–0.60
SPAN-100					2.0	1.1–3.8
Model of SPAN-100, CBS	339.39	333.392	0.037	0.62		0.54.5–0.69	.02
SPAN-100					2.2	1.2–4.1
CBS					0.9	0.8–0.9

Note:—AIC indicates Akaike information criterion.
↵a R² is the proportion of variability in a dataset that is accounted for by the statistical model.