Table 2:

Optimal model for prediction of favorable clinical outcome: variable selection by Akaike Information Criterion^{^a}

Variable	Odds Ratio	95% CI	P Value
Fever (>37.5°C)	0.31	0.09–0.96	.052
Age	0.96	0.92–0.99	.007
Total procedure time	0.99	0.98–0.995	.003
NIHSS score	0.84	0.75–0.92	<.001

↵a Variable selection using Akaike Information Criterion minimization, indicated by the goodness-of-fit test (P > .05), and the likelihood ratio test for inclusion of fever (P = .041) vs exclusion of fever in the prediction of favorable clinical outcome.