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Table 2: 
Optimal model for prediction of favorable clinical outcome: variable selection by Akaike Information Criteriona
VariableOdds Ratio95% CIP Value
Fever (>37.5°C)0.310.09–0.96.052
Age0.960.92–0.99.007
Total procedure time0.990.98–0.995.003
NIHSS score0.840.75–0.92<.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.