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. Author manuscript; available in PMC: 2019 Jun 1.
Published in final edited form as: J Perianesth Nurs. 2017 Mar 24;33(3):304–311. doi: 10.1016/j.jopan.2016.09.007

Fig. 2.

Fig. 2

Receiver operator characteristic (ROC) curve evaluating the sensitivity and specificity of the model predicting EA using a panel of clinical and demographic variables. Area under the curve (AUC) for the predictors was 0.82; 95% CI = 0.76–0.87; p <0.001. AUC for the ROC indicates the usefulness of a test (our model) in predicting a binomial outcome (EA yes/no). A value of 0.82 indicates ‘good’ model predictive ability

Abbreviations: EA = Emergence Agitation; CI =confidence interval.