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. Author manuscript; available in PMC: 2017 Dec 1.
Published in final edited form as: Resuscitation. 2016 Aug 21;109:121–126. doi: 10.1016/j.resuscitation.2016.08.012

Figure 1. Improved performance of multimodal outcome prediction modeling utilizing a receiver operating characteristic curve analysis with inclusion of EEG background reactivity data in the model.

Figure 1

Receiver operating characteristic (ROC) curve analysis using a multimodal outcome prediction base model that included presence of seizures and burst-suppression on EEG, neurological exam, initial cardiac rhythm, and location of cardiac arrest. Including EBR data in the model was associated with AUC improvement from: (A) Mortality: 0.87 to 0.96; (B) Poor functional outcome (CPC 3–5): 0.91 to 0.92; (C) Poor disposition: AUC of 0.87 to 0.94.