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. 2022 Jan 18;4(1):e0611. doi: 10.1097/CCE.0000000000000611

Figure 1.

Figure 1.

Visual EEG Confusion Assessment Method Severity (VE-CAM-S) performance—correlation, discrimination, consistency. A, Boxplots of predicted scores for patients at each Confusion Assessment Method-Severity (CAM-S) Long Form (LF) score on the aggregated testing sets. The red lines indicate the median value; the lower and upper boundary of the box are the 25% and 75% percentiles of the bootstrapped values; the lower whisker is equal to the 25% percentile minus 1.5× the interquartile range (IQR), the upper whisker is equal to the 75% percentile plus 1.5× the IQR. Data points are color-coded according to clinical state: no delirium or coma (blue); delirium (red) via CAM framework; coma (black) via Richmond Agitation-Sedation Scale score of –4 or –5. B, The area under the receiver operating characteristic curve (AUROC) (y-axis) using VE-CAM-S for discriminating CAM-S = 0 (baseline) versus CAM-S more or equal to a certain level (x-axis). The inset shows the receiver operating characteristic for CAM-S = 0 versus CAM-S greater than or equal to 4. The shaded areas represent 95% CIs from bootstrapping. C, The calibration curve for CAM-S LF less than or equal to 4 versus greater than or equal to 5 on the aggregated testing sets.