Table 2.
The AUCs and Youden Index based thresholdsa
MSE | AUC (95%-CI) | Threshold | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) | Accuracy (%) |
---|---|---|---|---|---|---|---|
abp | 0.80 (0.74–0.85) | 22.3 | 65 | 80 | 68 | 77 | 74 |
sbp | 0.82 (0.77–0.87) | 22.7 | 71 | 80 | 70 | 80 | 76 |
dbp | 0.77 (0.71–0.83) | 20.6 | 58 | 85 | 72 | 75 | 74 |
cpp | 0.73 (0.65–0.81) | 24.6 | 74 | 68 | 71 | 71 | 71 |
hr | 0.83 (0.78–0.89) | 23.0 | 82 | 73 | 68 | 86 | 77 |
icp | 0.77 (0.70–0.85) | 19.6 | 83 | 62 | 70 | 78 | 73 |
amp | 0.71 (0.62–0.79) | 22.2 | 81 | 56 | 66 | 73 | 68 |
Based on the univariable MSE ROC the different AUCs as well as the corresponding Youden Index based optimal threshold, sensitivity, specificity, positive and negative predictive values, overall accuracy are shown
aABP mean arterial blood pressure, AMP intracranial pressure amplitude, AUC area under the curve, CI confidence interval, CPP cerebral perfusion pressure, DBP diastolic blood pressure, HR heart rate, ICP intracranial pressure, MSE multiscale entropy, NPV negative predictive value, PPV positive predictive value, SBP systolic blood pressure