Fig. 2

Receiver operating characteristic curves depicting the prediction of outcomes following SAE. This plot demonstrates the correlation between sensitivity (Y-axis) and the reciprocal of specificity (X-axis), highlighting the highest area under the curve (AUC) for Acute Physiology and Chronic Health Evaluation (APACHE) III with a density of 0.6 and a composite of APACHE III with a density of 0.6. The use of both APACHE III and density at 0.6 resulted in the highest AUC value (0.951 [0.893–1.000]), outperforming AUC values obtained when using APACHE III alone (0.857 [0.735–0.979]) or density at 0.6 alone (0.716 [0.557–0.876]). (A) Notable variances observed between the combined approach and each individual predictor (APACHE III with density at 0.6 vs. density of 0.6, P = 0.04; APACHE III with density vs. APACHE III, P = 0.09); (B) Cutoff values of predictive methods with sensitivity and specificity.