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. 2024 Jul 16;74(5):844540. doi: 10.1016/j.bjane.2024.844540

Figure 4.

Figure 4

ROC curves plotted for the Predictive Power of Scoring Systems in mechanical ventilation need. (A) For the performance of pGCS in predicting Invasive Mechanical Ventilation (IMV) need, the AUC for pGCS was determined to be 0.947, with a sensitivity of 78.0% and specificity of 96.3% at the cutoff value of 11(p < 0.001). For predicting Invasive Mechanical Ventilation (IMV) need, PTS demonstrated an AUC of 0.917, with a sensitivity of 90.2% and specificity of 80.2% at the cutoff value of 6.5 (p < 0.001). (B) For the performance of PEWS in predicting Invasive Mechanical Ventilation (IMV) need, the AUC for PEWS was determined to be 0.951, with a sensitivity of 85.4% and specificity of 91.4% at the cutoff value of 2.5 (p < 0.001). For predicting Invasive Mechanical Ventilation (IMV) need, PRISM-3 demonstrated an AUC of 0.924, with a sensitivity of 78.0% and specificity of 93.8% at the cutoff value of 5.5 (p < 0.001).