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. 2022 Oct 19;10(1):e83. doi: 10.22037/aaem.v10i1.1728

Table 3.

Screening performance characteristics of physiologic scoring systems in predicting the 30-day mortality of COVID-19 patients

Variables 4C Mortality NEWS2 qSOFA PRIEST
Cut-off ≥13 ≥6 ≥2 ≥8
Sensitivity 68.75 (61.3 - 75.5) 78.98 (72.2 – 84.7) 85.80 (79.7 -90.6) 87.50 (81.7 – 92.0)
Specificity 79.19 (76.1 – 82.1) 77.76 (74.6 -80.7) 66.87 (63.3 – 70.2) 71.05 (67.6 – 74.3)
PPV 43.8 (39.7 - 48.1) 45.7 (41.9 – 49.6) 37.9 (35.2 – 40.8) 41.6 (38.6 – 44.7)
NPV 91.5 (89.6 – 93.1) 94.0 (92.1 – 95.4) 95.2 (93.2 – 96.6) 96.0 (94.2– 97.3)
PLR 3.30 (2.78 - 3.92) 3.55 (3.04 – 4.15) 2.59 (2.30 – 2.91) 3.02 (2.67 – 3.43)
NLR 0.39 (0.32 - 0.49) 0.27 (0.20 - 0.36) 0.21 (0.15 - 0.31) 0.18 0.12 - 0.26)
AUC 0.804 (0.776-0.829) 0.843 (0.818-0.866) 0.788 (0.760-0.814) 0.846 (0.821-0.868)

Data are presented with 95% confidence intervals. PPV: Positive predictive value; NPV: Negative predictive value; PLR: Positive Likelihood Ratio; NLR: Negative Likelihood Ratio; and AUC: Area Under the receiver operating characteristic Curve.