Discriminant model Diagnostic class AUC (95% CI) Accuracy Sensitivity Specificity PPV NPV
7 VOCs Recovered 0.833 (0.731-0.935) 69.12% 68.75% 69.23% 40.74% 87.80%
Mild 0.899 (0.826-0.972) 70.59% 91.67% 66.07% 36.67% 97.37%
Moderate 0.865 (0.770-0.961) 70.59% 68.75% 71.15% 42.31% 88.10%
Severe 0.869 (0.772-0.967) 75.00% 66.67% 79.55% 64.00% 81.40%
7 VOCs + PROs Recovered 0.952 (0.903-1) 86.76% 81.25% 88.46% 68.42% 93.88%
Mild 0.930 (0.871-0.990) 69.12% 83.33% 66.07% 34.48% 94.87%
Moderate 0.901 (0.820-0.983) 70.59% 62.50% 73.08% 41.67% 86.36%
Severe 0.893 (0.799-0.987) 83.82% 83.33% 84.09% 74.07% 90.24%
PROs Recovered 0.845 (0.713-0.977) 89.71% 75.00% 94.23% 80.00% 92.45%
Mild 0.532(0.355-0.709) 33.82% 83.33% 23.21% 18.87% 86.67%
Moderate 0.644 (0.508-0.781) 45.59% 100.00% 28.85% 30.19% 100.00%
Severe 0.638 (0.507-0.769) 54.41% 95.83% 31.82% 43.40% 93.33%