|
Normal ≥ mild (cutoff = 0.57) |
Sensitivity: 96.8% (83.3–99.9%) |
Specificity: 84.2% (60.4–96.6%) |
PPV: 90.9% (77.9–96.6%) |
NPV: 94.1% (69.7–99.1%) |
Accuracy: 92.0% (80.8–97.8%) |
Mild ≥ severe (cutoff = 0.68) |
Sensitivity: 82.4% (65.5–93.2%) |
Specificity: 90.3% (74.3–98.0%) |
PPV: 90.3% (75.9–96.5%) |
NPV: 82.4% (69.1–90.7%) |
Accuracy: 86.2% (75.3–93.5%) |
|
Normal ≥ mild (cutoff = 0.79) |
Sensitivity: 77.4% (58.9–90.4%) |
Specificity: 73.7% (48.8–90.9%) |
PPV: 82.8% (68.8–91.3%) |
NPV: 66.7% (49.7–80.2%) |
Accuracy: 76.0% (61.8–86.9%) |
Mild ≥ severe (cutoff = 0.85) |
Sensitivity: 61.8% (43.6–77.8%) |
Specificity: 71.0% (52.0–85.8%) |
PPV: 70.0% (55.9–81.1%) |
NPV: 62.9% (51.1–73.3%) |
Accuracy: 66.2% (53.4–77.4%) |
|
Normal ≥ mild (cutoff = 0.72) |
Sensitivity: 83.9% (66.3–94.6%) |
Specificity: 79.0% (54.4–94.0%) |
PPV: 86.7% (72.9–94.0%) |
NPV: 75.0% (56.5–87.4%) |
Accuracy: 82.0% (68.6–91.4%) |
Mild ≥ severe (cutoff = 0.80) |
Sensitivity: 76.5% (58.8–89.3%) |
Specificity: 96.8% (83.3–99.9%) |
PPV: 96.3% (78.9–99.5%) |
NPV: 79.0% (67.1–87.3%) |
Accuracy: 86.2% (75.3–93.5%) |