Table 4.
Diagnostic performance of clinical and biological parameters.
| Parameter | Cut-point | PPV | NPV | Sensitivity (95% CI) | Specificity (95% CI) | AUC (95% CI) | Accuracy |
|---|---|---|---|---|---|---|---|
| In favour of malignancy, infection, and other inflammatory aetiologies (vs others) | |||||||
| Fever | 0.87 | 0.53 | 33 | 94 | – | 0.6 | |
| Imp. Gen. condition | 0.73 | 0.7 | 78 | 65 | – | 0.72 | |
| CRP | 5.6 mg/l | 0.86 | 0.57 | 71.1 (65–77.2) | 76.5 (68.4–85) | 79.2 (74.1–84.4) | 0.73 |
| LDH | 226.5 UI/l | 0.8 | 0.39 | 59.8 (51.2–68.5) | 63.5 (50–75.1) | 65.2 (56.5–73.8) | 0.61 |
| Neutrophils | 5.3 × 109/l | 0.77 | 0.43 | 51.2 (44.5–57.9) | 70.4 (62–78.7) | 61.1 (54.9–67.3) | 0.58 |
| In favour of other aetiologies and primary hyperhidrosis (vs malignancy and infection) | |||||||
| ≥ 1 year duration | 0.88 | 0.46 | 29 | 94 | – | 0.54 | |
For continuous variables, optimal cut-points were established using a ROC curve. Sensitivity and specificity were assessed for different cut-points and the optimal cut-point was defined as the maximisation of Youden’s index. Accuracy is defined as: (True positive + True negative)/total of patients. PPV: Positive predictive value; NPV: Negative predictive value; AUC: Area under the curve; Imp. Gen. condition: Impaired general condition.