Table 3.
Potential biomarkers to identify severity of dengue infection.
| AUC | 95% CI | P value | Cutoff | Sensitivity % | Specificity % | |
|---|---|---|---|---|---|---|
| IL-10 | 0.8519 | 0.6922–1.011 | 0.0046 | >134 pg/ml | 77.78 | 86.67 |
| IL-6 | 0.5266 | 0.3120–0.7412 | 0.8177 | <136.8 pg/ml | 100 | 17.39 |
| Platelets | 0.5316 | 0.3400–0.7231 | 0.7607 | <9.05 × 104/ml | 100 | 15.79 |
| Albumin | 0.7976 | 0.6942–0.9461 | 0.0079 | <3.55 UI/ml | 88.89 | 57.14 |
| ALT | 0.9111 | 0.7682–1.054 | 0.0284 | >93.5 UI/ml | 100 | 86.67 |
| AST | 0.8000 | 0.5367–1.063 | 0.1098 | > 140 UI/ml | 86.67 | 66.67 |
| socs1 | 0.8441 | 0.7006–0.9877 | 0.0069 | < 1.94-fold | 85.71 | 72.73 |
| socs3 | 0.9026 | 0.7777–1.028 | 0.0016 | >199.8-fold | 85.71 | 86.36 |
AUC analysis was done to explore the potential of each parameter to predict dengue severity by comparing between DF and DHF patients. socs3, socs1, IL-10, and ALT have the best predictive values.