Table 5.
The statistical characteristics of the ROC curve for the univariate logistic model for specific variables (n = 96).
| Variables | AUC | Cut-off value | Sensitivity (%) | Specificity (%) |
|---|---|---|---|---|
| VAI | 0.495 | 1.58 | 49.1 | 48.6 |
| LAP | 0.820 | 45.22 | 84.2 | 78.4 |
| HOMA-IR | 0.717 | 2.48 | 49.1 | 91.7 |
| TNF-α [ng/L] | 0.765 | 93.4 | 48.9 | 89.2 |
| IL-6 [pg/mL] | 0.504 | 55.3 | 32.0 | 78.5 |
| IL-13 [pg/mL] | 0.539 | 336.2 | 31.9 | 84.4 |
| HGBM-1 [ng/mL] | 0.669 | 88.2 | 45.4 | 85.3 |
| Adiponectin [μg/mL] | 0.615 | 2.06 | 55.1 | 59.4 |
| Leptin [ng/mL] | 0.550 | 3.94 | 84.4 | 37.5 |
| Ghrelin [pg/mL] | 0.649 | 1992.75 | 42.5 | 89.6 |
VAI visceral adiposity index, LAP lipid accumulation product, HOMA-IR homeostatic model assessment, TNF-α tumor necrosis factor α, IL-6 interleukin 6, HGMB-1 high mobility group box-1, AUC the area under the curve, cut-off value the optimal threshold value for clinical stratification.