Table 3.
Area under the curve (AUC) generated from ROC curve analysis of MACE.
Cytokine/Score | ROC AUC | Cut-off Value | Sensitivity (%) | Specificity (%) |
---|---|---|---|---|
IL-1β | 0.490 | – | – | – |
IL-6 | 0.632 | 3.11 pg/mL | 65.9 | 60.1 |
IL-8 | 0.639 | 3.59 pg/mL | 75.6 | 52.5 |
IL-10 | 0.586 | – | – | – |
MCP-1 | 0.578 | – | – | – |
RANTES | 0.439 | – | – | – |
Cytokine score | 0.606 | 0.0802 | 56.1 | 62.3 |
IL-6-IL-8 score | 0.652 | −0.141 | 65.9 | 65.2 |
All significant AUCs are bolded (p < 0.05). For significant AUCs, a cut-off value with optimal sensitivity and specificity has been determined from the ROC curve, with sensitivity prioritised over specificity when deciding between two similar cut-offs.