Table 1 (abstract P2). ROC curve analysis identify cut-off point of lactate to predict hospital outcome
From: Sepsis 2018
Parameter | AUC(95%CI) | Cut-off point | Sensitivity | Specificity | Youden’s index |
|---|---|---|---|---|---|
Non-cirrhosis | |||||
 -Baseline lactate | 0.63(0.57-0.66) | 4 | 0.5 | 0.66 | 0.16 |
 -Following lactate | 0.62(0.56-0.68) | 2 | 0.8 | 0.44 | 0.24 |
 -Lactate clearance | 0.56(0.50-0.62) | 10 | 0.7 | 0.43 | 0.13 |
Cirrhosis | |||||
 -Baseline lactate | 0.65(0.44-0.85) | 5 | 0.78 | 0.61 | 0.39 |
 -Following lactate | 0.60(0.35-0.84) | 5 | 0.67 | 0.68 | 0.35 |
 -Lactate clearance | 0.54(0.29-0.78) | 20 | 0.52 | 0.56 | 0.08 |