Table 3.
ROC curve analyses
| Variable | AUC | SE | 95%CI | threshold values | sensitivity | 95%CI | specificity | 95%CI | positive likelihood ratios | 95%CI | negative likelihood ratios | 95%CI |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BEa | 0.693 | 0.0143 | 0.675–0.712 | ≤ − 4.6 | 59.19 | 54.7–63.6 | 71.84 | 69.8–73.8 | 2.10 | 1.9–2.3 | 0.57 | 0.5–0.6 |
| Lactateb | 0.715 | 0.0132 | 0.697–0.733 | > 2.42 | 69.49 | 65.2–73.5 | 60.74 | 58.5–62.9 | 1.77 | 1.6–1.9 | 0.50 | 0.4–0.6 |
| pHc | 0.670 | 0.0149 | 0.651–0.689 | ≤7.24 | 41.82 | 37.4–46.3 | 87.00 | 85.4–88.5 | 3.22 | 2.8–3.8 | 0.67 | 0.6–0.7 |
Pairwise comparison of AUCs: a vs b: P = 0.068; a vs c: P = 0.020; b vs c: P < 0.001.
AUC: area under the curve; SE: standard error; CI: confidence interval.