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. 2019 Sep 24;9:13755. doi: 10.1038/s41598-019-50253-6

Table 3.

Receiver operating characteristic curve analysis for prediction of need for massive transfusion using each factor at the scene in cohort 1 + 2.

A. Univariate
Variable AUC (95% CI) P value Cut-off value Sensitivity, specificity OR (95% CI)
Lactate 0.764 (0.661–0.867) <0.0001 3.1 0.647, 0.835 9.08 (8.70–9.46)
Systolic blood pressure 0.713 (0.607–0.819) 0.00073 93 0.441, 0.955 16.48 (16.06–4.01)
Heart rate 0.651 (0.539–0.764) 0.023 100 0.529, 0.766 3.65 (3.29–4.01)
Respiratory rate 0.530 (0.406–0.654) 0.73 24 0.618, 0.576 2.16 (1.80–2.52)
Glasgow Coma Scale 0.796 (0.718–0.874) <0.0001 8 0.559, 0.910 12.60 (12.22–12.98)
Shock index 0.763 (0.663–0.862) <0.0001 0.95 0.529, 0.910 11.23 (10.85–11.61)
B. Multivariate
Variable AUC (95% CI) P value Sensitivity, specificity OR (95% CI)
Physiological variablesα 0.895 (0.846–0.944) <0.0001 0.853, 0.820 24.38 (23.89–24.86)
Physiological variablesα plus lactate level at the scene 0.903 (0.851–0.956) <0.0001 0.941, 0.748 38.48 (37.82–39.15)

AUC, area under the curve; CI, confidence interval; OR, odds ratio.

αPhysiological variables include systolic blood pressure, heart rate, respiratory rate, Glasgow Coma Scale score, shock index score at the scene, and positive mechanism of penetrating injury.