Table 4.
Simple logistic regression analysis on outcome 30-day mortality. | |||||||
Parameter | Cut-off | Sens. | Spec. | 80% Sens. | 80% Spec. | AUC | p Value |
WBC (1/nL) | 11.27 | 0.50 | 0.62 | 7.71 | 14.85 | 0.543 | 0.430 |
CRP (mg/L) | 76.60 | 0.85 | 0.58 | 77.66 | 138.69 | 0.719 | <0.001 |
PCT (ng/mL) | 1.63 | 0.54 | 0.74 | 0.21 | 2.43 | 0.624 | 0.046 |
Vegetation size (mm) | 10.53 | 0.83 | 0.28 | 10.53 | 19.50 | 0.553 | 0.413 |
log(NT-proBNP) | 3.61 | 0.88 | 0.52 | 3.61 | 4.08 | 0.750 | <0.001 |
Simple logistic regression analysis on outcome 1-year mortality. | |||||||
Parameter | Cut-off | Sen.s | Spec. | 80% Sens. | 80% Spec. | AUC | p Value |
WBC (1/nL) | 12.51 | 0.42 | 0.72 | 7.75 | 14.89 | 0.547 | 0.278 |
CRP (mg/L) | 59.78 | 0.77 | 0.55 | 49.76 | 142.91 | 0.620 | 0.006 |
PCT (ng/mL) | 1.21 | 0.72 | 0.49 | 0.81 | 2.03 | 0.627 | 0.012 |
Vegetation size (mm) | 16.50 | 0.44 | 0.67 | 8.51 | 19.50 | 0.552 | 0.296 |
log(NT-proBNP) | 3.37 | 0.92 | 0.45 | 3.60 | 4.04 | 0.745 | <0.0001 |
Abbreviations as in Table 3. Bold font highlights the quantitative parameters and the respective test result, if significant.