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. 2022 Dec 19;9(12):467. doi: 10.3390/jcdd9120467

Table 4.

Characterization of quantitative parameters for mortality.

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.