Table 3.

Characterization of quantitative parameters for IE.

Simple logistic regression analysis on outcome IE.
Parameter	Cut-off	Sens.	Spec.	80% Sens.	80% Spec.	AUC	p Value
WBC (1/nL)	8.75	0.67	0.73	7.34	11.55	0.680	0.024
CRP (mg/L)	66.10	0.57	0.73	28.72	93.67	0.589	0.272
PCT (ng/mL)	0.50	0.60	0.64	0.41	1.22	0.681	0.057
Vegetation size (mm)	11.50	0.69	0.86	9.49	11.50	0.800	<0.001
log(NT-proBNP)	3.37	0.68	0.83	3.06	3.37	0.691	0.114
Multivariate logistic regression analysis on outcome IE.
Parameter		OR (95%-CI)		p Value		C Index
WBC (1/nL)		1.37 (0.98, 2.16)		0.110
CRP (mg/L)		1.00 (0.98, 1.03)		0.707		0.909
Vegetation size (mm)		1.58 (1.12, 2.64)		0.037
log(NT-proBNP)		1.91 (0.41–12.83)		0.449

Analysis of PCT was omitted in the multivariate analysis because of collinearity. AUC = area under the curve; CI = confidence interval; Sens. = sensitivity; Spec. = specificity; other abbreviations as in Table 1. Bold font highlights the quantitative parameter and the respective test result, if significant.