. Author manuscript; available in PMC: 2014 Jan 1.

Published in final edited form as: J Heart Lung Transplant. 2013 Jan;32(1):120–128. doi: 10.1016/j.healun.2012.09.030

Table 3.

Receiver-Operating Characteristic (ROC) Curve Analysis for Biomarkers with the Strongest Independent Predictive Value in the Multivariable Logistic Model

	CAV (all grades) vs controls			CAV (Grade 1) vs controls

Biomarker	AUC	95% CI	p	AUC	95% CI	p
VEGF-A	0.835	0.700–0.973	<0.001	0.854	0.708–1.000	0.003
VEGF-C	0.816	0.665–0.967	0.002	0.819	0.623–1.000	0.008
PF-4	0.790	0.632–0.949	0.004	0.868	0.726–1.000	0.002
VEGF-A and VEGF-C	0.938	0.840–0.999	<0.001	0.979	0.931–1.000	<0.001
All 3 combined^a	0.982	0.942–1.000	<0.001	1.000	0.999–1.000	<0.001

AUC, area under the curve; CI, confidence interval; PF-4, platelet factor-4; VEGF-A, vascular endothelial growth factor-A; VEGF-C, vascular endothelial growth factor-C.

Based on multivariable logistic regression analysis (combined AUC value is equivalent to the c-index).