Figure S3
Radon et al.
0.8
0.6
Sensitivity
0.4
0.2
0.2
0.4
Sensitivity
0.6
0.8
1.0
B
1.0
A
0.0
Training dataset (70%)
Validation dataset (30%)
0.0
LYVE1
REG1A
TFF1
0.0
0.2
0.4
0.6
0.8
1.0
0.0
0.2
1 − Specificity
0.4
0.6
0.8
1.0
1 − Specificity
C
AUC (95% CI)
% SN (95% CI) at
optimal cutpoint
% SP (95% CI) at
optimal cutpoint
LYVE1 (cnorm)
0.775 (0.704 - 0.846)
76.9 (69.9 – 83.2)
69.4 (58.1 – 80.7)
REG1A (cnorm)
0.722 (0.643 - 0.801)
78.3 (71.3 – 84.6)
66.1 (54.8 – 77.4)
TFF1 (cnorm)
0.629 (0.540 - 0.717)
76.2 (68.5 – 83.2)
50.0 (37.1 – 61.3)
Panel (+ creat + age)
0.815 (0.752 - 0.878)
68.5 (60.1 – 76.2)
80.6 (71.0 – 90.3)
Panel (+ creat + age)
0.839 (0.751 - 0.928)
67.4 (53.1 – 79.6)
80.0 (63.3 – 93.3)
Samples
Biomarkers
Training set (70%)
Validation set (30%)
0.8
0.6
Sensitivity
0.2
0.4
0.6
0.4
0.2
Sensitivity
0.8
1.0
E
1.0
D
0.0
Training dataset (70%)
Validation dataset (30%)
0.0
LYVE1
REG1A
TFF1
0.0
0.2
0.4
0.6
0.8
1.0
0.0
1 − Specificity
F
0.4
0.6
0.8
1.0
1 − Specificity
AUC (95% CI)
% SN (95% CI) at
optimal cutpoint
% SP (95% CI) at
optimal cutpoint
LYVE1 (cnorm)
0.732 (0.644 - 0.821)
76.8 (66.1 – 87.5)
62.1 (50.0 – 74.3)
REG1A (cnorm)
0.723 (0.633 - 0.813)
75.0 (62.5 – 85.7)
69.7 (57.6 – 80.3)
TFF1 (cnorm)
0.650 (0.553 - 0.748)
76.8 (64.3 – 87.5)
56.1 (43.9 – 68.2)
Panel (+ creat + age)
0.831 (0.762 - 0.901)
85.7 (75.0 – 94.6)
66.7 (56.1 – 78.8)
Panel (+ creat + age)
0.846 (0.730 - 0.963)
100.0 (100.0 – 100.0)
50.0 (30.8 – 69.2)
Samples
Biomarkers
Training set (70%)
Validation set (30%)
0.2