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. 2020 Sep 3;3(1):100178. doi: 10.1016/j.jhepr.2020.100178

Table 3.

AUROC analyses of the discriminatory ability of extracellular matrix markers for detecting advanced disease.

Test panel
Validation panel
PSC
PBC
AIH
PSC
PSC
LSM LSM LSM Mayo Mayo
N advanced/total (%) 37/70 (53) 25/68 (37) 17/52 (33) 30/78 (38) 68/129 (53)
PRO-C3/C3M 0.830
(0.727, 0.933)
p <0.001
0.767
(0.641, 0.892)
p <0.001
0.585
(0.415, 0.755)
p = 0.33
0.761
(0.656, 0.866)
p <0.001
0.772
(0.692, 0.853)
p <0.001
PRO-C3 0.855
(0.766, 0.944)
p <0.001
0.833
(0.722, 0.943)
p <0.001
0.771
(0.641, 0.900)
p <0.001
0.820
(0.727, 0.913)
p <0.001
0.826
(0.754, 0.898)
p <0.001
PRO-C5 0.498
(0.360, 0.636)
p = 0.98
0.643
(0.505, 0.781)
p = 0.04
0.676
(0.529, 0.823)
p = 0.02
0.655
(0.524, 0.786)
p = 0.02
0.721
(0.633, 0.809)
p <0.001
C3M 0.620
(0.488, 0.752)
p = 0.09
0.673
(0.540, 0.807)
p = 0.01
0.708
(0.566, 0.850)
p = 0.004
0.681
(0.551, 0.810)
p = 0.01
0.716
(0.628, 0.804)
p <0.001
C4M 0.510
(0.373, 0.647)
p = 0.88
0.668
(0.533, 0.804)
p = 0.02
0.708
(0.561, 0.855)
p = 0.01
0.644
(0.511, 0.776)
p = 0.03
0.761
(0.679, 0.843)
p <0.001
BGM 0.419
(0.284, 0.553)
p = 0.24
0.644
(0.509, 0.780)
p = 0.04
0.548 (0.377, 0.719) p = 0.58 0.535 (0.398, 0.673) p = 0.62 0.606
(0.507, 0.704)
p = 0.04
VICM 0.470
(0.331, 0.609)
p = 0.67
0.280
(0.149, 0.411)
p = 0.001
0.339
(0.171, 0.506)
p = 0.06
0.488
(0.357, 0.618)
p = 0.85
0.504
(0.404, 0.605)
p = 0.93

For analyses involving LSM: panel restricted to patients with LSM available and AST <175. Published cut-off levels for fibrosis (F3) were used (PSC >9.6 kPa, PBC >10.7 kPa; AIH >10.4 kPa). Mayo risk score cut-off 0 differentiated mild vs. moderate-high risk. Values are given as AUC (95% CI). AIH, autoimmune hepatitis; AUROC, area under the receiver operator characteristics curve; BGM, biglycan marker; ELF, enhanced liver fibrosis test; LSM, liver stiffness measurement; Mayo, PSC-specific revised Mayo risk score; PBC, primary biliary cholangitis; PSC, primary sclerosing cholangitis; VICM, citrullinated vimentin.