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. 2020 Nov 25;5(6):e000910. doi: 10.1136/esmoopen-2020-000910

Table 4.

Univariable and multivariable Cox analysis of factors associated with OS of intrahepatic cholangiocarcinoma

Variable Univariable analysis Multivariable analysis
Pathology OS model
Multivariable analysis
Imaging OS model
HR (95% CI) P value HR (95% CI) P value HR (95% CI) P value
PD-1 2.930 (1.793 to 4.789) <0.001 3.347 (2.007 to 5.581) <0.0001
PD-L1 1.867 (1.134 to 3.074) 0.017 1.868 (1.127 to 3.097) 0.015
Sex 1.165 (0.715 to 1.898) 0.539
Age 0.997 (0.977 to 1.017) 0.756
Pathology 1.130 (0.693 to 1.844) 0.625
Diameter 1.134 (0.849 to 1.516) 0.389
No 2.203 (1.040 to 4.664) 0.060
Adjacent organ invasion 1.451 (0.776 to 2.714) 0.263
Nerve invasion 2.313 (1.334 to 4.010) 0.005
Satellite nodule 1.745 (0.990 to 3.076) 0.067
Necrosis 1.592 (0.867 to 2.923) 0.153
Intravascular tumour thrombus 1.715 (0.740 to 3.975) 0.242
Lymph node metastasis 1.827 (1.090 to 3.063) 0.028
Surgical margin 0.845 (0.365 to 1.956) 0.687
ALT 1.124 (0.665 to 1.901) 0.664
AST 1.285 (0.774 to 2.133) 0.339
GGT 1.952 (1.109 to 3.436) 0.015
CEA 1.918 (1.177 to 3.123) 0.008 2.485 (1.502 to 4.111) 0.0004 1.946 (1.189 to 3.186) <0.001
CA-199 1.573 (0.914 to 2.708) 0.092
AFP 0.606 (0.277 to 1.329) 0.182
Cirrhosis 1.169 (0.625 to 2.187) 0.630
Hepatitis B 0.642 (0.361 to 1.144) 0.119
Position 0.952 (0.641 to 1.413) 0.806
Shape 1.864 (1.115 to 3.117) 0.015
Margin 2.689 (1.599 to 4.523) <0.001
Peritumoural bile duct dilatation 2.400 (1.445 to 3.988) <0.001
Hepatic lobe atrophy 2.718 (1.544 to 4.784) 0.001
Capsular retraction 1.946 (1.192 to 3.179) 0.008
Imaging classification 3.583 (1.819 to 7.057) <0.001 2.653 (1.317 to 5.343) 0.006
Target sign in T2WI 0.376 (0.185,0.761) 0.002
Target sign in DWI 0.509 (0.298 to 0.870) 0.010
Enhancement patterns 0.246 (0.125 to 0.486) <0.001
Intratumour vascularity 1.051 (0.520 to 2.125) 0.890
Intra-tumoural separate 0.857 (0.528 to 1.390) 0.532
Radscore 4.419 (2.743 to 7.118) <0.001 3.7213 (2.210 to 6.265) <0.0001

Data in parentheses are 95% CIs.

The independent predictors in the pathology-based and imaging-based OS predicting models were summarised.

Bold values indicate that these are statistically significant in univariable analysis.

AFP, a-fetoprotein; ALT, alanine aminotransferase; AST, aspartate aminotransferase; CA-199, cancer antigen 199; CEA, carcinoembryonic antigen; GGT, γ-glutamyl transpeptidase; OS, overall survival; PD-1, programmed cell death protein 1; PD-L1, programmed cell death protein ligand 1; Radscore, radiomics score.