Retrospective Study
Copyright ©The Author(s) 2017.
World J Gastroenterol. Nov 28, 2017; 23(44): 7863-7874
Published online Nov 28, 2017. doi: 10.3748/wjg.v23.i44.7863
Table 1 Descriptions of prognostic risk models for primary biliary cholangitis
Time of evaluationDefinition of suboptimal treatment response
Rotterdam1 yrAbnormal bilirubin and/or albumin
Paris I1 yrALP ≥ 3 × ULN or AST ≥ 2 × ULN or bilirubin > 1 mg/dL
Paris II1 yrALP > 1.5 × ULN or AST > 1.5 × ULN or bilirubin > 1 mg/dL
Barcelona1 yrALP > 1 × ULN and decrease in ALP < 40%
Toronto2 yrALP > 1.67 × ULN
APRIBaselineAST/ULN of AST/platelet (× 109) × 100
APRI-r11 yrAST/ULN of AST/platelet (× 109) × 100
Table 2 Baseline characteristics of the study cohort
VariableWhole cohort,n = 144Patients with HCC,n = 12Patients without HCC,n = 132P value
Age, yr57.8 (48.7-71.5)68.1 (56.2-74.6)57.0 (48.2-70.7)0.278
Female sex127 (88.2)9 (75.0)118 (89.4)0.153
Duration of follow-up, yr6.9 (3.5-10.4)8.9 (5.2-11.4)6.8 (3.5-10.1)0.499
Ursodeoxycholic acid, mg750 (750-750)750 (750-750)750 (750-750)0.576
Suboptimal treatment response,61 (42.4)9 (75.0)52 (39.4)0.0173
Rotterdam criteria
Diabetes29 (20.1)6 (50.0)23 (17.4)0.0163
Smoking113 (9.5)4 (33.3)9 (6.8)0.0113
Alcohol117 (13.7)2 (16.7)15 (11.4)0.623
Cirrhosis41 (28.5)8 (66.7)33 (25.0)0.0053
Histological stage 3-4223 (44.2)3 (50.0)20 (43.5)1.00
Platelet, x 109/L1216 (152-262)133 (95-150)229 (175-266)< 0.0013
Creatinine, μmol/L169 (60-82)73 (60-79)68 (60 - 82)0.0473
Albumin, g/L140 (36-42)24 (14-30)40 (36-42)0.087
Bilirubin, μmol/L114 (10-26)30 (19-55)14 (10-26)< 0.0013
ALP (U/L)284 (196-484)343 (227-362)273 (196-496)0.991
ALT, U/L174 (54-130)85 (64-109)74 (53-133)0.565
AST, U/L168 (51-115)76 (56-109)68 (51-115)0.741
GGT, U/L1517 (256-771)626 (353-843)490 (224-760)0.285
PT, s11.3 (10.5-11.7)11.8 (11.7-12.5)11.2 (10.5-11.7)0.0073
AMA positivity119 (82.6)8 (66.7)111 (84.1)0.223
Globulin, mg/dL141 (37-46)40 (37-44)41 (37-46)0.337
IgM, mg/dL1363 (250-502)446 (282-579)359 (250-478)0.563
Mayo risk score14.7 (3.8-5.5)5.1 (4.8-6.6)4.6 (3.8-5.4)0.0223
MELD score6 (6-8)8 (6-9)6 (6-7)0.097
CP score15 (5-6)6 (5-6)5 (5-6)0.125
CP class B/C129 (20.1)2 (16.7)25 (19.2)1.00
APRI1.00 (0.60-1.84)2.02 (1.05-3.34)0.97 (0.59-1.72)0.053
APRI > 0.541102 (78.5)9 (90.0)93 (77.5)0.689
APRI-r110.22 (0.13-0.43)0.54 (0.31-0.70)0.20 (0.13-0.38)0.0023
APRI-r1> 0.54127 (19.6)6 (50.0)21 (16.7)0.0133
Table 3 HRs and 95%CIs for the association between hepatocellular carcinoma development and different variables
VariablesUnivariate analysis
Multivariate analysis
HR95%CIP valueHR95%CIP value
Age, yr1.061.01-1.110.01621.071.02-1.120.0042
Male sex5.221.27-21.440.02223.670.69-19.560.128
Diabetes mellitus3.010.96-9.440.058
Cirrhosis8.022.35-27.29< 0.00124.381.06-18.140.0412
APRI > 0.543.430.43-27.190.243
APRI-r1 > 0.545.101.64-15.860.00523.941.04-14.940.0432
Creatinine, μmol/L1.020.99-1.050.222
Albumin, g/L0.850.75-0.960.0072
Bilirubin, µmol/L1.010.98-1.030.514
ALP, U/L0.9970.994-1.000.104
ALT, U/L0.9960.987-1.000.331
AST, U/L0.9960.975-1.010.467
GGT, U/L1.000.999-1.0010.975
PT, s1.400.99-1.980.0602
AMA positivity0.520.16-1.750.292
Globulin, mg/dL0.990.90-1.080.804
IgM, mg/dL1.000.997-1.0020.830
Suboptimal treatment response, Rotterdam criteria15.951.59-22.260.00822.180.45-10.580.334
Table 4 Adjusted HRs and 95%CIs for the association between hepatocellular carcinoma development and different variables
CriteriaHR95%CIP value
Rotterdam
Age1.071.02-1.120.0041
Male sex3.670.69-19.560.128
Cirrhosis4.381.06-18.140.0411
APRI-r1 > 0.543.941.04-14.940.0431
Suboptimal treatment response2.180.45-10.580.334
Paris I
Age1.071.02-1.120.0031
Male sex3.040.54-17.120.207
Albumin0.940.80-1.090.386
Cirrhosis4.371.07-17.750.0391
APRI-r1 > 0.543.921.06-14.540.0411
Suboptimal treatment response1.70.41-7.030.466
Barcelona
Age1.071.02-1.120.0051
Male sex3.260.56-18.960.188
Albumin0.930.80-1.070.307
Cirrhosis4.441.06-18.560.0411
APRI-r1 > 0.544.471.26-15.930.0211
Suboptimal treatment response1.220.33-4.490.768
Toronto
Age1.071.02-1.130.0031
Male sex3.220.56-18.500.19
Albumin0.940.80-1.090.425
Cirrhosis4.561.09-19.170.0381
APRI-r1 > 0.544.161.10-15.690.0361
Suboptimal treatment response1.460.31-6.890.631
Table 5 Prediction of hepatocellular carcinoma development by APRI-r1 in combination with suboptimal treatment response
CriteriaUnivariate analysis
Multivariate analysis1
HR95%CIP valueP trendHR95%CIP valueP trend
Rotterdam
Low-riskRef--Ref--
Intermediate-risk2.810.56-14.010.208< 0.00121.540.25-9.630.6440.0062
High-risk10.292.55-41.480.00127.951.56-40.450.0122
Paris I
Low-riskRef--Ref--
Intermediate-risk2.810.63-12.600.1770.00322.340.40-13.600.3450.0132
High-risk8.381.99-35.210.0047.281.45-36.710.0162
Barcelona
Low-riskRef--Ref--
Intermediate-risk1.280.29-5.720.750.00220.530.08-3.340.4960.0382
High-risk10.662.85-39.89< 0.00125.541.29-23.710.0212
Toronto
Low-riskRef--Ref--
Intermediate-risk3.250.81-13.060.0970.0524.40.97-19.900.0550.061
High-risk4.220.85-20.970.0794.770.78-29.240.091
Table 6 Predictive performances of prognostic models for hepatocellular carcinoma development
Categorical variableRotterdamParis IBarcelonaTorontoCirrhosisThrombocytopenia, < 150 × 109/LHyperbilirubinemia,> 17 mmol/L
AUROC0.680.670.640.640.710.750.64
(95%CI)(0.52-0.80)(0.52-0.81)(0.48-0.78)(0.47-0.78)(0.56-0.86)(0.58-0.90)(0.49-0.77)
Sensitivity75.00%66.60%58.30%63.60%66.70%70.00%66.70%
Specificity60.60%66.60%68.90%63.60%75.00%79.00%60.80%
PPV14.80%15.40%14.60%14.00%19.50%21.20%13.60%
NPV96.40%95.70%94.80%94.90%96.10%97.00%84.90%
Continuous variableAPRIAPRI-r1Mayo risk scoreMELD scoreCP score
AUROC0.680.770.70.630.62
(95%CI)(0.49-0.87)(0.64-0.88)(0.54-0.84)(0.43-0.79)(0.47-0.76)
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