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
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 evaluation | Definition of suboptimal treatment response | |
| Rotterdam | 1 yr | Abnormal bilirubin and/or albumin |
| Paris I | 1 yr | ALP ≥ 3 × ULN or AST ≥ 2 × ULN or bilirubin > 1 mg/dL |
| Paris II | 1 yr | ALP > 1.5 × ULN or AST > 1.5 × ULN or bilirubin > 1 mg/dL |
| Barcelona | 1 yr | ALP > 1 × ULN and decrease in ALP < 40% |
| Toronto | 2 yr | ALP > 1.67 × ULN |
| APRI | Baseline | AST/ULN of AST/platelet (× 109) × 100 |
| APRI-r1 | 1 yr | AST/ULN of AST/platelet (× 109) × 100 |
Table 2 Baseline characteristics of the study cohort
| Variable | Whole cohort,n = 144 | Patients with HCC,n = 12 | Patients without HCC,n = 132 | P value |
| Age, yr | 57.8 (48.7-71.5) | 68.1 (56.2-74.6) | 57.0 (48.2-70.7) | 0.278 |
| Female sex | 127 (88.2) | 9 (75.0) | 118 (89.4) | 0.153 |
| Duration of follow-up, yr | 6.9 (3.5-10.4) | 8.9 (5.2-11.4) | 6.8 (3.5-10.1) | 0.499 |
| Ursodeoxycholic acid, mg | 750 (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 | ||||
| Diabetes | 29 (20.1) | 6 (50.0) | 23 (17.4) | 0.0163 |
| Smoking1 | 13 (9.5) | 4 (33.3) | 9 (6.8) | 0.0113 |
| Alcohol1 | 17 (13.7) | 2 (16.7) | 15 (11.4) | 0.623 |
| Cirrhosis | 41 (28.5) | 8 (66.7) | 33 (25.0) | 0.0053 |
| Histological stage 3-42 | 23 (44.2) | 3 (50.0) | 20 (43.5) | 1.00 |
| Platelet, x 109/L1 | 216 (152-262) | 133 (95-150) | 229 (175-266) | < 0.0013 |
| Creatinine, μmol/L1 | 69 (60-82) | 73 (60-79) | 68 (60 - 82) | 0.0473 |
| Albumin, g/L1 | 40 (36-42) | 24 (14-30) | 40 (36-42) | 0.087 |
| Bilirubin, μmol/L1 | 14 (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/L1 | 74 (54-130) | 85 (64-109) | 74 (53-133) | 0.565 |
| AST, U/L1 | 68 (51-115) | 76 (56-109) | 68 (51-115) | 0.741 |
| GGT, U/L1 | 517 (256-771) | 626 (353-843) | 490 (224-760) | 0.285 |
| PT, s | 11.3 (10.5-11.7) | 11.8 (11.7-12.5) | 11.2 (10.5-11.7) | 0.0073 |
| AMA positivity | 119 (82.6) | 8 (66.7) | 111 (84.1) | 0.223 |
| Globulin, mg/dL1 | 41 (37-46) | 40 (37-44) | 41 (37-46) | 0.337 |
| IgM, mg/dL1 | 363 (250-502) | 446 (282-579) | 359 (250-478) | 0.563 |
| Mayo risk score1 | 4.7 (3.8-5.5) | 5.1 (4.8-6.6) | 4.6 (3.8-5.4) | 0.0223 |
| MELD score | 6 (6-8) | 8 (6-9) | 6 (6-7) | 0.097 |
| CP score1 | 5 (5-6) | 6 (5-6) | 5 (5-6) | 0.125 |
| CP class B/C1 | 29 (20.1) | 2 (16.7) | 25 (19.2) | 1.00 |
| APRI | 1.00 (0.60-1.84) | 2.02 (1.05-3.34) | 0.97 (0.59-1.72) | 0.053 |
| APRI > 0.541 | 102 (78.5) | 9 (90.0) | 93 (77.5) | 0.689 |
| APRI-r11 | 0.22 (0.13-0.43) | 0.54 (0.31-0.70) | 0.20 (0.13-0.38) | 0.0023 |
| APRI-r1> 0.541 | 27 (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
| Variables | Univariate analysis | Multivariate analysis | ||||
| HR | 95%CI | P value | HR | 95%CI | P value | |
| Age, yr | 1.06 | 1.01-1.11 | 0.0162 | 1.07 | 1.02-1.12 | 0.0042 |
| Male sex | 5.22 | 1.27-21.44 | 0.0222 | 3.67 | 0.69-19.56 | 0.128 |
| Diabetes mellitus | 3.01 | 0.96-9.44 | 0.058 | |||
| Cirrhosis | 8.02 | 2.35-27.29 | < 0.0012 | 4.38 | 1.06-18.14 | 0.0412 |
| APRI > 0.54 | 3.43 | 0.43-27.19 | 0.243 | |||
| APRI-r1 > 0.54 | 5.10 | 1.64-15.86 | 0.0052 | 3.94 | 1.04-14.94 | 0.0432 |
| Creatinine, μmol/L | 1.02 | 0.99-1.05 | 0.222 | |||
| Albumin, g/L | 0.85 | 0.75-0.96 | 0.0072 | |||
| Bilirubin, µmol/L | 1.01 | 0.98-1.03 | 0.514 | |||
| ALP, U/L | 0.997 | 0.994-1.00 | 0.104 | |||
| ALT, U/L | 0.996 | 0.987-1.00 | 0.331 | |||
| AST, U/L | 0.996 | 0.975-1.01 | 0.467 | |||
| GGT, U/L | 1.00 | 0.999-1.001 | 0.975 | |||
| PT, s | 1.40 | 0.99-1.98 | 0.0602 | |||
| AMA positivity | 0.52 | 0.16-1.75 | 0.292 | |||
| Globulin, mg/dL | 0.99 | 0.90-1.08 | 0.804 | |||
| IgM, mg/dL | 1.00 | 0.997-1.002 | 0.830 | |||
| Suboptimal treatment response, Rotterdam criteria1 | 5.95 | 1.59-22.26 | 0.0082 | 2.18 | 0.45-10.58 | 0.334 |
Table 4 Adjusted HRs and 95%CIs for the association between hepatocellular carcinoma development and different variables
| Criteria | HR | 95%CI | P value |
| Rotterdam | |||
| Age | 1.07 | 1.02-1.12 | 0.0041 |
| Male sex | 3.67 | 0.69-19.56 | 0.128 |
| Cirrhosis | 4.38 | 1.06-18.14 | 0.0411 |
| APRI-r1 > 0.54 | 3.94 | 1.04-14.94 | 0.0431 |
| Suboptimal treatment response | 2.18 | 0.45-10.58 | 0.334 |
| Paris I | |||
| Age | 1.07 | 1.02-1.12 | 0.0031 |
| Male sex | 3.04 | 0.54-17.12 | 0.207 |
| Albumin | 0.94 | 0.80-1.09 | 0.386 |
| Cirrhosis | 4.37 | 1.07-17.75 | 0.0391 |
| APRI-r1 > 0.54 | 3.92 | 1.06-14.54 | 0.0411 |
| Suboptimal treatment response | 1.7 | 0.41-7.03 | 0.466 |
| Barcelona | |||
| Age | 1.07 | 1.02-1.12 | 0.0051 |
| Male sex | 3.26 | 0.56-18.96 | 0.188 |
| Albumin | 0.93 | 0.80-1.07 | 0.307 |
| Cirrhosis | 4.44 | 1.06-18.56 | 0.0411 |
| APRI-r1 > 0.54 | 4.47 | 1.26-15.93 | 0.0211 |
| Suboptimal treatment response | 1.22 | 0.33-4.49 | 0.768 |
| Toronto | |||
| Age | 1.07 | 1.02-1.13 | 0.0031 |
| Male sex | 3.22 | 0.56-18.50 | 0.19 |
| Albumin | 0.94 | 0.80-1.09 | 0.425 |
| Cirrhosis | 4.56 | 1.09-19.17 | 0.0381 |
| APRI-r1 > 0.54 | 4.16 | 1.10-15.69 | 0.0361 |
| Suboptimal treatment response | 1.46 | 0.31-6.89 | 0.631 |
Table 5 Prediction of hepatocellular carcinoma development by APRI-r1 in combination with suboptimal treatment response
| Criteria | Univariate analysis | Multivariate analysis1 | |||||||
| HR | 95%CI | P value | P trend | HR | 95%CI | P value | P trend | ||
| Rotterdam | |||||||||
| Low-risk | Ref | - | - | Ref | - | - | |||
| Intermediate-risk | 2.81 | 0.56-14.01 | 0.208 | < 0.0012 | 1.54 | 0.25-9.63 | 0.644 | 0.0062 | |
| High-risk | 10.29 | 2.55-41.48 | 0.0012 | 7.95 | 1.56-40.45 | 0.0122 | |||
| Paris I | |||||||||
| Low-risk | Ref | - | - | Ref | - | - | |||
| Intermediate-risk | 2.81 | 0.63-12.60 | 0.177 | 0.0032 | 2.34 | 0.40-13.60 | 0.345 | 0.0132 | |
| High-risk | 8.38 | 1.99-35.21 | 0.004 | 7.28 | 1.45-36.71 | 0.0162 | |||
| Barcelona | |||||||||
| Low-risk | Ref | - | - | Ref | - | - | |||
| Intermediate-risk | 1.28 | 0.29-5.72 | 0.75 | 0.0022 | 0.53 | 0.08-3.34 | 0.496 | 0.0382 | |
| High-risk | 10.66 | 2.85-39.89 | < 0.0012 | 5.54 | 1.29-23.71 | 0.0212 | |||
| Toronto | |||||||||
| Low-risk | Ref | - | - | Ref | - | - | |||
| Intermediate-risk | 3.25 | 0.81-13.06 | 0.097 | 0.052 | 4.4 | 0.97-19.90 | 0.055 | 0.061 | |
| High-risk | 4.22 | 0.85-20.97 | 0.079 | 4.77 | 0.78-29.24 | 0.091 | |||
Table 6 Predictive performances of prognostic models for hepatocellular carcinoma development
| Categorical variable | Rotterdam | Paris I | Barcelona | Toronto | Cirrhosis | Thrombocytopenia, < 150 × 109/L | Hyperbilirubinemia,> 17 mmol/L |
| AUROC | 0.68 | 0.67 | 0.64 | 0.64 | 0.71 | 0.75 | 0.64 |
| (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) |
| Sensitivity | 75.00% | 66.60% | 58.30% | 63.60% | 66.70% | 70.00% | 66.70% |
| Specificity | 60.60% | 66.60% | 68.90% | 63.60% | 75.00% | 79.00% | 60.80% |
| PPV | 14.80% | 15.40% | 14.60% | 14.00% | 19.50% | 21.20% | 13.60% |
| NPV | 96.40% | 95.70% | 94.80% | 94.90% | 96.10% | 97.00% | 84.90% |
| Continuous variable | APRI | APRI-r1 | Mayo risk score | MELD score | CP score | ||
| AUROC | 0.68 | 0.77 | 0.7 | 0.63 | 0.62 | ||
| (95%CI) | (0.49-0.87) | (0.64-0.88) | (0.54-0.84) | (0.43-0.79) | (0.47-0.76) | ||
| Sensitivity | - | - | - | - | - | ||
| Specificity | - | - | - | - | - | ||
| PPV | - | - | - | - | - | ||
| NPV | - | - | - | - | - | ||
- Citation: Cheung KS, Seto WK, Fung J, Mak LY, Lai CL, Yuen MF. Prediction of hepatocellular carcinoma development by aminotransferase to platelet ratio index in primary biliary cholangitis. World J Gastroenterol 2017; 23(44): 7863-7874
- URL: https://www.wjgnet.com/1007-9327/full/v23/i44/7863.htm
- DOI: https://dx.doi.org/10.3748/wjg.v23.i44.7863
