Original Article
Copyright ©2012 Baishideng Publishing Group Co.
World J Gastroenterol. Feb 28, 2012; 18(8): 746-753
Published online Feb 28, 2012. doi: 10.3748/wjg.v18.i8.746
Table 1 Fibrosis tests composed of laboratory parameters
Fibrosis testCalculation
AARAST/ALT
APRI[(AST/ULN)/platelet count (109/L)] × 100
FibroQ(10 × age × AST × PT INR)/(PLT × ALT)
CDSPlatelet count (109/L): > 340 = 0; 280-339 = 1; 220-279 = 2; 160-219 = 3; 100-159 = 4; 40-99 = 5; < 40 = 6
ALT/AST ratio: > 1.7 = 0; 1.2-1.7 = 1; 0.6-1.19 = 2; < 0.6 = 3
APIINR: < 1.1 = 0; 1.1-1.4 = 1; > 1.4 = 2 CDS is the sum of the above (possible value, 0-11)
Age (yr): < 30 = 0; 30-39 = 1; 40-49 = 2; 50-59= 3; 60-69 = 4; > 70 = 5
Platelet count (109/L): ≥ 225 = 0; 200-224 = 1; 175-199 = 2; 150-174 = 3; 125-149 = 4; ≤ 125 = 5
API is the sum of the above (possible value, 0-10)
Pohl scorePositive: AAR ≥ 1 and platelet count < 150 × 109/L
FIB-4 index[Age (yr) × AST (U/L)]/[platelet count (109/L) × ALT (U/L) 1/2]
Lok’s modelLog odds (predicting cirrhosis) = -5.56 to 0.0089 × platelet (× 103/mm3) + 1.26 × AST/ALT ratio + 5.27 × PT INR Predicted probability = exp (log odds)/[1 + exp (log odds)]
Table 2 Clinical characteristics of 237 patients with chronic hepatitis C
Male/female135/102
Age (yr)54.3 ± 11.6 (19-76)
AST (U/L)101.2 ± 56.0 (21-348)
ALT (U/L)156.3 ± 92.5 (24-637)
PT INR1.049 ± 0.080 (0.88-1.34)
PLT (× 103/μL)170.9 ± 55.1 (60-373)
Hemoglobin (g/L)14.4 ± 1.37 (9.0-18.0)
WBC count (x 109/L)5.85 ± 1.73 (2.8-16.7)
Creatinine (mg/dL)0.94 ± 0.23 (1.0-2.0)
FT4 (μg/dL)1.12 ± 0.19 (1.0-2.0)
TSH (mU/mL)2.06 ± 2.13 (0.1-23.0)
Table 3 Correlation of histological fibrosis severity with the variables
Bivariate Spearman’s rank correlation coefficient (95% CI)P value
Age (yr)0.232 (0.108-0.349)< 0.001
AST (U/L)0.188 (0.062-0.308)0.004
ALT (U/L)-0.028 (-0.155 to 0.100)0.666
PT INR0.337 (0.219-0.445)< 0.001
PLT (× 103/μL)-0.326 (-0.435 to -0.207)< 0.001
Hb-0.176 (-0.297 to -0.050)0.005
WBC-0.053 (-0.179 to 0.075)0.404
Cr-0.152 (-0.274 to -0.025)0.02
FT4-0.167 (-0.288 to -0.040)0.014
TSH0.065 (-0.063 to 0.191)0.341
Bil(T)0.135 (0.008-0.258)0.04
AAR0.341 (0.223-0.449)< 0.001
APRI0.322 (0.203-0.431)< 0.001
FibroQ0.444 (0.336-0.541)< 0.001
FIB-40.429 (0.319-0.528)< 0.001
CDS0.185 (0.059-0.305)0.004
API0.360 (0.244-0.466)< 0.001
Lok’s model0.430 (0.320-0.528)< 0.001
Pohl score0.144 (0.017-0.267)0.027
Table 4 Correlation between fibrosis score and aspartate aminotransferase-to-platelet ratio index, aspartate aminotransferase/alanine aminotransferase ratio, and FibroQ, FIB-4, cirrhosis discriminant score, age-platelet index, Lok’s model, Pohl score
Metavir fibrosis scoreF1F2F3F4
Patient number (%)41 (17.3)85 (35.9)98 (41.4)13 (5.5)
AAR0.566 ± 0.162ce0.673 ± 0.2500.749 ± 0.2220.776 ± 0.175
APRI1.433 ± 1.040a1.919 ± 1.9042.320 ± 1.3902.508 ± 1.102
FibroQ1.485 ± 0.855gi2.532 ± 1.660m3.563 ± 2.0563.581 ± 1.812
FIB-41.79 ± 1.13gim2.79 ± 2.033.75 ± 1.973.82 ± 1.57
CDS5.61 ± 1.165.69 ± 1.196.14 ± 1.126.15 ± 1.41
API3.95 ± 2.06gim5.25 ± 2.246.40 ± 2.296.15 ± 1.63
Lok’s model0.22 ± 0.12kmo0.32 ± 0.180.43 ± 0.190.46 ± 0.18
Pohl score00.01 ± 0.110.08 ± 0.280.04 ± 0.19
Table 5 Performance of simple fibrosis prediction tests for significant fibrosis (F2, F3 and F4) and extensive fibrosis (F3 and F4)
Metavir fibrosis score vsAUC (F2, F3, F4)(95% CI)AUC (F3, F4)(95% CI)
AAR0.709 (0.626-0.792)0.675 (0.607-0.743)
APRI0.651 (0.566-0.736)0.681 (0.613-0.749)
FibroQ0.789 (0.720-0.857)0.728 (0.662-0.793)
FIB-40.785 (0.686-0.830)0.725 (0.659-0.791)
CDS0.580 (0.485-0.674)0.609 (0.537-0.680)
API0.739 (0.660-0.818)0.696 (0.628-0.764)
Lok’s model0.768 (0.695-0.840)0.721 (0.656-0.786)
Pohl score0.523 (0.429-0.617)0.532 (0.458-0.606)
Table 6 Diagnostic accuracy of simple fibrosis prediction tests for significant and extensive fibrosis
ScoreCut-off value(%)Significant fibrosis (F2, F3 and F4)Extensive fibrosis (F3 and F4)
SenSpePPVNPVSenSpePPVNPV
FibroQ> 0.694.996.412.284.041.797.37.1448.075.0
> 1.279.785.748.888.941.790.129.452.977.1
> 1.474.380.153.789.236.186.536.554.575.4
> 1.670.077.665.991.638.085.643.757.277.5
> 1.866.274.070.792.436.383.849.259.277.5
> 2.060.869.480.594.435.582.057.963.278.5
> 2.644.351.087.895.227.364.973.868.670.5
AAR> 0.497.095.412.283.935.796.47.147.869.2
> 0.661.267.970.791.731.577.553.259.372.8
> 0.828.731.685.491.220.736.978.660.358.6
> 1.06.88.1610010018.510.896.875.055.2
APRI> 0.595.896.99.783.740.099.17.148.590.0
> 172.675.541.586.026.287.440.556.478.5
> 1.554.056.658.586.722.069.459.560.268.8
> 239.745.487.894.725.255.073.864.965.0
CDS> 588.688.812.282.918.592.815.149.070.4
> 663.766.348.886.123.373.945.254.366.3
> 729.130.678.087.019.034.275.455.156.5
> 88.99.795.190.518.112.694.466.755.1
API> 475.981.651.288.936.887.434.153.975.4
> 567.173.563.490.633.382.046.057.274.4
> 657.463.370.791.228.774.857.961.072.3
> 739.746.492.796.826.656.875.467.066.4
Pohl scorePositive3.84.5910010018.07.299.288.954.8
FIB-4> 1.4575.581.653.789.437.987.434.954.275.9
> 262.069.473.292.533.381.154.861.276.7
> 2.553.661.282.994.530.974.865.165.474.5
> 346.052.685.494.527.366.772.267.971.1
> 3.2540.947.490.295.926.461.377.070.169.3
Lok’s model> 0.274.781.658.590.440.488.337.355.478.3
> 0.435.040.892.796.424.751.479.468.764.9
> 0.524.128.697.698.222.237.888.173.761.7