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©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
Published online Feb 28, 2012. doi: 10.3748/wjg.v18.i8.746
Table 1 Fibrosis tests composed of laboratory parameters
Fibrosis test | Calculation |
AAR | AST/ALT |
APRI | [(AST/ULN)/platelet count (109/L)] × 100 |
FibroQ | (10 × age × AST × PT INR)/(PLT × ALT) |
CDS | Platelet 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 | |
API | INR: < 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 score | Positive: 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 model | Log 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/female | 135/102 |
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 INR | 1.049 ± 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 INR | 0.337 (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 |
TSH | 0.065 (-0.063 to 0.191) | 0.341 |
Bil(T) | 0.135 (0.008-0.258) | 0.04 |
AAR | 0.341 (0.223-0.449) | < 0.001 |
APRI | 0.322 (0.203-0.431) | < 0.001 |
FibroQ | 0.444 (0.336-0.541) | < 0.001 |
FIB-4 | 0.429 (0.319-0.528) | < 0.001 |
CDS | 0.185 (0.059-0.305) | 0.004 |
API | 0.360 (0.244-0.466) | < 0.001 |
Lok’s model | 0.430 (0.320-0.528) | < 0.001 |
Pohl score | 0.144 (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 score | F1 | F2 | F3 | F4 |
Patient number (%) | 41 (17.3) | 85 (35.9) | 98 (41.4) | 13 (5.5) |
AAR | 0.566 ± 0.162ce | 0.673 ± 0.250 | 0.749 ± 0.222 | 0.776 ± 0.175 |
APRI | 1.433 ± 1.040a | 1.919 ± 1.904 | 2.320 ± 1.390 | 2.508 ± 1.102 |
FibroQ | 1.485 ± 0.855gi | 2.532 ± 1.660m | 3.563 ± 2.056 | 3.581 ± 1.812 |
FIB-4 | 1.79 ± 1.13gim | 2.79 ± 2.03 | 3.75 ± 1.97 | 3.82 ± 1.57 |
CDS | 5.61 ± 1.16 | 5.69 ± 1.19 | 6.14 ± 1.12 | 6.15 ± 1.41 |
API | 3.95 ± 2.06gim | 5.25 ± 2.24 | 6.40 ± 2.29 | 6.15 ± 1.63 |
Lok’s model | 0.22 ± 0.12kmo | 0.32 ± 0.18 | 0.43 ± 0.19 | 0.46 ± 0.18 |
Pohl score | 0 | 0.01 ± 0.11 | 0.08 ± 0.28 | 0.04 ± 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 vs | AUC (F2, F3, F4)(95% CI) | AUC (F3, F4)(95% CI) |
AAR | 0.709 (0.626-0.792) | 0.675 (0.607-0.743) |
APRI | 0.651 (0.566-0.736) | 0.681 (0.613-0.749) |
FibroQ | 0.789 (0.720-0.857) | 0.728 (0.662-0.793) |
FIB-4 | 0.785 (0.686-0.830) | 0.725 (0.659-0.791) |
CDS | 0.580 (0.485-0.674) | 0.609 (0.537-0.680) |
API | 0.739 (0.660-0.818) | 0.696 (0.628-0.764) |
Lok’s model | 0.768 (0.695-0.840) | 0.721 (0.656-0.786) |
Pohl score | 0.523 (0.429-0.617) | 0.532 (0.458-0.606) |
Table 6 Diagnostic accuracy of simple fibrosis prediction tests for significant and extensive fibrosis
Score | Cut-off value | (%) | Significant fibrosis (F2, F3 and F4) | Extensive fibrosis (F3 and F4) | ||||||
Sen | Spe | PPV | NPV | Sen | Spe | PPV | NPV | |||
FibroQ | > 0.6 | 94.9 | 96.4 | 12.2 | 84.0 | 41.7 | 97.3 | 7.14 | 48.0 | 75.0 |
> 1.2 | 79.7 | 85.7 | 48.8 | 88.9 | 41.7 | 90.1 | 29.4 | 52.9 | 77.1 | |
> 1.4 | 74.3 | 80.1 | 53.7 | 89.2 | 36.1 | 86.5 | 36.5 | 54.5 | 75.4 | |
> 1.6 | 70.0 | 77.6 | 65.9 | 91.6 | 38.0 | 85.6 | 43.7 | 57.2 | 77.5 | |
> 1.8 | 66.2 | 74.0 | 70.7 | 92.4 | 36.3 | 83.8 | 49.2 | 59.2 | 77.5 | |
> 2.0 | 60.8 | 69.4 | 80.5 | 94.4 | 35.5 | 82.0 | 57.9 | 63.2 | 78.5 | |
> 2.6 | 44.3 | 51.0 | 87.8 | 95.2 | 27.3 | 64.9 | 73.8 | 68.6 | 70.5 | |
AAR | > 0.4 | 97.0 | 95.4 | 12.2 | 83.9 | 35.7 | 96.4 | 7.1 | 47.8 | 69.2 |
> 0.6 | 61.2 | 67.9 | 70.7 | 91.7 | 31.5 | 77.5 | 53.2 | 59.3 | 72.8 | |
> 0.8 | 28.7 | 31.6 | 85.4 | 91.2 | 20.7 | 36.9 | 78.6 | 60.3 | 58.6 | |
> 1.0 | 6.8 | 8.16 | 100 | 100 | 18.5 | 10.8 | 96.8 | 75.0 | 55.2 | |
APRI | > 0.5 | 95.8 | 96.9 | 9.7 | 83.7 | 40.0 | 99.1 | 7.1 | 48.5 | 90.0 |
> 1 | 72.6 | 75.5 | 41.5 | 86.0 | 26.2 | 87.4 | 40.5 | 56.4 | 78.5 | |
> 1.5 | 54.0 | 56.6 | 58.5 | 86.7 | 22.0 | 69.4 | 59.5 | 60.2 | 68.8 | |
> 2 | 39.7 | 45.4 | 87.8 | 94.7 | 25.2 | 55.0 | 73.8 | 64.9 | 65.0 | |
CDS | > 5 | 88.6 | 88.8 | 12.2 | 82.9 | 18.5 | 92.8 | 15.1 | 49.0 | 70.4 |
> 6 | 63.7 | 66.3 | 48.8 | 86.1 | 23.3 | 73.9 | 45.2 | 54.3 | 66.3 | |
> 7 | 29.1 | 30.6 | 78.0 | 87.0 | 19.0 | 34.2 | 75.4 | 55.1 | 56.5 | |
> 8 | 8.9 | 9.7 | 95.1 | 90.5 | 18.1 | 12.6 | 94.4 | 66.7 | 55.1 | |
API | > 4 | 75.9 | 81.6 | 51.2 | 88.9 | 36.8 | 87.4 | 34.1 | 53.9 | 75.4 |
> 5 | 67.1 | 73.5 | 63.4 | 90.6 | 33.3 | 82.0 | 46.0 | 57.2 | 74.4 | |
> 6 | 57.4 | 63.3 | 70.7 | 91.2 | 28.7 | 74.8 | 57.9 | 61.0 | 72.3 | |
> 7 | 39.7 | 46.4 | 92.7 | 96.8 | 26.6 | 56.8 | 75.4 | 67.0 | 66.4 | |
Pohl score | Positive | 3.8 | 4.59 | 100 | 100 | 18.0 | 7.2 | 99.2 | 88.9 | 54.8 |
FIB-4 | > 1.45 | 75.5 | 81.6 | 53.7 | 89.4 | 37.9 | 87.4 | 34.9 | 54.2 | 75.9 |
> 2 | 62.0 | 69.4 | 73.2 | 92.5 | 33.3 | 81.1 | 54.8 | 61.2 | 76.7 | |
> 2.5 | 53.6 | 61.2 | 82.9 | 94.5 | 30.9 | 74.8 | 65.1 | 65.4 | 74.5 | |
> 3 | 46.0 | 52.6 | 85.4 | 94.5 | 27.3 | 66.7 | 72.2 | 67.9 | 71.1 | |
> 3.25 | 40.9 | 47.4 | 90.2 | 95.9 | 26.4 | 61.3 | 77.0 | 70.1 | 69.3 | |
Lok’s model | > 0.2 | 74.7 | 81.6 | 58.5 | 90.4 | 40.4 | 88.3 | 37.3 | 55.4 | 78.3 |
> 0.4 | 35.0 | 40.8 | 92.7 | 96.4 | 24.7 | 51.4 | 79.4 | 68.7 | 64.9 | |
> 0.5 | 24.1 | 28.6 | 97.6 | 98.2 | 22.2 | 37.8 | 88.1 | 73.7 | 61.7 |
- Citation: Hsieh YY, Tung SY, Lee K, Wu CS, Wei KL, Shen CH, Chang TS, Lin YH. Routine blood tests to predict liver fibrosis in chronic hepatitis C. World J Gastroenterol 2012; 18(8): 746-753
- URL: https://www.wjgnet.com/1007-9327/full/v18/i8/746.htm
- DOI: https://dx.doi.org/10.3748/wjg.v18.i8.746