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©The Author(s) 2025.
World J Hepatol. Mar 27, 2025; 17(3): 104534
Published online Mar 27, 2025. doi: 10.4254/wjh.v17.i3.104534
Published online Mar 27, 2025. doi: 10.4254/wjh.v17.i3.104534
Table 1 Characteristics of participants
Characteristics | Included patients (n = 103) |
Demographic | |
Age (years), median (IQR) | 53 (38-61) |
Female | 86 (83) |
BMI, median (IQR) | 26 (21-28) |
Baseline histological features (METAVIR) | |
Biopsy specimen length (mm), median (IQR) | 12 (11-15) |
F0 | 10 (10) |
F1 | 28 (27) |
F2 | 21 (20) |
F3 | 24 (23) |
F4 | 20 (19) |
Fibrosis ≥ F2 | 65 (63) |
Fibrosis ≥ F3 | 44 (43) |
Cirrhosis F4 | 20 (19) |
A0 | 10 (10) |
A1 | 30 (29) |
A2 | 42 (41) |
A3 | 21 (20) |
Activity ≥ A2 | 63 (61) |
Steatosis > 0 | 12 (12) |
Biopsy diagnosis | |
AIH | 83 (81) |
AIH and MASLD | 1 (1) |
AIH and PBC | 19 (18) |
NITs for significant fibrosis (≥ F2) | |
FibroTest > 0.48 | 55 (53) |
FIB-4 ≥ 1.3 | 66 (64) |
VCTE ≥ 8 kPa | 61 (59) |
NITs for advanced activity (≥ A2) | |
ActiTest > 0.52 | 48 (47) |
ALT ≥ 50 | 63 (61) |
Other serum components, median (IQR) | |
ALT (IU/L) | 67 (37-160) |
AST (IU/L) | 52 (34-117) |
GGT (IU/L) | 73 (31-170) |
Total bilirubin, μmol/L | 16.7 (11-25) |
Apolipoprotein-A1 (g/L) | 1.57 (1.25-1.80) |
Haptoglobin (g/L) | 0.58 (0.56-1.30) |
Alpha-2 macroglobulin (g/L) | 2.34 (1.93-2.88) |
Platelets (g/L) | 201 (156-266) |
Table 2 Test performance according to statistical methods by features
Features and test | Obuchowski weighted AUROC mean (standard error) | Standard binary AUROC mean (95%CI) | ||
Fibrosis | 5 stages, 10 comparisons | F2, F3, F4 vs F0, F1 | F3, F4 vs F0, F1, F2 | F4 vs F0, F1, F2, F3 |
FibroTest | 0.919 (0.014) | 0.83 (0.73-0.90) | 0.83 (0.73-0.90) | 0.80 (0.68-0.88) |
VCTE | 0.933 (0.014) | 0.86 (0.77-0.92) | 0.87 (0.78-0.93) | 0.87 (0.78-0.94) |
FIB-4 | 0.882 (0.019) | 0.71 (0.60-0.80) | 0.75 (0.63-0.83) | 0.80 (0.67-0.89) |
Activity | 4 stages, 8 comparisons | A2, A3 vs A0, A1 | - | - |
ActiTest | 0.921 (0.016) | 0.86 (0.76-0.92) | - | - |
ALT | 0.905 (0.019) | 0.83 (0.73-0.90) | - | - |
Table 3 Diagnostic performance of biopsy, FibroTest, fibrosis-4 index, and vibration-controlled transient elastography for significant fibrosis (F2, F3, and F4) and advanced fibrosis (F3 and F4) compared with that of the gold standard model and Bayesian latent class model
Parameters and cutoffs | Biopsy assumed as perfect reference | Bayesian LCM | Gold standard model vs LCM |
Number of patients | 103 | 103 | Difference (Z-test P-value) |
Prevalence significant fibrosis | 63.1 (53.0-72.2) | 66.2 (56.0-77.0) | 3.1% increase (0.67) |
Biopsy stage METAVIR ≥ F2 | |||
Sensitivity | 100 | 95.4 (83.1-100) | 4.6% decrease (NA) |
Specificity | 100 | 100 (100-100) | NA (NA) |
Positive predictive value | 100 | 100 (100-100) | NA (NA) |
Negative predictive value | 100 | 91.9 (67.3-99.9) | 8.1% decrease (NA) |
FibroTest with cutoff of > 0.48 | |||
Sensitivity | 73.8 (61.2-83.6) | 73.1 (61.5-82.6) | 0.7% decrease (0.93) |
Specificity | 81.6 (65.1-91.7) | 86.1 (70.6-98.4) | 4.5% increase (0.69) |
Positive predictive value | 87.3 (74.9-94.3) | 91.1 (79.9-99.1) | 3.8% increase (0.65) |
Negative predictive value | 64.6 (49.4-77.4) | 62.0 (45.7-75.4) | 2.6% decrease (0.82) |
FIB-4 with cutoff of ≥ 1.3 | |||
Sensitivity | 69.2 (56.4-79.8) | 70.0 (58.6-80.2) | 0.8% increase (0.93) |
Specificity | 44.7 (29.0-61.5) | 49.8 (40.8-66.1) | 5.1% increase (0.58) |
Positive predictive value | 68.2 (55.4-78.8) | 73.5 (61.5-85.0) | 5.3% increase (0.55) |
Negative predictive value | 45.9 (29.8-62.9) | 46.1 (31.2-61.9) | 0.2% increase (0.99) |
VCTE with LSM cutoff of ≥ 8 kPa | |||
Sensitivity | 81.5 (69.6-89.7) | 80.7 (69.9-89.2) | 0.8% decrease (0.92) |
Specificity | 78.9 (62.2-89.9) | 83.6 (67.2-97.2) | 4.7% increase (0.69) |
Positive predictive value | 86.9 (75.2-93.8) | 90.6 (79.5-98.7) | 3.7% increase (0.65) |
Negative predictive value | 71.4 (55.2-83.8) | 68.8 (50.6-82.1) | 2.6% decrease (0.83) |
Prevalence advanced fibrosis | 42.7 (33.1-52.8) | 50.2 (37.1-65.2) | 7.5% increase (0.37) |
Biopsy stage METAVIR ≥ F3 | |||
Sensitivity | 100 | 85.2 (64.6-99.8) | 14.8% decrease (NA) |
Specificity | 100 | 100 (100-100) | NA (NA) |
Positive predictive value | 100 | 100 (100-100) | NA (NA) |
Negative predictive value | 100 | 87.0 (63.7-99.9) | 13% decrease (NA) |
FibroTest with cutoff of > 0.58 | |||
Sensitivity | 70.5 (54.6-82.8) | 66.1 (51.2-80.1) | 4.4% decrease (0.69) |
Specificity | 83.1 (70.6-91.1) | 86.4 (74.2-96.3) | 3.3% increase (0.71) |
Positive predictive value | 75.6 (59.4-87.1) | 83.3 (66.6-95.9) | 7.7% increase (0.52) |
Negative predictive value | 79.0 (66.5-87.9) | 71.9 (53.2-85.2) | 7.1% decrease (0.54) |
FIB-4 with cutoff of ≥ 2.67 | |||
Sensitivity | 38.6 (24.7-54.5) | 38.2 (25.0-52.3) | 0.4% decrease (0.97) |
Specificity | 88.1 (76.5-94.7) | 91.7 (79.9-99.5) | 3.6% increase (0.67) |
Positive predictive value | 70.8 (48.8-86.6) | 82.4 (56.5-99.2) | 11.6% increase (0.50) |
Negative predictive value | 65.8 (54.2-75.9) | 59.8 (44.2-72.6) | 6% decrease (0.55) |
VCTE with LSM cutoff of ≥ 9.5 | |||
Sensitivity | 84.1 (69.3-92.8) | 84.0 (72.2-92.9) | 0.1% decrease (0.94) |
Specificity | 72.9 (59.5-83.3) | 81.7 (65.2-98.8) | 8.8% increase (0.42) |
Positive predictive value | 69.8 (55.5-81.3) | 82.2 (62.4-99.0) | 12.4% increase (0.32) |
Negative predictive value | 86.0 (72.6-93.7) | 83.5 (69.4-92.9) | 2.5% decrease (0.80) |
Table 4 Comparison of the diagnostic performance of biopsy, ActiTest, and alanine aminotransferase for advanced activity (A2 and A3) with the gold standard model and Bayesian latent class model
Parameters and cutoffs | Biopsy assumed as perfect reference | Bayesian LCM | Gold standard model vs LCM |
Number of patients | 103 | 103 | Difference (Z-test P-value) |
Prevalence advanced activity | 61.2 (51.0-70.5) | 47.8 (37.7-58.3) | 13.4% decrease (0.07) |
Biopsy stage METAVIR ≥ A2 | |||
Sensitivity | 100 | 95.8 (87.5-99.6) | 4.2% decrease (NA) |
Specificity | 100 | 70.9 (57.4-82.3) | 29.1% decrease (NA) |
Positive predictive value | 100 | 75.1 (62.7-85.6) | 24.9% decrease (NA) |
Negative predictive value | 100 | 94.8 (84.5-99.5) | 5.2% decrease (NA) |
ActiTest with cutoff of > 0.52 | |||
Sensitivity | 73.0 (60.1-83.1) | 97.3 (85.8-100) | 24.3% increase (0.006) |
Specificity | 95.0 (81.8-99.1) | 99.4 (93.4-100) | 4.4% increase (0.59) |
Positive predictive value | 95.8 (84.6-99.3) | 99.3 (92.6-100) | 3.5% increase (0.60) |
Negative predictive value | 69.1 (55.0-80.5) | 97.7 (86.6-100) | 28.6% increase (0.002) |
ALT with cutoff of ≥ 50 | |||
Sensitivity | 81.0 (68.7-89.4) | 99.5 (95.0-100) | 18.5% increase (0.006) |
Specificity | 70.0 (53.3-82.9) | 74.3 (61.6-85.7) | 4.2% increase (0.69) |
Positive predictive value | 81.0 (68.7-89.4) | 78.0 (65.8-88.4) | 3.0% decrease (0.73) |
Negative predictive value | 70.0 (53.3-82.9) | 99.4 (94.0-100) | 29.4% increase (0.006) |
- Citation: Peta V, Sandler Y, Deckmyn O, Duroselle O, Vinnitskaya E, Khomeriki S, Noskova K, Poynard T. Diagnostic performance of FibroTest-ActiTest, transient elastography, and the fibrosis-4 index in patients with autoimmune hepatitis using histological reference. World J Hepatol 2025; 17(3): 104534
- URL: https://www.wjgnet.com/1948-5182/full/v17/i3/104534.htm
- DOI: https://dx.doi.org/10.4254/wjh.v17.i3.104534