Retrospective Study
Copyright ©The Author(s) 2021.
World J Gastroenterol. Sep 14, 2021; 27(34): 5753-5763
Published online Sep 14, 2021. doi: 10.3748/wjg.v27.i34.5753
Table 1 An overview of formulas and cutoffs for determining non-invasive marker panels for detection of liver fibrosis[10-12,21,22]
Formula
Equation
Lower cutoff
Higher cutoff
FIB-4[Age (yr) × AST (IU/L)]/{platelet count (109/L) × [ALT(IU/L)]1/2}1.32.67[11]
1.453.25[22]
APRI[(AST/ULN)/platelet count (109/L)] × 1000.51.5[21]
NFS-1.675 + 0.037 × age (yr) + 0.094 × BMI (kg/m2) + 1.13 × IFG/diabetes (yes = 1, no = 0) + 0.99 × AST/ALT-0.013 × platelet count (× 109/L) - 0.66 × albumin (g/dL)-0.6761.455[10]
BARDScale 0-4; BMI ≥ 28 kg/m2 = 1 point; AST/ALT ≥ 0.8 = 2 points; Diabetes = 1 point2[12]
Table 2 Baseline characteristics of the patients

Overall, n = 417
No/mild fibrosis, n = 261
Advanced fibrosis, n = 156
P value
Age (yr)40.54 ± 10.9539.42 ± 11.3942.41 ± 9.940.007
Male, n (%)354 (84.9)219 (83.9)135 (86.5)0.468
BMI (kg/m2)25.48 ± 2.6625.51 ± 2.5625.42 ± 2.830.757
Diabetes mellitus, n (%)82 (19.7)46 (17.6)36 (23.1)0.175
Hypertension, n (%)42 (10.1)30 (11.5)12 (7.7)0.212
ALB (g/L)42.53 ± 4.9643.65 ± 5.1440.65 ± 3.98< 0.001
GLO (g/L)29.88 ± 14.1129.11 ± 6.0031.13 ± 21.530.160
ALT (U/L)133.07 ± 199.05126.93 ± 151.37143.33 ± 260.270.416
AST (U/L)70.69 ± 85.1463.24 ± 62.1983.17 ± 112.770.021
GGT (U/L)89.64 ± 109.5888.75 ± 117.4691.11 ± 95.280.832
FPG (mmol/L)5.34 ± 1.425.28 ± 1.205.45 ± 1.730.251
Cr (μmol/L)73.41 ± 13.7174.00 ± 13.5072.41 ± 14.070.273
UA (μmol/L)368.49 ± 82.08377.02 ± 83.87353.77 ± 76.980.007
TG (mmol/L)1.67 ± 1.121.78 ± 1.451.48 ± 0.710.016
HDL-C (mmol/L)1.12 ± 0.301.12 ± 0.291.12 ± 0.330.959
PLT (× 109/L)204.00 ± 64.22221.00 ± 62.76175.52 ± 56.22< 0.001
FIB-41.48 ± 1.641.19 ± 1.651.97 ± 1.49< 0.001
APRI1.03 ± 1.720.84 ± 1.331.34 ± 2.190.003
NFS-2.16 ± 1.38-2.56 ± 1.24-1.50 ± 1.33< 0.001
BARD (%)< 0.001
0209 (50.1)145 (55.6)64 (41.0)
186 (20.6)59 (22.6)27 (17.3)
292 (22.1)48 (18.4)44 (28.2)
325 (6.0)8 (3.1)17 (10.9 )
45 (1.2)1 (0.4)4 (2.6)
Table 3 Comparison of the diagnostic value among fibrosis-4 index, nonalcoholic fatty liver disease fibrosis score, aspartate aminotransferase to platelet ratio index, and body mass index, aspartate aminotransferase/alanine aminotransferase ratio, diabetes score in metabolic associated fatty liver disease

Cutoffs
AUROC
Accuracy, %
Advanced fibrosis being missed, %1
Sensitivity, %
Specificity, %
PPV, %
NPV, %
Youden index
FIB-41.050.73666.220.373.761.753.579.70.354
1.3068.125.457.774.357.374.60.320
1.4568.826.552.678.559.473.50.311
2.6766.234.117.395.469.265.90.127
3.2566.734.414.198.181.565.60.122
NFS-2.1000.72468.120.970.566.755.879.10.372
-1.45566.229.544.978.956.070.60.238
0.67663.836.54.599.277.863.50.037
APRI0.420.67158.320.081.444.446.780.00.258
0.5059.224.771.252.547.275.30.237
1.5063.334.622.487.752.265.40.101
BARD20.60964.530.841.778.253.369.20.199
Table 4 Comparison of the diagnostic value among fibrosis-4 index, non-alcoholic fatty liver disease fibrosis score, aspartate aminotransferase to platelet ratio index, and body mass index, aspartate aminotransferase/alanine aminotransferase ratio, diabetes score in hepatitis B virus-metabolic associated fatty liver disease (group A) and pure metabolic associated fatty liver disease (group B) subgroups

Cutoffs
AUROC
Accuracy, %
Sensitivity, %
Specificity, %
PPV, %
NPV, %


A
B
A
B
A
B
A
B
A
B
A
B
FIB-41.050.7380.65867.756.974.855.662.757.158.219.278.287.5
1.3068.267.258.544.475.071.461.922.272.387.5
1.4568.570.754.422.278.379.663.516.771.284.8
2.6763.284.517.022.295.395.971.450.062.387.0
3.2563.586.213.622.298.198.083.366.762.187.3
NFS-2.1000.7250.69268.267.270.177.867.065.359.529.276.394.1
-1.45564.974.144.255.679.277.659.631.367.290.5
0.67660.484.54.111.199.598.085.750.059.985.7
APRI0.420.6710.63359.351.781.677.843.946.950.221.277.592.0
0.5060.255.270.777.852.851.051.022.672.392.6
1.5061.077.623.111.187.389.855.716.762.184.6
BARD20.6090.64463.074.142.233.377.481.656.425.065.987.0