Copyright
©The Author(s) 2015.
World J Hepatol. May 28, 2015; 7(9): 1192-1208
Published online May 28, 2015. doi: 10.4254/wjh.v7.i9.1192
Published online May 28, 2015. doi: 10.4254/wjh.v7.i9.1192
Pathogenic mechanism | Biomarker | NASH | Advanced fibrosis | Ref. | |
Hepatocyte apoptosis | Apoptotic markers | CK-18 ↑ | X | El Bassat et al[11] | |
sFas ↑ | X | ||||
Oxidative stress | Lipid peroxidation products | Ox-LDL ↑ | X | Kawanaka et al[12] | |
TBARS ↑ | X | Machado et al[13] | |||
MDA ↑ | X | ||||
HNE ↑ | X | ||||
Indicators of altered redox potential | GSH ↑ | X | |||
SOD ↓ | X | ||||
TRX ↑ | X | ||||
Chronic inflammation | Acute phase reactants | CRP | X | Jarrar et al[14] | |
Ferritin | X | Braunersreuther et al[15] | |||
PTX3 | X | ||||
Adipocytokines | Leptin | X | |||
Adiponectin | X | ||||
TNF-α | X | ||||
IL-1β | X | ||||
IL-6 | X | ||||
TGF-α/β1 | X | ||||
Increased hepatocellular turnover | Extracellular matrix components | HA | X | Baranova et al[16] | |
Laminin | X | ||||
Type IV collagen 7S | X | ||||
PIIINP | X | ||||
MMP-2/9 | X | ||||
TIMP-1 | X |
Biomarker panel | Components | Formula | AUC | Ref. |
HAIR score | Hypertension | Weighted sum (0-4) | 0.9 | Dixon et al[52] |
Elevated ALT (> 40 IU/L) | ||||
Insulin Resistance (index > 5) | ||||
Gholam's model | DM II | Algorithm | 0.9 | Gholam et al[53] |
AST level | ||||
NASH clinical scoring system for morbid obesity | Hypertension | Weighted sum (0-7) | Not reported | Campos et al[54] |
DM II | ||||
Elevated AST (> 27 IU/L) | ||||
Elevated ALT (> 27 IU/L) | ||||
OSA | ||||
non-black race | ||||
Ulitsky's score | DM II | Weighted sum (0-5) | Not reported | Ulitsky et al[55] |
Elevated ALT (> 40 IU/L) | ||||
Elevated triglycerides (> 150 mg/dL) | ||||
OSA | ||||
NASH predictive index | Female sex | Algorithm | 0.78 | Zein et al[56] |
Body mass index | ||||
HOMA-IR | ||||
AST levels | ||||
ALT levels |
Biomarker panel | Components | Formula | Validated in adult NAFLD | Ref. |
APRI index | AST, platelet count | Ratio | √ | Kruger et al[96] |
BAAT score | Age, BMI, ALT, triglycerides | Weighted sum | √ | Ratziu et al[97] |
BARD score | BMI, AST, ALT, DM II | Weighted sum | √ | Harrison et al[98] |
Cirrhosis discrimination score | AST, ALT, platelet count, INR | Weighted sum | × | Udell et al[99] |
FIB-4 index | Age, AST, ALT, platelet count | Algorithm | √ | Shah et al[100] |
Fibrosis probability index | Age, AST, previous alcohol use, HOMA-IR, cholesterol | Algorithm | × | Sud et al[101] |
Forns index | Age, platelet count, GGT, cholesterol | Algorithm | √ | Forns et al[102] |
Gholam's score | ALT, HbA1C | Weighted score | √ | Gholam et al[53] |
Hui model | BMI, bilirubin, albumin, platelet count | Algorithm | × | Hui et al[103] |
King score | Age, AST, platelet count, INR | Algorithm | × | Cross et al[104] |
Lok index | AST, ALT, platelet count, INR | Algorithm | × | Lok et al[105] |
NAFLD fibrosis score | Age, BMI, platelet count, albumin, AAR, IFG/DM II | Algorithm | √ | Angulo et al[106] |
- Citation: Lückhoff HK, Kruger FC, Kotze MJ. Composite prognostic models across the non-alcoholic fatty liver disease spectrum: Clinical application in developing countries. World J Hepatol 2015; 7(9): 1192-1208
- URL: https://www.wjgnet.com/1948-5182/full/v7/i9/1192.htm
- DOI: https://dx.doi.org/10.4254/wjh.v7.i9.1192