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
Table 1 Peripheral biomarkers used for the assessment of necro-inflammation and fibrotic injury in non-alcoholic fatty liver disease
| 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 | ||||
Table 2 Composite diagnostic models for non-alcoholic steatohepatitis
| 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 |
Table 3 Composite predictive models for advanced hepatic fibrosis in chronic liver disease
| 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
