Non-invasive prediction of significant hepatic fibrosis in individuals with chronic hepatitis C infection using fibrosis risk score and machine learning models

Table 3 Newly developed fibrosis risk score system and its scoring scheme

Parameter		Points
Platelet count < 150 × 109/L		5
AST > 45 U/L		3
Serum albumin < 3.5 g/dL		3
Total cholesterol < 140 mg/dL		3
LDL < 80 mg/dL		3
ALP > 75 U/L		2
GGT > 40 U/L		1
Interpretation of the score
Total score	Risk category	Interpretation
< 5	Low risk	Minimal risk of significant fibrosis
≥ 5 and < 9	Intermediate risk	Borderline risk → further evaluation suggested
9-20	High risk	Strongly predictive of F2-F4 fibrosis

AST: Aspartate aminotransferase; GGT: γ-glutamyl transferase; ALP: Alkaline phosphatase; LDL: Low-density lipoprotein.