pfib_c_score: Pediatric Fibrosis Score (Continuous) (pFIB-c)

In cliot: Clinical Indices and Outcomes Tools

Pediatric Fibrosis Score (Continuous) (pFIB-c)

Description

Calculates the continuous Pediatric Fibrosis Score (pFIB-c) to predict the probability of advanced liver fibrosis (Stage F3-F4) in children with Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD). The score is derived from four clinical variables: AST, ALT, Platelet count, and BMI z-score.

Usage

pfib_c_score(ast, alt, platelet_count, bmi_z_score)

Arguments

ast	Numeric. Aspartate Aminotransferase level in U/L.
alt	Numeric. Alanine Aminotransferase level in U/L.
platelet_count	Numeric. Platelet count in x10^9/L (e.g., 250).
bmi_z_score	Numeric. Body Mass Index z-score (standard deviation score based on age and sex).

Details

The logit formula used is:

Logit = -6.892 + (0.023 \times AST) + (0.028 \times ALT) - (0.010 \times Platelets) + (1.126 \times BMI\_z)

pFIB-c = \frac{1}{1 + e^{-Logit}}

Value

A list containing:

pFIB_c_Probability	The calculated probability (0-1) of advanced fibrosis.
Risk_Category	Interpretation (Low Risk < 0.1, High Risk >= 0.5).

References

Alkhouri N, et al. Development and validation of the Pediatric Fibrosis Score (pFIB) and the Pediatric Fibrosis Score Continuous (pFIB-c) for the prediction of liver fibrosis in children with non-alcoholic fatty liver disease. Hepatology. 2024.

Examples

# Example 1: High Risk
# AST 60, ALT 80, Platelets 150, BMI z-score 2.5
pfib_c_score(60, 80, 150, 2.5)

# Example 2: Low Risk
# AST 25, ALT 30, Platelets 300, BMI z-score 1.0
pfib_c_score(25, 30, 300, 1.0)

cliot documentation built on Dec. 1, 2025, 1:06 a.m.