Development and validation of pFIB scores for exclusion of significant liver fibrosis in pediatric MASLD

Sander Lefere1,2, Antonella Mosca3, Christian Hudert4

  • 1Hepatology Research Unit, Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.

PubMed

Insights

New risk scores accurately identify children with metabolic dysfunction-associated steatotic liver disease (MASLD) and significant fibrosis. These scores aid in excluding fibrosis in pediatric obesity cases, improving diagnostic accuracy.

Area of Science:

  • Pediatric Hepatology
  • Metabolic Disorders
  • Liver Fibrosis Diagnostics

Background:

  • Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common liver condition in children.
  • Accurate risk stratification tools for identifying pediatric MASLD-associated liver fibrosis are lacking.

Purpose of the Study:

  • To develop and validate novel risk scores for excluding significant liver fibrosis in children and adolescents with MASLD.
  • To compare the performance of new scores against existing noninvasive fibrosis indices.

Main Methods:

  • Prospective cohort study of 327 children and adolescents with severe obesity.
  • Development of continuous (pFIB-c) and simplified (pFIB-6) scores using logistic regression.
  • Validation in elastography (n=504) and biopsy-proven MASLD (n=261) cohorts.

Main Results:

  • The pFIB-c and pFIB-6 scores demonstrated good discriminatory capacity (c-statistics 0.839 and 0.826), outperforming existing scores.
  • Both scores achieved negative predictive values >90% for excluding significant fibrosis in derivation and elastography cohorts.
  • Performance varied in histological cohorts, with lower accuracy in tertiary referral centers.

Conclusions:

  • Novel risk scores (pFIB-c, pFIB-6) were developed using readily available clinical variables for pediatric MASLD-associated fibrosis.
  • The scores are effective in excluding fibrosis in nonselected pediatric obesity cohorts.
  • Scores performed better in general obesity populations than in highly selected tertiary referral populations.
Abstract