Performance of Blood-Based Indirect Scores Compared to Transient Elastography in Children with Chronic Liver Disease

Alexandru-Ștefan Niculae1, Alina Grama1, Monica Lupșor-Platon2,3

  • 12nd Department of Pediatrics, Iuliu Hațieganu University of Medicine and Pharmacy, 3-5 Crișan Street, 400177 Cluj-Napoca, Romania.

Insights

Simple indirect fibrosis scores like GPR and APRI show high accuracy in identifying advanced liver fibrosis in children, serving as effective initial screening tools when transient elastography is unavailable.

Area of Science:

  • Pediatric Gastroenterology and Hepatology
  • Biomarker Discovery
  • Non-invasive Diagnostics

Background:

  • Chronic liver disease (CLD) in children necessitates ongoing monitoring.
  • Current diagnostic methods like liver biopsy and transient elastography (TE) are resource-intensive.
  • Non-invasive fibrosis scores using routine labs are cost-effective but underevaluated in pediatric CLD.

Purpose of the Study:

  • To evaluate indirect fibrosis scores for predicting significant (F2+), advanced (F3+), and cirrhotic (F4) fibrosis in pediatric CLD.
  • To compare the performance of various indirect scores against transient elastography (TE).

Main Methods:

  • Retrospective analysis of pediatric CLD patients (Jan 2023 - June 2025).
  • Calculation of indirect fibrosis scores (APRI, FIB-4, FibroIndex, FORNS, GPR, GUCI, King's, Lok's) using routine lab data.
  • Receiver operating characteristic (ROC) analysis to assess diagnostic accuracy against TE findings.

Main Results:

  • GPR demonstrated the highest concordance with TE for significant (AUROC 0.835) and advanced fibrosis (AUROC 0.917).
  • Optimized cut-offs for GPR and APRI showed high negative predictive values (up to 100%) and sensitivity for advanced fibrosis.
  • Lok's Index performed best for cirrhosis detection (AUROC 0.854).

Conclusions:

  • Simple indirect scores, especially GPR, APRI, and FibroIndex, are reliable first-line screening tools for pediatric CLD fibrosis when TE is unavailable.
  • High negative predictive values allow confident exclusion of severe disease, potentially reducing invasive testing.
  • Low positive predictive values limit their use in definitive diagnosis, highlighting the need for pediatric-specific biomarkers.