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Table · dataset · 2026

Supplemental Material for: Detecting Early Liver Fibrosis in Obesity: A Head-to-Head Comparison of Five Clinical Scores in Metabolic Dysfunction-Associated Steatotic Liver Disease

Listed in ZivaHub and Deakin Research Online and HKU DataHub and DaYta Ya Rona and figshare and Loughborough Research Repository and UP Research Data Repository — shown once because both records carry DOI 10.6084/m9.figshare.34031373.v1

<p dir="ltr">Introduction: Obesity is a major driver of metabolic dysfunction-associated steatotic liver disease (MASLD) and liver fibrosis, creating an urgent need for accurate, non-invasive tools to identify fibrosis in this high-risk population.

Description

We compared five clinical fibrosis scores (FIB-4, NFS, APRI, BARD, Hepamet) for detecting any fibrosis (F1–F4) in obese individuals at risk of MASLD and to assess whether metabolic syndrome (MetS) modifies score performance.</p><p dir="ltr">

Methods

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We performed a cross-sectional study of 95 individuals undergoing bariatric surgery with intraoperative liver biopsy as reference. FIB-4, NFS, APRI, BARD, and Hepamet were calculated using pre-operative clinical and laboratory data. Fibrosis was staged by NASH CRN criteria.

Diagnostic performance was evaluated using AUROC analysis and diagnostic measures with published and optimized (Youden index) cut-offs. The interaction between MetS and score performance was tested using logistic regression.</p><p dir="ltr">Results: Fibrosis was present in 10.5% of participants. Using published cut-offs, FIB-4 (AUROC 0.752) and Hepamet (AUROC 0.746) showed fair discrimination, while NFS and APRI performed poorly and BARD showed no meaningful discrimination.

Optimized cut-offs improved performance of FIB-4 (AUROC 0.789) and Hepamet (AUROC 0.781), both yielding high negative predictive values (>95%). BARD remained suboptimal. MetS did not significantly modify the association between any score and fibrosis.</p><p dir="ltr">Conclusions: In obese patients at risk of MASLD, FIB-4 and Hepamet provided the most reliable detection of biopsy-proven fibrosis, including early disease.

Population-specific cut-offs improved accuracy, while MetS did not affect score performance. These findings support FIB-4 and Hepamet as practical tools for early fibrosis risk stratification in obese MASLD.</p>

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75% · Medical biochemistry and metabolomics 70%
Provenance · 7 source records, 48 field assertions
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ZivaHuboai:figshare.com:article/3403137310 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3403137310 d agoJSON v1
HKU DataHuboai:figshare.com:article/3403137310 d agoJSON v1
DaYta Ya Ronaoai:figshare.com:article/3403137310 d agoJSON v1
figshareoai:figshare.com:article/340313739 d agoJSON v1
Loughborough Research Repositoryoai:figshare.com:article/340313739 d agoJSON v1
UP Research Data Repositoryoai:figshare.com:article/340313739 d agoJSON v1
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