# Discordance Between FIB-4 and BAST Fibrosis Risk Classifications in Obese Patients with MASLD: Results from the OBREDI-TR Study

**Authors:** Ozge Kama Basci, Alihan Oral, Ali Kirik, Hacer Sen, Ihsan Solmaz, Ulas Serkan Topaloglu, Ismail Demir, Ahmet Dundar, Emine Binnetoglu, Nalan Okuroglu, Ahmet Aydin, Zeynep Irmak Kaya, Hamit Yildiz, Aycan Acet, Gokhan Tazegul, Osman Ozudogru, Kubilay Issever, Selcuk Yaylacı, Ugur Bayram Korkmaz, Nur Duzen Oflas, Celalettin Küçük, Kamil Konur, Teslime Ayaz, Aysun Isiklar, Esref Arac, Hilmi Erdem Sumbul, Hüseyin Ali Öztürk, Ali Burak Govez, Yusuf Usame Durmus, Atilla Onmez, Sibel Ocak Serin, Nizameddin Koca, Nazif Yalcin, Aysegul Ertinmaz, Alper Tuna Guven, Mehmet Kok, Yasin Sahinturk, Seyit Uyar, Hasan Sözel

PMC · DOI: 10.3390/diagnostics16040547 · 2026-02-12

## TL;DR

In obese patients with liver disease, FIB-4 and BAST scores often disagree, with FIB-4 underestimating risk in severe obesity.

## Contribution

Identifies systematic discordance between FIB-4 and BAST in fibrosis risk assessment for obese MASLD patients.

## Key findings

- Overall agreement between FIB-4 and BAST was very poor (κ = 0.041).
- Discordance increased with obesity severity, especially in class III obesity.
- Discordant patients had significantly higher visceral adiposity index values.

## Abstract

Background/Objectives: Non-invasive fibrosis scores are widely used for risk stratification in metabolic dysfunction-associated steatotic liver disease (MASLD); however, their performance in obese individuals remains controversial. The Fibrosis-4 (FIB-4) index is commonly recommended as a first-line tool, yet it may underestimate fibrosis risk in severe obesity. The BAST score, which incorporates metabolic and anthropometric parameters, has been proposed as an alternative. This study aimed to characterize both the degree and direction of discordance between FIB-4 and BAST in obese patients with MASLD. Methods: This predefined secondary analysis included 2950 adults with obesity (BMI ≥ 30 kg/m2) and MASLD from the multicenter OBREDI-TR cohort. Fibrosis risk categories were assigned using standard cut-offs for FIB-4 and BAST, and agreement was assessed using weighted Cohen’s kappa. Associations among discordance patterns, obesity class, and the visceral adiposity index (VAI) were evaluated using chi-square tests and general linear models. Results: Overall agreement between FIB-4 and BAST was very poor (κ = 0.041, p < 0.001). Discordance was observed in 22.3% of patients and increased markedly with obesity severity. In class III obesity, discordance was predominantly driven by low-risk classification according to FIB-4 despite high-risk classification according to BAST. Patients with this discordant pattern exhibited significantly higher VAI values than concordant cases (p < 0.001), independently of the study center. Conclusions: In obese patients with MASLD, particularly those with morbid obesity, FIB-4 frequently classifies patients as low risk, while BAST identifies elevated fibrosis risk. This systematic discordance suggests that FIB-4 may underestimate fibrosis burden in the context of severe obesity and visceral adiposity, supporting the need for a phenotype-oriented, multimodal approach to fibrosis risk assessment.

## Linked entities

- **Diseases:** metabolic dysfunction-associated steatotic liver disease (MONDO:0013209), MASLD (MONDO:0013209)

## Full-text entities

- **Genes:** SLC17A5 (solute carrier family 17 member 5) [NCBI Gene 26503] {aka AST, ISSD, NSD, SD, SIALIN, SIASD}, GPT (glutamic--pyruvic transaminase) [NCBI Gene 2875] {aka AAT1, ALT, ALT1, GPT1, SGPT}
- **Diseases:** hypertriglyceridemia (MESH:D015228), autoimmune hepatitis (MESH:D019693), class III (MESH:D008313), morbid obesity (MESH:D009767), coronary atherosclerosis (MESH:D003324), drug-induced liver injury (MESH:D056486), adipose tissue dysfunction (MESH:D018205), T2DM (MESH:D003924), insulin resistance (MESH:D007333), chronic viral hepatitis (MESH:D006525), atherosclerosis (MESH:D050197), hypertension (MESH:D006973), biochemical abnormalities (MESH:D000014), visceral adipose dysfunction (MESH:D007418), Metabolic dysfunction (MESH:D008659), overweight (MESH:D050177), OBREDI-TR (MESH:D009765), Hepatic steatosis (MESH:D005234), Liver Fibrosis (MESH:D008103), malignancy (MESH:D009369), morbid (OMIM:614963), diabetes (MESH:D003920), NAFLD (MESH:D065626), dyslipidemia (MESH:D050171), hereditary liver disorders (MESH:D009386), metabolic syndrome (MESH:D024821), Fibrosis (MESH:D005355), hepatic inflammation (MESH:D007249), MASLD (MESH:D008107), injury to (MESH:D014947)
- **Chemicals:** alcohol (MESH:D000438), Ahmet Aydin (-), cholesterol (MESH:D002784), TG (MESH:D014280)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12939928/full.md

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Source: https://tomesphere.com/paper/PMC12939928