S2354 Diagnostic Accuracy of FIB-4 and SAFE for Detecting Fibrosis in MetALD: A Cross-Sectional NHANES Study

Introduction: Metabolic dysfunction–associated alcohol-related liver disease (MetALD) is characterized by hepatic steatosis, metabolic risk factors, and moderate alcohol intake. Simple blood-based scores like FIB-4 and SAFE may serve as first-line screening tools, but their diagnostic performance in MetALD is unclear. This study aimed to evaluate the accuracy of FIB-4 and SAFE for detecting clinically significant fibrosis in a nationally representative cohort. Methods: We conducted a cross-sectional analysis using data from the 2017–2020 National Health and Nutrition Examination Survey (NHANES). MetALD was defined as hepatic steatosis (CAP ≥288 dB/m), at least one cardiometabolic risk factor, and moderate alcohol intake (20–50 g/day for women, 30–60 g/day for men). FIB-4 (<1.3 = negative) and SAFE (<0 = negative) were assessed against significant fibrosis (LSM ≥8 kPa). Diagnostic accuracy was expressed as sensitivity, specificity, PPV, NPV, and ROC curves. AUCs were compared using DeLong’s test. Generative AI tools (ChatGPT models O1, O3) were used to assist with code development, data visualization, and proofreading. Results: A total of 484 participants met MetALD criteria, with a mean age of 47 ± 15 years; 47% were men. Clinically significant fibrosis was present in 66 (13.6%) participants. SAFE demonstrated higher sensitivity (71%) but lower specificity (52%) compared to FIB-4 (24% sensitivity, 82% specificity). The overall AUC for SAFE was 0.617 (95% CI 0.557–0.677) versus 0.529 (0.474–0.584) for FIB-4 (DeLong P = 0.008). Age stratification showed that SAFE performed better in young adults (AUC 0.688 for 18–40 years) but not in older groups (AUC 0.568 for 41–65 years, 0.510 for ≥65 years). FIB-4 showed poor discrimination across all age strata. Conclusion: SAFE outperformed FIB-4 overall in detecting significant fibrosis in MetALD, particularly in younger adults. However, both tests lost accuracy in older populations, highlighting the need for age-specific or multivariable non-invasive strategies. SAFE may be a reasonable first-line rule-out tool for younger individuals where elastography is not accessible.

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Publication Details

Journal
The American Journal of Gastroenterology
Published
2025-10-01
DOI
https://doi.org/10.14309/01.ajg.0001136876.12125.c7
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
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article

S2354 Diagnostic Accuracy of FIB-4 and SAFE for Detecting Fibrosis in MetALD: A Cross-Sectional NHANES Study

Adem Aydın, Yücel Aydın, Seyma Bilgin
The American Journal of Gastroenterology
Liver Disease Diagnosis and Treatment
article

S2354 Diagnostic Accuracy of FIB-4 and SAFE for Detecting Fibrosis in MetALD: A Cross-Sectional NHANES Study

Adem Aydın, Yücel Aydın, Seyma Bilgin
article en

Abstract

Introduction: Metabolic dysfunction–associated alcohol-related liver disease (MetALD) is characterized by hepatic steatosis, metabolic risk factors, and moderate alcohol intake. Simple blood-based scores like FIB-4 and SAFE may serve as first-line screening tools, but their diagnostic performance in MetALD is unclear. This study aimed to evaluate the accuracy of FIB-4 and SAFE for detecting clinically significant fibrosis in a nationally representative cohort. Methods: We conducted a cross-sectional analysis using data from the 2017–2020 National Health and Nutrition Examination Survey (NHANES). MetALD was defined as hepatic steatosis (CAP ≥288 dB/m), at least one cardiometabolic risk factor, and moderate alcohol intake (20–50 g/day for women, 30–60 g/day for men). FIB-4 (<1.3 = negative) and SAFE (<0 = negative) were assessed against significant fibrosis (LSM ≥8 kPa). Diagnostic accuracy was expressed as sensitivity, specificity, PPV, NPV, and ROC curves. AUCs were compared using DeLong’s test. Generative AI tools (ChatGPT models O1, O3) were used to assist with code development, data visualization, and proofreading. Results: A total of 484 participants met MetALD criteria, with a mean age of 47 ± 15 years; 47% were men. Clinically significant fibrosis was present in 66 (13.6%) participants. SAFE demonstrated higher sensitivity (71%) but lower specificity (52%) compared to FIB-4 (24% sensitivity, 82% specificity). The overall AUC for SAFE was 0.617 (95% CI 0.557–0.677) versus 0.529 (0.474–0.584) for FIB-4 (DeLong P = 0.008). Age stratification showed that SAFE performed better in young adults (AUC 0.688 for 18–40 years) but not in older groups (AUC 0.568 for 41–65 years, 0.510 for ≥65 years). FIB-4 showed poor discrimination across all age strata. Conclusion: SAFE outperformed FIB-4 overall in detecting significant fibrosis in MetALD, particularly in younger adults. However, both tests lost accuracy in older populations, highlighting the need for age-specific or multivariable non-invasive strategies. SAFE may be a reasonable first-line rule-out tool for younger individuals where elastography is not accessible.

The American Journal of GastroenterologyVol. 120(10S2)
Openalex Percentile: Top 49%
Liver Disease Diagnosis and Treatment
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S2354 Diagnostic Accuracy of FIB-4 and SAFE for Detecting Fibrosis in MetALD: A Cross-Sectional NHANES Study — Adem Aydın, Yücel Aydın, et al. · The American Journal of Gastroenterology (2025) | TGRS Research Map | TGRS