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Updated: May 22, 2025
3D Imaging of the Liver Extracellular Matrix in a Mouse Model of Non-Alcoholic Steatohepatitis
Published on: February 25, 2022
Noninvasive pathway for stratifying fibrosis in suspected metabolic dysfunction and alcohol-associated liver disease
Luis Antonio Díaz1,2, Federica Tavaglione1, Nikita Mittal1
1MASLD Research Center, Division of Gastroenterology and Hepatology, Department of Medicine, University of California at San Diego, La Jolla, California, USA.
Background:
Metabolic dysfunction and alcohol-associated liver disease (MetALD) may increase liver fibrosis progression, but data on screening are scarce. We aimed to assess the performance of noninvasive tests (NITs) for detecting significant fibrosis in individuals with suspected MetALD.
Methods:
This is a cross-sectional study of prospectively enrolled adults identified as overweight or obese. We included adults with suspected MetALD defined by ≥1 of 5 cardiometabolic criteria and self-reported alcohol use within MetALD ranges or lower self-reported alcohol use but with phosphatidylethanol (PEth) levels ≥25 ng/mL. Clinical assessment included contemporaneous magnetic resonance elastography (MRE) and vibration-controlled transient elastography (VCTE). Significant fibrosis was defined as MRE ≥3.14 kPa (or VCTE ≥7.6 kPa if MRE was missing). Analyses included AUROCs.
Results:
Among 617 individuals screened, we identified 97 (15.7%) with suspected MetALD. The mean age was 50.6±12.8 years, 67% were men, the mean body mass index was 31.4±6.5 kg/m2, 12.4% had diabetes, and 8% had significant fibrosis. Fibrosis-4 ≥1.3 demonstrated good performance for significant fibrosis (AUROC: 0.78, 95% CI: 0.58-0.98, sensitivity 80%, specificity 76%, positive predictive value 17%, and negative predictive value 98%). VCTE ≥8 kPa also had good performance (AUROC: 0.85, 95% CI: 0.66-1.00, sensitivity 80%, specificity 91%, positive predictive value 36%, and negative predictive value 99%). A stepwise approach using fibrosis-4 followed by VCTE yielded a low false negative rate (2% misclassified as low risk).
Conclusions:
A clinical care algorithm utilizing a stepwise approach with fibrosis-4 and VCTE shows adequate performance in detecting significant fibrosis in individuals with suspected MetALD.
