Browsing by Author "Tincopa, Monica"

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    Clinical trial design, biomarkers and end points in metabolic and alcohol-related liver disease
    (2025) Díaz Piga, Luis Antonio; Thiele, Maja; Louvet, Alexandre; Lee, Brian P.; Ajmera, Veeral; Tavaglione, Federica; Hsu, Cynthia L.; Huang, Daniel Q.; Pose, Elisa; Bataller, Ramon; McClain, Craig; Mellinger, Jessica; Tincopa, Monica; Mitchell, Mack C.; Ratziu, Vlad; Rinella, Mary E.; Sarin, Shiv K.; Shah, Vijay H.; Szabo, Gyongyi; Wong, Vincent Wai-Sun; Bansal, Meena B.; Leggio, Lorenzo; Kamath, Patrick S.; Krag, Aleksander; Sanyal, Arun J.; Arrese, Marco; Arab Verdugo, Juan Pablo; Anstee, Quentin M.; Mathurin, Philippe; Loomba, Rohit
    Metabolic and alcohol-related liver disease (MetALD) is a newly defined entity within the spectrum of steatotic liver disease, characterized by the interplay of cardiometabolic risk factors and alcohol consumption. The evolving epidemiology and complex pathophysiology of MetALD present unique challenges and opportunities for clinical trial design. Inclusion criteria should require simultaneous evidence of metabolic dysfunction (at least two cardiometabolic features) and verified quantifiable alcohol exposure recorded over the preceding 3–6 months. Traditional histological end points are limited by invasiveness, sampling error and interpretative variability. Thus, imaging modalities, serum-based fibrosis biomarkers and quantitative measures of alcohol intake are gaining relevance as non-invasive, reproducible and patient-centric end points aiming to improve trial feasibility. Furthermore, incorporating alcohol biomarkers, stratifying patients by metabolic risk factor burden, and using adaptive designs of trials might enhance the precision and generalizability of MetALD clinical trials. Although uncertainties remain regarding optimal patient selection criteria, event rates and the dynamic interplay between metabolic dysfunction and alcohol intake, ongoing research efforts aim to refine diagnostic criteria, standardize methodologies and validate novel end points. These advances will ultimately accelerate drug development, improve trial efficiency and foster interventions to treat MetALD.
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    Noninvasive pathway for stratifying fibrosis in suspected metabolic dysfunction and alcohol-associated liver disease (MetALD)
    (2025) Diaz Piga, Luis Antonio; Tavaglione, Federica; Mittal, Nikita; Bettencourt, Ricki; Amangurbanova, Maral; Johnson, Amy; Marti-Aguado, David; Tincopa, Monica; Loomba, Ria; Khan-Riches, Asma; Madamba, Egbert; Siddiqi, Harris; Richards, Lisa; Sirlin, Claude B.; Ajmera, Veeral; Loomba, Rohit
    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.