Mohanty, Arpan

ABSTRACT Background Metabolic dysfunction‐associated steatotic liver disease (MASLD) exhibits marked heterogeneity in fibrosis progression and liver‐related outcomes. Liver biopsy is not feasible for longitudinal risk stratification at scale, creating a need for validated non‐invasive biomarkers, particularly imaging biomarkers, that can predict clinically meaningful disease progression and liver‐related outcomes. Aims To describe the design and rationale of the GOLDMINE study, established to determine whether non‐invasive imaging biomarkers predict MASLD progression and liver‐related clinical outcomes. Methods GOLDMINE is an investigator‐initiated, multi‐centre, international longitudinal cohort enrolling up to 1000 adults with either biopsy‐proven MASLD or MASLD cirrhosis across the full fibrosis spectrum. Participants are recruited from 15 sites in the US and 4 international sites (Japan, Singapore and France). At baseline, participants undergo clinical phenotyping, vibration‐controlled transient elastography, and advanced magnetic resonance imaging (MRI), including proton‐density‐fat‐fraction and magnetic resonance elastography (MRE). MRI (and biospecimen banking) is repeated at 2‐year intervals (years 2 and 4), with annual follow‐up visits for up to 10 years. Baseline liver histology is centrally processed, digitized and reviewed by a single expert hepatopathologist; all MRI/MREs are centrally interpreted. Results The prespecified clinical outcomes include progression to cirrhosis, clinically significant portal hypertension, major adverse liver‐related outcomes (ascites, hepatic encephalopathy, portal hypertensive bleeding, liver transplantation/qualification), hepatocellular carcinoma, major adverse cardiovascular events, and all‐cause mortality, with independent central adjudication of all events. Conclusions GOLDMINE establishes a rigorously phenotyped MASLD cohort integrating centralized histology, advanced MRI‐based biomarkers, longitudinal biobanking, and adjudicated outcomes, providing a platform to validate imaging and blood‐based prognostic biomarkers in MASLD.

Background. Understanding the predictors of mortality in individuals with human immunodeficiency virus and hepatitis C virus (HIV/HCV) coinfection can be useful in management of these patients. Methods. We used the Electronically Retrieved Cohort of HCV Infected Veterans (ERCHIVES) for these analyses. Multivariate Cox-regression models were used to determine predictors of mortality. Results. Among 8,039 HIV infected veterans, 5251 (65.3%) had HCV coinfection. The all-cause mortality rate was 74.1 (70.4–77.9) per 1000 person-years (PY) among veterans with HIV/HCV coinfection and 39.8 (36.3–43.6) per 1000 PY for veterans with HIV monoinfection. The multivariable adjusted hazard ratio (95% confidence interval) of all-cause mortality for HCV infection was 1.58 (1.36–1.84). Positive predictors of mortality included decompensated liver disease (2.33 (1.98–2.74)), coronary artery disease (1.74 (1.32–2.28)), chronic kidney disease (1.62 (1.36–1.92)), and anemia (1.58 (1.31–1.89)). Factors associated with reduced mortality included HCV treatment (0.41 (0.27–0.63)) and higher CD4 count (0.90 (0.87–0.93) per 100 cells/μL higher count). Data were insufficient to make informative analyses of the role of HCV virologic response. Conclusion. HCV coinfection was associated with substantial increased risk of mortality among HIV infected veterans. HCV treatment was associated with significantly lower risk of mortality.