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OBJECTIVES: People with HIV are at increased risk for metabolic dysfunction-associated steatohepatitis (MASH). Although sex differences are documented in the general population, their role in the context of HIV is less understood. METHODS: This was a multicentre cohort study including people with HIV without viral hepatitis coinfection. A FibroScan-AST (FAST) score >0.35 was used to diagnose MASH with significant liver fibrosis (stage F2-F4). We investigated sex-based differences in MASH trends as a function of age using a segmented linear mixed-effects model. Random effects accounted for clustering by the four sites. Adjusted models included ethnicity, diabetes, hypertension, and detectable HIV viral load. RESULTS: We included 1472 people with HIV (25% women). At baseline, the prevalence of MASH with fibrosis by FAST score was lower in women than in men (4.8% vs. 9.2%, p = 0.008). Based on the adjusted model, male sex (+0.034; p = 0.04), age per year (+0.003; p = 0.05), detectable HIV viral load (+0.034; p = 0.02), and hypertension (+0.03; p = 0.01) were positively associated with MASH with fibrosis. Although men exhibited generally higher FAST scores, FAST scores increased in women during the critical biological age of presumed perimenopause to menopause (between 40 and 50 years), reaching levels similar to those in men by the age of 55 years. CONCLUSION: Despite women with HIV having a lower prevalence of MASH with fibrosis than men, they exhibit an acceleration in FAST score increase around the perimenopausal age. Future studies should target adequate consideration of sex differences in clinical investigation of metabolic dysfunction-associated steatotic liver disease to fill current gaps and implement precision medicine for people with HIV.
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BACKGROUND: Socioeconomic status (SES) is a driver of health disparities and chronic diseases. People with HIV (PWH) are at risk for chronic liver diseases. We evaluated the association between low SES and hepatic outcomes in PWH. METHODS: We included PWH from a prospective cohort. SES was assessed by the Pampalon material and social deprivation index to classify the cohort into quintiles of deprivation. Multivariable linear regression was used to investigate associations of material and social deprivation with liver stiffness measurement (LSM) and controlled attenuation parameter (CAP) as markers of hepatic fibrosis and steatosis, respectively. Incidence of outcomes was evaluated through survival analysis. RESULTS: Among the 804 PWH included, 45% and 72% were living in areas of the highest material and social deprivation, respectively. Materially deprived PWH were more frequently female and of non-white ethnicity and had higher prevalence of metabolic comorbidities. After adjustments, material deprivation correlated with increased LSM (ß = 1.86, 95% CI 0.53-3.17) but not with CAP (ß = 6.47, 95% CI -5.55-18.49). Patients were observed for a median follow-up of 3.8 years. Incidence of liver-related events was higher in most materially deprived compared to most privileged PWH (hazard ratio 3.03, 95% CI 1.03-8.92), while there was no difference in extrahepatic outcomes or all-cause mortality. Social deprivation showed no association with either LSM or clinical outcomes. CONCLUSIONS: Living in materially deprived neighbourhoods as a proxy for lower SES, is associated with LSM and liver-related events in PWH. Future strategies should explore mechanisms underlying these relationships and whether enhanced material security improves hepatic outcomes.
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OBJECTIVE: People with HIV (PWH) have high risk of liver fibrosis. We investigated the effect of weight gain and metabolic dysfunction-associated steatotic liver disease (MASLD) on liver fibrosis dynamics. DESIGN: Multicenter cohort study. METHODS: Fibrosis progression was defined as development of significant fibrosis [liver stiffness measurement (LSM) ≥8âkPa], or transition to cirrhosis (LSM ≥13âkPa), for those with significant fibrosis at baseline. Fibrosis regression was defined as transition to LSM less than 8âkPa, or to LSM less than 13âkPa for those with cirrhosis at baseline. MASLD was defined as hepatic steatosis (controlled attenuation parameter >248âdB/m) with at least one metabolic abnormality. A continuous-time multistate Markov model was used to describe transitions across fibrosis states. RESULTS: Among 1183 PWH included from three centers (25.2% with viral hepatitis coinfection), baseline prevalence of significant fibrosis and MASLD was 14.4 and 46.8%, respectively. During a median follow-up of 2.5âyears (interquartile range 1.9-3.5), the incidence rate of fibrosis progression and regression was 2.8 [95% confidence interval (CI) 2.3-3.4] and 2.2 (95% CI 1.9-2.6) per 100 person-years, respectively. In Markov model, weight gain increased the odds of fibrosis progression [odds ratio (OR) 3.11, 95% CI 1.59-6.08], whereas weight gain (OR 0.30, 95% CI 0.10-0.84) and male sex (OR 0.32, 95% CI 0.14-0.75) decreased the odds of fibrosis regression. On multivariable Cox regression analysis, predictors of fibrosis progression were weight gain [adjusted hazard ratio (aHR) 3.12, 95% CI 1.41-6.90] and MASLD (aHR 2.72, 95% CI 1.05-7.02). CONCLUSION: Fibrosis transitions are driven by metabolic health variables in PWH, independently of viral hepatitis coinfection and antiretroviral class therapy.