The effect of weight gain and metabolic dysfunction-associated steatotic liver disease on liver fibrosis progression and regression in people with HIV

Author:

Guaraldi Giovanni1,Milic Jovana1,Renzetti Stefano2,Motta Federico3,Cinque Felice45,Bischoff Jenny6,Desilani Andrea7,Conti Jacopo7,Medioli Filippo7,del Monte Martina7,Kablawi Dana45,Elgretli Wesal8,Calza Stefano9,Mussini Cristina1,Rockstroh Juergen K.6,Sebastiani Giada458

Affiliation:

1. Modena HIV Metabolic Clinic, University of Modena and Reggio Emilia, Modena

2. Department of Medical-Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia

3. Department of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, Modena, Italy

4. Division of Gastroenterology and Hepatology, McGill University Health Centre

5. Chronic Viral Illness Service, Division of Infectious Diseases, Department of Medicine, McGill University Health Centre, Montreal, Canada

6. Department of Internal Medicine I, Venusberg Campus 1, University Hospital Bonn, Bonn Germany

7. Infectious Diseases Clinic, Azienda Ospedaliero-Universitaria, Policlinico of Modena, Modena, Italy

8. Division of Experimental Medicine, McGill University, Montreal, Canada

9. Unit of Biostatistics and Bioinformatics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.

Abstract

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) ≥8 kPa], or transition to cirrhosis (LSM ≥13 kPa), for those with significant fibrosis at baseline. Fibrosis regression was defined as transition to LSM less than 8 kPa, or to LSM less than 13 kPa for those with cirrhosis at baseline. MASLD was defined as hepatic steatosis (controlled attenuation parameter >248 dB/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 2.5 years (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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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