L3 Skeletal Muscle Index Dynamics in Patients with HCV-Related Compensated Cirrhosis Following Sustained Virological Response after Direct Acting Antiviral Treatment

Background and Objectives: Sarcopenia is commonly associated with liver cirrhosis and predicts clinical outcome. Our aim was to identify the changes in skeletal muscle index (SMI) on computed tomography (CT) examination, as a quantitative marker of sarcopenia, in patients with HCV-related cirrhosis after direct acting antivirals (DAAs) treatment and to assess predictive factors for the evolution of SMI. Materials and Methods: This is a single center retrospective study in patients with HCV-related compensated cirrhosis who obtained sustained virological response (SVR) after DAAs. CT examinations were performed in 52 patients before and within 5-24 months after treatment. The total muscle area (TMA) of abdominal muscle at the level of third lumbar vertebra (L3) was measured at baseline and after SVR. The L3-SMI was calculated from TMA divided by body height squared (cm²/m²). We assessed changes in L3-SMI after SVR according to baseline body mass index (BMI) and laboratory data. Predictive factors were assessed by linear regression model. Results: Patients with L3-SMI above the gender-specific cut-off value at baseline had higher values of serum creatinine (median 0.73) compared to patients with low L3-SMI (median 0.68, p = 0.031). After SVR, 14 patients showed increase of L3-SMI, and 38 patients had a decrease of L3-SMI. BMI in the decreased L3-SMI group was significantly lower (median 26.17) than those without decreased L3-SMI (median 28.84, p = 0.021). ALT values in the decreased L3-SMI group (median 66.5) were significantly lower than those without a decrease in L3-SMI (median 88, p = 0.045). Conclusions: Low creatinine serum level correlates with sarcopenia. SMI was partially influenced by the viral clearance. Lower BMI and ALT serum levels at baseline were predictive for no benefit in terms of muscle mass dynamics. Understanding all the mechanisms involved in sarcopenia and identifying the most vulnerable patients could ensure optimal adapted care strategies.