Background/Aims: Sarcopenia is associated with liver fibrosis in patients with nonalcoholic fatty liver disease and chronic hepatitis B. We investigated the association between sarcopenia and hepatic fibrotic burden in patients with type 2 diabetes mellitus (T2DM). Methods: Patients with T2DM who had received a comprehensive medical health checkup were recruited. Muscle mass was assessed using computed tomography. Fibrotic burden was assessed using the fibrosis-4 index (FIB-4). The study population was divided by quartile stratification of the lumbar skeletal muscle index (LSMI). Results: Among 309 patients with T2DM, 75 (24.3%) had sarcopenia. These patients were significantly older and had higher FIB-4, whereas they had significantly lower body mass index (BMI) and LSMI than patients without sarcopenia (all p<0.05). The LSMI showed a significant negative correlation with the FIB-4 when analyzed in terms of quartile stratification (p=0.003). Multivariate analysis showed that female sex and higher BMI were independently associated with a reduced risk of sarcopenia (odds ratio [OR], 0.388; 95% confidence interval [CI], 0.199 to 0.755 and OR, 0.704; 95% CI, 0.618 to 0.801; all p<0.05), whereas a higher FIB-4 was independently associated with an increased risk of sarcopenia (OR, 1.817; 95% CI, 1.180 to 2.797; p=0.007). Among patients with a BMI <25 kg/m2 (n=165), those with sarcopenia (n=54, 32.7%) had a significantly higher FIB-4 than those without (n=111, 67.3%; 1.66 vs 1.38, p=0.004). Conclusions: Sarcopenia is independently associated with fibrotic burden in patients with T2DM. Further studies should investigate whether the improvement of sarcopenia can ameliorate liver fibrosis in patients with T2DM.
Bibliographical noteFunding Information:
This work was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute, which is funded by the Ministry of Health Welfare, Republic of Korea (HI15C2859) (J.Y.P) and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2019R1A2C4070136) (S.U.K).
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