Department of Family Medicine, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju, 26426, Republic of Korea.
The Study of Obesity and Metabolic Syndrome, Korean Academy of Family Medicine, Wonju, Republic of Korea.
Sci Rep. 2023 Jan 30;13(1):1645. doi: 10.1038/s41598-023-28751-5.
Several studies have attempted to validate the relationship between hepatic steatosis and sarcopenia. The crucial limitation is to establish the status of hepatic steatosis by costly or invasive methods. Therefore, several models predicting non-alcoholic fatty liver disease (NAFLD) have been developed but have exhibited heterogeneous results. In this study, we aimed to review and compare four representative models and analyze their relationship with the risk of low muscle mass. Korea National Health and Nutrition Examination Surveys from 2008 to 2011 were used to confirm our hypothesis. Dual-energy X-ray absorptiometry was used to measure the amount of skeletal muscle mass. We used four hepatic steatosis indices: hepatic steatosis index (HSI), Framingham steatosis index (FSI), liver fat score (LFS), and fatty liver index (FLI). Multivariate linear and logistic regressions were used to reveal the relationship between NAFLD and low skeletal muscle index (LSMI). Pairs of FSI-FLI and HSI-FLI exhibited the best and second-best correlations among all possible pairs. The four hepatic steatosis models were associated with increased risk for LSMI. After removing the body mass index effect, HSI and FLI remained robust predictors for LSMI. NAFLD was a significant and potent risk factor for low skeletal muscle.
多项研究试图验证肝脂肪变性与肌肉减少症之间的关系。关键的局限性在于通过昂贵或有创的方法来确定肝脂肪变性的状态。因此,已经开发出了几种预测非酒精性脂肪性肝病 (NAFLD) 的模型,但结果存在异质性。在这项研究中,我们旨在回顾和比较四个有代表性的模型,并分析它们与低肌肉量风险的关系。使用 2008 年至 2011 年的韩国国家健康和营养检查调查来验证我们的假设。双能 X 射线吸收法用于测量骨骼肌量。我们使用了四个肝脂肪变性指数:肝脂肪变性指数 (HSI)、弗雷明汉脂肪变性指数 (FSI)、肝脂肪评分 (LFS) 和脂肪肝指数 (FLI)。多元线性和逻辑回归用于揭示 NAFLD 与低骨骼肌指数 (LSMI) 之间的关系。在所有可能的配对中,FSI-FLI 和 HSI-FLI 表现出最佳和第二佳相关性。四种肝脂肪变性模型与 LSMI 风险增加相关。在去除体重指数效应后,HSI 和 FLI 仍然是 LSMI 的强大预测因子。NAFLD 是低骨骼肌的显著和有力的危险因素。