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Muscle alterations are independently associated with significant fibrosis in patients with nonalcoholic fatty liver disease

医学 非酒精性脂肪肝 纤维化 内科学 肌萎缩 胃肠病学 脂肪肝 体质指数 骨骼肌 脂肪组织 前瞻性队列研究 病理 内分泌学 疾病
作者
Yun‐Cheng Hsieh,Sae Kyung Joo,Bo Kyung Koo,Han‐Chieh Lin,Won Kim
出处
期刊:Liver International [Wiley]
卷期号:41 (3): 494-504 被引量:37
标识
DOI:10.1111/liv.14719
摘要

Abstract Background & Aim Anthropometric data are associated with nonalcoholic fatty liver disease (NAFLD) development and progression. We investigated whether the quantity and quality of muscle and visceral fat assessed by computed tomography (CT) are associated with fibrosis severity in NAFLD. Methods In a prospective biopsy‐confirmed NAFLD cohort of 521 patients, we measured skeletal muscle index (SMI), muscle attenuation (MA) and visceral adipose tissue index (VATI) via CT. Low skeletal muscle mass (LSMM) was defined using previously validated cut‐offs. Myosteatosis and visceral adiposity were defined as the lowest and highest quartile, respectively. Significant fibrosis was defined as F2‐F4 in liver histology. Results Patients with significant fibrosis had lower SMI and MA and higher VATI than those without. The significant fibrosis prevalence was significantly higher in subjects with LSMM (45.1% vs 30.8%, P = .005), myosteatosis (46.1% vs 29.7%, P = .001) and visceral adiposity (46.9% vs 29.9%, P = .001) than those without. The significant fibrosis risk increased with increasing numbers of body composition components (24.5%, 35.6%, 53.0% and 72.7% in patients with 0, 1, 2 and 3 components respectively). Multivariable analysis revealed that LSMM (OR, 1.72; 95% CI, 1.05‐2.84), myosteatosis (OR, 1.65; 95% CI, 1.01‐2.68) and visceral adiposity (OR, 1.75; 95% CI, 1.09‐2.83) were independent predictors of significant fibrosis. Subjects with sarcopenia had a higher risk of significant fibrosis (OR, 2.17; 95% CI, 1.03‐4.56). Conclusion Muscle alterations and visceral adiposity assessed by CT are associated with significant fibrosis in NAFLD. LSMM and myosteatosis have additive values in prediction of significant fibrosis.

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