4.5 Article

Comparison of bioelectrical impedance analysis, mass index, and waist circumference in assessing risk for non-alcoholic steatohepatitis

期刊

NUTRITION
卷 93, 期 -, 页码 -

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.nut.2021.111491

关键词

Non-alcoholic fatty liver disease; Non-alcoholic steatohepatitis; Bioelectrical impedance analysis; Body mass index; Waist circumference

资金

  1. Canadian Institutes of Health Research [NMD-86922, MOP-89705]
  2. American College of Gastroenterology

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The study aimed to compare the effectiveness of bioelectrical impedance analysis (BIA), body mass index (BMI), and waist circumference (WC) in assessing the risk for nonalcoholic steatohepatitis (NASH). Results showed that all three methods were comparable in evaluating the risk for NASH, with using BMI being acceptable in clinical settings.
Objective: Non-alcoholic fatty liver disease is a leading cause of liver disease worldwide and includes nonalcoholic steatohepatitis (NASH), which can progress to cirrhosis. Because NASH is associated with obesity severity, routine evaluation of obesity/body fat in clinical settings may help detect patients at risk. The aim of this study was to determine whether assessing body fat by bioelectrical impedance analysis (BIA) is superior to body mass index (BMI) and waist circumference (WC) in assessing the risk for NASH. Methods: In this cross-sectional study, patients were recruited and gave consent from a local hospital. All had a liver biopsy. Measurements before the biopsy included BMI, WC, and BIA. BIA was used to measure percentage body fat and fat mass (kg). Based on histology, patients were grouped into one of three categories: simple steatosis (SS), NASH, or normal liver (NL). Results: Of the 139 participants who participated, 39 were classified as SS, 53 as NASH, and 47 as NL. Regardless of sex, patients with NASH had significantly higher BMI, WC, percentage body fat and fat mass than those with NL or SS. These four parameters were significantly positively correlated with liver histology measurements. In all patients, when controlling for sex and age we found that BMI, WC, and BIA were equal at predicting the presence of NASH (P = 0.0571). Conclusion: All three methods, BIA, BMI, and WC, were comparable in assessing the risk for NASH. For practical purpose in clinical settings, using BMI is acceptable. (c) 2021 Elsevier Inc. All rights reserved.

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