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Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease

We sought to examine body composition using bioimpedance analysis in patients with metabolic dysfunction-associated fatty liver disease (MAFLD, 2014 males and 949 females). Factors linked to the fat-free mass index (FF index) were examined using univariate and multivariate analysis. An FF index <...

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Autores principales: Onishi, Saori, Fukuda, Akira, Matsui, Masahiro, Ushiro, Kosuke, Nishikawa, Tomohiro, Asai, Akira, Kim, Soo Ki, Nishikawa, Hiroki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534718/
https://www.ncbi.nlm.nih.gov/pubmed/37764663
http://dx.doi.org/10.3390/nu15183878
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author Onishi, Saori
Fukuda, Akira
Matsui, Masahiro
Ushiro, Kosuke
Nishikawa, Tomohiro
Asai, Akira
Kim, Soo Ki
Nishikawa, Hiroki
author_facet Onishi, Saori
Fukuda, Akira
Matsui, Masahiro
Ushiro, Kosuke
Nishikawa, Tomohiro
Asai, Akira
Kim, Soo Ki
Nishikawa, Hiroki
author_sort Onishi, Saori
collection PubMed
description We sought to examine body composition using bioimpedance analysis in patients with metabolic dysfunction-associated fatty liver disease (MAFLD, 2014 males and 949 females). Factors linked to the fat-free mass index (FF index) were examined using univariate and multivariate analysis. An FF index < 18 kg/m(2) in males and an FF index < 15 kg/m(2) in females were defined as having decreased skeletal muscle mass. The median age and body mass index (BMI) were 55 years and 25.4 kg/m(2) in males, and 57 years and 25.4 kg/m(2) in females, respectively. The FF index strongly correlated with muscle mass index both in males (r = 0.999) and females (r = 0.999). The prevalence of patients with an FF index < 18 kg/m(2) in males and an FF index < 15 kg/m(2) in females was well stratified according to age, BMI, severity of FL, and FIB4 index. In the males, in the multivariate analysis, BMI (p < 0.0001), fat mass index (p < 0.0001), and waist circumference (p = 0.0050) were found to be significant factors linked to FF index. In the females, in the multivariate analysis, BMI (p < 0.0001) and fat mass index (p < 0.0001) were found to be significant. In conclusion, fat accumulation as reflected by BMI, which is an easily available marker, could be a useful indicator for the skeletal muscle mass in MAFLD.
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spelling pubmed-105347182023-09-29 Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease Onishi, Saori Fukuda, Akira Matsui, Masahiro Ushiro, Kosuke Nishikawa, Tomohiro Asai, Akira Kim, Soo Ki Nishikawa, Hiroki Nutrients Article We sought to examine body composition using bioimpedance analysis in patients with metabolic dysfunction-associated fatty liver disease (MAFLD, 2014 males and 949 females). Factors linked to the fat-free mass index (FF index) were examined using univariate and multivariate analysis. An FF index < 18 kg/m(2) in males and an FF index < 15 kg/m(2) in females were defined as having decreased skeletal muscle mass. The median age and body mass index (BMI) were 55 years and 25.4 kg/m(2) in males, and 57 years and 25.4 kg/m(2) in females, respectively. The FF index strongly correlated with muscle mass index both in males (r = 0.999) and females (r = 0.999). The prevalence of patients with an FF index < 18 kg/m(2) in males and an FF index < 15 kg/m(2) in females was well stratified according to age, BMI, severity of FL, and FIB4 index. In the males, in the multivariate analysis, BMI (p < 0.0001), fat mass index (p < 0.0001), and waist circumference (p = 0.0050) were found to be significant factors linked to FF index. In the females, in the multivariate analysis, BMI (p < 0.0001) and fat mass index (p < 0.0001) were found to be significant. In conclusion, fat accumulation as reflected by BMI, which is an easily available marker, could be a useful indicator for the skeletal muscle mass in MAFLD. MDPI 2023-09-06 /pmc/articles/PMC10534718/ /pubmed/37764663 http://dx.doi.org/10.3390/nu15183878 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Onishi, Saori
Fukuda, Akira
Matsui, Masahiro
Ushiro, Kosuke
Nishikawa, Tomohiro
Asai, Akira
Kim, Soo Ki
Nishikawa, Hiroki
Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease
title Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease
title_full Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease
title_fullStr Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease
title_full_unstemmed Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease
title_short Body Composition Analysis in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease
title_sort body composition analysis in patients with metabolic dysfunction-associated fatty liver disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534718/
https://www.ncbi.nlm.nih.gov/pubmed/37764663
http://dx.doi.org/10.3390/nu15183878
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