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Comparative analysis of the relationship between four hepatic steatosis indices and muscle mass
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 develop...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886852/ https://www.ncbi.nlm.nih.gov/pubmed/36717652 http://dx.doi.org/10.1038/s41598-023-28751-5 |
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author | Lee, Taesic Chung, Tae-Ha |
author_facet | Lee, Taesic Chung, Tae-Ha |
author_sort | Lee, Taesic |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9886852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98868522023-02-01 Comparative analysis of the relationship between four hepatic steatosis indices and muscle mass Lee, Taesic Chung, Tae-Ha Sci Rep Article 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. Nature Publishing Group UK 2023-01-30 /pmc/articles/PMC9886852/ /pubmed/36717652 http://dx.doi.org/10.1038/s41598-023-28751-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lee, Taesic Chung, Tae-Ha Comparative analysis of the relationship between four hepatic steatosis indices and muscle mass |
title | Comparative analysis of the relationship between four hepatic steatosis indices and muscle mass |
title_full | Comparative analysis of the relationship between four hepatic steatosis indices and muscle mass |
title_fullStr | Comparative analysis of the relationship between four hepatic steatosis indices and muscle mass |
title_full_unstemmed | Comparative analysis of the relationship between four hepatic steatosis indices and muscle mass |
title_short | Comparative analysis of the relationship between four hepatic steatosis indices and muscle mass |
title_sort | comparative analysis of the relationship between four hepatic steatosis indices and muscle mass |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886852/ https://www.ncbi.nlm.nih.gov/pubmed/36717652 http://dx.doi.org/10.1038/s41598-023-28751-5 |
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