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Bioimpedance analysis predicts the etiology of cirrhosis in a prospective cohort study
BACKGROUND: Obesity is associated with an increased risk of developing cirrhosis. However, body mass index (BMI) and waist-to-hip ratio (WHR) may not be indicative of body composition parameters that predispose to cirrhosis. Bioimpedance analysis (BIA) is a noninvasive cost-efficient method for more...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497244/ https://www.ncbi.nlm.nih.gov/pubmed/37695087 http://dx.doi.org/10.1097/HC9.0000000000000253 |
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author | El-Serag, Hashem B. Akhdar, Ghida Thrift, Aaron P. Luster, Michelle Khaderi, Saira Alsarraj, Abeer Duong, Hao Kanwal, Fasiha |
author_facet | El-Serag, Hashem B. Akhdar, Ghida Thrift, Aaron P. Luster, Michelle Khaderi, Saira Alsarraj, Abeer Duong, Hao Kanwal, Fasiha |
author_sort | El-Serag, Hashem B. |
collection | PubMed |
description | BACKGROUND: Obesity is associated with an increased risk of developing cirrhosis. However, body mass index (BMI) and waist-to-hip ratio (WHR) may not be indicative of body composition parameters that predispose to cirrhosis. Bioimpedance analysis (BIA) is a noninvasive cost-efficient method for more detailed estimation of body composition. METHODS: We examined patients with cirrhosis who underwent BIA as part of enrollment into a prospective cohort study. We examined the correlation between BIA variables, BMI, and WHR. We performed sex-adjusted and race-adjusted and race-specific multivariable logistic regression analyses to examine the association between anthropometric variables and risk factors [NAFLD, alcohol-associated liver disease (ALD), and HCV]. RESULTS: We analyzed data from 348 cirrhosis patients; 23.3% were women; 48.3% were non-Hispanic White; 19.3% were Hispanic; and 30.7% were African American. The cirrhosis etiology was 21.8% NAFLD, 56.9% HCV mostly cured, and 11.5% ALD. Several BIA variables correlated well with BMI, and others showed modest correlations, but none correlated well with WHR. Higher body fat mass and basal metabolic rate were positively associated, while higher lean body mass, dry lean mass, total body water, or skeletal muscle mass were negatively associated with NAFLD. Associations between these BIA parameters and ALD-related cirrhosis were in the opposite direction. These associations of BIA variables were seen only in Hispanic and non-Hispanic White patients but not non-Hispanic Blacks. BIA variables were more predictive of cirrhosis etiology than BMI or WHR. CONCLUSIONS: Among patients with cirrhosis, several BIA-derived measurements indicative of body fat and muscle are associated with NAFLD and ALD etiology. BIA variables show stronger associations, as well as race/ethnicity-specific associations, with cirrhosis etiology than those of BMI or WHR. |
format | Online Article Text |
id | pubmed-10497244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-104972442023-09-13 Bioimpedance analysis predicts the etiology of cirrhosis in a prospective cohort study El-Serag, Hashem B. Akhdar, Ghida Thrift, Aaron P. Luster, Michelle Khaderi, Saira Alsarraj, Abeer Duong, Hao Kanwal, Fasiha Hepatol Commun Original Article BACKGROUND: Obesity is associated with an increased risk of developing cirrhosis. However, body mass index (BMI) and waist-to-hip ratio (WHR) may not be indicative of body composition parameters that predispose to cirrhosis. Bioimpedance analysis (BIA) is a noninvasive cost-efficient method for more detailed estimation of body composition. METHODS: We examined patients with cirrhosis who underwent BIA as part of enrollment into a prospective cohort study. We examined the correlation between BIA variables, BMI, and WHR. We performed sex-adjusted and race-adjusted and race-specific multivariable logistic regression analyses to examine the association between anthropometric variables and risk factors [NAFLD, alcohol-associated liver disease (ALD), and HCV]. RESULTS: We analyzed data from 348 cirrhosis patients; 23.3% were women; 48.3% were non-Hispanic White; 19.3% were Hispanic; and 30.7% were African American. The cirrhosis etiology was 21.8% NAFLD, 56.9% HCV mostly cured, and 11.5% ALD. Several BIA variables correlated well with BMI, and others showed modest correlations, but none correlated well with WHR. Higher body fat mass and basal metabolic rate were positively associated, while higher lean body mass, dry lean mass, total body water, or skeletal muscle mass were negatively associated with NAFLD. Associations between these BIA parameters and ALD-related cirrhosis were in the opposite direction. These associations of BIA variables were seen only in Hispanic and non-Hispanic White patients but not non-Hispanic Blacks. BIA variables were more predictive of cirrhosis etiology than BMI or WHR. CONCLUSIONS: Among patients with cirrhosis, several BIA-derived measurements indicative of body fat and muscle are associated with NAFLD and ALD etiology. BIA variables show stronger associations, as well as race/ethnicity-specific associations, with cirrhosis etiology than those of BMI or WHR. Lippincott Williams & Wilkins 2023-09-11 /pmc/articles/PMC10497244/ /pubmed/37695087 http://dx.doi.org/10.1097/HC9.0000000000000253 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Association for the Study of Liver Diseases. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Article El-Serag, Hashem B. Akhdar, Ghida Thrift, Aaron P. Luster, Michelle Khaderi, Saira Alsarraj, Abeer Duong, Hao Kanwal, Fasiha Bioimpedance analysis predicts the etiology of cirrhosis in a prospective cohort study |
title | Bioimpedance analysis predicts the etiology of cirrhosis in a prospective cohort study |
title_full | Bioimpedance analysis predicts the etiology of cirrhosis in a prospective cohort study |
title_fullStr | Bioimpedance analysis predicts the etiology of cirrhosis in a prospective cohort study |
title_full_unstemmed | Bioimpedance analysis predicts the etiology of cirrhosis in a prospective cohort study |
title_short | Bioimpedance analysis predicts the etiology of cirrhosis in a prospective cohort study |
title_sort | bioimpedance analysis predicts the etiology of cirrhosis in a prospective cohort study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497244/ https://www.ncbi.nlm.nih.gov/pubmed/37695087 http://dx.doi.org/10.1097/HC9.0000000000000253 |
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