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Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults

INTRODUCTION: Metabolic dysfunction-associated fatty liver disease (MAFLD), formerly known as non-alcoholic fatty liver disease (NAFLD), has become the most common chronic liver disease worldwide. We aimed to explore the gender-related association between nine indexes (BMI/WC/VAI/LAP/WHtR/TyG/TyG-BM...

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Autores principales: Peng, Hongye, Pan, Liang, Ran, Simiao, Wang, Miyuan, Huang, Shuxia, Zhao, Mo, Cao, Zhengmin, Yao, Ziang, Xu, Lei, Yang, Qing, Lv, Wenliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892768/
https://www.ncbi.nlm.nih.gov/pubmed/36742412
http://dx.doi.org/10.3389/fendo.2023.1083032
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author Peng, Hongye
Pan, Liang
Ran, Simiao
Wang, Miyuan
Huang, Shuxia
Zhao, Mo
Cao, Zhengmin
Yao, Ziang
Xu, Lei
Yang, Qing
Lv, Wenliang
author_facet Peng, Hongye
Pan, Liang
Ran, Simiao
Wang, Miyuan
Huang, Shuxia
Zhao, Mo
Cao, Zhengmin
Yao, Ziang
Xu, Lei
Yang, Qing
Lv, Wenliang
author_sort Peng, Hongye
collection PubMed
description INTRODUCTION: Metabolic dysfunction-associated fatty liver disease (MAFLD), formerly known as non-alcoholic fatty liver disease (NAFLD), has become the most common chronic liver disease worldwide. We aimed to explore the gender-related association between nine indexes (BMI/WC/VAI/LAP/WHtR/TyG/TyG-BMI/TyG-WC/TyG-WHtR) and MAFLD/NAFLD and examine their diagnostic utility for these conditions. METHODS: Eligible participants were screened from the 2017-2018 cycle data of National Health and Nutrition Examination Survey (NHANES). Logistic regression and receiver operating characteristic (ROC) curve were used to assess the predictive performance of 9 indexes for MAFLD/NAFLD. RESULTS: Among the 809 eligible individuals, 478 had MAFLD and 499 had NAFLD. After adjusting for gender, age, ethnicity, FIPR and education level, positive associations with the risk of MAFLD/NAFLD were found for all the nine indexes. For female, TyG-WHtR presented the best performance in identifying MAFLD/NAFLD, with AUC of 0.845 (95% CI = 0.806-0.879) and 0.831 (95% CI = 0.791-0.867) respectively. For male, TyG-WC presented the best performance in identifying MAFLD/NAFLD, with AUC of 0.900 (95% CI = 0.867-0.927) and 0.855 (95% CI = 0.817-0.888) respectively. CONCLUSION: BMI/WC/VAI/LAP/WHtR/TyG/TyG-BMI/TyG-WC/TyG-WHtR are important indexes to identify the risk of MAFLD and NAFLD.
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spelling pubmed-98927682023-02-03 Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults Peng, Hongye Pan, Liang Ran, Simiao Wang, Miyuan Huang, Shuxia Zhao, Mo Cao, Zhengmin Yao, Ziang Xu, Lei Yang, Qing Lv, Wenliang Front Endocrinol (Lausanne) Endocrinology INTRODUCTION: Metabolic dysfunction-associated fatty liver disease (MAFLD), formerly known as non-alcoholic fatty liver disease (NAFLD), has become the most common chronic liver disease worldwide. We aimed to explore the gender-related association between nine indexes (BMI/WC/VAI/LAP/WHtR/TyG/TyG-BMI/TyG-WC/TyG-WHtR) and MAFLD/NAFLD and examine their diagnostic utility for these conditions. METHODS: Eligible participants were screened from the 2017-2018 cycle data of National Health and Nutrition Examination Survey (NHANES). Logistic regression and receiver operating characteristic (ROC) curve were used to assess the predictive performance of 9 indexes for MAFLD/NAFLD. RESULTS: Among the 809 eligible individuals, 478 had MAFLD and 499 had NAFLD. After adjusting for gender, age, ethnicity, FIPR and education level, positive associations with the risk of MAFLD/NAFLD were found for all the nine indexes. For female, TyG-WHtR presented the best performance in identifying MAFLD/NAFLD, with AUC of 0.845 (95% CI = 0.806-0.879) and 0.831 (95% CI = 0.791-0.867) respectively. For male, TyG-WC presented the best performance in identifying MAFLD/NAFLD, with AUC of 0.900 (95% CI = 0.867-0.927) and 0.855 (95% CI = 0.817-0.888) respectively. CONCLUSION: BMI/WC/VAI/LAP/WHtR/TyG/TyG-BMI/TyG-WC/TyG-WHtR are important indexes to identify the risk of MAFLD and NAFLD. Frontiers Media S.A. 2023-01-19 /pmc/articles/PMC9892768/ /pubmed/36742412 http://dx.doi.org/10.3389/fendo.2023.1083032 Text en Copyright © 2023 Peng, Pan, Ran, Wang, Huang, Zhao, Cao, Yao, Xu, Yang and Lv https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Peng, Hongye
Pan, Liang
Ran, Simiao
Wang, Miyuan
Huang, Shuxia
Zhao, Mo
Cao, Zhengmin
Yao, Ziang
Xu, Lei
Yang, Qing
Lv, Wenliang
Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults
title Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults
title_full Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults
title_fullStr Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults
title_full_unstemmed Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults
title_short Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults
title_sort prediction of mafld and nafld using different screening indexes: a cross-sectional study in u.s. adults
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892768/
https://www.ncbi.nlm.nih.gov/pubmed/36742412
http://dx.doi.org/10.3389/fendo.2023.1083032
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