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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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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. |
format | Online Article Text |
id | pubmed-9892768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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