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Fatty Liver Index and Lipid Accumulation Product Can Predict Metabolic Syndrome in Subjects without Fatty Liver Disease
Background. Fatty liver index (FLI) and lipid accumulation product (LAP) are indexes originally designed to assess the risk of fatty liver and cardiovascular disease, respectively. Both indexes have been proven to be reliable markers of subsequent metabolic syndrome; however, their ability to predic...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282434/ https://www.ncbi.nlm.nih.gov/pubmed/28194177 http://dx.doi.org/10.1155/2017/9279836 |
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author | Cheng, Yuan-Lung Wang, Yuan-Jen Lan, Keng-Hsin Huo, Teh-Ia Huang, Yi-Hsiang Su, Chien-Wei Hsieh, Wei-Yao Hou, Ming-Chih Lin, Han-Chieh Lee, Fa-Yauh Wu, Jaw-Ching Lee, Shou-Dong |
author_facet | Cheng, Yuan-Lung Wang, Yuan-Jen Lan, Keng-Hsin Huo, Teh-Ia Huang, Yi-Hsiang Su, Chien-Wei Hsieh, Wei-Yao Hou, Ming-Chih Lin, Han-Chieh Lee, Fa-Yauh Wu, Jaw-Ching Lee, Shou-Dong |
author_sort | Cheng, Yuan-Lung |
collection | PubMed |
description | Background. Fatty liver index (FLI) and lipid accumulation product (LAP) are indexes originally designed to assess the risk of fatty liver and cardiovascular disease, respectively. Both indexes have been proven to be reliable markers of subsequent metabolic syndrome; however, their ability to predict metabolic syndrome in subjects without fatty liver disease has not been clarified. Methods. We enrolled consecutive subjects who received health check-up services at Taipei Veterans General Hospital from 2002 to 2009. Fatty liver disease was diagnosed by abdominal ultrasonography. The ability of the FLI and LAP to predict metabolic syndrome was assessed by analyzing the area under the receiver operating characteristic (AUROC) curve. Results. Male sex was strongly associated with metabolic syndrome, and the LAP and FLI were better than other variables to predict metabolic syndrome among the 29,797 subjects. Both indexes were also better than other variables to detect metabolic syndrome in subjects without fatty liver disease (AUROC: 0.871 and 0.879, resp.), and the predictive power was greater among women. Conclusion. Metabolic syndrome increases the cardiovascular disease risk. The FLI and LAP could be used to recognize the syndrome in both subjects with and without fatty liver disease who require lifestyle modifications and counseling. |
format | Online Article Text |
id | pubmed-5282434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-52824342017-02-13 Fatty Liver Index and Lipid Accumulation Product Can Predict Metabolic Syndrome in Subjects without Fatty Liver Disease Cheng, Yuan-Lung Wang, Yuan-Jen Lan, Keng-Hsin Huo, Teh-Ia Huang, Yi-Hsiang Su, Chien-Wei Hsieh, Wei-Yao Hou, Ming-Chih Lin, Han-Chieh Lee, Fa-Yauh Wu, Jaw-Ching Lee, Shou-Dong Gastroenterol Res Pract Research Article Background. Fatty liver index (FLI) and lipid accumulation product (LAP) are indexes originally designed to assess the risk of fatty liver and cardiovascular disease, respectively. Both indexes have been proven to be reliable markers of subsequent metabolic syndrome; however, their ability to predict metabolic syndrome in subjects without fatty liver disease has not been clarified. Methods. We enrolled consecutive subjects who received health check-up services at Taipei Veterans General Hospital from 2002 to 2009. Fatty liver disease was diagnosed by abdominal ultrasonography. The ability of the FLI and LAP to predict metabolic syndrome was assessed by analyzing the area under the receiver operating characteristic (AUROC) curve. Results. Male sex was strongly associated with metabolic syndrome, and the LAP and FLI were better than other variables to predict metabolic syndrome among the 29,797 subjects. Both indexes were also better than other variables to detect metabolic syndrome in subjects without fatty liver disease (AUROC: 0.871 and 0.879, resp.), and the predictive power was greater among women. Conclusion. Metabolic syndrome increases the cardiovascular disease risk. The FLI and LAP could be used to recognize the syndrome in both subjects with and without fatty liver disease who require lifestyle modifications and counseling. Hindawi Publishing Corporation 2017 2017-01-17 /pmc/articles/PMC5282434/ /pubmed/28194177 http://dx.doi.org/10.1155/2017/9279836 Text en Copyright © 2017 Yuan-Lung Cheng et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Cheng, Yuan-Lung Wang, Yuan-Jen Lan, Keng-Hsin Huo, Teh-Ia Huang, Yi-Hsiang Su, Chien-Wei Hsieh, Wei-Yao Hou, Ming-Chih Lin, Han-Chieh Lee, Fa-Yauh Wu, Jaw-Ching Lee, Shou-Dong Fatty Liver Index and Lipid Accumulation Product Can Predict Metabolic Syndrome in Subjects without Fatty Liver Disease |
title | Fatty Liver Index and Lipid Accumulation Product Can Predict Metabolic Syndrome in Subjects without Fatty Liver Disease |
title_full | Fatty Liver Index and Lipid Accumulation Product Can Predict Metabolic Syndrome in Subjects without Fatty Liver Disease |
title_fullStr | Fatty Liver Index and Lipid Accumulation Product Can Predict Metabolic Syndrome in Subjects without Fatty Liver Disease |
title_full_unstemmed | Fatty Liver Index and Lipid Accumulation Product Can Predict Metabolic Syndrome in Subjects without Fatty Liver Disease |
title_short | Fatty Liver Index and Lipid Accumulation Product Can Predict Metabolic Syndrome in Subjects without Fatty Liver Disease |
title_sort | fatty liver index and lipid accumulation product can predict metabolic syndrome in subjects without fatty liver disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282434/ https://www.ncbi.nlm.nih.gov/pubmed/28194177 http://dx.doi.org/10.1155/2017/9279836 |
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