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Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects
Nonalcoholic fatty liver disease (NAFLD) is an increasingly common condition that is highly correlated with obesity; however, it is not uncommon among nonobese individuals. Triglyceride (TG) and glucose index combined with body mass index (TyG-BMI) has been proposed as a favorable marker of insulin...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459725/ https://www.ncbi.nlm.nih.gov/pubmed/28562560 http://dx.doi.org/10.1097/MD.0000000000007041 |
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author | Zhang, Shujun Du, Tingting Li, Mengni Jia, Jing Lu, Huiming Lin, Xuan Yu, Xuefeng |
author_facet | Zhang, Shujun Du, Tingting Li, Mengni Jia, Jing Lu, Huiming Lin, Xuan Yu, Xuefeng |
author_sort | Zhang, Shujun |
collection | PubMed |
description | Nonalcoholic fatty liver disease (NAFLD) is an increasingly common condition that is highly correlated with obesity; however, it is not uncommon among nonobese individuals. Triglyceride (TG) and glucose index combined with body mass index (TyG-BMI) has been proposed as a favorable marker of insulin resistance. We sought to investigate the effectiveness of TyG-BMI in identifying NAFLD in nonobese subjects. We conducted a cross-sectional study in a nonobese (BMI <25.0 kg/m(2)) Chinese population (N = 6809) of adults who underwent health examinations, including abdominal ultrasonography. The prevalence of ultrasonography-detected NAFLD was 23.9% in nonobese subjects. After adjusting for potential confounders, every 1-standard deviation increase in TyG-BMI had an odds ratio (OR) of 3.4 [95% confidence interval (95% CI), 3.0–3.9] for NAFLD. Compared with the lowest quartile of TyG-BMI, multivariable-adjusted ORs were 2.4 (1.6–3.6), 6.4 (4.2–9.7), and 15.3 (9.8–23.9) for those in the second, third, and fourth quartile, respectively. According to the receiver operating characteristic curve analysis, TyG-BMI was effective in diagnosing patients with NAFLD with an area under the curve of 0.835 (95% CI, 0.824–0.845). In comparison, TyG-BMI was superior to its components, including TyG, BMI, TG, and fasting plasma glucose, for identifying nonobese subjects at risk for NAFLD. In this study, the prevalence of NAFLD was over one-fifth in the nonobese population. TyG-BMI was an effective marker to detect NAFLD in nonobese subjects. |
format | Online Article Text |
id | pubmed-5459725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-54597252017-06-12 Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects Zhang, Shujun Du, Tingting Li, Mengni Jia, Jing Lu, Huiming Lin, Xuan Yu, Xuefeng Medicine (Baltimore) 4500 Nonalcoholic fatty liver disease (NAFLD) is an increasingly common condition that is highly correlated with obesity; however, it is not uncommon among nonobese individuals. Triglyceride (TG) and glucose index combined with body mass index (TyG-BMI) has been proposed as a favorable marker of insulin resistance. We sought to investigate the effectiveness of TyG-BMI in identifying NAFLD in nonobese subjects. We conducted a cross-sectional study in a nonobese (BMI <25.0 kg/m(2)) Chinese population (N = 6809) of adults who underwent health examinations, including abdominal ultrasonography. The prevalence of ultrasonography-detected NAFLD was 23.9% in nonobese subjects. After adjusting for potential confounders, every 1-standard deviation increase in TyG-BMI had an odds ratio (OR) of 3.4 [95% confidence interval (95% CI), 3.0–3.9] for NAFLD. Compared with the lowest quartile of TyG-BMI, multivariable-adjusted ORs were 2.4 (1.6–3.6), 6.4 (4.2–9.7), and 15.3 (9.8–23.9) for those in the second, third, and fourth quartile, respectively. According to the receiver operating characteristic curve analysis, TyG-BMI was effective in diagnosing patients with NAFLD with an area under the curve of 0.835 (95% CI, 0.824–0.845). In comparison, TyG-BMI was superior to its components, including TyG, BMI, TG, and fasting plasma glucose, for identifying nonobese subjects at risk for NAFLD. In this study, the prevalence of NAFLD was over one-fifth in the nonobese population. TyG-BMI was an effective marker to detect NAFLD in nonobese subjects. Wolters Kluwer Health 2017-06-02 /pmc/articles/PMC5459725/ /pubmed/28562560 http://dx.doi.org/10.1097/MD.0000000000007041 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | 4500 Zhang, Shujun Du, Tingting Li, Mengni Jia, Jing Lu, Huiming Lin, Xuan Yu, Xuefeng Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects |
title | Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects |
title_full | Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects |
title_fullStr | Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects |
title_full_unstemmed | Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects |
title_short | Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects |
title_sort | triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects |
topic | 4500 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459725/ https://www.ncbi.nlm.nih.gov/pubmed/28562560 http://dx.doi.org/10.1097/MD.0000000000007041 |
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