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The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease

BACKGROUND: Conicity index, body-shape index, lipid accumulation product (LAP), waist circumference (WC), triglyceride, triglyceride-glucose (TyG) index, hepatic steatosis index (HSI), waist-to-height ratio (WHtR), TyG index-related parameters (TyG-WHtR, TyG-BMI, TyG-WC), body mass index (BMI), visc...

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Autores principales: Sheng, Guotai, Lu, Song, Xie, Qiyang, Peng, Nan, Kuang, Maobin, Zou, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502416/
https://www.ncbi.nlm.nih.gov/pubmed/34629059
http://dx.doi.org/10.1186/s12944-021-01561-2
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author Sheng, Guotai
Lu, Song
Xie, Qiyang
Peng, Nan
Kuang, Maobin
Zou, Yang
author_facet Sheng, Guotai
Lu, Song
Xie, Qiyang
Peng, Nan
Kuang, Maobin
Zou, Yang
author_sort Sheng, Guotai
collection PubMed
description BACKGROUND: Conicity index, body-shape index, lipid accumulation product (LAP), waist circumference (WC), triglyceride, triglyceride-glucose (TyG) index, hepatic steatosis index (HSI), waist-to-height ratio (WHtR), TyG index-related parameters (TyG-WHtR, TyG-BMI, TyG-WC), body mass index (BMI), visceral adiposity index, triglyceride to high-density lipoprotein cholesterol ratio and body roundness index have been reported as reliable markers of non-alcoholic fatty liver disease (NAFLD). However, there is debate about which of the above obesity and lipid-related indices has the best predictive performance for NAFLD risk. METHODS: This study included 6870 female and 7411 male subjects, and 15 obesity and lipid-related indices were measured and calculated. NAFLD was diagnosed by abdominal ultrasound. The area under the curve (AUC) of 15 obesity and lipid-related indices were calculated by receiver operating characteristic (ROC) analysis. RESULTS: Among the 15 obesity and lipid-related indices, the TyG index-related parameters had the strongest association with NAFLD. ROC analysis showed that except for ABSI, the other 14 parameters had high predictive value in identifying NAFLD, especially in female and young subjects. Most notably, TyG index-related parameters performed better than other parameters in predicting NAFLD in most populations. In the female population, the AUC of TyG-WC for predicting NAFLD was 0.9045, TyG-BMI was 0.9084, and TyG-WHtR was 0.9071. In the male population, the AUC of TyG-WC was 0.8356, TyG-BMI was 0.8428, and TyG-WHtR was 0.8372. In addition, BMI showed good NAFLD prediction performance in most subgroups (AUC>0.8). CONCLUSIONS: Our data suggest that TyG index-related parameters, LAP, HSI, BMI, and WC appear to be good predictors of NAFLD. Of these parameters, TyG index-related parameters showed the best predictive potential. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-021-01561-2.
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spelling pubmed-85024162021-10-20 The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease Sheng, Guotai Lu, Song Xie, Qiyang Peng, Nan Kuang, Maobin Zou, Yang Lipids Health Dis Research BACKGROUND: Conicity index, body-shape index, lipid accumulation product (LAP), waist circumference (WC), triglyceride, triglyceride-glucose (TyG) index, hepatic steatosis index (HSI), waist-to-height ratio (WHtR), TyG index-related parameters (TyG-WHtR, TyG-BMI, TyG-WC), body mass index (BMI), visceral adiposity index, triglyceride to high-density lipoprotein cholesterol ratio and body roundness index have been reported as reliable markers of non-alcoholic fatty liver disease (NAFLD). However, there is debate about which of the above obesity and lipid-related indices has the best predictive performance for NAFLD risk. METHODS: This study included 6870 female and 7411 male subjects, and 15 obesity and lipid-related indices were measured and calculated. NAFLD was diagnosed by abdominal ultrasound. The area under the curve (AUC) of 15 obesity and lipid-related indices were calculated by receiver operating characteristic (ROC) analysis. RESULTS: Among the 15 obesity and lipid-related indices, the TyG index-related parameters had the strongest association with NAFLD. ROC analysis showed that except for ABSI, the other 14 parameters had high predictive value in identifying NAFLD, especially in female and young subjects. Most notably, TyG index-related parameters performed better than other parameters in predicting NAFLD in most populations. In the female population, the AUC of TyG-WC for predicting NAFLD was 0.9045, TyG-BMI was 0.9084, and TyG-WHtR was 0.9071. In the male population, the AUC of TyG-WC was 0.8356, TyG-BMI was 0.8428, and TyG-WHtR was 0.8372. In addition, BMI showed good NAFLD prediction performance in most subgroups (AUC>0.8). CONCLUSIONS: Our data suggest that TyG index-related parameters, LAP, HSI, BMI, and WC appear to be good predictors of NAFLD. Of these parameters, TyG index-related parameters showed the best predictive potential. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-021-01561-2. BioMed Central 2021-10-10 /pmc/articles/PMC8502416/ /pubmed/34629059 http://dx.doi.org/10.1186/s12944-021-01561-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sheng, Guotai
Lu, Song
Xie, Qiyang
Peng, Nan
Kuang, Maobin
Zou, Yang
The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease
title The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease
title_full The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease
title_fullStr The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease
title_full_unstemmed The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease
title_short The usefulness of obesity and lipid-related indices to predict the presence of Non-alcoholic fatty liver disease
title_sort usefulness of obesity and lipid-related indices to predict the presence of non-alcoholic fatty liver disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8502416/
https://www.ncbi.nlm.nih.gov/pubmed/34629059
http://dx.doi.org/10.1186/s12944-021-01561-2
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