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Sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease

BACKGROUND: Non-diabetic overweight/obese metabolic dysfunction-associated fatty liver disease (MAFLD) represents the largest subgroup with heterogeneous liver fibrosis risk. Metabolic dysfunction promotes liver fibrosis. Here, we investigated whether incorporating additional metabolic risk factors...

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Autores principales: Lee, Chi-Ho, Lui, David Tak-Wai, Li, Raymond Hang-Wun, Yuen, Michele Mae-Ann, Fong, Carol Ho-Yi, Leung, Ambrose Pak-Wah, Chu, Justin Chiu-Man, Mak, Loey Lung-Yi, Lam, Tai-Hing, Woo, Jean, Woo, Yu-Cho, Xu, Aimin, Tse, Hung-Fat, Tan, Kathryn Choon-Beng, Cheung, Bernard Man-Yung, Yuen, Man-Fung, Lam, Karen Siu-Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853017/
https://www.ncbi.nlm.nih.gov/pubmed/36686469
http://dx.doi.org/10.3389/fendo.2022.1056562
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author Lee, Chi-Ho
Lui, David Tak-Wai
Li, Raymond Hang-Wun
Yuen, Michele Mae-Ann
Fong, Carol Ho-Yi
Leung, Ambrose Pak-Wah
Chu, Justin Chiu-Man
Mak, Loey Lung-Yi
Lam, Tai-Hing
Woo, Jean
Woo, Yu-Cho
Xu, Aimin
Tse, Hung-Fat
Tan, Kathryn Choon-Beng
Cheung, Bernard Man-Yung
Yuen, Man-Fung
Lam, Karen Siu-Ling
author_facet Lee, Chi-Ho
Lui, David Tak-Wai
Li, Raymond Hang-Wun
Yuen, Michele Mae-Ann
Fong, Carol Ho-Yi
Leung, Ambrose Pak-Wah
Chu, Justin Chiu-Man
Mak, Loey Lung-Yi
Lam, Tai-Hing
Woo, Jean
Woo, Yu-Cho
Xu, Aimin
Tse, Hung-Fat
Tan, Kathryn Choon-Beng
Cheung, Bernard Man-Yung
Yuen, Man-Fung
Lam, Karen Siu-Ling
author_sort Lee, Chi-Ho
collection PubMed
description BACKGROUND: Non-diabetic overweight/obese metabolic dysfunction-associated fatty liver disease (MAFLD) represents the largest subgroup with heterogeneous liver fibrosis risk. Metabolic dysfunction promotes liver fibrosis. Here, we investigated whether incorporating additional metabolic risk factors into clinical evaluation improved liver fibrosis risk stratification among individuals with non-diabetic overweight/obese MAFLD. MATERIALS AND METHODS: Comprehensive metabolic evaluation including 75-gram oral glucose tolerance test was performed in over 1000 participants from the New Hong Kong Cardiovascular Risk Factor Prevalence Study (HK-NCRISPS), a contemporary population-based study of HK Chinese. Hepatic steatosis and fibrosis were evaluated based on controlled attenuation parameter and liver stiffness (LS) measured using vibration-controlled transient elastography, respectively. Clinically significant liver fibrosis was defined as LS ≥8.0 kPa. Our findings were validated in an independent pooled cohort comprising individuals with obesity and/or polycystic ovarian syndrome. RESULTS: Of the 1020 recruited community-dwelling individuals, 312 (30.6%) had non-diabetic overweight/obese MAFLD. Among them, 6.4% had LS ≥8.0 kPa. In multivariable stepwise logistic regression analysis, abnormal serum aspartate aminotransferase (AST) (OR 7.95, p<0.001) and homeostasis model assessment of insulin resistance (HOMA-IR) ≥2.5 (OR 5.01, p=0.008) were independently associated with LS ≥8.0 kPa, in a model also consisting of other metabolic risk factors including central adiposity, hypertension, dyslipidaemia and prediabetes. A sequential screening algorithm using abnormal AST, followed by elevated HOMA-IR, was developed to identify individuals with LS ≥8.0 kPa, and externally validated with satisfactory sensitivity (>80%) and negative predictive value (>90%). CONCLUSION: A sequential algorithm incorporating AST and HOMA-IR levels improves fibrosis risk stratification among non-diabetic overweight/obese MAFLD individuals.
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spelling pubmed-98530172023-01-21 Sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease Lee, Chi-Ho Lui, David Tak-Wai Li, Raymond Hang-Wun Yuen, Michele Mae-Ann Fong, Carol Ho-Yi Leung, Ambrose Pak-Wah Chu, Justin Chiu-Man Mak, Loey Lung-Yi Lam, Tai-Hing Woo, Jean Woo, Yu-Cho Xu, Aimin Tse, Hung-Fat Tan, Kathryn Choon-Beng Cheung, Bernard Man-Yung Yuen, Man-Fung Lam, Karen Siu-Ling Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Non-diabetic overweight/obese metabolic dysfunction-associated fatty liver disease (MAFLD) represents the largest subgroup with heterogeneous liver fibrosis risk. Metabolic dysfunction promotes liver fibrosis. Here, we investigated whether incorporating additional metabolic risk factors into clinical evaluation improved liver fibrosis risk stratification among individuals with non-diabetic overweight/obese MAFLD. MATERIALS AND METHODS: Comprehensive metabolic evaluation including 75-gram oral glucose tolerance test was performed in over 1000 participants from the New Hong Kong Cardiovascular Risk Factor Prevalence Study (HK-NCRISPS), a contemporary population-based study of HK Chinese. Hepatic steatosis and fibrosis were evaluated based on controlled attenuation parameter and liver stiffness (LS) measured using vibration-controlled transient elastography, respectively. Clinically significant liver fibrosis was defined as LS ≥8.0 kPa. Our findings were validated in an independent pooled cohort comprising individuals with obesity and/or polycystic ovarian syndrome. RESULTS: Of the 1020 recruited community-dwelling individuals, 312 (30.6%) had non-diabetic overweight/obese MAFLD. Among them, 6.4% had LS ≥8.0 kPa. In multivariable stepwise logistic regression analysis, abnormal serum aspartate aminotransferase (AST) (OR 7.95, p<0.001) and homeostasis model assessment of insulin resistance (HOMA-IR) ≥2.5 (OR 5.01, p=0.008) were independently associated with LS ≥8.0 kPa, in a model also consisting of other metabolic risk factors including central adiposity, hypertension, dyslipidaemia and prediabetes. A sequential screening algorithm using abnormal AST, followed by elevated HOMA-IR, was developed to identify individuals with LS ≥8.0 kPa, and externally validated with satisfactory sensitivity (>80%) and negative predictive value (>90%). CONCLUSION: A sequential algorithm incorporating AST and HOMA-IR levels improves fibrosis risk stratification among non-diabetic overweight/obese MAFLD individuals. Frontiers Media S.A. 2023-01-06 /pmc/articles/PMC9853017/ /pubmed/36686469 http://dx.doi.org/10.3389/fendo.2022.1056562 Text en Copyright © 2023 Lee, Lui, Li, Yuen, Fong, Leung, Chu, Mak, Lam, Woo, Woo, Xu, Tse, Tan, Cheung, Yuen and Lam 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
Lee, Chi-Ho
Lui, David Tak-Wai
Li, Raymond Hang-Wun
Yuen, Michele Mae-Ann
Fong, Carol Ho-Yi
Leung, Ambrose Pak-Wah
Chu, Justin Chiu-Man
Mak, Loey Lung-Yi
Lam, Tai-Hing
Woo, Jean
Woo, Yu-Cho
Xu, Aimin
Tse, Hung-Fat
Tan, Kathryn Choon-Beng
Cheung, Bernard Man-Yung
Yuen, Man-Fung
Lam, Karen Siu-Ling
Sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease
title Sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease
title_full Sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease
title_fullStr Sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease
title_full_unstemmed Sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease
title_short Sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease
title_sort sequential algorithm to stratify liver fibrosis risk in overweight/obese metabolic dysfunction-associated fatty liver disease
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9853017/
https://www.ncbi.nlm.nih.gov/pubmed/36686469
http://dx.doi.org/10.3389/fendo.2022.1056562
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