Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults

Hongye Peng; Liang Pan; Simiao Ran; Miyuan Wang; Shuxia Huang; Mo Zhao; Zhengmin Cao; Ziang Yao; Lei Xu; Qing Yang; Wenliang Lv

doi:10.3389/fendo.2023.1083032

Prediction of MAFLD and NAFLD using different screening indexes: A cross-sectional study in U.S. adults

Front Endocrinol (Lausanne). 2023 Jan 19:14:1083032. doi: 10.3389/fendo.2023.1083032. eCollection 2023.

Authors

Hongye Peng¹, Liang Pan², Simiao Ran³, Miyuan Wang⁴, Shuxia Huang¹, Mo Zhao¹, Zhengmin Cao¹, Ziang Yao¹, Lei Xu¹, Qing Yang⁵, Wenliang Lv¹

Affiliations

¹ Department of Infection, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
² Phase 1 Clinical Trial Center, Deyang People's Hospital, Sichuan, China.
³ Department of Gastroenterology, HuangGang Hospital of Traditional Chinese Medicine (TCM) Affiliated to Hubei University of Chinese Medicine, Huanggang, Hubei, China.
⁴ School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
⁵ School of Foreign Languages and Culture, Nanchang University, Nanchang, Jiangxi, China.

Abstract

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.

Keywords: BMI; TyG-WC; TyG-WHtR; WHtR; lipid accumulation product; metabolic dysfunction-associated fatty liver disease; triglycerideglucose index; waist circumference.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adult
Body Mass Index
Cross-Sectional Studies
Female
Humans
Male
Non-alcoholic Fatty Liver Disease* / diagnosis
Non-alcoholic Fatty Liver Disease* / epidemiology
Nutrition Surveys

Grants and funding

This work was funded by the Scientific and Technological Innovation Project of China, Academy of Chinese Medical Sciences (CI2021A00801 and CI2021A00802), and Beijing Municipal Natural Science Foundation (7222295).