Optimum non-invasive predictive indicators for metabolic dysfunction-associated fatty liver disease and its subgroups in the Chinese population: A retrospective case-control study
单位：[1]Graduate School, Peking Union Medical College, Beijing, China,[2]Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, China,[3]Graduate School, Beijing University of Chinese Medicine, Beijing, China,[4]School of Qi Huang, Beijing University of Chinese Medicine, Beijing, China,[5]Department of Infection, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
ObjectiveMetabolic dysfunction-associated fatty liver disease (MAFLD) affects 25% of the population without approved drug therapy. According to the latest consensus, MAFLD is divided into three subgroups based on different diagnostic modalities, including Obesity, Lean, and Type 2 diabetes mellitus (T2DM) MAFLD subgroups. This study aimed to find out the optimum non-invasive metabolism-related indicators to respectively predict MAFLD and its subgroups. Design1058 Chinese participants were enrolled in this study. Anthropometric measurements, laboratory data, and ultrasonography features were collected. 22 metabolism-related indexes were calculated, including fatty liver index (FLI), lipid accumulation product (LAP), waist circumference-triglyceride index (WTI), etc. Logistic regression analyzed the correlation between indexes and MAFLD. Receiver operating characteristics were conducted to compare predictive values among 22 indicators for screening the best indicators to predict MAFLD in different subgroups. ResultsFLI was the best predictor with the maximum odds ratio (OR) values of overall MAFLD (OR: 6.712, 95%CI: 4.766-9.452, area under the curve (AUC): 0.879, P < 0.05) and T2DM MAFLD subgroup (OR: 14.725, 95%CI: 3.712-58.420, AUC: 0.958, P < 0.05). LAP was the best predictor with the maximum OR value of Obesity MAFLD subgroup (OR: 2.689, 95%CI: 2.182-3.313, AUC: 0.796, P < 0.05). WTI was the best predictor with the maximum OR values of Lean MAFLD subgroup (OR: 3.512, 95%CI: 2.286-5.395, AUC: 0.920, P < 0.05). ConclusionThe best predictors of overall MAFLD, Obesity, Lean, and T2DM MAFLD subgroups were respectively FLI, LAP, WTI, and FLI.
基金：
Science and Technology Project Task Book of Beijing; [Z171100001717008]
第一作者单位：[1]Graduate School, Peking Union Medical College, Beijing, China,[2]Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, China,
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Liu Jing,Duan Shaojie,Wang Che,et al.Optimum non-invasive predictive indicators for metabolic dysfunction-associated fatty liver disease and its subgroups in the Chinese population: A retrospective case-control study[J].FRONTIERS IN ENDOCRINOLOGY.2022,13:doi:10.3389/fendo.2022.1035418.
APA：
Liu, Jing,Duan, Shaojie,Wang, Che,Wang, Yutong,Peng, Hongye...&Yao, Shukun.(2022).Optimum non-invasive predictive indicators for metabolic dysfunction-associated fatty liver disease and its subgroups in the Chinese population: A retrospective case-control study.FRONTIERS IN ENDOCRINOLOGY,13,
MLA：
Liu, Jing,et al."Optimum non-invasive predictive indicators for metabolic dysfunction-associated fatty liver disease and its subgroups in the Chinese population: A retrospective case-control study".FRONTIERS IN ENDOCRINOLOGY 13.(2022)
