Atherogenic index of plasma combined with waist circumference and body mass index to predict metabolic-associated fatty liver disease

BACKGROUNDEarly identification of metabolic-associated fatty liver disease (MAFLD) is urgent. Atherogenic index of plasma (AIP) is a reference predictor of obesity-related diseases, but its predictive value for MAFLD remains unclear. No studies have reported whether its combination with waist circum...

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Published in:World journal of gastroenterology : WJG Vol. 28; no. 36; pp. 5364 - 5379
Main Authors: Duan, Shao-Jie, Ren, Zhi-Ying, Zheng, Tao, Peng, Hong-Ye, Niu, Zuo-Hu, Xia, Hui, Chen, Jia-Liang, Zhou, Yuan-Chen, Wang, Rong-Rui, Yao, Shu-Kun
Format: Journal Article
Language:English
Published: Baishideng Publishing Group Inc 28-09-2022
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Summary:BACKGROUNDEarly identification of metabolic-associated fatty liver disease (MAFLD) is urgent. Atherogenic index of plasma (AIP) is a reference predictor of obesity-related diseases, but its predictive value for MAFLD remains unclear. No studies have reported whether its combination with waist circumference (WC) and body mass index (BMI) can improve the predictive performance for MAFLD. AIMTo systematically explore the relationship between AIP and MAFLD and evaluate its predictive value for MAFLD and to pioneer a novel noninvasive predictive model combining AIP, WC, and BMI while validating its predictive performance for MAFLD. METHODSThis cross-sectional study consecutively enrolled 864 participants. Multivariate logistic regression analysis and receiver operating characteristic curve were used to evaluate the relationship between AIP and MAFLD and its predictive power for MAFLD. The novel prediction model A-W-B combining AIP, WC, and BMI to predict MAFLD was established, and internal verification was completed by magnetic resonance imaging diagnosis. RESULTSSubjects with higher AIP exhibited a significantly increased risk of MAFLD, with an odds ratio of 12.420 (6.008-25.675) for AIP after adjusting for various confounding factors. The area under receiver operating characteristic curve of the A-W-B model was 0.833 (0.807-0.858), which was significantly higher than that of AIP, WC, and BMI (all P < 0.05). Subgroup analysis illustrated that the A-W-B model had significantly higher area under receiver operating characteristic curves in female, young and nonobese subgroups (all P < 0.05). The best cutoff values for the A-W-B model to predict MAFLD in males and females were 0.5932 and 0.4105, respectively. Additionally, in the validation set, the area under receiver operating characteristic curve of the A-W-B model to predict MAFLD was 0.862 (0.791-0.916). The A-W-B level was strongly and positively associated with the liver proton density fat fraction (r = 0.630, P < 0.001) and significantly increased with the severity of MAFLD (P < 0.05). CONCLUSIONAIP was strongly and positively associated with the risk of MAFLD and can be a reference predictor for MAFLD. The novel prediction model A-W-B combining AIP, WC, and BMI can significantly improve the predictive ability of MAFLD and provide better services for clinical prediction and screening of MAFLD.
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Author contributions: Duan SJ designed and performed the study, analyzed the data, and drafted the manuscript; Ren ZY, Zheng T, Peng HY, Niu ZH, and Wang RR collected the samples and clinical data of the patients; Xia H, Chen JL, and Zhou YC took part in designing the study and analyzing the data; Yao SK designed the study, supervised the study performance, and revised the manuscript.
Corresponding author: Shu-Kun Yao, MD, Professor, Department of Gastroenterology, China-Japan Friendship Hospital, No. 2 Yinghua East Street, Chaoyang District, Beijing 100029, China. shukunyao@126.com
ISSN:1007-9327
2219-2840
DOI:10.3748/wjg.v28.i36.5364