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Niu Z, Chen J, Wang H, Wang R, Peng H, Duan S, Yao S. Predictive Value of the Chinese Visceral Adiposity Index for Metabolic Dysfunction-Associated Fatty Liver Disease and Elevated Alanine Aminotransferase Levels in Nonobese Chinese Adults: A Cross-Sectional Study. J Inflamm Res 2024; 17:3893-3913. [PMID: 38915805 PMCID: PMC11194174 DOI: 10.2147/jir.s468093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Accepted: 06/08/2024] [Indexed: 06/26/2024] Open
Abstract
Purpose It is unclear how the Chinese Visceral Adiposity Index (cVAI) relates to metabolic dysfunction-associated fatty liver disease (MAFLD) and alanine aminotransferase (ALT) in nonobese individuals. In this study, we evaluated the ability of the cVAI to predict MAFLD and elevated ALT in nonobese participants. Methods This cross-sectional study recruited 541 nonobese subjects from March 2019 to January 2022 with the age range of 18-80 years. Hepatic steatosis was diagnosed by ultrasound. Participants were divided into four groups according to cVAI quartiles. To assess the associations between cVAI and MAFLD and elevated ALT, multivariate logistic regression was used. Receiver operating characteristic (ROC) curves were generated to evaluate the ability of the cVAI to predict MAFLD and elevated ALT. Results Compared to the group with the lowest cVAI, the group with the highest cVAI was positively associated with nonobese MAFLD [16.173 (4.082-64.073), P < 0.001] and elevated ALT [8.463 (2.859-25.049), P < 0.001]. The area under the ROC curve (AUC) of the cVAI was greater than that of WC, waist-to-height ratio, or BMI for predicting nonobese MAFLD in the male, female, > 38 and ≤ 38 years old subgroups (P < 0.05), respectively. In addition, the ability of the cVAI to predict MAFLD was better in females, young individuals, and individuals with a higher education level (P < 0.05). The cVAI also had good predictive ability for elevated ALT levels [0.655 (0.602-0.708)], particularly in females, young people, and highly educated participants. Furthermore, the cVAI was strongly positively correlated with the liver fibrosis score (P < 0.05) and was also a strong indicator of concomitant metabolic syndrome in nonobese MAFLD patients [AUC = 0.688 (0.612-0.763)]. Conclusion The cVAI was strongly related to nonobese MAFLD and elevated ALT. The cVAI may be a reliable and accessible predictor of nonobese MAFLD and elevated ALT.
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Affiliation(s)
- Zuohu Niu
- Department of Infections, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, People’s Republic of China
| | - Jialiang Chen
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Huijing Wang
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Rongrui Wang
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, People’s Republic of China
| | - Hongye Peng
- Graduate School, Beijing University of Chinese Medicine, Beijing, People’s Republic of China
| | - Shaojie Duan
- Department of Geriatrics, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, People’s Republic of China
| | - Shukun Yao
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, People’s Republic of China
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Chen Y, Lu C, Ju H, Zhou Q, Zhao X. Elevated AIP is associated with the prevalence of MAFLD in the US adults: evidence from NHANES 2017-2018. Front Endocrinol (Lausanne) 2024; 15:1405828. [PMID: 38808115 PMCID: PMC11130487 DOI: 10.3389/fendo.2024.1405828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Accepted: 04/30/2024] [Indexed: 05/30/2024] Open
Abstract
Background Atherogenic Index of plasma (AIP) is closely related to metabolic abnormalities. But as of now, there is no definitive conclusion on the dose-response relationship pattern between AIP and metabolic associated fatty liver disease (MAFLD). Objective The objective of this study was to provide a fresh insight for understanding the intrinsic link between AIP and the prevalence of MAFLD by exploring the dose-response pattern between AIP and MAFLD. Methods A total of 9254 participants received the survey and 1090 participants were finally included according to the screening criteria. To evaluate the association between AIP and the prevalence of MAFLD based on weighted multivariate logistic regression. Sensitivity analysis of the association between AIP and MAFLD was performed using propensity score matching (PSM). Restrictive cubic splines (RCS) were used to identify patterns of dose-response relationships between AIP and MAFLD, and receiver operator characteristic (ROC) curves were used to evaluate the predictive ability of AIP and traditional lipid parameters for MAFLD. Results In this study, a total of 563 participants were found to have MAFLD. The results of weighted multivariate logistic regression analysis demonstrated that, after adjusting for sex and age, participants in the highest quartile (Q4) of AIP had a significantly increased risk of developing MAFLD compared to those in the lowest quartile (Q1) (Model 2: OR = 9.03, 95% CI 4.75-17.17). A similar trend was observed in the fully adjusted model (Model 3: OR = 3.85, 95% CI 1.55-9.52). The RCS analysis revealed a linear dose-response association between AIP and MAFLD(P for crude non-linearity = 0.087). This association remained significant after accounting for potential confounding variables(P for adjusted non-linearity = 0.663). The ROC curve results suggest that AIP performs better than traditional lipid indicators in predicting MAFLD (AUC = 0.732, 95%CI 0.705-0.758). Conclusion A linear dose-response relationship exists between AIP and MAFLD, suggesting that as AIP increases, so does the risk of developing MAFLD.
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Affiliation(s)
| | | | | | | | - Xin Zhao
- Department of Cardiology, The Second Hospital of Dalian Medical University, Dalian, China
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Wu Z, Huang K, Bao S, Zhang X, Li J, Kong W, Shi Y, Xie Y. The association of triglyceride-glucose-waist circumference with metabolic associated fatty liver disease and the severity of liver steatosis and fibrosis in American adults: a population-based study. Scand J Gastroenterol 2024; 59:561-569. [PMID: 38235548 DOI: 10.1080/00365521.2024.2305268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 01/08/2024] [Indexed: 01/19/2024]
Abstract
BACKGROUND The global obesity pandemic has led to an alarming rise in the prevalence of metabolic-associated fatty liver disease (MAFLD), making it a substantial clinical and economic burden on society. Early detection and effective treatment of MAFLD are imperative to mitigate its impact. METHODS This cross-sectional study was conducted involving 4634 adults from the National Health and Nutrition Examination Surveys (NHANES) 2017-2018 cycle. Transient elastography (TE) was used to diagnose MAFLD and assess the extent of liver steatosis and fibrosis. Multivariate logistic regression models were utilized to examine the association between the triglyceride and glucose index-waist circumference (TyG-WC) and the risk of MAFLD, liver fibrosis, and steatosis. RESULTS A positive association between TyG-WC and MAFLD persisted across all three models: model1: OR = 8.44, 95% CI: 6.85-10.38 (unadjusted), model2: OR = 8.28, 95% CI: 6.53-10.50 (partially adjusted), and model3: OR = 7.98, 95% CI: 4.11-15.46 (fully adjusted). Further investigation through interaction and stratified analysis revealed that this association was more pronounced in the non-obese and Non-Hispanic White persons groups. Moreover, a non-linear relationship analysis unveiled threshold and saturation effects between TyG-WC and MAFLD. Specifically, a TyG-WC value of approximately 600 may represent the threshold effect for MAFLD risk, while 1200 may signify the saturation effect of MAFLD risk. Finally, a robust correlation between TyG-WC and the severity of liver steatosis and fibrosis was found. CONCLUSIONS The findings suggest that the TyG-WC index exhibits excellent predictive value for MAFLD in the general American population.
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Affiliation(s)
- Zhouxiao Wu
- Health Science Center, Ningbo University, Ningbo, Zhejiang, China
- Department of Infectious Diseases, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
- Department of Hepatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Kai Huang
- Department of General Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Sizeng Bao
- Department of Nephrology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Xiangyu Zhang
- Department of Nephrology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Jingwen Li
- Department of Infectious Diseases, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
- Department of Hepatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Weiliang Kong
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Yanmei Shi
- Department of Infectious Diseases, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
- Department of Hepatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Yilian Xie
- Department of Infectious Diseases, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
- Department of Hepatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
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Li XM, Liu SL, He YJ, Shu JC. Using new indices to predict metabolism dysfunction-associated fatty liver disease (MAFLD): analysis of the national health and nutrition examination survey database. BMC Gastroenterol 2024; 24:109. [PMID: 38491451 PMCID: PMC10943835 DOI: 10.1186/s12876-024-03190-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 02/29/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND Metabolism dysfunction-associated fatty liver disease (MAFLD), is the most common chronic liver disease. Few MAFLD predictions are simple and accurate. We examined the predictive performance of the albumin-to-glutamyl transpeptidase ratio (AGTR), plasma atherogenicity index (AIP), and serum uric acid to high-density lipoprotein cholesterol ratio (UHR) for MAFLD to design practical, inexpensive, and reliable models. METHODS The National Health and Nutrition Examination Survey (NHANES) 2007-2016 cycle dataset, which contained 12,654 participants, was filtered and randomly separated into internal validation and training sets. This study examined the relationships of the AGTR and AIP with MAFLD using binary multifactor logistic regression. We then created a MAFLD predictive model using the training dataset and validated the predictive model performance with the 2017-2018 NHANES and internal datasets. RESULTS In the total population, the predictive ability (AUC) of the AIP, AGTR, UHR, and the combination of all three for MAFLD showed in the following order: 0.749, 0.773, 0.728 and 0.824. Further subgroup analysis showed that the AGTR (AUC1 = 0.796; AUC2 = 0.690) and the combination of the three measures (AUC1 = 0.863; AUC2 = 0.766) better predicted MAFLD in nondiabetic patients. Joint prediction outperformed the individual measures in predicting MAFLD in the subgroups. Additionally, the model better predicted female MAFLD. Adding waist circumference and or BMI to this model improves predictive performance. CONCLUSION Our study showed that the AGTR, AIP, and UHR had strong MAFLD predictive value, and their combination can increase MAFLD predictive performance. They also performed better in females.
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Affiliation(s)
- Xu Ming Li
- Department of Gastroenterology, Guangzhou Red Cross Hospital(Guangzhou Red Cross Hospital of Jinan University), Jinan University, Guangzhou, China
| | - Song Lian Liu
- Department of Hepatology, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ya Jun He
- Department of Gastroenterology, Guangzhou Red Cross Hospital(Guangzhou Red Cross Hospital of Jinan University), Jinan University, Guangzhou, China
| | - Jian Chang Shu
- Department of Gastroenterology, Guangzhou Red Cross Hospital(Guangzhou Red Cross Hospital of Jinan University), Jinan University, Guangzhou, China.
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Jia Z, Pan X, Chen S. The Combination of Remnant Cholesterol and Waist Circumference Offers Predictive Value for Nonalcoholic Fatty Liver Disease: A Cross-Sectional Study from a Medical Examination Center. Diabetes Metab Syndr Obes 2023; 16:3459-3469. [PMID: 37937236 PMCID: PMC10627089 DOI: 10.2147/dmso.s429963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 10/25/2023] [Indexed: 11/09/2023] Open
Abstract
Objective To explore the association between levels of remnant cholesterol (RC) and the incidence of non-alcoholic fatty liver disease (NAFLD) in the general population, ultimately leading to the assessment of a novel proposed model combining RC and waist circumference (R-W) as a predictor of NAFLD incidence. Methods A cross-sectional analysis was conducted of 4913 subjects undergoing physical examinations at Hebei General Hospital, with ultrasound findings being used to classify patients into individuals with and without NAFLD. Median RC values were used to separate subjects into those with low and high levels of RC, after which the predictive performance of RC and the novel R-W model when used to assess NAFLD risk was assessed through multifactorial logistic regression analyses and receiver operating characteristic curves. Results Subjects exhibiting higher RC levels were found to exhibit an elevated risk of NAFLD incidence with or without adjusting for confounding factors. The binary logistic regression analysis-based R-W model may thus offer utility as a tool to gauge the risk of NAFLD in the general population, as it outperformed RC or WC alone, particularly when assessing women or individuals < 45 years of age. The area under the ROC curve for this combined R-W model was 0.813 (0.802, 0.824), with respective sensitivity and specificity values of 83.86% and 63.91%, all of which were significantly higher than corresponding values for RC and WC (P < 0.001). Conclusion The present supports a strong association between RC levels and NAFLD in the general populace, and the combined R-W model exhibits greater utility as a tool to predict NAFLD incidence relative to RC or WC in isolation, particularly for individuals who are female or <45 years old.
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Affiliation(s)
- Zhuoya Jia
- Graduate School of Hebei Medical University, Shijiazhuang, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Xiaoyu Pan
- Graduate School of Hebei Medical University, Shijiazhuang, People’s Republic of China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
| | - Shuchun Chen
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, People’s Republic of China
- Key Laboratory of Metabolic Diseases of Hebei Province, Shijiazhuang, People’s Republic of China
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