Associations of lipid accumulation product, visceral adiposity index, and triglyceride-glucose index with subclinical organ damage in healthy Chinese adults

Frontiers in Endocrinology

Endocrinology

Xiao-Yu Zhang¹  Guan-Ji Wu²  Lan Wang³  Wei-Hua Gao⁴  Jie Zhang⁵  Wen-Jing Luo⁶  Ze-Jiaxin Niu⁶  Ke Gao⁶  Xi Zhang⁶  Zi-Yue Man⁶  Ming-Fei Du⁷  Chen Chen⁷  Chao Chu⁷  Qiong Ma⁷  Dan Wang⁷  Jian-Jun Mu⁷  Ke-Ke Wang⁷  Yu Yan⁷  Hao Jia⁷  Gui-Lin Hu⁷  Yue-Yuan Liao⁷  Yue Sun⁷  Yang Wang⁷  Hao Li⁸ 

[1] Department of Cardiology, Northwest Women’s and Children’s Hospital of Xi’an Jiaotong University Health Science Center, Xi’an, China;Department of Cardiology, Xi’an Central Hospital of Xi’an Jiaotong University, Xi’an, China;Department of Cardiology, Xi’an International Medical Center Hospital, Xi’an, China;Department of Cardiology, Xi’an No.1 Hospital, Xi’an, China;Department of Cardiology, Xi’an People’s Hospital, Xi’an, China;Department of Cardiovascular Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China;Department of Cardiovascular Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China;Key Laboratory of Molecular Cardiology of Shaanxi Province, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China;Department of Critical Care Medicine, First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China;

关键词: lipid accumulation product;    visceral adiposity index;    triglyceride-glucose index;    albuminuria;    arterial stiffness;    left ventricular hypertrophy;    subclinical organ damage;   

DOI  :  10.3389/fendo.2023.1164592

 received in 2023-02-13, accepted in 2023-08-28,  发布年份 2023

来源: Frontiers

【 摘 要 】

Background and aimsObesity is an independent risk factor for cardiovascular disease development. Here, we aimed to examine and compare the predictive values of three novel obesity indices, lipid accumulation product (LAP), visceral adiposity index (VAI), and triglyceride-glucose (TyG) index, for cardiovascular subclinical organ damage.MethodsA total of 1,773 healthy individuals from the Hanzhong Adolescent Hypertension Study cohort were enrolled. Anthropometric, biochemical, urinary albumin-to-creatinine ratio (uACR), brachial-ankle pulse wave velocity (baPWV), and Cornell voltage-duration product data were collected. Furthermore, the potential risk factors for subclinical organ damage were investigated, with particular emphasis on examining the predictive value of the LAP, VAI, and TyG index for detecting subclinical organ damage.ResultsLAP, VAI, and TyG index exhibited a significant positive association with baPWV and uACR. However, only LAP and VAI were found to have a positive correlation with Cornell product. While the three indices did not show an association with electrocardiographic left ventricular hypertrophy, higher values of LAP and TyG index were significantly associated with an increased risk of arterial stiffness and albuminuria. Furthermore, after dividing the population into quartiles, the fourth quartiles of LAP and TyG index showed a significant association with arterial stiffness and albuminuria when compared with the first quartiles, in both unadjusted and fully adjusted models. Additionally, the concordance index (C-index) values for LAP, VAI, and TyG index were reasonably high for arterial stiffness (0.856, 0.856, and 0.857, respectively) and albuminuria (0.739, 0.737, and 0.746, respectively). Lastly, the analyses of continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI) demonstrated that the TyG index exhibited significantly higher predictive values for arterial stiffness and albuminuria compared with LAP and VAI.ConclusionLAP, VAI, and, especially, TyG index demonstrated utility in screening cardiovascular subclinical organ damage among Chinese adults in this community-based sample. These indices have the potential to function as markers for early detection of cardiovascular disease in otherwise healthy individuals.

【 授权许可】

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Copyright © 2023 Du, Zhang, Hu, Mu, Chu, Liao, Chen, Wang, Ma, Yan, Jia, Wang, Sun, Niu, Man, Wang, Zhang, Luo, Gao, Li, Wu, Gao, Zhang and Wang