Comparison of seven surrogate insulin resistance indexes for predicting the prevalence of carotid atherosclerosis in normal-weight individuals

Bibliographic Data

ID22089447
AuthorsZeyu Liu (0000-0001-7249-1302, Central South University), Bi Deng, Deng Bi (Central South University), Qin Huang (0000-0003-4139-3819, Peking University), Ruxin Tu (0000-0003-1379-4201, Central South University), Fang Yu (0000-0001-7385-163X, Central South University), Jian Xia (0000-0001-9154-131X), Xia Jian (0009-0008-1771-9245, Central South University), Jie Feng (0000-0002-3988-9148, Central South University, corresponding author)
Year2023
Volume11
Pages1241523-1241523
Publication date2023-08-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1241523
PMID37719743
OpenAlexW4386307448
LanguageEN
References cited52

Introduction The aim of this study was to assess the correlation between surrogate insulin resistance (IR) indexes and carotid atherosclerosis (CA) in normal-weight populations, as well as compared their ability to predict CA. Method A total of 26,795 middle-aged and older adult individuals with normal body weights were included. Triglyceride-glucose index (TyG), TyG-body mass index, TyG-waist circumference (TyG-WC), TyG-waist-to-height ratio (TyG-WHtR), visceral adiposity index, Chinese VAI (CVAI) and lipid accumulation product (LAP) were determined using established formulas. The associations between these surrogate indexes and CA were assessed using logistic regression models and restricted cubic spline (RCS) analysis. Receiver operating characteristic curves were utilized to compare the performance of these indexes for predicting CA. Result The levels of all seven surrogate indexes of IR were significantly higher in normal-weight individuals with CA than in those without CA ( p 89.83, LAP >28.91, TyG-WHtR >4.42 and TyG-WC >704.93. The area under the curve for CVAI was significantly greater than for other indexes ( p < 0.001). Conclusion CVAI, TyG-WC, TyG-WHtR and LAP were independently associated with the prevalence of CA. Specifically, CVAI may be the most appropriate predictor of CA in normal-weight individuals

Body mass index · Cardiology · Diabetes mellitus · Insulin resistance · Obesity · Surrogate endpoint · Adipokines, Inflammation, and Metabolic Diseases · Cardiovascular Disease and Adiposity · Diabetes, Cardiovascular Risks, and Lipoproteins · Medicine · Endocrinology · Internal Medicine

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