Lipid accumulation product and triglycerides/glucose index are useful predictors of insulin resistance

医学 胰岛素抵抗 内科学 内分泌学 索引(排版) 血甘油三酯 甘油三酯 产品(数学) 糖尿病 胆固醇 胰岛素 万维网 几何学 数学 计算机科学
作者
Mohsen Mazidi,André Pascal Kengne,Niki Katsiki,Dimitri P. Mikhailidis,Maciej Banach
出处
期刊:Journal of Diabetes and Its Complications [Elsevier BV]
卷期号:32 (3): 266-270 被引量:196
标识
DOI:10.1016/j.jdiacomp.2017.10.007
摘要

To investigate the association of triglycerides/glucose index (TyG index), anthropometrically predicted visceral adipose tissue (apVAT), lipid accumulation product (LAP), visceral adiposity index (VAI) and triglycerides (TG):high density lipoprotein-cholesterol (HDL-C) ratio with insulin resistance (IR) in adult Americans.This study was based on data from three NHANES cycles (2005 to 2010). The TyG index was calculated as ln [TG×fasting glucose/2]. VAI was calculated using gender-specific formulas: men [waist circumference (WC)/39.68+(1.88×body mass index (BMI)]×(TG/1.03)×(1.31/HDL-C); women: [WC/36.58+(1.89×BMI)]×(TG/0.81)×(1.52/HDL-C). LAP index was calculated as [WC-65]×[TG] in men, and [WC-58]×[TG] in women. Correlation and regression analyses accounted for the complex sampling of database.A total of 18,318 subjects was included in this analysis [mean age 47.6Years]; 48.7% (n=8918) men]. The homeostatic model assessment of insulin resistance (HOMA-IR) had a significant positive correlation with the TyG index (r=0.502), LAP (r=0.551), apVAT (r=0.454), TG:HDL-C ratio (r=0.441) and VAI (r=451) (p<0.001 for all comparisons). Bland-Altman plots showed no systematic errors. The optimal cut-off to predict HOMA-diagnosed IR was 0.473 (sensitivity=74.5% and specificity=72.7%) for LAP, 0.478 (75.9%, 71.9%) for TyG, 0.391 (70.4%, 67.1%) for VAI, 0.392 (77.1% and 62.0%) for TG:HDL-C ratio and 0.381 (63.8%, 74.8%) for apVAT.The LAP index is a simple, cheap and accurate although not perfect, surrogate marker of HOMA-diagnosed IR among adult Americans. Moreover, it has higher predictability than other screening tools which traditionally applied. Among the markers, apVAT had the highest specificity and the TG:HDL-C ratio had the highest sensitivity.
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