Lipid accumulation product and triglycerides/glucose index are useful predictors of insulin resistance.
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.
Mazidi M
，Kengne AP
，Katsiki N
，Mikhailidis DP
，Banach M
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Comparison of the predictive power of adiposity indices and blood lipid indices for diagnosis of prediabetes.
The purpose of this study is to explore the association between adiposity indices and blood lipid indices and prediabetes. We compare the predictive value of new adiposity indices and traditional adiposity indices and blood lipid indices in the diagnosis of prediabetes.
This is a prospective cohort study of 7953 participants. The follow-up time was 3 years. The eight adiposity indices included the following: body mass index (BMI), waist circumference (WC), body roundness index (BRI), A Body Shape Index (ABSI), visceral adiposity index (VAI), lipid accumulation product (LAP), fatty liver index (FLI), and triglyceride-to-glucose fasting index (TyG), as well as four blood lipid indices as follows: total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL-C), and low-density lipoprotein (LDL-C).The association between adiposity indices and blood lipid indices for diagnosis of prediabetes was estimated using a logistic regression model to obtain the odds ratio (OR) and its 95% confidence interval (CI). We calculated the area under the curve (AUC) of receiver operating characteristic (ROC) curve analysis to measure the predictive value of adiposity indices and blood lipid indicators for the diagnosis of prediabetes in the general population stratified by gender.
The median age of the participants was 56 years old, men accounting for 35.3% of the final group. After adjusting for confounding factors, association of BMI, BRI, VAI, LAP, TyG, TC, TG, and LDL-C with prediabetes status was assessed at both baseline and follow-up. TyG (AUC, overall: 0.677 (95% CI, 0.665, 0.689), male: 0.645 (95% CI, 0.624-0.667), and female: 0.693 (95% CI, 0.678-0.708)) have better diagnostic value for prediabetes than VAI, LAP, FLI, TC, TG, HDL-C, and LDL-C. The predictive value of the combination of TyG, BRI, VAI, and TG significantly improves the power of any single index in the diagnosis of prediabetes. The AUC and corresponding 95% CI of TyG, BRI, VAI, and TG and the combination of these four indicators to diagnose prediabetes were 0.677 (0.665, 0.689), 0.630 (0.617, 0.643), 0.618 (0.606, 0.631), 0.622 (0.609, 0.635), and 0.728 (0.716, 0.739), respectively.
Among the eight adiposity indices and four blood lipid indices evaluated in the study, TyG had the highest diagnostic value for prediabetes in isolated indexes, and the combination of TyG, BRI, VAI, and TG significantly improved the diagnostic value for prediabetes of any single indicator.
Zhang Y
，Wang M
，Zuo Y
，Su X
，Wen J
，Zhai Q
，He Y
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