Can Visceral Adiposity Index Serve as a Simple Tool for Identifying Individuals with Insulin Resistance in Daily Clinical Practice?

Calculated whole blood viscosity in non-diabetic subjects with asymptomatic carotid atherosclerosis: How insulin resistance may affect blood viscosity

BACKGROUND AND OBJECTIVE

Asymptomatic atherosclerosis is an important early marker of vascular damage and, among its risk factors, hemorheological alterations play an important role.

PATIENTS AND METHODS

In a cohort of 85 non-diabetic subjects with asymptomatic carotid atherosclerosis (ACA), we have measured whole blood viscosity (cWBV) according to the haematocrit and plasma fibrinogen level. The cWBV distinguish the subgroup of ACA subjects with 3-5 cardiovascular risk factors (CRFs) from that with 1-2 CRFs and the same behavior is present for haematocrit and plasma fibrinogen level. Therefore, we divided the whole group of ACA subjects according to the medians of the four surrogate indexes with an insulin resistance degree of TG/HDL-C, TyG, VAI and LAP.

RESULTS

The analysis of the correlation between cWBV and each index of insulin resistance has shown that no correlation is present in the whole group and in the group of ACA subjects with 1-2 CRFs, while in the subgroup with 3-5 CRFs there is a positive correlation between cWBV with TG/HDL-C and TyG at a low degree of statistical significance.

CONCLUSIONS

The date underline that subjects with this clinical condition have an unaltered evaluation of the cWBV compared to the other indices.

Association of lipid accumulation product and visceral adiposity index with the risk of hypertension among oil workers in Xinjiang, China

Background

To explore the relationship between lipid accumulation product (LAP) and visceral adiposity index (VAI) and hypertension in oil workers and to evaluate the predictive value of hypertension by gender.

Methods

A sample of 2,312 workers aged 18-60 years old with more than one year of service were selected by a whole-group random sampling method in six oil field bases in Karamay City, Xinjiang. Logistic regression combined with restricted cubic spline model was used to analyze the risk of hypertension in different LAP and VAI. The receiver operator characteristic curve (ROC) with different sex LAP and VAI predicting the risk of hypertension were drawn.

Results

(1) There were significant differences in age, smoking, alcohol consumption, hypertension, BMI, WC, WHtR, SBP, DBP, TC, TG, HDL, LDL, FPG and Scr among different gender groups (P < 0.001).The prevalence of hypertension was 10.1%, with 13.9% in men and 3.6% in women. The prevalence of hypertension with different individual characteristics was statistically significant (P < 0.05). (2) Lipid accumulation product and visceral adiposity index were positively associated with hypertension (P < 0.001). The risk of hypertension may increase with the increase of lipid accumulation product and visceral adiposity index. After adjusting for age, sex, BMI, Scr, FPG and other factors, the risk of hypertension in the fourth quartile was (OR = 5.69, 95% CI [2.72-11.8]) and (OR = 3.56, 95% CI [2.03-6.23]) compared with the first quartile of lipid accumulation product and visceral adiposity index. (3) ROC results showed: AUC values of 0.658 (95% CI [0.619-0.696]), 0.614 (95% CI [0.574-0.654]), 0.661 (95% CI [0.620-0.703]) and critical values of 43.25, 1.58, 0.13 for LAP, VAI and combined indicators in men; the AUC values of LAP, VAI and combined indicators for women were 0.787 (95% CI [0.710-0.865]), 0.732 (95% CI [0.640-0.825]), 0.792 (95% CI [0.719-0.864]) and the critical values were 35.73, 1.76 and 0.03. Restricted cubic splines showed a nonlinear dose-response relationship between LAP, VAI, and risk of hypertension prevalence (P < 0.01 for overall trend and P < 0.01 for nonlinearity).

Conclusions

Lipid accumulation product and visceral adiposity index may be risk factors for hypertension in oil workers. LAP and VAI have certain predictive value for hypertension.

Testosterone deficiency in non-obese type 2 diabetic male patients

BACKGROUND AND AIMS

it is unclear whether male hypogonadism is ascribable to the diabetic state per se, or because of other factors, such as obesity or age. We aimed to investigate the prevalence and identify the predictors for testosterone deficiency among non-obese type 2 diabetic males.

METHODS

This cross-sectional study was conducted on 95 nonobese type 2 diabetic males with BMI below 30. We evaluated the total testosterone (TT) levels to determine prevalence and risk factors of testosterone deficiency. Serum TT ≤ 300 ng/dl defined testosterone deficiency.

RESULTS

The prevalence of testosterone deficiency was 29.1%. Testosterone deficient patients had statistically significantly higher visceral adiposity index (VAI), waist, and triglyceride in comparison with normal testosterone patients. TT level correlated with VAI, waist, BMI, LH, and age. VAI was the only significant predictor of TT levels even after adjustment for age and BMI in regression analysis. Furthermore, VAI was a statistically significant risk factor for testosterone deficiency in binary logistic analysis.

CONCLUSIONS

testosterone deficient non-obese type 2 diabetic male patients had elevated VAI, waist, and triglyceride. Moreover, elevated VAI was a risk factor for testosterone deficiency. VAI could be an easily applicable and reliable index for the evaluation and prediction in type 2 non-obese diabetic males.

Establishment and Validation of a New Predictive Model for Insulin Resistance based on 2 Chinese Cohorts: A Cross-Sectional Study

Background

Visceral adiposity plays a key role in the development of insulin resistance (IR), so surrogate index that can indicate visceral obesity may have higher predictive value for IR. This study aimed to establish and validate a new predictive model including indicator of visceral obesity for IR.

Methods

The study population consisted of two cohorts. The derivation cohort was a group of 667 patients with newly diagnosed type 2 diabetes and the population undergoing a routine health checkup was the validation cohort. The predictive model was established by the logistic regression analysis. Its value for predicting IR was compared with other surrogate indices by the receiver operating characteristic curve.

Results

The odds ratio (OR) of age, visceral fat area (VFA), triglyceride (TG), fasting plasma glucose (FPG), and alanine aminotransferase (ALT) for IR was 1.028 (95% CI, 1.008-1.048) (P < 0.01), 1.016 (95% CI, 1.009-1.023) (P < 0.001), 1.184 (95% CI, 1.005-1.396) (P < 0.05), 1.334 (95% CI, 1.225-1.451) (P < 0.001), and 1.021 (95% CI, 1.001-1.040) (P < 0.05). The formula of the predictive model was (0.0293 × age + 1.4892 × Ln VFA + 0.4966 × Ln TG + 2.784 × Ln FPG + 0.6906 × Ln ALT)/2. The area under the curve was the largest among all the previously reported predictors.

Conclusions

This study established and validated a predicting model for IR and confirmed its predictive value in comparison with other surrogate indicators, which will offer a simple and effective tool to measure IR in future large population studies.

Leukocyte subtypes, gelatinases, and their tissue inhibitors in a group of subjects with asymptomatic carotid atherosclerosis

In a cohort of subjects with asymptomatic carotid atherosclerosis (ACA), we have evaluated the neutrophil and lymphocyte count and their ratio (NLR), the gelatinases (MMP-2 and MMP-9) and their tissue inhibitors (TIMP-1 and TIMP-2). At baseline, no difference was observed between ACA subjects and subject control group regarding neutrophil and lymphocyte count while was evident in ACA subjects a significant increase in MMP-2, MMP-9 and TIMP-2 associated to a significant decrease in TIMP-1. Dividing the ACA according to the number of cardiovascular risk factors (CRFs) we have observed an increase in lymphocyte count in the subgroup with 3-5 CRFs. Evaluating the leukocyte subtypes according to all the surrogate markers of insulin resistance has been noted, in the subgroups that exceed the medians of these markers, a significant increase in neutrophil and lymphocyte count without any variation of the NLR. Effecting the same evaluation for the MMP/TIMP pattern we observed, instead, that the same subgroups tend to show a decrease in MMP-2 and an increase in MMP-9. No difference instead for TIMP-1 and TIMP-2. The abnormality of the MMP/TIMP pattern, bearing in mind the cardiometabolic clustering present in this cohort of ACA subjects, would induce to use drugs able not only to cure the cardiometabolic risk factors but also to influence the MMP/TIMP profile.

Vitamin D Supplementation and Its Relationship with Loss of Visceral Adiposity

PURPOSE

An inverse relationship between vitamin D (VD) nutritional status and obesity is frequent, and the distribution of body fat is an important aspect to assess the risks of obesity-related metabolic dysfunction. The purpose of the study was to evaluate the relationship between serum VD concentrations and body fat reduction after 12 months of bariatric surgery, using two different vitamin D3 (VD3) supplementation protocols.

MATERIAL AND METHODS

A randomized controlled trial consisted of 41 patients divided into G1 (800 IU/day) and G2 (1800 IU/day) according to the VD3 supplementation. At baseline (T0) and follow-up (T1), 25(OH)D, waist circumference (WC), visceral adiposity index (VAI), body adiposity index (BAI), and waist/height ratio (WHtR) were evaluated.

RESULTS

In T0, the mean of 25(OH)D was lower in G2 compared to that in G1 (22.6 vs 23.6 ng/mL; p = 0.000). At T1, it had a significant increase in G2 (32.1 vs 29.9 ng/mL; p = 0.000), with 60% sufficiency. A significant negative correlation was observed between VAI, BAI, and WHtR with 25(OH)D in G2 (r =  - 0.746, p = 0.024; r =  - 0.411, p = 0.036; r =  - 0.441, p = 0.032) after surgery. Higher mean changes from baseline of visceral fat loss, represented by VAI, were observed in G2 (176.2 ± 149.0-75.5 ± 55.0, p = 0.000).

CONCLUSION

Patients submitted to the 1800 IU/day protocol, 12 months after the surgical procedure, had a higher percentage of sufficient vitamin D levels compared to those submitted to the 800 IU/day protocol. Additionally, higher dose supplementation promoted a significant improvement in VAI.

Metabolik sendrom, insülin direnci, diabetes mellitus ve hipertansiyonu öngörmede visseral adipozite indeksi kesme değerlerinin belirlenmesi

Introduction: The visceral adiposity index is a reliable indicator of visceral adipose tissue dysfunction. The aim of this research was to determine the cut-off points of the visceral adiposity index in predicting metabolic syndrome, insulin resistance, type 2 diabetes mellitus, and hypertension at specific age ranges and in both sexes separately.Methods: This research is both descriptive and analytical. The research was conducted with 951 participants aged 18 and over between July 2019 and July 2020. 51 participants that did not meet study criteria were excluded from the research. The research was completed with a total of 900 participants, 577 females and 373 males. A physical examination and anthropometric measurements (height, weight, waist circumference, and blood pressure) of all participants were conducted. After 12 hours of fasting, the HDL, TG, glucose, and insulin levels of participants were measured. The blood pressure of participants was measured after 15 minutes of rest. Adult treatment panel 3 criteria were used for the diagnosis of metabolic syndrome. A homeostatic model assessment was calculated. The visceral adiposity index is calculated in the entire population for the prediction of metabolic syndrome, insulin resistance, diabetes, and hypertension: women, men, age groups 18–30, 31–40, 41–50, 51–65, 66 and over.Results: Cut-off points of the visceral adiposity index in predicting metabolic syndrome were 4.53 in the total population and males, 4.28 in females, 4.76 in the 18-30 age range, 4.96 in the 31-40 age range, 4.87 in the 41-50 age range, 5.04 in the 51-65 age range, and 4.59 in the age range 66 and above. Cut-off points of the visceral adiposity index in predicting insulin resistance were 4.24 in the total population and females, 4.68 in males, 3.45 in the 18-30 age range, 4.15 in the 31-40 age range, 4.66 in the 41-50 age range, and 4.87 in the 51-65 age range. Cut-off points of the visceral adiposity index in predicting type 2 diabetes mellitus were 4.89 in the total population, 6.43 in females, 7.02 in the 31-40 age range, 7.29 in the 41-50 age range, and 5.98 in the 51-65 age range. Cut-off points of the visceral adiposity index in predicting hypertension were 4.26 in the total population, 4.07 in females, 4.64 in the 18–30 age range, and 4.43 in the 51–65 age range.Conclusions: The visceral adiposity index can be used to predict metabolic syndrome, insulin resistance, type 2 diabetes mellitus and hypertension.

The Accuracy of Visceral Adiposity Index for the Screening of Metabolic Syndrome: A Systematic Review and Meta-Analysis

BACKGROUND AND AIMS

Visceral adiposity index (VAI) is a novel marker of fat distribution and function which incorporates both anthropometric and laboratory measures. Recently, several studies have suggested VAI as a screening tool for metabolic syndrome (MetS). Here, we aimed to consolidate the results of these studies by performing a systematic review and meta-analysis.

METHODS AND RESULTS

We searched PubMed and EMBASE online databases for eligible studies that investigated the association of VAI and MetS. After reviewing 294 records, we included 33 eligible papers with a sum of 20516 MetS and 53242 healthy participants. The risk of bias in the included studies was assessed, and the relevant data was extracted. All included studies reported a significant association between VAI and MetS screening, but were highly heterogeneous in their reported effects. We pooled the diagnostic test accuracy metrics of VAI for MetS screening and showed that it has a moderate-to-high accuracy with an area under the summary receiver operating characteristics curve of 0.847, a pooled sensitivity of 78%, and a pooled specificity of 79%. Besides, we pooled the difference in means of VAI between patients with MetS and healthy controls, revealing that VAI was 2.15 units higher in MetS patients.

CONCLUSIONS

VAI is an accurate, low-cost, and widely available screening marker for MetS. However, further studies are needed to evaluate its applicability in clinical practice, determine an optimal cut-off, and identify populations that would benefit the most from it.

Visceral Adiposity Index, Triglyceride/High-Density Lipoprotein Ratio, and Lipid Accumulation Product Index to Discriminate Metabolic Syndrome Among Adult Type 1 Diabetes Patients

Background: Obesity and metabolic syndrome (MetS) are growing problems in type 1 diabetic patients; these can influence clinical complications and also treatment regimens. Visceral adipose tissue inflammation plays an important role in cardiovascular complications. Visceral adiposity index (VAI), lipid accumulation product index (LAP), and triglyceride (TG)/high-density lipoprotein (HDL) ratio have been strongly correlated with insulin resistance and visceral adipose tissue amount in previous studies. Therefore, this study aimed to investigate and compare the usefulness of these indices to detect MetS in patients with type 1 diabetes mellitus (T1DM). Materials and Methods: Patients with T1DM and gender- and age-matched controls were included in this cross-sectional study. MetS was defined using both International Diabetes Federation (IDF), World Health Organization (WHO), and National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria. T1DM patients were divided into two groups according to the IDF criteria. VAI, LAP, and TG/HDL ratio were calculated for all patients. Groups were compared accordingly. Results: One hundred twenty-six patients with T1DM were included in the study. Increased VAI was observed in association with MetS. Patients with MetS (32.2%) had the highest VAI than healthy controls (8.21 ± 8.86; 3.49 ± 2.73, respectively, P < 0.01). For determining MetS in type 1 diabetes, the cutoff value of VAI was 2.65 [area under the curve (AUC) = 0.837, sensitivity 80.0%, specificity 72.8%], LAP was 27.57 (AUC = 0.842, sensitivity 80.0%, specificity74.0%), TG/HDL ratio was 2.18 (AUC = 0.826, sensitivity 75.0%, specificity 74.0%), each P < 0.001. Conclusions: MetS becomes increasingly common in T1DM. VAI, LAP, and TG/HDL ratio were useful for predicting MetS in patients with T1DM.

Comparison of Various Obesity-Related Indices for Identification of Metabolic Syndrome: A Population-Based Study from Taiwan Biobank

This study aimed to evaluate the performance of 11 obesity-related indices, including body mass index (BMI), waist circumference, waist-to-height ratio, waist–hip ratio, a body shape index, abdominal volume index, body adiposity index, body roundness index, conicity index, visceral adiposity index (VAI), and triglyceride glucose (TyG) index, in identifying metabolic syndrome (MetS) in adults. The information of 5000 participants was obtained from the Taiwan Biobank. Logistic regression analyses were performed to determine the associations between MetS and obesity-related indices with odds ratio (ORs). The predictive performance of the indices to identify MetS was compared using receiver operating characteristic (ROC) curves and areas under curves (AUCs). Multivariate-adjusted logistic regression showed that the ORs for MetS increased across the quartiles of each index. ROC curves analysis demonstrated that TyG index had the greatest AUC in men (AUC = 0.850) and women (AUC = 0.890). Furthermore, VAI had the greatest AUC in men (AUC = 0.867) and women (AUC = 0.925) aged 30−50 years, while TyG index had the greatest AUC in men (AUC = 0.849) and women (AUC = 0.854) aged 51−70 years. Among the studied obesity-related indices, TyG index and VAI exhibited the best performance for identifying MetS in adults. TyG index and VAI may be the relevant indices to assess MetS in clinical practice.