Literature DB >> 31798905

Relationships of surrogate indexes of insulin resistance with insulin sensitivity assessed by euglycemic hyperinsulinemic clamp and subclinical vascular damage.

Teresa Vanessa Fiorentino1, Maria Adelaide Marini2, Elena Succurro1, Francesco Andreozzi1, Giorgio Sesti3.   

Abstract

Introduction: Insulin resistance plays a crucial role in the pathogenesis of type 2 diabetes and cardiovascular disease. The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, visceral adiposity index (VAI), lipid accumulation product (LAP) and triglycerides × fasting glucose (TyG) index are surrogate measures of insulin sensitivity based on anthropometric and/or biochemical parameters routinely collected in clinical practice. Herein, we compared the relationships of these four surrogate indexes with insulin sensitivity assessed by the gold standard euglycemic hyperinsulinemic clamp technique, and subclinical vascular damage. Research design and methods: 631 subjects with different degrees of glucose tolerance underwent euglycemic hyperinsulinemic clamp. The surrogate TG/HDL-C ratio, VAI, LAP and TyG indexes were computed. Pulse pressure and carotid intima-media thickness (IMT) were measured as indicators of subclinical vascular damage.
Results: All the four surrogate indexes showed a significant correlation with insulin-stimulated glucose disposal in the whole study population. However, only LAP index had a significant association with insulin sensitivity across the different glucose tolerance groups. LAP index showed the highest area under the receiver operating characteristic curve (0.728) to detect individuals with insulin resistance defined as the bottom quartile of insulin-stimulated glucose disposal, followed by TG/HDL-C ratio (0.693), TyG index (0.688) and VAI (0.688). A significant association was found between the four indexes of insulin sensitivity and pulse pressure and IMT. All the four indexes have a similar ability to detect individuals with vascular atherosclerosis defined by IMT>0.9 mm. Conversely, LAP index had the greatest ability to recognize individuals with increased vascular stiffness defined by pulse pressure ≥60 mm Hg.
Conclusion: Among the surrogate TG/HDL-C ratio, VAI, LAP and TyG indexes of insulin sensitivity, LAP index showed a significant association with insulin-stimulated glucose disposal across the different glucose tolerance categories and the highest ability to detect insulin resistance and subclinical vascular damage. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  clamp euglycemic hyperinsulinemic; insulin resistance; vascular damage

Year:  2019        PMID: 31798905      PMCID: PMC6861112          DOI: 10.1136/bmjdrc-2019-000911

Source DB:  PubMed          Journal:  BMJ Open Diabetes Res Care        ISSN: 2052-4897


The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, visceral adiposity index (VAI), lipid accumulation product (LAP) and triglycerides × fasting glucose (TyG) index have been developed as surrogate measures of insulin resistance based on anthropometric and/or biochemical parameters routinely collected in clinical practice. Among the four surrogate indexes of insulin resistance, LAP index correlates better with insulin sensitivity assessed by the gold standard euglycemic hyperinsulinemic clamp technique. LAP index was the only surrogate index showing significant association with the insulin sensitivity in individuals with impaired glucose tolerance or type 2 diabetes. The ability of LAP index to identify subjects with insulin resistance is higher than TG/HDL-C ratio, VAI and TyG indexes. All the four indexes have a similar ability to detect individuals with subclinical atherosclerosis. Conversely, LAP index had the greatest ability to recognize individuals with increased vascular stiffness. Among the four surrogate measures of insulin resistance based on anthropometric and biochemical parameters, LAP index is the best discriminator of insulin resistance and subclinical vascular damage. Assessment of LAP index in clinical practice should be preferred to TG/HDL-C ratio, VAI and TyG indexes for a better cardiometabolic risk stratification.

Introduction

Insulin resistance is a characteristic trait of both pre-diabetes1–3 and metabolic syndrome.4–6 Insulin resistance is considered central to the pathophysiology of type 2 diabetes,7 8 and predicts the development of cardiovascular disease.9–11 Although insulin resistance is an important determinant of cardiometabolic diseases, a direct measure of insulin sensitivity by the gold standard euglycemic hyperinsulinemic clamp technique12 is impractical for large-scale epidemiological studies, due to the laborious, expensive, and time-consuming procedure required. Therefore, many surrogate indexes of insulin sensitivity have been proposed using anthropometric variables, fasting insulin and/or glucose levels or insulin and glucose levels during an oral glucose tolerance test (OGTT).13–15 An ideal surrogate index of insulin sensitivity for use in large epidemiological studies should be based on affordable anthropometric and/or laboratory measures routinely gathered in clinical settings. Among these, the visceral adiposity index (VAI),16 and the lipid accumulation product (LAP), both based on anthropometric and laboratory parameters17 have been developed and analyzed in relation to homeostatic model assessment of insulin resistance (HOMA-IR), but not to the gold standard measure of insulin sensitivity assessed by the euglycemic hyperinsulinemic clamp method.18–25 Additionally, two other surrogate indexes of insulin sensitivity based on plasma triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C) measurements, that is, the triglycerides × fasting glucose (TyG) index and TG/HDL-C concentration ratio, have been suggested as surrogate estimates of insulin sensitivity, and validated in comparison to the euglycemic hyperinsulinemic clamp method,26 the steady-state plasma glucose (SSPG) concentration during the insulin suppression test27 or a 3-hour hyperglycemic clamp test.28 Although these two lipid-based surrogate indexes have been studied in non-diabetic individuals, in subjects with impaired fasting glucose (IFG), and in patients with type 2 diabetes,26–28 it is unknown whether they might be useful in the identification of insulin resistance in individuals with impaired glucose tolerance (IGT). In the present study, we pursued two aims: (1) to compare VAI, LAP, TyG, and TG/HDL-C ratio surrogate indexes with the euglycemic hyperinsulinemic clamp method, the gold standard measure of insulin sensitivity, in a large cohort of European individuals with different degrees of glucose tolerance, and (2) to examine the relationship of surrogate measures of insulin sensitivity with classical and inflammatory cardiovascular risk factors, as well as carotid intima-media thickness (IMT), a reliable index of subclinical atherosclerosis29 related to insulin resistance.30

Methods

Study subjects

The study sample includes 631 adults (age >18 years) consecutively recruited at the Department of Systems Medicine, University of Tor Vergata, Rome, and at the Department of Medical and Surgical Sciences of the University ‘Magna Graecia’ of Catanzaro, Italy, according to a previously described protocol.3 31 On the first day, after an overnight fasting, all subjects underwent anthropometrical evaluation including measurements of body mass index (BMI), waist circumference, and body composition evaluated by bioelectrical impedance. Height was measured to the nearest 0.1 cm, while body weight was measured with a calibrated electronic scale to the nearest 0.1 kg. Waist circumference was measured at the umbilical level, at the midpoint between the iliac crest and the rib cage. The BMI was calculated as body weight in kilograms divided by height in square meters (kg/m2). Blood pressure was measured after a 5 min rest at the right upper arm, in the sitting position, with a sphygmomanometer for three times and the mean was used in the analyses. Pulse pressure was calculated as the difference between systolic blood pressure and diastolic blood pressure. A value of pulse pressure ≥60 mm Hg was used as index of increased vascular stiffness.32 A 75 g OGTT was performed with basal and 2-hour postload sampling for plasma glucose assays. On the second day, after a 12-hour fasting, participants underwent a euglycemic hyperinsulinemic clamp study, as previously described.33 Briefly, a priming dose of insulin was administrated during the early 10 min to acutely increase plasma insulin followed by continuous insulin infusion fixed at 40 mU/m2 × min. Blood glucose levels were maintained constant during the 2-hour clamp study by infusing 20% glucose at varying rates according to blood glucose measurements assessed by a glucose analyzer at 5 min intervals. Glucose metabolized by the whole body (M) was calculated as the mean rate of glucose infusion measured during the last 60 min of the clamp examination (steady state) and was expressed as milligrams per minute per kilogram fat-free mass (MFFM). Subjects were considered insulin resistant when they were in the lower quartile of MFFM values of the study cohort. Carotid IMT was measured by ATL HDI 3000 ultrasound system (Advanced Technology Laboratories, Bothell, WA) equipped with a 5 MHz linear array transducer as previously described.34 For each patient two measurements were performed bilaterally, and the values were averaged, to obtain the mean of IMT of the common carotid artery. Ultrasound examinations were performed by a skilled examiner who was unaware of clinical and laboratory findings of participants. A value of IMT>0.9 mm was used as index of vascular atherosclerosis.32 According to the American Diabetes Association (ADA) criteria,35 individuals were classified as having normal glucose tolerance (NGT) when fasting glucose levels were <100 mg/dL (5.5 mmol/L) and 2-hour postload <140 mg/dL (<7.77 mmol/L), isolated IFG when fasting glucose levels were 100–125 mg/dL (5.5–6.9 mmol/L) and 2-hour postload <140 mg/dL (<7.77 mmol/L), IGT when fasting glucose levels were <126 mg/dL (<7 mmol/L) and 2-hour postload was 140–199 mg/dL (7.77–11.0 mmol/L), and newly diagnosed type 2 diabetes when fasting glucose levels were ≥126 mg/dL (≥7 mmol/L) or 2-hour postload was ≥200 mg/dL (≥11.1 mmol/L).

Analytical determinations

Glucose, TGs, total cholesterol and HDL-C concentrations were determined by enzymatic methods (Roche, Basel, Switzerland). High-sensitivity C-reactive protein (hsCRP) levels were measured by automated instrument BN II System analyzer (Siemens Healthcare, Marburg, Germany) with the CardioPhase hsCRP kit. Uric acid concentrations were determined by the uricase/peroxidase method implemented in an autoanalyzer (Boehringer Mannheim, Mannheim, Germany). Plasma insulin concentrations were measured by a chemiluminescence-based assay (Immulite, Siemens, Italy).

Definition of LAP, VAI, TyG, and TG/HDL-C ratio surrogate indexes

The LAP index was calculated as (waist circumference – 65) × (TGs [mmol/L]) in men, and (waist circumference − 58) × (TG [mmol/L]) in women.17 The VAI was index calculated using gender-specific formulas: men (waist circumference / 39.68 + [1.88×BMI]) × (TGs / 1.03) × (1.31/HDL-C); women: (waist circumference / 36.58 + [1.89×BMI]) × (TGs / 0.81) × (1.52/HDL-C), where both TG and HDL-C levels are expressed in mmol/L.16 The TyG index was calculated as the Ln[fasting TGs (mg/dL) × fasting glucose (mg/dL)/2].26 The TG/HDL-C ratio was calculated as the ratio of TG (mg/dL) to HDL-C (mg/dL).27

Statistical analysis

TG/HDL-C ratio, LAP and VAI indexes, hsCRP, and TG values were natural log transformed for statistical analysis due to their skewed distribution. Continuous data are expressed as means±SD. A general linear model with adjustment for age and gender was used to compare anthropometric and metabolic differences between the groups. Categorical variables were compared by χ2 test. Relationships between variables were determined by Pearson’s correlation coefficient (r). As a measure of discrimination, the ability of each index to detect subjects with insulin resistance, defined as the lower quartile of MFFM values, vascular atherosclerosis, defined as IMT>0.9 mm, and increased vascular stiffness, defined as a pulse pressure ≥60 mm Hg,32 was assessed by the area under the receiver operating characteristic (ROC) curve. The area under the ROC curve (AUC) was used as a measure of how well surrogate indexes of insulin sensitivity identify insulin-resistant individuals, vascular damage or increased vascular stiffness. An AUC of 1.0 points to perfect classification of individuals with insulin resistance or organ damage, whereas 0.5 means that the classification is not better than chance. Statistical differences between the AUCs were determined by the method described by DeLong et al.36 Youden index was used to derive the optimal threshold of each marker to detect insulin resistance, vascular damage, and increased vascular stiffness. All tests were two sided, and a p value <0.05 was considered statistically significant. All calculations were performed with SPSS V.22.0 software program for Windows.

Results

A total of 631 individuals (350 women and 281 men) were enrolled, including 446 subjects with NGT, 60 subjects with IFG, 95 subjects with IGT, and 30 individuals with newly diagnosed type 2 diabetes. In the whole study sample, the mean age was 39.6±10.7 years, BMI was 30.0±7.1 kg/m2, and the proportion of participants with family history of type 2 diabetes was 75%. Anthropometric and biochemical features of the study participants grouped on the basis of glucose tolerance are shown in table 1. Deterioration of glucose homeostasis from NGT to type 2 diabetes was associated with age and several measures of adiposity, cardiometabolic and subclinical atherosclerosis including BMI, visceral adiposity, systolic blood pressure, pulse pressure, HDL, TGs, fasting and 2-hour postload glucose, uric acid, hsCRP, and IMT. As expected, deterioration of glucose homeostasis was associated with a graded decline in insulin sensitivity directly measured as insulin-stimulated glucose disposal (MFFM) by euglycemic hyperinsulinemic clamp study, and a graded increase in the values of the surrogate indexes of insulin resistance LAP, VAI, TyG, and TG/HDL-C concentration ratio (table 1).
Table 1

Clinical characteristics of study population subdivided according to glucose tolerance status

Whole sampleNGTIFGIGTType 2 diabetesP value
Gender (male/female)281/350179/26741/1942/5319/11<0.0001
Age (years)39.6±10.737.4±10.043.4±10.144.3±10.450.6±10.3<0.0001
BMI (kg/m2)30.0±7.129.3±7.229.8±5.833.2±6.631.7±7.4<0.0001*
Waist circumference (cm)97±1594±1597±13104±13106±17<0.0001*
Systolic blood pressure (mm Hg)126±16123±16132±14133±17138±170.004
Diastolic blood pressure (mm Hg)80±1179±1183±983±1188±110.14
Pulse pressure (mm Hg)45±1044±1048±950±1050±100.01
Total cholesterol (mg/dL)196±39193±38202±34207±41200±420.21
HDL (mg/dL)51±1453±1449±1148±1341±10<0.0001
Triglycerides (mg/dL)124±84109±62131±92158±96212±176<0.0001
Fasting glucose (mg/dL)92±1686±7105±495±12137±42<0.0001
2-hour glucose (mg/dL)116±33104±19106±19160±15211±40<0.0001
Uric acid (mg/dL)4.9±1.34.7±1.45.1±1.25.4±1.15.2±1.4<0.0001
hsCRP (mg/L)2.6±2.62.4±2.42.1±2.93.5±2.83.0±1.70.003
Intima-media thickness (mm)0.71±0.150.69±0.150.75±0.140.73±0.140.87±0.150.002
Insulin-stimulated glucose disposal (mg/min × kg FFM)8.7±4.39.5±4.48.9±3.96.5±3.45.4±2.8<0.0001
Steady-state plasma insulin levels during the clamp (mU/L)86±3384±3392±3293±3378±240.094
Triglyceride/HDL-C ratio2.81±2.652.37±1.893.08±3.13.63±2.866.15±5.93<0.0001
LAP index53.8±48.845.2±38.149.5±32.179.6±59.1109.5±97.7<0.0001
VAI1.93±1.831.63±1.201.93±1.822.59±2.084.28±4.61<0.0001
TyG index9.17±0.599.03±0.519.37±0.539.48±0.5310.1±0.73<0.0001

Data are means±SD. Triglyceride/HDL-C concentration ratio, LAP, VAI indexes, hsCRP, and triglyceride values were log transformed for statistical analysis, but values in the table represent back transformation to the original scale. Categorical variables were compared by χ2 test. Comparisons between the study groups were performed using a general linear model. P values refer to results after analyses with adjustment for age and gender.

*P values refer to results after analyses with adjustment for gender.

BMI, body mass index; FFM, fat-free mass; HDL, high-density lipoprotein; HDL-C, high-density lipoprotein cholesterol; hsCRP, high-sensitivity C-reactive protein; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; LAP, lipid accumulation product; NGT, normal glucose tolerance; TyG, triglycerides × fasting glucose; VAI, visceral adiposity index.

Clinical characteristics of study population subdivided according to glucose tolerance status Data are means±SD. Triglyceride/HDL-C concentration ratio, LAP, VAI indexes, hsCRP, and triglyceride values were log transformed for statistical analysis, but values in the table represent back transformation to the original scale. Categorical variables were compared by χ2 test. Comparisons between the study groups were performed using a general linear model. P values refer to results after analyses with adjustment for age and gender. *P values refer to results after analyses with adjustment for gender. BMI, body mass index; FFM, fat-free mass; HDL, high-density lipoprotein; HDL-C, high-density lipoprotein cholesterol; hsCRP, high-sensitivity C-reactive protein; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; LAP, lipid accumulation product; NGT, normal glucose tolerance; TyG, triglycerides × fasting glucose; VAI, visceral adiposity index.

Correlations of surrogate indexes of insulin resistance with insulin sensitivity assessed by euglycemic hyperinsulinemic clamp study

Table 2 shows the Pearson’s correlation coefficient between surrogate indexes of insulin resistance with insulin sensitivity directly assessed by euglycemic hyperinsulinemic clamp. All the four indexes showed a significant correlation with insulin-stimulated glucose disposal (MFFM) in the whole study group. However, when the relationships were examined across glucose tolerance groups the correlations remained statistically significant in subjects with NGT and IFG, but not among those with IGT or type 2 diabetes with the exception of LAP index (table 2). Indeed, the LAP index exhibited the stronger correlation with insulin-stimulated glucose disposal (MFFM) than did the other indexes across glucose tolerance groups. A significant difference in correlation coefficients using the Steiger’s Z test was observed by comparing LAP index and VAI (p=0.04) or TyG (p=0.03), but not in comparison with TG/HDL-C ratio (p=0.10).
Table 2

Pearson’s correlation coefficient relating surrogate indexes of insulin resistance to insulin-stimulated glucose disposal (MFFM) across glucose tolerance categories

Whole sample(n=631)P valueNGT(n=446)P valueIFG(n=60)P valueIGT(n=95)P valueType 2 diabetes(n=30)P value
Triglyceride/HDL-C ratio−0.411<0.0001−0.407<0.0001−0.2920.01−0.1090.14−0.3140.09
LAP index−0.469<0.0001−0.442<0.0001−0.488<0.0001−0.2520.007−0.4720.008
VAI−0.392<0.0001−0.372<0.0001−0.3160.007−0.1290.10−0.3270.07
TyG index−0.385<0.0001−0.374<0.0001−0.2680.01−0.0280.39−0.3320.07

HDL-C, high-density lipoprotein cholesterol; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; LAP, lipid accumulation product; NGT, normal glucose tolerance; TyG, triglycerides × fasting glucose; VAI, visceral adiposity index.

Pearson’s correlation coefficient relating surrogate indexes of insulin resistance to insulin-stimulated glucose disposal (MFFM) across glucose tolerance categories HDL-C, high-density lipoprotein cholesterol; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; LAP, lipid accumulation product; NGT, normal glucose tolerance; TyG, triglycerides × fasting glucose; VAI, visceral adiposity index. As a measure of discrimination, the ability of surrogate indexes to detect individuals with insulin resistance defined as the bottom quartile of MFFM values was assessed by the AUC. As shown in table 3, and online supplementary figure 1, LAP index had the highest AUC followed by TG/HDL-C ratio, TyG index and VAI in the whole study group.
Table 3

Discriminatory accuracy and cut-off values for triglyceride/HDL-C ratio, LAP, VAI, and TyG index in identifying subjects with insulin resistance defined as the bottom quartile of MFFM values

SensitivitySpecificityPositive predictive valueNegative predictive valueAUC (95% CI)P value*Diagnostic likelihood ratio (+)Youden indexCut-off
Triglyceride/HDL-C ratio0.820.480.350.890.693 (0.646 to 0.729)0.011.600.3090.57
LAP index0.700.650.400.860.728 (0.692 to 0.762)NA2.000.3503.84
VAI0.730.540.350.860.688 (0.650 to 0.724)0.0021.610.2760.34
TyG index0.590.700.400.840.688 (0.650 to 0.723)0.0052.040.3059.36

*P value of receiver operating characteristic (ROC) test between each marker and benchmark LAP index, respectively.

AUC, area under the ROC curve; HDL-C, high-density lipoprotein cholesterol; LAP, lipid accumulation product; NA, not applicable; TyG, triglycerides × fasting glucose; VAI, visceral adiposity index.

Discriminatory accuracy and cut-off values for triglyceride/HDL-C ratio, LAP, VAI, and TyG index in identifying subjects with insulin resistance defined as the bottom quartile of MFFM values *P value of receiver operating characteristic (ROC) test between each marker and benchmark LAP index, respectively. AUC, area under the ROC curve; HDL-C, high-density lipoprotein cholesterol; LAP, lipid accumulation product; NA, not applicable; TyG, triglycerides × fasting glucose; VAI, visceral adiposity index.

Correlations of surrogate indexes of insulin resistance with cardiometabolic risk factors and subclinical vascular damage and stiffness

Table 4 shows the Pearson’s correlation coefficient between surrogate indexes of insulin resistance with cardiometabolic risk factors and indicators of vascular damage including pulse pressure and IMT. All the four indexes showed a highly significant correlation with systolic and diastolic blood pressure, pulse pressure, uric acid levels, hsCRP, and IMT.
Table 4

Pearson’s correlation coefficient relating surrogate indexes of insulin resistance to cardiometabolic risk factors and subclinical vascular damage

Triglyceride/HDL-C ratioP valueLAP indexP valueVAIP valueTyG indexP value
Systolic blood pressure (mm Hg)0.296<0.00010.421<0.00010.268<0.00010.358<0.0001
Diastolic blood pressure (mm Hg)0.293<0.00010.406<0.00010.260<0.00010.338<0.0001
Pulse pressure (mm Hg)0.152<0.00010.229<0.00010.145<0.00010.203<0.0001
Uric acid (mg/dL)0.437<0.00010.449<0.00010.346<0.00010.383<0.0001
hsCRP (mg/L)0.267<0.00010.443<0.00010.314<0.00010.234<0.0001
Intima-media thickness (mm)0.233<0.00010.247<0.00010.212<0.00010.276<0.0001

HDL-C, high-density lipoprotein cholesterol; hsCRP, high-sensitivity C-reactive protein; LAP, lipid accumulation product; TyG, triglycerides × fasting glucose; VAI, visceral adiposity index.

Pearson’s correlation coefficient relating surrogate indexes of insulin resistance to cardiometabolic risk factors and subclinical vascular damage HDL-C, high-density lipoprotein cholesterol; hsCRP, high-sensitivity C-reactive protein; LAP, lipid accumulation product; TyG, triglycerides × fasting glucose; VAI, visceral adiposity index. We evaluated the ability of surrogate indexes of insulin resistance to detect individuals with atherosclerosis, defined as IMT>0.9 mm, and increased vascular stiffness, defined as pulse pressure ≥60 mm Hg. As shown in table 5, and online supplementary figures 2 and 3, no differences were observed in the ability of the four surrogate indexes in detecting individuals with atherosclerosis as indicated by similar values of AUCs. By contrast, LAP index had the greatest ability to detect individuals with increased vascular stiffness as assessed by the higher value of the AUC (table 5).
Table 5

Discriminatory accuracy and cut-off values for triglyceride/HDL-C ratio, LAP, VAI, and TyG index in identifying individuals with subclinical vascular damage

SensitivitySpecificityPositive predictive valueNegative predictive valueAUC (95% CI)P value*Diagnostic likelihood ratio (+)Youden indexCut-off
Vascular atherosclerosis defined as IMT>0.9 mm
Triglyceride/HDL-C ratio0.9500.4120.1340.9890.701 (0.656 to 0.742)0.151.620.3620.499
LAP index0.9000.4940.1460.9810.742 (0.699 to 0.782)NA1.780.3943.623
VAI0.7500.6010.1530.9620.705 (0.661 to 0.747)0.121.880.3510.484
TyG index0.8250.5920.1630.9720.739 (0.696 to 0.779)0.912.020.4179.192
Increased vascular stiffness defined as pulse pressure >60mm Hg
Triglyceride/HDL-C ratio0.6620.4730.1690.8970.551 (0.510 to 0.590)0.0011.260.1360.659
LAP index0.7210.5000.1890.9170.614 (0.574 to 0.652)NA1.440.2213.664
VAI0.7440.4150.1710.9090.562 (0.522 to 0.602)0.0011.270.2760.177
TyG index0.7440.4170.1710.9100.579 (0.539 to 0.618)0.041.280.1618.987

*P value of receiver operating characteristic (ROC) test between each marker and benchmark LAP index, respectively.

AUC, area under the ROC curve; HDL-C, high-density lipoprotein cholesterol; IMT, intima-media thickness; LAP, lipid accumulation product; NA, not applicable; TyG, triglycerides × fasting glucose; VAI, visceral adiposity index.

Discriminatory accuracy and cut-off values for triglyceride/HDL-C ratio, LAP, VAI, and TyG index in identifying individuals with subclinical vascular damage *P value of receiver operating characteristic (ROC) test between each marker and benchmark LAP index, respectively. AUC, area under the ROC curve; HDL-C, high-density lipoprotein cholesterol; IMT, intima-media thickness; LAP, lipid accumulation product; NA, not applicable; TyG, triglycerides × fasting glucose; VAI, visceral adiposity index.

Discussion

Compelling evidence suggests that insulin resistance, defined as decreased sensitivity of target organs to the metabolic actions of insulin, is a pathophysiological feature of the metabolic syndrome, and pre-diabetes, and heralds both type 2 diabetes and cardiovascular disease.1–11 The gold standard method for assessing insulin sensitivity is the euglycemic hyperinsulinemic clamp technique.12 Nonetheless, the glucose clamp method is technically demanding, invasive, costly, and time consuming, thus impeding its application in large epidemiological studies. Therefore, surrogate indexes based on inexpensive anthropometric and/or laboratory parameters collected in routine clinical practice have been developed to quantify insulin sensitivity.13–28 Given the extensive use of surrogate indexes of insulin sensitivity in epidemiological studies, it is important to compare their relationships with insulin sensitivity assessed by the euglycemic hyperinsulinemic clamp, and establish which surrogate index is the most predictive of insulin resistance. To address this issue, we compare four surrogate indexes based on anthropometric and/or laboratory parameters, that is, TG/HDL-C ratio, VAI, LAP and TyG index, with insulin sensitivity directly measured by the euglycemic hyperinsulinemic clamp method in 631 individuals having different degrees of glucose tolerance. We found that worsening of glycemic homeostasis from NGT status to type 2 diabetes was associated with a graded increase in the values of the four surrogate indexes of insulin resistance. However, LAP index was a better correlate of insulin sensitivity than VAI, TyG, and TG/HDL-C ratio indexes, and was the only index showing significant association with the insulin sensitivity in individuals with IGT or type 2 diabetes. Accordingly, based on the ROC analysis, LAP was the best index in discriminating individuals with insulin resistance because it was the only measure with an AUC value higher than the reference threshold of 0.7, suggesting that LAP index offers more clinical information than that achieved by using VAI, TyG, and TG/HDL-C ratio indexes. To the best of our knowledge, this is the first systematic study that simultaneously compared VAI, LAP, TyG, and TG/HDL-C ratio indexes with the euglycemic hyperinsulinemic clamp method in a large data set to determine which index is most reliable. Indeed, previous studies have examined the relationship between these four indexes and insulin resistance18–28; however, these studies differ from the present analysis for some important aspects. First, in most studies,18–25 insulin resistance was assessed by the HOMA-IR index, which is another surrogate index of insulin resistance derived from fasting glucose and insulin levels, and is thought to primarily reflect hepatic insulin resistance. By contrast, the euglycemic hyperinsulinemic clamp method was performed under steady-state insulin levels capable to suppress hepatic glucose production allowing direct assessment of glucose disposal predominantly into skeletal muscle. Second, a few studies have addressed the relative values of multiple insulin sensitivity indexes in the same study group.18–28 Additionally, in the three studies that have compared the TyG, and TG/HDL-C ratio indexes with direct measure of insulin sensitivity by the euglycemic hyperinsulinemic clamp method,26 the SSPG concentration during the insulin suppression test27 or a 3-hour hyperglycemic clamp test,28 the authors analyzed the relationships between the surrogate indexes with insulin sensitivity directly assessed in the whole group including indistinctly individuals with NGT, IFG and type 2 diabetes, thus lacking to determine whether the surrogate indexes are equally good correlates in individuals with different conditions of glucose tolerance. This difference is clinically meaningful since we have observed that among the examined indexes, only LAP index exhibited a significant association with insulin sensitivity in individuals with IGT or type 2 diabetes. All the four indexes are highly significantly associated with cardiovascular risk factors, and subclinical vascular damage measured as IMT. The strength by which the four surrogate indexes correlate with cardiovascular risk factors was similar. Moreover, based on the ROC analysis, LAP, VAI, TyG, and TG/HDL-C ratio indexes are equally fair discriminators of vascular atherosclerosis defined as IMT>0.9 mm because all of them pass the reference threshold of 0.7. By contrast, the ROC analysis indicates that the four indexes are poor discriminators of increased vascular stiffness defined as pulse pressure >60 mm Hg as none of them showed an AUC value higher than 0.7 (table 5). The present study has some strengths. The main strength is that surrogate indexes were evaluated versus the euglycemic hyperinsulinemic clamp gold standard test in a large sample of subjects of both genders with various degrees of glucose tolerance. All tests including anthropometric measures, OGTT, and euglycemic hyperinsulinemic clamp studies were collected at the same time by a trained staff after a standardized training. Nonetheless, the current study has some limitations that should be considered. First, glucose tolerance by OGTT was only measured once. According to the ADA recommendations,35 one positive test is not sufficient to establish the degree of glucose tolerance, which should be defined on the basis of at least two separate measurements, and therefore, some participants might have been misclassified. Second, endogenous glucose production during clamp studies has not been directly assessed by tracer methods, therefore we cannot firmly exclude that a residual hepatic glucose production occurs in some participants. Furthermore, the study was carried on a European population, and needs to be replicated in other ethnic groups before its widespread applicability. Additionally, the cross-sectional design of the study lacking prospective data impedes any assumption about cause and temporal relationships. Additionally, arterial stiffness was not directly assessed by measuring pulse wave velocity, but pulse pressure was used as proxy of arterial stiffness. And finally, residual confounding by unmeasured factors cannot be excluded. In conclusion, the findings of the present study suggest that LAP index is a more reliable discriminator of insulin resistance in clinical settings as compared with VAI, TyG, and TG/HDL-C ratio indexes. The better ability of LAP index to identify individuals with insulin resistance compared with the other surrogate measures may, of clinical relevance, be due to the fact that it is based on inexpensive measurements of waist circumference and TGs easily available in clinical practice, which are also accessible in high-risk groups of undeveloped countries for estimating insulin resistance.
  36 in total

1.  Comparison of two methods using plasma triglyceride concentration as a surrogate estimate of insulin action in nondiabetic subjects: triglycerides × glucose versus triglyceride/high-density lipoprotein cholesterol.

Authors:  Fahim Abbasi; Gerald M Reaven
Journal:  Metabolism       Date:  2011-05-31       Impact factor: 8.694

2.  Correspondence between the International Diabetes Federation criteria for metabolic syndrome and insulin resistance in a cohort of Italian nondiabetic Caucasians: the GISIR database.

Authors:  Giorgio Sesti; Brunella Capaldo; Paolo Cavallo Perin; Stefano Del Prato; Lucia Frittitta; Simona Frontoni; Marta Letizia Hribal; Giulio Marchesini; Giuseppe Paolisso; Pier Marco Piatti; Anna Solini; Enzo Bonora
Journal:  Diabetes Care       Date:  2007-05       Impact factor: 19.112

3.  Slow glucose removal rate and hyperinsulinemia precede the development of type II diabetes in the offspring of diabetic parents.

Authors:  J H Warram; B C Martin; A S Krolewski; J S Soeldner; C R Kahn
Journal:  Ann Intern Med       Date:  1990-12-15       Impact factor: 25.391

4.  Lipid accumulation product is a powerful index for recognizing insulin resistance in non-diabetic individuals.

Authors:  C Xia; R Li; S Zhang; L Gong; W Ren; Z Wang; Q Li
Journal:  Eur J Clin Nutr       Date:  2012-07-11       Impact factor: 4.016

5.  Visceral Adiposity Index: a reliable indicator of visceral fat function associated with cardiometabolic risk.

Authors:  Marco C Amato; Carla Giordano; Massimo Galia; Angela Criscimanna; Salvatore Vitabile; Massimo Midiri; Aldo Galluzzo
Journal:  Diabetes Care       Date:  2010-01-12       Impact factor: 17.152

6.  Insulin sensitivity and atherosclerosis. The Insulin Resistance Atherosclerosis Study (IRAS) Investigators.

Authors:  G Howard; D H O'Leary; D Zaccaro; S Haffner; M Rewers; R Hamman; J V Selby; M F Saad; P Savage; R Bergman
Journal:  Circulation       Date:  1996-05-15       Impact factor: 29.690

7.  Elevated one-hour post-load plasma glucose levels identifies subjects with normal glucose tolerance but early carotid atherosclerosis.

Authors:  E Succurro; M A Marini; F Arturi; A Grembiale; M Lugarà; F Andreozzi; A Sciacqua; R Lauro; M L Hribal; F Perticone; G Sesti
Journal:  Atherosclerosis       Date:  2009-04-11       Impact factor: 5.162

8.  Cardiometabolic risk profiles and carotid atherosclerosis in individuals with prediabetes identified by fasting glucose, postchallenge glucose, and hemoglobin A1c criteria.

Authors:  Maria A Marini; Elena Succurro; Ersilia Castaldo; Sabrina Cufone; Franco Arturi; Angela Sciacqua; Renato Lauro; Marta L Hribal; Francesco Perticone; Giorgio Sesti
Journal:  Diabetes Care       Date:  2012-03-07       Impact factor: 19.112

9.  Clinical usefulness of lipid ratios, visceral adiposity indicators, and the triglycerides and glucose index as risk markers of insulin resistance.

Authors:  Tingting Du; Gang Yuan; Muxun Zhang; Xinrong Zhou; Xingxing Sun; Xuefeng Yu
Journal:  Cardiovasc Diabetol       Date:  2014-10-20       Impact factor: 9.951

10.  Serum IgG2 levels are specifically associated with whole-body insulin-mediated glucose disposal in non-diabetic offspring of type 2 diabetic individuals: a cross-sectional study.

Authors:  Teresa Vanessa Fiorentino; Elena Succurro; Franco Arturi; Aida Giancotti; Cinzia Peronace; Angela Quirino; Franz Sesti; Francesco Andreozzi; Marta Letizia Hribal; Francesco Perticone; Alfredo Focà; Giorgio Sesti
Journal:  Sci Rep       Date:  2018-09-11       Impact factor: 4.379

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  23 in total

1.  Discordance between the triglyceride glucose index and fasting plasma glucose or HbA1C in patients with acute coronary syndrome undergoing percutaneous coronary intervention predicts cardiovascular events: a cohort study from China.

Authors:  Chengping Hu; Jianwei Zhang; Jinxing Liu; Yan Liu; Ang Gao; Yong Zhu; Yingxin Zhao
Journal:  Cardiovasc Diabetol       Date:  2020-07-23       Impact factor: 9.951

2.  Lipid accumulation product (LAP) was independently associatedwith obstructive sleep apnea in patients with type 2 diabetes mellitus.

Authors:  Lianqin Dong; Mingzhu Lin; Wengui Wang; Danyan Ma; Yun Chen; Weijuan Su; Zheng Chen; Shunhua Wang; Xuejun Li; Zhibin Li; Changqin Liu
Journal:  BMC Endocr Disord       Date:  2020-12-09       Impact factor: 2.763

3.  Positive association between triglyceride glucose index and arterial stiffness in hypertensive patients: the China H-type Hypertension Registry Study.

Authors:  Minghui Li; Aihua Zhan; Xiao Huang; Lihua Hu; Wei Zhou; Tao Wang; Lingjuan Zhu; Huihui Bao; Xiaoshu Cheng
Journal:  Cardiovasc Diabetol       Date:  2020-09-18       Impact factor: 9.951

4.  Visceral Adiposity Index in Breast Cancer Survivors: A Case-Control Study.

Authors:  Elías Cardoso-Peña; Alexandra E Soto Pina; Ángel Gómez Villanueva; Gerardo Emilio López Chavez; Pablo Ramírez Martínez; Humberto Ramírez Montoya; María Guadalupe Berumen Lechuga; Alejandra Donají Benitez Arciniega; María de Lourdes Alarcón Fortepiani; Roxana Valdés Ramos; José de Jesús Garduño García
Journal:  Int J Endocrinol       Date:  2020-12-09       Impact factor: 3.257

5.  Low 25-hydroxyvitamin D is associated with arterial stiffness in Chinese with Type 2 diabetes mellitus.

Authors:  Bingwei Ma; Yao Chen; Chunjun Sheng; Peng Yang; Xingchun Wang; Shen Qu
Journal:  Eur J Clin Nutr       Date:  2021-03-31       Impact factor: 4.016

6.  Prospective Association of Novel Metabolic Indices with Metabolic Syndrome in Middle-Aged and Elderly Chinese.

Authors:  Jiao-Yang Li; Jing Yang; Xiao-Yan Qi; Yan-Hua Luo; Ya-Di Wang; Zhe-Zhen Liao; Li Ran; Xin-Hua Xiao; Jiang-Hua Liu
Journal:  Diabetes Metab Syndr Obes       Date:  2021-05-28       Impact factor: 3.168

7.  Lipid Accumulation Product Is More Related to Insulin Resistance than the Visceral Adiposity Index in the Maracaibo City Population, Venezuela.

Authors:  Valmore Bermúdez; Juan Salazar; Jorge Fuenmayor; Manuel Nava; Ángel Ortega; Pablo Duran; Milagros Rojas; Roberto Añez; Alejandra Rivas-Montenegro; Lissé Angarita; Maricarmen Chacín; Clímaco Cano; Manuel Velasco; Joselyn Rojas
Journal:  J Obes       Date:  2021-06-07

8.  Triglyceride-glucose index is associated with in-stent restenosis in patients with acute coronary syndrome after percutaneous coronary intervention with drug-eluting stents.

Authors:  Yong Zhu; Kesen Liu; Maolin Chen; Yan Liu; Ang Gao; Chengping Hu; Hong Li; Huagang Zhu; Hongya Han; Jianwei Zhang; Yingxin Zhao
Journal:  Cardiovasc Diabetol       Date:  2021-07-08       Impact factor: 9.951

9.  Triglyceride glucose index combined with plaque characteristics as a novel biomarker for cardiovascular outcomes after percutaneous coronary intervention in ST-elevated myocardial infarction patients: an intravascular optical coherence tomography study.

Authors:  Xiaoxiao Zhao; Ying Wang; Runzhen Chen; Jiannan Li; Jinying Zhou; Chen Liu; Peng Zhou; Zhaoxue Sheng; Yi Chen; Li Song; Hanjun Zhao; Hongbing Yan
Journal:  Cardiovasc Diabetol       Date:  2021-06-28       Impact factor: 9.951

10.  Association of TyG index and TG/HDL-C ratio with arterial stiffness progression in a non-normotensive population.

Authors:  Zhiyuan Wu; Di Zhou; Yue Liu; Zhiwei Li; Jinqi Wang; Ze Han; Xinlei Miao; Xiangtong Liu; Xia Li; Wei Wang; Xiuhua Guo; Lixin Tao
Journal:  Cardiovasc Diabetol       Date:  2021-07-06       Impact factor: 9.951

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