TyG Index Research Articles

Abstract 4138739: Insulin Resistance as a Marker of Multivessel Coronary Artery Diseases in Patients With Cardiovascular-Kidney-Metabolic Risk: Inshight From Invasive Coronary Angiography

Background: Cardiovascular-Kidney-Metabolic (CKM) syndrome is the concept of a combined diseases, including diabetes and chronic kidney disease (CKD), to stratify patients at cardiovascular risks. However, whether CKM components and insulin resistance differ in risk for coronary artery disease (CAD) severity is unknown. Purpose: This study aimed to investigate the association of distinct CKM risks and insulin resistance with CAD severity. Methods: In this study, we included 849 patients (74% male, 69±10 years of age) who underwent coronary angiography to assess chronic CAD. We assessed CKM risks using following components: (1) BMI ≥23 kg/m 2 , (2) diabetes, (3) hypertension and dyslipidemia, and (4) CKD. According to the number of CKM risk components, patients were categorized into four groups (Group A as having 0 or 1, Group B as 2, Group C as 3, and Group 4 as 4 risks). Insulin resistance was assessed by HOMA-IR and triglyceride-glucose index (TyG index) calculated as Ln (fasting plasma glucose × triglyceride/2). Coronary artery stenosis was categorized into single-vessel or multi-vessel CAD (MVD) per AHA classification. Gensini score was calculated to assess CAD extent. Logistic regression analysis was performed to determine independent predictors of MVD among CKM risk components. Results: MVD was diagnosed in 26.3% (n = 223) patients (mean Gensini score was 58±40 points). Among the four groups, there were significant differences in age, body mass index, hemoglobin A1c levels, TyG index, HOMA-IR, and Gensini score. Compared with Group A as reference, Group C (odds ratio [OR], 1.58; 95% confidence interval [CI] 1.03–2.42) or Group D (OR, 1.75; 95%CI, 1.06–2.89) but not Group B (OR, 1.09; 95%CI, 0.70–1.71) had higher risk for MVD (Figure). In a logistic regression model adjusting for age, male, smoker, and CRP ≥2 mg/dL, independent predictor of MVD was diabetes (OR, 2.15; 95%CI,1.55–2.99; p < 0.001; model 1 in Table). In addition, when adjusting for age, male, smoker, and CRP ≥2 mg/dL, HOMA-IR>2.5 was an independent predictor of MVD (model 2 in Table). Similarly, TyG index, an alternative marker of insulin resistance, remained as an independent predictor of MVD (model 3 in Table). Conclusions: In chronic CAD patients who underwent coronary angiography, subgroups stratified by the CKM risk components exhibit distinctly different insulin resistance, CAD severity and risk for MVD. Insulin resistance and diabetes were independent risks for MVD in this population.

Improvements in Insulin Resistance and Glucose Metabolism Related to Breastfeeding Are Not Mediated by Subclinical Inflammation

Background: Lactation is known to improve insulin resistance, but this phenomenon remains poorly understood. Our goal was to evaluate whether subclinical inflammation could mediate the association between breastfeeding (BF) and improvement in glucose metabolism and markers of insulin resistance (MIRs) in the postpartum. Methods: A total of 95 adult women (≥18 years) with a BMI ≥ 25 kg/m2 from the outpatient clinic of the Federal University of São Paulo were followed from early pregnancy until 60 to 180 days postpartum. The patients were divided based on their BF status: BF and non-BF groups. A latent variable termed SubInf was created incorporating inflammation-related biomarkers: adiponectin, E-selectin, branched-chain amino acids, zonulin, copeptin, and lipopolysaccharides. The association of BR with MIRs in the postpartum was evaluated through linear regression analysis, and mediation analysis was performed to evaluate the role of SubInf in this association. Results: The groups were similar regarding gestational diabetes mellitus (GDM) prevalence, pre-gestational BMI, caloric intake, physical activity, and postpartum weight loss. The BF group presented lower levels of triglycerides (TGs), fasting glucose, fasting insulin, TG/HDLcholesterol ratio (TG/HDL), TyG index, and HOMA-IR compared to the non-BF group. A linear regression analysis adjusted for scholarity, parity, pre-gestational BMI, GDM, weight gain during pregnancy, and mode of delivery revealed an inverse association between BF and fasting glucose [−6.30 (−10.71 to −1.89), p = 0.005), HOMA-IR [−0.28 (−0.50 to −0.05), p = 0.017], TyG index [−0.04 (−0.06 to −0.01), p = 0.002], and TG/HDL ratio [−0.23 (−0.46 to −0.01), p = 0.001]. In the mediation analysis, SubInf did not mediate the indirect effect of BF on MIRs. Conclusions: In overweight and obese women, an association between BF and improvement in MIRs in the postpartum was seen, corroborating that BF should be stimulated, especially in these cardiometabolic high-risk women. Subclinical inflammation did not seem to mediate this association.

The association of the triglyceride-glucose index with Alzheimer's disease and its potential mechanisms.

The correlation between Alzheimer's disease (AD) and the glucose-triglyceride (TyG) index remains undetermined. This study aimed to investigate the relationship between the TyG index and AD, as well as the relationship between the TyG index and cerebrospinal fluid (CSF) AD biomarkers and cognition. Six hundred twenty-eight non-dementia participants were included. The TyG index, pathological markers, and cognitive measures were studied using multiple linear regression. Also calculated using a multivariate Cox regression model were the hazard ratio (HR) and its 95% confidence interval (CI). Ten thousand bootstrap iterative causal mediation analyses were performed to investigate the potential mediating effect of AD pathology on cognition. The TyG index was linked to CSF AD biomarkers (βAβ42 = 0.880; βTau = -0.674; βpTau = -0.884; βAβ42/pTau = 1.764; βAβ42/Tau = 1.554; βpTau/Tau = -0.210) and cognitive measurements (βMEM = 0.570; βEF = 0.535; βADAS11 = -0.789). Mediation analysis revealed that the TyG index may influence cognition via CSF AD biomarkers, including Aβ42, tau, and pTau. Furthermore, each 1-unit increase in TyG index was associated with a 29.5% reduction in the risk of incident AD. A delayed rate of cognitive decline and a reduced risk of AD were found to be correlated with higher levels of the TyG index, but this does not mean increasing TyG index levels is beneficial for health. Through AD pathology, the TyG index may influence AD and cognitive changes.

Individuation of a cut-off value of triglyceride-glucose index for incident diabetes mellitus in patients with essential hypertension.

The prevalence of obesity and diabetes, risk factors for atherosclerotic vascular diseases, is increasing worldwide; therefore, it is desirable to early identify them to reduce cardiovascular events. Thus, we investigated whether the triglyceride-glucose index (TyG index), a new marker of insulin resistance, is associated with incident diabetes in patients with newly diagnosed arterial hypertension. We selected 585 patients with newly diagnosed arterial hypertension referred to our tertiary Clinic of Catanzaro University Hospital for the evaluation of their cardiometabolic risk profile. None of the patients had diabetes mellitus at enrollment and took any drug known to affect glucose metabolism. Patients underwent medical history collection, clinical examination and laboratory tests. The TyG index was calculated as the ln [fasting TG (mg/dl) × FPG (mg/dl)/2], as previously suggested. During the follow-up [mean 8.5years (range 3.1-10.7)], there were 78 new cases of incident diabetes (1.57% patient-year). Patients who developed diabetes mellitus were older and had a higher body mass index (BMI), baseline blood pressure, fasting glucose, insulin, homeostatis model sssessment (HOMA) index, triglyceride, creatinine and hs-CRP mean values, while estimated glomerular filtration rate values were lower. At the Cox regression analysis, covariates significantly associated with incident diabetes were: BMI (HR = 2.842, 95%CI = 2.299-3.514), TyG index (HR = 2.392, 95%CI = 1.745-3.192), age (HR = 1.944, 95%CI = 1.527-2.474), hs-CRP (HR = 1.409, 95%CI = 1.153-1.722), and HOMA (HR = 1.325, 95%CI = 1,079-1.756). The best estimated cut-off value of TyG index in predicting diabetes was 4.71. In addition, we documented a significant relationship between TyG index and HOMA (r = 0.575; p < 0.0001). Present data demonstrate that TyG index, a simple and cost-effective marker of insulin resistance, is useful in predicting incident diabetes in patients with arterial hypertension.

Insulin Resistance-Nutritional Index: A Simple Index and Potential Predictor of Mortality Risk in Patients with Chronic Heart Failure and Type 2 Diabetes.

Patients with chronic heart failure (CHF) and type 2 diabetes mellitus (DM) are prone to insulin resistance and malnutrition, both of which are significant prognostic factors for CHF. However, the combined effect of the triglyceride-glucose index (TyG index) and prognostic nutritional index (PNI) on the mortality risk in patients with CHF and type 2 DM has not yet been studied. We enrolled 3,315 patients with CHF and type 2 DM. We used a multivariate Cox regression model to assess hazard ratios (HRs) with 95% confidence intervals (CIs) for mortality risk based on TyG index and PNI levels. Furthermore, we constructed a novel index, the insulin resistance-nutritional index (IRNI), defined as TyG index/Ln (PNI), and evaluated its prognostic significance. During follow-up, 1,214 deaths occurred. Participants with a high TyG index and non-high PNI had a significantly higher mortality risk compared to those with a non-high TyG index and high PNI, with an adjusted HR of 1.91 (95% CI, 1.57-2.32). The multivariate Cox regression analysis revealed HRs for all-cause and cardiovascular deaths of 1.93 (95% CI, 1.66-2.26; P < 0.001) and 2.50 (95% CI, 2.05-3.06; P < 0.001), respectively, when comparing the highest and lowest IRNI tertiles. IRNI's predictive power was stronger in groups with higher adapted Diabetes Complications Severity Index scores (P for interaction < 0.05). Additionally, adding IRNI to the baseline risk model significantly improved predictive performance, showing a greater effect compared to the TyG index or PNI. IRNI, a novel and composite index reflecting insulin resistance and nutritional status, emerges as a potentially valuable prognostic marker for patients with CHF and type 2 DM.

Relationship between per-fluoroalkyl and polyfluoroalkyl substance exposure and insulin resistance in nondiabetic adults: Evidence from NHANES 2003–2018

BackgroundStudies have linked per- and polyfluoroalkyl substances (PFAS) to chronic metabolic diseases. However, the relationship between PFAS exposure and insulin resistance (IR), a key pathophysiological basis of these metabolic diseases, in nondiabetic individuals have yet to be determined. MethodsThis study analyzed data from 3909 participants (aged ≥20) from the NHANES 2003–2018 to investigate the associations between serum levels of seven PFAS and and IR indicators, including including HOMA-IR, HOMA-β, fasting insulin, QUICKI, and TyG index. Linear and logistic regression models were used, along with a restricted cubic spline to assess dose-response. Weighted quantile sum (WQS) regression and quantile g-computation (qgcomp) models were used to assess the association between mixed PFAS exposure and IR. ResultsLinear regression revealed that elevated exposure to PFOS [β (95 % CI): 0.04 (0.02, 0.06)], PFOA [0.04 (0.01, 0.06)], and Me_PFOSA_AcOH [0.04 (0.02, 0.06)] was associated with a higher TyG index in adults. Notably, Me_PFOSA_AcOH was negatively associated with IR when assessed by HOMA-IR >2.6 [OR (95 % CI): 0.88 (0.79, 0.98)], although this was not supported by linear regression findings. When IR was defined by a TyG index >8.6, exposure to the highest quartiles of PFOS, PFOA, and Me_PFOSA_AcOH was associated with an increased risk of IR by 63 %, 42 %, and 85 %, respectively [1.63 (1.21, 2.20); 1.42 (1.06, 1.92); 1.85 (1.37, 2.50)]. PFOS, PFOA, and Me_PFOSA_AcOH demonstrated a nonlinear dose-response relationship with IR risk. The WQS and qgcomp models revealed significant positive correlations with the TyG index. ConclusionMixed PFAS exposure in US nondiabetic adults was positively associated with IR, as indicated by the TyG index, particularly for PFOS, PFOA, and Me_PFOSA_AcOH. Further research is needed to establish causality, and reinforcing environmental risk mitigation strategies to reduce PFAS exposure is recommended.

Environmental Heavy Metal Exposure and Associated Cardiovascular Diseases in Light of the Triglyceride Glucose Index.

Cardiovascular diseases (CVD), primarily ischemic heart disease and stroke, remain leading global health burdens. Environmental risk factors have a major role in the development of CVD, particularly exposure to heavy metals. The Triglyceride Glucose Index (TyG), a measure of insulin resistance and CVD risk, is the primary focus of this study, which summarizes the most recent findings on the effects of lead (Pb), arsenic (As), and cadmium (Cd) on CVD risk. A higher risk of CVD is correlated with an elevated TyG index, which has been linked to insulin resistance. Exposure to Cd is associated with disturbance of lipid metabolism and oxidative stress, which increases the risk of CVD and TyG. Exposure reduces insulin secretion and signaling, which raises the TyG index and causes dyslipidemia. Pb exposure increases the risk of CVD and TyG index via causing oxidative stress and pancreatic β-cell destruction. These results highlight the need of reducing heavy metal exposure by lifestyle and environmental modifications in order to lower the risk of CVD. To comprehend the mechanisms and create practical management plans for health hazards associated with heavy metals, more study is required.

Associations of four surrogate insulin resistance indexes with non-alcoholic steatohepatitis in Chinese patients with obesity: a cross-sectional study.

This study was designed to evaluate the association of four surrogate indexes of IR with NASH in patients with obesity. A total of 270 patients who underwent bariatric surgery, were included in this cross-sectional study. NASH was diagnosed based on liver biopsies. Binary logistics regression analyses were performed to assess the associations of four surrogate indexes of IR (HOMA-IR, Matsuda index, TyG, and TG/HDL-C) with NASH in patients with obesity. The restricted cubic spline was used to assess the dose-response associations of surrogate indexes of IR with NASH after adjusting for confounding factors. NASH was diagnosed in 136 patients, with a prevalence of 50.37%. Compared with tertile 1, the fully adjusted ORs (95% CIs) of NASH for tertile 3 were 2.711(1.113-6.608) and 0.297 (0.152-0.579) for TyG and Matsuda index. Consistently, per SD increment of TyG were still significantly associated with 64% increased risks of NASH, and per SD increment of Matsuda index were still significantly associated with 38% decreased risks of NASH. In contrast, no significant associations were found between HOMA-IR and TG/HDL-C and the risk of NASH in patients with obesity (all P > 0.05). After adjusting covariates in restricted cubic splines, the risk of NASH decreased with the increment of Matsuda Index levels (P-nonlinear = 0.442, P-overall = 0.007) and with the decrement of TyG levels (P-nonlinear = 0.004, P-overall = 0.001). In patients with obesity, TyG and Matsuda index were independently related to the risk of NASH after adjustment for traditional risk factors. In addition, compared with HOMA-IR and TG/HDL-C, the Matsuda index and TyG may be more suitable for NASH prediction in patients with obesity.

Association Between TyG Index, Liver Steatosis and Immunosenescence in People Living with HIV

Association Between TyG Index, Liver Steatosis and Immunosenescence in People Living with HIV

Vector of glycated hemoglobin in the formation of dysglycemia in postmenopause: Emphasis on early diagnosis and therapy

Introduction. The close relationship of postmenopause with insulin resistance (IR) and metabolic syndrome (MetS) marks a high cardiometabolic risk of dysglycemia, determining the need for its early diagnosis and therapy. Pathogenetically substantiated criteria for the diagnosis of prediabetes and the nature of early drug therapy for type 2 diabetes mellitus (T2DM) are debated. Information on the relationship between glucose homeostasis parameters and menopausal MetS is fragmentary.Aim. To evaluate the associations of glycated hemoglobin (HbA1c) levels with indices of IR, β-cell function and MetS character- istics in a cohort of postmenopausal women with different carbohydrate metabolic states.Materials and methods. In 94 Caucasian postmenopausal women 58.0 (53.0; 63.0) years old the following were determined: HbA1c, fasting glycemia (FG), TyG and HOMA2 indices, C-peptid, BMI, waist circumference (WC), blood pressure (BP), triglycerides (TG), HDL-C levels. When classifying women by HbA1c (ADA criteria), 15 had normoglycemia, 24 prediabetes, 55 T2DM. ME (25–75%) was assessed using SPSS (version 17); intergroup differences according to the Mann – Whitney test; Spearman and partial correlation analysis were performed.Results. HbA1c age independently correlated with IR parameters: TyG (R = 0.590; p &lt; 0.001), HOMA2-IR (R = 0.318; p &lt; 0.05) and beta cell function: HOMA2-B (R = -0.355; p &lt; 0.001); with lipid markers of MetS (TG, HDL-C, respectively R = 0.382; -0.448; p &lt; 0.001), anthropometric and blood pressure levels.Conclusion. Associations of HbA1c in postmenopausal women with a spectrum of glucose homeostasis parameters and MetS mark it as a vector of formation and progression of dysglycemia due to a close connection with the functional state of β-cells and the importance of lipoglucotoxicity in the dynamics of postmenopausal IR. The obtained data pathogenetically determine the use of HbA1c in the verification of dysglycemia and the early administration of combined antihyperglycemic therapy aimed at preserving β-cell function. The potential of dipeptidyl peptidase-4 inhibitors in slowing the progression of type 2 diabetes mellitus is considered

Andrographis paniculata improves glucose regulation by enhancing insulin sensitivity and upregulating GLUT 4 expression in Wistar rats.

Although the hypoglycaemic effect of Andrographis paniculata (Burm.f.) Nees [Acanthaceae] has been documented, reports on its effect in an apparently healthy state are limited. This study investigated whether or not A. paniculata exerts hypoglycaemic effect in a non-diabetic state. It also explored the impact of A. paniculata on glycolytic enzymes and GLUT 4 protein expression, as a possible mode of action. Twenty male Wistar rats were randomly assigned into two groups (n = 10 rats/group). The control rats were vehicle-treated (0.5 ml of distilled water), while the A. paniculata-treated rats had 500 mg/kg of A. paniculata per os once daily for 35 days. A. paniculata treatment led to improved insulin sensitivity evidenced by increased HOMA-β (88.08 ± 2.13 vs. 120.80 ± 1.52, p < 0.0001), HOMA-S (283.60 ± 8.82 vs. 300.50 ± 9.30, p = 0.0189), and reduced TyG index (4.22 ± 0.04 vs. 3.95 ± 0.07, p < 0.0002) and HOMA-IR (0.32 ± 0.01 vs. 0.25 ± 0.01, p < 0.0001) when compared with the control. It also improved glucose regulation as depicted by reduced fasting blood glucose (3.77 ± 0.10 vs. 3.24 ± 0.11, p < 0.0001) and glycated hemoglobin (HbA1c; 7.69 ± 1.15 vs. 5.95 ± 0.82, p = 0.0245), and atherogenic dyslipidaemia, including AIP (-0.12 ± 0.03 vs. -0.26 ± 0.03, p < 0.0001) and CRI-I (2.70 ± 0.29 vs. 1.84 ± 0.27, p < 0.0001). These findings were accompanied by enhanced hepatic and muscular redox state, increased activities of glycolytic enzymes, upregulated GLUT 4 (0.80 ± 0.27 vs. 6.20 ± 0.84, p < 0.0001), and increased circulating nitric oxide (5.45 ± 0.24 vs. 6.79 ± 0.33, p = 0.0002). A. paniculata exerts positive effect on glucose metabolism and utilization by improving insulin sensitivity and upregulating the activities of glycolytic enzymes and GLUT 4 protein expression. This implies that A. paniculata may be beneficial in preventing insulin resistance and incident diabetes. Nonetheless, it should be used with caution to prevent hypoglycaemia in a non-diabetic state.

Prognostic impact of composite lipid indices in patients with acute coronary syndrome undergoing percutaneous coronary intervention

Abstract Background Composite lipid indices have been reported to have associations with several cardiovascular diseases and their negative adverse events. Among these, there are four novel indices that can be easily calculated, namely, triglyceride-glucose index (TyG, calculated from fasting plasma glucose [FPG] and triglyceride [TG]), lipid accumulation product (LAP, calculated from waist circumference [WC] and TG), visceral adiposity index (VAI, calculated from WC, TG, body mass index [BMI], and high-density lipoprotein [HDL]), and atherogenic index of plasma (AIP, calculated from TG and HDL). Herein, we aimed to investigate the impact of these indices on the incidence of major adverse cardiovascular and cerebrovascular events (MACCE) in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI). Methods All the patients with ACS who underwent PCI at our institution during the 2015-2022 period were included in the analyses. Patients were divided based on each of the TyG, VAI, LAP, and AIP indices quartiles (Q). The median follow-up was 378 days and the outcome assessed was MACCE composed of all-cause mortality, myocardial infarction, stroke, target vessel revascularization, target lesion revascularization, and coronary artery bypass grafting surgery. Results There was a total of 13,682 patients with ACS undergoing PCI with a mean age of 62.67 ± 11 years and 72.61% male predominance. Regarding the TyG index, patients in Q4 had a higher incidence of MACCE, compared to those in Q1 (adjusted HR [aHR] 1.271, 95% CI 1.067 – 1.513], p-value &amp;lt; 0.01). While in the crude model, patients in Q2, Q3, and Q4 of LAP had significantly higher rates of MACCE, compared to Q1, this association was not observed in the age- and sex-adjusted model and fully-adjusted model. Similarly, there was no difference among the quartiles of VAI and AIP regarding the incidence of MACCE. Kaplan-Meier curves also show that there were significant differences among TyG and LAP quartiles (p-value = 0.0049 and p-value = 0.035, respectively). Conclusion As our findings suggest, patients with higher TyG levels, as a surrogate marker of insulin resistance, had a higher incidence of MACCE. LAP could also play an important role in the incidence of adverse events after PCI. These novel lipid indices could help clinicians in determining the risks of patients with ACS undergoing PCI in order to provide better care to them.Risk of MACCE in different quartilesKaplan Meier Curves for risk of MACCE

Measures of insulin resistance and aortic valve calcification in the general population

Abstract Background Insulin resistance (IR) is a key component in several cardiovascular risk factors. The triglyceride-glucose index (TyG index), triglyceride to high density lipoprotein-cholesterol ratio (TG/HDL-C) and visceral adiposity index (VAI) are easily accessible surrogate measures of IR and have been associated with coronary artery calcification and other cardiovascular diseases. Less is known about IR and aortic valve calcification (AVC). Purpose To investigate the association between different measures of IR (TyG index, TG/HDL-C, VAI) and AVC. Method The Swedish Cardiopulmonary Bioimage Study (SCAPIS) recruited 30 154 randomly selected individuals aged 50 to 64 years from the general population in Sweden between 2013 to 2018. AVC was assessed visually on cardiac computed tomography and categorized as present or absent. TyG index was calculated based on triglyceride and glucose levels, TG/HDL-C ratio using triglyceride and HDL-C levels and VAI using waist circumference, triglyceride and HDL-C levels. The association between IR indexes (as continuous variables by 1 unit increment and categorical variables by quartiles) and AVC was assessed using multivariable logistic regression models. Results In total, measures of IR were available in 29 268 participants of whom 2118 (7%) had AVC. Mean IR index levels were higher in participants with compared to without AVC (TyG index: 8.65 vs. 8.49; p&amp;lt;0.01; TG/HDL-C: 1.11 vs. 0.91; p&amp;lt;0.01 and VAI: 1.73 vs. 1.48; p&amp;lt;0.01). All three indices of IR were associated with AVC in continuous analyses. Subsequently, in multivariable logistic regressions adjusted for age, sex, study site and smoking, there was a stepwise increase in the risk of AVC with increasing quartiles of TyG index, TG/HDL-C and VAI (Figure 1). Conclusion Three different surrogate measures of IR (TyG index, TG/HDL-C and VAI) were all associated with AVC in a middle-aged general population suggesting that they could all be used as risk markers in clinical practice.

Triglyceride-glucose index predicts the prognosis of patients with ischemic cardiomyopathy

Abstract Objective A large number of studies have provided strong statistical evidence that the Triglyceride-glucose (TYG) index is associated with the development and prognosis of cardiovascular disease. However, little is known about the predictive value of TYG index for ischemic cardiomyopathy (ICM). This study aimed to investigate the predictive value of TYG index in patients with ICM. Methods Hospitalized patients ICM in our Hospital from April 2014 to December 2017 were included in this study. Inclusion criteria: previous definite diagnosis of coronary atherosclerotic heart disease (coronary angiography found one or more vessels stenosis &amp;gt; 50%) and echocardiography showed LVEF &amp;lt; 45 percent. In addition, the TYG index was calculated as follows :LN[fasting triglycerides (mg /dl)× fasting blood glucose (mg /dl)x1/2]. The endpoint of the study was MACE events, including all-cause death, myocardial infarction, ischemia-induced revascularization and heart failure (HF) rehospitalization. Results A total of 688 patients were included in this study and followed up for 1 year. In the multivariate Cox proportional hazards model, TYG index (adjusted HR 2.33 [95% CI: 1.30-4.20], P&amp;lt;0.01) were associated with an increased risk of MACE events, and the area under the ROC curve (AUC) was 0.604 (95%CI: 0.528-0.680, p &amp;lt;0.05). A total of 197 ICM patients with previously diagnosed diabetes were screened for analysis. We found that TYG index (adjusted HR 6.63 [95% CI: 2.15-20.47], P&amp;lt;0.01), and the AUC was 0.691 (95%CI: 0.562-0.820, p&amp;lt;0.05). Conclusion TYG index can predict the poor prognosis of ICM patients, and the predictive value of TyG index for ICM patients with diabetes is more significant.

The Triglycerides - Glucose Index: An independent predictor of late subclinical cardiotoxicity in adult survivors of childhood, adolescent and young adult cancer

Abstract Introduction The Triglycerides - Glucose index (TyG index) has been identified as a reliable alternative for estimating insulin resistance (IR). Numerous recent studies have provided strong statistical evidence suggesting that this index is associated with the development and prognosis of cardiovascular pathologies. Objectives The aim of this study was to investigate the predictive role of the TyG index on the decrease in left ventricular longitudinal global strain (GLS) assessed on two-dimensional echocardiography in asymptomatic adult survivors of childhood, adolescent and young adult cancer. Methods The study included patients aged 18 years and older, asymptomatic cardiovascular survivors of childhood, adolescent and young adult cancer treated with anthracyclines with or without mediastinal radiotherapy. Anthropometric characteristics, cardiovascular risk factors and cancer treatment-related characteristics were collected. The TyG index was calculated using the formula: ln [fasting triglycerides (mg/dl) × fasting glucose (mg/dl)/2]. GLS was assessed and expressed as an absolute value. A GLS equal to 17.3% was retained as the threshold value after calculation in a referent group matched to patients according to age and gender. Cardiac biomarkers GDF 15, ultra-sensitive troponin I and NT-proBNP levels were measured in addition to fasting blood glucose and lipid profiles. Multivariate analysis using linear regression was performed to identify associations between these different parameters. Results A total of 105 cancer survivors from childhood, adolescence and young adulthood were included. The sex ratio was 1.3. The mean age of the patients was 25 years, the mean time since completion of cancer treatment was 10.6 years, the mean cumulative doses of anthracyclines and mediastinal radiotherapy were successively 245.75 ± 75.14 mg/m2 and 34.6 ± 6.19 Gy. Mean GLS was 18.5 ± 2.83%, mean LVEF 60.6 ± 5.69%. None of the patients had any known diabetes or treatment to lower blood glucose or triglyceride levels. No patient had a history of cardiovascular disease. In the univariate study, the factors associated with lower GLS were patient age at recruitment (p = 0.03), mean time since completion of cancer treatment when this was greater than ten years (p = 0.005), dyslipidemia (p = 0.012), obesity (p = 0.037) and TyG (p = 0.037). In multivariate analysis, lower GLS was related to mean time since completion of cancer treatment (p = 0.015) and TyG index (p = 0.002). Conclusion Our results suggest that the TyG index, as a simple and inexpensive marker of insulin resistance, could help identify cancer survivors from childhood, adolescence and young adulthood who would be at risk of subclinical cardiac dysfunction. Prospective studies with larger numbers are needed to confirm these findings.

Vital Predictive and Prognostic Roles of Triglyceride-Glucose Index in Women With Acute Myocardial Infarction: A Retrospective Cohort Study.

As a biomarker of insulin resistance (IR) in patients with acute myocardial infarction (AMI), the triglyceride-glucose index (TyG index) has received significant attention. However, most research on AMI has focused on male patients, as it is traditionally believed to primarily affect males. Therefore, this study was conducted on a female population with AMI to investigate the potential correlation between the TyG index and their outcomes. A total of 320 women who were admitted to Fujian Provincial Hospital for AMI between January 2017 and December 2019 were included in this study. The TyG index was calculated using the following formula: ln [fasting triglycerides (TG) (mg/dL) × fasting plasma glucose (FPG) (mg/dL)/2]. The primary endpoint of the study was the occurrence of major adverse cardiovascular and cerebrovascular events (MACCEs), which included all-cause mortality, myocardial infarction, repeat revascularization, rehospitalization for heart failure and stroke. The association between the TyG index and unfavorable outcomes in female patients was investigated using the Cox proportional hazards regression model. It was ultimately estimated that 111 patients developed MACCEs. Females with high TyG indices had a higher prevalence of diabetes, elevated heart rates, and hemoglobin A1c, as well as a higher likelihood of undergoing thrombus aspiration and stent placement. The TyG index was found to be positively correlated with the prevalence of hypertension, diabetes, low-density lipoprotein cholesterol, hemoglobin A1c, and damaged vessels. However, this correlation was modest, yet statistically significant. Furthermore, after adjusting for conventional risk factors, the TyG index (HR: 4.292, 95% CI: 2.784-6.616, p < 0.001) was independently associated with MACCEs. As an independent risk predictor, the TyG index has the potential to enhance clinical outcomes for women with AMI.

Association of Triglyceride-Glucose Index, Triglyceride to High-Density Lipoprotein Cholesterol Ratio, and Related Parameters With Prehypertension and Hypertension.

The objective of this study was to investigate the association between triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-c), triglyceride-glucose index (TyG), and related parameters (TyG-BMI, TyG-WC) with prehypertension and hypertension over 45years old. According to the blood pressure diagnosis, the enrolled individuals were divided into two groups, which were prehypertension and hypertension. In multivariate logistic regression analysis, after adjusting for confounders, the highest quartile groups of TG/HDL-c, TyG, and related parameters showed a significantly increased risk of hypertension compared to the lowest quartile groups, and there was associated with hypertension when comparing the highest TG/HDL-c to the lowest TG/HDL-c and corresponding ORs were 1.416 (1.234, 1.625) and 1.029 (0.893, 1.187), respectively. Furthermore, when comparing the fourth quartile to the first quartile of TG/HDL-c, TyG index, and related parameters, respectively, both corresponding ORs of hypertension were higher than prehypertension. Elevated TyG, TyG-BMI, TyG-WC index, and TG/HDL-c ratio levels were associated with hypertension in individuals over 45years. Moreover, the receiver operating characteristic curve was used to compare the predictive ability of each parameter in identifying people with hypertension suggested that the TyG-WC index ([Area under the curve] AUC: 0.601 [CI: 0.588-0.615]), TyG-BMI, and TyG were more significant than TG/HDL-c in distinguishing hypertension. However, in the prehypertension population, the area under the ROC curve for TyG-BMI (0.543 [CI: 0.530-0.556]) was better than that of other parameters. They have the potential to become cost-effective monitors in the hierarchical management of hypertension.

Type 2 diabetes and susceptibility to COVID-19: a machine learning analysis

BackgroundType 2 diabetes mellitus (T2DM) was one of the most prevalent comorbidities among patients with coronavirus disease 2019 (COVID-19). Interactions between different metabolic parameters contribute to the susceptibility to the virus; thereby, this study aimed to rank the importance of clinical and laboratory variables as risk factors for COVID-19 or as protective factors against it by applying machine learning methods.MethodThis study is a retrospective cohort conducted at a single center, focusing on a population with T2DM. The patients attended the Yazd Diabetes Research Center in Yazd, Iran, from February 20, 2020, to October 21, 2020. Clinical and laboratory data were collected within three months before the onset of the COVID-19 pandemic in Iran. 59 patients were infected with COVID-19, while 59 were not. The dataset was split into 70% training and 30% test sets. Principal Component Analysis (PCA) was applied to the data. The most important components were selected using a ‘sequential feature selector’ and scored by a Linear Discriminant Analysis model. PCA loadings were then multiplied by the PCs’ scores to determine the importance of the original variables in contracting COVID-19.ResultsHDL-C, followed by eGFR, showed a strong negative correlation with the risk of contracting the virus. Higher levels of HDL-C and eGFR offer protection against COVID-19 in the T2DM population. But, the ratio of BUN to creatinine did not show any correlation. Conversely, the AIP, TyG index and TG showed the most positive correlation with susceptibility to COVID-19 in such a way that higher levels of these factors increase the risk of contracting the virus. The positive correlation of diastolic BP, TyG-BMI index, MAP, BMI, weight, TC, FPG, HbA1C, Cr, systolic BP, BUN, and LDL-C with the risk of COVID-19 decreased, respectively.ConclusionThe atherogenic index of plasma, triglyceride glucose index, and triglyceride levels are the most significant risk factors for COVID-19 contracting in individuals with T2DM. Meanwhile, high-density lipoprotein cholesterol is the most protective factor.

Predictive value of triglyceride glucose index in acute kidney injury in patients with severe traumatic brain injury

Background At present, the relationship between the Triglyceride-glucose index (TyG index) and Acute kidney injury (AKI) in traumatic brain injury patients in the Intensive Care Unit (ICU) is still unclear. Currently, the relationship between TyG index and AKI occurred within 7 days in the ICU is a highly researched and trending topic. Objective In this study, we conducted in-depth exploration of the relationship between the development of AKI in traumatic brain injury (TBI) patients in the ICU and changes in TyG index, as well as its relevance. Methods A cross-sectional study was conducted with a total of 492 individuals enrolled in the Medical Information Mart for Intensive Care IV(MIMIC-IV) database. Multivariate model logistic regression, smoothed curve fitting and forest plots were utilized to confirm the study objectives. The predictive power of the TyG index for outcome indicators was assessed using subject work characteristics (ROC) curves. As well as comparing the Integrated Discriminant Improvement Index and the Net Reclassification Index of the traditional forecasting model with the addition of the TyG index. Results Of all eligible subjects, 55.9% were male and the incidence of AKI was 59.3%. There was a statistically significant difference in the incidence of AKI within 7 days in the ICU between the different TyG index groups. The difference between TyG index and the risk of AKI within 7 days in the ICU remained significant after adjustment for logistic multifactorial modeling (OR = 2.07, 95% CI = 1.41–3.05, P < 0.001). A similar pattern of associations was observed in subgroup analyses (P values for all interactions were greater than 0.05). The addition of TyG index to the traditional risk factor model improved the predictive power of the risk of AKI within 7 days in ICU (P < 0.05). Conclusion The findings of this study demonstrate a strong association between the TyG index and the occurrence of AKI within 7 days in ICU patients. The TyG index can potentially be used as a risk stratification tool for early identification and prevention of AKI. Implementing preventive strategies targeting patients with a high TyG index may help reduce the burden of AKI in the ICU. Further prospective studies are warranted to validate these findings and explore the clinical utility of the TyG index in AKI prevention.

The association between triglyceride glucose index and suicidal ideation in American adults: Results from NHANES 2005 to 2018.

Previous studies have shown a significant association between the triglyceride glucose index (TyG) and suicidal ideation in Korean women. However, this association has not yet been examined among American adults. This study aims to investigate the association between TyG and suicidal ideation using data from the National Health and Nutrition Examination Survey. The National Health and Nutrition Examination Survey database from 2005 to 2018 was used, including samples ≥20 years old. Suicidal ideation was assessed through questionnaires, and the TyG was derived from fasting triglyceride and glucose measurements. Weighted logistic regression models were used to analyze the relationship between the TyG and suicidal ideation. Generalized additive model curves explored the nonlinear relationship, while stratified and sensitivity analyses assessed potential interactions and the robustness of the findings. A significance level of P < .05 was considered statistically significant. A total of 15,694 participants were enrolled, of whom 3.67% participants showed suicidal ideation. The mean TyG index for participants with or without suicidal ideation was 8.82 ± 0.76, 8.65 ± 0.68, respectively (P < .001). Multivariable logistic regression showed that a higher level of TyG were associated with a higher likelihood of suicidal ideation (OR = 1.20; 95% CI, 1.05-1.38) after full adjustment. Subgroup analysis and interaction tests showed no significant correlation between gender, age, race, marital status, education, body mass index, poverty income ratio, smoking status, drinking status, diabetes, hypertension, stroke, and cancer (P > .05 for all interactions). Our findings confirm a significant and positive association between the TyG and suicidal ideation among American adults. Further large-scale prospective studies are needed to analyze the role of TyG in suicidal ideation.