TyG Index Research Articles

Association between the triglyceride-glucose index and in-hospital major adverse cardiovascular events in patients with acute coronary syndrome: results from the Improving Care for Cardiovascular Disease in China (CCC)-Acute Coronary Syndrome project

ObjectiveAlthough the TyG index is a reliable predictor of insulin resistance (IR) and cardiovascular disease, its effectiveness in predicting major adverse cardiac events in hospitalized acute coronary syndrome (ACS) patients has not been validated in large-scale studies. In this study, we aimed to explore the association between the TyG index and the occurrence of MACEs during hospitalization.MethodsWe recruited ACS patients from the CCC-ACS (Improving Cardiovascular Care in China-ACS) database and calculated the TyG index using the formula ln(fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2). These patients were classified into four groups based on quartiles of the TyG index. The primary endpoint was the occurrence of MACEs during hospitalization, encompassing all-cause mortality, cardiac arrest, myocardial infarction (MI), and stroke. We performed Cox proportional hazards regression analysis to clarify the correlation between the TyG index and the risk of in-hospital MACEs among patients diagnosed with ACS. Additionally, we explored this relationship across various subgroups.ResultsA total of 101,113 patients were ultimately included, and 2759 in-hospital MACEs were recorded, with 1554 (49.1%) cases of all-cause mortality, 601 (21.8%) cases of cardiac arrest, 251 (9.1%) cases of MI, and 353 (12.8%) cases of stroke. After adjusting for confounders, patients in TyG index quartile groups 3 and 4 showed increased risks of in-hospital MACEs compared to those in quartile group 1 [HR = 1.253, 95% CI 1.121–1.400 and HR = 1.604, 95% CI 1.437–1.791, respectively; p value for trend < 0.001], especially in patients with STEMI or renal insufficiency. Moreover, we found interactions between the TyG index and age, sex, diabetes status, renal insufficiency status, and previous PCI (all p values for interactions < 0.05).ConclusionsIn patients with ACS, the TyG index was an independent predictor of in-hospital MACEs. Special vigilance should be exercised in females, elderly individuals, and patients with renal insufficiency.

Optimal obesity- and lipid-related indices for predicting type 2 diabetes in middle-aged and elderly Chinese

To investigate the screening and predicting functions of obesity- and lipid-related indices for type 2 diabetes (T2D) in middle-aged and elderly Chinese, as well as the ideal predicted cut-off value. This study's data comes from the 2011 China Health and Retirement Longitudinal Study (CHARLS). A cross-sectional study design was used to investigate the relationship of T2D and 13 obesity- and lipid-related indices, including body mass index (BMI), waist circumference (WC), waist–height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), triglyceride- glucose index (TyG index) and its correlation index (TyG-BMI, TyG-WC, TyG-WHtR). The unadjusted and adjusted correlations between 13 indices and T2D were assessed using binary logistic regression analysis. The receiver operating characteristic curve (ROC) was used to determine the usefulness of anthropometric indices for screening for T2D and determining their cut‑off value, sensitivity, specificity, and area under the curve (AUC). The study comprised 9488 people aged 45 years or above in total, of whom 4354 (45.89%) were males and 5134 (54.11%) were females. Among them were 716 male cases of T2D (16.44%) and 870 female cases of T2D (16.95%). A total of 13 obesity- and lipid-related indices were independently associated with T2D risk after adjusted for confounding factors (P < 0.05). According to ROC analysis, the TyG index was the best predictor of T2D among males (AUC = 0.780, 95% CI 0.761, 0.799) and females (AUC = 0.782, 95% CI 0.764, 0.799). The AUC values of the 13 indicators were higher than 0.5, indicating that they have predictive values for T2D in middle-aged and elderly Chinese. The 13 obesity- and lipid-related indices can predict the risk of T2D in middle‑aged and elderly Chinese. Among 13 indicators, the TyG index is the best predictor of T2D in both males and females. TyG-WC, TyG-BMI, TyG-WHtR, LAP, and CVAI all outperformed BMI, WC, and WHtR in predicting T2D.

Obesity and lipid indices as predictors of depressive symptoms in middle-aged and elderly Chinese: insights from a nationwide cohort study

BackgroundDepressive symptoms are one of the most common psychiatric disorders, with a high lifetime prevalence rate among middle-aged and elderly Chinese. Obesity may be one of the risk factors for depressive symptoms, but there is currently no consensus on this view. Therefore, we investigate the relationship and predictive ability of 13 obesity- and lipid-related indices with depressive symptoms among middle-aged and elderly Chinese.MethodsThe data were obtained from The China Health and Retirement Longitudinal Study (CHARLS). Our analysis includes individuals who did not have depressive symptoms at the baseline of the CHARLS Wave 2011 study and were successfully follow-up in 2013 and 2015. Finally, 3790 participants were included in the short-term (from 2011 to 2013), and 3660 participants were included in the long-term (from 2011 to 2015). The average age of participants in short-term and long-term was 58.47 years and 57.88 years. The anthropometric indicators used in this analysis included non-invasive [e.g. waist circumference (WC), body mass index (BMI), and a body mass index (ABSI)], and invasive anthropometric indicators [e.g. lipid accumulation product (LAP), triglyceride glucose index (TyG index), and its-related indices (e.g. TyG-BMI, and TyG-WC)]. Receiver operating characteristic (ROC) analysis was used to examine the predictive ability of various indicators for depressive symptoms. The association of depressive symptoms with various indicators was calculated using binary logistic regression.ResultsThe overall incidence of depressive symptoms was 20.79% in the short-term and 27.43% in the long-term. In males, WC [AUC = 0.452], LAP [AUC = 0.450], and TyG-WC [AUC = 0.451] were weak predictors of depressive symptoms during the short-term (P < 0.05). In females, BMI [AUC = 0.468], LAP [AUC = 0.468], and TyG index [AUC = 0.466] were weak predictors of depressive symptoms during the long-term (P < 0.05). However, ABSI cannot predict depressive symptoms in males and females during both periods (P > 0.05).ConclusionThe research indicates that in the middle-aged and elderly Chinese, most obesity- and lipid-related indices have statistical significance in predicting depressive symptoms, but the accuracy of these indicators in prediction is relatively low and may not be practical predictors.

Additive Interaction Between Insulin Resistance, Chronic Low-Grade Inflammation and Vitamin D Deficiency on the Risk of Type 2 Diabetes Mellitus: A Cohort Study

Objectives The aim of this study was to explore, on an additive scale, the combined effect of the association between insulin resistance (IR), chronic low-grade inflammation (CLGI) and vitamin D deficiency (VDD) on the risk of type 2 Diabetes Mellitus (T2DM). Methods This is a cohort study, including 1484 non-diabetic subjects, followed for a period of four years. 25 hydroxy-vitamin D (25OHD), hypersensitive C-reactive protein (HsCRP) and triglyceride-glucose index were assessed. Based on VDD and CLGI, the population was subdivided into 4 exposure groups. Analysis was performed both in the case of IR and without IR. Cox proportional regression and additive interaction were applied to explore cumulative effects of exposure. Results At follow-up, 162 newly diagnosed cases of T2DM were identified. TYG index (RR = 4.0[2.8–5.6]), HsCRP (RR = 1.6 [1.4–1.7]) and 25OHD (RR = 0.96 [0.39–0.98]) were all significantly associated with the risk of T2DM (p < 0.01). The highest excess risk was recorded in patients cumulating simultaneously IR, CLGI and VDD (RR= 8.4[3.6–19.8], p < 0.0001). The additive interaction was significant, the excess risk linked to the interaction RERI = 10.5[1.43–19.7], the proportion attributable to the combined effect: AP = 0.61[0.37–0.85], and the interaction was synergistic: synergy index: 2.8[1.42–5.69]. Conclusion Baseline levels of TYG index, 25OHD and HsCRP are strongly predictive of future T2DM, and their joint effects are additive and synergistic. Interventional studies are therefore warranted in order to evaluate whether vitamin D supplementation, combined with appropriate anti-inflammatory therapies, is effective as a preventive strategy to reduce the risk of T2DM.

The potential of triglyceride-glucose index in improving the prediction of post-percutaneous coronary intervention clinical outcomes: a systematic review and meta-analysis

Introduction Despite percutaneous coronary intervention is the current preferred reperfusion modality, the incidence of major adverse cardiovascular events (MACE) is still high. Currently, GRACE score is used for predicting PCI outcomes. The TyG (triglyceride-glucose) index, a potential predictor based on insulin resistance of cardiovascular disease, has not been considered in the GRACE score. Objective To assess the potential of the TyG index in predicting cardiovascular adverse clinical outcomes in patients undergoing PCI. Method Following PRISMA guidelines, the authors reviewed literature from five databases. We included studies investigating post-PCI outcomes based on the TyG index level. Effect size was estimated using RevMan to calculate pooled odds ratio and mean difference, and R software to perform diagnostic test accuracy. Results Overall, 31,671 post-PCI patients with acute coronary syndrome were included in this study. A significant difference in TyG index was found between patients who experienced MACE and those who did not [MD: 0.3 (0.2–0.4), p < .05]. Higher TyG index was strongly correlated with higher MACE [OR: 2.01 (1.45–2.77), p < .05], especially revascularization [OR: 2.40 (1.72–3.36), p < .05], followed by myocardial infarction [OR: 1.80 (2.41–2.86), p < .05], death [OR: 1.36 (0.86–2.15), p = .19], and stroke [OR: 1.09 (0.79–1.50), p = .59]. Tyg Index showed 55% sensitivity, 60% specificity, and 0.612 accuracy. The addition of the TyG index to the GRACE scoring improved the predictive model’s AUC (0.746 vs. 0.809). Conclusion This systematic review and meta-analysis comprises evidence-based results for the correlation of TyG index and post-PCI outcomes, demonstrating modest sensitivity, specificity, accuracy, and enhanced predictive value of GRACE score.

The association between the triglyceride-glucose index and in-stent restenosis in patients undergoing percutaneous coronary intervention: a systematic review and meta-analysis

BackgroundInsulin resistance (IR) can lead to cellular metabolic disorders, activation of oxidative stress, and endothelial dysfunction, contributing to in-stent restenosis (ISR). The triglyceride-glucose index (TyG index), a new indicator reflecting IR, is extensively researched in the cardiovascular field. This study, through a meta-analysis, aimed to utilize a larger combined sample size and thereby enhance the overall test efficacy to explore the TyG index-ISR relationship.MethodsA thorough search was conducted in the PubMed, EMBASE, Web of Science, and Cochrane Library databases to find original papers and their references published between 1990 and January 2024. This search included both prospective and retrospective studies detailing the correlation between the TyG index and ISR in individuals with coronary heart disease (CHD).OutcomesThe five included articles comprised 3,912 participants, and the odds ratio (OR) extracted from each study was combined using the Inverse Variance method. Results showed that, in the context of CHD patients, each incremental unit in the TyG index, when treated as a continuous variable, corresponded to a 42% elevation in ISR risk (95% CI 1.26–1.59, I²=13%, p < 0.005). When analyzing the TyG index categorically, the results revealed a higher ISR risk in the highest TyG index group compared to the lowest group (OR: 1.69, 95% CI 1.32–2.17, I²=0). Additionally, in patients with chronic coronary syndrome (CCS), each unit increase in the TyG index, the risk of ISR in patients increased by 37% (95% CI 1.19–1.57, I²=0%, p < 0.005). This correlation was also observable in acute coronary syndrome (ACS) patients (OR:1.48, 95% CI 1.19–1.85, I²=0, p < 0.005).ConclusionsThe TyG index, an economical and precise surrogate for IR, is significantly linked with ISR. Furthermore, this correlation is unaffected by the type of coronary heart disease.

Ideal cardiovascular health index and high-normal blood pressure in elderly people: evidence based on real-world data

Limited information is available on the cardiovascular health (CVH) index and risk of high-normal blood pressure (HNBP) in elderly people. Randomized cluster sampling, multivariate logistic regression, and mediating effects analysis were used in this study analyze the relationship between CVH index and HNBP in the elderly. 1089 non-hypertensive residents aged 65 years or older completed the study. The positive rate of HNBP was 75.85% (male vs. female: 76.13% vs. 75.64%, P = 0.852); The ideal rate of CVH (ideal CVH index ≥ 5 items) was 14.51% (male vs. female: 15.91% vs. 13.46%, P = 0.256). Compared with people with 0–2 ideal CVH index, the risk of HNBP in people with 4 ideal indexes and ≥ 5 ideal indexes decreased by 50% and 63%, respectively, and their OR (95% CI) were 0.50 (0.31, 0.81) and 0.37 (0.21, 0.66), respectively. The results of the trend test showed that the risk of HNBP decreased by 32% for every increase in the ideal CVH index (trend P < 0.001) and TyG index does not play a mediating role in this relationship. That is, increasing the number of ideal CVH index may effectively reduce the risk of HNBP in elderly by one-third.

Triglyceride-glucose index as a potential predictor for in-hospital mortality in critically ill patients with intracerebral hemorrhage: a multicenter, case-control study.

The correlation between the triglyceride-glucose index (TyG) and the prognosis of ischemic stroke has been well established. This study aims to assess the influence of the TyG index on the clinical outcomes of critically ill individuals suffering from intracerebral hemorrhage (ICH). Patients diagnosed with ICH were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Various statistical methods, including restricted cubic spline (RCS) regression, multivariable logistic regression, subgroup analysis, and sensitivity analysis, were employed to examine the relationship between the TyG index and the primary outcomes of ICH. A total of 791 patients from MIMIC-IV and 1,113 ones from eICU-CRD were analyzed. In MIMIC-IV, the in-hospital and ICU mortality rates were 14% and 10%, respectively, while in eICU-CRD, they were 16% and 8%. Results of the RCS regression revealed a consistent linear relationship between the TyG index and the risk of in-hospital and ICU mortality across the entire study population of both databases. Logistic regression analysis revealed a significant positive association between the TyG index and the likelihood of in-hospital and ICU death among ICH patients in both databases. Subgroup and sensitivity analysis further revealed an interaction between patients' age and the TyG index in relation to in-hospital and ICU mortality among ICH patients. Notably, for patients over 60years old, the association between the TyG index and the risk of in-hospital and ICU mortality was more pronounced compared to the overall study population in both MIMIC-IV and eICU-CRD databases, suggesting a synergistic effect between old age (over 60years) and the TyG index on the in-hospital and ICU mortality of patients with ICH. This study established a positive correlation between the TyG index and the risk of in-hospital and ICU mortality in patients over 60years who diagnosed with ICH, suggesting that the TyG index holds promise as an indicator for risk stratification in this patient population.

TYG INDEX AS PREDICTOR OF METABOLIC SYNDROME IN YOUNG TO-MIDDLE AGE STAGE I HYPERTENSIVES, UNTREATED AT THE BASELINE

Objective: Tyg index, a surrogate marker of insulin resistance, was shown to be a predictor of development of metabolic syndrome (MS) among diabetes patients and general population while the predictive value among young hypertensives is less known. The aim of the present study was to investigate the predictive capacity of tyg index for incident MS among young untreated hypertensives. Design and method: we investigated 949 young-to-middle age stage I hypertensives from the HARVEST study, mean age 32.4±8.7 years, mean BMI 24.7±3.2 kg/m2, 69.2% males, without MS at baseline. Mean 24h blood pressure (BP) at entry 130.0±10.9/81.0±8.3 mmHg. Tyg index was calculated according to the usual formula. Patients were divided into tyg quintiles:7.008-7.895, 7.896-8.199, 8.200-8.423, 8.424-8.585, &gt;=8.586 respectively. The risk of MS was calculated by means of survival Cox analyses adjusted for several confounders. Results: Patients in the highest quintiles were significantly older 35.3±8.1 years and heavier 25.3±3.3 kg/m2 than the bottom ones (p&lt;0.001). Also baseline metabolic parameters were worse in top quintile (serum glucose 96.2±14.1, uric acid 5.3±1.2 mg/dl, total cholesterol 212.1±35.3 mg/dl, HDL 51.8±10.2 mg/dl) in comparison to the lower ones (p&lt;0.001 for all comparisons). Baseline 24h BP values did not differ according to Tyg quintile, while heart rate was higher in the top quintile (74.3±8.4 bpm, p&lt;0.001). During 8.1 years of follow-up, 76.3% of subjects developed new onset MS. Again, metabolic parameters were worst in the highest tyg quintile (serum glucose 97.9±15.4 mg/dl, total cholesterol 225.9±44.7 mg/dl, and HDL 52.1±15.2 mg/dl, as was final BMI (26.2±3.6Kg/m2, p&lt;0.001 for all comparisons). Final 24h BP did not differ according to Tyg quintile while heart rate was higher in the highest quintile (p&lt;0.001). In multivariate Cox analysis patients in the 4th and 5th quintiles presented the highest risk of new onset MS (HR 1.51 (1.11-2.06) p=0.009; HR 1.46 (1.09-1.46)p=0.011, respectively), in comparison to the bottom quintile. Conclusions: The risk of development of metabolic syndrome was significantly increased among patients in the top tyg quintiles, confirming its predictive capacity as a surrogate marker of insulin resistance among young stage I hypertensives.

LOWER PEAK ATRIAL LONGITUDINAL STRAIN VALUES ARE ASSOCIATED WITH OBESITY AND INSULIN RESISTANCE IN YOUNG PATIENTS WITH HYPERTENSION

Objective: The aim of the study was to compare features of left atrium remodeling in young patients with arterial hypertension (HTN) according to metabolic health status Design and method: We enrolled 83 young subjects (23 [21; 25] years, 87% males) with HTN diagnosed with office blood pressure (BP) measurement and 24-hours ambulatory BP monitoring according to ESC guidelines criteria (2018). Patients with diabetes mellitus and cardiovascular diseases were not included. We performed routine clinical examination and lab tests and two-dimensional speckle-tracking echocardiography. Patients were divided in two subgroups according to their relation to median of left atrial reservoir strain (LASr) in general population (Nielsen AB. et al., 2021. doi:10.1093/ehjci/jeab201). We estimated and compared main clinical characteristics of obesity and lipid and carbohydrates metabolism including HOMA-IR and non-insulin-based metabolic scores for insulin resistance in derived subgroups with T-test. Results: Groups had similar age, sex and BP structure. Subjects with LASr less than 39,4% (n = 48) had higher body mass index (27,2±5,0 vs 24,1±3,7, p=0,0041), waist circumference (93,4±14,0 vs 83,0±10,7, p=0,001) and waist-to-hips ratio (0,90±0,07 vs 0,84±0,07, p=0,0007). Characteristics of lipid metabolism also varied in 2 groups: in lower LASr subgroup triglycerides concentration was higher (1,53±1,06 vs 0,81±0,28, p=0,0005) and high density lipoproteins (HDL) was lower (1,18±0,28 vs 1,55±0,53, p=0,0003) while there was no significant difference in total cholesterol and low density lipoproteins levels. Fasting glucose and HOMA-IR did not differ between the groups but significant differences were observed for non-insulin-based metabolic scores: in lower LASr group METS-IR, TG/HDL ratio and TyG index were higher (41,6±9,25 vs 33,0±6,4, p&lt;0,0001; 3,38±2,94 vs 1,34±0,68, p=0,0004 and 8,55±0,60 vs 8,02±0,30, p&lt;0,0001, respectively). In reverse stepwise regression model for the general group LASr were independently associated with the level of left ventricular ejection fraction, DBP24h, METS-IR index, while the relationship with the HDL-C, SBP24h, relative wall thickness, E/e’ were lost (METS-IR index and HDL-C were included after checking the collinearity). Conclusions: young patients with HTN with lower LASr have worse metabolic status estimated with non-insulin-based metabolic scores and obesity characteristics.

Exploring the impact of stevioside and stevia Rebaudiana Bertoni (SRB) extract on the TyG index in male rats

Exploring the impact of stevioside and stevia Rebaudiana Bertoni (SRB) extract on the TyG index in male rats

THE ROLE OF TYG INDEX AS PREDICTOR OF CARDIOVASCULAR EVENTS AMONG YOUNG TO-MIDDLE-AGE STAGE I HYPERTENSIVES

Objective: The triglyceride-glucose index (TYG), a surrogate marker of insulin resistance, was shown to be associated with an increased risk of cardiovascular events among people with diabetes or the metabolic syndrome, while its prognostic capacity among young hypertensives is less explored. The aim of the present study was to investigate the role of TYG as predictor of cardiovascular outcomes among young stage I hypertensives, untreated at baseline. Design and method: We investigated 1210 subjects from the HARVEST study, mean age 33.1±8.5 years, 72.8% males. TYG was calculated according to the usual formula. BP was measured with 24-hour ambulatory monitoring. For the analyses, patients were divided into TYG quartiles: 7.008-8.061, 8.063-8.423, 8.424-8.690, 8.691-10.678, respectively. The risk of major adverse cardiovascular events (MACE) was explored by means of survival Cox analyses adjusting for several confounders and risk factors, including lifestyle factors, 24-hour BP and cholesterol. Results: TYG was correlated with BMI (r=0.348, p&lt;0.001), age (0.237, p&lt;0.001), serum uric acid (r=0.349, p&lt;0.001), total cholesterol (r=0.422, p&lt;0.001) and HDL-cholesterol (-0.393, p&lt;0.001), and diastolic BP (0.132, p&lt;0.001). Subjects in the top TYG quartile had the highest percentage of smokers (p&lt;0.001), coffee users (p=0.038) and alcohol drinkers (p=0.010). TYG was significantly correlated with left ventricle mass index (r=0.08, p=0.021), left ventricular septum thickness (r=0.15, p&lt;0.001), and posterior wall thickness (r=0.17, p&lt;0.001). During 17.4 years of follow-up, 108 MACE were accrued. In multivariate Cox analysis the risk of MACE was higher in the two highest TYG quartiles than in the bottom quartile. For the top quartile the hazard ratio was 2.46 (95%CI, 1.17-5.20, p=0.018). The association remained significant also when the lifestyle factors were included in the regression with a hazard ratio of 2.43 (95%CI, 1.14-5.17, p=0.022). This was driven mainly by the strong association found in men with a hazard ratio of 4.84 (95%CI, 1.63-14.39, p=0.004). Conclusions: TYG index is a surrogate marker of insulin resistance, easy to calculate, which significantly correlates with several other metabolic parameters and with left ventricular wall thickness and mass. It is a predictor of adverse cardiovascular outcomes especially in male individuals.

HOMA and TyG indices in patients with metabolic syndrome: Comparative study

HOMA and TyG indices in patients with metabolic syndrome: Comparative study

The prognostic impact of insulin resistance surrogates in patients with acute myocardial infarction with and without type 2 diabetes.

Cardiovascular disease is the major cause of morbidity and mortality, particularly in type 2 diabetes mellitus (T2DM). Novel markers of insulin resistance and progression of atherosclerosis include the triglycerides and glucose index (TyG index), the triglycerides and body mass index (Tyg-BMI) and the metabolic score for insulin resistance (METS-IR). Establishing independent risk factors for in-hospital death and major adverse cardiac and cerebrovascular events (MACCE) in patients with myocardial infarction (MI) remains critical. The aim of the study was to assess the risk of in-hospital death and MACCE within 12months after ST-segment elevation myocardial infarction (STEMI) and non-ST-segment elevation myocardial infarction (NSTEMI) in patients with and without T2DM based on TyG index, Tyg-BMI and METS-IR. Retrospective analysis included 1706 patients with STEMI and NSTEMI hospitalized between 2013 and 2021. We analyzed prognostic value of TyG index, Tyg-BMI and METS-IR for in-hospital death and MACCE as its components (death from any cause, MI, stroke, revascularization) within 12months after STEMI or NSTEMI in patients with and without T2DM. Of 1706 patients, 58 in-hospital deaths were reported (29 patients [4.3%] in the group with T2DM and 29 patients [2.8%] in the group without T2DM; p = 0.1). MACCE occurred in 18.9% of the total study population (25.8% in the group with T2DM and 14.4% in the group without T2DM; p < 0.001). TyG index, Tyg-BMI and METS-IR were significantly higher in the group of patients with T2DM compared to those without T2DM (p < 0.001). Long-term MACCE were more prevalent in patients with T2DM (p < 0.001). The area under the ROC curve (AUC-ROC) for the prediction of in-hospital death and the TyG index was 0.69 (p < 0.001). The ROC curve for predicting in-hospital death based on METS-IR was 0.682 (p < 0.001). The AUC-ROC values for MACCE prediction based on the TyG index and METS-IR were 0.582 (p < 0.001) and 0.57 (p < 0.001), respectively. TyG index was an independent risk factor for in-hospital death in patients with STEMI or NSTEMI. TyG index, TyG-BMI and METS-IR were not independent risk factors for MACCE at 12month follow-up. TyG index and METS-IR have low predictive value in predicting MACCE within 12months after STEMI and NSTEMI.

Triglyceride Glucose Index in the Prediction of Adverse Cardiovascular Events in Patients with Coronary Artery Diseases

Background: The triglyceride-glucose index offers a novel perspective as an alternative indicator of insulin resistance and anticipates increased long-term cardiovascular risks. Elevated TyG index values have been correlated with an increased risk of cardiovascular events. Methods: PubMed, Cochrane, Web of sciences and Google scholar were searched for “Triglyceride glucose index AND cardiovascular outcome” studies. Patients with coronary artery disease (CAD) with cardiovascular outcome at in-hospital or on follow up reported through hazard ratio (HR) analysis were considered for systemic review. Twenty studies were chosen to examine the correlation between cardiovascular outcomes and TyG index in patients admitted for coronary disease. Results: Twenty observational studies involving 1,52,846 patients were included in the present systemic review. Included studies reported relation between TyG index and Major adverse cardiovascular events (MACE) through Hazard ratio analysis and found significant hazard ratio of TyG index (conditional/continuous) ranged from (HR= 1.06 to 12.92) for MACE after adjusting confounders. In hospital MACE analysis study involving 4839 participants, the HR = 1.83 (1.27, 2.64) for TyG ≥9.37 quartiles and HR = 1.23 (1.10, 1.38) for TyG index continuous value. Included studies showed significant association between higher value of TyG index and cardiovascular outcomes. Conclusion: Emerging evidence indicates a potential link between the TyG and cardiovascular events. Though further research is needed to solidify this associations, the TyG index holds promise as a simple and accessible tool for identifying individuals at risk of cardiovascular complications.

Prognostic Value of Hyperglycemia and Insulin Resistance Among Patients with Confirmed COVID-19 Infections at Admission to the Alexandria Fever Hospital, Egypt.

Background: The interaction between COVID-19 infection, hyperglycemia, and insulin resistance (IR) may lead to poor outcome. Methods: This prospective study included 100 adult participants without diabetes attending Alexandria Fever Hospital with confirmed COVID-19 infections. They were classified into four groups according to disease severity using World Health Organization (WHO) criteria. Demographic and clinical parameters were collected. Laboratory investigations were obtained. Another follow-up fasting plasma glucose (FPG) value was measured after 3 months in cured patients. Results: Admission FPG, follow-up FPG, lipid profile, markers of IR, and inflammation were significantly higher in severe and critical cases than in mild and moderate cases with increasing values with increased severity. Furthermore, these parameters were significantly higher in died cases compared with cured cases. Admission FPG, TyG index, and homeostatic model assessment (HOMA)-IR showed significant positive correlations with follow-up FPG. Admission FPG was the only independent mortality predictor in multivariate analysis (P = 0.027) with 1.7-folds increased mortality risk with each 10 mg/dL increments. Values exceeding 117 mg/dL, 2.2, and 6.33 for admission FPG, HOMA-IR, and Fasting Insulin Resistance Index, respectively, were able to predict mortality in the studied sample. Conclusions: These results will help in identifying patients at high risk of severe infection and death at admission and take early actions to improve outcome.

Assessing the use of the triglyceride-glycemic index (TyG), neutrophil-lymphocyte Ratio (NLR), and platelet-lymphocyte Ratio (PLR) in distinguishing benign and malignant tumors among patients with complaints of breast mass

IntroductionBreast cancer is a prevalent global health concern characterized by uncontrolled cell growth in breast tissue. In 2020, approximately 2.3 million cases were reported worldwide, with 162,468 new cases and 87,090 fatalities documented in India in 2018. Early diagnosis is crucial for reducing mortality. Our study focused on the use of markers such as the triglyceride-glycemic index and hematological markers to distinguish between benign and malignant breast masses. MethodsA prospective cross-sectional study included female patients with breast mass complaints. The target sample size was 200. Data collection included medical history, clinical breast examination, mammography, cytological assessment via fine-needle aspiration cytology (FNAC), and blood sample collection. The analyzed parameters included neutrophil-to-lymphocyte Ratio (NLR), platelet-to-lymphocyte Ratio (PLR), and triglyceride-glycemic index (TyG). Histopathological examination confirmed the FNAC results. Statistical analysis including propensity score matching, Kolmogorov–Smirnov tests, Mann–Whitney U tests, receiver's operator curve (ROC) analysis, and logistic regression models was conducted using SPSS and R Software. Additional validation was performed on 25 participants. ResultsThis study included 200 participants. 109 had benign tumors and 91 had malignant tumors. Propensity score matching balanced covariates. NLR did not significantly differ between the groups, while PLR and TyG index differed significantly. NLR correlated strongly with the breast cancer stage, but not with the BI-RADS score. PLR and TyG index showed moderate positive correlations with the BI-RADS score. ROC analysis was used to determine the optimal cutoff values for PLR and TyG index. Logistic regression models combining PLR and TyG index significantly improved malignancy prediction. ConclusionsTyG index and PLR show potential as adjunctive markers for distinguishing breast masses. NLR correlated with cancer stage but not lesion type. Combining TyG and PLR improves prediction, aiding clinical decisions, but large-scale multicenter trials and long-term validation are required for clinical implementation.

The triglyceride glucose index was nonlinearly associated with all-cause mortality in diabetic patients

Background and aimThe TyG index has been linked with cardiometabolic diseases. Our study aimed to investigate the specific relationship between the triglyceride and glucose index (TyG) and both all-cause and cardiovascular mortality in diabetic patients. Methods and resultsWe enrolled 3120 participants with diabetes from the National Health and Nutrition Examination Survey. The TyG index was calculated using the formula ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. Hazard ratios (HRs) of TyG associated with mortality risk were assessed using Cox proportional hazard regression models. Over a follow-up period of 10.8 thousand person-years, we observed 768 all-cause deaths and 155 cardiovascular deaths. Compared to the reference quartile, the multivariate-adjusted hazard ratios and 95% confidence intervals for all-cause mortality were 1.02 (1.01–1.05; p = 0.008) in the fourth quartile. Dose-response analysis revealed a non-linear association. However, no significant associations were found between the TyG index and cardiovascular mortality. ConclusionsThe TyG index exhibited a non-linear association with the risk of all-cause mortality in diabetic patients.

Prediction of various insulin resistance indices for the risk of hypertension among military young adults: the CHIEF cohort study, 2014–2020

BackgroundNon-insulin-based insulin resistance (NI-IR) indices have been reported to have an association with prevalent hypertension, however, no cohort studies to date have compared their prediction of hypertension among young adults.MethodsA total of 2,448 military men and women, aged 18–39 years, without baseline hypertension in Taiwan were followed for incident hypertension events from 2014 until the end of 2020. All subjects underwent annual health examinations including measurements of blood pressure (BP) in mmHg. Systolic BP (SBP) 130–139/diastolic BP (DBP) < 80, SBP < 130/DBP 80–89, and SBP 130–139/DBP 80–89 were respectively defined as stage I isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH) and combined hypertension (CH). The cut-off levels of stage II hypertension for SBP and DBP were 140–159 and 90–99, respectively. Four NI-IR indices included the ratio of serum triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C), TyG index defined as ln[TG* fasting glucose (FG)/2], Metabolic Score for IR (METS-IR) defined as ln[(2* FG) + TG)* body mass index (BMI)/(ln(HDL-C))], and ZJU index defined as BMI + FG + TG + 3* alanine transaminase/aspartate transaminase (+ 2 if female). Multivariable Cox regression analysis was performed with adjustments for baseline age, sex, body mass index, BP, substance use, family history for early onset cardiovascular diseases or hypertension, low-density lipoprotein cholesterol, kidney function, serum uric acid and physical activity to determine the associations.ResultsDuring a median follow-up of 6.0 years, there were 920 hypertension events (37.6%). Greater TyG, TG/HDL-C and METS-IR indices were associated with a higher risk of stage I IDH (hazard ratios (HRs) and 95% confidence intervals: 1.376 (1.123–1.687), 1.082 (1.039–1.127) and 3.455 (1.921–6.214), respectively), whereas only greater ZJU index was associated with a higher risk of stage II IDH [HRs: 1.011 (1.001–1.021)]. In addition, greater ZJU index was associated with a higher risk of stage II ISH [HR: 1.013 (1.003–1.023)], and greater TyG index was associated with a higher risk of stage II CH [HR: 2.821 (1.244–6.395)].ConclusionInsulin resistance assessed by various NI-IR indices was associated with a higher risk of hypertension in young adults, while the assessment ability for specific hypertension category may differ by NI-IR indices.

Association of triglyceride-glucose index with adverse cardiovascular events in patients with established coronary artery disease according to different inflammatory status

Background and aimsThis study aimed to investigate the association of the triglyceride-glucose (TyG) index, a simple-but-reliable indicator of insulin resistance, with risk of cardiovascular (CV) events in coronary artery disease (CAD) patients with different inflammation status. Methods and resultsWe consecutively recruited 20,518 patients with angiograph-proven-CAD from 2017 to 2018 at Fuwai Hospital. Patients were categorized according to baseline TyG index tertiles (T) (tertile 1: ≤8.624; T2: 8.624–9.902 and T3: >9.902) and further assigned into 6 groups by high-sensitivity C-reactive protein (hsCRP) medians. The primary endpoint was CV events including CV death, nonfatal myocardial infarction and nonfatal stroke. During the 3.1-year-follow-up, 618 (3.0%) CV events were recorded. Overall, patients with high TyG index levels (T2 or T3) showed significantly increased risk of CV events (hazard ratio [HR]: 1.24; 95% confidence interval [CI]: 1.01–1.53; HR: 1.33; 95%CI: 1.05–1.68, respectively) compared with those with lowest Tyg index (T1) after adjusting for confounding factors. Upon stratification by hsCRP levels, elevated TyG index was associated with increased risk of CV events only in patients with hsCRP levels > median (per-1-unit-increase HR: 1.39; 95%CI: 1.11–1.74), rather than in those with hsCRP levels ≤ median. Furthermore, adding the TyG index to the predicting model led to a significant improvement in patients with hsCRP > median rather than in those with hsCRP ≤ median. ConclusionsWe firstly found that elevated TyG index levels were associated with increased risk of CV events in CAD patients, especially in those with increased inflammatory status, suggesting that it could help in risk stratification and prognosis in this population.