Influence of the Triglyceride-Glucose Index on Adverse Cardiovascular and Cerebrovascular Events in Prediabetic Patients With Acute Coronary Syndrome

Association of metabolic phenotypes with cardiovascular events in patients aged 18-45 with acute coronary syndrome

BACKGROUND

Obesity and metabolic syndrome are related to cardiovascular events. However, the association different metabolic phenotypes and obesity with cardiovascular events among young adults aged 18-45 with acute coronary syndrome (ACS) remains unclear. The study aimed to investigate the prognosis of patients aged 18-45 years with ACS based on their metabolic phenotype.

METHODS

This study included 1787 patients with ACS ≤ 45 years of age who underwent coronary angiography. Patients were divided into four groups according to metabolic phenotype: metabolically healthy non-obesity (MHN); MHO; metabolically unhealthy non-obesity (MUN); and metabolically unhealthy obesity (MUO). The primary outcome was major adverse cardiovascular events (MACE), including all-cause death, myocardial infarction, stroke, or unplanned revascularization.

RESULTS

Among 1787 patients with ACS, the median age was 41.6 years, 1675 (93.7%) were men, 1111 (62.2%) had obesity, and 659 (36.9%) were classified as MHO. During a median 65 months follow-up, 404 MACE occurred. Multivariate analysis showed that MHO was correlated with a decreased risk of MACE, while MUN significantly increased the risk compared to MHN (MHO: HR 0.69, 95%CI 0.52-0.92, P = 0.011; MUN: HR 1.47, 95%CI 1.07-2.02 P = 0.018). Moreover, restricted cubic spline analysis revealed a linear relationship between body mass index (BMI) and the incidence of MACE (Pnonlinear = 0.304, Poverall < 0.001).

CONCLUSIONS

MHO was correlated with a decreased risk of MACE, while MUN significantly increased the risk compared to MHN. Moreover, there was a linear relationship between BMI and the incidence of MACE.

Association between triglyceride-glucose index and the risk of type 2 diabetes mellitus

OBJECTIVE

To assess the efficacy of the triglyceride-glucose (TyG) index in predicting type 2 diabetes mellitus (T2DM) in the general population.

SUBJECTS AND METHODS

Baseline data were collected from a community population that underwent physical examination between 2015 and 2020. The TyG index was calculated via the following formula: TyG = Ln [fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2]. Cox regression and stratified analyses were performed to evaluate the ability of the TyG score to predict the occurrence of diabetes.

RESULTS

In total, 8 576 subjects were ultimately included and divided into a T2DM group (n = 882) and a non-T2DM group (n = 7,694) according to the results of the 5-year follow-up. Adjustment for all covariates revealed that every 1-unit increase in the TyG index multiplied the risk of T2DM in all the participants (HR: 3.348; 95% CI: 3.004-3.731; P < 0.001). When TyG was divided into three quantiles, the risk of T2DM in the highest quantile was 6.412 times greater than that in the lowest quantile. Subgroup analysis revealed that the correlation was more pronounced in middle-aged and young adults, females, and eutrophic individuals (interaction P value < 0.001).

CONCLUSION

The TyG index can be a strong predictor of T2DM and is more useful for estimating the risk of T2DM in young and middle-aged adults, females, and eutrophic people.

The Association Between Preoperative Triglyceride Glucose Index and Postoperative Adverse Cardiovascular Events in Non-Cardiac Surgery: A Single-Center Study From China

Background

The incidence of postoperative adverse cardiovascular events (PACE) in non-cardiac surgery has significantly increased, severely affecting surgical outcomes and patient prognosis. This study investigates the relationship between preoperative triglyceride-glucose (TyG) index and PACE in patients who underwent non-cardiac surgery.

Methods

We conducted a single-center retrospective study, including adult patients (age ≥18 years) who underwent non-cardiac surgery. Univariate and multivariate logistic regression analyses assessed the relationship between the TyG index and PACE. Nonlinear correlations were investigated using restricted cubic splines (RCS). Additionally, subgroup analysis was performed to evaluate the relationship between the TyG index and PACE in different subsamples.

Results

16,066 patients were studied, among which 1505 cases (9.37%) developed PACE, with a median TyG index of 8.61 (8.22, 9.07). Using the lowest quartile of the TyG index as a reference, the fully adjusted (ORs) (95% CIs) for PACE in the second, third, and fourth quartiles of the TyG index were 1.78 (1.49~2.11), 2.16 (1.81~2.59), and 2.30 (1.88~2.83), respectively. After adjusting for all confounding factors, we found that patients with the highest TyG index had a 68% increased risk of PACE (OR 1.68, 95% CI 1.50~1.90). The results of the subgroup analysis were similar to those of the primary analysis. The RCS model suggests a linear positive correlation between the TyG index and the risk of PACE occurrence. (P for overall < 0.001, P for nonlinear = 0.547).

Conclusion

This cohort study indicates that preoperative TyG index is linearly and positively correlated with an increased incidence of PACE in the non-cardiac surgery population. This finding suggests that intensifying the evaluation of the TyG index may provide a more convenient and effective tool for identifying individuals at risk of PACE during non-cardiac surgeries.

Triglyceride-glucose index and prognosis in non-diabetic critically ill patients: data from the eICU database

Background

The triglyceride-glucose (TyG) index is a marker for insulin resistance (IR) linked to diabetes complications and poor outcomes. Its connection to all-cause mortality in non-diabetic critically ill patients is unknown. This study aims to investigate the TyG index's impact on mortality in this population, evaluating how IR affects their prognosis.

Methods

This study is retrospective observational research utilizing data from the eICU Collaborative Research Database. A total of 14,089 non-diabetic critically ill patients were included and categorized into three groups based on the TyG index measured on the first day of admission (T1, T2, and T3). Kaplan-Meier survival analysis was performed to compare the 28-day mortality rates among the different groups. Cox proportional hazards models were used to assess the relationship between the TyG index and 28-day mortality. Additionally, we conducted sensitivity analyses, subgroup analyses, and interaction analyses to assess the robustness of the results.

Results

During the observation period, 730 patients (5.18%) died in the ICU, while 1,178 patients (8.36%) died in the hospital. The 28-day ICU mortality rate and hospital mortality rate significantly increased with higher TyG index values (P < 0.001). Cox proportional hazards models were used to assess the relationship between the TyG index and 28-day mortality. Specifically, Cox proportional hazards models were used to assess the relationship between the TyG index and 28-day mortality. Furthermore, the analysis showed a nonlinear effect of the TyG index on mortality in non-diabetic critically ill patients, with a critical point at 9.94. While Below 9.94, ICU and hospital mortality rates rose with higher TyG index values. But above 9.94, mortality didn't significantly increase despite further rises in the TyG index. Sensitivity and subgroup analyses confirmed the robustness of these results, and E-value analysis indicated strong resistance to unmeasured confounding factors.

Conclusion

The TyG index demonstrates a significant positive correlation with all-cause mortality in non-diabetic critically ill patients, exhibiting a nonlinear relationship. Consequently, the TyG index serves as a crucial tool for identifying high-risk patients, thereby assisting clinicians in formulating more effective monitoring and intervention strategies.

Associations of obesity and novel lipid indicators in the risk of type 2 diabetes mellitus in Chinese elderly hypertensive patients

Background

The associations of waist circumference (WC), body mass index (BMI), lipid accumulation product (LAP), Chinese visceral adiposity index (CVAI), and triglyceride-glucose Index (TyG) with the risk of type 2 diabetes mellitus (T2DM) remained uncertain in Chinese middle-aged and elderly hypertensive patients.

Methods

A total of 1,965 hypertensive participants aged 45 years and elderly were included in the cross-sectional analysis, and 1,576 hypertensive participants without T2DM for the cohort analysis. In the cross-sectional study, binary logistic regression, restricted cubic splines (RCS), and receiver operating characteristic (ROC) were used to analyze the relationships between WC, BMI, LAP, CVAI, and TyG with and T2DM in hypertensive patients. In the cohort study, Kaplan-Meier survival analyses and Cox regression were further performed to determine the associations of these indicators with incident T2DM risk.

Results

In the cohort study, there were 101 incident T2DM cases occurred during a median follow-up of 30 months, with an incident rate was 2.78 per 100 person-years. The cross-sectional study showed that the risk of T2DM increased significantly with higher quartiles of WC, BMI, LAP, CVAI, and TyG (all P -trend < 0.001). In the cohort study, Cox regression model showed that WC (Q4 vs. Q1, HR = 3.30, 95% CI = 1.66-6.59), BMI (Q4 vs. Q1, HR = 2.38, 95% CI = 1.30-4.36), LAP (Q4 vs. Q1, HR = 5.15, 95% CI = 2.40-11.02), CVAI (Q4 vs. Q1, HR = 3.38, 95% CI = 1.76-6.50), and TyG (Q4 vs. Q1, HR = 5.76, 95% CI = 2.82-11.77) were associated with a higher risk of incident T2DM. RCS confirmed the positive dose-response relationships of WC, BMI, CVAI and TyG with T2DM in both study design, except for LAP in the cohort study. Additionally, ROC analysis revealed that TyG had the strongest area under the curve (AUC) of 0.70 (95% CI = 0.67-0.72) in the cross-sectional study, and the AUC of other indicators ranged from 0.55 to 0.57.

Conclusion

Higher levels of WC, BMI, LAP, CVAI, and TyG are associated with a higher riskof developing incident T2DM in Chinese elderly hypertensive patients, and TyG might be the most effective predictive indicator.

Association between TyG-related parameters and NAFLD risk in Japanese non-obese population

Non-alcoholic fatty liver disease (NAFLD) constitutes a substantial proportion of cases among the non-obese population, yet it is frequently overlooked. Studies investigating the association between triglyceride-glucose (TyG)-related parameters (TyG-BMI, TyG-WC, TyG-WHtR) and NAFLD in non-obese individuals is limited. Thus, this study aims to investigate the association between TyG-related parameters and NAFLD in non-obese individuals to improve early detection and intervention strategies for NAFLD in this population. A cross-sectional analysis was conducted using data from the NAFLD database, including 11,987 participants who underwent health examinations between 2004 and 2015. Logistic regression models were employed to evaluate the relationship between TyG-related parameters and NAFLD risk, incorporating cubic spline functions and smooth curve fitting to identify potential nonlinear relationships. ROC curve analysis was conducted to assess the predictive performance of thee parameters. After controlling for confounding variables, the incidence of NAFLD in non-obese individuals increased with higher TyG-related parameters. Notably, nonlinear relationships between the TyG index and its related parameters regarding NAFLD risk were identified. The areas under the ROC curve for the TyG index and its related parameters were 0.7984, 0.8553, 0.8584, and 0.8353, respectively. Importantly, the predictive ability of the TyG index and its related parameters was stronger in the female population than in that of males. A positive and nonlinear relationship exists between the TyG-related parameters in relation to the risk of NAFLD. The TyG-related parameters exhibit predictive capabilities for NAFLD, with TyG-related parameters demonstrating greater strength than the TyG index itself.

Evaluation of Estimated Glucose Disposal Rate with Neutrophil-to-Lymphocyte Ratio Integrated for Prognosticating Adverse Cardiovascular and Cerebrovascular Events and Risk Stratification Among Acute Coronary Syndrome with Type 2 Diabetes Mellitus Following Percutaneous Coronary Intervention

Objective

This research aimed to address the critical need for effective prognostic tools in patients with acute coronary syndrome (ACS) and type 2 diabetes mellitus (T2DM) undergoing percutaneous coronary intervention (PCI) by exploring the potential significance of integrating estimated glucose disposal rate (eGDR) and neutrophil-to-lymphocyte ratio (NLR).

Methods

Major adverse cardiovascular and cerebrovascular events (MACCE) were the primary endpoint. Log rank test was conducted to compare the Kaplan-Meier curves across the overall follow-up period, and multivariate Cox regression was used to investigate the association between the eGDR/NLR and MACCE.

Results

One hundred fifty-four patients (9.5%) experienced MACCE including 15 cardiac deaths, 97 nonfatal MI, 120 TVR, and 10 strokes. Patients were distributed into low and high eGDR/NLR groups (lower eGDR [eGDR-L] group, higher eGDR [eGDR-H] group, lower NLR [NLR-L] group, and higher NLR [NLR-H] group) based on the median value of eGDR and NLR, further divided into four groups: eGDR-L + NLR-L, eGDR-H + NLR-L, eGDR-L + NLR-H, and eGDR-H + NLR-H. eGDR-L + NLR-H group exhibited significantly higher risks of MACCE (17.4%), compared to another three groups. An independent correlation between eGDR/NLR and MACCE was demonstrated by Cox regression analysis, establishing if the eGDR and NLR was treated as a continuous or categorical variable. Compared to eGDR-H + NLR-L group, patients in eGDR-L + NLR-H group had the uppermost MACCE risk (HR: 5.201; 95% CI 2.764-7.786; P < 0.001). A linear relationship between eGDR/ NLR and MACCE was showed by restricted cubic spline curves. Incorporating the eGDR and NLR toward the baseline risk model developed the precision of forecasting MACCE (baseline risk model-AUC: 0.611 vs baseline risk model + eGDR + NLR-AUC: 0.695, P < 0.001).

Conclusion

Combining eGDR with NLR can be utilized to forecast long-term MACCE and substantially improve the accuracy of risk stratification in ACS patients with T2DM following PCI.

Different associations of atherogenic index of plasma, triglyceride glucose index, and hemoglobin A1C levels with the risk of coronary artery calcification progression according to established diabetes

BACKGROUND

Both insulin resistance and hyperglycemia are important risk factors for atherosclerosis. While the characteristics of atherosclerosis are obviously different according to established diabetes, little has been known regarding the risk of coronary artery calcification (CAC) progression related to the biomarkers of atherogenic index of plasma (AIP), triglyceride glucose (TyG) index, and hemoglobin A1C (HbA1C) in conditions with and without diabetes.

METHODS

We analyzed 12,326 asymptomatic Korean adults (mean age 51.7 ± 8.5 years; 84.2% males; 15.8% with diabetes) over a median follow-up period of 3.0 years. AIP was defined as the base-10 logarithm of the ratio of triglyceride concentration (mmol/L) to high-density lipoprotein cholesterol (mmol/L). The TyG index was calculated as ln (fasting triglycerides [mg/dL] × fasting glucose [mg/ dL]/2). CAC progression was defined using the SQRT method, as a difference of ≥ 2.5 between the square roots (√) of baseline and follow-up coronary artery calcium scores (CACS) (Δ√transformed CACS). Logistic regression models adjusted for interscan periods were used to estimate the odds ratio (OR).

RESULTS

The levels of AIP, TyG index, and HbA1C were significantly higher in diabetics than in non-diabetics. CAC progression was more frequently observed in diabetics (46.9%) than in non-diabetics (28.0%). After adjusting for age, sex, hypertension, hyperlipidemia, obesity, current smoking status, serum creatinine levels, baseline CACS, and interscan period, AIP (per-0.1 unit increase) was associated with CAC progression in only non-diabetics (OR: 1.04, 95% confidence interval [CI]: 1.02 - 1.06; P < 0.001). In contrast, HbA1C level (per-1% increase) was significantly associated with CAC progression in only diabetics (OR: 1.19, 95% CI: 1.08 - 1.32; P = 0.001). The TyG index (per-1 unit increase) was associated with CAC progression in both non-diabetics (OR: 1.32, 95% CI: 1.19 - 1.46; P < 0.001) and diabetics (OR: 1.33, 95% CI: 1.10 - 1.60; P = 0.003).

CONCLUSIONS

The associations between AIP, TyG index, and HbA1C levels with CAC progression vary according to established diabetes. Of these biomarkers, TyG index is independently associated with CAC progression irrespective of established diabetes.

Elevated triglyceride-glucose index associated with increased risk of diabetes in non-obese young adults: a longitudinal retrospective cohort study from multiple Asian countries

Objective

Previous studies have confirmed a positive correlation between the Triglyceride-Glucose (TyG) index and future risk of diabetes. However, evidence of this association in non-obese young populations remains limited. This study aims to investigate the relationship between the TyG index and the future risk of diabetes among non-obese young adults.

Methods

This retrospective cohort study included 113,509 non-obese young adults from China and 9,549 from Japan. The mean age was 35.73 ± 6.38 years, and 56,469 participants (45.89%) were male. The median follow-up duration was 3.38 years. The association between baseline TyG index and risk of diabetes was examined using Cox proportional hazards regression models. Non-linear relationships between the TyG index and risk of diabetes were identified using cubic splines and smoothed curve fitting in the Cox models. Sensitivity and subgroup analyses were also conducted.

Results

After adjusting for covariates, the results indicated a positive correlation between the TyG index and risk of diabetes in non-obese young adults (HR=3.57, 95% CI: 2.92-4.36, P<0.0001). A non-linear relationship was observed with an inflection point at 7.3. The HR to the right of this inflection point was 3.70 (95% CI: 3.02-4.52, P<0.0001), while to the left, it was 0.34 (95% CI: 0.06-1.88, P=0.2161). The robustness of our findings was confirmed through a series of sensitivity analyses and subgroup analyses.

Conclusion

This study reveals a positive and non-linear association between the TyG index and risk of diabetes among non-obese young adults. Interventions aimed at reducing the TyG index by lowering triglycerides or fasting glucose levels could substantially decrease the future likelihood of developing diabetes in this population.

Relationship between triglyceride-glucose index and endometriosis: a cross-sectional analysis

BACKGROUND

The link between insulin resistance and endometriosis is not well established. The triglyceride-glucose (TyG) index serves as a straightforward and economical indicator of insulin resistance. This study examines the link between the TyG index and the prevalence of endometriosis in a U.S.

COHORT

METHODS

This cross-sectional study analyzed data from the NHANES conducted between 1999 and 2006. Reproductive health was assessed through questionnaires, and the TyG index was derived from fasting triglyceride and glucose measurements. Weighted logistic regression models were used to analyze the relationship between the TyG index and endometriosis. Restricted cubic spline (RCS) curves explored the linear relationship, while stratified and sensitivity analyses assessed potential interactions and the robustness of the findings.

RESULTS

The study included 2,346 women, with 176 diagnosed with endometriosis and 2,170 without. Women with endometriosis exhibited an elevated TyG index compared to those without the condition. The weighted logistic regression analysis revealed that the TyG index is an independent risk factor for endometriosis (OR = 1.58, 95% CI 1.17-2.14, p = 0.004). RCS analysis indicated a significant positive linear association between the TyG index and endometriosis, with a turning point at 8.51. Subgroup analysis indicated a stronger association in certain populations. The post-propensity score matching analysis confirmed the robustness of these findings.

CONCLUSION

In the U.S. population, a higher TyG index is positively and linearly associated with endometriosis prevalence. Effective management of blood glucose and lipid levels may reduce the prevalence of endometriosis.

The combined effect of triglyceride-glucose index and high-sensitivity C-reactive protein on cardiovascular outcomes in patients with chronic coronary syndrome: A multicenter cohort study

BACKGROUND

The triglyceride-glucose (TyG) index and high-sensitivity C-reactive protein (hsCRP) are the commonly used biomarkers for insulin resistance and systemic inflammation, respectively. We aimed to investigate the combined association of TyG and hsCRP with the major adverse cardiovascular events (MACE) in patients with chronic coronary syndrome (CCS).

METHODS

A total of 9421 patients with CCS were included in this study. The primary endpoint was defined as a composite of MACE covering all-cause death, nonfatal myocardial infarction, and revascularization.

RESULTS

During the 2-year follow-up period, 660 (7.0%) cases of MACE were recorded. Participants were divided equally into three groups according to TyG levels. Compared with the TyG T1 group, the risk of MACE was significantly higher in the TyG T3 group. It is noteworthy that among patients in the highest tertile of TyG, hsCRP >3 mg/L was significantly associated with an increased risk of MACE, whereas the results were not significant in the medium to low TyG groups. When patients were divided into six groups according to hsCRP and TyG, the Cox regression analysis showed that patients in the TyG T3 and hsCRP >3 mg/L group had a significantly higher risk of MACE than those in the TyG T1 and hsCRP ≤3 mg/L group. However, no significant interaction was found between TyG and hsCRP on the risk of MACE.

CONCLUSION

Our study suggests that the concurrent assessment of TyG and hsCRP may be valuable in identifying high-risk populations and guiding management strategies among CCS patients.

Prognostic significance of triglyceride-glucose index in acute coronary syndrome patients without standard modifiable cardiovascular risk factors

BACKGROUND

A significant percentage of patients with acute coronary syndrome (ACS) without standard modifiable cardiovascular risk factors (SMuRFs) are being identified. Nonetheless, the prognostic influence of the TyG index on adverse events in this type of patient remains unexplored. The aim of this study was to assess the prognostic value of the TyG index among ACS patients without SMuRFs for predicting adverse outcomes.

METHODS

This study involved 1140 consecutive patients who were diagnosed with ACS without SMuRFs at Beijing Anzhen Hospital between May 2018 and December 2020 and underwent coronary angiography. Each patient was followed up for a period of 35 to 66 months after discharge. The objective of this study was to examine major adverse cardiac and cerebrovascular events (MACCE), which included all-cause mortality, non-fatal myocardial infarction, non-fatal ischemic stroke, as well as ischemia-driven revascularization.

RESULTS

During the median follow-up period of 48.3 months, 220 (19.3%) MACCE events occurred. The average age of the participants was 59.55 ± 10.98 years, and the average TyG index was 8.67 ± 0.53. In the fully adjusted model, when considering the TyG index as either a continuous/categorical variable, significant associations with adverse outcomes were observed. Specifically, for each 1 standard deviation increase in the TyG index within the highest TyG index group, there was a hazard ratio (HR) of 1.245 (95% confidence interval CI 1.030, 1.504) for MACCE and 1.303 (95% CI 1.026, 1.653) for ischemia-driven revascularization (both P < 0.05), when the TyG index was analyzed as a continuous variable. Similarly, when the TyG index was examined as a categorical variable, the HR (95% CI) for MACCE in the highest TyG index group was 1.693 (95% CI 1.051, 2.727) (P < 0.05) in the fully adjusted model, while the HR (95% CI) for ischemia-driven revascularization was 1.855 (95% CI 0.998, 3.449) (P = 0.051). Additionally, the TyG index was found to be associated with a poor prognosis among the subgroup.

CONCLUSION

The TyG index is correlated with poor prognosis in patients with ACS without SMuRFs, suggesting that it may be an independent predictive factor of adverse events among these individuals.

Association between TyG index and long-term prognosis of patients with ST-segment elevated myocardial infarction undergoing percutaneous coronary intervention: a retrospective cohort study

OBJECTIVE

To assess the association between the serum triglyceride-glucose product index (TyG index) and the risk for all-cause mortality in patients with ST-segment elevated myocardial infarction (STEMI).

DESIGN

Retrospective.

SETTING AND PARTICIPANTS

This retrospective study included 896 patients with STEMI who underwent percutaneous coronary intervention (PCI) at a comprehensive university-affiliated hospital between January 2016 and January 2019.

METHODS

Patients were equally divided into quartiles (Q1, Q2, Q3 and Q4 group) according to TyG index values.

PRIMARY ENDPOINT

All-cause mortality.

RESULTS

After a median follow-up of 3 years, 108 (17.1%) patients died. TyG index was independently associated with increased all-cause mortality (OR, 1.39; 95% CI, 1.22 to 1.58) after adjusting for age, sex, low-density lipoprotein cholesterol (LDL-c), cardiac troponin I, B-type natriuretic peptide, delayed PCI, post-PCI complications, medication and left ventricular ejection fraction. The adjusted OR was 1.31 (95% CI, 0.62 to 2.77) for Q2, 2.12 (95% CI, 1.01 to 4.53) for Q3 and 4.02 (95% CI, 1.90 to 8.78) for Q4 compared with the lowest quartile (Q1) (p for trend<0.001). In the restricted cubic spline regression model, the relationship between the TyG index and the risk of all-cause mortality was linear (p for non-linear=0.575). Each unit increase in the TyG index was associated with a 68% increase in the multivariate risk for all-cause mortality (OR 1.68; 95% CI, 1.20 to 2.38). In the subgroup analysis, there was an interaction between LDL-c and the TyG index on the risk of all-cause mortality (p for interaction=0.007).

CONCLUSION

The TyG index was significantly associated with the long-term all-cause mortality among patients with STEMI who underwent PCI.

Relationship between preoperative high triglyceride-glucose index and myocardial injury following non-cardiac surgery in advanced-age patients: a retrospective cohort study

BACKGROUND

Myocardial injury after non-cardiac surgery (MINS) is a common and insidious postoperative complication. This study aimed to evaluate the relationship between the triglyceride-glucose index (TyG) and MINS in advanced-age patients.

METHODS

We performed a single-center retrospective study including patients ≥ 65 years of age who underwent non-cardiac surgery. The relationship between TyG and MINS was investigated using univariate and multivariate logistic regression analyses. Multivariate logistic regression analysis involved three models: Model I adjusted for preoperative factors, Model II adjusted for surgery-related factors, and Model III adjusted for both preoperative and surgery-related factors. Propensity score matching (PSM) was used to reduce the confounding effects of covariates. Subgroup analyses were then performed to evaluate the relationship between TyG and MINS in various subsamples.

RESULTS

A total of 7789 patients were studied, among whom 481 (6.2%) developed MINS. A cut-off value of TyG of 8.57 was determined using a receiver operating characteristic (ROC) curve to be associated with the best predictive performance. Participants with TyG ≥ 8.57 were at a higher risk of developing MINS than those with TyG < 8.57 [n = 273 (7.6%) vs. n = 208 (4.9%), respectively; p < 0.001]. The univariate analysis showed that TyG ≥ 8.57 was significantly associated with MINS in elderly patients [odds ratio (OR): 1.58; 95% confidence interval (95%CI): 1.32-1.91; p < 0.001)]. In multivariate logistic regression, adjustments were made for risk factors including age, sex, body mass index (BMI), hypertension, coronary heart disease, and duration of surgery, etc. The adjusted ORs for TyG ≥ 8.57 were 1.46 (95%CI: 1.17-1.82), p = 0.001; 1.46 (95%CI: 1.19-1.77), p < 0.001; and 1.43 (95%CI: 1.13-1.81), p = 0.003, in the three multivariate models, respectively. The relationship remained after PSM (adjusted OR: 1.35, 95% CI: 1.03-1.78, p = 0.029). Furthermore, the relationship between TyG and MINS remained in a number of subgroups in the sensitivity analyses, but not in participants with peripheral vascular stenosis.

CONCLUSIONS

A preoperative high TyG (≥ 8.57) is associated with a higher risk of MINS in advanced-age patients undergoing non-cardiac surgery.

Correlation between triglyceride glucose index and collateral circulation formation in patients with chronic total occlusion of coronary arteries in different glucose metabolic states

BACKGROUND

To investigate the correlation between triglyceride glucose index (TyG) and collateral circulation in patients with chronic total occlusion (CTO) of coronary arteries in different glucose metabolic states.

METHODS

A total of 681 patients who underwent coronary angiography between January 2020 and December 2021 to determine the presence of CTO lesions in at least one major coronary artery were retrospectively included in this study. Patients were categorized into a group with poor collateral circulation formation (Rentrop grade 0-1, n = 205) and a group with good collateral circulation formation (Rentrop grade 2-3, n = 476) according to the Rentrop scale. They were also categorized according to their glucose metabolism status: normal glucose regulation (NGR) (n = 139), prediabetes mellitus (Pre-DM) (n = 218), and diabetes mellitus (DM) (n = 324). Correlation between TyG index and collateral circulation formation was analyzed by logistic regression analysis and receiver operating characteristic (ROC) curves.

RESULTS

Among patients with CTO, TyG index was significantly higher in the group with poor collateral circulation formation than in the group with good collateral circulation formation. Logistic regression analysis showed that TyG index was an independent risk factor for poor collateral circulation formation (OR 5.104, 95% CI 3.323-7.839, P < 0.001). The accuracy of TyG index in predicting collateral circulation formation was evaluated by the ROC curve, which had an area under the curve of 0.779 (95% CI 0.738-0.820, P < 0.001). The restrictive cubic spline curves showed that the risk of poor collateral circulation formation in the Pre-DM and DM groups was initially flat and finally increased rapidly, except for the NGR group. TyG index was significantly associated with an increased risk of poor collateral circulation formation in the Pre-DM and DM groups.

CONCLUSIONS

TyG index was significantly associated with the risk of poor collateral circulation formation in patients with CTO, especially those with Pre-DM and DM.

Correlation between the TyG-BMI index and carotid plaque characteristics in middle-aged and elderly patients with acute myocardial infarction

OBJECTIVE

The aim of this study is to investigate the correlation between the triglyceride-glucose-body mass index (TyG-BMI) and the characteristics of various carotid plaques in middle-aged and elderly patients with acute myocardial infarction (AMI).

METHODS

A retrospective study was conducted on 380 patients with AMI hospitalized in the Cardiology Department of Kaifeng Central Hospital. Based on carotid ultrasound results, patients were divided into the following two groups: the stable plaque group and the unstable plaque group. Additionally, a control group comprising 380 healthy individuals visiting the hospital's physical examination center during the same timeframe was established. Fasting venous blood samples were collected from all participants to measure blood glucose and triglyceride. The baseline TyG-BMI index was calculated using the formula Ln [fasting triglyceride (mg/dL)×fasting blood glucose (mg/dL)/2]×BMI. The correlation between different plaque groups and the TyG-BMI index was analyzed.

RESULTS

The TyG-BMI index was significantly higher in the unstable plaque group compared to the stable plaque group, with values of 252.81±29.99 and 201.92±28.72, respectively (P = 0.034). Spearman's correlation analysis showed a positive correlation between the instability of carotid plaques and the TyG-BMI index in patients with AMI (r = 0.521, P = 0.003). Logistic regression analysis indicated that the TyG-BMI index was an important risk factor for unstable carotid plaques in patients with AMI (OR = 2.691, 95% CI: 1.169-4.123).

CONCLUSION

The findings of this study suggest that an elevated TyG-BMI index significantly increases the risk of unstable carotid plaques in patients with AMI, making it an important risk factor for carotid plaque instability.

Association between Triglyceride-Glucose Index and 1-Year Recurrent Stroke after Acute Ischemic Stroke: Results from the Xi'an Stroke Registry Study of China

INTRODUCTION

The triglyceride-glucose (TyG) index is reported to be related to poor functional outcomes and all-cause mortality post-stroke. However, the association between TyG index and recurrent stroke after acute ischemic stroke (AIS) has not been well described. We aimed to identify whether the TyG index was associated with 1-year recurrent stroke after AIS.

METHODS

Baseline patient information was collected at admission, and the TyG index was calculated. Recurrent stroke events were followed up at 1, 3, 6, and 12 months after diagnosis. We then examined the association between the TyG index and risk of 1-year recurrent stroke using multivariable Cox regression models and restricted cubic spline analyses.

RESULTS

Among 2,288 participants, the mean TyG index was 8.8 ± 0.7. Those in the fourth quartile (Q4) demonstrated higher recurrent stroke risk than those in Q1 (adjusted hazard ratio [HR] = 1.63; 95% confidence interval [CI], 0.98-2.72; p = 0.059). Subgroup analysis revealed a sex-specific association between TyG index and recurrent stroke (p for interaction = 0.022). Additionally, restricted cubic splines analyses showed a nonlinear association between the TyG index and 1-year recurrent stroke. In females, patients in the Q4 had a 2.95-fold increased recurrent stroke risk than did patients in the Q1 (adjusted HR = 2.95; 95% CI: 1.09-7.94; p = 0.032); the risk increased when the TyG index was >8.73. However, no significant correlation was observed in males.

CONCLUSION

A nonlinear association was found between the TyG index and 1-year recurrent stroke risk. Subsequently, a high TyG index could predict an increased 1-year recurrent stroke risk in female AIS patients.

Triglyceride-glucose index and coronary artery disease: a systematic review and meta-analysis of risk, severity, and prognosis

BACKGROUND

The TyG index is an indicator of insulin resistance (IR), which is associated with the development and prognosis of cardiovascular disease. This study aimed to summarize the relationship between the TyG index and the risk, severity, and prognosis of coronary artery disease (CAD) by performing a systematic review and meta-analysis.

METHODS

The PubMed, EMBASE, The Cochrane Library, and Web of Science databases were searched for articles published from inception until May 1, 2023. Cross-sectional studies, retrospective or prospective cohort studies recruiting patients with CAD were included. For the analysis of CAD severity, the outcomes were coronary artery calcification, coronary artery stenosis, coronary plaque progression, multi-vessel CAD, and in-stent re-stenosis. For the analysis of CAD prognosis, the primary outcome was major adverse cardiovascular events (MACE).

RESULTS

Forty-one studies were included in this study. Compared to patients with the lowest TyG index, those with the highest TyG index had a higher CAD risk [odds ratio (OR): 1.94, 95% confidence interval (CI) 1.20-3.14, I2 = 91%, P = 0.007]. Additionally, these patients were more likely to have stenotic coronary arteries (OR: 3.49, 95% CI 1.71-7.12, I2 = 0%, P = 0.0006), progressed plaques (OR: 1.67, 95% CI 1.28-2.19, I2 = 0%, P = 0.002), and with more vessels involved (OR: 2.33, 95% CI 1.59-3.42, I2 = 0%, P < 0.0001). When calculated as a categorized variable, it appears that acute coronary syndrome (ACS) patients with higher TyG index levels may have a higher incidence rate of MACE [hazard ratio (HR): 2.09, 95% CI 1.68-2.62, I2 = 87%, P < 0.00001], whereas chronic coronary syndrome (CCS) or stable CAD patients with higher TyG index levels showed a trend towards an increased incidence rate of MACE (HR: 1.24, 95% CI 0.96-1.60, I2 = 85%, P = 0.09). When calculated as a continuous variable, ACS patients had an HR of 2.28 per 1-unit/1-standard deviation increment of the TyG index (95% CI 1.44-3.63, I2 = 95%, P = 0.0005). Similarly, CCS or stable CAD patients had an HR of 1.49 per 1-unit/1-standard deviation increment of the TyG index (95% CI 1.21-1.83, I2 = 75%, P = 0.0001). Myocardial infarction with non-obstructive coronary arteries patients had an HR of 1.85 per 1-unit increment of the TyG index (95% CI 1.17-2.93, P = 0.008).

CONCLUSIONS

The TyG index is a simple new synthetic index that has been proven to be a valuable tool in the whole-course management of CAD patients. Patients with higher TyG index levels are at a higher risk of CAD, more severe coronary artery lesions, and worse prognosis compared to those with lower TyG index levels.

The preoperative triglyceride-glucose index has a positive effect on predicting the risk of short-term restenosis after carotid artery stenting: a retrospective cohort study

Background

Increasing evidence suggests that insulin resistance is linked to cardiovascular disease and atherosclerosis. The triglyceride-glucose (TyG) index has proven to be a convincing marker to quantitatively evaluate insulin resistance. However, there is no relevant information about the relationship between the TyG index and restenosis after carotid artery stenting.

Methods

A total of 218 patients were enrolled. Carotid ultrasound and computed tomography angiography were used to evaluate in-stent restenosis. A Kaplan-Meier analysis and Cox regression method were performed to analyze the correlation between TyG index and restenosis. Schoenfeld residuals were used to determine the proportional-hazards assumption. A restricted cubic spline method was used to model and visualize the dose-response relationship between the TyG index and the risk of in-stent restenosis. Subgroup analysis was also performed.

Results

Thirty-one participants (14.2%) developed restenosis. The preoperative TyG index had a time-varying effect on restenosis. Within 29 months post-surgery, an increasing preoperative TyG index was linked to a significant increased risk of restenosis (hazard ratio: 4.347; 95% confidence interval 1.886-10.023). However, after 29 months, the effect was decreased, although not statistically significant. The subgroup analysis showed that the hazard ratios tended to be higher in the age ≤ 71 years subgroup (p < 0.001) and participants with hypertension (p < 0.001).

Conclusion

The preoperative TyG index was significantly associated with the risk of short-term restenosis after CAS within 29 months post-surgery. The TyG index may be employed to stratify patients based on their risk of restenosis after carotid artery stenting.

Association between triglyceride glucose index and risk of cerebrovascular disease: systematic review and meta-analysis

BACKGROUND

The triglyceride glucose (TyG) index, which is a new surrogate indicator of insulin resistance (IR), is thought to be associated with many diseases, such as cardiovascular disease, but its relationship with cerebrovascular disease is still controversial.

METHODS

The PubMed, EMBASE, Cochrane Library, Web of Science and Medline databases were searched until March 2022 to evaluate the association between the TyG index and cerebrovascular disease risk. A random‒effects model was used to calculate the effect estimates and 95% confidence intervals (CIs).

RESULTS

A total of 19 cohort studies and 10 case‒control/cross‒sectional studies were included in our study, which included 11,944,688 participants. Compared with a low TyG index, a higher TyG index increased the risk of cerebrovascular disease (RR/HR = 1.22, 95% CI [1.14, 1.30], P&lt;  0.001; OR = 1.15, 95% CI [1.07, 1.23], P&lt;  0.001). Furthermore, the results of the dose-response analysis of the cohort study demonstrated that the risk of cerebrovascular disease increased by 1.19 times per 1 mg/dl increment of the TyG index (relative risk = 1.19, 95% CI [1.13,1.25], P&lt;  0.001).

CONCLUSION

TyG index is related to cerebrovascular disease. More data and basic research are needed to confirm the association.

Triglyceride-glucose index as a marker in cardiovascular diseases: landscape and limitations

The triglyceride-glucose (TyG) index has been identified as a reliable alternative biomarker of insulin resistance (IR). Recently, a considerable number of studies have provided robust statistical evidence suggesting that the TyG index is associated with the development and prognosis of cardiovascular disease (CVD). Nevertheless, the application of the TyG index as a marker of CVD has not systemically been evaluated, and even less information exists regarding the underlying mechanisms associated with CVD. To this end, in this review, we summarize the history of the use of the TyG index as a surrogate marker for IR. We aimed to highlight the application value of the TyG index for a variety of CVD types and to explore the potential limitations of using this index as a predictor for cardiovascular events to improve its application value for CVD and provide more extensive and precise supporting evidence.

Triglyceride Glucose-Body Mass Index and Risk of Incident Type 2 Diabetes Mellitus in Japanese People With Normal Glycemic Level: A Population-Based Longitudinal Cohort Study

BACKGROUND

It has been proved that triglyceride glucose-body mass index (TyG-BMI) is a readily available and clinically significant indicator of insulin resistance (IR). Nevertheless, the association between TyG-BMI and incident Type 2 diabetes mellitus (T2DM) remains uncertain. This study aimed to study the relationship between TyG-BMI and T2DM and explore the predictive characteristics of TyG-BMI.

METHODS

Our study was conducted as a longitudinal cohort study. 8,430 men and 7,034 women were enrolled and analyzed. They were both non-diabetic subjects with normal glycemic levels. Follow-up lasted for 13 years, from 1994 to 2016. To make the number of TyG-BMI in each group similar, the subjects were divided into four groups with 3866 subjects in each group.

RESULTS

During the 13-year follow-up period, 373 subjects were diagnosed with incident T2DM. Our multivariate Cox regression analysis revealed that TyG-BMI was an independent predictor of incident T2DM. In addition, our research identified four specific groups, young people (18-44 years old), women, the non-hypertensive population and non-drinkers were at significantly higher risk of developing TyG-BMI-related diabetes (P-interaction< 0.05). The best threshold TyG-BMI for predicting incident T2DM was 197.2987 (area under the curve 0.7738).

CONCLUSIONS

Our longitudinal cohort study demonstrated the positive correlation between baseline TyG-BMI and risk of incident T2DM in Japanese with normal glycemic levels, and this risk was significantly higher in the young people, women, the non-hypertensive population and non-drinkers.

Combination of TyG Index and GRACE Risk Score as Long-Term Prognostic Marker in Patients with ACS Complicated with T2DM Undergoing PCI

OBJECTIVE

We aimed to investigate the prognostic value of the triglyceride-glucose (TyG) index combined the with Global Registry of Acute Coronary Events (GRACE) score in adult acute coronary syndrome (ACS) patients with type 2 diabetes mellitus (T2DM) who underwent percutaneous coronary intervention (PCI).

METHODS

The study enrolled total 899 ACS patients with T2DM who underwent PCI. TyG index and the GRACE risk score were calculated and assessed by median. The correlation was analyzed by Spearman's rank correlation coefficient. The cumulative major adverse cardiovascular event (MACE) curve was generated using the Kaplan-Meier method. Multivariate Cox regression was used to identify predictors of MACEs. Additionally, the receiver operating characteristic curve (ROC), net reclassification index (NRI) and Integrated Discrimination Improvement (IDI) were applied to analyze the performance of each single factor index and combined multivariate index in predicting MACE.

RESULTS

In the ACS patients with T2DM after PCI, there were significant differences in the TyG index and GRACE risk score between the MACE group and the MACE-free group (P < 0.001). Kaplan-Meier analysis showed that the TyG index combined with the GRACE risk score was positively correlated with the occurrence of MACEs (log rank P < 0.001). Multivariate Cox regression analyses showed that the TyG index, the GRACE risk score, and the TyG index combined with the GRACE risk score were independent predictors of long-term MACEs (adjusted HR: 1.805; 95% CI: 1.479-2.203, P < 0.001; adjusted HR: 1.012; 95% CI: 1.009-1.016, P < 0.001; and adjusted HR: 2.337; 95% CI: 1.805-3.025, P < 0.001, respectively). Correlation analysis indicated that the TyG index was positively correlated with the GRACE risk score (R = 0.140, P < 0.001). The analysis of AUC, NRI and IDI revealed that the combined multivariate index performed better prognostic role than each single factor index in predicting the occurrence of MACE.

CONCLUSION

Both the GRACE risk score and the TyG index could be significant and independent predictors of clinical outcomes in ACS patients with T2DM after PCI. A combination of them could be enhanced predictions of clinical outcomes in these patients.