Triglyceride glucose index for the detection of asymptomatic coronary artery stenosis in patients with type 2 diabetes

The clinical evaluation of the triglyceride-glucose index as a risk factor for coronary artery disease and severity of coronary artery stenosis in patients with chronic kidney disease

INTRODUCTION

Insulin resistance (IR) plays an important role in the occurrence and development of cardiovascular disease (CVD) in patients with chronic kidney disease (CKD). The triglyceride-glucose (TyG) index is a simple and effective tool to evaluate IR. This study aimed to evaluate the association of the TyG index with coronary artery disease (CAD) and the severity of coronary artery stenosis (CAS) in nondialysis patients with stages 3-5 CKD.

METHODS

Nondialysis patients with stages 3-5 CKD who underwent the first coronary angiography at Zhongda Hospital affiliated with Southeast University from August 2015 to January 2017 were retrospectively analyzed. CAS was measured by coronary angiography, and the CAS score was calculated as the Gensini score. Logistic regression analysis was used to determine the related factors of CAD and severe CAS.

RESULTS

A total of 943 patients were enrolled in this cross-sectional study and 720 (76.4%) of these patients were diagnosed with CAD. The TyG index in the CAD group (7.29 ± 0.63) was significantly higher than that in the non-CAD group (7.11 ± 0.61) (p < 0.001). Multivariate logistic regression analysis showed that a higher TyG index was an independent risk factor for CAD in CKD patients after adjusting for related confounding factors (OR = 2.865, 95% CI 1.681-4.885, p < 0.001). Patients in the CAD group were divided into three groups according to the Gensini integral quantile level. Multivariate logistic regression analysis showed that the TyG index was an independent related factor for severe CAS after adjusting for relevant confounding factors (p < 0.001).

CONCLUSIONS

The TyG index is associated with CAD and the severity of CAS in patients with nondialysis stages 3-5 CKD. A higher TyG index is an independent factor for CAD and severe CAS.

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.

Correlation between triglyceride glucose index and coronary plaque: An observational study

The association between the triglyceride-glucose (Tyg) index and coronary plaque in patients with coronary heart disease remains unclear. This study aimed to investigate the relationship between Tyg index and coronary plaque under different levels of blood glucose metabolism. This retrospective study included patients with coronary artery disease who underwent coronary angiography and OCT between January 1, 2023 and January 1, 2024, and ultimately collected 232 coronary plaques. All patients were grouped according to the median Tyg index (T1 group 7.71 ≤ TyG index ≤ 9.13; T2 group 9.14 ≤ TyG index ≤ 10.99). The thickness of plaque fiber cap was measured under OCT, and the plaques were divided into vulnerable plaque and non-vulnerable plaque. The status of glucose metabolism is divided into non-diabetic and diabetic. Baseline data analysis showed that there were significant differences in clinical and biological characteristics between the T1 and T2 groups (P < .05). Logistic regression analysis showed that T2 group was significantly associated with vulnerable plaques compared with T1 group (odds ratio [OR]: 2.638; 95% confidence interval [CI] 1.548-4.494; P < .001). The OR of Tyg index was 2.175 (95% CI 1.409-3.357; P < .001). Receiver operating characteristic showed that the area under ROC curve (AUC) was 0.727 (95% CI 0.663-0.792; P < .001), the best cutoff value was 9.23, the sensitivity was 60%, and the specificity was 81%. In diabetic patients, there was a statistically significant correlation between Tyg index and coronary vulnerable plaque (OR: 3.273; 95% CI 1.240-8.636, P < .05). Triglyceride glucose index is a good predictor of coronary vulnerable plaque.

Role of Triglyceride-Glucose Index in Type 2 Diabetes Mellitus and Its Complications

Insulin resistance (IR) is the major mechanism in the pathogenesis of type 2 diabetes mellitus (T2DM). Early identification of IR is of great significance for preventing the onset of T2DM and delaying the progression of the disease. Previous studies have shown that triglyceride-glucose (TyG) index can be used as an effective surrogate marker for IR. There is a significant correlation between TyG index and T2DM and its common complications. In addition, the predictive efficacy of TyG index is better than that of other IR surrogate indicators. TyG index may not only become an important marker to identify people at high risk of T2DM and its complications, but is also expected to become a strong predictor of the prognosis of these diseases. However, there are still some challenges in the widespread application of TyG index in clinical practice. In the future, more high-quality studies are needed to clarify the assessment methods of TyG index for the prognosis of T2DM and its complications. Further investigations of the relationship between TyG index and T2DM and its complications will be expected to provide new ideas and methods for the prevention and treatment of T2DM and its complications.

Association between triglyceride-glucose index and depression in patients with type 2 diabetes: A cross-sectional study from NHANES

This cross-sectional study aimed to examine the association between the triglyceride-glucose (TyG) index and the prevalence of depression in individuals with type 2 diabetes. A nationally representative sample of 3225 individuals with type 2 diabetes was enrolled in this study. Multivariable logistic regression models were used to assess the association between the TyG index and depression, adjusting for potential confounding factors. After adjusting for age, gender, BMI, smoking, alcohol consumption, congestive heart failure, and coronary heart disease, a significant positive association was found between the TyG index and the prevalence of depression in individuals with type 2 diabetes (OR = 1.54, 95% CI: 1.21-1.95). Subgroup analyses showed consistent associations across various demographic and clinical subgroups. This study provides evidence of a significant independent positive association between the TyG index and the prevalence of depression in individuals with type 2 diabetes.

Usefulness of Serum Testosterone Concentration and Skin Autofluorescence as Coronary Risk Markers in Male Patients With Type 2 Diabetes Mellitus

Background

No studies have reported simultaneous evaluation of the two coronary risk markers of testosterone and skin autofluorescence (SAF) as a marker of advanced glycation end products in patients with type 2 diabetes mellitus (T2DM) at present. This study aimed to clarify the clinical significance of both indicators as risk markers of coronary artery disease (CAD), including the association and background factors between testosterone and SAF in male patients with T2DM.

Methods

This study enrolled 162 male patients with T2DM (CAD: n = 35). Testosterone was evaluated by serum total testosterone concentration (T-T). Various analyses related to T-T and SAF as coronary risk markers were performed.

Results

T-T was significantly lower, and SAF was significantly higher in patients with CAD than in patients with non-CAD. A significant negative correlation was found between T-T and SAF (r = -0.45, P < 0.001), and the correlation was stronger in patients with CAD than in patients with non-CAD (non-CAD, r = -0.27, P = 0.003; CAD, r = -0.51, P < 0.001). However, both T-T and SAF had significant associations with triglyceride-glucose index as an insulin resistance marker and cardio-ankle vascular index as an arterial function marker. Multiple regression analysis revealed that both T-T and SAF were selected as independent variables to the presence of CAD as a dependent variable. However, the odds ratio increased due to the merger of two coronary risk markers, low T-T and high SAF (odds ratio: one risk marker: 3.24, 95% confidence interval: 1.01 - 10.50, P = 0.045; two risk markers: 13.22, 95% confidence interval: 3.41 - 39.92, P < 0.001).

Conclusions

The results of this cross-sectional study indicate that T-T and SAF are closely related in CAD patients with T2DM. It also shows that insulin resistance and arterial dysfunction are in the background of both indicators. Additionally, not only are both indicators independent coronary risk markers, but the overlap of both indicators increases their weight as coronary risk markers.

Comprehensive analysis of the association between triglyceride-glucose index and coronary artery disease severity across different glucose metabolism states: a large-scale cross-sectional study from an Asian cohort

BACKGROUND

The triglyceride-glucose (TyG) index is associated with the development and prognosis of coronary artery disease (CAD). However, the impact of the TyG index on CAD severity across different glucose metabolism states exhibits significant disparities in previous research.

METHODS

This cross-sectional study comprised 10,433 participants from a prospective cohort. Participants were categorized into four groups based on glucose metabolism state: normal glucose regulation (NGR), prediabetes (pre-DM), diabetes mellitus (DM) without insulin prescribed (Rx), and DM with insulin Rx. The TyG index was determined by the following formula: Ln [TG (mg/dL) × FPG (mg/dL) / 2], where TG is triglycerides and FPG is fasting plasm glucose. Statistical methods such as binary logistic regression, interaction analysis, restricted cubic spline (RCS), and receiver operating characteristic (ROC) were employed to analyze the relationship between the TyG index and CAD severity across the entire population and glucose metabolism subgroups. Mediation analysis was conducted to examine the mediating effects of glycated hemoglobin (HbA1c) on these relationships. Sensitivity analysis was performed to ensure the robustness of the findings.

RESULTS

Multivariable logistic regression analysis revealed a significant positive association between the TyG index and multi-vessel CAD in the entire population (OR: 1.34; 95% CI: 1.22-1.47 per 1-unit increment). Subgroup analysis demonstrated consistent positive associations in the NGR, pre-DM, and DM non-insulin Rx groups, with the highest OR observed in the NGR group (OR: 1.67; 95% CI: 1.3-2.14 per 1-unit increment). No correlation was found in the DM with insulin Rx subgroup. RCS analyses indicated the distinct dose-response relationships across different glucose metabolism subgroups. Including the TyG index in the established model slightly improved the predictive accuracy, particularly in the NGR group. Mediation analyses showed varying mediating effects of HbA1c among different glucose metabolism subgroups. Sensitivity analysis confirmed the robustness of the aforementioned relationships in the new-onset CAD population and in individuals not using antilipidemic medications.

CONCLUSIONS

The TyG index positively associated with CAD severity across all glucose metabolism states, except for individuals receiving insulin treatment. Moreover, it might serve as a supplementary noninvasive predictor of CAD severity in addition to established factors, especially in NGR patients.

Validity of the Triglyceride-Glucose Indices for Predicting the Severity of Coronary Artery Disease in Patients With Nondiabetic Chronic Coronary Syndrome

BACKGROUND

The triglyceride-glucose (TyG) index was shown to be an independent predictor of coronary artery disease (CAD) progression and prognosis. However, whether the TyG index can predict the severity of CAD in nondiabetic patients with chronic coronary syndrome remains unclear.

METHODS

A total of 118 individuals who underwent elective coronary angiography were classified into group A (59 with coronary lesions) and group B (59 with normal coronary arteries; as a control group) after coronary angiography and laboratory tests for fasting and the postprandial (PP) TyG index. The complexity of CAD was determined by the Synergy Between Percutaneous Coronary Intervention (SYNTAX) score (SYNTAX score >22 indicated moderate-high risk), and patients diagnosed with diabetes or prediabetes were excluded.

RESULTS

The TyG index was not related to the SYNTAX score in groups A and B; however, in the CAD group with an low-density lipoprotein (LDL) concentration <70 mg/dL (group A1), a fasting TyG index ≥8.25 and a PP TyG index ≥11 could predict moderate-high SYNTAX risk score; in addition, the odds ratio (OR) was 4.3× higher and the relative risk (RR) was 1.8× greater (OR = 4.3, RR = 1.8, 95% confidence interval = 1.4-13.5, P < 0.05) for individuals with a higher fasting TyG index ≥8.25 to have a moderate-high SYNTAX risk score. Individuals with a higher PP TyG index ≥11 had OR of 2.6× higher and a RR of 1.4× greater to have moderate-high SYNTAX risk score.

CONCLUSIONS

Both fasting and PP TyG levels were associated with greater coronary anatomical complexity (SYNTAX score >22) in nondiabetic chronic coronary patients with LDL <70 mg/dL. Fasting and the PP TyG indices can serve as noninvasive predictors of CAD complexity in nondiabetic patients with LDL <70 mg/dL and could change the management and therapeutic approaches.

Triglyceride-glucose index and health outcomes: an umbrella review of systematic reviews with meta-analyses of observational studies

BACKGROUND

Numerous meta-analyses have explored the association between the triglyceride-glucose (TyG) index and diverse health outcomes, yet the comprehensive assessment of the scope, validity, and quality of this evidence remains incomplete. Our aim was to systematically review and synthesise existing meta-analyses of TyG index and health outcomes and to assess the quality of the evidence.

METHODS

A thorough search of PubMed, EMBASE, and Web of Science databases was conducted from their inception through to 8 April 2024. We assessed the quality of reviews using A Measurement Tool to Assess Systematic Reviews (AMSTAR) and the certainty of the evidence using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system. This study was registered with PROSPERO (CRD: 42024518587).

RESULTS

Overall, a total of 95 associations from 29 meta-analyses were included, investigating associations between TyG index and 30 health outcomes. Of these, 83 (87.4%) associations were statistically significant (P < 0.05) according to the random effects model. Based on the AMSTAR tool, 16 (55.2%) meta-analyses were high quality and none was low quality. The certainty of the evidence, assessed by the GRADE framework, showed that 6 (6.3%) associations were supported by moderate-quality evidence. When compared with the lowest category of the TyG index, the risk of contrast-induced nephropathy (CIN) [relative risk (RR) = 2.25, 95%CI 1.82, 2.77], the risk of stroke in patients with diabetes mellitus (RR = 1.26, 95%CI 1.18, 1.33) or with acute coronary syndrome disease (RR = 1.56, 95%CI 1.06, 2.28), the prognosis of coronary artery disease (CAD)-non-fatal MI (RR = 2.02, 95%CI 1.32, 3.10), and the severity of CAD including coronary artery stenosis (RR = 3.49, 95%CI 1.71, 7.12) and multi-vessel CAD (RR = 2.33, 95%CI 1.59, 3.42) increased with high TyG index.

CONCLUSION

We found that the TyG index was positively associated with many diseases including the risk of CIN and stroke, the prognosis of CAD, and the severity of CAD which were supported by moderate-quality evidence. TyG index might be useful to identify people at high-risk for developing these diseases.

Usefulness of triglyceride-glucose index and homeostatic model assessment for predicting coronary microvascular dysfunction

BACKGROUND

Coronary microvascular dysfunction (CMD) is a common occurrence in individuals with insulin resistance (IR). Homeostatic model assessment for insulin resistance (HOMA-IR) is a widely used surrogate marker of IR, although recent studies suggest Triglyceride-Glucose (TyG) index is a superior marker of IR that had a better accuracy to predict Type 2 Diabetes or cardiovascular outcomes than HOMA-IR.

OBJECTIVES

We aimed to assess the accuracy and usefulness of TyG index and HOMA-IR for predicting CMD as assessed with echocardiographic coronary flow reserve (CFR) measurement.

METHODS

All cases included in the institutional CFR registry were retrospectively reviewed, and 656 cases without epicardial coronary artery disease and without major risk factors for atherosclerosis were included. A CFR ≤2.0 was defined as CMD.

RESULTS

TyG index was available in all cases, while HOMA-IR was available in 398 cases. Both TyG index and HOMA-IR were associated with CMD on univariate analyses, while after adjustment for potential confounders HOMA-IR (OR:1.38, 95 %CI:1.14-1.67, p = 0.001) but not TyG index(OR:1.48, 95 %CI:0.82-2.67, p = 0.19) was associated with CMD. The predictive accuracy of HOMA-IR (c-statistic:0.63, 95 %CI:0.54-0.72, p = 0.003) was higher than TyG index(c-statistic:0.55, 95 %CI:0.47-0.63, p = 0.13), although the difference was not statistically significant (DeLong p = 0.23). There was strong evidence favoring a true difference between CMD vs. non-CMD groups for HOMA-IR (BF10:3507) but not for TyG index(BF10:0.66).

CONCLUSIONS

HOMA-IR, but not TyG index, is closely associated with CMD.

The association between triglyceride-glucose index and the likelihood of cardiovascular disease in the U.S. population of older adults aged ≥ 60 years: a population-based study

BACKGROUND

The association between the triglyceride-glucose (TyG) index and the likelihood of developing cardiovascular disease (CVD) in the general elderly population in the United States aged 60 and above is not well understood. The objective of our study was to examine the relationship between the TyG index and CVD likelihood in the general elderly population over 60 years of age in the United States.

METHODS

Data for this cross-sectional study were sourced from the 2003-2018 National Health and Nutrition Examination Survey. Weighted multivariable regression analysis and subgroup analysis were conducted to estimate the independent relationship between the TyG index and the likelihood of CVD. Non-linear correlations were explored using restricted cubic splines.

RESULTS

A total of 6502 participants were included, with a mean TyG index of 8.75 ± 0.01. The average prevalence of CVD was 24.31% overall. Participants in the higher TyG quartiles showed high rates of CVD (Quartile 1: 19.91%; Quartile 2: 21.65%; Quartile 3: 23.82%; Quartile 4: 32.43%). For CVD, a possible association between the TyG index and the odds of CVD was observed. Our findings suggest a nonlinear association between the TyG index and the odds of CVD. The threshold of 8.73 for the likelihood of CVD. Interaction terms were employed to assess heterogeneities among each subgroup, revealing a significant difference specifically in alcohol consumption. This suggests that the positive association between the TyG index and the likelihood of CVD is dependent on the drinking status of the participants.

CONCLUSION

A higher TyG index is linked to an increased likelihood of CVD in US adults aged ≥ 60 years. TyG index is anticipated to emerge as a more effective metric for identifying populations at early likelihood of CVD.

Prognostic value of triglyceride-glucose index for left ventricular remodeling in nondiabetic ST-elevation myocardial infarction patients

Background: The triglyceride-glucose (TyG) index is a marker of insulin resistance and is associated with cardiovascular mortality and morbidity. Left ventricular remodeling (LVR) after myocardial infarction (STEMI) is associated with poor prognosis. Methods: This retrospective study included 293 STEMI patients. Echocardiography was performed before discharge and 3 months after MI. Results: Compared with the non-LVR group, TyG index value was found to be higher in the LVR group (p < 0.001). Logistic regression analysis showed that higher maximal troponin I value, higher calculated TyG index value, higher N-terminal prohormone of brain natriuretic peptide level and the presence of anterior MI were independently associated with the development of LVR. Conclusion: A high TyG index level may contribute to the prediction of LVR in nondiabetic STEMI patients undergoing successful primary percutaneous coronary intervention.

Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity

Stenosis severity may escalate over the course of coronary artery disease (CAD), increasing the risk of death for the patient. Conventionally, the assessment of stenosis degree relies on invasive coronary angiography (ICA), an invasive examination unsuitable for patients in poor physical condition or those with contrast allergies and one that imposes a psychological burden on patients. Although abnormal serum N-glycan profiles have exhibited robust associations with various cardiovascular diseases, including CAD, their potential in diagnosing CAD stenosis remains to be determined. In this study, we performed a comprehensive analysis of serum N-glycome from 132 patients who underwent ICA and 27 healthy controls using MALDI-TOF-mass spectrometry. The patients who underwent ICA examination were categorized into four groups based on stenosis severity: no/mild/moderate/severe stenosis. Twenty-seven N-glycans were directly quantified, and 47 derived glycan traits were obtained. Notably, among these 74 glycan features, 18 exhibited variations across the study groups. Using a combination of least absolute shrinkage and selection operator and logistic regression analyses, we developed five diagnostic models for recognizing stenosis degree. Our results suggested that alterations in serum N-glycosylation modifications might be valuable for identifying stenosis degree and monitoring disease progression in individuals with CAD. It is expected to offer a noninvasive alternative for those who could not undergo ICA because of various reasons. However, the diagnostic potential of serum N-glycan panels as biomarkers requires multicenter, large cohort validation in the future.

Association between the triglyceride glucose index and chronic total coronary occlusion: A cross-sectional study from southwest China

BACKGROUND AND AIM

Insulin resistance (IR) plays an important role in the atherosclerotic process, and the triglyceride glucose (TyG) index is a reliable indicator of IR and is strongly associated with cardiovascular disease. However, there are few studies regarding the relationship between the TyG index and chronic total coronary occlusion (CTO). Herein, the correlation between the TyG index and CTO, as well as their interactions with other traditional cardiovascular risk factors, were investigated.

METHODS AND RESULTS

We enrolled 2691 patients who underwent coronary angiography at Guangyuan Central Hospital from January 2019 to October 2021. TyG index results were used to create three groups using the trichotomous method. CTO was defined as complete occlusion of the coronary artery for ≥3 months. Univariate and multivariate logistic regression models, restricted cubic splines, receiver operating characteristic (ROC) curves, and subgroup analyses was performed. A significant correlation between the TyG index and CTO was noted. The risk of CTO was increased 2.09-fold in the group with the highest TyG compared with the lowest (OR, 2.09; 95 % CI, 1.05-4.17; P = 0.036). In addition, there was a linear dose-response relationship between the TyG index and CTO (nonlinear P = 0.614). The area under the ROC curve was 0.643 (95 % CI, 0.572-0.654). Using subgroup analyses, we observed that the TyG index was associated with a significantly higher risk of CTO in males and smokers.

CONCLUSIONS

An elevated TyG index was related to the risk of CTO and may constitute a meaningful predictor of CTO, particularly in males and in smokers.

Association of the triglyceride-glucose index with severity of coronary stenosis and in-hospital mortality in patients with acute ST elevation myocardial infarction after percutaneous coronary intervention: a multicentre retrospective analysis cohort study

OBJECTIVES

To explore the impact of the triglyceride-glucose (TyG) index on the severity of coronary stenosis and the risk of in-hospital mortality in patients with acute ST segment elevation myocardial infarction (STEMI) after percutaneous coronary intervention (PCI).

DESIGN

A multicentre retrospective cohort study.

SETTING

Patients with STEMI undergoing PCI from three centres in China from 2015 to 2019.

PARTICIPANTS

A total of 1491 individuals presenting with STEMI were enrolled.

PRIMARY OUTCOME MEASURE

The degree of coronary stenosis was quantified by the Gensini score (GS). The association between the TyG index and the severity of coronary stenosis was explored by using a logistic regression analysis. Cox proportional hazards regression analyses were used to investigate the associations between the variables and in-hospital mortality.

RESULTS

We found a significant correlation between the TyG index and the degree of coronary stenosis in the present study. The TyG index was an independent risk factor for the severity of coronary stenosis (OR 2.003, p<0.001). Using the lowest tertile of the TyG (T1) group as a reference, the adjusted ORs for the T2 group and the T3 group and a high GS were 1.732 (p<0.001), 1.968 (p<0.001), respectively, and all p for trend <0.001. For predicting a high GS, the TyG index's area under the curve was 0.668 (95% CI 0.635 to 0.700, p<0.001). Additionally, the TyG index was further demonstrated to be an independent predictor of in-hospital mortality in patients with STEMI (HR 1.525, p<0.001).

CONCLUSIONS

The TyG index was associated with the severity of coronary stenosis and all-cause in-hospital mortality in patients with STEMI, which may help physicians precisely risk-stratify patients and implement individualised treatment.

Association between higher triglyceride glucose index and increased risk of osteoarthritis: data from NHANES 2015-2020

BACKGROUND

The relationship between the triglyceride glucose (TyG) index and osteoarthritis (OA) remains unclear. The objective of this study was to examine potential associations between an elevated TyG index and an increased risk of OA prevalence.

METHODS

3,921 participants with OA from the National Health and Nutrition Examination Survey (2015-2020) were included in this study. Participants were categorized into quartiles based on TyG index, which was determined using the formula: Ln [triglyceride (mg/dL) fasting blood glucose (mg/dL)/2]. Weighted multivariable regression, subgroup analyses, and threshold effect analyses were performed to calculate the independent association between TyG index and OA.

RESULTS

A total of 25,514 people were enrolled, with a mean TyG index of 8.48 ± 0.65. The results of multivariable logistic regression analysis after full adjustment showed a significant association between higher TyG index values and an increased risk of OA. Specifically, each incremental unit increase in the TyG index was associated with a 634% higher risk of OA [OR = 7.34; 95% CI: 2.25, 23.93; p = 0.0010]. Based on interaction tests, age, gender, BMI, and smoking status did not significantly affect the relationship between the TyG index and OA, while diabetes showed a stronger positive correlation between the TyG index and OA.

CONCLUSION

An increased risk of OA was associated with a higher TyG index. TyG could be a valuable predictor of OA and offer novel perspectives on the assessment and treatment of OA.

Predicting the risk of subclinical atherosclerosis based on interpretable machine models in a Chinese T2DM population

Background

Cardiovascular disease (CVD) has emerged as a global public health concern. Identifying and preventing subclinical atherosclerosis (SCAS), an early indicator of CVD, is critical for improving cardiovascular outcomes. This study aimed to construct interpretable machine learning models for predicting SCAS risk in type 2 diabetes mellitus (T2DM) patients.

Methods

This study included 3084 T2DM individuals who received health care at Zhenhai Lianhua Hospital, Ningbo, China, from January 2018 to December 2022. The least absolute shrinkage and selection operator combined with random forest-recursive feature elimination were used to screen for characteristic variables. Linear discriminant analysis, logistic regression, Naive Bayes, random forest, support vector machine, and extreme gradient boosting were employed in constructing risk prediction models for SCAS in T2DM patients. The area under the receiver operating characteristic curve (AUC) was employed to assess the predictive capacity of the model through 10-fold cross-validation. Additionally, the SHapley Additive exPlanations were utilized to interpret the best-performing model.

Results

The percentage of SCAS was 38.46% (n=1186) in the study population. Fourteen variables, including age, white blood cell count, and basophil count, were identified as independent risk factors for SCAS. Nine predictors, including age, albumin, and total protein, were screened for the construction of risk prediction models. After validation, the random forest model exhibited the best clinical predictive value in the training set with an AUC of 0.729 (95% CI: 0.709-0.749), and it also demonstrated good predictive value in the internal validation set [AUC: 0.715 (95% CI: 0.688-0.742)]. The model interpretation revealed that age, albumin, total protein, total cholesterol, and serum creatinine were the top five variables contributing to the prediction model.

Conclusion

The construction of SCAS risk models based on the Chinese T2DM population contributes to its early prevention and intervention, which would reduce the incidence of adverse cardiovascular prognostic events.

MTBE exposure may increase the risk of insulin resistance in male gas station workers

Insulin resistance is closely related to many metabolic diseases and has become a serious public health problem worldwide. So, it is crucial to find its environmental pathogenic factors. Methyl tert-butyl ether (MTBE), a widely used unleaded gasoline additive, has been proven to affect glycolipid metabolism. However, results from population studies are lacking. For this purpose, the potential relationships between MTBE exposure and the triglyceride glucose (TyG) index, a useful surrogate marker of insulin resistance, were evaluated using a small-scale occupational population. In this study, 201 participants including occupational and non-occupational MTBE exposure workers were recruited from the Occupational Disease Prevention and Control Hospital of Huaibei, and their health examination information and blood samples with informed consent were collected. The internal exposure levels were assessed by detecting blood MTBE using solid-phase-micro-extraction gas chromatography-mass spectrometry. Then the adjusted linear regression model was used to assess the relationship between MTBE exposure and fasting plasma glucose (FPG), or TyG index. Then, receiver-operating-characteristic (ROC) curves were performed to calculate the optimal cut-off points. Multivariable and hierarchical logistic regression models were used to analyze the impact of MTBE exposure on the risk of insulin resistance. Obvious correlations were observed between blood MTBE levels with TyG index (p = 0.016) and FPG (p = 0.001). Further analysis showed that using the mean of the TyG index (8.77) as a cutoff value had a good effect on reflecting the risk of insulin resistance. Multivariable logistic regression analysis also indicated that MTBE exposure was an independent risk factor for a high TyG index (OR = 1.088, p = 0.038), which indicated that MTBE exposure might be a new environmental pathogenic factor leading to insulin resistance, and MTBE exposure might increase the risk of insulin resistance by independently elevating the TyG index in male gas station workers.

Associations of the triglyceride-glucose index and remnant cholesterol with coronary artery disease: a retrospective study

BACKGROUND

Remnant cholesterol (RC) represents a low-cost and readily measured lipid index that contributes significantly to residual cardiovascular disease risk. The triglyceride-glucose (TyG) index exhibits a significant correlation with cardiovascular disease occurrence. However, RC and the TyG index have rarely been examined for their potentials in predicting coronary artery disease (CAD). Accordingly, the study was designed to validate the correlations of these two biomarkers with CAD and to compare the forecasted values of these two biomarkers for newly diagnosed CAD.

METHODS

Totally 570 subjects firstly administered coronary angiography were enrolled, including 431 newly diagnosed CAD cases and 139 individuals without CAD. The individuals were classified into two groups according to CAD diagnosis. RC was derived as total cholesterol content (mmol/L) - (high density lipoprotein cholesterol content + low density lipoprotein cholesterol content; both in mmol/L). The TyG index was determined as ln (fasting triglyceride level [mg/dL] × fasting plasma glucose level [mg/dL])/2.

RESULTS

Baseline feature analysis revealed significant differences in RC and the TyG index between the CAD and non-CAD groups (both P < 0.001). RC and the TyG index were independent risk factors for CAD in accordance with logistic regression analysis (both P < 0.05). Moreover, spearman correlation analysis elucidated CAD had a more remarkable correlation with the TyG index compared with RC (both P < 0.001). Furthermore, according to receiver operating characteristic curve analysis, the TyG index was better than RC in predicting CAD.

CONCLUSIONS

The TyG index and RC have significant associations with CAD. Compared with RC, the TyG index possesses a closer correlation with CAD and a higher predictive value for CAD.

Relationship between TyG index and the degree of coronary artery lesions in patients with H-type hypertension

BACKGROUND

The TyG index, a prominent metric for assessing insulin resistance, has gained traction as a prognostic tool for cardiovascular disease. Nevertheless, the understanding of the prognostic significance of the extent of coronary artery stenosis in individuals afflicted with H-type hypertension remains limited.

METHODS

A retrospective study was conducted at Wuhan Third Hospital, including a cohort of 320 inpatients who were diagnosed with hypertension in combination with coronary artery disease. The study period spanned from January 1, 2021, to February 1, 2023. The study cohort was stratified based on the severity of stenosis into three distinct groups: low stenosis, medium stenosis, and high stenosis, as determined by the Gensini score derived from coronary angiography findings. The present study aimed to investigate the association between the severity of coronary stenosis and the number of lesion branches, utilizing the TyG index as a testing indicator. The predictive ability of TyG for coronary lesion severity was assessed using logistic regression analysis.

RESULTS

The results of our study indicate a positive correlation between elevated levels of TyG and an increased susceptibility to severe stenosis in individuals diagnosed with H-type hypertension. Upon careful consideration of potential confounding variables, it has been observed that the TyG index exhibits a robust association with the likelihood of severe stenosis in individuals with H-type hypertension (odds ratio [OR] = 4000, 95% confidence interval CI 2.411-6.635, p = 0.0001), as well as the prevalence of multivessel disease (OR = 1.862, 95% CI 1.036-3.348, p < 0.0001). The TyG index demonstrated superior predictive ability for severe coronary stenosis in patients with H-type hypertension compared to those without H-type hypertension (area under the curve [AUC] = 0.888, 95% confidence interval CI 0.838-0.939, p < 0.0001, versus AUC = 0.615, 95% CI 0.494-0.737, p < 0.05).

CONCLUSION

The TyG index is an independent risk factor for the degree of coronary stenosis and a better predictor in patients with H-type hypertension combined with coronary artery disease.

Prognostic value of triglyceride-glucose index in patients with chronic coronary syndrome undergoing percutaneous coronary intervention

BACKGROUND

The triglyceride-glucose (TyG) index has been proposed as a reliable surrogate marker of insulin resistance and an independent predictor of major adverse cardiovascular events (MACEs). Several recent studies have shown the relationship between the TyG index and cardiovascular outcomes; however, the role of the TyG index in chronic coronary syndrome (CCS) progression has not been extensively assessed especially in population after revascularization. This study aimed to investigate the prognostic value of the TyG index in predicting MACEs in CCS patients undergoing percutaneous coronary intervention (PCI).

METHODS

The data for the study were taken from the Hospital Information System database in China-Japan Friendship Hospital over the period 2019-2021. Eligible participants were divided into groups according to the TyG index tertiles. The Boruta algorithm was performed for feature selection. Multivariate Cox proportional hazards models and restricted cubic spline (RCS) analysis were applied to examine the dose-response relationship between the TyG index and endpoint, and the results were expressed with hazard ratio (HR) and 95% confidence interval (CI) values. The area under the receiver operating characteristic (ROC) curve (AUC), decision curve analysis (DCA), and clinical impact curve (CIC) were plotted to comprehensively evaluate the predictive accuracy and clinical value of the model. The goodness-of-fit of models was evaluated using the calibration curve and χ2 likelihood ratio test.

RESULTS

After applying inclusion and exclusion criteria, 1353 patients with CCS undergoing PCI were enrolled in the study. After adjusting for all confounders, we found that those with the highest TyG index had a 59.5% increased risk of MACEs over the 1-year follow-up (HR 1.595, 95% CI 1.370 ~ 1.855). Using the lowest TyG index tertile as the reference (T1), the fully adjusted HRs (95% CIs) for endpoints was 1.343 (1.054 ~ 1.711) in the middle (T2) and 2.297 (1.842 ~ 2.864) in highest tertile (T3) (P for trend < 0.001). The TyG index had an excellent predictive performance according to the results of AUC 0.810 (0.786, 0.834) and χ2 likelihood ratio test (χ2 = 7.474, P = 0.486). DCA and CIC analysis also suggested a good overall net benefit and clinical impact of the multivariate model. The results in the subgroup analysis were consistent with the main analyses. RCS model demonstrated that the TyG index was nonlinearly associated with the risk of MACEs within one year (P for nonlinear < 0.001).

CONCLUSION

The elevated TyG index is associated with an increased risk of cardiovascular events and predicts future MACEs in patients with CCS undergoing PCI independently of known cardiovascular risk factors, indicating that the TyG index may be a potential marker for risk stratification and prognosis in CCS patients undergoing PCI.

Association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study

BACKGROUND

The impact of triglyceride-glucose (TyG) index, a surrogate marker for insulin resistance, on the risk of cardiovascular disease (CVD) in general populations remains controversial. We aimed to comprehensively study the relationship between TyG index with the risk of incident CVD events in the general population in Shanghai.

METHODS

A total of 42,651 participants without previous history of CVD events from Shanghai Suburban Adult Cohort and Biobank (SSACB) were included. SSACB was a community-based natural population cohort study using multistage cluster sampling method. TyG index was calculated as Ln [fasting serum triglyceride (mg/dL) * fasting blood glucose (mg/dL)/2]. Kaplan-Meier curves, log-rank test and cox proportional hazards model were used to calculate the association between TyG index and incident CVD, including stroke and coronary heart disease (CHD). Restricted cubic spline analyses were used to determine whether there was a non-linear relationship between TyG index and CVD events.

RESULTS

During a median follow-up of 4.7 years, 1,422 (3.3%) individuals developed CVD, including 674 (1.6%) cases of stroke and 732 (1.7%) cases of CHD. A one unit increment higher TyG index was associated with [HR(95%CI)] 1.16(1.04-1.29) in CVD and with 1.39(1.19-1.61) in stroke. Only linear relationships between TyG and CVD/stroke were observed, while no relationship was observed with CHD after adjustments for confounders. In subgroup analyses, younger (< 50y) and diabetic participants had higher risk of CVD than their counterpart groups, while hypertensive and dyslipidemic participants depicted lower risks than their counterparts.

CONCLUSION

Elevated TyG index was associated with a higher risk of incident CVD and stroke. TyG index may help in the early stage of identifying people at high risk of CVD.

Effect and mechanism of HMG-CoA reductase inhibitor on the improvement of elderly essential hypertension-induced vascular endothelial function impairment based on the JAK/STAT pathway

OBJECTIVE

Our research was designed to figure out the influence and mechanism of 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitor on the improvement of elderly essential hypertension-induced vascular endothelial function impairment based on the JAK/STAT pathway.

METHODS

Eighty-six elderly patients with essential hypertension were randomized into a control group (oral Amlodipine Besylate Tablets) and an observation group (oral Amlodipine Besylate Tablets + HMG-CoA reductase inhibitor atorvastatin calcium). Patients in both groups were treated with the drug for 12 weeks. Blood pressure, serum levels of inflammatory factors, and vascular endothelial function indicators, and levels of blood lipids were measured. The modeled rats were treated with atorvastatin calcium and a JAK/STAT pathway inhibitor (AG490), and the levels of cardiac function-related indices, left ventricular mass index, lipid levels, serum inflammatory factors and vascular endothelial function-related indices were detected in each group.

RESULTS

HMG-CoA reductase inhibitor improved blood pressure levels, lipid levels, serum inflammatory factor levels and cardiac function in elderly patients with essential hypertension. Both HMG-CoA reductase inhibitor and AG490 improved blood pressure levels, lipid levels, serum inflammatory factor levels and cardiac function in SHR rats. Both HMG-CoA reductase inhibitor and AG490 decreased p-JAK2/JAK2 and p-STAT3/STAT3 expression levels.

CONCLUSION

Our study demonstrates that HMG-CoA reductase inhibitor improves elderly essential hypertension-induced vascular endothelial function impairment by blocking the JAK/STAT pathway.

Construction and validation of a clinical prediction model for asymptomatic obstructive coronary stenosis in patients with carotid stenosis

Background

Coronary artery stenosis occurs frequently in patients with carotid artery stenosis. We developed a clinical predictive model to investigate the clinical risk of asymptomatic obstructive coronary artery stenosis in patients with carotid artery stenosis ≥ 50%.

Methods

From January 2018 to January 2022, carotid stenosis patients hospitalized at the First Affiliated Hospital of Zhengzhou University's Department of Endovascular Surgery were subjected to a retrospective analysis of their clinical information and imaging results. Excluded criteria were patients with lacking data, symptomatic coronary stenosis, prior coronary artery bypass grafting, and coronary stent implantation. Patients were separated into case and control groups according to whether or not they had obstructive coronary stenosis. Independent predictors were screened using univariate and multivariate logistic regression, and their accuracy was confirmed using least absolute shrinkage and selection operator (LASSO) regression. A Nomogram prediction model was developed using the aforementioned filtered factors. The model's discrimination and specificity were evaluated using the receiver operating characteristic curve (ROC) and Hosmer-Lemeshow goodness-of-fit test. Internal validation employed the Bootstrap procedure. The clinical decision curve analysis (DCA) of the prediction model was developed to assess the clinical applicability of the model.

Results

The investigation included a total of 227 patients, of whom 132 (58.1%) had coronary artery stenosis. Hypertension, Grade I plaque, HbA1c ≥ 7.0%, MPV ≥ 9.2fl, and Fib ≥ 3.0 g/L were independent predictors, with OR values of (2.506, 0.219, 0.457, 1.876, 2.005), according to multivariate logistic regression. Risk factor screening and validation using lasso regression. The predictors chosen based on the optimal λ value are consistent with the predictors identified by multiple regression. The area under the ROC curve (AUC) of the model based on the above predictors was 0.701 (0.633-0.770), indicating that the model discriminated well. The calibration curve of the model closely matched the actual curve, and P > 0.05 in the Hosmer-Lemeshow goodness-of-fit test indicated the model's accuracy. The results of the DCA curve demonstrate the clinical applicability of the prediction model.

Conclusion

Hypertension, grade I plaque, HbA1c ≥ 7.0%, MPV ≥ 9.2 fl, and Fib ≥ 3.0 g/L are predictors of asymptomatic coronary stenosis in patients with carotid stenosis ≥50%. The diagnostic model is clinically applicable and useful for identifying patients at high risk.

Improvement of microvascular complications in STZ-diabetic rats treated with Pterocarpus erinaceus Poir. extract

Pterocarpus erinaceus Poir. from Fabaceae family is a medicinal plant traditionally used in decoction or infusion to treat diabetes mellitus. Although this plant is used in treating diabetes, studies on the effectiveness of its stem bark on the complications induced by chronic hyperglycemia have not been thoroughly addressed. Thus, this study was conducted to prove the efficacy of hydroethanolic extract of stem bark of P. erinaceus on type 2 diabetes and its complications, such as renal fibrosis and retinopathy in rats. STZ diabetics. The dry extract of P. erinaceus stem bark was obtained following the hydroethanolic extraction (v/v). Diabetes was induced with streptozocin in SD rats pretreated with fructose-lard for 20 days. Then, the serum and urinary biochemical parameters were evaluated at the start and the end of the treatment. Rats with blood glucose ≥350 mg/dL and significant proteinuria were selected and treated with P. erinaceus stem bark extract and glibenclamide for 3 weeks. A complete blood count and a histopathological examination of the retina and kidneys were performed at the end of the 41st day of treatment. The results showed that P. erinaceus extract at a dose of 500 mg/kg bw and glibenclamide at a dose of 0.6 mg/kg bw caused a significant decrease (p < 0.0001) in basal blood glucose in STZ diabetic rats during treatment and improved oral glucose intolerance. At the end of the experiment, the treated rats showed a normalization in body weight, food and water consumption. Evaluating of biochemical parameters showed a significant (p < 0.001) decrease in total cholesterol, LDL-C, triglycerides, TG/HDL-C ratio, CPK and oxidative stress in treated rats. No retinal and kidney abnormalities were observed on histological sections in rats treated with plant extract and glibenclamide. In contrast, macular edema and renal fibrosis were observed in the diabetic control group. The findings showed that extract at a dose of 500 mg/kg bw improves oral glucose intolerance, and inhibits lipid deposition and retinal and renal fibrosis. Therefore, the plant extract could be exploited in the production of herbal medicines to manage diabetes and its complications.

Insulin resistance surrogate markers and risk of hyperuricemia among patients with and without coronary artery disease: a cross-sectional study

Background

Although emerging evidence emphasizes the associations between both insulin resistance and hyperuricemia with coronary artery disease (CAD) risk, no definite relationship has yet been established. In this respect, time-efficient and affordable methods to estimate insulin resistance (IR) status, and to predict risk of hyperuricemia, are needed. Thus, the goal of this investigation was to examine the associations between IR, as assessed by novel surrogate markers [triglyceride-glucose (TyG) and TyG-body mass index (TyG-BMI)], and risk of hyperuricemia in patients with and without diagnosed CAD.

Methods

This cross-sectional study used data from the medical records of 1,170 patients who were referred to the cardiology outpatient clinic. Medical records, anthropometrics, and serum analytes were determined at the initial visit. Hyperuricemia was defined as serum uric acid ≥ 5.6 mg/dL. IR was estimated through surrogate markers (TyG and TyG-BMI). Multiple regression analysis was performed to assess the relationship between these indices and odds of hyperuricemia among patients with and without CAD.

Results

Overall, 814 angiographically-confirmed CAD cases (mean age (SD) = 52 (8)yrs) were compared with 356 patients without CAD (mean age (SD) = 48 (8)yr). There were positive associations between TyG and TyG-BMI indices and odds of hyperuricemia in CAD patients after controlling for confounders (adjusted odds ratio (aOR) = 1.60; 95%CI: 1.02-2.51; p-value = 0.036; and aOR = 1.83; 95%CI: 1.24-2.70; p-value = 0.002, third tertiles for TYG and TYG-BMI, respectively).

Conclusion

The present findings suggest that higher levels of the IR surrogate markers, TyG and TyG-BMI, are associated with higher odds of hyperuricemia in patients with CAD. However, given the cross-sectional design of this study, the sensitivity and specificity of these novel markers could not be determined for confirming the diagnosis of IR and hyperuricemia, further studies are needed to determine such outcomes and to confirm the current findings.

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.

Prevalence estimates of the insulin resistance and associated prevalence of heart failure among United Status adults

BACKGROUND

The triglyceride glucose (TyG) index, a metric for estimating insulin resistance (IR), is linked with cardiovascular disease (CVD) morbidity and mortality among the population regardless of diabetic status. However, IR prevalence and the association between the TyG index and heart failure (HF) in Americans is unclear.

METHODS

The Nation Health and Nutrition Examination Survey (NHANES) (2009-2018) dataset was used. IR was defined by homeostatic model assessment of insulin resistance (HOMA-IR) > 2.0 and 1.5. The TyG index was calculated as Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. A weighted logistic regression was applied to evaluate the association between the TyG index and the prevalence of HF.

RESULTS

This study comprised 12,388 people, including 322 (2.6%) individuals with HF. The average prevalence of IR was found to be 13.9% and 22.7% for cutoff values greater than 2.0 and 1.5, respectively. HOMA-IR and the TyG index showed a moderate correlation (r = 0.30). There is a significant positive association between the TyG index and HF prevalence (per 1-unit increment; adjusted OR [aOR]: 1.34; 95% confidence interval [CI]: 1.02-1.76). Patients with higher TyG values were associated with a prevalence of HF (OR:1.41; 95% CI: 1.01,1.95) (quartiles 4 vs 1-3). The TyG index is associated with a higher prevalence of dyslipidemia, coronary heart disease, and hypertension but not a stroke (cerebrovascular disease).

CONCLUSIONS

Our results show that IR does not considerably increase from 2008 to 2018 in American adults. A moderate correlation is noted between HOMA-IR and the TyG index. TyG index is associated with the prevalence of HF, as were other cardiovascular diseases.

Association of the triglyceride-glucose index with subclinical left ventricular dysfunction in type 2 diabetes mellitus patients: A retrospective cross-sectional study

AIMS/INTRODUCTION

The triglyceride-glucose (TyG) index is a simple and reliable indicator of insulin resistance, and is associated with the development and poor outcomes of cardiovascular disease. Subclinical left ventricular dysfunction (SLVD) is frequently detected in approximately one-third of diabetes patients, but it has not been established whether the TyG index correlates with SLVD. We carried out this research to evaluate the relationship between the TyG index and SLVD in type 2 diabetes mellitus patients.

MATERIALS AND METHODS

This was a cross-sectional and observational study of 183 type 2 diabetes mellitus inpatients at Nanjing Drum Tower Hospital, Nanjing, China. The TyG index and homeostasis model assessment 2 estimates for insulin resistance (HOMA2-IR) were calculated from biochemical measurements, and speckle-tracking echocardiography was carried out. According to global longitudinal strain (GLS) by echocardiography, participants were categorized into the SLVD (GLS <18%) group or the non-SLVD (GLS ≥18%) group.

RESULTS

In comparison with non-SLVD participants, SLVD participants had higher insulin resistance, as reflected by elevated TyG and HOMA2-IR indices, as well as a higher body mass index, waist circumference and triglyceride level (P < 0.05 for each). When grouped by TyG index tertiles, an elevated TyG index was correlated with other cardiometabolic risk factors, as well as a decrease in GLS. In the multivariate logistic regression analyses, the TyG index was an independent risk factor for SLVD in type 2 diabetes mellitus patients (odds ratio 2.047, 95% confidence interval 1.07-3.914, P  = 0.03), whereas HOMA2-IR was not.

CONCLUSIONS

The TyG index is independently associated with SLVD in type 2 diabetes mellitus patients and is a more reliable indicator of SLVD than HOMA2-IR.

A high triglyceride-glucose index associated with adverse cardiovascular events in patients with type 2 diabetes mellitus and chronic total occlusion after percutaneous coronary intervention

Triglyceride-glucose index (TyG index) is a reliable surrogate marker of insulin resistance, associated with morbidity and prognosis of cardiovascular disease. However, its predictive value for cardiovascular events in patients with type 2 diabetes mellitus (T2DM) and chronic total occlusion (CTO) after percutaneous coronary intervention (PCI) has not been studied. Here, we retrospectively enrolled 681 patients with T2DM and CTO after PCI. Patients were divided into two groups based on a median TyG index of 9.02. The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The primary observational end point was the composite of overall death, nonfatal myocardial infarction, and unplanned revascularization. The Multivariate Cox hazards regression analysis showed that the TyG index was significantly correlated with the primary end point (hazard ratio = 1.699, 95% confidence interval 1.254-2.303, p = 0.001). The addition of TyG to a baseline risk model had an incremental effect on the predictive value for the primary end point (area under the curve: TyG index vs baseline model, 0.693 vs 0.663, comparison p = 0.040; integrated discrimination improvement = 0.049, p = 0.020). The TyG index might be a predictor of adverse cardiovascular events. Moreover, adding the TyG index into a baseline risk model had a cumulative effect on the predictive potential for the primary end point.

Triglyceride-glucose index for the detection of subclinical heart failure with preserved ejection fraction in patients with type 2 diabetes

Objectives

The triglyceride-glucose (TyG) index has been identified as a reliable and simple surrogate of insulin resistance. In this study, we sought to determine the association between TyG index and cardiac function among asymptomatic individuals with type 2 diabetes (T2DM) without history of any cardiovascular disease.

Materials and methods

The cross-sectional study enrolled 180 T2DM patients without cardiac symptoms. Heart failure with preserved ejection fraction (HFpEF) was defined as Heart Failure Association (HFA)-PEFF score ≥ 5 points.

Results

A total of 38 (21.1%) diabetic patients were identified with HFpEF. Compared with the low-TyG group (TyG index <9.47), patients in high-TyG group (TyG index ≥9.47) showed increased risk of metabolic syndrome and diastolic dysfunction (p < 0.05 for each). Furthermore, after adjustment of confounding variables, the TyG index showed positive correlation with risk factors of metabolic syndrome (including BMI, waist circumference, blood pressure, HbA1c, TG, TC, non-HDL-C, and fasting blood glucose, p < 0.05 for each) and parameters of diastolic dysfunction (E/e' ratio, p < 0.0001) in patients with T2DM. Moreover, Receiver Operating Characteristic curve analysis showed that the TyG index could be better to predict the risk of suspected HFpEF than other indicators (AUC: 0.706, 95% CI: 0.612-0.801). According, on multiple regression analysis, TyG index was independently correlated with the incidence of HFpEF (odds ratio: 0.786, p = 0.0019), indicating that TyG index could be a reliable biomarker to predict the risk of HFpEF.

Conclusion

The TyG index showed a positive correlation with the risk of subclinical HFpEF in patients with T2DM, providing a new marker to predict and treat HFpEF in diabetes.

Associations of serum calcium/magnesium ratios with coronary artery disease in diabetes: a cross-sectional study

OBJECTIVE

The early detection of coronary artery disease (CAD) in diabetes mellitus is a major clinical difficulty. The purpose of this paper is to find out a convenient and economical index to help to screen for patients with CAD in diabetes mellitus.

METHOD

From January 2019 to December 2019, a total of 1028 patients hospitalized in the general department of our hospital have been enrolled in our cross-sectional study, of which 190 were diagnosed with CAD and 314 with diabetes. Differences of various factors between the CAD group and the non-CAD group were analyzed. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) were used to evaluate the efficacy of each factor in predicting CAD. The correlation between calcium/magnesium (Ca/Mg) ratio and the prevalence of CAD in diabetic and non-diabetic people was compared, and the cutoff of Ca/Mg ratio to predict the risk of CAD in diabetic patients was calculated.

RESULTS

Logistic regression analysis showed that serum high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, calcium, magnesium, Ca/Mg ratio, hypertension, diabetes, and smoking history were all associated with CAD. Among them, the AUC value of Ca/Mg ratio was the highest of 0.70. Furthermore, in diabetes patients, the AUC value of Ca/Mg ratio to predict the risk of CAD was 0.72, the cutoff was 2.55, the sensitivity was 77.1%, and the specificity was 53.7%. The prevalence rate of CAD was 18.5% below the cutoff, 46.9% higher than the cutoff, and the prevalence rate increased by 153.5%.

CONCLUSION

The Ca/Mg ratio is a good predictor of the risk of CAD in diabetes, higher than the cutoff, the prevalence rate was significantly increased.PLA IN LANGUAGE SUMMARYCAD brings great pain and burden to patient. However, CAD is asymptomatic in quiet a few cases of type 2 diabetes until myocardial infarction or sudden cardiac death occurs. In this study, we explored the association between CAD and various serum factor. We found that the Ca/Mg ratio is of excellent value in screening CAD, especially in diabetes. Moreover, we found that the cutoff of Ca/Mg ratio was 2.55 in diabetic population and the prevalence rate of CAD was 18.5% below the cutoff, 46.9% higher than the cutoff. The Ca/Mg ratio will provide good prediction of the risk of CAD and make early detection easier in diabetes.

Triglyceride glucose index was linearly associated with abdominal aortic calcification based on NHANES 2013-2014

PURPOSE

To study the relationship between the TyG index and the risk of AAC.

METHODS

We enrolled 1,486 participants from the National Health and Nutrition Examination Survey (NHANES). The TyG index was calculated in the log-transformed of triglycerides multipled by glucose, and the presence of AAC was diagnosed as AAC score above than 0.

RESULTS

Our suggested found that TyG level was positively correlated with the presence of AAC and log-transformed AAC score. After adjusted for other variables, comparing with the lowest quartile of TyG index, the highest quartile of TyG level was significantly associated with the presence of AAC (OR 2.12, 95%CI 1.05-4.35, p = 0.038) and severe AAC (OR 2.12, 95%CI 1.05-4.35, p = 0.038).

CONCLUSIONS

TyG index was significantly associated with the risk of AAC and severe AAC, which could be a marker in clinical practice.

Metabolic syndrome screening in adolescents: New scores AI_METS based on artificial intelligence techniques

BACKGROUND AND AIMS

Metabolic syndrome (MetS) definitions in adolescents based on the percentiles of its components are rather complicated to use in clinical practice. The aim of this study was to test the validity of artificial intelligence (AI)-based scores (AI_METS) that do not use these percentiles for MetS screening for adolescents.

METHODS AND RESULTS

This study included 1086 adolescents aged 12 to 18. The cohort underwent anthropometric measurements and blood tests. Mean blood pressure (MBP), and triglyceride glucose index (TyG) were calculated. Explainable AI methods are used to extract the learned function. Gini importance techniques were tested and used to build new scores for the screening of MetS. IDF, Cook, De Ferranti, Viner, and Weiss definitions of MetS were used to test the validity of these scores. MetS prevalence was 0.4%-4.7% according to these definitions. AI_METS used age, waist circumference, MBP, and TyG index. They offer area under the curves (AUCs) 0.91, 0.93, 0.89, 0.93, and 0.98; specificity 81%, 75%, 72%, 80%, and 97%; and sensitivity 90%, 100%, 90%, 100%, and 100%, respectively, for the detection of MetS according to these definitions. Considering only MBP offers a better specificity and sensitivity to detect MetS than considering only TyG index. MBP offers slightly lower performance than AI_METS.

CONCLUSION

AI techniques have proven their ability to extract knowledge from data. They allowed us to generate new scores for MetS detection in adolescents without using specific percentiles for each component. Although these scores are less intuitive than the percentile-based definition, their accuracy is rather effective for the detection of MetS.

Unsupervised machine learning based on clinical factors for the detection of coronary artery atherosclerosis in type 2 diabetes mellitus

BACKGROUND

Coronary atherosclerosis can lead to serious cardiovascular events. In type 2 diabetes (T2DM) patients, the effects of clinical factors on coronary atherosclerosis have not been fully elucidated. We used a clustering method to distinguish the population heterogeneity of T2DM and the differences in coronary atherosclerosis evaluated on coronary computed tomography angiography (CCTA) among groups and to facilitate clinical management.

METHODS

Clinical data from 1157 T2DM patients with coronary atherosclerosis who underwent CCTA in our hospital from January 2018 to September 2021 were retrospectively collected. The coronary artery segment plaque type and stenosis, the number of involved vessels, the segment involvement score (SIS) and the segment stenosis score (SSS) were evaluated and calculated. Unsupervised clustering analysis based on clinical information was used (cluster 1: n = 463; cluster 2: n = 341; cluster 3: n = 353). The association of coronary plaque characteristics with cluster groups was evaluated.

RESULTS

The clinical data among the three groups were different in several aspects: (1) Cluster 1 had the least male patients (41.7%), the lowest proportion of patients with smoking (0%) or alcohol history (0.9%), and the lowest level of serum creatinine (74.46 ± 22.18 µmol/L); (2) Cluster 2 had the shortest duration of diabetes (7.90 ± 8.20 years) and was less likely to be treated with diabetes (42.2%) or statins (17.6%) and (3) Cluster 3 was the youngest (65.89 ± 10.15 years old) and had the highest proportion of male patients (96.6%), the highest proportion of patients with smoking (91.2%) and alcohol (59.8%) history, the highest level of eGFR (83.81 ± 19.06 ml/min/1.73m²), and the lowest level of HDL-C (1.07 ± 0.28 mmol/L). The CCTA characteristics varied with different clusters: (1) Cluster 1 had the largest number of segments with calcified plaques (2.43 ± 2.46) and the least number of segments with mixed plaques (2.24 ± 2.59) and obstructive stenosis (0.98 ± 2.00); (2) Cluster 1 had the lowest proportion of patients with mixed plaques (68%) and obstructive stenosis (32.2%); (3) Cluster 3 had more segments with noncalcified plaques than cluster 1 (0.63 ± 1.02 vs 0.40 ± 0.78, P < 0.05) and the highest proportion of patients with noncalcified plaques (39.9%) and (4) There was no significant difference in the extent of coronary plaques among the three clusters.

CONCLUSIONS

The unsupervised clustering method could address T2DM patients with heterogeneous clinical indicators and identify groups with different types of coronary plaque and degrees of coronary stenosis. This method has the potential for patient stratification, which is essential for the clinical management of T2DM patients with coronary atherosclerosis.

Association between triglyceride glucose index and worsening heart failure in significant secondary mitral regurgitation following percutaneous coronary intervention

BACKGROUND

The triglyceride glucose (TyG) index is an alternative to insulin resistance (IR) as an early indicator of worsening heart failure (HF). Patients with secondary mitral regurgitation (sMR) often experience progressive deterioration of cardiac function. This study aimed to investigate the relationship between the TyG index and worsening of HF in significant sMR (grade  ≥ 2) following percutaneous coronary intervention (PCI).

METHODS

This study enrolled participants with significant sMR following PCI from a multicenter cohort study. The patients were divided into the following 3 groups according to tertiles of TyG index: T1, TyG ≤ 8.51; T2, TyG > 8.51 to ≤ 8.98; and T3, TyG > 8.98. The main clinical outcome was worsening HF including unplanned rehospitalization or unscheduled physician office/emergency department visit due to HF and unplanned mitral valve surgery.

RESULTS

A total of 922 patients (mean ± SD age, 64.1 ± 11.0 years; 79.6% male) were enrolled. The incidence of worsening HF was 15.5% in T1, 15.7% in T2, and 26.4% in T3. In the multivariable model, the highest TyG tertile (T3 group) was more strongly correlated with worsening HF than the lowest tertile (T1 group) after adjusting for confounders (adjusted hazard ratio, 2.44; 95% confidence interval, 1.59-3.72; P < 0.001). The addition of TyG to risk factors such as N-terminal pro brain natriuretic peptide and clinical models improved the predictive ability of TyG for worsening HF.

CONCLUSIONS

Elevated preprocedural TyG index is a significant and independent risk factor for worsening HF in sMR following PCI that can be used for risk stratification.

Evaluating the use of novel atherogenicity indices and insulin resistance surrogate markers in predicting the risk of coronary artery disease: a case‒control investigation with comparison to traditional biomarkers

Background

Due to the contribution of coronary artery disease (CAD) to serious cardiovascular events, determining biomarkers that could robustly predict its risk would be of utmost importance. Thus, this research was designed to assess the value of traditional cardio-metabolic indices, and more novel atherogenicity indices and insulin resistance surrogate markers in the identification of individuals at risk of CAD.

Methods

A case‒control survey was conducted, in which 3085 individuals were enrolled. Their clinical and biochemical data were gathered at baseline. The investigated indices included the atherogenic index of plasma (AIP), triglyceride-glucose (TyG) index, TyG-body mass index (TyG-BMI), lipoprotein combine index (LCI), cholesterol index (CHOLINDEX), Castelli’s risk indices-I, II (CRI-I, CRI-II), and metabolic score for insulin resistance (METS − IR). To examine the relationship between these variables and CAD risk, multiple regression analyses adjusted for potential confounders were conducted.

Results

Overall, 774 angiographically confirmed CAD patients (mean age = 54 years) were compared with 3085 controls (mean age = 51 years). Higher triglyceride, total cholesterol and fasting blood sugar levels and lower HDL-C levels were related to an elevated risk of CAD (P-for-trend < 0.001), while the direct association between increased serum LDL-C concentrations and a greater risk of CAD only became apparent when excluding those with diabetes, and statin users. Among novel indices, greater values of the majority of these markers, including AIP, CRI-I, and -II, CHOLINDEX, LCI, and TyG-index, in comparison to the lower values, significantly elevated CAD risk (P-for-trend < 0.001).

Conclusion

According to the current findings, novel atherogenicity indices and insulin resistance surrogate markers, in particular, AIP, CRI-I and II, CHOLINDEX, LCI, and TyG-index, may be useful in predicting CAD risk.

Association between the triglyceride-glucose index and carotid plaque incidence: a longitudinal study

BACKGROUND

Carotid plaque and triglyceride-glucose (TyG) index are associated with insulin resistance. However, a highly debated question is whether there is an association between the TyG index and carotid plaque incidence. Thus we performed an in-depth longitudinal study to investigate the relationship between carotid plaque occurrence and the TyG index among Chinese individuals.

METHODS

Two thousand and three hundred seventy subjects (1381 males and 989 females) were enrolled and followed up for three years. The subjects were stratified into four groups based on the quartile of the TyG index at baseline. Univariate and multivariate Cox proportional hazard models were conducted to examine the role of TyG played in the carotid plaque. The strength of association was expressed as hazard ratio (HR) and 95% confidence interval (CI).

RESULTS

After three years of follow-up, 444 subjects were detected with newly formed carotid plaque. The overall 3-year cumulative carotid plaque incidence was 18.7%, and the risk of carotid plaque increased with elevated TyG index (p < 0.001). The Cox regression analysis showed that males (HR: 1.33, 95% CI: 1.10-1.61), and people with higher systolic blood pressure (HR:1.01, 95% CI: 1.01-1.02), lower high-density lipoprotein cholesterol (HR: 0.68, 95% CI: 0.50-0.93), diabetes (HR: 2.21, 95% CI: 1.64-2.97), and hypertension (HR:1.49, 95% CI: 1.23-1.81) had a significantly increased risk for the carotid plaque formation. Similar results remained in the sensitivity analysis.

CONCLUSIONS

The TyG index can be used as a dose-responsive indicator of carotid plaque in the Chinese population. Elderly males with dyslipidemia, diabetes, or hypertension should be more vigilant about their TyG index since they are susceptible to developing carotid plaque. Physicians are encouraged to monitor the TyG index to help identify and treat patients with carotid plaque at an early stage.

Association between triglyceride glucose index and atherosclerotic plaques and Burden: findings from a community-based study

Background

Insulin resistance is an important cause of cardiovascular events and cerebral infarction development. We aimed to investigate the association of the triglyceride glucose (TyG) index with atherosclerotic burden and plaques in coronary, intra- and extracranial arteries in participants with non-diabetes, and compared the results with that of the homeostasis model assessment of insulin resistance (HOMA-IR).

Methods

Participants without diabetes in the PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study were included. We categorized participants by tertiles of the TyG index and the concordance/discordance of the TyG index and HOMA-IR. Discordance was defined as a TyG index equal to or greater than the median and HOMA-IR less than the median, or vice versa. The atherosclerosis plaques and burden in coronary, intra- and extracranial arteries were evaluated. The association of HOMA-IR and TyG index with the presence of atherosclerotic plaques and atherosclerotic burden was assessed by binary and ordinal logistic regression models, respectively.

Results

Among 2,719 included participants, the average age was 60.9 (± 6.6) years, and 53.0% were female. Both TyG index and HOMA-IR were associated with increased odds of coronary/intra- and extracranial atherosclerotic plaques and burden after adjustment for age, sex, currenting smoking and drinking (all P < 0.05). However, the association between HOMA-IR and intracranial atherosclerosis was not statistically significant after adjustment for all potential confounders. Discordantly high TyG index with HOMA-IR had a higher odd of extracranial plaque (odds ratio [OR]: 1.34, 95% confidence interval [CI]: 1.04–1.71), extracranial atherosclerotic burden (common odds ratio [cOR]: 1.35, 95% CI 1.06–1.71), coronary plaque (OR: 1.30, 95% CI 1.01–1.68) and segment stenosis score (cOR: 1.39, 95% CI 1.09–1.78) as compared with concordantly low TyG index with HOMA-IR. The TyG index had a better net reclassification improvement ability than HOMA-IR for atherosclerotic plaques when adding to baseline model.

Conclusion

Elevated TyG index was associated with increased odds of atherosclerosis in coronary/intra- and extracranial arteries. Compared with HOMA-IR, the TyG index was more strongly associated with intracranial atherosclerosis. Moreover, discordantly high TyG index with HOMA-IR was also important for atherosclerosis identification.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-022-01638-x.

Incremental prognostic value of triglyceride glucose index additional to coronary artery calcium score in asymptomatic low-risk population

BACKGROUND

The triglyceride glucose (TyG) index has been suggested as a reliable surrogate marker of insulin resistance which is a substantial risk factor for atherosclerotic cardiovascular disease (ASCVD). Several recent studies have shown the relationship between the TyG index and cardiovascular disease; however, the role of the TyG index in coronary artery calcification (CAC) progression has not been extensively assessed especially in low-risk population.

METHODS

We enrolled 5775 Korean adults who had at least two CAC evaluations. We determined the TyG index using ln (fasting triglycerides [mg/dL] x fasting glucose [mg/dL]/2). The CAC progression was defined as either incident CAC in a CAC-free population at baseline or an increase of ≥ 2.5 units between the square roots of the baseline and follow-up coronary artery calcium scores (CACSs) of subjects with detectable CAC at baseline.

RESULTS

CAC progression was seen in 1,382 subjects (23.9%) during mean 3.5 years follow-up. Based on the TyG index, subjects were stratified into four groups. Follow-up CACS and incidence of CAC progression were markedly elevated with rising TyG index quartiles (group I [lowest]:17.6% vs. group II:22.2% vs. group III:24.6% vs. group IV [highest]: 31.3%, p < 0.001). In multivariate logistic regression analysis, the TyG index was independent predictor of CAC progression (odds ratio: 1.57; 95% confidence interval: 1.33 to 1.81; p < 0.001) especially in baseline CACS ≤ 100 group.

CONCLUSION

The TyG index is an independent predictor of CAC progression in low-risk population. It adds incremental risk stratification over established factors including baseline CACS.

Association between triglyceride glucose index, coronary artery calcification and multivessel coronary disease in Chinese patients with acute coronary syndrome

Background

Multivessel coronary disease (MVCD) is the common type of coronary artery disease in acute coronary syndrome (ACS). Coronary artery calcification (CAC) has been confirmed the strong predictor of major adverse cardiovascular events (MACEs). Several studies have validated that triglyceride glucose (TyG) index can reflect the degree of coronary calcification or predict MACEs. However, no evidence to date has elucidated and compared the predictive intensity of TyG index or/and coronary artery calcification score (CACS) on multi-vascular disease and MACEs in ACS patients.

Methods

A total of 935 patients, diagnosed with ACS and experienced coronary computed tomography angiography (CCTA) from August 2015 to March 2022 in the Second Hospital of Shandong University, were selected for retrospective analysis. The subjects were divided into TyG index quartile 1–4 groups (Q1-Q4 groups), non-multivessel coronary disease (non-MVCD) and multivessel coronary disease (MVCD) groups, respectively. The general data, past medical or medication history, laboratory indicators, cardiac color Doppler ultrasound, CACS, and TyG indexes were respectively compared among these groups. The ROC curve preliminarily calculated and analyzed the diagnostic value of TyG index, CACS, and the combination of the two indicators for MVCD. Univariate and multivariate logistic regression analysis discriminated the independent hazard factors for forecasting MVCD.

Results

Compared with the lower TyG index and non-MVCD groups, the higher TyG index and MVCD groups had higher values of age, smoking history, waist circumference, systolic blood pressure, low-density lipoprotein cholesterol(LDL-C), fasting blood glucose and glycosylated hemoglobin, and CACS, but lower values of high-density lipoprotein cholesterol(HDL-C) (all P < 0.01). Coronary artery calcification is more common in the left anterior descending artery. Compared with non-MVCD, each unit increase in TyG index was associated with a 1.213-fold increased risk of MVCD. Logistic regression analysis adjusted for potential confounders indicated that TyG index is an independent risk factor for MVCD. With the increase of TyG index, the incidence of MACEs, apart from all-cause death, cardiac death, unexpected re-hospitalization of heart failure, recurrent ACS or unplanned revascularization, and non-fatal stroke in coronary artery increased (P log-rank < 0.001).

Conclusion

TyG index could completely substitute for CACS as a reliable, practical, and independent indicator for predicting the severity and prognosis of MVCD in patients with ACS.

Association between the triglyceride-glucose index and severity of coronary artery disease

Background

The triglyceride–glucose (TyG) index, which is a reliable surrogate marker of insulin resistance (IR), has been associated with cardiovascular diseases. However, evidence of the impact of the TyG index on the severity of coronary artery disease (CAD) is limited. This study investigated the relationship between the TyG index and CAD severity of individuals with different glucose metabolic statuses.

Methods

This study enrolled 2792 participants with CAD in China between January 1, 2018 and December 31, 2021. All participants were divided into groups according to the tertiles of the TyG index as follows: T1 group, TyG index < 6.87; T2 group, TyG index ≥ 6.87 to < 7.38; and T3 group, TyG index ≥ 7.38. The glucose metabolic status was classified as normal glucose regulation, pre-diabetes mellitus (pre-DM), and diabetes mellitus according to the standards of the American Diabetes Association. CAD severity was determined by the number of stenotic vessels (single-vessel CAD versus multi-vessel CAD).

Results

We observed a significant relationship between the TyG index and incidence of multi-vessel CAD. After adjusting for sex, age, body mass index, smoking habits, alcohol consumption, hypertension, estimated glomerular filtration rate, antiplatelet drug use, antilipidemic drug use, and antihypertensive drug use in the logistic regression model, the TyG index was still an independent risk factor for multi-vessel CAD. Additionally, the highest tertile of the TyG group (T3 group) was correlated with a 1.496-fold risk of multi-vessel CAD compared with the lowest tertile of the TyG group (T1 group) (odds ratio [OR], 1.496; 95% confidence interval [CI], 1.183–1.893; P < 0.001) in the multivariable logistic regression model. Furthermore, a dose–response relationship was observed between the TyG index and CAD severity (non-linear P = 0.314). In the subgroup analysis of different glucose metabolic statuses, the T3 group (OR, 1.541; 95% CI 1.013–2.344; P = 0.043) were associated with a significantly higher risk of multi-vessel CAD in individuals with pre-DM.

Conclusions

An increased TyG index was associated with a higher risk of multi-vessel CAD. Our study indicated that TyG as an estimation index for evaluating IR could be a valuable predictor of CAD severity, especially for individuals with pre-DM.

Valsartan in Combination with Tripterygium Glycosides Protects against Chronic Nephritis via the Toll-Like Receptor 4 Pathway

Objective. Valsartan has been studied to exert effects on kidney disease. However, the concrete function of valsartan in combination with tripterygium glycosides in chronic nephritis remained largely unknown. The study was designed to unravel the impacts of valsartan and tripterygium glycosides in chronic nephritis through the Toll-like Receptor 4 (TLR4) pathway. Methods. The renal function indicators such as serum creatinine (Scr), blood urea nitrogen (BUN) and β2 microglobulin (β2-MG), 24 h urine protein (Upro) levels, and blood lipid indicators such as total cholesterol (TC), low-density lipoprotein (LDL-C), triacylglycerol (TG) and high-density lipoprotein (HDL-C), inflammatory factors (e.g., IL-1β and IL-8), and the proportion of T lymphocyte subpopulations (CD4+ and CD8+) were detected in chronic nephritis patients before and after treatment with valsartan alone or valsartan combined with tripterygium glycosides. Symptoms of adverse reactions were recorded. TLR4 expression in the patients’ serum was examined. Results. Compared to patients before treatment, after treatment with valsartan alone or valsartan combined with tripterygium glycosides, the renal function indicators Scr, BUN, and 24 h levels were reduced, and TC, TG, and LDL-C levels were reduced, while HDL-C levels were elevated; inflammatory responses (IL-1β and IL-8) were mitigated; CD4+ ratio and CD4+/CD8+ ratio increased yet CD8+ ratio decreased; TLR4 expression was silenced after treatment. All of the changes were more obvious in patients after being treated with valsartan combined with tripterygium glycosides. Conclusion. Valsartan in combination with tripterygium glycosides protects against chronic nephritis via suppressing the Toll-like Receptor 4 pathway.

Triglyceride Glucose Index Was Associated With the Risk of Peripheral Artery Disease

This study aims to investigate the relationship between the triglyceride glucose (TyG) index and peripheral artery disease (PAD). A total of 3125 participants with completed TyG and ankle brachial pressure index (ABPI) records were enrolled from the National Health and Nutrition Examination Survey (NHANES) cycle of 1999-2004. The TyG index was calculated as ln [triglycerides (mg/dL) × glucose (mg/dL)/2], and the presence of PAD was defined as ABPI ≤.9. The participants were 59.9 ± 12.9 years old and 51.5% (1608) were male. The prevalence of PAD was 7.2% (225). Compared with the reference lowest quartile of TyG index, the highest quartile was associated with 1.27-fold increased (odds ratio [OR] 2.27, 95% confidence interval [CI] 1.53-3.41; P < .001) risk of PAD. After adjusting for sociodemographic, lifestyles, and cardiometabolic factors, the multivariate-adjusted OR and 95% CI were 1.74 (1.02-3.01; P = .044) in participants within the highest quartile. Subgroup analysis showed that the association between TyG index and the risk of PAD was still consistent across subgroups. In conclusion, higher TyG index was significantly associated with the higher risk of PAD, which could be a marker of PAD.

Insulin resistance is associated with an unfavorable outcome among non-diabetic patients with isolated moderate-to-severe traumatic brain injury – A propensity score-matched study

Background

Hyperglycemia is an independent risk factor for the poor prognosis in patients with traumatic brain injury (TBI), and stress-induced impaired insulin function is the major factor of hyperglycemia in non-diabetic patients with TBI. Several types of research suggested that insulin resistance (IR) is related to the poor prognosis of neurocritical ill patients; here we focused on the role of IR in non-diabetic patients after TBI.

Methods

We performed a prospective observational study with the approval of the Ethics Committee of our institute. IR was accessed via the update Homeostasis Model Assessment (HOMA2) of IR, a computer-calculated index by glucose and insulin level. HOMA2 ≥ 1.4 was considered as the threshold of IR according to the previous studies. The glycemic variability (GV) indices were calculated by fingertip blood glucose concentration at an interval of 2 h within 24 h to explore the relationship between IR and GV. The outcome was the 6-month neurological outcome evaluated with the Glasgow outcome scale.

Results

A total of 85 patients with isolated moderate-to-severe TBI (admission GCS ≤ 12) were finally included in our study, 34 (40%) were diagnosed with IR with HOMA2 ≥ 1.4. After propensity score matching (PSM), 22 patients in IR group were matched to 34 patients in non-IR group. Patients with IR suffered increased systemic glycemic variation after isolated moderate-to-severe TBI. IR was a significant factor for the poor prognosis after TBI (OR = 3.25, 95% CI 1.03–10.31, p = 0.041).

Conclusions

The IR estimated by HOMA2 was associated with greater GV and an unfavorable outcome after isolated moderate-to-severe TBI. Ameliorating impaired insulin sensitivity may be a potential therapeutic strategy for the management of TBI patients.

Association between triglyceride-glucose index and carotid atherosclerosis detected by ultrasonography

Background

Several previous studies have indicated that the triglyceride-glucose index (TyG) index is associated with carotid atherosclerosis (CA); however, the evidence of the association is limited and inconsistent, which may result from small sample sizes or differences in study populations. Therefore, we examined the relation between the TyG index and CA in a large general population of Chinese middle-aged and elderly population.

Methods

A total of 59,123 middle-aged and elderly participants were enrolled. The TyG index was calculated as ln[fasting triglycerides (mg/dL)×fasting glucose (mg/dL)/2]. Logistic regression models were used to analyze the relationship between the TyG index as continuous variables and quartiles and CA. The relationships between the TyG index and CA according to sex, age groups, blood pressure groups and body mass index groups were also assessed.

Results

The multivariate logistic regression analysis showed that the TyG index was significantly associated with the prevalence of CA (OR: 1.48; 95% CI 1.39–1.56), carotid intima-media thickness (CMT) (1.55; 1.45–1.67), plaques (1.38; 1.30–1.47) and stenosis severity (> 50%) (1.33; 1.14–1.56). Compared with the quartile 1, quartile 4 was significantly associated with a higher prevalence of CA (1.59; 1.45–1.75), CMT (1.93; 1.82–2.18), plaques (1.36; 1.22–1.51) and stenosis severity (> 50%) (1.56; 1.20–2.04). Subgroup analyses showed significant associations between the continuous TyG index and the prevalence of CA, CMT, plaques and stenosis severity (> 50%) according to sex, with a higher prevalence of CA, CMT, and plaques among males, while a higher prevalence of stenosis severity in females (> 50%). For participants aged < 60 years old and with hypertension, the relationship between the TyG index and stenosis severity (> 50%) was not observed (1.47; 0.97–2.22 and 1.13; 0.91–1.41). For body mass index (BMI), the association was just observed among overweight participants (1.48; 1.17–1.86). In addition, similar results were also observed when the TyG index was used as a categorical variable.

Conclusions

There is a positive association between the TyG index and CA. The association is higher in males and middle-aged individuals than those in females and elderly individuals. Besides, the relationship is stronger among individuals with normal blood pressure and underweight subjects.

TyG Index Performs Better Than HOMA-IR in Chinese Type 2 Diabetes Mellitus with a BMI < 35 kg/m2: A Hyperglycemic Clamp Validated Study

Background and objectives: Chinese type 2 diabetes mellitus (T2DM) patients are characterized by a low body mass index (BMI), and significant insulin resistance (IR). The triglyceride glucose (TyG) index has not been studied as a means of assessing IR in Chinese T2DM patients with a BMI < 35 kg/m2. Materials and Methods: An open-label cross-sectional study recruited 102 Chinese T2DM patients with a BMI < 35 kg/m2. The hyper-insulinemic euglycemic clamp, homeostatic model assessment of IR (HOMA-IR), and TyG index were used to determine the level of IR. Based on Pearson’s correlations, glucose disposal rate (GDR), TyG index, and HOMA-IR were analyzed. HOMA-IR and TyG index for IR were evaluated using multiple linear regression and multivariate logistic regression analyses. On the basis of the receiver operating characteristic (ROC) curve, the sensitivity, specificity, and optimal cut-off value of HOMA-IR and the TyG index were determined. Results: The mean values of GDR, HOMA-IR, and TyG index were 4.25 ± 1.81, 8.05 ± 7.98, and 8.12 ± 0.86 mg/kg/min, respectively. Pearson’s correlation coefficient was −0.418 between GDR and TyG index and −0.324 between GDR and HOMA-IR. ROC curve analysis showed that, among both sexes, the TyG index was a better discriminator of IR than HOMA-IR. The area under the ROC curve (AUC) of the TyG index (0.785, 0.691−0.879) was higher than that of HOMA-IR (0.73, 0.588−0.873) in all genders. The optimal cut-off values of the TyG index and HOMA-IR were 7.99 and 3.39, respectively. Conclusions: The TyG index showed more effectiveness in identifying IR in Chinese T2DM patients with a BMI < 35 kg/m2 compared to HOMA-IR.

A synergistic effect of the triglyceride-glucose index and the residual SYNTAX score on the prediction of intermediate-term major adverse cardiac events in patients with type 2 diabetes mellitus undergoing percutaneous coronary intervention

BACKGROUND

The residual SYNTAX score (rSS), a quantitative measure of angiographic completeness of revascularization after percutaneous coronary intervention (PCI), and the triglyceride-glucose index (TyG index), a reliable surrogate marker of insulin resistance, have been regarded as independent predictors of major adverse cardiac events (MACEs) after PCI. Whether a combination of the rSS and the TyG index improves the predictive ability for MACEs in patients with type 2 diabetes mellitus (T2DM) undergoing PCI remains unknown.

METHODS

A total of 633 consecutive patients with T2DM who underwent PCI were included in the present analyses. Patients were stratified according to the optimal cutoff point value of the TyG index, or the rSS determined by receiver‑operating characteristic (ROC) curve analysis. The primary endpoint was the composite of MACEs, including all-cause death, nonfatal myocardial infarction, and unplanned repeat revascularization. Cumulative curves were calculated using the Kaplan-Meier method. Multivariate Cox regression was used to identify predictors of MACEs. The predictive value of the TyG index combined with the rSS was estimated by the area under the ROC curve, continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI).

RESULTS

During a median follow-up of 18.83 months, 99 patients developed MACEs, more frequently in the patients with a higher TyG index or rSS. Multivariate Cox hazards regression analysis revealed that both the TyG index and rSS were independent predictors of MACEs (hazard ratio 1.8004; 95% CI 1.2603-2.5718; P = 0.0012; 1.0423; 95% CI 1.0088-1.0769; P = 0.0129, respectively). Furthermore, Kaplan-Meier analysis demonstrated that both the TyG index and the rSS were significantly associated with an increased risk of MACEs (log-rank, all P < 0.01). The addition of the rSS and the TyG index to the baseline risk model had an incremental effect on the predictive value for MACE (increase in C-statistic value from 0.660 to 0.732; IDI 0.018; NRI 0.274; all P < 0.01).

CONCLUSIONS

The TyG index predicts intermediate-term MACE after PCI in patients with T2DM independent of known cardiovascular risk factors. Adjustment of the rSS by the TyG index further improves the predictive ability for MACEs in patients with T2DM undergoing PCI.

Triglyceride glucose index for the detection of the severity of coronary artery disease in different glucose metabolic states in patients with coronary heart disease: a RCSCD-TCM study in China

Background

Triglyceride glucose (TyG) index is a new marker associated with atherosclerosis. This study aimed to assess the association between TyG index and the severity of coronary artery disease (CAD) in patients with coronary heart disease (CHD) and further explore the association between TyG index and CAD severity in different glucose metabolic states.

Methods

This multi-centre retrospective study included 731 patients with CHD between January 1, 2014 and September 30, 2020 in China. All patients were stratified into groups based on the tertiles of TyG index (T1: 5.48 ≤ TyG index ≤ 7.17; T2: 7.18 ≤ TyG index ≤ 7.76; T3: 7.77 ≤ TyG index ≤ 10.82). The number of diseased vessels [single-vessel and multi-vessel CAD (≥ 50% stenosis in ≥ 2 large vessels)] represented the severity of CAD, which was measured using coronary angiography (CAG). Glucose metabolic states were defined by the American Diabetes Association as normal glucose regulation (NGR), prediabetes mellitus (Pre-DM), and diabetes mellitus (DM).

Results

The baseline analysis results showed significant differences in the clinical and biological characteristics of CHD patients according to TyG index tertiles (P < 0.05 to < 0.001). Logistic regression analysis showed that the TyG index was significantly related to the risk of multi-vessel CAD (odds ratio [OR]: 1.715; 95% confidence interval [CI] 1.339–2.197; P < 0.001). The OR for multi-vessel CAD in TyG index T3 compared to that of T1 was 2.280 (95% CI 1.530–3.398; P < 0.001). Receiver operating characteristic (ROC) curve was generated to evaluate the accuracy of the TyG index in detecting the CAD severity, and the area under the curve (AUC) of the ROC plots was 0.601 (95% CI 0.559–0.643). The association between TyG index and multi-vessel CAD was significant in patients with DM, achieving the highest OR among the different glucose metabolic states (OR: 1.717; 95% CI 1.161–2.539; P < 0.05).

Conclusion

TyG index was associated with CAD severity in patients with CHD, and an increased TyG index could identify patients with a high risk of multi-vessel CAD. There was an association between TyG index and CAD severity for the condition of DM.

Prognostic value of triglyceride glucose (TyG) index in patients with acute decompensated heart failure

Background

The triglyceride glucose (TyG) index has been proposed as a reliable marker of insulin resistance (IR) and an independent predictor of cardiovascular disease risk. However, its prognostic value in patients with acute decompensated heart failure (ADHF) remains unclear.

Methods

A total of 932 hospitalized patients with ADHF from January 1st, 2018 to February 1st, 2021 were included in this retrospective study. The TyG index was calculated as ln [fasting triglyceride level (mg/dL) × fasting plasma glucose level (mg/dL)/2]. Patients were divided into tertiles according to TyG index values. The primary endpoints were all-cause death, cardiovascular (CV) death and major adverse cardiac and cerebral events (MACCEs) during follow-up. We used multivariate adjusted Cox proportional hazard models and restricted cubic spline analysis to investigate the associations of the TyG index with primary endpoints.

Results

During a median follow-up time of 478 days, all-cause death, CV death and MACCEs occurred in 140 (15.0%), 103 (11.1%) and 443 (47.9%) cases, respectively. In multivariate Cox proportional hazard models, the risk of incident primary endpoints was associated with the highest TyG tertile. After adjustment for confounding factors, hazard ratios (HRs) for the highest tertile (TyG index ≥ 9.32) versus the lowest tertile (TyG index < 8.83) were 2.09 (95% confidence interval [CI], 1.23–3.55; p = 0.006) for all-cause death, 2.31 (95% CI, 1.26–4.24; p = 0.007) for CV death and 1.83 (95% CI, 1.18–3.01; p = 0.006) for MACCEs. Restricted cubic spline analysis also showed that the cumulative risk of primary endpoints increased as TyG index increased. When the TyG index was used as a continuous variable, the hazard ratios of the three primary endpoints rapidly increased within the higher range of the TyG index (all cause death, TyG > 9.08; CV death, TyG > 9.46; MACCEs, TyG > 9.87).

Conclusions

The elevated TyG index was independently associated with poor prognosis, and thus would be useful in the risk stratification in patients with ADHF.