Triglyceride-glucose index and the risk of heart failure: Evidence from two large cohorts and a mendelian randomization analysis

Association of body mass index combined with triglyceride-glucose index in cardiovascular disease risk: a prospective cohort study

Previous studies have mainly explored the effects of body mass index (BMI) and triglyceride-glucose index (TyG index) on cardiovascular disease (CVD) separately or by examining the composite parameter (TyG-BMI) formed by multiplying the two and its association with CVD. However, few studies have investigated the combined effect of BMI categories and the TyG index on CVD. This study aimed to determine the association of BMI categories combined with the TyG index in new-onset CVD. A total of 94,002 participants were included from the Kailuan study. Their BMI combined with the TyG index was categorized into six groups: Low-BMI/Low-TyG, Middle-BMI/Low-TyG, High-BMI/Low-TyG, Low-BMI/High-TyG, Middle-BMI/High-TyG, and High-BMI/High-TyG. A multifactorial Cox proportional hazards model was used to analyze the longitudinal association between BMI combined with the TyG index and new-onset CVD events. During a follow-up period of 15.95 ± 3.59 years, 9791 new CVD events were recorded. After adjusting for confounding factors such as sex, age, smoking, drinking, physical activity, systolic blood pressure, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, uric acid, high-sensitivity C-reactive protein, antihypertensive drugs, hypoglycemic drugs, and lipid-lowering drugs, Cox regression analysis showed that the risk of CVD events was 52% higher in the High-BMI/High-TyG group (HR: 1.52; 95% CI 1.42-1.64) compared to the Low-BMI/Low-TyG group. The combination of high BMI (≥ 28.0) and high TyG index (> 8.58) significantly increases individual CVD risk. This study suggests that the combination of BMI and the TyG index may better help identify individuals at risk of developing CVD.

Association between triglyceride-glucose index and all cause mortality in critically ill patients with heart failure

The triglyceride-glucose (TyG) index is regarded as a surrogate marker of systemic insulin resistance (IR). Studies have substantiated the impact of IR on cardiovascular diseases. Nonetheless, the prognostic value of the TyG index in critical patients with heart failure (HF) with intensive care unit (ICU) admission remains unclear. This study aims to assess the association between the TyG index and all-cause mortality in critically ill patients with HF. Patients with HF requiring ICU admission were identified from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database and subsequently stratified into quartiles based on their TyG index. The primary outcome was 30-day all-cause mortality, and the secondary outcome was 1-year all-cause mortality. The relationship between the TyG index and all-cause mortality in HF patients was analyzed using multivariable Cox proportional hazards models and restricted cubic splines. A total of 1220 patients (62.4% men) were enrolled, with a mean age of 70.6 years. The 30-day and one-year all-cause mortality rate were 15.7% and 34.6%, respectively. Multivariable Cox regression revealed that TyG index was significantly associated with an elevated risk of 30-day all-cause mortality (adjusted HR, 1.360; 95% CI, 1.093-1.694; P = 0.006), but not with one-year mortality (adjusted HR 1.046; 95% CI 0.895-1.222, P = 0.574). Restricted cubic splines showed a progressively increasing risk of 30-day mortality was linearly related to an elevated TyG index. Subgroup analyses indicated a more prominent association between TyG index and 30-day mortality in patients with age ≤ 65, female or BMI > 30 kg/m2. In critically ill patients with HF, the TyG index is significantly associated with short-term all-cause mortality. Our results highlight that the TyG index can be useful in identifying HF patients at high risk of all-cause mortality and require close follow-up after discharge.

Associations between triglyceride-glucose body mass index and all-cause mortality in ICU patients with sepsis and acute heart failure

BACKGROUND

The triglyceride‒glucose body mass index (TyG-BMI) has been recognized as a significant predictor of cardiovascular disease risk and plays a crucial role in assessing insulin resistance. However, the correlation between the TyG-BMI and clinical outcomes in patients with sepsis and acute heart failure (AHF) has not been sufficiently explored. This study aimed to investigate the associations between TyG-BMI and clinical outcomes in patients with sepsis and AHF.

METHODS

We conducted a retrospective analysis of ICU-admitted patients via data from the MIMIC-IV database. Multivariable logistic regression, sensitivity analysis, and restricted cubic spline (RCS) models were used to assess the relationship between TyG-BMI and all-cause mortality. K‒M survival analysis and Boruta analysis were employed to evaluate the predictive value of the TyG-BMI. Subgroup analyses considered the effects of age, sex, ethnicity, and comorbidities.

RESULTS

Among the 1,729 patients, a higher TyG-BMI was associated with lower all-cause mortality at 90 and 180 days. Each standard deviation increase in the TyG-BMI was linked to 0.2% and 0.3% reductions in 90-day and 180-day all-cause mortality, respectively. Kaplan‒Meier analysis revealed significantly lower all-cause mortality in patients with higher TyG-BMIs (P < 0.0001). The RCS model revealed a nonlinear relationship between the TyG-BMI and mortality. Boruta analysis identified the TyG-BMI as an important clinical feature. Sensitivity analyses revealed that the association remained significant after patients with myocardial infarction, malignancies, or missing data were excluded. The subgroup analysis revealed that for the 90-day and 180-day mortality rates, significant interactions were found only in the subgroup of patients with kidney diseases (P < 0.05).

CONCLUSION

The TyG-BMI may have potential value in predicting mortality in ICU patients with sepsis and AHF, supporting early risk assessment and clinical intervention. This study provides critical insights into patient prognosis.

Association Between T2DM, TyG Index, Multiple Sclerosis, and Rheumatoid Arthritis: Insights into Potential Mechanisms

Abundant research indicates that type 2 diabetes mellitus (T2DM) and insulin resistance (IR) have a certain association with autoimmune-related diseases (ARDs). However, the conclusions remain elusive. Therefore, this study aimed to explore whether there are causal associations between T2DM and IR indicator, triglyceride-glucose (TyG) index with ARDs, and evaluate the impact of immune cells. Comprehensive Mendelian randomization (MR) analysis combined with Bayesian colocalization was employed to investigate the relationship between T2DM, TyG index, ARDs, and specific-marker immune cells by extracting summary-level data from various genome-wide association studies (GWASs). Further investigations utilizing single-cell RNA sequencing (scRNA-seq) analysis were performed to explore the potential molecular mechanisms underlying the MR analysis results. Causal associations of T2DM with multiple sclerosis (MS) and rheumatoid arthritis (RA) were detected. Additionally, the TyG index was genetically predicted to be associated with MS. Furthermore, immune cells were found to be related to T2DM and TyG index, of which CD3 on naive CD8 + T cell mediate the effect on the association between TyG index and multiple sclerosis (MS). Additionally, genetic variation of TCF7L2 and TNFSF13B were assessed to play a crucial role in the aforementioned associations supported by colocalization analysis. This study identified T2DM and IR related to increased risk of MS and RA. The analysis of relevant immune cells and shared genetic loci provides a novel direction for exploring comorbidity mechanisms.

Combined effect of skeletal muscle mass loss and elevated insulin resistance on heart failure risk in older adults: a community-based longitudinal cohort study

BACKGROUND

Skeletal muscle mass loss and insulin resistance (IR) are associated with cardiovascular diseases risk. However, it remains unclear whether the combination of skeletal muscle mass loss and elevated IR affects heart failure (HF) risk. Here, we investigate the association between a combination of appendicular skeletal muscle mass index (ASMI) with estimated glucose disposal rate (eGDR) and HF risk in older adults.

METHODS

A prospective analysis and a dual-trajectory analysis were carried out to investigate the association of the combined effect of ASMI and eGDR with HF risk. A total of 11,596 adults aged ≥ 60 years were enrolled from the community for prospective analysis. Among them, 10,489 were eligible for the dual-trajectory analysis. The temporal evolution of ASMI and eGDR was determined using a dual-trajectory model.

RESULTS

In the prospective analysis, 1087 individuals developed HF. Restricted cubic splines analysis showed L-shaped associations between ASMI and eGDR and HF risk. HF risk decreased by 32.3% (hazard ratio (HR): 0.677, 95% confidence interval (CI): 0.623-0.734, Padj < 0.001) for female and 9.0% (HR 0.910, 95% CI 0.831-0.996, Padj = 0.003) for male patients per one standard deviation (SD) AMSI increment and 29.4% (HR 0.706, 95% CI 0.647-0.770, Padj < 0.001) for female and 26.8% (HR 0.732, 95% CI 0.668-0.803, Padj < 0.001) for male patients per one SD eGDR increment. There was a synergistic effect on HF risk per one SD ASMI and eGDR increment (Padj < 0.001). Five distinct dual ASMI and eGDR trajectories were identified in the dual-trajectory analysis. A total of 859 (8.85 per 1000 person-years) individuals developed HF. Compared to group 4 with moderate-stable ASMI and eGDR and the lowest incident HF, the HR in group 5 characterized by low-stable ASMI and eGDR was 1.908 (95% CI 1.482-2.457, Padj < 0.001), followed by 1.716 (95% CI 1.296-2.273, Padj < 0.001) in group 3 with low-decrease ASMI and high-decrease eGDR.

CONCLUSIONS

Skeletal muscle mass loss and elevated IR act synergistically to increase the HF risk in older adults. Comprehensive management of muscle mass and IR might be a useful and effective strategy for preventing and controlling HF.

TRIAL REGISTRATION

Retrospectively registered number ChiCTREOC17013598.

Associations between the triglyceride-glucose index and the risk of heart failure in patients undergoing maintenance hemodialysis: a retrospective cohort study

Background

Although the triglyceride-glucose (TyG) index levels have been shown to be a reliable predictor of major adverse cardiovascular events (MACE), few studies have investigated their association with heart failure (HF), especially in patients on dialysis. We therefore aimed to investigate the relationship between the TyG index and the incidence of HF in patients undergoing maintenance hemodialysis (MHD).

Methods

A total of 183 participants who underwent MHD in the Blood Purification Center of the Affiliated Hospital of Xuzhou Medical University from September 2008 to October 2023 were included and followed up until March 2024. The TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting blood glucose (mg/dL)/2]. Participants were divided into two different groups according to the TyG index. The primary endpoint of this study was newly diagnosed HF events during the follow-up period. Cox proportional hazard models were used to examine the association between the TyG index and the risk of incident HF. To assess the dose-response relationship between TyG index and risk of HF, restricted cubic spline analysis was used.

Results

Among the 183 participants, there were 61 incident cases of HF during a median follow-up period of 57 months. In comparison to the group with a lower TyG index, participants with a higher TyG index had a higher risk of HF (HR=2.590, 95%CI=1.490-4.500), regardless of whether a variety of potential confounders were adjusted. The association between TyG index and HF (P for non-linearity > 0.05) was confirmed by restricted cubic spline analysis.

Conclusion

The TyG index was positively associated with the risk of incident HF in patients undergoing MHD, which indicates that the TyG index might be useful to identify people at high-risk for developing HF.

Estimated glucose disposal rate mediates the association between Life's Crucial 9 and congestive heart failure: a population-based study

Background

Life's Crucial 9 (LC9) is the latest indicator of cardiovascular health (CVH), and the estimated glucose disposal rate (eGDR) is a non-invasive indicator of insulin resistance (IR). However, the relationships between LC9 and eGDR and congestive heart failure (CHF) remain unknown.

Methods

In this cross-sectional study, participants aged ≥20 years in the NHANES database from 2005 to 2018 were analyzed. Weighted linear regression, logistic regression, subgroup analysis, and restricted cubic spline (RCS) analysis were employed to analyze the associations among LC9, eGDR, and CHF. Mediation analysis was used to explore the mediating role of eGDR in the association between LC9 and CHF.

Results

A total of 22,699 adult participants were included, among whom 661 suffered from CHF. The mean age of the participants was 47.52 (0.26) years old, with 11186 (48.68%) males and 11513 (51.32%) females. The average value of LC9 was 71.16 (0.22), and that of eGDR was 7.91 (0.04). After adjusting for confounding factors, linear regression showed that LC9 was independently and positively associated with eGDR (β: 1.11, 95%CI: 1.07 - 1.14, P < 0.0001). Logistic regression indicated that both LC9 (OR: 0.76, 95%CI: 0.65 - 0.88, P < 0.001) and eGDR (OR: 0.81, 95%CI: 0.76 - 0.86, P < 0.0001) were independently and negatively associated with the prevalence of CHF. Mediation analysis revealed that the association between LC9 and CHF was mainly mediated by eGDR, with a proportion of 66%.

Conclusion

This study suggests that higher LC9 scores and eGDR values imply a lower prevalence of CHF. Meanwhile, eGDR is the main intermediate factor in the association between LC9 and CHF, indicating that good CVH may reduce the prevalence of CHF by improving IR.

The role of TyG index in predicting low left ventricular ejection fraction after acute coronary syndrome

AIMS

This study aimed to investigate whether triglyceride-glucose (TyG) index and other clinical and demographic parameters are associated with left ventricular ejection fraction (LVEF) following an acute coronary syndrome (ACS) event.

METHODS & RESULTS

This retrospective cohort study included patients hospitalized with a diagnosis of ACS. The TyG index was calculated using the formula: TyG = ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. A total of 2,135 patients were included in the study (mean age: 57.49 ± 11.45 years, 78.64% male). Multivariable logistic regression revealed that mildly reduced or reduced LVEF was associated with immigrant population (p = 0.004), diabetes mellitus (p = 0.017), previous coronary artery disease (CAD) (p < 0.001), ST-elevation myocardial infarction (STEMI) (p < 0.001) and high (≥4.95) TyG index (p < 0.001). Reduced LVEF (≤40%) was independently associated with an immigrant status (p = 0.031), previous CAD (p = 0.001), peripheral artery disease (p = 0.038), renal diseases (p = 0.011), STEMI (p < 0.001) and high (≥5.10) TyG index (p < 0.001).

CONCLUSIONS

The TyG index shows potential as an independent risk factor for low LVEF after ACS.However, its relatively low sensitivity and specificity suggest that it may have a supportive role in risk stratification. Further research is needed to confirm its utility as a reliable prognostic marker for heart failure in ACS patients.

Lipid profiles and their association with incident carotid atherosclerosis: A community-based prospective study in Taiwan

BACKGROUND AND AIMS

Dyslipidemia, characterized by abnormal blood lipid levels, contributes to atherosclerosis, a condition involving arterial plaque buildup and cardiovascular events. While LDL-C and LDL-to-HDL-C ratios are established atherosclerosis predictors, the role of non-HDL-C is less explored.

METHODS AND RESULTS

A cohort of 1062 participants without carotid plaque at baseline was analyzed over a 4.0-year follow-up. Age-specific incidence rates were calculated, and baseline characteristics of those who developed plaques were compared using logistic regression and area under the ROC curve (AUROC) analysis to evaluate predictive models. Carotid plaques developed in 284 participants (87 males, 197 females). Incidence rates increased with age, reaching 41.2 % in females and 60.0 % in males aged 70-74 years. Participants with plaques were older (58.2 vs. 55.4 years, p < 0.0001), had higher BMI, blood pressure, and lipid markers, and were more likely to be male, hypertensive, or hyperlipidemic. Logistic regression identified age (OR 1.26 per 5 years), BMI (OR 1.23 per 5 kg/m2), LDL-C (OR 1.07 per 10 mg/dL), and LDL-to-HDL-C ratio (OR 1.41) as significant predictors, with HDL-C offering a protective effect. Models incorporating lipid ratios (non-HDL-to-HDL-C or LDL-to-HDL-C) showed similar predictive power (AUROC 0.636).

CONCLUSION

Carotid plaque progression correlates with age, male sex, elevated BMI, hypertension, and adverse lipid profiles. Lipid ratios and age are consistent predictors, with HDL-C demonstrating protective effects. Comparable AUROC values across models underscore the value of lipid ratios for assessing atherosclerosis risk.

Triglyceride-glucose index correlates with the incidences and prognoses of cardiac arrest following acute myocardial infarction: data from two large-scale cohorts

BACKGROUND

The triglyceride-glucose (TyG) index, renowned for its efficacy and convenience in assessing insulin resistance, has been validated as a reliable indicator for various cardiovascular conditions. The current study aims for clarifying the link of TyG with the incidences and prognoses of cardiac arrest (CA) following acute myocardial infarction (AMI).

METHODS

Our analysis is a multicenter, retrospective study utilizing data from the Medical Information Mart for Intensive Care IV and the eICU Collaborative Research Database. Patients with AMI for whom TyG could be calculated within the first 24 h after admission were included. The main endpoints were in-hospital and ICU mortalities. Correlations between TyG and outcomes were evaluated using logistic regression models, restricted cubic splines (RCS), as well as correlation and linear analyses. Overlap weighting (OW), inverse probability of treatment weighting (IPTW), and propensity score matching (PSM) methodologies were utilized to balance the cohorts, thereby minimizing potential biases. Subgroup analyses were performed in accordance with identified modifiers.

RESULTS

In total, 5208 individuals diagnosed with AMI, among whom 371 developed CA, were ultimately included. Higher TyG levels were observed among AMI populations with CA compared to those without [9.2 (8.7-9.7) vs. 9.0 (8.5-9.4)], and TyG demonstrated a moderate discriminatory capacity for identifying CA occurrences within entire AMI populations. Multivariate logistic regressions revealed TyG serves a significant risk indicator for both in-hospital (OR 1.711) and ICU mortalities (OR 1.520) in AMI-CA patients, and it is also associated with prolonged LOSs. RCS analyses confirmed linear relationships of ascending TyG with increased mortality risks for AMI-CA (P for nonlinearity: 0.592 and 0.816, respectively), which persisted following PSM, OW, and IPTW adjustments. Subgroup analyses further identified a strong link of the TyG with mortality rates among elders, females, individuals with BMI < 28 kg/m2, and those with hypertension.

CONCLUSIONS

Elevated TyG levels were found to apparently correlate with higher prevalence and adverse outcomes regarding CA in patients with AMI. Our findings point a fresh insight into the significance of the TyG in critically ill coronary conditions.

The association between derived TyG index and the risk of heart failure in the elderly population: a prospective cohort study from 2017 to 2023

BACKGROUND

Diabetes and obesity are established risk factors for heart failure(HF). Although the TyG (triglyceride-glucose) index serves as a sensitive marker for identifying insulin resistance, there is a lack of comprehensive evidence regarding whether its integration with obesity indices can enhance the predictive capacity for HF. This prospective cohort study is designed to explore the correlation between TyG indices in conjunction with obesity indices (TyG-body mass index, or TyG-BMI; TyG-waist circumference, or TyG-WC; TyG-waist circumference-to-height ratio, or TyG-WHtR) and the risk of HF.

METHODS

Between 2017 and 2023, the study employed a prospective cohort study design to investigate all older adults aged 60 years and above who completed at least twice periodical health examinations in the National Basic Public Health Service at the Hongguang Community Health Service Center. The association between TyG and its derived indices (TyG-BMI; TyG-WC; TyG-WHtR) and the risk of HF was assessed by Cox modelling, as well as their longitudinal trajectories fitted using a group-based trajectory model.

RESULTS

A total of 7,335 people participated in the study. During an average follow-up period of 2.97 years, 229 participants were eventually diagnosed with HF. Findings showed that individuals with a TyG-BMI less than 142 or greater than or equal to 169, TyG-WC greater than or equal to 614, and TyG-WHtR greater than or equal to 3.85 had a higher risk of developing HF, with hazard ratios (HR) and 95% confidence intervals (CIs) of 1.17 (1.15, 2.55), 1.45 (1.06. 1.98), 1.54 (1.09, 2.18) and 1.33 (1.01, 1.75). In terms of trajectories, the three derived indexes exhibited relatively stable fluctuations. Specifically, among men, those with low-level fluctuations in the TyG-BMI trajectory had a hazard ratio of 2.37 for HF compared to those with a medium-level wave.Compared to individuals whose TyG-WHtR levels fluctuate around 3.71 over five years, those with TyG-WHtR levels approaching 3.29 and steadily decreasing face an 80% higher risk of developing HF. However, there was no such difference observed in women.

CONCLUSION

This study demonstrates a difference in the risk of HF among populations with varying levels of TyG combined with obesity indicators. In addition, persistently low and decreasing levels of TyG-WHtR also indicate an increased risk of developing HF. These biomarkers can be used as effective practical tools for identifying those at high risk of developing HF in the community's older population.

Association between the triglyceride-glucose index and acute kidney injury in patients undergoing percutaneous coronary: a retrospective analysis of the MIMIC-IV database

BACKGROUND

Acute kidney injury (AKI) is a common complication that affects the outcomes of patients undergoing percutaneous coronary intervention (PCI). The triglyceride-glucose (TyG) index, a metric computed from fasting blood triglyceride and glucose levels, is closely associated with poor PCI outcomes. This study examined the association between the TyG index and incidence of AKI in patients undergoing PCI.

METHODS

Clinical information was obtained from the Medical Information Mart for Intensive Care IV database, which contains clinical data on 70,000 patients admitted to the intensive care unit at Beth Israel Deaconess Medical Center from 2008 to 2019. In total, 435 patients who underwent PCI were enrolled in this retrospective study, and they were categorized according to their AKI status, TyG quartiles, and diabetes mellitus (DM) history to analyze their baseline characteristics. The association of the TyG index with the risk of AKI was assessed using restricted cubic spline regression and logistic regression models. Subgroup analyses were also performed in patients with and without DM.

RESULTS

Compared with the non-AKI population, patients with AKI who underwent PCI had a higher mean TyG index (p = 0.004). The restricted cubic spline regression model revealed a linear correlation between the TyG index and AKI risk (p for nonlinear = 0.123) in patients undergoing PCI. A high TyG index was a risk factor for AKI in non-DM subgroup, as well as in patients with BMI < 28 (odds ratio [OR] = 1.77; p = 0.050) and those with no history of diabetes (OR = 1.83; p = 0.047) or COPD (OR = 1.56; p = 0.030).

CONCLUSIONS

This study highlighted the role of the TyG index as a predictive biomarker for AKI in patients without DM undergoing PCI, providing clinicians with a tool for identifying high-risk individuals for early intervention.

A Case-Control Study on Risk Factors and Outcomes in Congestive Heart Failure

Background

Congestive heart failure (CHF) represents an important health issue characterised by considerable morbidity and mortality. This study sought to identify risk factors for CHF and to evaluate clinical outcomes between CHF patients and control subjects.

Methods

Data were obtained through interviews, physical examinations, and medical records. Risk variables encompassed hypertension, diabetes, dyslipidaemia, tobacco use, alcohol use, sedentary lifestyle, dietary practices, age, gender, and familial history of cardiovascular disease. The outcomes were all-cause mortality, cardiovascular mortality, hospitalisation, major adverse cardiovascular events (MACE), quality of life as measured by the Minnesota Living with Heart Failure Questionnaire (MLHFQ), and functional level according to the New York Heart Association (NYHA) classification. Statistical analyses including t-tests, Chi-square tests, logistic regression and Cox regression.

Results

The findings indicated that hypertension (71.8% vs. 38.5%, p < 0.001), diabetes (47.9% vs. 28.2%, p = 0.002), dyslipidaemia (54.7% vs. 41.0%, p = 0.04), smoking (42.7% vs. 29.1%, p = 0.03), and physical inactivity (65.8% vs. 41.9%, p < 0.001) were more prevalent in cases. Cases exhibited increased hospitalisations (1.8 ± 1.2 vs. 0.7 ± 0.9, p < 0.001), prolonged stays (10.5 ± 5.4 vs. 6.2 ± 3.8 days, p < 0.001), elevated 30-day rehospitalisation rates (21.4% vs. 8.5%, p = 0.007), and a greater incidence of intensive care units (ICU) admissions (17.1% vs. 6.0%, p = 0.01). All-cause mortality (35.9% vs. 17.1%, p = 0.001), cardiovascular mortality (25.6% vs. 10.3%, p = 0.003), and MACE (51.3% vs. 25.6%, p < 0.001) were greater in cases. Quality of life (45.8 ± 12.4 vs. 25.6 ± 10.3, p < 0.001) and functional status (55.6% vs. 23.9%, p < 0.001) were inferior in cases.

Conclusion

CHF patients had greater rates of modifiable risk variables and worse clinical outcomes than controls, underscoring the necessity for comprehensive risk management.

The association between the triglyceride‒glucose index and short-term mortality in ICU patients with sepsis-associated acute kidney injury

BACKGROUND

The triglyceride-glucose (TyG) index has emerged as a novel marker for insulin resistance and is commonly observed in patients suffering from sepsis-associated acute kidney injury (SA-AKI). This study explored the correlation between the TyG index and short-term all-cause mortality among SA-AKI patients.

METHODS

We performed a retrospective analysis of ICU patients with SA-AKI using data from the MIMIC-IV database. The primary outcomes were 28-day and 90-day all-cause mortality. Multivariate Cox proportional hazards regression, restricted cubic spline (RCS) models, and Kaplan‒Meier (K‒M) survival analyses were used to examine the associations between the TyG index and mortality. Subgroup and sensitivity analyses were conducted to ensure the robustness of the findings.

RESULTS

The study included 4971 SA-AKI patients, with 2873 males (57.8%), an average age of 65.4 years (± 15.8), and an average TyG index of 9.10 (± 0.70). RCS analysis revealed a U-shaped relationship between the TyG index and mortality. When the TyG index was below 9.04, the risk of mortality at both 28 days and 90 days was reduced (adjusted HRs of 0.695, 95% CI: 0.542-0.890 and 0.691, 95% CI: 0.557-0.858, respectively). In contrast, values above 9.04 were associated with increased mortality, though the relationship was not statistically significant (adjusted HRs of 1.026, 95% CI: 0.855-1.231 and 1.012, 95% CI: 0.863-1.188, respectively). K‒M analysis revealed higher mortality rates for patients with either high (T3) or low (T1) TyG indices than for those with moderate (T2) TyG indices. Sensitivity analyses confirmed these associations even after excluding patients with diabetes, cerebrovascular diseases, or ICU stays of less than 2 days.

CONCLUSION

The TyG index is significantly and nonlinearly associated with short-term all-cause mortality in SA-AKI patients; however, establishing a causal relationship between the two requires validation through larger prospective studies.

Association between TyG related parameters and metabolic dysfunction associated fatty liver disease among nondiabetic individuals

Metabolic dysfunction associated fatty liver disease (MAFLD) is a prevalent liver condition and presents a major clinical and public health problem worldwide. TyG index and its related parameters TyG-WHtR, TyG-WC and TyG-BMI have been proven to label insulin resistance reliably, which makes it an important parameter to reflect the composition and health status of human body. Recent studies in the general population have demonstrated that there exists a correlation between elevated TyG index and the development of MAFLD, but in the nondiabetic US population, this correlation remains unclear. We included 945 nondiabetic adult participants from NHANES 2017-2020 cycle in this cross-sectional study. To find the relationship that exists between TyG, TyG-WHtR, TyG-WC, TyG-BMI, HOMA-IR, QUICKI and the risk of MAFLD, we used four conventional multivariate adjusted logistic regression models, plotted the RCSs to conduct this study, analyzed the thresholds using a two-stage logistic model. We performed stratified and interaction analyses to identify whether the relationships were stable in different subgroups. Moreover, we assessed the predictive ability of these parameters for MAFLD by plotting ROCs. We found that there was a positive correlation between TyG index and the incidence of MAFLD as well as its related parameters in the nondiabetic population.

Association between non-insulin-based insulin resistance indicators and frailty progression: a national cohort study and mendelian randomization analysis

BACKGROUND

Insulin resistance (IR) is linked to an increased risk of frailty, yet it remains unclear whether the non-insulin-based IR indicators are associated with frailty trajectories and physical function decline. It aimed to examine the associations of triglyceride-glucose (TyG) index, metabolic score for insulin resistance (METS-IR), estimated glucose disposal rate (eGDR) and with long-term deficit-accumulation frailty trajectories and physical function decline.

METHODS

Data from 6722 participants in the China Health and Retirement Longitudinal Study (CHARLS) were analyzed. Baseline TyG index, METS-IR, eGDR, along with the frailty index (FI) over nine years, were calculated. FI trajectories were assessed using group-based trajectory model (GBTM). Logistic regression models were used to analyze the associations between IR indicators with FI trajectory and frailty risk. Restricted cubic splines (RCS) models were utilized to detect potential dose-response associations. Linear mixed-effects model was used to evaluate associations with FI development speed. Age, gender, educational level, marital status, smoking status, drinking status, life satisfaction, social activity and sleep duration were adjusted. Additionally, a two-sample Mendelian randomization (MR) was performed to assess the causality of observed associations.

RESULTS

Three FI trajectories including low-stable frailty, moderate-increasing frailty, and accelerated rising frailty were identified. Regarding the frail risk, each SD increment in TyG index was associated with a 16.1% increase in the risk of frailty (OR = 1.161; 95%CI: 1.092, 1.235). An inverse association was observed for eGDR with the OR (95%CI) being 0.741 (0.696, 0.788). A linear relationship was observed between baseline TyG index and frailty risk (P nonlinear = 0.696), but nonlinear association patterns for eGDR (P nonlinearity < 0.010) and METS-IR (P nonlinearity < 0.010). Each SD increment of TyG index was associated with greater FI increase (β = 0.005 SD/y; 95%CI = 0.002, 0.008 SD/y; P < 0.001). A similar association pattern was observed for METS-IR, and participants in the highest quartile of METS-IR showed significantly greater FI progression, with β value of 0.013 (95% CI = 0.004, 0.022). Each SD increment of eGDR was associated with a slower increase in FI (β=-0.006 SD/y, 95% CI=-0.009, -0.003 SD/y; P < 0.001). Participants in the highest quartile of eGDR presented a lower annual change in FI compared with participants in quartile 1 group during follow-up (β=-0.013 SD/y, 95% CI=-0.022, -0.005 SD/y; P for trend = 0.001). Similar findings were observed for physical function decline. Findings from MR analysis showed a causal relationship between higher TyG index and increased risk of frailty (β = 0.214, 95% CI = 0.079, 0.349; P = 0.002).

CONCLUSIONS

The non-insulin-based IR indicators, including TyG index, METS-IR and eGDR, were independently associated with the frailty progression and physical function decline. Monitoring and managing abnormal glucose metabolism should be recommended as a part of comprehensive strategies to prevent or delay the progression of frailty.

Triglyceride-glucose index and the prognosis of patients with heart failure: A meta-analysis

The triglyceride-glucose index (TyGI) is a novel indicator of insulin resistance, which has been associated with an increased risk of cardiovascular diseases. The aim of this meta-analysis was to determine the association between TyGI and the prognosis of patients with heart failure (HF). Cohort studies relevant to the aim of the meta-analysis were retrieved by searching electronic databases, including PubMed, Web of Science, and Embase. A random-effects model was used to combine the data, incorporating the influence of between-study heterogeneity. Twelve studies involving 20,639 patients with HF were included. Pooled results showed that compared to patients with the lowest category of TyGI at baseline, those with the highest TyGI index were associated with a higher risk of all-cause mortality during follow-up (relative risk [RR] 1.71, 95% confidence interval [CI] 1.46 - 2.00; P < 0.001; I² = 55%). Sensitivity analyses limited to studies after adjustment for confounding factors showed similar results (RR 1.89, 95% CI 1.67 - 2.21; P < 0.001; I² = 13%). Subsequent meta-analyses also showed that a high TyGI at baseline was related to the incidence of cardiovascular death (RR 1.87, 95% CI 1.42 - 2.47; P < 0.001; I² = 57%), HF rehospitalization (RR 1.33, 95% CI 1.04 - 1.69; P < 0.02; I² = 46%), and major adverse cardiovascular events (RR 1.69, 95% CI 1.39 - 2.06; P < 0.001; I² = 17%) during follow-up. In conclusion, a high TyGI may be associated with a poor clinical prognosis for patients with HF.

Inflammatory markers link triglyceride-glucose index and obesity indicators with adverse cardiovascular events in patients with hypertension: insights from three cohorts

BACKGROUND

Among hypertensive cohorts across different nations, the relationship between the triglyceride-glucose index (TyG) and its conjunction with obesity metrics in relation to cardiovascular disease (CVD) incidence and mortality remains to be elucidated.

METHODS

This study enrolled 9,283, 164,357, and 5,334 hypertensives from the National Health and Nutrition Examination Survey (NHANES), UK Biobank (UKBB), and Shanghai Pudong cohort. The related outcomes for CVD were defined by multivariate Cox proportional hazards models, Generalized Additive Models and Mendelian randomization analysis. Mediation analysis explored the mediating role of inflammatory markers in the above relationships.

RESULTS

Five measures of insulin resistance were linked to CVD and related death in a U-shaped pattern, with the highest group having different risk increases. Higher glucose triglyceride-waist height ratio (TyG-WHTR) was linked to higher all-cause mortality (UKBB: HR 1.21, 95%CI 1.16-1.26, NHANES: HR 1.17, 95%CI 1.00-1.36), CVD mortality (UKBB: HR 1.36, 95%CI 1.23-1.49, NHANES: HR 1.32, 95%CI 1.00-1.72) risks. In the China Pudong cohort, higher triglyceride/high-density lipoprotein-cholesterol (TG/HDL_C) ratio was associated with higher risks of CVD and stroke (HR 1.31, 95%CI 1.00-1.73 and 1.67, 1.06-2.63). Inflammation markers like systemic inflammatory response index (SIRI) and C-reactive protein (CRP) partially explained these links, with CRP having a stronger effect. Genetically predicted TyG was also linked to stroke (OR 1.26, 95%CI 1.10-1.45) risk.

CONCLUSIONS

An elevated TyG index and its related indices are significantly correlated with an increased risk of CVD and related mortality across three national cohorts. These indices are anticipated to serve as valid predictors of incident CVD and mortality in individuals with hypertension.

Arthritis and Public Health Monitoring: Longitudinal Changes of Triglyceride-Glucose Index Associated with Arthritis in a Cohort of Older Chinese Adults

The current decade 2021-2030 was designated by the United Nations as the decade of healthy aging, which underlines the need for public health innovation for arthritis clinical care. The triglyceride-glucose (TyG) index is a novel and emerging parameter closely associated with diabetes and cardiovascular diseases and has been suggested to indicate the risk of arthritis. This study examined the longitudinal changes of TyG levels in relation to arthritis among a nationwide cohort of older Chinese adults. We recruited 1257 participants from a national cohort of older Chinese adults, the Chinese Longitudinal Healthy Longevity Survey. On the basis of the longitudinal changes in TyG between 2012 and 2014, we performed a k-means clustering analysis to classify the participants into four TyG groups: Class 1 with moderate and stable levels of TyG; Class 2 with low but rising level of TyG; Class 3 with consistently high TyG; and Class 4 with high and TyG-level rise compared with the baseline. After a 2-year follow-up, logistic regression was used to identify the association between TyG and the onset of arthritis. Compared with individuals in Class 1, those in Class 3 and Class 4 experienced a higher risk of arthritis, with an odds ratio (OR) of 2.823 (95% confidence interval [CI]: 1.113-7.160) and 2.848 (95% CI: 1.299-6.246), respectively. To the best of our knowledge, this is the first study exploring the association between dynamic longitudinal changes in TyG and arthritis. Further studies on world populations are called for.

Triglyceride-glucose index (TyG) as a novel biomarker in the era of cardiometabolic medicine

In the period of increasing prevalence of metabolic disorders such as obesity and diabetes, healthcare professionals are facing significant challenges. Therefore, an accurate global assessment of insulin resistance is of utmost importance. Current medical research is focused on identifying an easily accessible and reproducible gold-standard surrogate marker for insulin resistance. Ideally, such a marker would enable healthcare providers to predict the risk of type 2 diabetes and cardiovascular diseases. The triglyceride-glucose index (TyG) is a promising marker for preventive cardiology and cardiometabolic medicine. This narrative review article aims to provide a comprehensive evaluation of the credibility of TyG as a surrogate marker of insulin resistance among patients at different stages across the cardiometabolic continuum. This assessment fully complies with evidence-based medicine and offers valuable insight into the clinical utility of TyG.

Relationships among Helicobacter pylori seropositivity, the triglyceride-glucose index, and cardiovascular disease: a cohort study using the NHANES database

BACKGROUND

Helicobacter pylori (H. pylori), a widely prevalent pathogen that can be cured through relatively simple medical methods, is thought to be potentially associated with the risk of cardiovascular diseases (CVD), although controversy remains. Currently, it is unclear whether the triglyceride-glucose index (TGI), a classic indicator of insulin resistance, influences the relationship between H. pylori infection and CVD. The present work explored the relationships between H. pylori seropositivity, the TGI and CVD, and the potential effect of TGI in this association.

METHODS

In this cross-sectional and cohort study, data from the National Health and Nutrition Examination Survey (NHANES) III (1988-1994) and NHANES (1999-2000) were used. The effects of the TGI, H. pylori seropositivity, and their interaction on the risk of CVD were assessed using logistic regression models. The hazard ratios (HRs) and 95% confidence intervals (CI) for all-cause mortality (ACM) were calculated using the Cox proportional hazards model. Restricted cubic spline (RCS) curves were employed to investigate potential non-linear or linear relationships among the TGI, H. pylori seropositivity, occurrence of CVD, and ACM. Mediation analyses were employed to assess the potential effects of H. pylori seropositivity and TGI on the risk of CVD and mortality.

RESULTS

Of the 9,399 participants, 4,488 (47.75%) were H. pylori-immunoglobulin G (IgG)-positive, and 3,934 (41.86%) were diagnosed with CVD. In the general population, participants with a TGI ≥ 75th percentile who were positive for H. pylori-IgG antibody had the highest risk of developing CVD (odds ratio = 1.487; 95% CI: 1.088-2.033). Among patients with CVD, those with a TGI ≥ 75th percentile & positive for H. pylori-IgG antibody were at a higher ACM risk (HR = 1.227; 95% CI: 1.009-1.491). H. pylori exhibited a significant mediating effect on CVD occurrence (Pindir = 0.004) and mortality (Pindir = 0.004) via the TGI.

CONCLUSIONS

H. pylori seropositivity may indirectly elevate the risk of CVD and mortality via the TGI. Combining the patient's H. pylori serological status with their TGI could enhance the predictive ability for CVD occurrence and related mortality. Therefore, the clinical practice of screening for and eradicating H. pylori in CVD patients may be anticipated.

L-shaped association between triglyceride-glucose body mass index and short-term mortality in ICU patients with sepsis-associated acute kidney injury

Background

Sepsis is a systemic inflammatory response syndrome, with sepsis-associated acute kidney injury (SA-AKI) being a common complication. Insulin resistance (IR) is closely related to the stress response, inflammatory response, and severity of critical illness. The triglyceride-glucose body mass index (TyG-BMI) is a valuable tool for assessing IR. However, the relationships between TyG-BMI and clinical outcomes in patients with SA-AKI remain unclear.

Methods

We conducted a retrospective analysis of ICU patients with SA-AKI using data from the MIMIC-IV database. The Boruta algorithm was employed to select significant features for predicting short-term mortality in SA-AKI patients. Multivariate Cox proportional hazards regression, sensitivity analysis, restricted cubic spline (RCS) models, and Kaplan-Meier (K-M) survival analysis were used to assess the relationship between TyG-BMI and short-term mortality in SA-AKI patients. Subgroup analyses considered the effects of age, sex, ethnicity, comorbidities and septic shock.

Results

This study included 3,349 patients, with males accounting for 60.5% of the patients. The Boruta analysis identified the TyG-BMI as an important clinical feature. Higher TyG-BMI values were significantly associated with reduced short-term mortality rates (28, 90, and 180 days) in patients with SA-AKI; for each standard deviation increase in TyG-BMI, the risk of all-cause death decreased by 0.2% (p < 0.0001). Kaplan-Meier analysis demonstrated that patients with high TyG-BMIs had significantly lower mortality rates than did those with low TyG-BMIs. The RCS model revealed an L-shaped nonlinear relationship between the TyG-BMI and mortality. Sensitivity analyses indicated that the association remained significant even after excluding patients with myocardial infarction, congestive heart failure, or those who were hospitalized in the ICU for less than 2 days. Subgroup analyses revealed a significant interaction effect on short-term mortality in CRRT patients (p < 0.05).

Conclusion

The relationship between the TyG-BMI and short-term mortality in ICU patients with SA-AKI is significant, indicating its potential value for early risk assessment and clinical intervention.

Association between triglyceride-glucose index and the risk of heart failure hospitalization in older diabetic patients received right ventricular pacing: a retrospective cohort study

BACKGROUND

The prognostic value of triglyceride-glucose (TyG) index is not yet known for older diabetic patients received right ventricular pacing (RVP). We aimed to investigate the association between TyG index and the risk of heart failure hospitalization (HFH) in older diabetic patients received RVP.

METHODS

This study was conducted between January 2017 and January 2018 at Fuwai Hospital, Beijing, China, and included older (age ≥ 65 years) diabetic patients that received RVP for the first time. TyG index were obtained before implantation. The primary endpoint was HFH.

RESULTS

A total of 231 patients were divided into three groups according to the tertiles of TyG index: < 8.5 (T1, N = 77), 8.5-9.1 (T2, N = 77), and > 9.1 (T3, N = 77). T3 group had higher rate of HFH (Log-rank = 11.7, P = 0.003). Multivariate analyses showed that, TyG index served as an independent predictor for HFH, both as numerical variable (HR = 1.94, 95% CI 1.21-3.11, P = 0.006), and as categorical variable (HR = 2.31, 95% CI 1.09-4.89, P = 0.03). RCS demonstrated that the risk of HFH was relatively low until TyG index exceeded 8.8, beyond which the risk began to increase rapidly (P-non-linear = 0.006).

CONCLUSION

Preimplantation TyG index emerges as a robust, independent predictor for HFH in older diabetic patients received RVP, and TyG index > 8.8 might be the optimal cut-off value.

Pathways from insulin resistance to incident cardiovascular disease: a Bayesian network analysis

BACKGROUND

Insulin resistance coexist with many metabolic disorders, whether these disorders were promotors or pathway-factors for the association of insulin resistance and cardiovascular disease (CVD) remained unclear. We aimed to investigate the pathways related to elevated the triglyceride-glucose (TyG) index and pathways through elevated TyG index to the occurrence of CVD in Chinese adults.

METHODS

A total of 96,506 participants were enrolled from the Kailuan study. Bayesian network model with the max-min hill climbing algorithm and maximum likelihood estimation was applied to identify factors and pathways related to the TyG index, and quantitatively infer the impact of associated factors on elevated TyG index and the occurrence of CVD by computing conditional probabilities.

RESULTS

A final Bayesian network was constructed with 14 nodes and 25 arcs, creating 28 pathways related to elevated TyG index and 8 pathways from elevated TyG index to CVD. Elevated TyG index was causally associated with CVD, the condition probability was 11.9%. Pathways to elevated TyG index were mainly through unhealthy lifestyles and the subsequent increase in lipid profiles, especially smoking and low-density lipoprotein cholesterol. The most important pathway from elevated TyG index to CVD was through overweight/obesity, hypertension, and chronic kidney disease, with a condition probability of 18.5%. The maximum relative change rate related to elevated TyG index was observed for overweight/obesity (64.3%).

CONCLUSIONS

Elevated TyG index was causally associated with the risk of CVD, a combined control of lifestyles and metabolic factors may contribute to the reduction of TyG index and the prevention of CVD.

Machine learning for predicting in-hospital mortality in elderly patients with heart failure combined with hypertension: a multicenter retrospective study

BACKGROUND

Heart failure combined with hypertension is a major contributor for elderly patients (≥ 65 years) to in-hospital mortality. However, there are very few models to predict in-hospital mortality in such elderly patients. We aimed to develop and test an individualized machine learning model to assess risk factors and predict in-hospital mortality in in these patients.

METHODS

From January 2012 to December 2021, this study collected data on elderly patients with heart failure and hypertension from the Chongqing Medical University Medical Data Platform. Least absolute shrinkage and the selection operator was used for recognizing key clinical variables. The optimal predictive model was chosen among eight machine learning algorithms on the basis of area under curve. SHapley Additive exPlanations and Local Interpretable Model-agnostic Explanations was employed to interpret the outcome of the predictive model.

RESULTS

This study ultimately comprised 4647 elderly individuals with hypertension and heart failure. The Random Forest model was chosen with the highest area under curve for 0.850 (95% CI 0.789-0.897), high accuracy for 0.738, recall 0.837, specificity 0.734 and brier score 0.178. According to SHapley Additive exPlanations results, the most related factors for in-hospital mortality in elderly patients with heart failure and hypertension were urea, length of stay, neutrophils, albumin and high-density lipoprotein cholesterol.

CONCLUSIONS

This study developed eight machine learning models to predict in-hospital mortality in elderly patients with hypertension as well as heart failure. Compared to other algorithms, the Random Forest model performed significantly better. Our study successfully predicted in-hospital mortality and identified the factors most associated with in-hospital mortality.

Association between triglyceride glucose index and endometriosis in adults in the United States: A comprehensive study from the National Health and Nutrition Examination Survey (NHANES)

BACKGROUND

The triglyceride glucose (TyG) index has been well recognized as a reliable marker of insulin resistance and substantially correlated with the pathogenesis and progression of hypertension and cardiovascular diseases. However, no study has investigated the association between the TyG index and endometriosis. Therefore, this study aimed to uncover an association between the TyG index and endometriosis.

METHODS

This cross-sectional investigation employed the extensive dataset derived from the National Health and Nutrition Examination Survey (NHANES) (1999-2006). To explore the potential connection between the TyG and endometriosis, a multivariate weighted logistic regression model was established. The nonlinear relationship between the TyG index and the risk of endometriosis was explored using restricted cubic spline models (RCS). Furthermore, subgroup analyses were conducted.

RESULTS

Ultimately, 2,508 individuals were included in this investigation. The findings unveiled a robust positive correlation between the TyG index and the susceptibility to endometriosis (OR [95% CI]: 1.52 [1.024,2.258]; P < 0.05). This positive association remained consistent across diverse subgroups. Age, birthplace, and whether one ovary was removed were identified as significant risk factors. In RCS analysis, the TyG index showed a nearly linear relationship with the risk of endometriosis (P-nonlinear > 0.05).

CONCLUSIONS

The findings indicate a positive association between the TyG index and the risk of endometriosis, exhibiting an approximate non-linear relationship.

Triglyceride-glucose index improves risk prediction beyond traditional risk factors and hypertension mediated organ damage in healthy adults

BACKGROUND AND AIMS

Triglyceride-glucose (TyG) index, a surrogate measure of insulin resistance, is associated with hypertension mediated organ damage (HMOD) and cardiovascular disease. This study investigated the association between TyG index and major adverse cardiovascular events (MACE) and its interaction with traditional risk factors and HMOD.

METHODS AND RESULTS

Healthy subjects recruited from the general population were thoroughly examined and followed for MACE using nation-wide registries. Cox proportional hazard models were used to calculate the association between TyG index and MACE occurrence. Models were adjusted for Systematic Coronary Risk Evaluation (SCORE) risk factors, pulse wave velocity, left ventricular mass index, carotid atherosclerotic plaque status, and microalbuminuria. Continuous net reclassification and Harrell's Concordance index (C-index) were used to assess the added prognostic value of TyG index. During a follow-up period of mean 15.4 ± 4.7 years, MACE were observed in 332 (17%) of 1970 included participants. TyG index was associated with MACE; HR = 1.44 [95%CI:1.30-1.59] per standard deviation. After adjustment for traditional cardiovascular (CV) risk factors, HR was 1.16 [95%CI:1.03-1.31]. The association between TyG index and MACE remained significant after further adjustment for each HMOD component. However, this finding was evident only in subjects aged 41 or 51 years (HR = 1.39; 95%CI:1.15-1.69). Including TyG index in a risk model based on traditional CV risk factors improved C-index with 0.005 (P = 0.042).

CONCLUSION

In this population-based study of healthy middle-aged subjects, TyG index was associated with MACE independently of traditional CV risk factors and HMOD. TyG index may have a potential role in future risk prediction systems.

The levels of systemic inflammatory markers exhibit a positive correlation with the occurrence of heart failure: a cross-sectional study from NHANES

Background

We conducted a large-scale epidemiological analysis to investigate the associations between systemic inflammation markers and heart failure (HF). Our aim is to identify potential biomarkers for early detection of HF.

Methods

A cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey. We investigated the associations between five systemic inflammation markers (neutrophil to lymphocyte ratio [NLR], platelet to lymphocyte ratio [PLR], systemic immune inflammation index [SII], system inflammation response index [SIRI], and aggregate index of systemic inflammation [AISI]) and the risk of HF.

Results

The prevalence rates of HF exhibited a gradual increase across increasing logNLR, logPLR, logSII, logSIRI, and logAISI tertiles. Compared to those in the highest tertiles of logNLR, logSII, logSIRI, and logAISI had a 1.579-fold, 1.341-fold, 1.956-fold, and 1.499-fold increased risk of HF compared to those in the lowest tertile respectively. Conversely, there was no significant correlation between logPLR and HF risk among subjects in the highest tertile. The restricted cubic splines (RCS) analysis revealed a non-linear relationship between the elevation of systemic inflammation markers and HF prevalence. Specifically, a per standard deviation increase in any of these variables is associated with a respective 45%, 29%, 28%, 44% and 29% increase in HF prevalence. The receiver operating characteristic (ROC) analysis demonstrated favorable sensitivity and specificity of these systemic inflammation markers in detecting the presence of HF.

Conclusion

Our cross-sectional study demonstrates significant positive correlations between the NLR, PLR, SII, SIRI, and AISI with the incidence of HF.

The Triglyceride-Glucose Index as a Marker in Idiopathic Restless Legs Syndrome

Background and objective Restless legs syndrome (RLS) is more common in diabetic patients than in the general population. In this study, we aimed to explore the association between idiopathic RLS and the triglyceride-glucose (TyG) index, which is a simple and accessible marker of insulin resistance (IR). Materials and methods The study included 200 patients diagnosed with RLS according to the International Restless Study Group criteria, as well as 112 healthy volunteers. We interpreted the variables related to TyG and RLS by using the Pearson correlation coefficient and independent samples t-test. Multivariate linear regression analyses and receiver operating characteristic (ROC) curve analyses were employed to demonstrate the discriminatory power of the variables. Results The mean age of the patients with RLS was 44.73 ±11.29 years, and 71.5% (n=43) were female. The level of triglycerides, as well as BMI and TyG index, were significantly higher in patients with RLS compared to the control group (p=0.040, p=0.001, p=0.019, respectively). The TyG index showed a positive correlation with both disease duration (months) and BMI (r=0.281, p=0.000; r=0.507, p=0.000). The results of the multivariate regression analysis indicated a linear relationship between the TyG index and increasing RLS severity and BMI (β=0.286, t=4.199, p=0.000; β=0.041, t=6.754, p=0.000). Conclusions Our study revealed a direct correlation between the TyG index and increased disease severity, disease duration, and BMI in RLS. The findings indicate that the TyG index may serve as a valuable marker for RLS severity and high BMI.

[Association Between Triglyceride Glucose Index and Triglyceride Glucose-Obesity Composite Indices and the Risk of Ischemic Heart Disease]

Objective

To explore the association between the triglyceride-glucose index (TyG) and TyG-obesity composite indices, including TyG-waist circumference (TyG-WC), TyG-body mass index (TyG-BMI), and TyG-waist-to-height ratio (TyG-WHtR), and the risk of ischemic heart disease (IHD), and to provide reference for the prevention of IHD.

Methods

The sample of this study was derived from the West China Elderly Preventive and Treatment Merging Cohort, from which 9628 elderly individuals from the retrospective cohort were selected. Cox regression models were used to analyze the association between TyG-related indices and the risk of IHD. Receiver operating characteristic (ROC) curves were plotted to assess and compare the performance of TyG-related indices in predicting the occurrence of IHD.

Results

The participants were followed up for a median of 2.82 years, with 7.2% (694/9628) of the participants experiencing IHD events. Multivariate Cox regression showed that after controlling for the covariates, including sex, age, educational attainment, smoking, drinking, exercise, dietary habits, medication history, and whether the participant had hypertension, every time TyG, TyG-WC, TyG-BMI and TyG-WHtR increased by one standard deviation (SD), the risk of IHD increased by 12% (hazard ratio [HR]=1.12, 95% confidence interval [CI]: 1.04-1.20), 21% (HR=1.21, 95% CI: 1.12-1.31), 20% (HR=1.20, 95% CI: 1.12-1.29), and 19% (HR=1.19, 95% CI: 1.10-1.28), respectively. Both the TyG index and TyG-obesity composite indices were positively correlated with IHD risk, showing a linear relationship (P<0.05). TyG-WC (area under the curve[AUC]=0.680, 95% CI: 0.660-0.700, P<0.001), TyG-BMI (AUC=0.674, 95% CI: 0.654-0.695, P<0.001), and TyG-WHtR (AUC=0.678, 95% CI: 0.658-0.698, P<0.001) demonstrated better predictive performance than TyG did (AUC=0.669, 95% CI: 0.648-0.689, P<0.001).

Conclusion

Elevated levels of TyG and TyG-obesity composite indices were associated with a higher risk for IHD, and combining TyG with BMI, WC, and WHtR may lead to better performance in risk assessment for IHD than using TyG alone.

Beneficial Effect of Dietary Approaches to Stop Hypertension Diet Combined with Regular Physical Activity on Fat Mass and Anthropometric and Metabolic Parameters in People with Overweight and Obesity

BACKGROUND/OBJECTIVE

Obesity and overweight have become growing health-related issues worldwide, which also applies to Poland. Excess fat mass is associated with an increased risk of metabolic and non-metabolic complications. The aim of our pre-post-designed study was to assess the effect of behavioral intervention on body weight, fat mass and anthropometric and metabolic parameters in obese and overweight individuals.

METHODS

The study included one hundred people (85 women) with excess fat mass who voluntarily declared their willingness to participate in the weight-loss program consisted of 12 weeks of the DASH diet combined with regular, supervised physical activity. Anthropometric measurements and laboratory tests were performed in all study participants, and anthropometric and metabolic indices were calculated at baseline and after three months of treatment.

RESULTS

Body weight decreased significantly by 5.63 ± 4.03 kg, BMI by 2.06 ± 1.44 kg/m2, waist circumference by 5.6 ± 3.7 cm, fat mass from 40.04 ± 6.90 to 36.56 ± 7.07% and uric acid level by 16.0 ± 41.6 μmol/L (p < 0.001 in all cases). We also found an improvement in lipid profile and anthropometric and metabolic indices, except for HDL cholesterol and plasma glucose levels.

CONCLUSIONS

The effect of the DASH diet and supervised physical activity was beneficial regardless of age, sex and the presence of hypertension or dysglycemia at baseline. The implementation of a healthy lifestyle was associated with a significant improvement in anthropometric and metabolic parameters, which, if continued, may reduce the risk of unfavorable health-related outcomes in the future.

The differential effects of dyslipidemia status and triglyceride-glucose index on left ventricular global function and myocardial microcirculation in diabetic individuals: a cardiac magnetic resonance study

BACKGROUND

It remains unclear whether the association between dyslipidemia status and triglyceride-glucose (TyG) index with myocardial damage varies in the context of type 2 diabetes mellitus (T2DM). This study aimed to determine the differential effects of dyslipidemia status and TyG index on left ventricular (LV) global function and myocardial microcirculation in patients with T2DM using cardiac magnetic resonance (CMR) imaging.

METHODS

A total of 226 T2DM patients and 72 controls who underwent CMR examination were included. The T2DM group was further categorized into subgroups based on the presence or absence of dyslipidemia (referred to as T2DM (DysL+) and T2DM (DysL-)) or whether the TyG index exceeded 9.06. CMR-derived LV perfusion parameters, remodeling index, and global function index (GFI) were assessed and compared among groups. A multivariable linear regression model was employed to evaluate the effects of various variables on LV myocardial microcirculation, remodeling index, and GFI.

RESULTS

The LV GFI sequentially decreased in controls, T2DM (DysL-), and T2DM (DysL+) groups (p < 0.001), and was lower (p = 0.003) in T2DM with higher TyG index group than in lower TyG index group. The LV remodeling index was higher in higher TyG index group than in lower TyG index group (p = 0.002), but there was no significant difference in whether the subgroup was accompanied by dyslipidemia. Multivariable analysis revealed that the TyG index, but not dyslipidemia status, was independently associated with LV remodeling index (β coefficient[95% confidence interval], 0.152[0.025, 0.268], p = 0.007) and LV GFI (- 0.159[- 0.281, - 0.032], p = 0.014). For LV myocardial microcirculation, perfusion index, upslope, and max signal intensity sequentially decreased in controls, T2DM (DysL-), and T2DM (DysL+) groups (all p < 0.001). Dyslipidemia status independently correlated with perfusion index (- 0.147[- 0.272, - 0.024], p = 0.02) and upslope (- 0.200[- 0.320, 0.083], p = 0.001), while TyG index was independently correlated with time to maximum signal intensity (0.141[0.019, 0.257], p = 0.023).

CONCLUSIONS

Both dyslipidemia status and higher TyG index were associated with further deterioration of LV global function and myocardial microvascular function in the context of T2DM. The effects of dyslipidemia and a higher TyG index appear to be differential, which indicates that not only the amount of blood lipids and glucose but also the quality of blood lipids are therapeutic targets for preventing further myocardial damage.

Triglyceride-glucose index correlates with the occurrence and prognosis of acute myocardial infarction complicated by cardiogenic shock: data from two large cohorts

BACKGROUND

Triglyceride-glucose (TyG) index, a dependable indicator of insulin resistance, has been identified as a valid marker regarding multiple cardiovascular diseases. Nevertheless, the correlation of TyG index with acute myocardial infarction complicated by cardiogenic shock (AMICS) remains uncertain. Our study aims for elucidating this relationship by comprehensively analyzing two large-scale cohorts.

METHODS

Utilizing records from the eICU Collaborative Research Database and the Medical Information Mart for Intensive Care IV, the link between TyG and the incidence and prognosis of AMICS was assessed multicentrally and retrospectively by logistic and correlation models, as well as restricted cubic spline (RCS). Propensity score matching (PSM), inverse probability of treatment weighting (IPTW), and overlap weighting (OW) were employed to balance the potential confounders. Subgroup analyses were performed according to potential modifiers.

RESULTS

Overall, 5208 AMI patients, consisting of 375 developing CS were finally included. The TyG index exhibited an apparently higher level in AMI populations developing CS than in those who did not experienced CS [9.2 (8.8-9.7) vs. 9.0 (8.5-9.5)], with a moderate discrimination ability to recognize AMICS from the general AMI (AUC: 0.604). Logistic analyses showed that the TyG index was significantly correlated with in-hospital and ICU mortality. RCS analysis demonstrated a linear link between elevated TyG and increased risks regarding in-hospital and ICU mortality in the AMICS population. An increased mortality risk remains evident in PSM-, OW- and IPTW-adjusted populations with higher TyG index who have undergone CS. Correlation analyses demonstrated an apparent link between TyG index and APS score. Subgroup analyses presented a stable link between elevated TyG and mortality particularly in older age, females, those who are overweight or hypertensive, as well as those without diabetes.

CONCLUSIONS

Elevated TyG index was related to the incidence of CS following AMI and higher mortality risks in the population with AMICS. Our findings pointed a previously undisclosed role of TyG index in regard to AMICS that still requires further validation.

Triglyceride-Glucose Index Levels Positively Associated with Higher Risk of Low Muscle Mass in Patients with Type 2 Diabetes

Aim

Although the interplay of insulin resistance (IR) and low muscle mass is increasingly recognized, it remains unknown whether the triglyceride-glucose (TyG) index, as an indicator of IR, is associated with low muscle mass in patients with type 2 diabetes (T2D). Our study aimed to investigate the association between TyG index and low muscle mass in hospitalized T2D patients.

Methods

This cross-sectional study involved 2687 hospitalized participants with T2D. The TyG index was calculated by fasting plasma glucose (FPG) and triglyceride levels. The outcome variables were defined as appendicular skeletal muscle mass index (ASMI) and low muscle mass. To explore the relationship between TyG index and low muscle mass, we conducted the multivariate linear regression, multivariate logistic regression, and subgroup analysis.

Results

In the fully adjusted multivariate linear regression, there was a negative correlation between TyG index (β=-0.10, 95% CI: -0.14, -0.06) and ASMI. TyG index (OR = 1.34, 95% CI: 1.08, 1.65) had a more significant association with low muscle mass compared to FPG (OR = 1.05, 95% CI: 1.01, 1.09) and glycated hemoglobin A1c (OR = 1.07, 95% CI: 0.99, 1.15). The statistical significance of the trend persisted among the TyG index quartile groups. Subgroup analysis revealed stronger positive associations between TyG index and low muscle mass in females, individuals aged 60 years or older, those with a body mass index of 28kg/m2 or higher, and HbA1c levels of 6.5% or higher, as well as those with hypertension and dyslipidemia.

Conclusion

A higher TyG index level is positively associated with a higher risk of low muscle mass, suggesting that TyG index could be a potential biomarker of low muscle mass in hospitalized T2D patients.

The association of triglyceride-glucose index and combined obesity indicators with chest pain and risk of cardiovascular disease in American population with pre-diabetes or diabetes

Aim

To investigate the correlation of the triglyceride-glucose (TyG) index and its combined obesity indicators with chest pain and cardiovascular disease (CVD) in the pre-diabetes and diabetes population.

Methods

This cross-sectional investigation encompassed 6488 participants with diabetes and pre-diabetes who participated in the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2016. The association of the TyG and combined obesity index with chest pain and CVD was investigated using weighted logistic regression models and restricted cubic spline (RCS) analysis. The receiver operating characteristic (ROC) curve analysis was performed to compare different indicators.

Results

In multivariate logistic regression fully adjusted for confounding variables, our analyses revealed significant associations between TyG, TyG-BMI, TyG-WC, and TyG-WHtR and chest pain, with adjusted ORs (95% CI) of 1.21 (1.05, 1.39), 1.06 (1.01, 1.11), 1.08 (1.04, 1.14), and 1.27 (1.08, 1.48), respectively. For total-CVD, the adjusted ORs (95% CI) were 1.32 (1.08, 1.61), 1.10 (1.03, 1.17), 1.13 (1.06, 1.19), and 1.63 (1.35, 1.97), respectively, among which TyG, TyG-WC, and TyG-WHtR present curvilinear associations in RCS analysis (all P-nonlinear < 0.05). Furthermore, the ROC curve showed that TyG-WC had the most robust predictive efficacy for total-CVD, coronary heart disease (CHD), and myocardial infarction (MI), while TyG-WHtR had the best predictive ability for angina and heart failure.

Conclusion

There are significant associations of TyG and its related indicators with chest pain and total-CVD among the pathoglycemia population. TyG-WC and TyG-WHtR demonstrated superior predictive capability for the incidence of cardiovascular events.

Control for multiple risk factors and incident heart failure and mortality in patients with diabetes mellitus: Insights from the Kailuan cohort study

BACKGROUND

This study evaluated the relationship between controlling multiple risk factors and diabetes-related heart failure and all-cause mortality, and the extent to which the excess risk can be reduced.

METHODS

17,676 patients with diabetes and 69,493 matched non-diabetic control subjects were included in the Kailuan study, with a median follow-up of 11.19 years. The risk factor control was defined by the attainment of target values for systolic blood pressure, body mass index, low-density lipoprotein cholesterol, fasting blood glucose, high-sensitive C-reactive protein and smoking. Fine-Gray and Cox models were used to estimate associations between the degree of risk factor control and risk of heart failure and all-cause mortality respectively.

RESULTS

Among diabetes patients, there was a gradual reduction in the risk of outcomes as the degree of risk factor control increased. For each additional risk factor that was controlled, there was an associated 16 % decrease in heart failure risk and a 10 % decrease in all-cause mortality risk. Among diabetes patients with ≥5 well-controlled risk factors, the adjusted hazard ratio compared to controls for heart failure and all-cause mortality was 1.25 (95 %CI: 0.99-1.56) and 1.17(95 %CI: 1.05-1.31) respectively. The protective effect of comprehensive risk factor control on the risk of heart failure was more pronounced in men and those using antihypertensive medications.

CONCLUSIONS

Control for multiple risk factors is associated with reduced heart failure and all-cause mortality risks in a cumulative and sex-specific manner. However, despite optimization of risk factor control, diabetes patients still face increased risks compared to the general population.

Adiposity modifies the association between heart failure risk and glucose metabolic disorder in older individuals: a community-based prospective cohort study

BACKGROUND

Glucose metabolic disorder is associated with the risk of heart failure (HF). Adiposity is a comorbidity that is inextricably linked with abnormal glucose metabolism in older individuals. However, the effect of adiposity on the association between glucose metabolic disorder and HF risk, and the underlying mechanism remain unclear.

METHODS

A total of 13,251 participants aged ≥ 60 years from a cohort study were categorized into euglycemia, prediabetes, uncontrolled diabetes, and well-controlled diabetes. Adiposity was assessed using body mass index (BMI), waist-to-hip ratio (WHR), and visceral fat area (VFA). Adiposity-associated metabolic activities were evaluated using adiponectin-to-leptin ratio (ALR), homeostatic model assessment of insulin resistance (HOMA-IR), and triglyceride-glucose index (TyG). The first occurrence of HF served as the outcome during the follow-up period.

RESULTS

A total of 1,138 participants developed HF over the course of an average follow-up period of 10.9 years. The rate of incident HF occurrence was higher in prediabetes, uncontrolled diabetes, and well-controlled diabetes participants compared to that in euglycemia participants. However, the high rates were significantly attenuated by BMI, VFA, and WHR. For WHR in particular, the hazard ratio for incident HF was 1.18 (95% confidence interval (CI): 1.03, 1.35, Padj.=0.017) in prediabetes, 1.59 (95% CI: 1.34, 1.90, Padj.<0.001) in uncontrolled diabetes, and 1.10 (95% CI: 0.85, 1.43, Padj.=0.466) in well-controlled diabetes. The population attributable risk percentage for central obesity classified by WHR for incident HF was 30.3% in euglycemia, 50.0% in prediabetes, 48.5% in uncontrolled diabetes, and 54.4% in well-controlled diabetes. Adiposity measures, especially WHR, showed a significant interaction with glucose metabolic disorder in incident HF (all Padj.<0.001). ALR was negatively associated and HOMA-IR and TyG were positively associated with BMI, WHR, VFA, and incident HF (all Padj.<0.05). ALR, HOMA-IR, and TyG mediated the associations for BMI, WHR and VFA with incident HF (all Padj.<0.05).

CONCLUSIONS

Adiposity attenuated the association of glucose metabolic disorder with incident HF. The results also showed that WHR may be an appropriate indicator for evaluating adiposity in older individuals. Adiposity-associated metabolic activities may have a bridging role in the process of adiposity attenuating the association between glucose metabolic disorder and incident HF.

TRIAL REGISTRATION

retrospectively registered number: ChiCTR-EOC-17,013,598.

Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis

OBJECTIVE

The present umbrella review aims to collate and summarize the findings from previous meta-analyses on the Triglyceride and Glucose (TyG) Index, providing insights to clinicians, researchers, and policymakers regarding the usefulness of this biomarker in various clinical settings.

METHODS

A comprehensive search was conducted in PubMed, Scopus, and Web of Science up to April 14, 2024, without language restrictions. The AMSTAR2 checklist assessed the methodological quality of the included meta-analyses. Statistical analyses were performed using Comprehensive Meta-Analysis (CMA) software.

RESULTS

A total of 32 studies were finally included. The results revealed significant associations between the TyG index and various health outcomes. For kidney outcomes, a high TyG index was significantly associated with an increased risk of contrast-induced nephropathy (CIN) (OR = 2.24, 95% CI: 1.82-2.77) and chronic kidney disease (CKD) (RR = 1.46, 95% CI: 1.32-1.63). High TyG index was significantly associated with an increased risk of type 2 diabetes mellitus (T2DM) (RR = 3.53, 95% CI: 2.74-4.54), gestational diabetes mellitus (GDM) (OR = 2.41, 95% CI: 1.48-3.91), and diabetic retinopathy (DR) (OR = 2.34, 95% CI: 1.31-4.19). Regarding metabolic diseases, the TyG index was significantly higher in patients with obstructive sleep apnea (OSA) (SMD = 0.86, 95% CI: 0.57-1.15), metabolic syndrome (MD = 0.83, 95% CI: 0.74-0.93), and non-alcoholic fatty liver disease (NAFLD) (OR = 2.36, 95% CI: 1.88-2.97) compared to those without these conditions. In cerebrovascular diseases, a higher TyG index was significantly associated with an increased risk of dementia (OR = 1.14, 95% CI: 1.12-1.16), cognitive impairment (OR = 2.31, 95% CI: 1.38-3.86), and ischemic stroke (OR = 1.37, 95% CI: 1.22-1.54). For cardiovascular outcomes, the TyG index showed significant associations with an increased risk of heart failure (HF) (HR = 1.21, 95% CI: 1.12-1.30), atrial fibrillation (AF) (SMD = 1.22, 95% CI: 0.57-1.87), and hypertension (HTN) (RR = 1.52, 95% CI: 1.25-1.85).

CONCLUSION

The TyG index is a promising biomarker for screening and predicting various medical conditions, particularly those related to insulin resistance and metabolic disorders. However, the heterogeneity and methodological quality of the included studies suggest the need for further high-quality research to confirm these findings and refine the clinical utility of the TyG index.

The additive effect of the triglyceride-glucose index and estimated glucose disposal rate on long-term mortality among individuals with and without diabetes: a population-based study

BACKGROUND

The triglyceride-glucose (TyG) index and estimated glucose disposal rate (eGDR), which are calculated using different parameters, are widely used as markers of insulin resistance and are associated with cardiovascular diseases and prognosis. However, whether they have an additive effect on the risk of mortality remains unclear. This study aimed to explore whether the combined assessment of the TyG index and eGDR improved the prediction of long-term mortality in individuals with and without diabetes.

METHODS

In this cross-sectional and cohort study, data were derived from the National Health and Nutrition Examination Survey (NHANES) 2001-2018, and death record information was obtained from the National Death Index. The associations of the TyG index and eGDR with all-cause and cardiovascular mortality were determined by multivariate Cox regression analysis and restricted cubic splines.

RESULTS

Among the 17,787 individuals included in the analysis, there were 1946 (10.9%) all-cause deaths and 649 (3.6%) cardiovascular deaths during a median follow-up of 8.92 years. In individuals with diabetes, the restricted cubic spline curves for the associations of the TyG index and eGDR with mortality followed a J-shape and an L-shape, respectively. The risk of mortality significantly increased after the TyG index was > 9.04 (all-cause mortality) or > 9.30 (cardiovascular mortality), and after eGDR was < 4 mg/kg/min (both all-cause and cardiovascular mortality). In individuals without diabetes, the association between eGDR and mortality followed a negative linear relationship. However, there was no association between the TyG index and mortality. Compared with individuals in the low TyG and high eGDR group, those in the high TyG and low eGDR group (TyG > 9.04 and eGDR < 4) showed the highest risk for all-cause mortality (hazard ratio [HR] = 1.592, 95% confidence interval [CI] 1.284-1.975) and cardiovascular mortality (HR = 1.683, 95% CI 1.179-2.400) in the overall population. Similar results were observed in individuals with and without diabetes.

CONCLUSIONS

There was a potential additive effect of the TyG index and eGDR on the risk of long-term mortality in individuals with and without diabetes, which provided additional information for prognostic prediction and contributed to improving risk stratification.

Relationship of the trajectory of the triglyceride-glucose index with heart failure: the Kailuan study

BACKGROUND

A high triglyceride-glucose index (TyG) is associated with a higher risk of incident heart failure. However, the effects of longitudinal patterns of TyG index on the risk of heart failure remain to be characterized. Therefore, in the present study, we aimed to characterize the relationship between the trajectory of TyG index and the risk of heart failure.

METHODS

We performed a prospective study of 56,149 participants in the Kailuan study who attended three consecutive surveys in 2006-2007, 2008-2009, and 2010-2011 and had no history of heart failure or cancer before the third wave survey (2010-2011). The TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2], and we used latent mixture modeling to characterize the trajectory of the TyG index over the period 2006-2010. Additionally, Cox proportional risk models were used to calculate the hazard ratio (HR) and 95% confidence interval (CI) for incident heart failure for the various TyG index trajectory groups.

RESULTS

From 2006 to 2010, four different TyG trajectories were identified: low-stable (n = 13,554; range, 7.98-8.07), moderate low-stable (n = 29,435; range, 8.60-8.65), moderate high-stable (n = 11,262; range, 9.31-9.30), and elevated-stable (n = 1,898; range, 10.04-10.25). A total of 1,312 new heart failure events occurred during a median follow-up period of 10.04 years. After adjustment for potential confounders, the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident heart failure for the elevated-stable, moderate high-stable, and moderate low-stable groups were 1.55 (1.15, 2.08), 1.32 (1.08, 1.60), and 1.17 (0.99, 1.37), respectively, compared to the low-stable group.

CONCLUSIONS

Higher TyG index trajectories were associated with a higher risk of heart failure. This suggests that monitoring TyG index trajectory may help identify individuals at high risk for heart failure and highlights the importance of early control of blood glucose and lipids for the prevention of heart failure.

Nonlinear association between the triglyceride-glucose index and diabetes mellitus in overweight and obese individuals: a cross-sectional retrospective analysis

BACKGROUND

The triglyceride-glucose (TyG) index is linked to both the development and progression of diabetes, while obesity remains a significant risk factor for this disease. However, the relationship between the TyG index and overweight or obese diabetes remains unclear.

METHODS

This study was a cross-sectional analysis of data from 40,633 participants with body mass index (BMI) ≥ 24 kg/m2 who were screened from January 2018 to December 2023 at Henan Provincial People's Hospital. Participants were divided into groups of overweight or obese individuals with diabetes and those without diabetes according to the diabetes diagnostic criteria. The TyG index, the dependent variable, was determined using the equation ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. We explored the association between TyG index and diabetes in overweight or obese individuals through multivariate logistic regression, subgroup analysis, generalized additive models, smoothed curve fitting, and analysis of threshold effects.

RESULTS

Patients who were overweight or obese and had diabetes had higher TyG index levels than those without diabetes. After adjusting for confounders, our findings indicated a significant association between the TyG index and the risk of diabetes in overweight or obese individuals [odds ratio (OR) = 7.38, 95% confidence interval (CI): 6.98-7.81]. There was a J-shaped nonlinear association between TyG index and diabetes. When TyG index was > 4.46, the risk of diabetes increased sharply. Notably, a high baseline TyG index (Q4 group) correlated with a notably greater risk of diabetes than did the Q1 group, with an OR of 22.72 (95% CI: 20.52-25.16). Subgroup analysis revealed that the association between TyG and diabetes was stronger in females than in males (OR = 7.57, 95% CI: 6.76-8.48,), more significant in individuals with a BMI of 24-28 kg/m2 than in those with a BMI ≥ 28 kg/m2 (OR = 8.40, 95% CI: 7.83-9.02), and increased with age (OR = 8.15, 95% CI: 7.25-9.17) (all P for interaction < 0.001).

CONCLUSION

Among overweight or obese individuals, a higher TyG index is associated with an elevated risk of diabetes, especially when TyG is > 4.46. Furthermore, factors such as sex, age, and BMI significantly influence the risk of diabetes in overweight or obese individuals. Specifically, older women with a BMI of 24-28 kg/m2 are at a greater risk of diabetes under similar TyG index conditions.

Association of triglyceride-glucose index with the risk of incident aortic dissection and aneurysm: a large-scale prospective cohort study in UK Biobank

BACKGROUND

Triglyceride-glucose (TyG) index is an emerging surrogate indicator of insulin resistance, which has been demonstrated as a risk factor for various cardiovascular diseases including coronary syndrome, in-stent restenosis, and heart failure. However, association of TyG index with incident aortic dissection (AD) and aortic aneurysm (AA) remains to be investigated.

METHODS

This study included 420,292 participants without baseline AD/AA from the large-scale prospective UK Biobank cohort. The primary outcome was incident AD/AA, comprising AD and AA. Multivariable-adjusted Cox proportional hazards regression models and restricted cubic spline (RCS) analyses were applied to assess the relationship between TyG index and the onset of AD/AA. In addition, the association between TyG index and incident AD/AA was examined within subgroups defined by age, gender, smoking status, drinking status, diabetes, hypertension, and BMI.

RESULTS

Over a median follow-up period of 14.8 (14.1, 15.5) years, 3,481 AD/AA cases occurred. The incidence of AD/AA rose along with elevated TyG index. RCS curves showed a linear trend of TyG index with risk of incident AD/AA. TyG index was positively associated with risk of incident AD/AA after adjusting for age, gender, smoking status, drinking status, BMI, hypertension, LDL-c, and HbA1c, with adjusted HRs of 1.0 (reference), 1.20 (95% CI 1.08-1.35), 1.21 (95% CI 1.08-1.35), and 1.30 (95% CI 1.16-1.45) for TyG index quartiles 2, 3, and 4, respectively. Especially, participants in the highest TyG index quartile had highest risk of developing AA, with an adjusted HR of 1.35 (95% CI 1.20-1.52).

CONCLUSIONS

TyG index is independently associated with a higher risk of incident AD/AA, indicating the importance of using TyG index for risk assessment of AD/AA, especially for AA.

Association of triglyceride-glucose index and delirium in patients with sepsis: a retrospective study

OBJECTIVE

It is well known that glucose and lipid metabolism disorders and insulin resistance are common in sepsis, which affect the occurrence and prognosis of multiple organ dysfunction in septic patients. Previous study reported the predictive value of triglyceride-glucose index (TyG), a clinical indicator for insulin resistance, in postoperative delirium patients. However, it remains unclear whether the TyG index is a novel predictive biomarker for sepsis-associated delirium. The aim of this study is to explore the relationship between TyG index and the risk of delirium in patients with sepsis.

METHODS

Adult septic patients were identified from the MIMIC-IV database and divided into four groups based on the mean value of TyG. The primary outcome was the incidence of delirium. The association between TyG and the risk of developing delirium was evaluated by restricted cubic spline (RCS), multivariate logistic regression and subgroup analysis. Propensity Score Matching (PSM) method was used to balance the baseline data.

RESULTS

A total of 3,331 septic patients were included in the analysis, and further divided into four groups: Q1 (TyG ≤ 8.67), Q2 (8.67 < TyG ≤ 9.08), Q3 (9.08 < TyG ≤ 9.61), and Q4 (TyG > 9.61). The RCS curves demonstrated a non-linear positive relationship between TyG index and the risk of developing delirium, and an optimal cut-of value 9.09 was recommended. After balancing the baseline information by PSM, patients in the TyG > 9.09 group had a significant higher incidence of delirium compared with those in the TyG ≤ 9.09 group. In logistic regression analysis, TyG > 9.09 was significantly associated with lower risk of developing delirium in both original cohort (OR 1.54-1.78, all P < 0.001) and the PSM cohort (OR 1.41-1.48, all P < 0.001). No association was found between the TyG index and mortality (all P > 0.05). In subgroup analysis, our findings were consistent (all OR > 1 in all subgroups).

CONCLUSION

Our study demonstrated an independent association between TyG index and increased risk of delirium in septic patients, indicating that TyG index can serve as a biomarker for delirium in sepsis.

Value of the triglyceride-glucose index and related parameters in heart failure patients

The triglyceride-glucose (TyG) index, proven to be a crucial insulin resistance biomarker (better than the Homeostasis Model Assessment for Insulin Resistance), is simple and non-invasive. Recently, indisputable evidence has shown that the TyG index is strongly associated with cardiovascular disease [CVD, including atherosclerosis, heart failure (HF), and hypertension] prognosis and mortality. Nevertheless, the value of the TyG index in HF patients treated with sodium-glucose cotransporter 2 inhibitors (SGLT2is) has not been systematically evaluated. Therefore, in this review, we summarized the value of the TyG index and its related parameters as markers of CVD, especially HF. Furthermore, we addressed the use of SGLT2is and GLP-1 receptor antagonists in HF patients. Finally, we summarized the mechanism of the "obesity paradox."

Association of triglyceride glucose-related parameters with all-cause mortality and cardiovascular disease in NAFLD patients: NHANES 1999-2018

BACKGROUND

The relationship between the triglyceride-glucose (TyG) index and its derived index, the triglyceride glucose-waist height ratio (TyG-WHtR), with mortality and cardiovascular diseases (CVDs) in patients with non-alcoholic fatty liver disease (NAFLD) remains unclear.

METHODS

This study enrolled 6627 adults aged 18 and above diagnosed NAFLD from the National Health and Nutrition Examination Survey (NHANES, 1999-2018). Binary weighted logistic regression analyses, cox proportional hazards model and restricted cubic spline (RCS) were used to analyze the relationship between TyG and TyG-WHtR with all-cause mortality, CVD mortality and CVDs. Mediation analysis explored the mediating role of glycohemoglobin, insulin and hypertension in the above relationships. Meanwhile, the incremental predictive value of the TyG index and TyG-WHtR was further assessed.

RESULTS

Except for no significant association between the TyG index and both all-cause mortality and chronic heart failure (CHF), both TyG and TyG-WHtR exhibited significant positive correlations or trends of positive correlation with all-cause mortality, CVD mortality, total-CVD, CHF, coronary heart disease (CHD) and angina pectoris. For all-cause mortality, CVD mortality and CHF, TyG-WHtR was a better predictor than TyG (TyG-WHtR: HR 1.31, 95%CI 1.03-1.66; HR 2.22, 95%CI 1.42-3.47; OR 3.99, 95%CI 1.79-8.93). In contrast, TyG index demonstrated a stronger association with total-CVD, CHD and angina pectoris (TyG index: OR 2.00, 95%CI 1.26-3.18; OR 1.85, 95%CI 1.19-2.91; OR 2.93, 95%CI 1.23-7.00). RCS analysis showed that after adjusting for covariates, most of the aforementioned relationships were linear(P overall < 0.0001, P-nonlinear > 0.05), while the associations of the TyG index and TyG-WHtR with all-cause mortality and CHF were non-linear(P overall < 0.0001, P nonlinear < 0.05). The addition of the TyG index and TyG-WHtR to the basic model for outcomes improved the C-statistics, net reclassification improvement value, and integrated discrimination improvement value.

CONCLUSIONS

The predictive value of TyG or TyG-WHtR for all-cause mortality and cardiovascular risk in NAFLD patients was significant. The TyG index and TyG-WHtR might be valid predictors of cardiovascular outcomes of patients with NAFLD.

U shape association between triglyceride glucose index and congestive heart failure in patients with diabetes and prediabetes

BACKGROUND

While previous population studies have shown that higher triglyceride-glucose (TyG) index values are associated with an increased risk of congestive heart failure (CHF), the relationship between TyG and CHF in patients with abnormal glucose metabolism remains understudied. This study aimed to evaluate the association between TyG and CHF in individuals with diabetes and prediabetes.

METHODS

The study population was derived from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2018. The exposure variable, TyG, was calculated based on triglyceride and fasting blood glucose levels, while the outcome of interest was CHF. A multivariate logistic regression analysis was employed to assess the association between TyG and CHF.

RESULTS

A total of 13,644 patients with diabetes and prediabetes were included in this study. The results from the fitting curve analysis demonstrated a non-linear U-shaped correlation between TyG and CHF. Additionally, linear logistic regression analysis showed that each additional unit of TyG was associated with a non-significant odds ratio (OR) of 1.03 (95%CI: 0.88-1.22, P = 0.697) for the prevalence of CHF. A two-piecewise logistic regression model was used to calculate the threshold effect of the TyG. The log likelihood ratio test (p < 0.05) indicated that the two-piecewise logistic regression model was superior to the single-line logistic regression model. The TyG tangent point was observed at 8.60, and on the left side of this point, there existed a negative correlation between TyG and CHF (OR: 0.54, 95%CI: 0.36-0.81). Conversely, on the right side of the inflection point, a significant 28% increase in the prevalence of CHF was observed per unit increment in TyG (OR: 1.28, 95%CI: 1.04-1.56).

CONCLUSIONS

The findings from this study suggest a U-shaped correlation between TyG and CHF, indicating that both elevated and reduced levels of TyG are associated with an increased prevalence of CHF.

Association of cardiometabolic and triglyceride-glucose index with left ventricular diastolic function in asymptomatic individuals

BACKGROUND AND AIMS

Obesity and insulin resistance are associated with left ventricular diastolic dysfunction (LVDD) and increased risk of heart failure. Cardiometabolic index (CMI) and triglyceride glucose (TyG) are new indexes to assess visceral obesity and insulin resistance, respectively. The study aimed to investigate the clinical usefulness of these indexes for identifying LVDD individuals.

METHODS AND RESULTS

Overall, 1898 asymptomatic individuals were included in this cross-sectional study. Participants underwent anthropometrics, serum biochemical evaluation, and echocardiography. Multiple linear regression analysis revealed that both indexes were independent determinants of diastolic parameters among females; while for males, CMI and TyG were not associated with A velocity. In the multivariate logistic analysis, the proportion of LVDD in the third and fourth quartiles of CMI remained significantly greater than that in the lowest quartile in females (Q3 vs. Q1: odds ratio (OR) = 2.032, 95% confidence interval (CI): 1.181-3.496; Q4 vs. Q1: OR = 2.393, 95% CI: 1.347-4.249); while in males, the incidence of LVDD was significantly greater only in the fourth quartile. For TyG, the presence of LVDD in the fourth quartile was significantly greater in both genders. The discriminant values between the CMI (AUC: 0.704, 95% CI: 0.668-0.739) and TyG (AUC: 0.717, 95% CI: 0.682-0.752) were similar in females. Both indexes performed better in females than in males to identify LVDD.

CONCLUSION

The CMI and TyG might both serve as effective tools to identify LVDD in routine health check-ups in primary care, mainly in females. With simpler parameters, the CMI could be utilized in medically resource-limited areas.

Comparative study on the predictive value of TG/HDL-C, TyG and TyG-BMI indices for 5-year mortality in critically ill patients with chronic heart failure: a retrospective study

BACKGROUND

The triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), and triglyceride-density lipoprotein cholesterol ratio (TG/HDL-C) are substitute indicators for insulin resistance (IR). This study aimed to compare the predictive value of these indicators for 5-year mortality in critically ill patients with chronic heart failure (CHF).

METHODS

Critically ill patients with CHF were identified from the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC) III and IV databases. The primary outcome was 5-year mortality. The relationship between the three indices and mortality risk was determined using multivariate Cox proportional hazards models, Kaplan-Meier (K‒M) analysis and restricted cubic splines analysis. A receiver operating characteristic (ROC) curve was generated to compare the ability of the three indices to predict mortality. Finally, whether the IR indices would further increase the predictive ability of the basic model including baseline variables with a significance level between survivors and non-survivors was evaluated by ROC curve.

RESULTS

Altogether, 1329 patients with CHF were identified from the databases. Cox proportional hazards models indicated that the TyG index was independently associated with an elevated risk of 5-year mortality (hazard ratio [HR], 1.56; 95% confidence interval [CI] 1.29-1.9), while the TyG-BMI index and TG/HDL-C level were significantly associated with 5-year mortality, with an HR (95% CI) of 1.002 (1.000-1.003) and 1.01 (1.00-1.03), respectively. The K-M analysis revealed that the cumulative incidence of all-cause 5-year death increased with increasing quartiles of the TyG index, TyG-BMI index, or TG/HDL-C ratio. According to the ROC curve, the TyG index outperformed the TyG-BMI and TG/HDL-C ratio at predicting all-cause 5-year mortality (0.608 [0.571-0.645] vs. 0.558 [0.522-0.594] vs. 0.561 [0.524-0.598]). The effect of the TyG index on all-cause mortality was consistent across subgroups, with no significant interaction with randomized factors. Furthermore, adding the TyG index to the basic model for 5-year mortality improved its predictive ability (area under the curve, 0.762 for the basic model vs. 0.769 for the basic model + TyG index); however, the difference was not statistically significant.

CONCLUSION

As continuous variables, all three indices were significantly associated with 5-year mortality risk in critically ill patients with CHF. Although these IR indices did not improve the predictive power of the basic model in patients with CHF, the TyG index appears to be the most promising index (vs. TyG-BMI and TG/HDL-C ratio) for prevention and risk stratification in critically ill patients with CHF.

Association between triglyceride glucose-body mass index and all-cause mortality in critically ill patients with acute myocardial infarction: retrospective analysis of the MIMIC-IV database

Background

Insulin resistance (IR) is closely related to the development of cardiovascular diseases. Triglyceride-glucose-body mass index (TyG-BMI) has been proven to be a reliable surrogate of IR, but the relationship between TyG-BMI and acute myocardial infarction (AMI) is unknown. The present study aims to determine the effects of TyG-BMI on the clinical prognosis of critically ill patients with AMI.

Methods

The data of AMI patients were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. All patients were divided into four groups according to the TyG-BMI quartile. Outcomes were defined as 30-, 90-, 180-, and 365-day all-cause mortality. Kaplan-Meier (K-M) curve was used to compare survival rate between groups. Meanwhile, Cox regression analysis and restricted cubic splines (RCS) were used to explore the relationship between TyG-BMI index and outcome events.

Results

A total of 1,188 critically ill patients with AMI were included in this study. They were divided into four groups according to TyG-BMI quartiles, there were significant differences in 90-, 180-, and 365-day all-cause mortality while there was no difference in 30-day all-cause mortality. Interestingly, with the increase of TyG-BMI, the 90-, 180-, and 365-day survival rate increased first and then gradually decreased, but the survival rate after decreasing was still higher than that in the group with the lowest TyG-BMI. U-shaped relationships between TyG-BMI index and 90-, 180-, and 365-day all-cause mortality were identified using RCS curve and the inflection point was 311.1, 316.5, and 320.1, respectively, whereas the TyG-BMI index was not non-linearly associated with 30-day all-cause mortality. The results of Cox proportional hazard regression analysis are consistent with those of RCS analysis.

Conclusion

U-shaped relationships are existed between the TyG-BMI index and 90-, 180-, and 365-day all-cause mortality in critically ill patients with AMI, but not 30-day all-cause mortality. The TyG-BMI index can be used as an effective index for early prevention of critically ill patients with AMI.

Triglyceride-glucose index's link to cardiovascular outcomes post-percutaneous coronary intervention in China: a meta-analysis

Percutaneous coronary intervention (PCI) addresses myocardial ischaemia, but a significant subset of patients encounter major adverse cardiovascular events (MACE) post-treatment. This meta-analysis investigated the relationship between the post-PCI triglyceride-glucose (TyG) index and MACE. Comprehensive searches of the Embase, PubMed, Cochrane Library, and Web of Science databases were conducted up to 3 March 2023, using relevant keywords. The effect size was determined based on I2 statistic using random-effects models. Cluster-robust standard errors crafted the dose-response curve, and the GRADE Evaluation Scale was employed to rate the quality of evidence. The group with the highest TyG index had significantly higher post-PCI MACE rates than the lowest index group, with hazard ratios (HRs) of 2.04 (95% CI 1.65-2.52; I2 = 77%). Each unit increase in TyG index corresponded to HRs of 1.82 for MACE (95% CI 1.34-2.46; I2 = 92%), 2.57 for non-fatal MI (95% CI 1.49-4.41; I2 = 63%), and 2.06 for revascularization (95% CI 1.23-3.50; I2 = 90%). A linear relationship between TyG index and MACE risk was established (R2 = 0.6114). For all-cause mortality, the HR was 1.93 (95% CI 1.35-2.75; I2 = 50%), indicating a higher mortality risk with elevated TyG index. The GRADE assessment yielded high certainty for non-fatal MI but low certainty for all-cause mortality, revascularization, and MACE. The TyG index may predict risks of post-PCI MACE, all-cause mortality, non-fatal MI, and revascularization, with varied levels of certainty. A potential linear association between the TyG index and MACE post-PCI was identified. Future research should validate these findings.