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Background: Sepsis is a serious consequence of acute pancreatitis (AP) that requires immediate detection and treatment. Triglyceride-glucose (TyG) index demonstrated predictive ability for a number of diseases. In an effort to enhance clinical care and early warning systems, this study examined the association between the TyG index and sepsis risk with the aim of improving clinical care and early warning systems. Methods: Patients who were first admitted and satisfied the diagnostic criteria for acute pancreatitis (ICD-9: 5770; ICD-10: K85) were chosen from the MIMIC-IV database, excluding those lacking essential demographic or laboratory data. Using the Sepsis-3.0 criteria. Depending on whether they had sepsis or not, patients were divided into sepsis group and non-sepsis group. Utilizing the formula ln[(triglycerides mg/dl) × (glucose mg/dl)/2], the TyG index was calculated. The Boruta algorithm and Xgboost model were used for feature selection in order to pinpoint the important variables affecting results. Logistic regression with univariate and multivariate factors were used to assess the association between the TyG index and the start of sepsis after admission. Results: Twenty-eight thousand AP patients were screened in all, among which 661 patients were ultimately included in the study. Of these, 228 patients (34.5%) developed sepsis. The TyG index was shown to have a significant correlation (OR = 1.891, 95% CI: 1.408–2.555) with sepsis, and an increased risk of sepsis was observed with an increase in the TyG index (all P values for trend < 0.001). Subgroup analysis showed that among patients of various ages, sexes, and with hypertension and diabetes, there was a positive association between the TyG index and the probability of sepsis (all P values for trend < 0.05). The combination of the TyG index with clinical indicators had an area under the curve (AUC) of 0.828 (0.794–0.862), which was significantly greater than that of the TyG index alone (0.657 [0.613–0.701]), with a statistically significant difference (Z= -7.362, P < 0.001). Conclusion: In patients who have AP, the TyG index is substantially linked to a higher risk of sepsis, and when combined with clinical markers, its predictive power for sepsis is enhanced. The findings imply that the TyG index might be a helpful detection for determining which AP patients are at a higher risk of developing sepsis. [ABSTRACT FROM AUTHOR]

The triglyceride-glucose (TyG) index is emerging as a promising marker for insulin resistance and serves as an independent risk predictor for cardiovascular outcomes. The coronary angiography-derived index of microcirculatory resistance (AMR) is computed to evaluate coronary microcirculation. However, the association between the TyG index and the AMR in patients with type 2 diabetes mellitus (T2DM) and ST-segment elevation myocardial infarction (STEMI) remains unclear. We consecutively recruited 168 patients with T2DM and STEMI who underwent primary percutaneous coronary intervention (pPCI) at Taizhou People's Hospital from January 2022 to December 2023. Patients were classified into low AMR group (AMR < 2.5) and high AMR group (AMR ≥ 2.5). The TyG index was calculated using the formula: ln [plasma triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2]. The study enrolled 81 patients in the low AMR group and 87 in the high AMR group, with the TyG index being significantly higher in the high AMR group. Multivariable logistic regression analysis revealed a significant association between the TyG index and high AMR after adjusting for confounding variables (odds ratio: 2.449, 95% confidence interval: 1.421–4.220, and p = 0.001). The area under the curve for the TyG index predicting high AMR was 0.650 (95% confidence interval: 0.57–0.73, p < 0.001), with a cut-off value of 9.57. Our findings indicate that the TyG index is significantly associated with AMR in T2DM patients with STEMI undergoing pPCI, suggesting it may serve as a valuable predictor of high AMR in this population. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular autonomic neuropathy (CAN), characterized by disrupted autonomic regulation of the cardiovascular system, is a frequent complication associated with diabetes. The triglyceride-glucose (TyG) index represents a precise insulin resistance indicator. However, the influence of baseline and prolonged TyG index patterns on CAN risk in type 2 diabetes remains unclear. Methods: Based on the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial, multivariate logistic regression models and restricted cubic splines (RCS) were deployed for elucidating the relation between baseline TyG index and the incidence of CAN. The area under the curve (AUC) of receiver operating characteristic (ROC) curve was used to assess the diagnostic value of the TyG index in predicting the risk of CAN. The relationship between TyG trajectory and the occurrence of CAN in individuals with diabetes was examined using Kaplan-Meier curve and a multivariable Cox proportional hazards regression model. Subgroup analysis was used to assess the robustness of the results. Additionally, we explored the impact of intensive glycemia treatment on the relationship between trajectory of TyG index and CAN risk. Results: In this study, these in the top quartile of the TyG index had a greater likelihood of developing CAN (TyG index Q4 vs. Q1 in Model II, OR = 1.29, 95% CI 1.03–1.62, P = 0.027). RCS indicated a rising trend in the TyG index in relation to the incidence of CAN. The AUC of the TyG index for predicting the occurrence of CAN was 0.636 (95% CI 0.620–0.651; P < 0.001), with the cut-off value of 0.208. During a 7-year follow-up period, three unique TyG trajectories were recognized: class 1 (n = 431, 23.26%), class 2 (n = 798, 27.57%), and class 3 (n = 293, 31.71%). Notable discrepancies in CAN risk across various trajectories were identified in Kaplan-Meier curve (P < 0.001). Cox regression analysis indicated that individuals in class 3 experienced a greater incidence of CAN in comparison to those in class 1 after adjusting for all covariates. Subgroup analysis found no significant effect modification in this relationship. Additionally, in the intensive glycemia group, class 2 had a reduced risk of CAN, while class 3 had an increased risk when compared to standard glycemia group. Conclusion: Increased baseline levels and long-term trajectory of TyG index are associated with an increased incidence of CAN. Intensive glycemic therapy might influence the association between the trajectory of TyG index and the chance of developing CAN. [ABSTRACT FROM AUTHOR]

Background: The triglyceride-glucose (TyG) index is recognized as an alternative measure of insulin resistance (IR) and has been linked to the risks of cardiovascular disease (CVD) and mortality. This study aimed to evaluate whether the association between the TyG index and CVD mortality is influenced by the use of antidiabetic and hypolipidemic agents, given their potential modifying effects on the TyG index. Methods: Participants from the National Health and Nutrition Examination Survey (1999–2018) were included in the study. Mortality outcomes were tracked through linkage with National Death Index records until December 31, 2019. Data on the use of antidiabetic and hypolipidemic medications (including prescribed insulin, diabetic pills, and cholesterol-lowering agents) were self-reported by participants. Results: A total of 5,046 adults (representing 42,753,806 individuals, weighted mean age 61.08 years [SE: 0.24]; 49.35% female) were analyzed. The TyG index was significantly associated with all-cause and CVD mortality, and these associations were modified by the use of antidiabetic and hypolipidemic agents (p < 0.01). Significant interactions were observed between the TyG index and the use of these agents for mortality outcomes after full adjustments (p-value for interaction < 0.05). Exposure-effect analysis revealed a U-shaped relationship between TyG index levels and the risks of all-cause and CVD mortality in participants using these agents, while a linear positive relationship was observed in participants not using these agents. Conclusions: The use of antidiabetic and hypolipidemic agents modify the association between the TyG index and all-cause and CVD mortality. These findings suggest that future studies on the TyG index and its relationship with CVD and mortality should account for the modifying effects of these agents. [ABSTRACT FROM AUTHOR]

Background: Insulin resistance, represented by increased triglyceride-glucose (TyG) index levels, shows interplay with visceral obesity and together promotes cardiovascular diseases and mortality. However, significant controversies exist regarding whether modified TyG indices, such as TyG-BMI, TyG-WC, and TyG-WHtR, outperform the TyG index in predicting cardiovascular outcomes. We aimed to explore whether there was a synergistic effect of a body shape index (ABSI), a better parameter reflecting visceral obesity, and the TyG index on cardiovascular mortality. Methods: We analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2001–2018 of 17,329 individuals. The associations of the TyG index and ABSI with cardiovascular mortality were investigated via Cox regression analysis and restricted cubic splines. Receiver operating characteristic (ROC) curve analysis was performed to compare the predictive value. Mediation analysis was used to explore the potential mediator. Results: A total of 673 (3.9%) cardiovascular deaths occurred during a median follow-up of 8.92 years. Individuals with high TyG and high ABSI (TyG > 9.04 and ABSI > 0.085) were at the highest cardiovascular mortality risk both in individuals with (HR = 1.714, 95% CI 1.123–2.616) and without diabetes (HR = 1.402, 95% CI 1.003–1.960), suggesting a synergistic effect. Next, we multiplied these two indicators and established TyG-ABSI. It showed a J-shaped relationship and a positive linear relationship with cardiovascular mortality in individuals with and without diabetes, respectively. Arterial stiffness, represented by estimated pulse wave velocity, partially mediated the effect of TyG-ABSI on cardiovascular mortality, with a mediation proportion of 42.7%. The predictive value of TyG-ABSI was greater than that of the TyG index, TyG-BMI, TyG-WC, and TyG-WHtR (Harrell's C-index: 0.710 vs 0.623 vs 0.539 vs 0.612 vs 0.622, all p < 0.001). Conclusions: The simultaneous assessment of the TyG index and ABSI revealed a synergistic effect on cardiovascular mortality. We recommended the use of TyG-ABSI instead of the TyG index and other modified TyG indices in cardiovascular risk assessment. [ABSTRACT FROM AUTHOR]

Background: The association between triglyceride-glucose (TyG), triglyceride-glucose related indices and heart disease remains a topic of debate in the current literature. Existing evidence in Chinese people and in diabetes or non-diabetes patients regarding this association is limited, highlighting the need for further investigation. Methods: A cohort study was conducted involving 7945 participants enrolled in the China Health and Retirement Longitudinal Study (CHARLS). The incidence of heart disease was collected by following up 9 years. TyG, TyG with body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) were collected at baseline. Multivariate Cox proportional hazards models, restricted cubic spline (RCS), Kaplan-Meier (KM) curves, subgroup analysis and sensitivity analysis were used to analyze the associations between TyG, TyG related indices and the risk of heart disease in national participants and in type 2 diabetes (T2D) or non-T2D patients respectively. Results: During a 9-year follow-up, 1477 participants (18.6%) developed heart disease. Our analysis found a significant positive association between TyG-BMI, TyG-WC, and TyG-WHtR with heart disease risk in all participants. The adjusted hazard ratios (HR) for the highest quartile compared to the lowest were: TyG-BMI 1.73 (95% CI: 1.47–2.03), TyG-WC 1.46 (95% CI: 1.24–1.71), and TyG-WHtR 1.31 (95% CI: 1.11–1.54). However, TyG alone was not significantly associated with heart disease in all participants. In non-diabetic patients, the associations were consistent: TyG-BMI 1.75 (95% CI: 1.47–2.08), TyG-WC 1.47 (95% CI: 1.24–1.75), and TyG-WHtR 1.34 (95% CI: 1.13–1.60). However, in diabetes patients, no significant associations were found between TyG, TyG-WC, TyG-WHtR and heart disease risk except for the highest quartile of TyG-BMI (HR: 1.86, 95% CI: 1.02–3.40). Conclusions: In the national population study, higher TyG-BMI, TyG-WC, and TyG-WHtR indices were significantly associated with an increased risk of heart disease, with TyG-BMI and TyG-WC showing stronger correlations. While this association was evident in non-T2D patients, only TyG-BMI was associated with heart disease incidence in T2D patients, underscoring the necessity for further investigation. [ABSTRACT FROM AUTHOR]

Purpose: To identify the relationship of triglyceride-glucose (TyG) index with clinical outcomes in chronic kidney disease (CKD) patients based on current available evidence. Methods: PubMed, EMBASE, Web of Science and CNKI databases were searched up to August 31, 2024. Primary outcome was the all-cause mortality. Secondary outcomes included the coronary artery disease (CAD) mortality, CKD progression, risk of severe coronary artery stenosis (SCAS), major adverse cardiovascular event (MACE), coronary artery calcification (CAC) progression, end-stage renal disease (ESRD), and nonalcoholic fatty liver disease (NAFLD). The hazard ratio (HR) and odds ratio (OR) with 95% confidence interval (CI) were combined to assess the predictive role of TyG index for above clinical outcomes among CKD patients. All statistical analysis was performed by STATA 15.0 version. Results: Twelve studies with 26,530 cases were included. Pooled results indicated that elevated TyG index was significantly related to increased risk for all-cause mortality (HR = 1.22, 95% CI: 1.13–1.31, P<0.001). Besides, high TyG index was also associated with the CAD mortality (HR = 1.19, 95% CI: 1.04–1.36, P = 0.011), occurrence of CKD progression (HR = 1.52, 95% CI: 1.36–1.70, P<0.001), SCAS (OR = 1.79, 95% CI: 1.13–2.83, P = 0.013), MACE (OR = 1.68, 95% CI: 1.11–2.54, P = 0.014), CAC progression (OR = 1.55, 95% CI: 1.06–1.76, P = 0.02), CAD (OR = 2.865, 95% CI: 1.681–4.885, P<0.001), ESRD (OR = 1.49, 95% CI: 1.12–1.99, P = 0.006) and NAFLD (OR = 4.903, 95% CI: 3.046–7.893, P<0.001). Conclusion: High TyG index predicts poor clinical outcomes and might serve as a novel prognostic indicator among CKD patients. However, more studies are still needed to verify above findings. [ABSTRACT FROM AUTHOR]

Background: The triglyceride–glucose (TyG) index is increasingly recognized for its ability to predict cardiovascular and metabolic risks. This study investigated the correlation between the TyG index and the risk of acute kidney injury(AKI) in critical ill patients with acute pancreatitis(AP). Methods: The Medical Information Mart for Intensive Care IV database was retrospectively searched to identify AP patients hospitalized in the intensive care unit. The primary outcome measure was the incidence of AKI. The secondary endpoint was in-hospital mortality and the rate of renal replacement therapy(RRT) use. Cox regression analysis and restricted cubic spline were used to analyze TyG index association with AKI risk. Kaplan–Meier survival analysis was performed to assess the incidence of endpoints in the different groups. Results: A total of 848 patients were enrolled. The incidence of AKI was 61.56%.The in-hospital mortality was 11.69%. Kaplan–Meier analysis showed that the TyG index ≥ 8.78 group has a high incidence of AKI and high risk of requiring RRT (P < 0.001). Multivariable Cox regression analysis showed whether TyG index was a continuous variable (HR, 1.65 [95% CI 1.10–2.48], P = 0.015) or a categorical variable (HR, 1.72 [95% CI 1.09–2.79], P = 0.028), and the TyG index was independently associated with the risk of AKI in AP patients. The restricted cubic splines model illustrated the linear relationship between higher TyG index and increased risk of AKI in this specific patient population. Conclusions: High TyG index is an independent risk factor for AKI in critical ill patients with AP. Assessing the TyG index may be beneficial for early stratification and interventions to improve prognosis. [ABSTRACT FROM AUTHOR]

Background: The triglyceride-glucose (TyG) index has been validated as a novel biomarker for cardiovascular disease (CVD) risk. However, the prospective relationship between baseline and long-term trajectories of the TyG index and CVD risk in people living with HIV (PLWH) remains unexplored. Methods: This cohort study included 16,122 treatment-naive PLWH who initiated antiretroviral therapy (ART) at the Third People's Hospital of Shenzhen from 2005 to 2022. The TyG index was calculated as Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. Group-based trajectory modeling was used to identify distinct TyG index trajectories over the follow-up period. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using multivariate Cox proportional hazards models to assess the association between TyG index trajectories and CVD risk. Nonlinear relationships were investigated using a restricted cubic spline plot. Results: During a median follow-up of 70 months, 214 PLWH developed CVD. Each 1-standard deviation (SD) increase in the baseline TyG index was associated with a 39% higher risk of CVD (HR 1.39, 95% CI 1.22, 1.59) after adjusting for covariates. Participants were categorized into four distinct TyG trajectory groups: low-stable, low-moderate-stable, high-moderate-stable, and high-increasing. After multivariate adjustment, the high-increasing trajectory group had a 2.92-fold (95% CI 1.68, 5.05) increased risk of CVD compared to the low-stable group. The restricted cubic spline plot showed an upward trend between the baseline TyG index and the CVD occurrence (P < 0.001), with the threshold at 8.479 for all HIV patients. Significantly positive correlations between the TyG index and CVD were observed both below the TyG threshold with HR 3.38 (95% CI 1.07, 10.68) and above the threshold with HR 1.43 (95% CI 1.07, 1.92) (both P < 0.05). After stratifying by sex, the spline curves in men were nearly identical to those observed in the overall HIV-infected population. While women also demonstrated a nonlinear association with a similar threshold (8.484), the relationship above the threshold was not statistically significant. Conclusions: Higher baseline TyG index levels and the high-increasing trajectory were significantly associated with increased CVD risk in PLWH. These findings underscore the TyG index as a valuable marker for CVD risk assessment in PLWH, particularly in male populations. Incorporating TyG index monitoring into routine clinical assessments could enhance risk stratification and inform tailored prevention strategies. Further studies are needed to validate these findings in other cohorts and to explore their applicability in women. [ABSTRACT FROM AUTHOR]

Aims: Research on the triglyceride-glucose (TyG) index in patients with stable coronary artery disease (SCAD) remains relatively limited. Therefore, this study aims to investigate the association of the TyG index and its derived indicators, including the baseline TyG index, the baseline triglyceride glucose-body mass index (TyG-BMI), the mean TyG index, and the triglyceride glucose index-standard deviation (TyG-SD), with the prognosis of SCAD patients undergoing percutaneous coronary intervention (PCI). Methods: This retrospective study enrolled 2,306 patients. The Cox proportional hazards model was utilized to evaluate the association between the four TyG indicators and major adverse cardiovascular and cerebrovascular events (MACCE). The predictive ability of the four TyG indicators for MACCE was assessed using the time-dependent receiver operating characteristic (ROC) curve. Kaplan-Meier survival analysis was employed to assess the prognostic differences among groups. Results: After a median follow-up of 26.1 months, a total of 352 patients (15.3%) experienced MACCE. The Cox regression analysis revealed that under a fully adjusted model, when the four TyG indicators were stratified by tertiles, patients in the highest tertile of each TyG indicator had a significantly increased risk of MACCE compared to those in the lowest tertile. Specifically, the hazard ratio for baseline TyG index was 1.653 (95% confidence intervals (CI): 1.234-2.214), for baseline TyG-BMI was 2.467 (95%CI: 1.849-3.293), for mean TyG index was 2.451 (95%CI: 1.794-3.349), and for TyG-SD was 1.896 (95%CI: 1.430-2.513). Time-dependent ROC curve demonstrated that the mean TyG index had the strongest predictive ability for MACCE at each follow-up time point. The Kaplan-Meier analysis results showed that when the four TyG indicators were grouped by tertiles, there were significant differences in the cumulative incidence of MACCE among the three groups for each indicator (P < 0.05). Conclusion: Higher levels of the TyG index and its derived indicators were each independently and positively associated with the risk of MACCE in SCAD patients undergoing PCI. Among these indicators, the mean TyG index demonstrated the greatest predictive value for the risk of MACCE at each follow-up time point. Consequently, tracking the long-term trends of the TyG index may be prioritized in clinical practice. SCAD, stable coronary artery disease; PCI, percutaneous coronary intervention; MACCE, major adverse cardiovascular and cerebrovascular events; TyG, triglyceride-glucose; TyG-BMI, triglyceride glucose-body mass index; TyG-SD, triglyceride glucose index-standard deviation. SCAD, stable coronary artery disease; PCI, percutaneous coronary intervention; MACCE, major adverse cardiovascular and cerebrovascular events; TyG, triglyceride-glucose; TyG-BMI, triglyceride glucose-body mass index; TyG-SD, triglyceride glucose index-standard deviation. [ABSTRACT FROM AUTHOR]

Background: Currently, the clinical evidence regarding the prognostic significance of the TyG index in acute myocardial infarction (AMI) patients remains unclear. Our research analyzed the correlation between the TyG index and the risk of mortality in patients with AMI, in order to evaluate the influence of the TyG index on the prognosis of this population. Methods: 1205 ICU patients with AMI were analyzed in this retrospective cohort analysis, and the necessary data were obtained from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The study conducted Kaplan-Meier analysis to compare all-cause mortality rates across four groups of patients. The study included logistic regression and Cox regression analysis to examine the correlation among the TyG index and the risk of in-hospital, 28-day, and 90-day mortality. Results: In our study, 176 (14.61%) patients experienced in-hospital deaths, 198 (16.43%) patients died within 28 days of follow-up, and 189 (23.98%) patients died within 90 days of follow-up. Logistic regression and Cox proportional hazard analyses revealed that the TyG index was an independent predictor of in-hospital, 28-day, and 90-day mortality (OR: 1.406, 95% CI 1.141-1.731, p = 0.001; HR: 1.364, 95% CI 1.118-1.665, p = 0.002; HR: 1.221, 95% CI 1.024-1.445, p = 0.026, respectively). The restricted cubic spline regression model showed that the risk of in-hospital, 28-day, and 90-day mortality increased linearly with increasing TyG index. Conclusions: The TyG index was significantly associated with an increased risk of mortality in AMI patients. Our findings suggested that the TyG index may be instrumental in identifying patients at high risk for adverse outcomes following AMI. [ABSTRACT FROM AUTHOR]

Objective: This retrospective study aims to assess the association of the triglyceride–glucose index (TyG index) with postmenopausal osteoporosis and investigate longitudinal changes in TyG index levels in relation to osteoporosis risk. Methods: Out of 704 women, after excluding those with osteopenia, a total of 517 patients who met the inclusion criteria were included. Participants were categorized based on T-scores derived from lumbar spine dual-energy X-ray absorptiometry scans. Demographic data, biochemical parameters and TyG index levels were analyzed. Logistic regression, correlation analysis and receiver operating characteristic (ROC) curve analysis were employed for statistical evaluation. Results: The osteoporosis group (n = 254) exhibited significantly higher TyG index and triglyceride levels compared to controls (n = 263). Longitudinal analysis revealed significant increases in TyG index levels among women developing osteoporosis over time. ROC analysis demonstrated the TyG index's accuracy for osteoporosis (first TyG area under the curve [AUC]: 0.767, second TyG AUC: 0.818, p < 0.001). Regression analyses identified the TyG index as a significant factor associated with osteoporosis (odds ratio: 39.468, 95% confidence interval: 12.884–120.903, p < 0.001). Conclusions: The TyG index emerges as a valuable indicator for postmenopausal osteoporosis. These results emphasize the need for integrating metabolic health indicators into osteoporosis management strategies, warranting further research into targeted interventions. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to investigate the relationship between the triglyceride–glucose (TyG) index, its combination with the body roundness index (BRI), and chronic kidney disease (CKD) in patients with type 2 diabetes mellitus (T2DM) based on a cross-sectional analysis conducted in Eastern China. Methods: The research originates from a cross-sectional study performed in Zhejiang Province, Eastern China, between March and November 2018. The TyG-BRI index was calculated based on triglyceride, fasting blood glucose, and the BRI. The correlation between the TyG-BRI index and the risk of CKD was assessed using a restricted cubic spline model. A multivariate logistic regression model was used to investigate the association between the TyG-BRI index and the risk of CKD. Receiver operating characteristic (ROC) analyses was used to evaluate the optimal cut-off and value of the TyG-BRI index for predicting CKD. Results: A total of 1756 T2DM participants were enrolled in this study. The TyG-BRI index was significantly higher in participants with CKD than in those without CKD. In the fully adjusted model, the odds ratios for CKD in the second, third, and fourth TyG-BRI quartiles were 0.93 (95% CI: 0.65–1.33), 1.33 (95% CI: 0.94–1.88), and 1.57 (95% CI: 1.10–2.25), respectively, compared to the first quartile. RCS analysis confirmed a linear dose–response relationship between the TyG-BRI index and CKD risk (all p for nonlinearity > 0.05). ROC curve analysis revealed that the TyG-BRI index had moderate predictive value for CKD, with an area under the curve of 0.626 (95% CI: 0.597–0.656, p < 0.001). The optimal cut-off value for the TyG-BRI index was 42.46, with a sensitivity of 68.2% and specificity of 52.2%. Conclusions: The TyG-BRI index was positively associated with the risk of CKD in a T2DM population, demonstrating a dose–response relationship and moderate predictive value. It may serve as a valuable tool for identifying high-risk individuals and informing targeted interventions to prevent or delay CKD progression in this population. [ABSTRACT FROM AUTHOR]

Background: Type 2 diabetes mellitus (T2DM) is a primary contributor to coronary artery disease (CAD). Insulin resistance (IR) is a hallmark of T2DM and a significant risk factor for the progression of CAD. The triglyceride-glucose (TyG) index is a new alternative indicator to identify IR. We aimed to explore the association between the TyG index and severity of CAD in patients with T2DM. Methods: 280 inpatients with T2DM were enrolled from November 2019 to November 2022, classified into the CAD group (n = 175) and non-CAD group (n = 105). The TyG index and SYNTAX score were calculated. According to SYNTAX score, patients were further classified into the mid-CAD group (n = 97) and moderate to severe CAD group (n = 78). Results: A significant positive correlation between the TyG index and SYNTAX score was found in the CAD group (r = 0.70, p < 0.01). The TyG index predicted the presence of moderate to severe CAD significantly, and the area under the ROC curve was 0.79 (95% CI: 0.71-0.85, p < 0.01). The higher LDL-C and TyG index, the higher risk of developing moderate to severe CAD (OR = 4.40, 95% CI 1.28 − 15.16, p = 0.02; OR = 9.00, 95% CI 3.69 − 21.96, p < 0.01). Conclusions: There was a significantly positive correlation between the TyG index and SYNTAX score in T2DM patients who developed CAD; the TyG index could predict a mid/high SYNTAX score (≥ 23) and increase the risk of moderate to severe CAD. [ABSTRACT FROM AUTHOR]

Purpose Recently, a novel index [the triglyceride-glucose (TyG) index]) was considered a surrogate marker of insulin resistance (IR); in addition, it was estimated to be a better expression of IR than widely used tools. Few and heterogeneous data are available on the relationship between this index and mortality risk in non-Asian populations. Therefore, we estimated the predictive role of baseline TyG on the incidence of all-cause and cardiovascular (CV) mortality in a large sample of the general population. Moreover, in consideration of the well-recognized role of serum uric acid (SUA) on CV risk and the close correlation between SUA and IR, we also evaluated the combined effect of TyG and SUA on mortality risk. Methods The analysis included 16 649 participants from the URRAH cohort. The risk of all-cause and CV mortality was evaluated by the Kaplan–Meier estimator and Cox multivariate analysis. Results During a median follow-up of 144 months, 2569 deaths occurred. We stratified the sample by the optimal cut-off point for all-cause (4.62) and CV mortality (4.53). In the multivariate Cox regression analyses, participants with TyG above cut-off had a significantly higher risk of all-cause and CV mortality than those with TyG below the cut-off. Moreover, the simultaneous presence of high levels of TyG and SUA was associated with a higher mortality risk than none or only 1 of the 2 factors. Conclusion The results of this study indicate that these TyG (a low-cost and simple, noninvasive marker) thresholds are predictive of an increased risk of mortality in a large and homogeneous general population. In addition, these results show a synergic effect of TyG and SUA on the risk of mortality. [ABSTRACT FROM AUTHOR]

Objective: Insulin resistance (IR) is often present in diabetes, which imposes a heavy burden on the prevention and treatment of diabetes. Triglyceride glucose index (TyG) is simple, reliable and reproducible in detecting IR, and has great advantages in predicting the risk of diabetes. The aim of this study was to analyze the potential association between TyG and the risk of diabetes in Chinese middle-aged and older adults using a prospective cohort study design. Methods: This study used longitudinal data from five waves of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, 2018, and 2020, involving 5886 participants. We used Cox proportional risk regression modeling to investigate the association between TyG index and the risk of new-onset diabetes, and decision tree analysis to identify high-risk groups for diabetes. Finally, ROC curves were applied in order to construct a predictive model for diabetes. Results: A total of 1054 (17.9%) participants developed diabetes throughout the 9-year follow-up. Our study utilized a multivariate Cox proportional risk regression model and found a significant correlation between TyG index and diabetes risk. The analysis also revealed a nonlinear relationship between TyG index and diabetes risk.Receiver Operating Characteristic(ROC) curve analysis showed that the Area under the curve(AUC) area of TyG index in predicting the risk of new-onset diabetes was 0.652 (P < 0.05). Conclusions: TyG index can be used as a risk factor for predicting new-onset diabetes in the middle-aged and elderly population in China. In addition, there was a nonlinear relationship between TyG index and diabetes. Improving insulin resistance by regulating glucose and lipid metabolism plays an important role in the primary prevention of diabetes. [ABSTRACT FROM AUTHOR]

Introduction: Previous studies highlighted the association between the triglyceride–glucose (TyG) index and cardiovascular events in patients with diabetes. However, whether diabetes affects TyG-cardiovascular diseases (CVD) is still unclear. This study aimed to evaluate the association between the TyG index and CVD risk, stratified by diabetes status, as well as the potential modifying effect of diabetic status. Methods/design: The PubMed, Cochrane Library, and Embase databases were searched for studies on the associations between the TyG index and cardiovascular events and mortality in patients with and without diabetes from inception to December 2, 2024. The random effects model was employed to pool the effect sizes. Results: A total of 50 cohort studies (7,239,790 participants) were included. The mean age of participants was 31.46 years (diabetes mellitus [DM]: 65.18; non-DM: 31.23), and 40.66% of participants were female (DM: 36.07%; non-DM: 40.70%). The associations between the TyG index and cardiovascular events (HR: 1.72 vs. 1.55, P = 0.55), major adverse cardiovascular and cerebrovascular events (HR: 2.02 vs. 1.91, P = 0.84), stroke (HR: 1.46 vs. 1.39, P = 0.77) and cardiovascular death (HR: 1.85 vs. 1.60, P = 0.56) were similar among DM and non-DM individuals. However, the associations between the TyG index and ischemic heart disease (IHD) (HR: 2.20 vs. 1.57, P = 0.03) as well as all-cause mortality (HR: 1.94 vs. 1.24, P = 0.01) were stronger in DM patients than in non-DM patients. Conclusion: TyG index showed association with cardiovascular events, mortality, and all-cause mortality independent of diabetic status, with low to moderate certainty. The associations for IHD and all-cause death were stronger in diabetic patients than in individuals without diabetes. Future studies should explore the role of diabetes in the TyG index-associated CVD outcomes and mortality. [ABSTRACT FROM AUTHOR]

Background: Triglyceride-glucose (TyG) index was regarded as a cost-efficient and reliable clinical surrogate marker for insulin resistance (IR), which was significantly correlated with cardiovascular disease (CVD). However, the TyG index and incident CVD in non-diabetic hypertension patients remains uncertain. The aim of study was to explore the impact of TyG index level and variability on risk of CVD among non-diabetic hypertension patients. Methods: A total of 9313 hypertensive patients without diabetes aged 30–70 years in Jiangsu Province who participated in the baseline survey from January 2010 to December 2010 and were followed up to May 2020 were included in this study. The TyG index was calculated as ln [fasting triglyceride (TG) (mg/dl) × fasting plasma glucose (FPG) (mg/dl)/2] and variation degree was calculated as the TyG index at first year follow-up (2011) minus that at baseline (2010). Cox proportional analysis regression and restricted cubic spline were used to investigate the association between TyG index level as well as variability and CVD risk. Results: Of 9313 included participants, 5423(58.23%) were female. During a mean follow-up of 8.32 ± 1.43 years, 890(9.56%) CVD events was identified. Cox regression analysis showed that with the highest TyG index in Q4 group at baseline, the incidence of CVD risk increased by 33.6% after adjustment for multiple confounders compared to Q1 group. Compared with TyG index variation degree 0 ~ < 1, the hazard ratios (HR) and 95% confidence interval (CI) respectively in < 0, 1 ~ < 2 and 2 ~ were 0.326(0.276, 0.384), 3.216(2.697,3.835) and 4.225(3.359,5.314). The restricted cubic spline indicated that there was a non-linear dose-response relationship between the change degree of TyG and risk of CVD. Similar results were obtained by subgroup analysis and sensitivity analysis. Conclusion: Elevated TyG index may be used as a surrogate for IR and help optimize risk stratification of CVD as well as prevention and management. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: Insulin resistance (IR) plays a pivotal role in the interplay between metabolic disorders and heart failure with preserved ejection fraction (HFpEF). Various non-insulin-based indices emerge as reliable surrogate markers for assessing IR, including the triglyceride-glucose (TyG) index, the TyG index with body mass index (TyG-BMI), atherogenic index of plasma (AIP), and the metabolic score for insulin resistance (METS-IR). However, the ability of different IR indices to predict outcome in HFpEF patients has not been extensively explored. Methods: Patients having HFpEF were recruited from January 2012 and December 2023. The outcome was defined as major adverse cardiovascular event (MACE), encompassing all-cause mortality and rehospitalization for heart failure. The potential linear relationship was visualized by the restricted cubic spline (RCS) curve. Both univariable and multivariable Cox proportional hazards models were employed to examine the association between the IR indexes and MACE. Furthermore, to assess the incremental prognostic value of the TyG index, we conducted comprehensive analyses using area under the curve (AUC), the continuous net reclassification index (cNRI), and the integrated discrimination index (IDI). Results: A total of 8693 patients met the inclusion criteria and were included in the final analysis. The mean age of the patients was 70.59 ± 10.6 years, with 5045 (58.04%) being male. The Kaplan-Meier survival analysis revealed that higher degree of the four IR indexes was associated with higher risk of MACE (all log-rank P < 0.05). When treated as a continuous variable, the TyG index showed a significant association with MACE (HR 2.1, 95% CI 1.98–2.23, P < 0.001 in model 1; HR 1.81, 95% CI 1.73–1.9, P < 0.001 in model 2; HR 1.68, 95% CI 1.6–1.76, P < 0.001 in model 3). When categorized into quartiles, the highest quartile of the TyG index (Q4) was significantly associated with MACE (HR 2.48, 95% CI 2.24–2.76, P < 0.001 in model 3). Similar significant associations were found between TyG-BMI, AIP, METS-IR, and MACE. The TyG index was found to enhance the risk stratification capability of the MAGGIC score (AUC from 0.601 to 0.666). When compared to other IR indicators, the TyG index exhibited superior discrimination and reclassification abilities in predicting MACE. Additionally, the TyG-BMI index revealed a U-shaped correlation with MACE, indicating that both an elevated and a lower TyG-BMI index were associated with an increased risk. Conclusion: All four IR indices are independently associated with MACE in patients with HFpEF. Notably, these IR indices significantly enhance the predictive accuracy of the MAGGIC score, a widely used risk assessment tool in HFpEF. Among these indices, the TyG index demonstrated the highest discriminatory and reclassification abilities, providing the greatest incremental value in predicting MACE and exhibiting significant superiority compared to the other indices. These findings highlight the importance of assessing IR indices, particularly the TyG index, in the risk assessment and management strategies for HFpEF patients. However, it should be noted that our findings need to be validated in diverse populations to ensure their applicability and generalizability. [ABSTRACT FROM AUTHOR]

Background: Triglyceride-glucose (TyG) index has been found to be associated with female reproductive disorders, but its relationship with the risk of endometriosis is unknown. Therefore, the aim of this study was to investigate this relationship. Methods: We performed a two-sample mendelian randomization(MR) analysis to examine the causal effect of TyG index on endometriosis, and inverse variance weighting(IVW) was the main method of analysis. Then, we selected 1484 participants with endometriosis from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2006. Weighted multivariable-adjusted logistic regression and smoothed curve analysis were used to evaluate the correlation between the TyG index and endometriosis. Results: The results of MR analysis confirmed that higher TyG index was causally associated with the risk of endometriosis (OR=1.27, 95%CI: 1.05-1.54, P=0.01). In the cross-sectional study, subjects in the highest quartile of TyG index had the highest risk of incident endometriosis after adjusting for covariates(OR = 2.41, 95% CI:1.31-4.44, P for trend <0.01). The smoothed curve analysis also revealed a positive linear correlation between TyG index and endometriosis. Conclusion: Our study confirms that a higher TyG index is associated with an increased risk of endometriosis by MR analysis and cross-sectional study. These findings suggested that TyG index could serve as a biomarker in identifying individuals who may be at a higher risk for developing endometriosis. Further research is needed to explore the potential clinical implications of these findings and to elucidate the underlying mechanisms behind this observed relationship. [ABSTRACT FROM AUTHOR]

Objective: The triglyceride glucose (TyG) index is a biomarker of insulin resistance and is associated with an increased risk of cardiovascular events. Contrast-induced nephropathy (CIN) is an important complication that causes poor outcomes in patients undergoing percutaneous coronary intervention (PCI). In this study, we aimed to investigate the relationship between the TyG index and CIN and mortality in patients who underwent PCI due to chronic total coronary occlusion (CTO). Methods: Two hundred eighteen individuals from three separate medical centers who underwent procedural PCI between February 2010 and April 2012 and had a CTO lesion in at least one coronary artery were recruited. According to the TyG index, patients were divided into two groups. Patients with a TyG index ≥ 8.65 were included in Group 1, and patients with a TyG index < 8.65 were included in Group 2. Patients were followed up for 96 months. The main outcome was the development of CIN and mortality. Results: The mean age of the patients (65.8 ± 10.94 vs. 61.68 ± 11.4, P = 0.009), diabetes mellitus (60 [44.8%] vs. 11 [13.1%], P < 0.001), and dyslipidemia rates (52 [38.8%] vs. 21 [25%], P = 0.036) were higher in group 1. In multivariable logistic regression analysis, it was seen that age (OR = 1.04, 95% CI = 1.01–1.08, P = 0.020), chronic kidney disease (OR = 2.34, 95% CI = 1.02–5.33, P = 0.044), peripheral artery disease (OR = 5.66, 95% CI = 1.24–25.91, p = 0.026), LVEF (OR = 0.95, 95% CI = 0.92–0.99, P = 0.005), LDL cholesterol levels (OR = 1.00, 95%CI = 1.00–1.02, P = 0.024) and TyG index (OR = 2.17, 95% CI = 1.21–3.89, P = 0.009) were independent predictors of the development of CIN. Conclusion: Our study demonstrates a correlation between the TyG index and the prevalence of CIN in patients with CTO undergoing PCI. Adding the TyG index to the routine clinical evaluation of patients with CTO undergoing PCI may help protect patients from the development of CIN. [ABSTRACT FROM AUTHOR]

Background: The triglyceride-glucose (TyG) index is now widely recognized as a marker of insulin resistance and has been linked to the development and prognosis of atherosclerotic cardiovascular diseases (ASCVD) in numerous populations, particularly in the Eastern world. Although there are fewer reports from the Western world, and they are sometimes contradictory, the absence of definitive data on the relationship between a raised TyG index and cardiovascular risk suggested the opportunity of testing this biochemical marker against a well-established vascular marker such as the carotid intima media thickness (c-IMT). Methods: Primary prevention patients were selected from a cohort of individuals who underwent c-IMT measurement between 1984 and 2018 at the Dyslipidemia Center at the ASST Grande Ospedale Metropolitano Niguarda in Milan, Italy. The TyG index was calculated as the Ln [fasting TG (mg/dL)×fasting glucose (mg/dL)/2]. Carotid ultrasonography was performed using echographic measurements of the far walls of the left and right common, internal carotids, and bifurcations. Patients were followed for up to 20 years with periodic evaluation of biochemical parameters. ASCVD events were monitored through hospital records, where all patients were regularly examined. Results: The analysis included 3108 individuals with a mean age of 54.9 ± 13.1 years. Participants were generally non-obese, with an average BMI of 24.6 ± 3.5 Kg/m2. Among the women, 83.1% were postmenopausal. The mean TyG index was 8.65 ± 0.59. There was a significant association between the TyG index and all c-IMT measurements. Those in the highest TyG index quartiles had significantly higher IMTmean and IMTmax compared to those in the lower quartiles. These associations were consistent across all vascular sites examined and remained significant after adjusting for all potential confounders. Kaplan-Meier survival analysis revealed an increased incidence of ASCVD events in the two highest TyG index quartiles. Conclusions: TyG index is a sensitive marker of risk in a European population with moderate ASCVD risk, as assessed by c-IMT measurements, in a large cohort of Lipid Clinic patients. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

New-onset atrial fibrillation (NOAF) is associated with increased morbidity and mortality. Despite identifying numerous factors contributing to NOAF, the underlying mechanisms remain uncertain. This study introduces the triglyceride-glucose index (TyG index) as a predictive indicator and establishes a clinical predictive model. We included 551 patients with acute myocardial infarction (AMI) without a history of atrial fibrillation (AF). These patients were divided into two groups based on the occurrence of postoperative NOAF during hospitalization: the NOAF group (n = 94) and the sinus rhythm (SR) group (n = 457). We utilized a regression model to analyze the risk factors of NOAF and to establish a predictive model. The predictive performance, calibration, and clinical effectiveness were evaluated using the receiver operational characteristics (ROC), calibration curve, decision curve analysis, and clinical impact curve. 94 patients developed NOAF during hospitalization. TyG was identified as an independent predictor of NOAF and was significantly higher in the NOAF group. Left atrial (LA) diameter, age, the systemic inflammatory response index (SIRI), and creatinine were also identified as risk factors for NOAF. Combining these with the TyG to build a clinical prediction model resulted in an area under the curve (AUC) of 0.780 (95% CI 0.358–0.888). The ROC, calibration curve, decision curve analysis, and clinical impact curve demonstrated that the performance of the new nomogram was satisfactory. By incorporating the TyG index into the predictive model, NOAF after AMI during hospitalization can be effectively predicted. Early detection of NOAF can significantly improve the prognosis of AMI patients. [ABSTRACT FROM AUTHOR]

Background: Body mass index (BMI) consistently correlates with the triglyceride-glucose (TyG) index, a marker of insulin resistance, which in turn is linked to heightened cardiovascular disease (CVD) risk. Thus, insulin resistance could potentially mediate the association between BMI and CVD risk. However, few studies have explored this mechanism in the general population. Methods: We used data from the China Health and Retirement Longitudinal Study, which is an ongoing prospective cohort study. It initially enrolled 7233 middle-aged and older Chinese adults who were free of heart disease and stroke at baseline. The exposure variable was BMI. Incident CVD, defined as self-reported physician-diagnosed heart disease and stroke combined, served as the main outcome. Results: Of the 7 233 participants (mean [SD] age, 58.93 [9.33] years), 3 415 (47.2%) were men. During the 7 years of follow-up, 1 411 incident CVD cases were identified. Both BMI and TyG index were associated with CVD risk (HR per 1-SD increase: BMI, 1.23; 95% CI, 1.17–1.29; TyG, 1.13; 95% CI, 1.07–1.19). The 4-way decomposition analysis show that, overweight increased CVD risk by 28% (HR [total association], 1.28; 95% CI, 1.14–1.45), with 18.1% (95% CI, 2.2%–34.0%) mediated by TyG index (HR [pure indirect association], 1.05; 95% CI, 1.02–1.09); while obesity increased CVD risk by 91% (HR [total association], 1.91; 95% CI, 1.63–2.23), with 9.5% (95% CI, 2.2%–16.7%) mediated by TyG index (HR [pure indirect association], 1.09; 95% CI, 1.03–1.15). No evidence suggested TyG index modified BMI's association with incident CVD. Conclusions: The study revealed that the TyG index was associated to CVD risk and acted as a small partial mediator in the relationship between BMI and CVD among middle-aged and older Chinese adults. Consequently, solely addressing insulin resistance might not significantly mitigate the impact of body weight on CVD. Thus, exploring alternative pathways and potential mediators of CVD risk becomes imperative. [ABSTRACT FROM AUTHOR]

The triglyceride-glucose (TyG) index has been proposed as an independent predictor of coronary artery disease (CAD). In this retrospective study, we further examine this association and its utility as a predictor for major adverse cardiovascular events (MACE). A total of 870 patients who underwent coronary angiography between May 2008 and June 2009 were included in this retrospective study. The TyG index was calculated using the formula Ln [fasting TG (mg/dL) × FBG (mg/dL)/2]. The association of the TyG index with the presence and severity of CAD, cardiovascular risk factors, and inflammatory markers was evaluated at baseline. In the longitudinal study, the multivariate-adjusted Cox hazard model was used to investigate the associations of the TyG index with the occurrence of MACE during a 5-yr follow-up, which was defined as the endpoint. The TyG index was significantly associated with the presence and severity of CAD. Multiple linear regression analysis showed that a high TyG index, together with inflammatory markers and dyslipidemia, was independently associated with greater stenotic occlusion of coronary arteries (adjusted R2 = 0.031, P < 0.001). Kaplan–Meier survival curve (free of MACE) by tertiles of the TyG index showed a higher incidence of MACE in the upper tertile (log-rank test, P = 0.02). Multivariate Cox analysis demonstrated that the risk of incident MACE during the follow-up was associated with higher levels of the TyG index, even after adjusting for inflammatory parameters and cardiovascular risk factors: hazard ratio = 1.54 (95% confidence interval: 1.18–2.13; P < 0.01). We conclude that an elevated TyG index is independently associated with a higher risk of CAD and a poor prognosis for MACE. NEW & NOTEWORTHY: This retrospective study demonstrates significant associations between the TyG index and the occurrence and severity of CAD, as well as indicates the clinical value of the TyG index as a potential predictor for MACE. [ABSTRACT FROM AUTHOR]

Helicobacter pylori (H. pylori) infection is linked to metabolic syndrome and insulin resistance, with the triglyceride-glucose (TyG) index serving as a reliable marker for the latter. This study investigates the association between the TyG index and H. pylori infection. The study utilized cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2000. Participants underwent serologic testing for H. pylori, and the TyG index was calculated from fasting laboratory measurements. Multivariate logistic regression and restricted cubic spline methods were used to assess the association and explore the dose–response relationship. The analysis included 2984 participants. Elevated TyG index values were associated with an increased likelihood of H. pylori infection. The risk of infection rose with higher TyG index quartiles, with the highest quartile showing the most significant increase (OR = 1.54, 95% CI: 1.15–2.07, P = 0.004). A linear relationship between the TyG index and H. pylori infection was demonstrated. The study findings indicate a significant positive association between the TyG index and H. pylori infection. This association highlights the importance of metabolic health in the context of H. pylori infection and suggests that further research is needed to explore the potential implications for health promotion strategies. [ABSTRACT FROM AUTHOR]

The Triglyceride glucose (TyG) index is a dependable indicator of IR, with numerous studies underscoring its influence on Cardiovascular disease. Nevertheless, the connection between the TyG index and prognosis in AMI patients after PCI is still uncertain. This investigation aims to explore the link in individuals who have received PCI for AMI. Upon admission, data regarding the patients' age, sex, concurrent diseases, TyG index, and laboratory findings were meticulously documented. To discern the link between the TyG index and the 30-day and 12-month ACM, we employed a multivariate Cox proportional hazard regression model and K-M survival curve. The concordance evaluation was also enhanced by subgroup analysis. The investigation encompassed data from 1410 AMI patients who received PCI. The 30-day ACM rate was observed to be 15.1% (214/1410), while the rate at 12 months escalated to 26.0% (368/1410). Upon adjusting for potential confounders, multivariate analysis delineated a dramatic link between high TyG index and heightened mortality risk at both 30 days (HR 1.233, 95% CI 1.086–1.399) and 12 months (HR 1.127, 95% CI 0.963–1.318). According to K-M survival curve, patients presenting with higher TyG indexes demonstrated a noticeably higher probability of ACM within both the 30-day and 12-month. In AMI patients after PCI, the TyG index demonstrates a substantial link with ACM at 30-day and 12-month marks. This finding suggests the effectiveness of the TyG index in detecting AMI patients who are at a higher risk of mortality after undergoing PCI. [ABSTRACT FROM AUTHOR]

Objectives: The triglyceride-glucose (TyG) index is a novel diagnostic marker for various metabolic and cardiovascular diseases. However, little is known about the association of the TyG index with plasma atherogenicity, especially with its latent forms. The aim of this study was to assess the potential of the use of the TyG index as a marker of atherogenic risk. Methods: A total of 202 men with normolipidaemia, aged 20–60 years, were enrolled in this study. Fasting biochemical parameters were measured. The TyG index was calculated as ln[triglyceride(mg/dL)×glucose(mg/dL)]/2. The diagnostic ability of the TyG index for detecting atherogenic risk was tested by receiver operating characteristic (ROC) curve analysis. Results: A substantial portion of normolipidaemic men had deviations from the reference values for the indices calculated using apolipoproteins. Unfavorable values for the apolipoprotein (apo) B/apoA-I ratio, low-density lipoprotein cholesterol/apoB (LDL-C/apoB) ratio, and the atherogenic index (ATH index) were observed in 32.7%, 31.7%, and 14.4% of men, respectively. The results of ROC curve analysis showed that the TyG index had good diagnostic ability for identifying unfavorable apolipoprotein indices in normolipidaemic men. Conclusions: Thus, the TyG index can be a valuable additional marker for assessing latent atherogenic risk; it can provide useful information for the diagnosis and treatment of early atherosclerosis. [ABSTRACT FROM AUTHOR]

Background: Insulin resistance (IR) contributes substantially to the development of cardiovascular disease (CVD) and metabolic disorders, particularly obesity. The homeostatic model assessment of IR is a prevalent IR indicator, but insulin measurement is quite impractical for widely use. Given its convenience and accessibility, the triglyceride−glucose (TyG) index, along with modified indices such as the triglyceride−glucose−waist circumference (TyG−WC) and triglyceride−glucose−waist−height ratio (TyG−WHtR), are gaining recognition as practical tools for assessing IR. This study aimed to investigate the specific correlation between the TyG index and its modified indices with arterial stiffness in an overweight or obese population and to explore novel, self-defined modified TyG indices for identifying individuals at elevated risk for such conditions. Methods: This retrospective study included 1,143 overweight or obese individuals from 2021 to 2023. Medical data, including brachial-ankle pulse wave velocity (baPWV), were collected. Two novel modified TyG indices, TyG-1h and TyG-2h, were defined by substituting the fasting glucose level in the TyG formula with 1-hour and 2-hour post-load plasma glucose levels, respectively. Multivariate logistic regression analyses were conducted to identify parameters that demonstrated a statistically significant correlation with arterial stiffness, defined as a baPWV threshold of ≥ 1400 cm/s. Additionally, restricted cubic spline (RCS) modelling was employed to further explore these relationships in a visually interpretable manner. To evaluate and compare the diagnostic accuracy of the conventional TyG index and its novel modified versions, receiver operating characteristic (ROC) curve analyses were performed. Results: Our findings revealed that individuals with arterial stiffness presented significantly elevated TyG index and all its modified versions (P< 0.05). By utilizing a binary logistic regression model and adjusting for potential confounders, we determined that all TyG-related parameters independently correlated with an increased risk of developing arterial stiffness. Moreover, TyG-WHtR displayed the best correlation (OR 3.071, 95% CI 1.496-6.303) when stratified by quartiles, followed by TyG-1h (OR 2.298, 95% CI 1.248-4.234) and TyG-2h (OR 2.115, 95% CI 1.175-3.807). ROC curves suggested that TyG-1h and TyG-2h demonstrated superior diagnostic performance compared to TyG, with AUCs of 0.685, 0.679 and 0.673, respectively. Conclusions: The modified TyG indices exhibited strong effectiveness in identifying arterial stiffness in Chinese overweight or obese individuals. [ABSTRACT FROM AUTHOR]

This study aims to investigate the relationship between the triglyceride-glucose index (TyG) and all-cause mortality as well as cardiovascular mortality in arthritis patients. Additionally, it seeks to analyze the nonlinear characteristics and threshold effects of TyG index. We included 5,559 adult participants with arthritis from the 1999–2018 National Health and Nutrition Examination Survey (NHANES). The TyG index was calculated using fasting triglycerides and glucose levels. We employed Cox proportional hazards models and restricted cubic spline analyses to examine the relationship between TyG index and all-cause mortality in arthritis patients. Competing risks models were used to analyze the association between TyG index and cardiovascular mortality as well as mortality from other causes. Over a median follow-up period of 7.8 years, 1,388 cases of all-cause mortality were recorded among arthritis patients, including 369 cases of cardiovascular mortality. After adjusting for confounding factors, TyG index was found to be nonlinearly positively associated with all-cause mortality (P = 0.0019), with a significant increase in mortality risk when TyG index ≥ 8.43. Compared to the quartile 2 of TyG index, the highest quartile was associated with a 36% increased risk of all-cause mortality (HR 1.36, 95% CI 1.12–1.65). Additionally, competing risks models indicated that high TyG index levels were significantly associated with increased risks of cardiovascular mortality and mortality from other causes. Subgroup analyses confirmed the robustness of the association between TyG index and cardiovascular mortality in arthritis patients. The TyG index is nonlinearly associated with all-cause mortality and represents a potential prognostic indicator for mortality risk in arthritis patients. [ABSTRACT FROM AUTHOR]

The triglyceride-glucose (TyG) index and the Atherogenic Index of Plasma (AIP) are both predictors of cardiovascular diseases (CVD). However, their combined and individual contributions to CVD risk are not well understood. This study evaluate the joint and individual associations of the TyG index and AIP with CVD events in middle-aged and older Chinese adults. This nationwide, retrospective cohort study utilized data from CHARLS. The diagnosis of CVD in this study was determined based on self-reported information provided by participants regarding their medical history(heart disease and/or stroke). Cross-sectional analyses in 2011 and longitudinal analyses over a 9-year follow-up were conducted to assess these associations. In the cross-sectional analysis, 8,531 participants were included at baseline. The odds ratio (OR) for TyG alone was 1.06 (95% CI 0.96–1.22) for CVD, while the OR for AIP alone was 1.16 (95% CI 1.02–1.33). Combined analysis showed that compared to the low TyG & low AIP group, the OR for the high TyG & high AIP group was 1.23 (95% CI 1.07–1.42) for CVD. In the survival Analysis, the hazard ratio (HR) for TyG alone was 1.19 (95% CI 1.04–1.35) for CVD, while the HR for AIP alone was 1.25 (95% CI 1.09–1.43). Combined analysis showed that compared to the low TyG & low AIP group, the HR for the high TyG & high AIP group was 1.27 (95% CI 1.10–1.43) for CVD. The findings underscore the significant coexposure effects of the TyG index and AIP on CVD, particularly in middle-aged adults. [ABSTRACT FROM AUTHOR]

Background: Postmenopausal women are more susceptible to stress urinary incontinence (SUI), and insulin resistance (IR) is closely related to SUI. The triglyceride-glucose (TyG) index is an efficient metric for assessing IR. Investigating whether TyG index and its correlation indexes were correlated with SUI in postmenopausal women was the aim of this research. Methods: Data from 2,132 postmenopausal women from the National Health and Nutrition Examination Survey (NHANES) were included in the study for analysis. Weighted multiple logistic regression was used to evaluate the correlation between the TyG index and its correlation indexes and SUI. The nonlinear correlation between the TyG correlation indexes and SUI, as well as the diagnostic efficacy for SUI, was investigated using the smooth curve approach and receiver operating characteristics. Through detailed subgroup analysis, the stability and generalization of the results are confirmed. Results: Of the 26.87 million, 13.63 million, or 50.73%, suffered from SUI. The prevalence of SUI was significantly higher in the fourth quartile of TyG-BMI (OR = 1.93, 95% CI 1.13–2.84), TyG-WC (OR = 1.76, 95% CI 1.23–2.51), and TyG-WHtR (OR = 1.81, 95% CI 1.28–2.55) compared to the first quartile. Among the three models, TyG-WHtR always maintained a more significant correlation with SUI (Model 1:OR = 1.30;Model 2:OR = 1.33; Model 3:OR = 1.24). Smooth curve fitting results showed that TyG correlation indexes were not linearly correlated with SUI (P > 0.05). Subgroup analysis further confirmed the reliability and applicability of the results. TyG-BMI had the greatest diagnostic performance for SUI out of the four markers. Conclusions: In comparison to TyG, TyG correlation indexes showed a more significant correlation with SUI among postmenopausal women in US, with TyG-BMI showing the best diagnostic effectiveness. [ABSTRACT FROM AUTHOR]

Background: The Triglyceride-glucose (TyG) index represents a simple, cost-effective, and valid proxy for insulin resistance. This surrogate marker has also been proposed as a predictor of metabolic and cardiovascular disease (CVD). In this descriptive review, we aimed to assess the utility of the TyG index as a predictive biomarker of cardiometabolic diseases. Methods: A search was conducted in PubMed, and Web of Science to identify cross-sectional and more importantly prospective studies examining the use of the TyG index as a predictive biomarker. The following terms were utilized in addition to the TyG index: "insulin resistance", "metabolic syndrome", "diabetes"; "cardiovascular diseases". Results: This descriptive review included thirty prospective studies in addition to cross-sectional studies. Following adjustment for confounding variables, an elevated TyG index was associated with a significantly increased risk for the development of Metabolic Syndrome (MetS), Type 2 Diabetes, hypertension, and CVD. Also in limited studies, the TyG index was associated with endothelial dysfunction, increased oxidative stress and a pro-inflammatory phenotype. Conclusion: Overall, our findings support the use of the TyG index as a valid biomarker to assess the risk of developing MetS, T2DM, as well as atherosclerotic cardiovascular disease. [ABSTRACT FROM AUTHOR]

Background: The incidence and mortality of first-ever strokes have risen sharply, especially in the intensive care unit (ICU). Emerging surrogate for insulin resistance, triglyceride-glucose index (TyG), has been linked to stroke prognosis. We aims to explore the relationships between TyG with ICU all-cause mortality and other prognosis, and to develop machine learning (ML) models in predicting ICU all-cause mortality in the first-ever strokes. Methods: We included first-ever stroke patients from the eICU Collaborative Research Database in 2014–2015 as the primary analysis cohort (then divided into training and internal validation cohorts) and from local hospital's ICUs as the external validation cohort. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to evaluate the association between TyG and ICU/hospital all-cause mortality. Linear regression and correlation analyses were performed to examine the relationships between TyG with length of ICU/hospital stay and Glasgow Coma Score. Results: The primary analysis cohort included 3173 first-ever strokes (median age 68.0 [55.0–68.0] years; 63.0% male), while the external validation cohort included 201 first-ever strokes (median age 71.0 [63.0–77.0] years; 62.3% male). Multivariate Cox proportional hazards models revealed that the high TyG group (TyG ≥ 9.265) was associated with higher ICU (HR 1.92, 95% CI 1.38–2.66) and hospital (HR 1.69, 95% CI 1.32–2.16) all-cause mortality, compared with low TyG group (TyG < 9.265). TyG was also correlated with ICU length of stay (r = 0.077), hospital length of stay (r = 0.042), and Glasgow Coma Score (r = -0.132). TyG and other six features were used to construct ML models. The random forest model performed best in internal validation with AUC (0.900) and G-mean (0.443), and in external validation with AUC (0.776) and G-mean (0.399). Conclusion: TyG (optimal cut-off: 9.265) was identified as an independent risk factor for ICU and hospital all-cause mortality in first-ever strokes. The ML model incorporating TyG demonstrated strong predictive performance. This emphasises the importance of insulin resistance (with TyG as a surrogate measure) in the prognostic assessment and early risk stratification of first-time stroke patients. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: Diabesity, a co-occurrence of diabetes and obesity, is a growing public health concern globally. The triglyceride-glucose (TyG) index, a surrogate marker of insulin resistance, has been associated with various metabolic disorders. This study aimed to investigate the association between TyG index and new-onset diabesity in a national longitudinal study. Methods: We utilized data from the China Health and Retirement Longitudinal Study (CHARLS). Baseline data from the first wave (2011) and follow-up data from the third wave (2015) were analyzed. A Competing risks model based on Fine and Gray's subdistribution hazard approach was employed to examine the association between the TyG index and developing of three mutually exclusive outcomes: remaining free of diabetes and obesity, diabetes alone, and new-onset diabesity (co-occurrence of diabetes and obesity). Results: A total of 6,976 participants were included in the analysis. During a mean follow-up period of 4.0 years, a total of 557 diabetes and 155 diabesity were recorded, respectively. After adjusting for socio-demographic information, lifestyle and comorbidities, compared with participants in the lowest quartile of TyG, the corresponding adjusted subdistribution hazard ratios (HRs) with 95% confidence intervals (95% CIs) for participants in the second, third, and fourth quartiles were 2.112 (95% CI: 1.047–4.259; P-value = 0.037), 2.911 (95% CI: 1.481–5.722, P-value = 0.002), and 4.305 (95% CI: 2.220–8.346, P-value < 0.001). The association between TyG and diabetes alone was equally significant when diabesity treated as the competing risk. Sensitivity analyses proved the robustness of results. Conclusion: This national longitudinal study in China provides evidence that a higher TyG index is associated with an increased risk of developing diabesity. [ABSTRACT FROM AUTHOR]

Purpose: To investigate the role of hematological and atherogenic biomarkers in evaluating systemic inflammation and cardiovascular risk in patients with pseudoexfoliation syndrome. Methods: This retrospective study included 200 patients, 90 with pseudoexfoliation (PEX) syndrome (Group 1) and 110 healthy controls (Group 2). Twelve-hour fasting blood samples were collected to measure complete blood count, neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR), systemic immune-inflammation index (SII) (neutrophil x platelet/lymphocyte), systemic inflammatory response index (SIRI) (neutrophil x monocyte/lymphocyte), pan-immune inflammation value (PIV) (neutrophil x platelet x monocyte/lymphocyte), C-reactive protein (CRP), uric acid, glucose, triglycerides (TG), total cholesterol, HDL, LDL, non-HDL, and triglyceride-glucose (TyG) index (Ln (TG [mg/dL] × glucose [mg/dL]/2)). The groups were compared based on these measurements. Results: The two groups were similar in terms of age and gender (p > 0.05). No statistically significant differences were observed between the groups for PLR, SII, CRP, glucose, total cholesterol, HDL, LDL, and non-HDL (all p > 0.05). However, systemic inflammation markers—NLR, MLR, SIRI, PIV, and uric acid were significantly higher in Group 1 compared to Group 2 (all p < 0.05). Among the atherogenic biomarkers used to assess cardiovascular risk, triglycerides and the TyG index were significantly higher in Group 1 (p < 0.05, p < 0.001). Conclusion: Pseudoexfoliation syndrome is characterized by the accumulation of fibrogranular material primarily on the anterior lens capsule and pupillary border. PEX deposits are not limited to ocular structures but are also found in the heart, liver, and various vascular structures. It has been suggested that PEX is an independent risk factor for cardiovascular diseases and that systemic inflammation plays a role in the disease's pathogenesis. The significant biomarkers identified in this study may provide guidance in monitoring the disease. [ABSTRACT FROM AUTHOR]