Triglyceride Glucose Research Articles

Metabolic score and its components are associated with carotid plaque prevalence in young adults.

No study has comprehensively assessed the relationship of metabolic factors including insulin resistance, hypertension, hyperuricemia, and hypercholesterolemia with the development of carotid plaque. Therefore, we constructed metabolic scores based on the above metabolic factors and examined its association with carotid plaque in young and older Chinese adults. This study included 17,396 participants who underwent carotid ultrasound examinations, including 14,173 young adults (<65 years) and 3,223 older adults (≥65 years). Individual metabolic score was calculated using triglyceride-glucose (TyG) index, mean arterial pressure (MAP), uric acid, and total cholesterol (TC). Logistic regression models were conducted to examine the role of metabolic score and its components in the prevalence of carotid plaque. The nonlinear relationship was examined using restricted cubic spline regression. Meanwhile, subgroup, interaction, and sensitivity analyses were conducted. The multivariate logistic regression analysis showed that TyG (OR: 1.088; 95%CI: 1.046-1.132), MAP (OR: 1.121; 95%CI: 1.077-1.168), TC (OR: 1.137; 95%CI: 1.094-1.182) and metabolic score (OR: 1.064; 95%CI: 1.046-1.082) were associated with carotid plaque prevalence in young adults rather than older adults. The nonlinear association was not observed for metabolic scores and carotid plaque. Subgroup analyses showed significant associations between metabolic scores and carotid plaque prevalence in men, women, normal-weight, and overweight young adults. No interaction of metabolic score with sex and BMI were observed. The results support that control of TyG, MAP, TC, and metabolic scores is a key point in preventing the prevalence of carotid plaque in the young adults.

The association between triglyceride -glucose index and stress urinary incontinence in adult American women: A population-based study.

This investigation seeks to determine the triglyceride glucose (TyG) index's link to stress urinary incontinence (SUI) in American females of adult age. The investigation relied on data acquired via the National Health and Nutrition Examination Survey (NHANES) conducted over the period from 2011 to 2018. The independent relationship between TyG index and SUI was tested using multivariate logistic regression analysis. We applied a smooth curve fitting approach to analyze the interrelation of them. In addition, subgroup analysis was conducted and interaction experiments were conducted. Among 4459 female participants aged 20 and above, TyG index and SUI demonstrated a favorable correlation. Model 3 indicated that with every single-unit rise in the TyG index, the incidence of SUI increases by 18% [1.18 (1.01, 1.38)]. In contrast to individuals in the lowest tertile, subjects within the highest tertile of the TyG index exhibited a 68% increase in SUI incidence [1.68 (95% CI: 1.26, 2.23), 0.0004]. By using smooth curve fitting, a nonlinear positive evidence of an interconnection of the TyG index to SUI was identified. Women exhibiting increased TyG index levels are at a heightened risk of SUI. TyG index displays a stronger correlation than that observed with BMI. According to our findings, the TyG index is viewed as a potential tool for identifying SUI in women, and monitoring the value of TyG index may be helpful for predicting the occurrence of SUI.

Association between sarcopenic obesity and osteoarthritis: The potential mediating role of insulin resistance

BackgroundSarcopenic obesity (SO) and osteoarthritis (OA) are highly prevalent musculoskeletal conditions that significantly impair health-related quality of life. AimThis study investigated the association between SO and OA, and explored the potential mediating role of insulin resistance in this relationship. We utilized data from the National Health and Nutrition Examination Survey (NHANES) 1999–2018. MethodsThis cross-sectional analysis employs NHANES data collected from 1999 to 2018, including participants aged 18 years and older. SO was assessed using dual-energy X-ray absorptiometry (DXA) measurements. Insulin resistance was estimated using the triglyceride-glucose (TyG) index. OA status was based on self-reported physician diagnosis. Statistical analyses included weighted logistic regression, restricted cubic spline (RCS) interaction analysis, mediation analysis using structural equation modeling (SEM), and receiver operating characteristic (ROC) curve analysis. Subgroup analyses were conducted based on age, sex, and diabetes status. ResultsThe sarcopenic obese group demonstrated the highest prevalence of OA (23.4 %), hypertension (47.8 %), and diabetes (12.0 %). Additionally, they exhibited elevated levels of triglycerides, cholesterol, glucose, blood urea nitrogen (BUN), creatinine, and uric acid. Logistic regression revealed significant positive associations between sarcopenic obesity, the TyG index, and OA risk. RCS analysis identified significant non-linear relationships and interactions of the TyG index with age, sex, and diabetes status on OA risk. Mediation analysis indicated that the TyG index mediated approximately 4.9 % of the effect of sarcopenic obesity on OA risk. ROC curve analysis demonstrated moderate diagnostic accuracy for the TyG index (AUC = 0.65), which improved when incorporated into the multivariate model (AUC = 0.78). Subgroup analyses confirmed significant associations between the TyG index and sarcopenic obesity with OA risk across different age, sex, and diabetes status categories. ConclusionOur findings suggest a significant correlation between insulin resistance, as measured by the TyG index, and elevated OA risk in individuals with sarcopenic obesity. Targeting insulin resistance through future research may be a promising avenue to lower OA risk in this population.

Environmental Heavy Metal Exposure and Associated Cardiovascular Diseases in Light of the Triglyceride Glucose Index.

Cardiovascular diseases (CVD), primarily ischemic heart disease and stroke, remain leading global health burdens. Environmental risk factors have a major role in the development of CVD, particularly exposure to heavy metals. The Triglyceride Glucose Index (TyG), a measure of insulin resistance and CVD risk, is the primary focus of this study, which summarizes the most recent findings on the effects of lead (Pb), arsenic (As), and cadmium (Cd) on CVD risk. A higher risk of CVD is correlated with an elevated TyG index, which has been linked to insulin resistance. Exposure to Cd is associated with disturbance of lipid metabolism and oxidative stress, which increases the risk of CVD and TyG. Exposure reduces insulin secretion and signaling, which raises the TyG index and causes dyslipidemia. Pb exposure increases the risk of CVD and TyG index via causing oxidative stress and pancreatic β-cell destruction. These results highlight the need of reducing heavy metal exposure by lifestyle and environmental modifications in order to lower the risk of CVD. To comprehend the mechanisms and create practical management plans for health hazards associated with heavy metals, more study is required.

The associations of triglyceride glucose and its derived indexes with 10-year cardiovascular disease risk in a Chinese community-based population

Abstract Background The triglyceride-glucose (TyG) index has been regarded as a reliable surrogate marker of insulin resistance and an independent predictor of cardiovascular outcomes. However, the associations of the derived TyG indexes with incident CVD risk are controversial, and that the relevant data are sparse for the Chinese population studies. Objectives We aimed to investigate the association of TyG index and its derived indexes with incident CVD risk and to compare their predictive capacity in the Chinese community-based population. Methods We conducted a prospective cohort study on subjects from a Beijing community in China who were free of prevalent stroke or myocardial infarction at baseline. The primary endpoint was a new-onset major adverse cardiovascular event (MACE), defined as a composite of cardiovascular death, first non-fatal stroke, and first non-fatal acute myocardial infarction. Cox proportional-hazards regression analyses and time-dependent receiver operator characteristic curve analyses were performed. Results A total of 8,806 participants were included. The mean age was 56.51 ± 8.93 years, and 5,679 (64.5%) were female. The median value of TyG index, TyG-BMI, TyG-WC, and TyG-WHtR were 8.71 (8.34-9.12), 226.37 (201.02-252.87), 720.80 (653.52-791.03), and 4.47 (4.07-4.90), respectively. During a mean 9.7-year follow-up, a total of 877 (10%) cases of MACE were recorded. The Kaplan–Meier curves showed significant differences in cumulative hazards of new-onset MACE among tertiles of abovementioned indexes (Log rank P &amp;lt; 0.0001) (Figure 1). Multivariable Cox regression analyses revealed that TyG index, TyG-BMI, TyG-WC, and TyG-WHtR were positively associated with the hazards of MACE. Compared with tertile 1, the multivariable adjusted HRs (95% CIs) of incident CVD for tertile 3 were 1.26 (1.01-1.56), 1.57 (1.15-2.14), 1.54 (1.19-2.00), and 1.81 (1.40-2.33) for TyG, TyG-BMI, TyG-WC, and TyG-WHtR, respectively (Figure 2). There are no significant differences in the Harrell's C indexes among the various indexes compared to the TyG index (TyG index: 0.758 [0.743-0.774], TyG-BMI: 0.758 [0.743-0.773], TyG-WC: 0.758 [0.743-0.774], and TyG-WHtR: 0.760 [0.745-0.775]). Conclusions Higher TyG and its derived indexes are significantly associated with an increased risk of 10-year MACE. Our results suggest that TyG and its derived indexes may serve as a useful marker for stratifying CVD risk in the general population.

Associations of the TyG index with albuminuria and chronic kidney disease in patients with type 2 diabetes.

Diabetes-related kidney disease reduces patients' quality of life, increases the risk of death, and is associated with insulin resistance (IR). The triglyceride-glucose (TyG) index is a simple and inexpensive alternative to IR measurement. Furthermore, the relationship between albuminuria and chronic kidney disease (CKD) in type 2 diabetes mellitus (T2DM) remains unclear. Therefore, we aimed to investigate the association of TyG index with albuminuria and CKD in patients with T2DM. Data from 01/2013-12/2017 period were obtained from the Population Health Data Archive's Diabetes Complications Data Set. A total of 1048 patients with T2DM were included in this study. CKD is defined as an estimated glomerular filtration rate < 60 ml/min-1.1.73 m-2 or a urinary albumin-to-creatinine ratio (UACR) ≥ 30 mg/g. Albuminuria is defined as a UACR ≥ 30 mg/g. The TyG index is calculated by measuring the triglyceride and fasting blood glucose levels. Logistic regression models were used to analyze the association between albuminuria, CKD with T2DM and TyG index. We identified 1048 subjects, 63.03% of whom were men. The mean age was 46.21 years, and the mean body mass index was 26.742 kg/m2. CKD and albuminuria detection rates showed an increasing trend in the different TyG subgroups. (p = 0.008, p = 0.006). Using the Q1 group as a baseline, the risk of albuminuria and CKD was significantly greater in the group Q3 (OR = 1.514, 95% CI 1.121-2.047 P = 0.05), and the same result was obtained after adjusting for covariates (OR = 2.241, 95% CI 1.245-4.034, P = 0.007). Subgroup analyses revealed a significant increase in the incidence of albuminuria and CKD in the group Q3 compared to that in the Q1 group. The TyG index is positively associated with albuminuria and CKD in patients with T2DM and may be a marker for predicting the occurrence of early kidney injury in patients with T2DM. Clinicians should test this indicator early to detect lesions and improve patient prognosis.

The relationship between coronary flow reserve and the TyG index in patients with gestational diabetes mellitus

Abstract Gestational diabetes mellitus (GDM) is a prevalent metabolic disorder characterized by glucose intolerance during pregnancy. The triglyceride glucose (TyG) index, a marker of insulin resistance, and coronary flow reserve (CFR), a measure of coronary microvascular function, are emerging as potential indicators of cardiovascular risk. This study aims to investigate the association between CFR and the TyG index in GDM patients. This cross-sectional study of 87 GDM patients and 36 healthy controls was conducted. The participants underwent clinical assessments, blood tests, and echocardiographic evaluations. The TyG index was calculated as ln(triglycerides × fasting glucose/2). CFR was measured using Doppler echocardiography during rest and hyperemia induced by dipyridamole. The study included 87 individuals in the GDM group and 36 individuals in the control group. There was no significant difference in age between the two groups (34.1 ± 5.3 years for GDM vs. 33.1 ± 4.9 years for the control, p = 0.364). The TyG index was significantly higher in the GDM group compared to the controls (p &amp;lt; 0.001) and CFR was lower in the GDM group (p &amp;lt; 0.001) as shown in Figure 1a and 1b. A negative and significant correlation between the TyG index and CFR was observed, which was demonstrated in Figure 2 (r = −0.624, p &amp;lt; 0.001). Linear regression revealed the TyG index as an independent predictor of reduced CFR. The study findings reveal a significant association between the TyG index and CFR in GDM patients, suggesting their potential role in assessing cardiovascular risk.TyG index and CFR of the groupsTyG and CFR correlation analysis

Triglyceride-glucose index predicts the prognosis of patients with ischemic cardiomyopathy

Abstract Objective A large number of studies have provided strong statistical evidence that the Triglyceride-glucose (TYG) index is associated with the development and prognosis of cardiovascular disease. However, little is known about the predictive value of TYG index for ischemic cardiomyopathy (ICM). This study aimed to investigate the predictive value of TYG index in patients with ICM. Methods Hospitalized patients ICM in our Hospital from April 2014 to December 2017 were included in this study. Inclusion criteria: previous definite diagnosis of coronary atherosclerotic heart disease (coronary angiography found one or more vessels stenosis &amp;gt; 50%) and echocardiography showed LVEF &amp;lt; 45 percent. In addition, the TYG index was calculated as follows :LN[fasting triglycerides (mg /dl)× fasting blood glucose (mg /dl)x1/2]. The endpoint of the study was MACE events, including all-cause death, myocardial infarction, ischemia-induced revascularization and heart failure (HF) rehospitalization. Results A total of 688 patients were included in this study and followed up for 1 year. In the multivariate Cox proportional hazards model, TYG index (adjusted HR 2.33 [95% CI: 1.30-4.20], P&amp;lt;0.01) were associated with an increased risk of MACE events, and the area under the ROC curve (AUC) was 0.604 (95%CI: 0.528-0.680, p &amp;lt;0.05). A total of 197 ICM patients with previously diagnosed diabetes were screened for analysis. We found that TYG index (adjusted HR 6.63 [95% CI: 2.15-20.47], P&amp;lt;0.01), and the AUC was 0.691 (95%CI: 0.562-0.820, p&amp;lt;0.05). Conclusion TYG index can predict the poor prognosis of ICM patients, and the predictive value of TyG index for ICM patients with diabetes is more significant.

The triglyceride-glucose index is a marker of thromboembolic events in atrial fibrillation patient under oral anticoagulation therapy

Abstract Background Atrial fibrillation (AF) increases the risk of stroke and thromboembolism; and appropriate risk stratification is central for better targeted patient management. The triglyceride-glucose (TyG) index indirectly assesses insulin resistance, and has been associated with cardiovascular risk. Purpose To investigate whether the TyG index could be a biomarker for assessing the risk of thromboembolic events in patients with AF. Methods We performed an observational prospective cohort study including outpatients diagnosed with AF starting vitamin K antagonist (VKA) or direct-acting oral anticoagulants (DOAC) therapy from January, 2016 to November, 2021. The primary endpoint was a combination of thromboembolic events, considered as the composite of myocardial infarction, and/or venous thromboembolism, and/or ischemic stroke/transient ischemic attack, over 2 years of follow-up. The TyG index was calculated as the natural logarithm (Ln) of the product of baseline plasma glucose and triglyceride using the following formula: Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)]/2. Patients were stratified into tertiles according to their TyG index (ie. first tertile: TyG index &amp;lt;4.59; second tertile: TyG index 4.59-4.83; third tertile: TyG index &amp;gt;4.83). Results We included 2907 patients (median age 77 [70-83] years; 52.5% female). The median TyG index was 4.71 (4.53-4.91), and 34% (989) where in the third tertile of TyG index. During a follow-up of 2 years, 209 (7.2%) patients suffered a thromboembolic event. Compared to patients in the first or second tertiles of TyG index, patients in the third tertile had an increased annual event rate of thromboembolic events (3.40 per 100 patient-years vs. 4.76 per 100 patient-years, p=0.043; and 3.41 per 100 patient-years vs. 4.76 per 100 patient-years, p=0.044), and higher incidence rate ratio (1.41 [95% CI 1.01-1.98], p=0.044 vs. first tertile; 1.40 [95% CI 1.01-1.97], p=0.044 vs. second tertile). Cox regression analyses adjusted for several risk factors demonstrated that the TyG index was an independent predictor for thromboembolic events (aHR 1.82; 95% CI 1.15-2.89; p=0.011). Patients in the third tertile of TyG index presented a 64% higher risk of thromboembolic events (aHR 1.64; 95% CI 1.17-2.29; p=0.004) (Table), with significantly lower event free survival (log-rank test p-value = 0.016) (Figure). Conclusions In this real-world cohort of AF patients under oral anticoagulation therapy, elevated TyG index was an independent risk factor for thromboembolic events. The TyG index is a simple, low-cost indicator, that could be used as a screening tool in everyday clinical practice.

The triglyceride-glucose index is a predictor for cardiovascular events and all-cause mortality in young and middle-aged patients with metabolic syndrome

Abstract Aims The association between the triglyceride-glucose (TyG) index and cardiovascular risk in young and middle-aged individuals with Metabolic syndrome (MetS) remains unclear. This study aimed to investigate the relationship between baseline TyG index and cardiovascular events and all-cause mortality in these patients among American adults. Methods This study enrolled 4937 young and middle-aged patients with MetS from the National Health and Nutrition Examination Survey (1999–2018). Mortality outcomes were determined by linking to National Death Index records up to December 31, 2019. Multivariate Cox proportional hazards models were constructed to analyze explore the associations between baseline TyG index and cardiovascular events or all-cause mortality. Non-linear correlations were explored using restricted cubic splines, and a two-piecewise Cox proportional hazards model for both sides of the inflection point was constructed. Results During the up to 9.3 years follow-up period, a total of 463 all-cause deaths and 143 cardiovascular events were recorded. The multivariate-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) escalate from the lowest to the highest TyG index quartile. Specifically, for cardiovascular events, the HRs range from 1.00 (reference) to 2.29 (1.22, 4.31) with a significant trend (P = 0.004). For all-cause mortality, the HRs vary from 1.00 (reference) to 1.59 (1.09, 2.32), also showing a significant trend (P = 0.003). The restricted cubic splines revealed a J-shaped association between the baseline TyG index with cardiovascular events and all-cause mortality in MetS patients. Conclusions The high TyG index was identified as an independent predictor of elevated rates of cardiovascular events among young and middle-aged patients with MetS. Additionally, a J-shaped curve pattern was observed in the association between these factors.

The triglyceride-glucose index, ventricular arrhythmias and major cardiovascular events in patients at high risk of sudden cardiac death

BackgroundThe association between the triglyceride-glucose (TyG) index and ventricular arrhythmias (VAs) is unclear. This study aimed to investigate the relationship between the TyG index, VAs, and major cardiovascular events in patients at high risk of sudden cardiac death (SCD).MethodsWe enrolled 1046 patients at high risk of SCD with an indication for implantable cardioverter-defibrillator (ICD) implantation at the Chinese National Center for Cardiovascular Diseases. The primary outcome was VAs, defined as sustained ventricular tachycardia and ventricular fibrillation documented by the ICD. The secondary outcomes were cardiac mortality, heart transplantation, and rehospitalization for heart failure.ResultsThe mean (± SD) age was 59.6 ± 14.0 years old, and 25.7% were female. During the mean follow-up of 36.1 months, 342 (32.7%) patients had VAs, and 185 (17.7%) patients had major cardiovascular events. The mean fasting glucose and triglyceride levels were 111.9 ± 42.7 mg/dL and 140.0 ± 95.4 mg/L, respectively, with a TyG index range of 6.96–11.8. In the Fine-Gray subdistribution hazard model analysis, an increase in the TyG index was associated with a significant increase in the VAs (per 1 TyG index, hazard ratio [HR] 2.95; 95% confidence interval [CI], 2.29–3.80) and secondary outcome (HR 2.84; 95% CI 1.86–4.34). When stratified into tertiles, the risk of VAs was significantly higher in the highest tertile (HR 4.08; 95% CI, 2.81–5.92) than in the lowest tertile. Analysis of the secondary outcome revealed similar findings (HR 3.18; 95% CI, 1.73–5.85).ConclusionsIn our cohort, the pre-operational TyG index is significantly associated with VAs and major cardiovascular events for patients with high risk of SCD.

Lack of incremental prognostic value of triglyceride glucose index beyond coronary computed tomography angiography features for major events

This study was aim to determine the prognostic value of triglyceride-glucose (TyG) index and coronary computed tomography angiography (CTA) features for major adverse cardiovascular events (MACE). In addition, we investigate the incremental prognostic value of TyG index beyond coronary CTA features in patients with suspected or known coronary artery disease (CAD). The present study ultimately includes 3528 patients who met the enrollment criteria. The TyG index was calculated based on measured levels of triglycerides and fasting blood glucose. Primary combined endpoint consisted of MACE, which defined as myocardial infraction (MI), all-cause mortality and stroke. Three multivariate Cox proportional hazard regression models were performed to assess the association between TyG index and MACE. C-statistic was performed to assess the discriminatory value of models. 212 (6.0%) patients developed MACE during a median follow-up of 50.4 months (IQR, 39.4–55.1). TyG index remained to be a significantly and independent risk factors for predicting MACE after adjusting by different models (clinical variables alone or plus coronary CTA features) in multivariable analysis. Both the addition of TyG index to clinical model plus Coronary Artery Disease Reporting and Data System (CAD-RADS) and to clinical model plus CAD-RADS 2.0 slightly but not significantly increased the C-statistic index (0.725 vs. 0.721, p = 0.223; 0.733 vs. 0.731, p = 0.505). TyG index was associated with an increased risk of MACE. However, no incremental prognostic benefit of TyG index over CAD-RADS or CAD-RADS 2.0 was detected for MACE in patients with suspected or known CAD.

Interaction and combined effect of triglyceride-glucose index and hypertension ontype 2 diabetesindividuals'peripheral arterial disease risk.

The interaction and combined effect of the triglyceride-glucose (TyG) index, an alternative parameter of insulin resistance, along with hypertension (HT), on the risk of peripheral arterial disease (PAD), a specific type of atherosclerotic cardiovascular disease, in individuals with type 2 diabetes (T2D) seems straightforward. However, specific research on this topic remains scarce. In this cross-sectional study, 2027 adult participants with T2D were devided into four groups based on the mean values of TyG index and various blood pressure parameters along with its category. Binary logistic regression, interaction analysis, combined effect size, and goodness-of-fit of the constructed models were performed. The TyG index's individual effect and it's combined effect with HT, or higher systolic blood pressure (SBP) or higher mean arterial pressure in patients with T2D correlated with a higher PAD risk respectively (odds ratio [OR], 0.50, [95% confidence interval {CI} 0.28-0.89]; OR, 0.32, [95% CI 0.12-0.90]; OR, 0.35, [95% CI 0.13-0.94]; OR, 0.35, [95% CI 0.12-0.98], respectively). Only an interaction effect exists between the TyG index and SBP (multiplicative interaction{INTM}: 1.02 [1.002, 1.038]). Combining them can significantly improve the accuracy of predicting PAD (area under the receiver operating characteristic curve {AUC}MAX = 0.7, AUCModel3 + TyG index + SBP-AUCModel3 = 0.027). All P values were < 0.05. This study suggested that TyG index and hypertension, as well as their combined and interaction effect were significantly correlated with the risk of PAD in T2D individuals.

The triglyceride glucose: high-density lipoprotein cholesterol ratio is associated with coronary artery calcification evaluated via non-gated chest CT

BackgroundCoronary artery calcification (CAC) is a common risk factor of cardiovascular disease. Although triglyceride glucose (TYG) index and high-density lipoprotein cholesterol (HDL-c) are both associated with CAC, no study has evaluated the correlation between the TYG/HDL-c ratio and CAC. In the present study, we investigated the relationships between CAC and the TYG index and the TYG/HDL-c ratio.MethodsA total of 9585 participants who underwent computed tomography (CT) screening for lung cancer from 2018 to 2020 were included in this cross-sectional study. Demographic data, laboratory test data and medical history data were collected from medical records. TYG = Ln[fasting glucose (mg/dL)×fasting TG (mg/dL/2]. The triglyceride glucose-HDL-c ratio was calculated as TYG/HDL-c. CAC was evaluated on chest CT images. Multivariate logistic regression analysis and restricted cubic splines were used to determine the relationships among the TYG index, TYG/HDL-c ratio and risk of CAC. The receiver operating characteristic (ROC) curve was used to evaluate the performance of the TYG index and TYG/HDL-c ratio in identifying CACs in individuals aged 60 years and above.ResultsCAC was detected in 2515 of 9585 participants (mean age 51.8 ± 15.5 years, 61.2% men). The prevalence of CAC was significantly greater in participants with a high TYG/HDL-c ratio (32.6% in the fourth quartile vs. 19.1% in the first quartile, p < 0.001). Multivariate logistic regression revealed that both the TYG index (odds ratio (OR) = 1.06, 95% confidence interval (CI): 1.02–1.10) and the TYG/HDL-c ratio were associated with coronary artery calcification (OR = 1.32, 95% CI: 1.14–1.51). No such association was observed between the TYG index and CAC when further adjusted for the serum lipid level (OR = 1.23, 95% CI: 0.99–1.54). The TYG/HDL-c ratio was still associated with CAC after further adjustment for low-density lipoprotein cholesterol and total cholesterol (OR = 1.21, 95% CI: 1.09–1.35). TYG/HDL-c ratio was associated both with single vessel and multivessel calcification (OR = 1.14, 95%CI:1.05–1.23; OR = 1.15, 95%CI: 1.05–1.21). Similar trends were observed when we categorized individuals by TYG index and TYG/HDL-c quartiles and in subjects older than 60 years. Restricted cubic splines revealed that the TYG/HDL ratio had a better dose‒responsive relationship than did the TYG index. Subgroup analysis revealed that the association between the TYG/HDL-c ratio and coronary artery calcification was mainly observed in nondiabetic or nonhypertensive participants, regardless of low-density lipoprotein cholesterol levels. The ROC curve also revealed that the TYG/HDL-c ratio was better able to identify CAC than the TYG index was (area under the curve = 0.54 vs. 0.52, p < 0.01) in subjects older than 60 years.Conclusion An increase in the TYG/HDL-c ratio is significantly positively associated with the risk of CAC, and the TYG/HDL-c ratio has a more stable association with CAC than TYG.

Nutritional status and triglyceride-glucose index influence delirium in elderly heart failure patients

Malnutrition and insulin resistance are linked to complications like delirium, yet their impact on elderly heart failure patients remains underexplored. This study investigates how nutritional status and the triglyceride-glucose (TyG) index influence delirium in this population. We conducted a retrospective study involving patients aged 75 and older with decompensated heart failure. Delirium was assessed using the Confusion Assessment Method (CAM), and nutritional status was evaluated with the Mini Nutritional Assessment Scale-Short Form (MNA-SF). The TyG index was calculated as: TyG index = ln [triglycerides (mg/dL) × fasting glucose (mg/dL) / 2]. The study included 412 patients (mean age 84.30 ± 5.16 years; 56.31% male), with 24.03% experiencing delirium during hospitalization. After adjusting for confounders, a higher TyG index was significantly associated with increased delirium risk (OR = 1.549, 95% CI: 1.102–2.178, P = 0.012), while a higher MNA-SF score correlated with reduced risk (OR = 0.793, 95% CI: 0.662–0.949, P = 0.011). Kaplan-Meier analysis showed significant differences in cumulative survival based on nutritional status and TyG index (Log-Rank test: χ²= 65.604, P < 0.001). Mediation analysis indicated that nutritional status partially mediated the relationship between the TyG index and delirium, and vice versa. Malnutrition and elevated TyG index levels increase delirium risk in elderly heart failure patients, underscoring the need for effective nutritional management and metabolic regulation.

Association of triglyceride-glucose index and its combination with obesity indicators in predicting the risk of aortic aneurysm and dissection

BackgroundThe association between the triglyceride-glucose (TyG) index and its combination with obesity indictors in aortic aneurysm and dissection (AAD) remains unclear. We aimed to investigate the association between TyG and TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), TyG-waist height ratio (TyG-WHtR) and AAD risk.MethodsThis study included 387,483 baseline participants from the UK Biobank with complete data on TyG, TyG-BMI, TyG-WC and TyG-WHtR. Cox proportional hazard models evaluated the relationship between these four indicators and the risk of AAD occurrence. Restricted cubic spline (RCS) examined the non-linear relationship between these indicators and AAD risk, while receiver operating characteristic (ROC) curves assessed the predictive value of these four indicators for AAD risk.ResultsOver a median follow-up of 13.7 years, 3,041 AAD events were recorded. Multivariate Cox regression analysis indicated that for each standard deviation increase, the risk of AAD occurrence increased by 33% (HR: 1.33, 95%CI: 1.29–1.38), 25% (HR: 1.25, 95%CI: 1.21–1.29), 61% (HR: 1.61, 95%CI: 1.56–1.66) and 44% (HR: 1.44, 95%CI: 1.39–1.49) for TyG, TyG-BMI, TyG-WC and TyG-WHtR, respectively. RCS demonstrated a linear relationship between these indicators and AAD risk, with TyG-WC demonstrating the best performance in predicting AAD occurrence based on ROC curves.ConclusionThe present study, based on a large prospective cohort design, showed that higher TyG index and its combination with obesity indices were significantly associated with the risk of AAD. Moreover, AFT models further showed that elevation of these indicators significantly advanced the onset of AAD. In addition, RCS analyses demonstrated a linear association between these indicators and the risk of AAD, and the TyG-WC showed higher predictive ability for AAD. These findings emphasize the potential application of the TyG index and its combination with obesity indicators in the early identification of AAD.

The association between triglyceride-glucose index and gallstones: NHANES 2017-2020

ObjectsIt remains unclear whether the triglyceride-glucose (TyG) index has correlations with gallstones. This study aimed to investigate the association between TyG index and gallstones.MethodsData was obtained from the 2017-2020 National Health and Nutrition Examination Survey (NHANES). Participants who provided complete data about TyG index and gallstones were included in the analysis. Multivariable regression analysis and subgroup analysis were preformed to estimate the relationship between TyG index and gallstones. Restricted cubic splines (RSC) was employed to calculate the cut off value.ResultsThe TyG index was independently associated with gallstones and demonstrates a clear positive correlation (OR = 1.10; 95% CI: 1.01–1.21; p = 0.033). The threshold value is 8.98, showing a positive correlation between TyG index and gallstones when the TyG index is less than 8.98 (Log likelihood ratio P &amp;lt; 0.001). Subgroup analysis indicates that the correlation between TyG and gallstones is mainly observed in individuals with obesity, females, younger individuals, and those with normal blood sugar levels, with these subgroups all acting as mediators between TyG and gallstones.ConclusionsHigher TyG index was linked to a higher chance of developing gallstones. Managing insulin resistance (IR) could help reduce the risk of gallstones since the TyG index is an indicator of IR.

Lipid levels and insulin resistance markers in gastric cancer patients: diagnostic and prognostic significance.

Gastric cancer (GC) is a highly heterogeneous and aggressive malignant tumor that seriously affects the life safety of people all over the world. Its early manifestations are subtle. The present study aimed to investigate the clinical significance of serum lipid profiles, insulin resistance markers including the triglyceride-glucose (TyG) index and the atherosclerotic index (AI), in GC patients. A retrospective analysis encompassed 215 GC patients and 827 healthy individuals. The study results show that the total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein levels, and the TyG index of GC patients were significantly lower than those of the control group before and after propensity score matching analysis. In the GC group, the levels of CEA, CA199, CA125, and CA724 tumor markers were higher than those in the healthy control group. Patients in advanced stages exhibited lower serum levels of serum lipids and TyG index compared to those in early stages. ROC analysis revealed that the TyG index, CA125, and CA199 combination yielded the highest positive prediction rate for GC at 98.6%. TyG index is significantly associated with the risk of adverse reactions after chemotherapy (OR = 1.104, 95% CI 1.028-1.186, P < 0.01). Multiple tumor markers and the TyG index combined detection showed correlations with five adverse reactions caused by chemotherapy (r < 0.6, P < 0.05). Preoperative lipid profiles in the serum show a strong correlation with patients diagnosed with GC. Evaluating a combination of various serum lipids and cancer markers significantly improves diagnostic precision for GC and the ability to predict chemotherapy side effects.

Type 2 diabetes and susceptibility to COVID-19: a machine learning analysis

BackgroundType 2 diabetes mellitus (T2DM) was one of the most prevalent comorbidities among patients with coronavirus disease 2019 (COVID-19). Interactions between different metabolic parameters contribute to the susceptibility to the virus; thereby, this study aimed to rank the importance of clinical and laboratory variables as risk factors for COVID-19 or as protective factors against it by applying machine learning methods.MethodThis study is a retrospective cohort conducted at a single center, focusing on a population with T2DM. The patients attended the Yazd Diabetes Research Center in Yazd, Iran, from February 20, 2020, to October 21, 2020. Clinical and laboratory data were collected within three months before the onset of the COVID-19 pandemic in Iran. 59 patients were infected with COVID-19, while 59 were not. The dataset was split into 70% training and 30% test sets. Principal Component Analysis (PCA) was applied to the data. The most important components were selected using a ‘sequential feature selector’ and scored by a Linear Discriminant Analysis model. PCA loadings were then multiplied by the PCs’ scores to determine the importance of the original variables in contracting COVID-19.ResultsHDL-C, followed by eGFR, showed a strong negative correlation with the risk of contracting the virus. Higher levels of HDL-C and eGFR offer protection against COVID-19 in the T2DM population. But, the ratio of BUN to creatinine did not show any correlation. Conversely, the AIP, TyG index and TG showed the most positive correlation with susceptibility to COVID-19 in such a way that higher levels of these factors increase the risk of contracting the virus. The positive correlation of diastolic BP, TyG-BMI index, MAP, BMI, weight, TC, FPG, HbA1C, Cr, systolic BP, BUN, and LDL-C with the risk of COVID-19 decreased, respectively.ConclusionThe atherogenic index of plasma, triglyceride glucose index, and triglyceride levels are the most significant risk factors for COVID-19 contracting in individuals with T2DM. Meanwhile, high-density lipoprotein cholesterol is the most protective factor.

Predictive value of triglyceride glucose index in acute kidney injury in patients with severe traumatic brain injury

Background At present, the relationship between the Triglyceride-glucose index (TyG index) and Acute kidney injury (AKI) in traumatic brain injury patients in the Intensive Care Unit (ICU) is still unclear. Currently, the relationship between TyG index and AKI occurred within 7 days in the ICU is a highly researched and trending topic. Objective In this study, we conducted in-depth exploration of the relationship between the development of AKI in traumatic brain injury (TBI) patients in the ICU and changes in TyG index, as well as its relevance. Methods A cross-sectional study was conducted with a total of 492 individuals enrolled in the Medical Information Mart for Intensive Care IV(MIMIC-IV) database. Multivariate model logistic regression, smoothed curve fitting and forest plots were utilized to confirm the study objectives. The predictive power of the TyG index for outcome indicators was assessed using subject work characteristics (ROC) curves. As well as comparing the Integrated Discriminant Improvement Index and the Net Reclassification Index of the traditional forecasting model with the addition of the TyG index. Results Of all eligible subjects, 55.9% were male and the incidence of AKI was 59.3%. There was a statistically significant difference in the incidence of AKI within 7 days in the ICU between the different TyG index groups. The difference between TyG index and the risk of AKI within 7 days in the ICU remained significant after adjustment for logistic multifactorial modeling (OR = 2.07, 95% CI = 1.41–3.05, P < 0.001). A similar pattern of associations was observed in subgroup analyses (P values for all interactions were greater than 0.05). The addition of TyG index to the traditional risk factor model improved the predictive power of the risk of AKI within 7 days in ICU (P < 0.05). Conclusion The findings of this study demonstrate a strong association between the TyG index and the occurrence of AKI within 7 days in ICU patients. The TyG index can potentially be used as a risk stratification tool for early identification and prevention of AKI. Implementing preventive strategies targeting patients with a high TyG index may help reduce the burden of AKI in the ICU. Further prospective studies are warranted to validate these findings and explore the clinical utility of the TyG index in AKI prevention.