Triglyceride Glucose Research Articles

Triglyceride-glucose index and hsCRP-to-albumin ratio as predictors of major adverse cardiovascular events in STEMI patients with hypertension.

This study aimed to evaluate the association between the triglyceride-glucose (TyG) index and high-sensitivity C-reactive protein-to-albumin ratio (hsCAR) and the prognosis of patients with STEMI and hypertension. A total of 699 patients diagnosed with STEMI and hypertension were included in this study database. Compared to the low TyG index group (< 7.8), the high TyG index group (≥ 7.8) was associated with an increased risk of MACE (HR 2.09, 95% CI = 1.58-2.77; P < 0.001). Similarly, a higher hsCAR (≥ 0.15) was linked to an increased risk of MACE (HR 1.46, 95% CI = 1.12-1.90; P = 0.005). Subsequently, we categorized the population into four groups based on the defined cutoff points. Compared to the low TyG-low hsCAR subgroup, the other three subgroups demonstrated an elevated risk of MACE. Among patients treated with PCSK9 and SGLT2 inhibitors, the combined effect of the TyG index and hsCAR on MACE was attenuated. Finally, The combined TyG index and hsCAR model exhibited optimal performance (AUC = 0.71, 95% CI = 0.67-0.75; P < 0.001). This study demonstrates that the TyG index and hsCAR provide strong combined predictive power. The synergistic utilization offers a comprehensive approach to cardiovascular risk assessment.

Effect of adipose tissue deposition on insulin resistance in middle-aged and elderly women: Based on QCT and MRI mDIXON-Quant.

To explore the relationship between adipose tissue deposition and triglyceride-glucose (TyG) index, an indicator clinically used to assess insulin resistance (IR), in middle-aged and elderly women using quantitative computed tomography (QCT) and MRI mDIXON-Quant sequence. All participants underwent quantitative computed tomography (QCT) and MRI mDIXON-Quant examination and calculated the TyG index based on the fasting blood glucose and triacylglycerol. Bounded by the median TyG index, all participants were divided into low TyG group and high TyG group. Visceral fat mass (VFM) and subcutaneous fat mass (SFM) were measured on QCT images. Hepatic proton density fat fraction (H-PDFF), pancreatic proton density fat fraction (P-PDFF), and lumbar bone marrow fat fraction (L-BMFF) were measured on MRI mDIXON-Quant images. Adjusting for age and body mass index (BMI), TyG was moderately positively correlated with H-PDFF, and r/P was 0.416/<0.001, TyG index was weakly positively correlated with VFM and P-PDFF, and r/P were 0.385/<0.001 and 0.221/0.030. There was a difference of VFM, H-PDFF, and P-PDFF between low TyG group and high TyG group (P < 0.05). Adjusting for age and BMI, VFM, and H-PDFF were the risk factors of high TyG, and H-PDFF was the independent risk factor of high TyG. VFM and H-PDFF were the risk factors of IR, and H-PDFF was the independent risk factor. Early identification and active treatment of adipose tissue deposition, especially hepatic fat deposition, may reserve and delay the progression of IR and even metabolic syndrome.

Triglyceride-glucose index predicts postoperative overall survival in hepatocellular carcinoma: a retrospective cohort study.

Insulin resistance is important in hepatocellular carcinoma (HCC) carcinogenesis and progression. The triglyceride-glucose (TyG) index, triglyceride to high-density lipoprotein cholesterol (TG/HDL-c) ratio or TyG-body mass index (TyG-BMI) are three non-invasive parameters for insulin resistance. However, their prognostic role in HCC patients undergoing hepatectomy remains unclear. HCC patients who underwent hepatectomy at the Meizhou People's Hospital from May 2011 to February 2023 were retrospectively explored. Patients were classified into high and low groups based on different TyG, TG/HDL-c, and TyG-BMI indices. The prognostic role of TyG, TG/HDL-c, and TyG-BMI was evaluated using Kaplan-Meier analysis and Cox regression models. A nomogram incorporating significant prognostic factors was constructed and validated. A lower TyG, lower TG/HDL-c, and lower TyG-BMI were linked to worse overall survival (OS) in HCC patients. Multivariate analysis indicated the TyG index, but not the TG/HDL-c and TyG-BMI index, could independently predict HCC OS. The nomogram incorporating the TNM stage and TyG index demonstrated good calibration, discriminative ability, and clinical benefit for predicting OS in HCC patients. The TyG index could independently predict HCC OS after hepatectomy in this cohort. The nomogram incorporating the TyG index may aid in the prognosis management of HCC.

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

The triglyceride glucose (TyG) index has been well recognized as a reliable marker of insulin resistance and substantially correlated with the pathogenesis and progression of hypertension and cardiovascular diseases. However, no study has investigated the association between the TyG index and endometriosis. Therefore, this study aimed to uncover an association between the TyG index and endometriosis. This cross-sectional investigation employed the extensive dataset derived from the National Health and Nutrition Examination Survey (NHANES) (1999-2006). To explore the potential connection between the TyG and endometriosis, a multivariate weighted logistic regression model was established. The nonlinear relationship between the TyG index and the risk of endometriosis was explored using restricted cubic spline models (RCS). Furthermore, subgroup analyses were conducted. Ultimately, 2,508 individuals were included in this investigation. The findings unveiled a robust positive correlation between the TyG index and the susceptibility to endometriosis (OR [95% CI]: 1.52 [1.024,2.258]; P < 0.05). This positive association remained consistent across diverse subgroups. Age, birthplace, and whether one ovary was removed were identified as significant risk factors. In RCS analysis, the TyG index showed a nearly linear relationship with the risk of endometriosis (P-nonlinear > 0.05). The findings indicate a positive association between the TyG index and the risk of endometriosis, exhibiting an approximate non-linear relationship.

Association between different insulin resistance surrogates and osteoarthritis: a cross-sectional study from NHANES 1999-2018.

Previous studies have demonstrated a relationship between prevalence of Osteoarthritis (OA) and insulin resistance (IR). The correlation between IR surrogates indices and gold standard tool for IR evaluation (Hyperinsulinemic-euglycemic clamp (HIEC)) have been well demonstrated. However, few studies evaluated the relationship between IR surrogates and OA. The aim of this study is to investigate the potential associations between different IR surrogates (the homeostatic model assessment of insulin resistance (HOMA-IR) index, the triglyceride glucose (TyG) index, the triglyceride glucose with body mass (TyG-BMI) index, the triglyceride glucose with waist circumference (TyG-WC) index, and the triglyceride glucose with the ratio of waist circumference divided by height (TyG-WtHR) index) and OA. This study used data from the National Health and Nutrition Examination Survey (NHANES). Multivariate logistic regression analysis was used to assess the associations of different IR surrogates with OA. After adjusting for covariates, TyG-BMI index (OR = 1.006, 95% CI [1.004, 1.007], P < 0.0001), TyG-WC index (OR = 1.002, 95% CI [1.002, 1.003], P < 0.0001) and TyG-WtHR index (OR = 1.425, 95%CI [1.292,1.572], P < 0.0001) still showed robust positive correlation with IR. The risk of OA in the fourth quartile of the TyG-BMI index, TyG-WC index, and TyG-WtHR index are 2.634-fold, 2.651-fold, and 2.433-fold higher than that in the first quartile, respectively. Compared to the HOMA-IR index and the TyG index, the association between the TyG-BMI, TyG-WC, and TyG-WtHR indices and OA is closer and more stable. The TyG-WtHR index has the highest accuracy in predicting OA, followed by the TyG-WC and TyG-BMI index.

The triglyceride-glucose index: a predictor of mortality risk among myocardial infarction survivors.

The relationship between the triglyceride-glucose (TyG) index and mortality among survivors of myocardial infarction (MI) remains understudied. This study aims to evaluate the association between the TyG index and mortality among adult MI patients in the US. Our study included 986 MI patients, sourced from the National Health and Nutrition Examination Survey conducted from 1999 to 2018. Employing a multivariate Cox proportional hazards model, we examined the association between the TyG index and mortality. To explore potential nonlinear relationships, we employed restricted cubic splines in our analysis. Additionally, we applied a two-piecewise Cox proportional hazards model for a more nuanced analysis of the data, using key turning points as boundaries. To validate the robustness of our research findings, we also performed subgroup analyses. During a 7,342 person-years follow-up period, 434 MI survivors succumbed to various causes, including 158 cardiovascular disease-related deaths. The study revealed a U-shaped pattern between the TyG index and mortality. At TyG index levels below the thresholds (8.85 for all-cause mortality and 9.02 for cardiovascular mortality), mortality exhibited a negative correlation with the TyG index (HR = 0.56, 95%CI 0.39-0.82; HR = 0.67, 95%CI 0.39-1.14). Conversely, mortality rates increased when the TyG index surpassed these thresholds (HR = 1.38, 95%CI 1.08-1.76; HR = 1.56, 95%CI 1.02-2.38). Furthermore, among diabetic patients, subgroup analyses demonstrated that the U-shaped pattern between the TyG index and cardiovascular mortality was particularly pronounced. Our research indicates that among MI survivors, a U-shaped pattern exists between the TyG index and mortality rates, which is particularly pronounced in the diabetic patient subgroup. The corresponding threshold values for all-cause and cardiovascular mortality are 8.85 and 9.02, respectively.

Isotretinoin increases non-insulin-based surrogate markers of insulin resistance in acne vulgaris patients

Background Lipid indices, particularly the triglyceride-glucose index (TyG index) and the triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio, are simple, reliable, non-insulin-based surrogate markers of insulin resistance that have recently gained prominence. The aim of this study was to evaluate the effect of isotretinoin treatment on surrogate markers of insulin resistance, in particular the TyG index, in patients with acne vulgaris (AV). Materials and methods This retrospective study reviewed the records of 200 patients who received isotretinoin treatment for acne vulgaris at the Department of Dermatology and Venereology between September 2023 and March 2024. Serum fasting glucose, fasting lipid profile [triglyceride (TG), total cholesterol (TC), very low-density lipoprotein cholesterol (VLDL-C), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C)] and other biochemical parameters were recorded. Triglyceride-glucose (TyG) index value was calculated with the formula Ln [fasting triglyceride (mg/dL) × fasting plasma glucose (mg/dL)/2]. Pre-treatment values were compared with values after 5 months of treatment. Results TyG index and TG/HDL, TC/HDL, and LDL/HDL ratios all increased statistically significantly (p < 0.001). In addition, a positive correlation was found between pre- and post-treatment TyG index values and pre- and post-treatment TC/HDL, LDL/HDL and TG/HDL ratio values (p < 0.001). Among lipid measurements, triglycerides, total cholesterol, VLDL-C, LDL-C increased statistically significantly (p < 0.001), while HDL-C decreased statistically significantly (p < 0.05). Conclusion The results of this study suggest that isotretinoin treatment may increase insulin resistance in AV patients by increasing surrogate biomarkers of insulin resistance. We also suggest that the TyG index and other lipid indices can be used in treatment follow-up.

Relationship of the Degree of Sarcopenia with the Severity of Nonalcoholic Fatty Liver Disease and Cardiometabolic Risk in Adolescents

The association between nonalcoholic fatty liver disease (NAFLD) and sarcopenia has been suggested. We investigated sarcopenia’s impact on NAFLD severity and its relationship with cardiometabolic risk in adolescents. We conducted a retrospective study on 122 patients aged 13–18 years and diagnosed with both NAFLD and sarcopenia by laboratory tests, abdominal ultrasound (US), and multifrequency bioelectrical impedance analysis. Sarcopenia was stratified into tertiles based on the skeletal muscle-to-fat ratio (MFR), NAFLD severity was established by the US, and cardiometabolic risk was assessed by the triglyceride–glucose (TyG) index and the atherogenic index of plasma (AIP). Compared with the other patients, those in the lower MFR tertiles exhibited a greater severity of NAFLD (p &lt; 0.001) and significantly higher TyG index and AIP. The independent effect of MFR was observed to have a negative correlation with the severity of NAFLD (p &lt; 0.001). Based on the aforementioned results, the degree of sarcopenia can be considered as one of the risk factors of severe NAFLD and might be an indicator of cardiometabolic risk in adolescents. Weight training to reach the amount of muscle mass could be included in the treatment strategies to improve or prevent NAFLD in adolescents with sarcopenia.

The triglyceride-glucose index as an indicator of latent atherogenicity of the plasma lipid profile in healthy men with normolipidaemia

ABSTRACT 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.

Association between cardiorenal syndrome and depressive symptoms among the US population: a mediation analysis via lipid indices

BackgroundCardiovascular diseases (CVD), chronic kidney disease (CKD), and lipids are positively correlated with the presence of depressive symptoms. However, investigation into the complex link that exists between cardiorenal syndrome (CRS) and lipid indices and depression remains scarce.MethodsThis study analyzed data from 11, 729 adults in the National Health and Nutritional Examination Surveys from 2005 to 2018. Weighted regression analysis was employed to examine the relationships between CRS and depression, CRS and the Patient Health Questionnaire-9 score, and lipid indices with depression. The restricted cubic spline analysis was used to determine whether there is a linear association between lipid indices and depression. Smooth curve fitting was employed to illustrate the relationship between lipids, depression, and cardiorenal diseases. Subgroup and sensitivity analyses were also conducted to enhance the stability of the results. Finally, we applied mediation analysis to explore whether the Atherogenic Index of Plasma (AIP), triglyceride glucose (TyG) index, and remnant cholesterol (RC) mediate the association between CRS and depression.ResultsAfter applying propensity score matching (PSM), 1,509 adults remained in the study. After PSM, more remarkable results were rendered that CRS was associated with depression compared with non-CRS (OR: 1. 240, 95% CI: 1. 237 ~ 1. 243), only-CVD (OR: 0. 646, 95% CI: 0. 644 ~ 0. 649), and only-CKD (OR: 1.432, 95% CI: 1.428 ~ 1.437) in a fully corrected model. Smooth curve fitting shows that the intersection point of the lines of CRS and non-CRS occurs at a higher value on the horizontal axis than the intersection point of the lines representing CVD and non-CVD. In the fully corrected model, AIP, TyG, and RC did not independently mediate the association between CRS and depression.ConclusionThere was a significant association between CRS and depression and a linear relationship between AIP, TyG, and RC and depression. However, the above lipid indicators did not mediate the association between CRS and depression.Graphical

The Impact of Triglyceride-Glucose (TyG) Index on Future Cardio and Cerebrovascular Events in Patients with Acute Coronary Syndrome, During 3 Years of Follow-Up

Background: The triglyceride-glucose (TyG) index is a new alternative insulin resistance (IR) biomarker. The purpose of this study was to assess whether the TyG index can have a prognostic value in patients with acute coronary syndrome (ACS). Moreover, we wanted to compare the TyG index with HOMA index. Methods: We retrospectively enrolled 115 consecutive subjects, 81 males and 34 females, referred for ACS to our Unit of Cardiovascular Care of Policlinico Paolo Giaccone, Palermo. The subjects were divided into tertiles according to TyG index values and we performed a 3-year follow-up study. We considered as an end point new cardiovascular and cerebral events (MACCEs) during follow-up. Results: We found a significant statistical correlation between the HOMA index and the TyG index (p = 0.001). Patients with elevated TyG index have a higher incidence of MACCE at a 3-year follow-up. In our study the TyG index was an independent predictor of MACCEs (95% CI 1.8158 to 16.8068; P 0.0026) and the optimal TyG index cut-off for predicting MACCEs was 4.92 (sensitivity 76.56% and specificity 72.55%). Conclusions: The TyG index seems to significantly have an important prognostic role in patients with ACS and high values of TyG index are superior to HOMA-IR in predicting MACCEs.

Non-linear connection between the triglyceride–glucose index and prediabetes risk among Chinese adults: a secondary retrospective cohort study

BackgroundThe triglyceride–glucose (TyG) index has garnered recognition as a surrogate marker for insulin resistance, a pivotal factor in the pathogenesis of various metabolic disorders. Despite its emerging role, the empirical evidence delineating its association with prediabetes mellitus (Pre-DM) remains scant. This research aims to clarify the link between the TyG index and the likelihood of Pre-DM development within a Chinese demographic.MethodsThis investigation was structured as a retrospective cohort analysis, encompassing a sample of 179,177 Chinese adults. These individuals underwent medical examinations at the Rich Healthcare Group over a period spanning from 2010 to 2016. To ascertain the relationship between the TyG index and the incidence of Pre-DM, this study employed Cox regression analysis complemented by sensitivity and subgroup assessments. Furthermore, Cox proportional hazards regression with cubic spline functions and smooth curve fitting was incorporated to explore the existence of any non-linear connection within this association.ResultsUpon adjusting for a comprehensive array of confounding variables, a statistically significant positive correlation between the TyG index and the risk of Pre-DM was identified (HR: 1.60, 95%CI 1.56–1.65, P < 0.001). The analysis illuminated a non-linear relationship, with an inflection point at a TyG index value of 8.78. For TyG index values below and above this inflection point, the HR was calculated to be 1.94 (95%CI 1.86–2.03) and 1.26 (95%CI 1.20–1.33), respectively. Sensitivity analyses further fortified the reliability of these findings.ConclusionsThis comprehensive examination delineated a significantly positive, non-linear correlation between the TyG index and the risk of Pre-DM within a Chinese population. Individuals with TyG index values below 8.78 have a significantly increased risk of developing prediabetes. These findings underscore the TyG index’s potential efficacy as a predictive tool for assessing Pre-DM risk in clinical practice.

Association between triglyceride-glucose index and in-hospital all-cause mortality under different glucose metabolism status among patients with coronary artery disease

BackgroundThis current study aimed to investigate the relationship between the triglyceride-glucose (TyG) index and in-hospital all-cause mortality of coronary artery disease (CAD) in patients with different glucose metabolic statuses.MethodsParticipants were divided into three groups according to tertiles of the TyG index. Glucose metabolic status was classified as normal glucose regulation, pre-diabetes mellitus, and diabetes mellitus (DM). The primary outcome was in hospital all-cause mortality.ResultsWe observed a significant relationship between the TyG index and in-hospital deaths of patients with CAD in this study. After adjusting for multiple factors in the logistic regression model, the TyG index was still an independent risk factor, and the T3 group (OR, 2.311; 95% CI = 1.237–4.317; P = 0.009) was correlated with a 2.311-fold risk compared with the T1 group. In the subgroup analysis of different glucose metabolic status, the T3 group (OR, 1.541; 95% CI: 1.013–2.344; P = 0.043) were associated with a significantly higher risk of in-hospital deaths in CAD patients with DM.ConclusionsAn increased TyG index was correlated with a higher risk of in-hospital all-cause mortality. Our study indicated that TyG index could be a valuable predictor of in-hospital death of CAD patients, especially for individuals with DM.

Association between neutrophil-percentage-to-albumin ratio (NPAR) and metabolic syndrome risk: insights from a large US population-based study

Metabolic syndrome (MetS) is a cluster of conditions that increase the risk of cardiovascular disease and diabetes. This study aimed to investigate the association between Neutrophil-Percentage-to-Albumin Ratio (NPAR) and MetS in a large, nationally representative US population. We analyzed data from 28,178 participants in the National Health and Nutrition Examination Survey (NHANES) 2005–2018. Logistic regression models were used to evaluate the association between NPAR and MetS. Restricted cubic spline (RCS) models were employed to assess the dose-response relationship. Mediation analyses were conducted to explore potential mediating effects of serum uric acid and triglyceride-glucose (TyG) index. After adjusting for confounders, participants in the highest NPAR quartile had a 14% higher risk of MetS compared to those in the lowest quartile (OR 1.14, 95%CI 1.03–1.27, P = 0.010). RCS models revealed a monotonic increasing trend between NPAR and MetS risk (P for overall association = 0.002). Mediation analyses showed that serum uric acid and TyG index mediated 14.93% and 29.45% of the total effect of NPAR on MetS, respectively. Subgroup analyses indicated that the positive association between NPAR and MetS was more pronounced in Mexican Americans, individuals aged 20–65 years, those with lower income, males, current smokers, and moderate drinkers. Higher NPAR is associated with increased risk of MetS in the US adult population. This association is partially mediated by serum uric acid and TyG index. These findings suggest that NPAR may serve as a novel biomarker for MetS risk assessment and provide insights into potential mechanisms linking inflammation and metabolic disorders.

Triglyceride-glucose index is associated with heart failure with preserved ejection fraction in different metabolic states in patients with coronary heart disease

BackgroundThe triglyceride-glucose (TyG) index is a surrogate indicator of insulin resistance. Therefore, we aimed to determine the association between TyG index and heart failure (HF) with preserved ejection fraction (HFpEF) in patients with coronary heart disease (CHD) and to explore whether such associations would be modified by different metabolic states.MethodsAmong 107,301 CHD patients, 62,794 were included to analyze the relationship between the TyG index and HF. Among them, 8,606 patients who had undergone echocardiography were included to identify different types of HF, including HF with reduced ejection fraction (HFrEF), HF with intermediate-range ejection fraction (HFmrEF), and HFpEF. Among them, 1896 patients were diagnosed with HFpEF. Logistic regression was used to analyze the relationship between the TyG index and HFpEF in CHD patients. In addition, the association between TyG index and HFpEF according to sex, age, blood lipids, and blood pressure was assessed.ResultsA baseline analysis of CHD patients divided into four groups according to the tertile level of the TyG index showed significant differences in the related parameters between the groups. In the multi-adjusted models, the TyG index was significantly associated with the risk of HFpEF (odds ratio [OR]: 1.17; 95% confidence interval [CI]: 1.09–1.25). After adjustment for multivariates, TyG index levels for T2 (OR: 1.33; 95% CI: 1.16–1.52) and T3 (OR: 1.52; 95% CI: 1.32–1.74) were associated with increased OR in HFpEF. In addition, the TyG index of CHD patients was significantly associated with HFpEF in older adults aged &amp;gt; 60 years (OR: 1.20; 95% CI: 1.11–1.29), hypertension (OR: 1.27; 95% CI: 1.17–1.37), and dyslipidemia (OR: 1.15; 95% CI: 1.08–1.24). Moreover, the OR (OR: 1.23; 95% CI: 1.11–1.36) in women is higher than in men (OR: 1.17; 95% CI: 1.02–1.22, indicating a stronger association between TyG index and HFpEF in women.ConclusionsOur findings demonstrated a significant association between TyG index and HFpEF in CHD patients. Furthermore, TyG index was independently associated with HFpEF in hypertension, dyslipidemia, and older patients (aged &amp;gt; 60 years). In addition, the association between the TyG index and HFpEF in CHD patients differed according to sex.

The association between triglyceride-glucose index combined with obesity indicators and stroke risk: A longitudinal study based on CHARLS data

Background and objectiveThe triglyceride-glucose (TyG) index, a surrogate marker for insulin resistance, has been proposed as a predictor of cardiovascular events. However, the combined impact of the TyG index and obesity indicators, such as body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR), on stroke risk was not fully understood. This study aimed to investigate the association between the TyG index combined with these obesity indicators and stroke risk in the Chinese population.Materials and methodsData on 17,708 participants aged 45 years or older for this study were collected from the China Health and Retirement Longitudinal Study (CHARLS) from baseline (2011) to the Wave 5 follow-up (2020). Cox proportional hazards model, restricted cubic spline (RCS) and receiver operating characteristic (ROC) analysis were employed to examine the association between the TyG index and its combined obesity-related indicators with stroke. Mediation analysis was conducted to explore the mutual potential mediating role of TyG and obesity indicators in the above relationships.ResultsA total of 8,207 participants with an average age of 58.2 years were investigated, of which 11.0% were stroke individuals, 44.80% were men and 84.6% were from rural areas. TyG, TyG-BMI, TyG-WHtR, TyG-WC were significantly higher in stroke subjects than in the non-stroke subjects (P < 0.001), and were significantly and positively associated with stroke in all 3 models (P < 0.05). Restricted cubic spline models revealed nonlinear associations between TyG and TyG-BMI with stroke (P-overall < 0.001, P-nonlinear = 0.003 for TyG, and P-overall < 0.001, P-nonlinear = 0.028 for TyG-BMI), while TyG-WC and TyG-WHtR (P-overall < 0.001 and P-nonlinear > 0.05) demonstrated linear associations with stroke after adjusting for covariates. TyG-WHtR, TyG-BMI and TyG-WC had more robust predictive power than TyG for risk of stroke. TyG-WHtR or TyG-WC had the highest predictive power for stroke (AUC:0.696, 95% CI 0.677–0.715), slightly higher than the other indicators. Associations between TyG, TyG-WC, TyG-WHtR, and TyG-BMI with stroke were found to be stronger among individuals who were ≥ 55 years of age, male. The relationship between TyG and stroke was significantly mediated by BMI, WHtR and WC (15.79%, 21.72%, and 24.06% respectively), while the relationship between these obesity measures and stroke was significantly mediated by TyG (18.48%, 14.45%, and 14.70% respectively).ConclusionThe combination of TyG and obesity-related indicators was significantly associated with stroke risk, and could improve predictive power for stroke compared to the single TyG. Obesity indicators and TyG mediated each other in their respective associations with stroke risk.

Comparative study of insulin resistance surrogate indices to predict mild cognitive impairment among Chinese non-diabetic adults

ObjectiveThe study aims to investigate the associations of triglyceride glucose (TyG), TyG combined with body mass index (TyG-BMI), metabolic score for insulin resistance (METS-IR), the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C), and the risk of mild cognitive impairment (MCI) in individuals without diabetes aged 45 and above.MethodsThe most recent data in this study were from a cohort study, which sourced samples from the China Health and Retirement Longitudinal Study, spanning 2011 to 2018. The four indices’ associations with MCI risk were analyzed using logistic regression. The predictive capacity was measured using the receiver operating characteristic (ROC) curve.ResultsOver a 7-year follow-up, 1,261 individuals (31.34%) of the 4,027 participants developed MCI. Logistic regression analysis revealed significant associations between these surrogate indices and MCI. The findings for the highest quartile compared with the lowest quartile were as follows: TyG: 1.24 (95% CI: 1.02, 1.49); TyG-BMI: 1.38 (95% CI: 1.13, 1.68); METS-IR: 1.50 (95% CI: 1.09, 2.06); TG/HDL-C: 1.34 (95% CI: 1.10, 1.64). ROC analysis revealed that TyG, TyG-BMI, TG/HDL-C, and METS-IR demonstrated excellent discriminatory power for MCI, with area under the curve (AUC) values of 0.82 (95% CI: 0.80, 0.83), 0.82 (95% CI: 0.80, 0.83), 0.83 (95% CI: 0.80, 0.84), and 0.83 (95% CI: 0.80, 0.84), respectively. The four indices showed stronger ability to predict MCI risk in females compared to males.ConclusionElevated levels of four indices are positively correlated with MCI risk. TyG-BMI and METS-IR demonstrate stronger capabilities in identifying MCI across both male and female populations. This suggests that early intervention in patients with elevated IR surrogate indices may help reduce the MCI.

Triglyceride-glucose Index and Its combination with obesity indicators mediating the association between 2-hydroxyfluorene and the prevalence of cardiovascular disease: Evidence from the NHANES (2005–2018)

BackgroundPolycyclic aromatic hydrocarbons (PAHs) were increasingly recognized as a group of environmental pollutants associated with various health issues. The rise in their prevalence in the environment was concerning. Yet, the effects of PAH exposure on cardiovascular diseases (CVDs) were still not well understood. PurposeThis study investigated the impact of exposure to 2-hydroxyfluorene on CVDs prevalence, with a special focus on the mediating role of triglyceride-glucose (TyG) index and its combination with obesity indicators. MethodUsing National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018, this study assessed how 2-hydroxyfluorene affects CVDs prevalence through various statistical techniques. The investigation began with restricted cubic spline (RCS) analysis to explore the relationship between 2-hydroxyfluorene levels and CVDs prevalence. Logistic regression was then used to examine associations within PAH mixtures, alongside the Bayesian Kernel Machine Regression (BKMR) model. Furthermore, the Quantile G-Computation (QG-comp) model was used to evaluate the influence of weights and directions. A mediation analysis was also performed to assess the mediating role of TyG-related indicators on the relationship between 2-hydroxyfluorene and CVDs prevalence. Besides, the association between 2-hydroxyfluorene and the prevalence of each specific CVDs, congestive heart failure, myocardium infarction, angina pectoris and coronary heart disease, was also assessed and so was the mediated effect. Finally, the subgroup analysis was conducted to assess the association in each specific subgroup. ResultThe study, involving 3645 participants, found a significant positive association between 2-hydroxyfluorene exposure and CVD (OR (95 %CI) = 115.8013 (5.0521 ∼ 2654.3248), P=0.0029), with 2-hydroxyfluorene showing the positive contribution to CVDs prevalence within the phthalate mixture. The positive association also existed between 2-hydroxyfluorene and the prevalence of each specific CVDs. TyG and TyGWC (Triglyceride Glucose-Waist Circumference) were identified as mediators in the link between 2-hydroxyfluorene exposure and the prevalence of total CVD and each specific CVD, while TyGBMI (Triglyceride Glucose-Body Mass Index) can only mediate the association between 2-hydroxyfluorene and the prevalence of total CVD, congestive heart failure and angina pectoris ConclusionThe findings highlighted a significant association between 2-hydroxyfluorene exposure and CVDs prevalence, with TyG-related indicators acting as mediators.

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.