The EPMA Journal, Год журнала: 2024, Номер 16(1), С. 95 - 111
Опубликована: Дек. 18, 2024
Язык: Английский
Cardiovascular Diabetology, Год журнала: 2025, Номер 24(1)
Опубликована: Янв. 8, 2025
Among hypertensive cohorts across different nations, the relationship between triglyceride-glucose index (TyG) and its conjunction with obesity metrics in relation to cardiovascular disease (CVD) incidence mortality remains be elucidated. This study enrolled 9,283, 164,357, 5,334 hypertensives from National Health Nutrition Examination Survey (NHANES), UK Biobank (UKBB), Shanghai Pudong cohort. The related outcomes for CVD were defined by multivariate Cox proportional hazards models, Generalized Additive Models Mendelian randomization analysis. Mediation analysis explored mediating role of inflammatory markers above relationships. Five measures insulin resistance linked death a U-shaped pattern, highest group having risk increases. Higher glucose triglyceride-waist height ratio (TyG-WHTR) was higher all-cause (UKBB: HR 1.21, 95%CI 1.16–1.26, NHANES: 1.17, 1.00–1.36), 1.36, 1.23–1.49, 1.32, 1.00–1.72) risks. In China cohort, triglyceride/high-density lipoprotein-cholesterol (TG/HDL_C) associated risks stroke (HR 1.31, 1.00–1.73 1.67, 1.06–2.63). Inflammation like systemic response (SIRI) C-reactive protein (CRP) partially explained these links, CRP stronger effect. Genetically predicted TyG also (OR 1.26, 1.10–1.45) risk. An elevated indices are significantly correlated an increased three national cohorts. These anticipated serve as valid predictors incident individuals hypertension.
Язык: Английский
Процитировано
5
Cardiovascular Diabetology, Год журнала: 2025, Номер 24(1)
Опубликована: Янв. 29, 2025
Язык: Английский
Процитировано
2
Frontiers in Endocrinology, Год журнала: 2024, Номер 15
Опубликована: Сен. 6, 2024
To investigate the correlation of triglyceride-glucose (TyG) index and its combined obesity indicators with chest pain cardiovascular disease (CVD) in pre-diabetes diabetes population.
Язык: Английский
Процитировано
11
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Янв. 2, 2025
The triglyceride glucose (TyG) index-related obesity indices have been proposed as reliable indicators of insulin resistance. This study aims to investigate the association between TyG and sarcopenia well their potential a tool for screening sarcopenic patients. A cross-sectional was conducted involving 7,161 participants aged 18 above from National Health Nutrition Examination Survey. index indices, including glucose-body mass (TyG-BMI), glucose-waist circumference (TyG-WC), glucose-waist-to-height ratio (TyG-WHtR) were determined using standard formulas. appendicular skeletal muscle BMI used assess sarcopenia. relationship investigated restricted cubic spline analysis multivariate logistic regression analysis. diagnostic value -related compared receiver operating characteristic (ROC) curve. In fully adjusted model, positive correlation observed TyG-WHtR (for each one-unit increase in index: OR = 3.57, 95% CI: 2.71–4.71, P < 0.001). Additionally, analyses demonstrated significant predictor with highest odds ratio, reaching 12.50 (95% 6.13–25.70, 0.001) upper fourth quartile (Q4) first quartile, followed by TyG-BMI (Q4: 3.34; 1.92–5.80, TyG-WC 1.95; 1.04–3.68, RCS curve fitting indicated U-shaped diagnosis sarcopenia, an inflection point at 4.02. Furthermore, ROC analysis, AUC largest (0.79, ndex-related especially TyG-WHtR, shown be more effective identifying patients than alone.
Язык: Английский
Процитировано
1
Cardiovascular Diabetology, Год журнала: 2025, Номер 24(1)
Опубликована: Янв. 13, 2025
Triglyceride-glucose (TyG) related indices, which serve as simple markers for insulin resistance, have been closely linked to metabolic dysfunction-associated steatotic liver disease (MASLD), cardiovascular (CVD), and mortality. However, the prognostic utility of TyG-related indices in predicting risk CVD mortality among patients with MASLD remains unclear. Data 97,331 patients, a median age 58.0 years free at baseline, were obtained from UK Biobank. The TyG index, along its combination adiposity parameters (i.e. body mass index [BMI], waist circumference [WC], waist-to-height ratio [WHtR]), calculated. Cox proportional hazards models restricted cubic spline (RCS) performed evaluate associations between overall CVD, coronary heart (CHD), stroke, all-cause mortality, Additionally, Harrell's C-index, net reclassification (NRI), integrated discrimination improvement (IDI) used assess predictive performance these indices. Over follow-up 13.56 years, we identified 13,256 cases 10,980 CHD, 2,926 8,809 1,796 Compared lowest quartile participants high had significantly increased incident Specifically, hazard ratios occurring fourth versus first quartiles 1.19 (95% confidence interval: 1.13-1.25) TyG, 1.35 (1.28-1.42) TyG-BMI, 1.33 (1.26-1.40) TyG-WC, 1.39 (1.32-1.46) TyG-WHtR. RCS analyses indicated nonlinear association outcomes (all P values nonlinearity < 0.05), whereas there exhibited linear trends TyG-WHtR > 0.05, except TyG-WC stroke). Furthermore, demonstrated higher NRI, IDI patients. especially TyG-WHtR, significant individuals MASLD. may effective surrogate predictors
Язык: Английский
Процитировано
1
Cardiovascular Diabetology, Год журнала: 2025, Номер 24(1)
Опубликована: Янв. 22, 2025
Язык: Английский
Процитировано
1
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Март 18, 2025
Non-alcoholic fatty liver disease (NAFLD) is the most prevalent chronic worldwide. Cardiovascular (CVD) and NAFLD share multiple common risk factors. Life's Crucial 9 (LC9), a novel indicator for comprehensive assessment of cardiovascular health (CVH), has not yet been studied in terms its association with or predictive value NAFLD. This study analyzed data from 10,197 participants National Health Nutrition Examination Survey (NHANES) 2007 to 2018. The between LC9 was assessed using weighted logistic regression, while Cox proportional hazards models were applied evaluate relationship all-cause mortality among patients. Restricted cubic spline (RCS) analysis conducted explore dose-response relationships, Kaplan-Meier survival curves utilized examine differences outcomes. Machine learning (ML) approaches employed construct models, optimal model further interpreted SHapley Additive exPlanations (SHAP). An increase 10 points negatively associated (model 3: OR = 0.39, 95% CI 0.36 – 0.42, P < 0.001) patients HR 0.78, 0.67 0.91, 0.001). A non-linear observed (P 0.0001 nonlinearity). Among eight ML Support Vector (SVM) demonstrated best performance (AUC 0.873). SHAP indicated that significant predictor model. nonlinear negative linear Maintaining higher score may reduce developed exhibited strong clinical value, being critical factor model, facilitating self-risk targeted intervention.
Язык: Английский
Процитировано
0
Frontiers in Endocrinology, Год журнала: 2025, Номер 16
Опубликована: Янв. 22, 2025
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 association of TyG and its derived indicators, including baseline index, triglyceride glucose-body mass (TyG-BMI), mean glucose index-standard deviation (TyG-SD), prognosis SCAD undergoing percutaneous intervention (PCI). Methods This retrospective enrolled 2,306 patients. The Cox proportional hazards model was utilized evaluate between four indicators major adverse cardiovascular cerebrovascular events (MACCE). predictive ability for MACCE assessed using time-dependent receiver operating characteristic (ROC) curve. Kaplan-Meier survival analysis employed assess prognostic differences among groups. Results After a median follow-up 26.1 months, total 352 (15.3%) experienced MACCE. regression revealed that under fully adjusted model, when were stratified by tertiles, highest tertile each indicator had significantly increased risk compared those lowest tertile. Specifically, hazard ratio 1.653 (95% confidence intervals (CI): 1.234-2.214), TyG-BMI 2.467 (95%CI: 1.849-3.293), 2.451 1.794-3.349), TyG-SD 1.896 1.430-2.513). Time-dependent ROC curve demonstrated strongest at time point. results showed grouped there significant cumulative incidence three groups (P < 0.05). Conclusion Higher levels independently positively associated PCI. Among these greatest value Consequently, tracking long-term trends may be prioritized clinical practice.
Язык: Английский
Процитировано
0
Cardiovascular Diabetology, Год журнала: 2025, Номер 24(1)
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Фев. 3, 2025
Accurate prediction of cardiovascular disease (CVD) mortality is essential for effective treatment decisions and risk management. Current models often lack comprehensive integration key biomarkers, limiting their predictive power. This study aims to develop a model CVD-related using machine learning-based feature selection algorithm assess its performance compared existing models. We analyzed data from cohort 4,882 adults recruited between 1999 2004, followed up 20 years. After applying the Boruta selection, biomarkers including NT-proBNP, cardiac troponins, homocysteine were identified as significant predictors CVD mortality. Predictive built these alongside demographic clinical variables. Model was evaluated concordance index (C-index), sensitivity, specificity, accuracy, with internal validation conducted through bootstrap sampling. Additionally, decision curve analysis (DCA) performed benefit. The combined model, incorporating both variables, demonstrated superior C-index 0.9205 (95% CI: 0.9129–0.9319), outperforming variables alone (C-index: 0.9030 0.8938–0.9147)) or 0.8659 0.8519–0.8826)). Cox regression further mortality, elevated AST/ALT, TyG, BUN, systolic blood pressure, protective factors such higher chloride iron levels. Nomogram construction DCA confirmed that provided substantial net benefit across various time points. lipid profiles, inflammatory markers significantly improves accuracy novel approach offers enhanced prognostication, potential optimization inclusion additional lifestyle data.
Язык: Английский
Процитировано
0