
Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)
Published: Oct. 24, 2024
Language: Английский
Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)
Published: Oct. 24, 2024
Language: Английский
Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)
Published: Jan. 13, 2024
Abstract Background Individuals who are overweight or obese often develop insulin resistance, mediation of the association between body mass index (BMI) and stroke risk through triglyceride-glucose (TyG) seems plausible but has not been investigated. This study aims to examine whether TyG mediates associations BMI with extent interaction joint relations outcome. Methods The China Health Retirement Longitudinal Study, initiated in 2011, is a nationally representative, ongoing prospective cohort involving 8 231 middle-aged older Chinese adults without history at baseline. Exposures examined include TyG, latter being logarithmized product fasting triglyceride glucose concentrations. primary outcome incidence, as determined self-reports, follow-up period extending from June 1, 30, 2018. Results Of participants, 3 815 (46.3%) were men; mean (SD) age was 59.23 (9.32) years. During median 7.1 years, 585 (7.1%) participants developed stroke. found mediate incident stroke, proportions mediated 16.3% for 24.0–27.9 kg/m 2 group 53.8% ≥ 28.0 group. No significant multiplicative additive interactions on (Additive: RERI = 1.78, 95% CI − 1.29–4.86; Multiplicative, HR 1.40, 0.86–2.27). HRs individuals quartile 4 compared those < 24.0 1 2.05 (95% 1.37–3.06) Combining enhanced predictive performance when their individual (AUC BMI+TyG vs AUC , 0.602 0.581 0.583). Conclusions appeared be associated more than 50% total adults. Public health efforts aiming reduction weight might decrease due resistance burden
Language: Английский
Citations
53Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)
Published: Feb. 24, 2024
Abstract Objective This study aimed to evaluate the association of triglyceride-glucose (TyG) index with all-cause and cardiovascular mortality risk among patients cardiometabolic syndrome (CMS). Methods We performed a cohort 5754 individuals CMS from 2001–2018 National Health Nutrition Examination Survey. The TyG was calculated as Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. Multivariate Cox proportional hazards regression models assessed associations between . Non-linear correlations threshold effects were explored using restricted cubic splines two-piecewise model. Results Over median follow-up 107 months, 1201 deaths occurred, including 398 disease-related deaths. multivariate model showed positive mortality. Each one-unit increase in associated 16% (HR: 1.16, 95% CI 1.03, 1.31, P = 0.017) 39% 1.39, 1.14, 1.71, 0.001) after adjusting for confounders. revealed U-shaped ( nonlinear < 0.044), identifying values (all-cause mortality: 9.104; 8.758). A below these thresholds displayed negative 0.58, 0.38, 0.90, 0.015) but not 0.39, 0.12, 1.27, 0.119). Conversely, exceeding positively 1.35, 1.17, 1.55, 0.001; HR: 1.54, 1.25, 1.90, 0.001, respectively). Notably, higher (≥ values) significantly increased only aged under 55 compared those lower (< values). Conclusions demonstrated correlation CMS. 9.104 8.758 mortality, respectively, may be used intervention targets reduce premature death disease.
Language: Английский
Citations
30Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)
Published: Feb. 20, 2024
Abstract Background The triglyceride-glucose (TyG) index is considered a dependable biomarker for gauging insulin resistance. atherogenic of plasma (AIP) represents marker reflecting atherosclerosis. However, there currently no study specifically exploring the associations these two biomarkers with severity new-onset coronary artery disease (CAD) under different glucose metabolic states. Therefore, this aims to evaluate correlations CAD in patients newly diagnosed various metabolism conditions. Method Totally 570 subjects first administered angiography were enrolled, including 431 and 139 non-CAD patients. was gauged by quantity narrowed arteries (single-vessel multi-vessel CAD). According WHO diabetes guidelines, states divided into normal regulation (NGR), pre-diabetes mellitus (Pre-DM), (DM). relationships TyG AIP validated logistic regression analysis, adjustment traditional cardiovascular risk elements medical treatments. Their predictive efficacy evaluated receiver operating characteristic (ROC) curves. Result independently correlated accordance analysis (both P < 0.05). Regardless states, statistical correlation between severity. NGR significantly related (P areas curve predicting 0.682 0.642 0.001), respectively, their optimal cut-off values 3.210 (Youden index: 0.305) 0.095 index:0.246), respectively. Conclusion have significant CAD. had association severity, regardless exhibited discernible link patients, but not pre-DM or DM populations. similar
Language: Английский
Citations
21Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)
Published: Jan. 27, 2025
Abstract Introduction Previous studies highlighted the association between 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 TyG CVD risk, stratified by status, as well potential modifying effect of diabetic status. Methods/design The PubMed, Cochrane Library, Embase databases were searched for on associations mortality without from inception December 2, 2024. random effects model was employed pool sizes. Results A total 50 cohort (7,239,790 participants) included. mean age participants 31.46 years (diabetes mellitus [DM]: 65.18; non-DM: 31.23), 40.66% female (DM: 36.07%; 40.70%). (HR: 1.72 vs. 1.55, P = 0.55), major adverse cerebrovascular 2.02 1.91, 0.84), stroke 1.46 1.39, 0.77) death 1.85 1.60, 0.56) similar among DM non-DM individuals. ischemic heart disease (IHD) 2.20 1.57, 0.03) all-cause 1.94 1.24, 0.01) stronger than patients. Conclusion showed events, mortality, independent low moderate certainty. IHD individuals Future should explore role index-associated outcomes mortality. Graphical abstract
Language: Английский
Citations
2Cardiovascular Diabetology, Journal Year: 2023, Volume and Issue: 22(1)
Published: Nov. 8, 2023
The triglyceride-glucose (TyG) index has been proposed as a potential predictor of adverse prognosis coronary heart disease (CHD). However, its prognostic value in patients with CHD and hypertension remains unclear. This study aimed to evaluate the association between TyG 1-year risk major cardiovascular events (MACEs) hypertension.The data for were taken from Hospital Information System database China-Japan Friendship which contained over 10,000 admissions 2019 2022. Boruta algorithm was performed feature selection. used univariable analysis, multivariable logistic regression restricted cubic spline (RCS) MACEs hypertension.After applying inclusion exclusion criteria, total 810 included median 8.85 (8.48, 9.18). Using lowest quartile reference, fully adjusted ORs (95% CIs) Q2, Q3, Q4 1.001 (0.986 ~ 1.016), 1.047 (1.032 1.062), 1.760 (1.268 2.444), respectively. After adjusting all confounders, we found that those highest had 47.0% increased follow-up (OR 1.470, 95% CI 1.071 2.018). results subgroup analysis similar main analyses. RCS model suggested nonlinearly associated (P nonlinear < 0.001).This shows elevated is marker among informs development clinical decisions improve outcomes.
Language: Английский
Citations
22International Journal of Cardiology, Journal Year: 2024, Volume and Issue: 418, P. 132663 - 132663
Published: Oct. 18, 2024
Language: Английский
Citations
15Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15
Published: April 19, 2024
Background and objective Type 2 Diabetes Mellitus (T2DM) with insulin resistance (IR) is prone to damage the vascular endothelial, leading formation of vulnerable carotid plaques increasing ischemic stroke (IS) risk. The purpose this study develop a nomogram model based on ultrasound radiomics for predicting IS risk in T2DM patients. Methods 198 patients were enrolled separated into control groups history. After manually delineating plaque region interest (ROI) from images, features identified selected using least absolute shrinkage selection operator (LASSO) regression calculate score (RS). A combinatorial logistic machine learning nomograms created RS clinical like triglyceride-glucose index. three models assessed area under curve (AUC) decision analysis (DCA). Results Patients divided training set testing by ratio 0.7. 4 selected. variables all statically significant used create combination prediction nomogram. (radiomics + nomogram) had largest AUC both (0.898 0.857), DCA showed that it higher overall net benefit compared other models. Conclusions This machine-learning-based plaques. Its diagnostic performance capabilities enable accurate, convenient, customized medical care.
Language: Английский
Citations
8Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 22, 2025
Although the triglyceride-glucose (TyG) index has been established as a valuable predictor for cardiovascular disease (CVD) and mortality, there is limited research exploring its association with all-cause or CVD mortality specifically in adults diabetes aged < 65 years without disease. This study aimed to investigate relationship between TyG both this population within United States. Our recruited 1778 from National Health Nutrition Examination Survey (NHANES) 2003–2018. Mortality outcomes were determined by linking Death Index (NDI) records up December 31, 2019. Cox regression modeling was employed examine population. The nonlinear assessed using restricted cubic splines (RCS). Additionally, subgroup analyses interaction tests conducted explore potential effect modifiers. A total of 1788 participants included final cohort, an average age 49.61 ± 0.32 years. During median follow-up 7.92 years, occurrence 150 deaths 33 CVD-related recorded. To independent risks three models developed. In Model 1, significant positive observed risk (HR 1.38, 95% CI 1.09–1.74). persisted minimally adjusted model 1.44, 1.13–1.83), which age, gender race. Even after full adjustment, remained 1.91, 1.36–2.70). We also found that linear. Subgroup revealed no interactions stratification variables. However, we did not observe results suggested significantly mortality.
Language: Английский
Citations
1Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)
Published: May 31, 2024
Abstract Background Ischemia and no obstructive coronary artery disease (INOCA) is increasingly recognized associated with poor outcomes. The triglyceride-glucose (TyG) index a reliable alternative measure of insulin resistance significantly linked to cardiovascular adverse prognosis. We investigated the association between TyG myocardial ischemia prognosis in INOCA patients. Methods patients who underwent both angiography perfusion imaging (MPI) were included consecutively. All participants divided into three groups according tertiles (T1, T2, T3). Abnormal MPI for individual territories was defined as summed stress score (SSS) ≥ 4 difference (SDS) 2. SSS refers sum all defects images, SDS rest images images. followed up major cardiac events (MACE). Results Among 332 patients, 113 (34.0%) had abnormal MPI. Patients higher rate (25.5% vs. 32.4% 44.1%; p = 0.012). Multivariate logistic analysis showed that high correlated (OR, 1.901; 95% CI, 1.045–3.458; P 0.035). During median 35 months follow-up, 83 (25%) MACE recorded, incidence observed T3 group (T3 T2 T1: 36.9% 21.6% 16.4%, respectively; 0.001). In multivariate Cox regression analysis, risk compared T1 (HR, 2.338; CI 1.253–4.364, 0.008). Conclusion This study indicates first time among
Language: Английский
Citations
5Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)
Published: June 28, 2024
The Triglyceride-glucose (TyG) index, a surrogate marker of insulin resistance, has been implicated in the risk ischemic stroke. However, interplay between TyG levels, lifestyle factors, and their collective impact on stroke non-diabetic populations remains inadequately explored. This study aims to evaluate association with joint development index population.
Language: Английский
Citations
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