Nonlinear relationship between triglyceride-glucose index and cardiovascular mortality with competing risk analysis on populations aged 18–80 years DOI Creative Commons
Jianchun Yao, Jinping Lu,

LI Lin-fen

et al.

BMC Cardiovascular Disorders, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 26, 2025

The existing evidence regarding the relationship between triglyceride-glucose index (TyG index) and cardiovascular mortality risk remains relatively limited controversial, particularly within context of competing scenarios. This study seeks to investigate this relationship, while further incorporating impact non-cardiovascular as a event association. Data eligible participants were extracted from National Health Nutrition Examination Surveys (NHANES) 1999-2018. Traditional Cox proportional hazards regression Fine-Gray sub-distribution hazard models applied assess TyG relationship. Restricted cubic splines used estimate possible non-linearity, segmented log-likelihood ratio tests identify threshold values model fit. final analysis compromised number 23,800 participants, with mean age 47.75 ± 18.06 years, female prominent (51.72%). After fully adjusted, it revealed positive (HR = 1.24, 95%CI 1.08-1.41, P 0.0017). Furthermore, upon considering event, result attenuated but remained significantly (sHR 1.11, 1.11-1.11, < 0.0001). Besides, non-linear reversed L-shaped was revealed, cutoff value determined 9.4. Below 9.4, insignificant 1.10, 0.92-1.31, 0.2866), whereas beyond became 1.64, 1.21, 2.22, 0.0014), test confirmed effect (P 0.049). Significant interaction observed in body mass (BMI) subgroups, respectively, individuals ≤ 65 years normal BMI category exhibited higher for 0.05). present reveals robust among aged 18-80 despite influence event. Additionally, intensifying when specific threshold. younger than old may be more susceptible Not applicable.

Language: Английский

Triglyceride-glucose index: carotid intima-media thickness and cardiovascular risk in a European population DOI Creative Commons
Chiara Pavanello, Massimiliano Ruscica,

Sofia Castiglione

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: Jan. 13, 2025

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

Language: Английский

Citations

2
Does diabetes modify the triglyceride–glucose index associated with cardiovascular events and mortality? A meta-analysis of 50 cohorts involving 7,239,790 participants DOI Creative Commons
Jun Zhang, Qian Zhan,

Zhihao Deng

et al.

Cardiovascular 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

2
Can cardiovascular health and its modifiable healthy lifestyle offset the increased risk of all-cause and cardiovascular deaths associated with insulin resistance? DOI Creative Commons
Jiajun Qiu, Jine Li, Shan Xu

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: March 10, 2025

Insulin resistance(IR) is associated with an increased risk of all-cause and cardiovascular death, modifiable healthy lifestyles play active role in the improvement IR reduction death. Whether health (CVH) within it can attenuate or even offset heightened perils both deaths insulin resistance remains unclear. The study encompassed 14,172 participants from 2005–2018 NHANES programme. was evaluated using TyG index, TyG-WC, TyG-WHtR, while CVH assessed employing LE8 score, addition to LE4 index redefined according four behaviours. Weighted multifactor Cox regression models were used assess association mortality, dose-response relationships restricted cubic spline. Furthermore, subjects grouped scores, generalised linear estimate weighted mortality death for each group calculate absolute difference. Finally, predicted probability as a function computed, complex relationship between three visualised two-dimensional scatter plots three-dimensional surface plots. Among included study, 1534 occurred over mean follow-up period 7.6 years (382 these due causes). analysis indicated that elevated TyG-WC TyG-WHtR correlated greater likelihood all causes events, whereas inversely risks. Additional stratification revealed notable events improved, irrespective presence resistance. Additionally, high but moderate did not have significantly risks compared those low Stratified 3D reduced resistance-related reductions observed at higher levels. In this cohort improving behaviors deaths. Maintaining levels (LE8 ≥ 50) could caused by

Language: Английский

Citations

1
Assessing the impact of insulin resistance trajectories on cardiovascular disease risk using longitudinal targeted maximum likelihood estimation DOI Creative Commons
Yanjun Feng, Liangying Yin, Haoran Huang

et al.

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: March 10, 2025

Abstract Background Cardiovascular disease (CVD) is closely associated with Insulin Resistance (IR). However, there limited research on the relationship between trajectories of IR and CVD incidence, considering both time-invariant time-varying confounders. We employed advanced causal inference methods to evaluate longitudinal impact risk. Methods The data for this study were extracted from a Chinese nationwide cohort, named China Health Retirement Longitudinal Study (CHARLS). Triglyceride-glucose (TyG) index TyG body mass (BMI) used as surrogate markers IR, their changes recorded exposures. targeted maximum likelihood estimation (LTMLE) was how dynamic shifts in (i.e., increase, decrease, etc.) influence long-term risk, adjusting Results A total 3,966 participants included analysis, 2,152 (54.3%) being female. average age at baseline 58.28 years. Over course 7-year follow-up period, 499 (12.6%) developed CVD. Four distinct TyG-BMI identified: low stable, increasing, decreasing, high stable. LTMLE analyses revealed individuals ‘high stable’ ‘increasing’ groups had significantly higher risk developing compared those ‘low group, while ‘decreasing’ group showed no significant differences. Specifically, when exposure set TyG-BMI, odds 1.694 (95% CI: 1.361–2.108) times than group. Similar trends observed across other models, ORs 1.708 1.367–2.134) Model 2, 1.389 (1.083–1.782) 3, 1.675 (1.185–2.366) 4, 1.375 CI:1.07 − 1.768) 5. When changed index, results remained consistent, slightly lower magnitude ratios. Conclusions High stable increasing consistently exhibited ratios (ORs) comparing index. Early identification could provide insights preventing later life.

Language: Английский

Citations

0
Prognostic value of triglyceride-glucose index on predicting major adverse cardiovascular events in hypertensive patients: a systematic review and meta-analysis DOI
Iwan Dakota,

Wilbert Huang,

Matthew Aldo Wijayanto

et al.

American Journal of Preventive Cardiology, Journal Year: 2025, Volume and Issue: 22, P. 100996 - 100996

Published: April 19, 2025

Language: Английский

Citations

0
Nonlinear relationship between triglyceride-glucose index and cardiovascular mortality with competing risk analysis on populations aged 18–80 years DOI Creative Commons
Jianchun Yao, Jinping Lu,

LI Lin-fen

et al.

BMC Cardiovascular Disorders, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 26, 2025

The existing evidence regarding the relationship between triglyceride-glucose index (TyG index) and cardiovascular mortality risk remains relatively limited controversial, particularly within context of competing scenarios. This study seeks to investigate this relationship, while further incorporating impact non-cardiovascular as a event association. Data eligible participants were extracted from National Health Nutrition Examination Surveys (NHANES) 1999-2018. Traditional Cox proportional hazards regression Fine-Gray sub-distribution hazard models applied assess TyG relationship. Restricted cubic splines used estimate possible non-linearity, segmented log-likelihood ratio tests identify threshold values model fit. final analysis compromised number 23,800 participants, with mean age 47.75 ± 18.06 years, female prominent (51.72%). After fully adjusted, it revealed positive (HR = 1.24, 95%CI 1.08-1.41, P 0.0017). Furthermore, upon considering event, result attenuated but remained significantly (sHR 1.11, 1.11-1.11, < 0.0001). Besides, non-linear reversed L-shaped was revealed, cutoff value determined 9.4. Below 9.4, insignificant 1.10, 0.92-1.31, 0.2866), whereas beyond became 1.64, 1.21, 2.22, 0.0014), test confirmed effect (P 0.049). Significant interaction observed in body mass (BMI) subgroups, respectively, individuals ≤ 65 years normal BMI category exhibited higher for 0.05). present reveals robust among aged 18-80 despite influence event. Additionally, intensifying when specific threshold. younger than old may be more susceptible Not applicable.

Language: Английский

Citations

0