Association of triglyceride-glucose index trajectories with the risk of worsening heart failure in elderly patients with chronic heart failure and type 2 diabetes: a competing risk analysis

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

Published: March 21, 2025

Abstract Background The triglyceride-glucose index serves as a dependable biomarker for gauging insulin resistance linked to cardiovascular disease. Our study was designed investigate how the trajectory of relates risk worsening heart failure and overall mortality in patients aged 60 years older with chronic type 2 diabetes. Methods This enrolled 466 who had ≥ 3 medical exams. formula calculating ln (fasting triglycerides [mg/dL] × fasting blood glucose [mg/dL]/2). longitudinal analysis analyzed via linear mixed models. relationships between TyG were competing Cox regression mixed-effects analysis. Results After variables adjustment, compared first quartile group, adjusted hazard ratios top group 2.40 (1.35–3.28) 10-year follow-up, 2.09 (1.22-3.58) follow-up duration. 1.99 (1.56–3.14) 1.87 (1.22–2.88) Compared low decreasing trajectory, high 1.37 (1.10–1.71) 5-year 1.78 (1.10–2.88) 1.67 (1.04–2.68) 2.16 (1.39–3.35) 2.23 (1.46–3.40) Conclusion During higher baseline level independently associated long-term an increased mortality.

Language: Английский

Association between metabolic visceral fat score and left ventricular hypertrophy in individuals with type 2 diabetes

Diabetology & Metabolic Syndrome, Journal Year: 2025, Volume and Issue: 17(1)

Published: March 6, 2025

Left ventricular hypertrophy (LVH), a hallmark of early-stage heart failure (HF), is common complication in individuals with type 2 diabetes mellitus (T2DM). Metabolic Visceral Fat Score (METS-VF), novel metric for estimating visceral adiposity, may provide valuable insights into LVH risk. This study explores the association between METS-VF and T2DM compare its predictive performance to traditional abdominal obesity indices. cross-sectional included 4,988 adults T2DM. Participants were stratified quartiles based on METS-VF. Logistic regression models assessed LVH. Restricted cubic spline analyses evaluated nonlinear relationships, while explored subgroups effects. Receiver operating characteristic (ROC) curves compared other prevalence increased across (Quartile 1: 7.9%; Quartile 2: 13.0%; 3: 20.0%; 4: 31.0%; P < 0.001). Higher was independently associated (OR: 9.79; 95% CI: 6.16-15.76; A relationship observed LVH, steeper risk increase above specific thresholds. Stratified showed that positive consistent. outperformed indices predicting (AUC: 0.68; 0.66-0.70). strongly T2DM, demonstrating superior practical, cost-effective tool early cardiac stratification, facilitating timely interventions mitigate HF populations.

Language: Английский

Assessing coronary artery stenosis exacerbated impact on left ventricular function and deformation in metabolic syndrome patients by 3.0 T cardiac magnetic resonance imaging

Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)

Published: Nov. 18, 2024

Abstract Background Metabolic syndrome (MetS) and coronary artery stenosis (CAS) independently increase the risk of cardiovascular events, while impact CAS on left ventricular (LV) function deformation in MetS patients remains unclear. This study investigates how varying degrees exacerbate LV myocardial patients. Methods One hundred thirty-one who underwent CMR examinations were divided into two groups: MetS(CAS−) group (n = 47) MetS(CAS+) 84). The was with non-obstructive CAS(NOCAS+) 30) obstructive CAS(OCAS+) 54). Additionally, 48 age- sex-matched subjects included as a control group. functional parameters measured compared among subgroups. determinants decreased global peak strains all identified using linear regression. receiver operating characteristic (ROC) curve logistic regression model (LRM) evaluated diagnostic accuracy degree for identifying impaired strain. Results Compared to MetS(CAS−), MetS(NOCAS+) showed significantly increased mass index (p < 0.05). Global longitudinal strain gradually from through MetS(OCAS+) (− 13.02 ± 2.32% vs. − 10.34 4.05% 7.55 4.48%, p groups (GPS), PSSR PDSR radial circumferential directions (all associated (GRPS) (β 0.289, 0.001) (GLPS) 0.254, 0.004) ROC analysis that can predict GRPS (AUC 0.730) GLPS 0.685). Conclusion Besides traditional biochemical indicators, incorporating assessment routine evaluations ensures more holistic approach managing Timely intervention is crucial improving outcomes this high-risk population.

Language: Английский