Adjustment of the ACEF score by the triglyceride glucose index improves the prediction of clinical outcomes in patients undergoing percutaneous coronary intervention DOI Creative Commons
Qiao Feng,

Maoling Jiang,

Xiufen Peng

et al.

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

Published: Dec. 18, 2024

The ACEF score (age, creatinine, and left ventricular ejection fraction) the triglyceride-glucose (TyG) index have been identified as robust risk prediction models for adverse outcomes post-percutaneous coronary intervention (PCI) in atherosclerotic heart disease (CHD) patients. This study aimed to assess whether incorporating TyG enhances predictive ability of stratification CHD patients undergoing PCI. observational cohort enrolled 1248 diagnosed with who underwent PCI at Third People's Hospital Chengdu, China, between May 2018 December 2022. Receiver operating characteristic (ROC) curves were employed establish optimal cutoff values score. primary endpoint event was defined major cardiac cerebrovascular events (MACCEs). Cumulative survival plotted using Kaplan–Meier method. Univariable multivariable Cox regression analyses conducted identify predictors MACCEs. assessed area under ROC curve, net reclassification improvement (NRI), integrated discrimination (IDI). Over a median follow-up period 30.60 months, 214 experienced Kaplan-Meier analysis demonstrated significant association elevated (> 1.27) levels 8.82) heightened incidence MACCEs (HR = 2.018, 95%CI 1.593–2.789; HR 2.057, 1.572–2.691; Log-Rank test, both P < 0.001). Multivariable revealed that even after adjusting multiple confounders, remained 1.702, 1.210–2.394, 0.002; 1.575, 1.296–1.916, Additionally, addition into conventional model significantly improved predict MACCEs, evidenced by increase C-statistic value from 0.664 0.703, along notable improvements continuous NRI (0.391), categorical (0.107), IDI (0.033) (all combination long-term

Language: Английский

Non-insulin-based insulin resistance indexes in predicting atrial fibrillation recurrence following ablation: a retrospective study DOI Creative Commons
Zhe Wang, Haoming He, Yingying Xie

et al.

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

Published: Feb. 28, 2024

Insulin resistance (IR) is involved in the pathophysiological processes of arrhythmias. Increasing evidence suggests triglyceride and glucose (TyG) index, metabolic score for insulin (METS-IR), glucose-body mass index (TyG-BMI), to high-density lipoprotein cholesterol (TG/HDL-C) ratio are simple reliable surrogates IR. Although they have been associated with atrial fibrillation (AF), supporting this limited. Here, first study investigate association between TyG-BMI AF recurrence following radiofrequency catheter ablation (RFCA). The performance four non-insulin-based IR indexes predicting after was explored.

Language: Английский

Citations

17
Insulin resistance, coronary artery lesion complexity and adverse cardiovascular outcomes in patients with acute coronary syndrome DOI Creative Commons
Qiang Chen, Shiqiang Xiong, Ye Tao

et al.

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

Published: May 16, 2024

Abstract Background Insulin resistance (IR) is linked to both the complexity of coronary artery lesions and prognosis acute syndrome (ACS). However, precise extent this correlation its impact on adverse cardiovascular outcomes in ACS patients remain unclear. Therefore, study aims investigate intricate relationship between IR, lesion complexity, through a cohort design analysis. Method A total 986 with who underwent percutaneous intervention (PCI) were included IR was assessed using triglyceride-glucose (TyG) index, while evaluated SYNTAX score. Pearson’s coefficients utilized analyze correlations variables. The association TyG index score major events (MACEs) investigated Kaplan-Meier method, restricted cubic splines (RCS), adjusted Cox regression. Additionally, novel 2-stage regression method for survival data employed mediation analysis explore mediating outcomes, including MACEs unplanned revascularization. Results During median follow-up 30.72 months, 167 cases documented, 66 all-cause deaths (6.69%), 26 nonfatal myocardial infarctions (MIs) (2.64%), 99 revascularizations (10.04%). incidence MACEs, death, revascularization increased elevated Both (non-linear, P = 0.119) 0.004) displayed positive dose-response as illustrated by RCS curve. Following adjustment multiple factors, emerged significant predictors across population various subgroups. Mediation indicated that mediated 25.03%, 18.00%, 14.93%, 11.53% different models, respectively. Similar effects observed when endpoint defined Conclusion Elevated baseline associated higher risk ACS. Furthermore, partially outcomes.

Language: Английский

Citations

6
Predictive value of the triglyceride-glucose index for short- and long-term all-cause mortality in patients with critical coronary artery disease: a cohort study from the MIMIC-IV database DOI Creative Commons

Huijian Wang,

Qingan Fu,

Shucai Xiao

et al.

Lipids in Health and Disease, Journal Year: 2024, Volume and Issue: 23(1)

Published: Aug. 22, 2024

Triglyceride-glucose (TyG) index is linked to a poor prognosis for cardiovascular condition and valid indicator of insulin resistance. This study evaluated the potential predicting usefulness TyG all-cause mortality, both short- long-term, those concerning critical coronary artery disease (CAD). In this study, information from 5452 critically-ill individuals with CAD in intensive care units were gathered Medical Information Marketplace Intensive Care (MIMIC-IV) database. Depending on degree, patients categorized into three categories. Clinical outcomes included short-term (30-day) long-term (365-day) mortality. The corresponding relationships involving clinical examined by deploying restricted cubic spline (RCS) regression analysis Cox proportional risk regression. An increased was associated 30-day (Tertile 1: 6.1%, Tertile 2: 7.3%, 3: 9.2%, P = 0.001) 365-day 15.2%, 17.0%, 19.6%, 0.002) death rates across all causes. multiple variables indicates that higher indices all-caused mortality hazard ratios throughout short long terms, larger predictive value former. RCS analyses suggested notably linearly index. reliable predictor at different stages critically ill patients, ability Early intervention elevated may improve their survival outcomes. Future research should delve understanding its pathophysiological mechanisms develop strategies based index, providing new insights enhance outlook patients.

Language: Английский

Citations

5
Multiple triglyceride-derived metabolic indices and incident cardiovascular outcomes in patients with type 2 diabetes and coronary heart disease DOI Creative Commons
Shiyi Tao,

Lintong Yu,

Jun Li

et al.

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

Published: Oct. 14, 2024

Triglyceride (TG) and its related metabolic indices are recognized as important biomarker gauging cardiovascular diseases. This study aimed to explore the association between multiple TG-derived including atherogenic index of plasma (AIP), triglyceride-glucose (TyG) index, triglyceride glucose-body mass (TyG-BMI) outcomes identify valuable predictors for prognosis in patients with type 2 diabetes (T2DM) coronary heart disease (CHD).

Language: Английский

Citations

4
Insulin resistance mediate the association between leucine intake, dietary glycemic index, and type 2 diabetes in secondary cardiovascular prevention: path analysis from Brazilian cardioprotective nutritional (BALANCE) program DOI
Alinne Paula de Almeida, Leidjaira Lopes Juvanhol, Ângela Cristine Bersch-Ferreira

et al.

European Journal of Nutrition, Journal Year: 2025, Volume and Issue: 64(3)

Published: March 29, 2025

Language: Английский

Citations

0
Association between triglyceride-glucose index and the risk of heart failure hospitalization in older diabetic patients received right ventricular pacing: a retrospective cohort study DOI Creative Commons

Bingqi Fu,

Yu Yu,

Sijing Cheng

et al.

Acta Diabetologica, Journal Year: 2024, Volume and Issue: unknown

Published: June 19, 2024

Abstract Background The prognostic value of triglyceride-glucose (TyG) index is not yet known for older diabetic patients received right ventricular pacing (RVP). We aimed to investigate the association between TyG and risk heart failure hospitalization (HFH) in RVP. Methods This study was conducted January 2017 2018 at Fuwai Hospital, Beijing, China, included (age ≥ 65 years) that RVP first time. were obtained before implantation. primary endpoint HFH. Results A total 231 divided into three groups according tertiles index: < 8.5 (T1, N = 77), 8.5–9.1 (T2, > 9.1 (T3, 77). T3 group had higher rate HFH (Log-rank 11.7, P 0.003). Multivariate analyses showed that, served as an independent predictor HFH, both numerical variable (HR 1.94, 95% CI 1.21–3.11, 0.006), categorical 2.31, 1.09–4.89, 0.03). RCS demonstrated relatively low until exceeded 8.8, beyond which began increase rapidly (P-non-linear 0.006). Conclusion Preimplantation emerges a robust, RVP, 8.8 might be optimal cut-off value.

Language: Английский

Citations

2
Adjustment of the ACEF score by the triglyceride glucose index improves the prediction of clinical outcomes in patients undergoing percutaneous coronary intervention DOI Creative Commons
Qiao Feng,

Maoling Jiang,

Xiufen Peng

et al.

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

Published: Dec. 18, 2024

The ACEF score (age, creatinine, and left ventricular ejection fraction) the triglyceride-glucose (TyG) index have been identified as robust risk prediction models for adverse outcomes post-percutaneous coronary intervention (PCI) in atherosclerotic heart disease (CHD) patients. This study aimed to assess whether incorporating TyG enhances predictive ability of stratification CHD patients undergoing PCI. observational cohort enrolled 1248 diagnosed with who underwent PCI at Third People's Hospital Chengdu, China, between May 2018 December 2022. Receiver operating characteristic (ROC) curves were employed establish optimal cutoff values score. primary endpoint event was defined major cardiac cerebrovascular events (MACCEs). Cumulative survival plotted using Kaplan–Meier method. Univariable multivariable Cox regression analyses conducted identify predictors MACCEs. assessed area under ROC curve, net reclassification improvement (NRI), integrated discrimination (IDI). Over a median follow-up period 30.60 months, 214 experienced Kaplan-Meier analysis demonstrated significant association elevated (> 1.27) levels 8.82) heightened incidence MACCEs (HR = 2.018, 95%CI 1.593–2.789; HR 2.057, 1.572–2.691; Log-Rank test, both P < 0.001). Multivariable revealed that even after adjusting multiple confounders, remained 1.702, 1.210–2.394, 0.002; 1.575, 1.296–1.916, Additionally, addition into conventional model significantly improved predict MACCEs, evidenced by increase C-statistic value from 0.664 0.703, along notable improvements continuous NRI (0.391), categorical (0.107), IDI (0.033) (all combination long-term

Language: Английский

Citations

1