Triglyceride‐glucose index trajectories predict adverse cardiovascular outcomes in elderly heart failure patients with Diabetes: A retrospective cohort study DOI Creative Commons

Hong Liu,

Jian Wang,

Luo Zhi

et al.

Aging Medicine, Journal Year: 2024, Volume and Issue: 7(6), P. 717 - 726

Published: Dec. 1, 2024

Abstract Objective Evaluating the change trajectories of triglyceride‐glucose (TyG) index calculated after multiple tests in elderly heart failure (HF) patients may have clinical implications for predicting long‐term adverse cardiovascular events (MACEs). Methods This retrospective study included 1184 HF (LVEF ≥50%) with diabetes admitted to our center between January 2015 and 2020. Based on TyG levels detected during exposure period annual measurements, three distinct were determined using latent mixture modeling: low‐stable group (TyG <8.26, n = 367), medium‐stable 8.26–9.06, 613), high‐increasing >9.06, 204). The primary endpoint was composite outcome MACEs. Results There significant increases prevalence several risk factors conditions, such as male gender, BMI, current smoker, hyperlipidemia, atrial fibrillation, old myocardial infarction, fasting glucose, triglycerides, uric acid levels, from Low‐Stable Group High‐Increasing (all P < 0.05). During a median follow‐up 29 months (range, 18–46 months), 181 MACEs occurred. Kaplan–Meier analyses curve showed significantly increased groups compared ( HR 2.528, 95% CI : 1.665–3.838; 2.706, 1.722–4.255, respectively). Furthermore, rates failure‐related hospitalizations, nonfatal infarctions non‐fatal stroke groups. Multivariable Cox regression revealed that age 1.728), smoker 1.385), infarction 1.593), chronic renal disease 1.682), HbA1c 1.816), NT‐proBNP 2.471), trajectory 2.112) SGLT2 inhibitors 0.841) independently associated occurrence Conclusions is strongly T2DM, suggesting further optimize stratification model events.

Language: Английский

Association between triglyceride glucose index and adverse cardiovascular prognosis in patients with atrial fibrillation without diabetes: a retrospective cohort study DOI Creative Commons
Aobo Gong, Ying Cao, Zexi Li

et al.

Lipids in Health and Disease, Journal Year: 2025, Volume and Issue: 24(1)

Published: Jan. 25, 2025

Abstract Background Atrial fibrillation (AF) is the most prevalent arrhythmia encountered in clinical practice. Triglyceride glucose index (Tyg), a convenient evaluation variable for insulin resistance, has shown associations with adverse cardiovascular outcomes. However, studies on Tyg index’s predictive value prognosis patients AF without diabetes are lacking. Methods This retrospective study utilized electronic medical records to collect data hospitalized at West China Hospital from January June 2020. Participants were categorized into three groups based their levels. The primary outcome, major events, included cardiac death, stroke, and myocardial infarction. Kaplan–Meier curve, Cox proportional hazards regression model, restricted cubic spline employed explore relationship between performance of CHA2DS2-VASc model was evaluated after incorporating index. Results comprised 864 participants (mean age 67.69 years, 55.32% male, 57.52% paroxysmal AF). Patients high had significantly higher risk developing events (MACE) ( P < 0.001, hazard ratio: 2.05, 95% confidence interval:1.65–2.56). MACE middle group similar that low = 0.1) during 48-month follow-up period. focusing last 24 months revealed 0.015) group. analysis an S-shaped correlation MACE. combined showed improved net benefit. Conclusions A associated poorer diabetes. Integrating may enhance its performance, offering utility.

Language: Английский

Citations

1
Association of baseline and trajectory of triglyceride-glucose index with the incidence of cardiovascular autonomic neuropathy in type 2 diabetes mellitus DOI Creative Commons
Qiong Huang,

Wenbin Nan,

Baimei He

et al.

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

Published: Feb. 7, 2025

Cardiovascular autonomic neuropathy (CAN), characterized by disrupted regulation of the cardiovascular system, is a frequent complication associated with diabetes. The triglyceride-glucose (TyG) index represents precise insulin resistance indicator. However, influence baseline and prolonged TyG patterns on CAN risk in type 2 diabetes remains unclear. Based Action to Control Risk Diabetes (ACCORD) trial, multivariate logistic regression models restricted cubic splines (RCS) were deployed for elucidating relation between incidence CAN. area under curve (AUC) receiver operating characteristic (ROC) was used assess diagnostic value predicting relationship trajectory occurrence individuals examined using Kaplan-Meier multivariable Cox proportional hazards model. Subgroup analysis robustness results. Additionally, we explored impact intensive glycemia treatment risk. In this study, these top quartile had greater likelihood developing (TyG Q4 vs. Q1 Model II, OR = 1.29, 95% CI 1.03-1.62, P 0.027). RCS indicated rising trend AUC 0.636 (95% 0.620-0.651; < 0.001), cut-off 0.208. During 7-year follow-up period, three unique trajectories recognized: class 1 (n 431, 23.26%), 798, 27.57%), 3 293, 31.71%). Notable discrepancies across various identified (P 0.001). that experienced comparison those after adjusting all covariates. found no significant effect modification relationship. group, reduced CAN, while an increased when compared standard group. Increased levels long-term are Intensive glycemic therapy might association chance

Language: Английский

Citations

1
The effect of non-insulin-based insulin resistance indices on the prediction of recurrence in patients with atrial fibrillation undergoing radiofrequency catheter ablation DOI Creative Commons

Yan Luo,

Duan Luo,

Guoshu Yang

et al.

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

Published: Aug. 7, 2024

Atrial fibrillation (AF) is acknowledged as a disease continuum. Despite catheter ablation being recommended primary therapy for AF, the high recurrence rates have tempered initial enthusiasm. Insulin resistance (IR) has been established an independent predictor onset of AF. However, correlation between non-insulin-based IR indices and late AF in patients undergoing radiofrequency remains unknown.

Language: Английский

Citations

4
Association between triglyceride–glucose index and mortality in critically ill patients with atrial fibrillation: a retrospective cohort study DOI Creative Commons

Ding Rong,

Erjing Cheng,

Wei Miao

et al.

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

Published: March 24, 2025

The triglyceride–glucose (TyG) index, an emerging surrogate marker of insulin resistance, has been implicated in adverse cardiovascular outcomes. However, its prognostic value critically ill patients with atrial fibrillation (AF) remains unclear. This study aimed to investigate the association between TyG index and all-cause mortality this high-risk population. We identified AF from Medical Information Mart for Intensive Care IV (MIMIC-IV) database categorized them into tertiles based on their levels. primary outcome was 30-day mortality, 90-day 365-day as secondary Cox proportional hazards regression analysis restricted cubic splines were used elucidate relationship mortality. Kaplan–Meier survival performed visualize differences among tertiles. A total 1473 included; 30-day, 90-day, rates 26.8%, 33.3%, 41.1%, respectively. Multivariate revealed that independently associated at 30 days [hazard ratio (HR) (95% confidence interval (CI)) 1.26 (1.09–1.45), P = 0.002], 90 [HR CI) 1.27 (1.11–1.45), < 0.001], 365 1.24 (1.10–1.40), 0.001]. Restricted showed a positive linear risk. curves further confirmed significant disparities across observed higher increased 30, 90, AF. underscores role key indicator risk stratification management intensive care.

Language: Английский

Citations

0
Association Between Triglyceride‐Glucose Index and Incomplete Device Endothelialization After Left Atrial Appendage Occlusion: A Retrospective Observational Study DOI

X J Jiang,

M Wang, Ruimin Wang

et al.

Catheterization and Cardiovascular Interventions, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

ABSTRACT Background The triglyceride‐glucose (TyG) index, a biomarker for insulin resistance, has been shown to be associated with cardiovascular diseases. However, its association delayed device endothelialization after left atrial appendage occlusion (LAAO) not yet explored. Methods This retrospective study included 594 patients non‐valvular fibrillation (NVAF) who underwent LAAO the Watchman2.5 at Electrophysiology Center of Taizhou People's Hospital, Nanjing Medical University. Postoperative follow‐up was performed 3 months using Contrast‐Enhanced Computed Tomography Angiography (CCTA). Patients were grouped based on quartiles TyG index. Logistic regression analysis and restricted cubic spline (RCS) models used evaluate between index incomplete (IDE) postprocedure. Results divided into four groups quartiles, Group 1 (TyG ≤ 8.17) serving as reference. In Groups (8.32 < 8.50) 4 > 8.50), identified an independent risk factor IDE RCS model confirmed significant linear relationship Furthermore, consistent across different subgroups. Conclusion A higher significantly LAAO, suggesting that it could serve simple, cost‐effective predicting in this population.

Language: Английский

Citations

0
Independent effects of the glucose-to-glycated hemoglobin ratio on mortality in critically ill patients with atrial fibrillation DOI Creative Commons

Yuqing Fu,

Wei Xing,

Cong Xu

et al.

Diabetology & Metabolic Syndrome, Journal Year: 2024, Volume and Issue: 16(1)

Published: July 22, 2024

Abstract Background The glucose-to-glycated hemoglobin ratio (GAR) represents stress hyperglycemia, which has been closely associated with adverse outcomes in cardio-cerebrovascular diseases. No studies have examined the association between hyperglycemia and atrial fibrillation (AF) critically ill patients. This study aims to explore relationship GAR prognosis of patients AF. Methods A retrospective cohort was selected from Medical Information Mart for Intensive Care IV (MIMIC-IV) database. calculated based on fasting blood glucose glycated levels measured after admission. primary outcome 30-day mortality rate, secondary being 90-day 365-day rates. divided into tertiles, Kaplan–Meier analysis employed compare differences rates groups. Cox proportional hazards model restricted cubic splines (RCS) were utilized evaluate mortality. Subsequently, a segmented regression constructed analyze threshold effects cases where nonlinear relationships determined. Results In this cohort, second tertile exhibited lower at 30 days (10.56% vs 6.33% 14.51%), 90 (17.11% 10.09% 17.88%), 365 (25.30% 16.15% 22.72%). third tertile, risk increased by 165% (HR = 2.65, 95% CI 1.99–3.54, p < 0.001), 113% 2.13, 1.68–2.70, 70% 1.70, 0.001). patient demonstrated “J-shaped” non-linear correlation. Once exceeded 15.915, each incremental unit increase 27.2% 1.262, 1.214–1.333, Conclusion is both short-term long-term AF J-shaped relationship. Both low excessively high values indicate poor prognosis.

Language: Английский

Citations

2
Triglyceride‐glucose index trajectories predict adverse cardiovascular outcomes in elderly heart failure patients with Diabetes: A retrospective cohort study DOI Creative Commons

Hong Liu,

Jian Wang,

Luo Zhi

et al.

Aging Medicine, Journal Year: 2024, Volume and Issue: 7(6), P. 717 - 726

Published: Dec. 1, 2024

Abstract Objective Evaluating the change trajectories of triglyceride‐glucose (TyG) index calculated after multiple tests in elderly heart failure (HF) patients may have clinical implications for predicting long‐term adverse cardiovascular events (MACEs). Methods This retrospective study included 1184 HF (LVEF ≥50%) with diabetes admitted to our center between January 2015 and 2020. Based on TyG levels detected during exposure period annual measurements, three distinct were determined using latent mixture modeling: low‐stable group (TyG <8.26, n = 367), medium‐stable 8.26–9.06, 613), high‐increasing >9.06, 204). The primary endpoint was composite outcome MACEs. Results There significant increases prevalence several risk factors conditions, such as male gender, BMI, current smoker, hyperlipidemia, atrial fibrillation, old myocardial infarction, fasting glucose, triglycerides, uric acid levels, from Low‐Stable Group High‐Increasing (all P < 0.05). During a median follow‐up 29 months (range, 18–46 months), 181 MACEs occurred. Kaplan–Meier analyses curve showed significantly increased groups compared ( HR 2.528, 95% CI : 1.665–3.838; 2.706, 1.722–4.255, respectively). Furthermore, rates failure‐related hospitalizations, nonfatal infarctions non‐fatal stroke groups. Multivariable Cox regression revealed that age 1.728), smoker 1.385), infarction 1.593), chronic renal disease 1.682), HbA1c 1.816), NT‐proBNP 2.471), trajectory 2.112) SGLT2 inhibitors 0.841) independently associated occurrence Conclusions is strongly T2DM, suggesting further optimize stratification model events.

Language: Английский

Citations

0