Correlation between triglyceride-glucose index and atrial fibrillation in acute coronary syndrome patients: a retrospective cohort study and the establishment of a LASSO-Logistic regression model DOI Creative Commons
Chenglong Yao,

Yuan Qin,

Xuhe Yan

et al.

BMC Cardiovascular Disorders, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 5, 2024

Insulin resistance (IR) is an independent predictor of atrial fibrillation (AF), but the specific utility triglyceride-glucose (TyG) index as a predictive marker for incidence AF in acute coronary syndrome (ACS) population has not yet been explored. To explore correlation between TyG and risk ACS patients to establish model. A retrospective study was conducted on 613 admitted Department Cardiovascular Medicine at First Teaching Hospital Tianjin University Traditional Chinese from January 2022 September 2024. Patients were divided into four groups based quartiles index. further two occurrence AF: group non-AF group. Patient information collected through hospital's HIS system. Variable selection completed using LASSO regression algorithms. Multivariate logistic bidirectional stepwise analysis used construct Three different models constructed by adjusting confounding factors restricted cubic spline plots drawn validate significance combined with further. The value LASSO-multivariate model alone predicting analyzed receiver operating characteristic curve. algorithm showed that heart disease (CHD), valvular (VHD), TyG, age (AGE), diastolic blood pressure (DBP) ACS. demonstrated significant linear relationship higher increased patient population. area under curve (AUC) 0.65(95%CI = 0.58 ~ 0.73) 0.71(95%CI 0.65 0.77) respectively. Additionally, consistent across subgroups. In patients, stable AF, clinical identifying this

Language: Английский

Natural Products Alleviate Atrial Fibrillation by Modulating Mitochondrial Quality Control DOI

Teng Ge,

Rongjun Zou, Miao Zhang

et al.

Phytomedicine, Journal Year: 2025, Volume and Issue: 140, P. 156555 - 156555

Published: Feb. 22, 2025

Language: Английский

Citations

0
Insights into the complex relationship between triglyceride glucose-waist height ratio index, mean arterial pressure, and cardiovascular disease: a nationwide prospective cohort study DOI Creative Commons
Jie Xu, Dihui Cai,

Yuheng Jiao

et al.

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

Published: Feb. 28, 2025

Abstract Background Both the triglyceride glucose-waist height ratio (TyG-WHtR) index and elevated arterial blood pressure are risk factors for cardiovascular disease (CVD). However, it is uncertain whether TyG-WHtR can increase of CVD by influencing pressure, extent to which may mediate association between CVD. The purpose this study evaluate complex mean (MAP) with Methods All data in were obtained from China Health Retirement Longitudinal Study (CHARLS) free at baseline. was defined as self-reporting heart stroke. Cox proportional hazards model restricted cubic spline (RCS) used analyze MAP Time-dependent receiver operating characteristic (ROC) analysis assess predictive performance TyG-WHtR, Four-way decomposition method explored mediating effects Results A total 7976 participants included study. age 58.68 ± 9.60 years, 4263 (53.45%) females. During a maximum follow-up 7.0 1326 (16.62%) people developed signifcantly associated RCS regression analyses demonstrated positive linear incidence Compared < median median, those ≥ had highest (HR 1.961; 95%CI 1.660–2.317). combination incremental utility over either biomarker alone, evidenced improvements integrated discrimination improvement (IDI) net reclassification (NRI). While absolute remained moderate. Increased mediated 52.43% associations CVD, increased 83.40% Conclusion higher combined showed improved ability, indicated IDI NRI, although its overall still could partially well also These findings suggested that helps identify populations early improve stratifcation. Graphical abstract

Language: Английский

Citations

0
Diabetes and Atrial Fibrillation: Insight From Basic to Translational Science Into the Mechanisms and Management DOI
Bharat K. Kantharia, Mohammadreza Tabary, Lingling Wu

et al.

Journal of Cardiovascular Electrophysiology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

In spite of significant progress made in the management recent decades, atrial fibrillation (AF) continues to cause increased mortality and morbidities, including heart failure stroke. Diabetes mellitus (DM) is an independent risk factor for AF, adds risks hospitalizations when present along with AF. The pathophysiology AF related DM complex many inter-related factors. Atrial cardiomyopathy (atriopathy) structural changes from subcellular abnormalities fibrosis, coupled cardiac mechanical dysfunction, abnormal ion expression, dysregulation renin-angiotensin-aldosterone system autonomic nervous function, play crucial roles genesis progression this review, we discuss insights basic translational science into mechanisms associated DM.

Language: Английский

Citations

0
Correlation between triglyceride-glucose index and atrial fibrillation in acute coronary syndrome patients: a retrospective cohort study and the establishment of a LASSO-Logistic regression model DOI Creative Commons
Chenglong Yao,

Yuan Qin,

Xuhe Yan

et al.

BMC Cardiovascular Disorders, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 5, 2024

Insulin resistance (IR) is an independent predictor of atrial fibrillation (AF), but the specific utility triglyceride-glucose (TyG) index as a predictive marker for incidence AF in acute coronary syndrome (ACS) population has not yet been explored. To explore correlation between TyG and risk ACS patients to establish model. A retrospective study was conducted on 613 admitted Department Cardiovascular Medicine at First Teaching Hospital Tianjin University Traditional Chinese from January 2022 September 2024. Patients were divided into four groups based quartiles index. further two occurrence AF: group non-AF group. Patient information collected through hospital's HIS system. Variable selection completed using LASSO regression algorithms. Multivariate logistic bidirectional stepwise analysis used construct Three different models constructed by adjusting confounding factors restricted cubic spline plots drawn validate significance combined with further. The value LASSO-multivariate model alone predicting analyzed receiver operating characteristic curve. algorithm showed that heart disease (CHD), valvular (VHD), TyG, age (AGE), diastolic blood pressure (DBP) ACS. demonstrated significant linear relationship higher increased patient population. area under curve (AUC) 0.65(95%CI = 0.58 ~ 0.73) 0.71(95%CI 0.65 0.77) respectively. Additionally, consistent across subgroups. In patients, stable AF, clinical identifying this

Language: Английский

Citations

0