Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0–3 and the development of a machine learning prediction model: a nationwide prospective cohort study DOI Creative Commons
Bingtian Dong, Yuping Chen,

Xiaocen Yang

и другие.

Cardiovascular Diabetology, Год журнала: 2025, Номер 24(1)

Опубликована: Апрель 16, 2025

Background The American Heart Association recently introduced the concept of cardiovascular-kidney-metabolic (CKM) syndrome, highlighting increasing importance complex interplay between metabolic, renal, and cardiovascular diseases (CVD). While substantial evidence supports a correlation estimated glucose disposal rate (eGDR) CVD events, its predictive value compared with other insulin resistance (IR) indices, such as triglyceride–glucose (TyG) index, TyG-waist circumference, TyG-body mass TyG-waist-to-height ratio, triglyceride-to-high density lipoprotein cholesterol metabolic score for resistance, remains unclear. Methods This prospective cohort study utilized data from China Health Retirement Longitudinal Study (CHARLS). individuals were categorized into four subgroups based on quartiles eGDR. associations eGDR incident evaluated using multivariate logistic regression analyses restricted cubic spline. Seven machine learning models to assess index events. To model’s performance, we applied receiver operating characteristic (ROC) precision-recall (PR) curves, calibration decision curve analysis. Results A total 4,950 participants (mean age: 73.46 ± 9.93 years), including 50.4% females, enrolled in study. During follow-up 2011 2018, 697 (14.1%) developed CVD, 486 (9.8%) heart disease 263 (5.3%) stroke. outperformed six IR indices predicting demonstrating significant linear relationship all outcomes. Each 1-unit increase was associated 14%, 19% lower risk disease, stroke, respectively, fully adjusted model. incorporation significantly improved prediction performance area under ROC PR curves equal or exceeding 0.90 both training testing sets. Conclusions outperforms stroke CKM syndrome stages 0–3. Its enhances stratification may aid early identification high-risk this population. Further studies are needed validate these findings external cohorts. Graphical abstract

Язык: Английский

In Vitro Chronic Hyperinsulinemia Induces Remodelling of Vascular Smooth Muscle Cells from Young Men and Women in a Sex Hormone Independent Manner DOI Creative Commons

Ashley Jazzar,

Danielle Jacques,

Amira Abou-Aichi

и другие.

Pathophysiology, Год журнала: 2025, Номер 32(1), С. 12 - 12

Опубликована: Март 13, 2025

Elevated circulating insulin levels between 80 and 100 µU/mL characterize hyperinsulinemia, which often leads to metabolic disorders such as obesity, resistance, type 2 diabetes (T2D). can directly affect vascular function contribute the pathophysiology of cardiovascular system, including secondary arterial hypertension (SAH) atherosclerosis. It is well known that hyperinsulinemia induced remodeling heart. However, there no information on whether intrinsic differences exist human smooth muscle cells (VSMCs) if in vitro mimicking induces VSMCs morphological intracellular homeostasis a sex- sex hormones-dependent manner. Our cultured VSMCs, coupled with quantitative 3D confocal imaging results, show from young men women. Chronic (80 µU/mL, 48 h treatment) increases cell nuclear volumes associated increased calcium (Ca2+) ROS decreased glutathione. In absence pretreatment testosterone oestradiol women had effect. Both hormones partially but not completely prevented hyperinsulinemia-induced The increase VSMC volume may thickness tunica media, leading decrease lumen blood vessel, promotes development SAH atherosclerosis sex-dependent

Язык: Английский

Процитировано

0
Association of Triglyceride-Glucose–Related Obesity Indices With All-Cause and Cardiovascular Mortality Among Individuals With Hyperuricemia: A Retrospective Cohort Study DOI

Yong Huang,

Ziling Wei, Linfeng Wang

и другие.

Journal of the American Nutrition Association, Год журнала: 2025, Номер unknown, С. 1 - 10

Опубликована: Март 20, 2025

Objective This study sought to clarify the relationship between triglyceride-glucose (TyG)–related obesity indices and all-cause cardiovascular mortality in patients with hyperuricemia (HUA).

Язык: Английский

Процитировано

0
Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0–3 and the development of a machine learning prediction model: a nationwide prospective cohort study DOI Creative Commons
Bingtian Dong, Yuping Chen,

Xiaocen Yang

и другие.

Cardiovascular Diabetology, Год журнала: 2025, Номер 24(1)

Опубликована: Апрель 16, 2025

Background The American Heart Association recently introduced the concept of cardiovascular-kidney-metabolic (CKM) syndrome, highlighting increasing importance complex interplay between metabolic, renal, and cardiovascular diseases (CVD). While substantial evidence supports a correlation estimated glucose disposal rate (eGDR) CVD events, its predictive value compared with other insulin resistance (IR) indices, such as triglyceride–glucose (TyG) index, TyG-waist circumference, TyG-body mass TyG-waist-to-height ratio, triglyceride-to-high density lipoprotein cholesterol metabolic score for resistance, remains unclear. Methods This prospective cohort study utilized data from China Health Retirement Longitudinal Study (CHARLS). individuals were categorized into four subgroups based on quartiles eGDR. associations eGDR incident evaluated using multivariate logistic regression analyses restricted cubic spline. Seven machine learning models to assess index events. To model’s performance, we applied receiver operating characteristic (ROC) precision-recall (PR) curves, calibration decision curve analysis. Results A total 4,950 participants (mean age: 73.46 ± 9.93 years), including 50.4% females, enrolled in study. During follow-up 2011 2018, 697 (14.1%) developed CVD, 486 (9.8%) heart disease 263 (5.3%) stroke. outperformed six IR indices predicting demonstrating significant linear relationship all outcomes. Each 1-unit increase was associated 14%, 19% lower risk disease, stroke, respectively, fully adjusted model. incorporation significantly improved prediction performance area under ROC PR curves equal or exceeding 0.90 both training testing sets. Conclusions outperforms stroke CKM syndrome stages 0–3. Its enhances stratification may aid early identification high-risk this population. Further studies are needed validate these findings external cohorts. Graphical abstract

Язык: Английский

Процитировано

0