Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation DOI Creative Commons
Huijun Jin, Xuefeng Xu, Chun Ma

et al.

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

Published: Dec. 20, 2024

We determined utilizing a sepsis participant cohort whether there is significant association between TyG-BMI (triglyceride glucose body mass index) and mortality rates at any stage. Herein, historical investigation approach was adopted, using information provided by the Medical Information Mart for Intensive Care-IV (MIMIC-IV). categorized included individuals in accordance with their data quartiles, primary outcomes were during hospital stay death rate due to reason postadmission day 28, 90, 365. To evaluate mortality's relationship sepsis-induced risk, we employed restricted cubic spline regression (RCS) Cox models. Additionally, confirmed TyG-BMI's predictive value via machine learning methods. Furthermore, performed subgroup analyses investigate possible differences among various patient groups. The 4759 individuals, aged 63.9 ± 15.0 years, involving 2885 males (60.6%). of that took place 90 365 days respectively 19.60%, 24.70%, 28.80%, 35.20%. As reflected models, negatively associated risk intervals: in-hospital [hazard ratio (HR) 0.47 (0.39–0.56), P = 0.003], 28 [HR 0.42 (0.35–0.49), < 0.001], 0.41 (0.35–0.48), (0.35–0.47), 0.001]. L-shaped, as RCS, 249 being turning point. Among patients critical care, correlated possibility days, one year postadmission. beneficial parameter categorizing levels predicting within year.

Language: Английский

Exploring the Association Between Triglyceride-Glucose Indices and Their Derivatives With Obstructive Sleep Apnea: Insights From the National Health and Nutrition Examination Survey DOI Creative Commons
Yating Zhou, Fei Xue

Nature and Science of Sleep, Journal Year: 2025, Volume and Issue: Volume 17, P. 143 - 155

Published: Jan. 1, 2025

Simple and affordable methods for evaluating Insulin Resistance (IR) have been suggested, such as the Triglyceride-Glucose (TyG) index its variants, including TyG-Body Mass Index (TyG-BMI), TyG-Waist Circumference (TyG-WC), TyG-Waist-to-Height Ratio (TyG-WHtR). The aim of this study is to investigate relationship between these TyG-related indices, which measure IR, Obstructive Sleep Apnea (OSA). This analyzed NHANES data from 2007-2008, 2015-2016, 2017-2020. TyG derivatives were evaluated continuous categorical variables in relation OSA using multivariable logistic regression models. Subgroup analyses, dose-response relationships, threshold effects explored, diagnostic performance indices was assessed AUC curves. included 8,374 participants. fully adjusted Model 3 analysis (Note: Body not TyG-BMI) showed a positive correlation all four indices. All indicators statistically significant relationships with when grouped into quartiles (TyG: AOR = 1.448, 95% CI: 1.260-1.663; TyG-BMI: 3.785, 3.319-4.317; TyG-WC: 2.089, 1.629-2.677; TyG-WHtR: 1.913, 1.548-2.363). revealed stronger association TyG-WHtR 41-59 age group (AOR 1.459, 1.254-1.698) low-income 1.451, 1.241-1.698). linear OSA, while TyG-BMI, TyG-WC, exhibited nonlinear relationships. capability highest an 0.647. confirms strong associations particularly demonstrates predictive power risk. Future longitudinal studies are recommended further enhance management resource-constrained environments.

Language: Английский

Citations

0
Relationship between triglyceride glucose-body mass index baselines and variation with future cardiovascular diseases risk in the middle-aged and elderly individuals DOI Creative Commons
Junpeng Qiao, Xueyu Chen,

Jinhong Pang

et al.

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: Jan. 27, 2025

Background Cardiovascular diseases (CVDs) are gradually becoming the leading cause of morbidity and mortality among chronic non-communicable diseases. Previous studies have found that TyG index is an effective alternative indicator for insulin resistance (IR) associated with cardiovascular events. Additionally, obesity directly or indirectly increases risk developing CVDs. Up to now, on combined effects these factors insufficient, conclusions not yet consistent. This study aims analyze whether baseline levels fluctuations triglyceride glucose-body mass (TyG-BMI) incidence CVDs their subtypes in a prospective cohort middle-aged elderly individuals. Methods The data this were obtained from China Health Retirement Longitudinal Study (CHARLS), which ongoing nationally representative study. After excluding participants partially missing variables could affect results, ultimately included 7,072 participants, records spanning 2011 2020. exposures TyG-BMI change 2015. was calculated as multiply BMI. categorized using K-means clustering grouped based quartiles. We used Cox proportional hazards models evaluate relationship between quartiles its variability subtypes. Results Among (mean age 59.1 ± 9.3 years), 3330 (47%) male. During average follow-up 7.1 years, 1,774 (25.1%) developed new-onset stratification by quartiles, higher increased CVDs, hazard ratio (HR) 95% confidence interval (95% CI) highest quartile group 1.69 (1.44-2.00). adjusting potential confounding factors, compared consistently low levels, those moderate slowly increasing trend had HR 1.27 CI 1.10-1.47), while decreasing 1.52 1.26-1.83). Conclusion Material changes independently Detecting long-term may aid early identification high-risk individuals help prevent occurrence various

Language: Английский

Citations

0
Changes in the triglyceride-glucose-body mass index estimate the risk of hypertension among the middle-aged and older population: a prospective nationwide cohort study in China in the framework of predictive, preventive, and personalized medicine DOI
Mingzhu Zhang,

Qihua Guan,

Zheng Guo

et al.

The EPMA Journal, Journal Year: 2024, Volume and Issue: 15(4), P. 611 - 627

Published: Oct. 8, 2024

Language: Английский

Citations

1
Linear relationship between triglyceride–glucose–body mass index and myopia in United States adolescents DOI

Zhaofeng Jin,

Yalan Liu, Ying Luo

et al.

European Journal of Ophthalmology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 5, 2024

Purpose To determine the relationship between triglyceride–glucose–body mass index (TyG-BMI) and incidence of myopia in United States (US) adolescents. Methods In this cross-sectional study, we utilized data from National Health Nutrition Examination Survey, with a focus on adolescents aged 12–19 years. Multivariate logistic regression models were used to TyG-BMI myopia. Furthermore, restricted cubic spline function model was explore linear changes Lastly, stratified analyses interaction term tests performed. Results The noted be 42.17% among US significantly linearly associated (p < 0.05). Compared low group, those high group exhibited 20% higher risk developing (OR = 1.20, 95% CI: 1.0–1.5, p for trend Conclusions is positively suggests importance metabolic health development. Controlling factors essential preventing

Language: Английский

Citations

0
Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation DOI Creative Commons
Huijun Jin, Xuefeng Xu, Chun Ma

et al.

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

Published: Dec. 20, 2024

We determined utilizing a sepsis participant cohort whether there is significant association between TyG-BMI (triglyceride glucose body mass index) and mortality rates at any stage. Herein, historical investigation approach was adopted, using information provided by the Medical Information Mart for Intensive Care-IV (MIMIC-IV). categorized included individuals in accordance with their data quartiles, primary outcomes were during hospital stay death rate due to reason postadmission day 28, 90, 365. To evaluate mortality's relationship sepsis-induced risk, we employed restricted cubic spline regression (RCS) Cox models. Additionally, confirmed TyG-BMI's predictive value via machine learning methods. Furthermore, performed subgroup analyses investigate possible differences among various patient groups. The 4759 individuals, aged 63.9 ± 15.0 years, involving 2885 males (60.6%). of that took place 90 365 days respectively 19.60%, 24.70%, 28.80%, 35.20%. As reflected models, negatively associated risk intervals: in-hospital [hazard ratio (HR) 0.47 (0.39–0.56), P = 0.003], 28 [HR 0.42 (0.35–0.49), < 0.001], 0.41 (0.35–0.48), (0.35–0.47), 0.001]. L-shaped, as RCS, 249 being turning point. Among patients critical care, correlated possibility days, one year postadmission. beneficial parameter categorizing levels predicting within year.

Language: Английский

Citations

0