Associations of triglyceride glucose-body mass index with short-term mortality in critically ill patients with ischemic stroke

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

Published: Feb. 28, 2025

The triglyceride glucose-body mass index (TyG-BMI) has been established as a convenient and reliable marker for assessing insulin resistance (IR) shown to be significantly correlated with stroke. However, only few studies have conducted in this field, conflicting conclusions. This study based on the eICU database, investigated association between TyG-BMI 28-day mortality critically ill ischemic stroke (IS) patients. Multivariate Cox regression models were employed analyze impacts of hospital ICU mortality. Restricted cubic splines (RCS) applied explore nonlinear relationship K‒M curves utilized outcome comparisons among different groups. Additionally, interaction subgroup analyses performed validate robustness results. A total 1,362 patients IS enrolled, mean age 68.41 ± 14.16 years; 47.50% male. analysis revealed that, high group had higher mortality(HR = 1.734, P 0.032) (HR 2.337, p 0.048). RCS showed positive correlation Below inflection point 380.37, each increase 1 standard deviation (SD) (approximately 25.5 units) was associated 37.3% 1.373, 0.015), above 380.376, 1-SD resulted an 87.9% decrease 0.121, 0.057). log-likelihood ratio test value 0.004. For mortality, exhibited significant linear RCS. Elevated is increased risk short-term all-cause United States. result provides compelling evidence address existing discrepancies research domain, indicating that could serve straightforward efficient biomarker identifying at

Language: Английский

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Association between non-insulin-based insulin resistance indicators and frailty progression: a national cohort study and mendelian randomization analysis

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

Published: Jan. 22, 2025

Insulin resistance (IR) is linked to an increased risk of frailty, yet it remains unclear whether the non-insulin-based IR indicators are associated with frailty trajectories and physical function decline. It aimed examine associations triglyceride-glucose (TyG) index, metabolic score for insulin (METS-IR), estimated glucose disposal rate (eGDR) long-term deficit-accumulation Data from 6722 participants in China Health Retirement Longitudinal Study (CHARLS) were analyzed. Baseline TyG METS-IR, eGDR, along index (FI) over nine years, calculated. FI assessed using group-based trajectory model (GBTM). Logistic regression models used analyze between risk. Restricted cubic splines (RCS) utilized detect potential dose-response associations. Linear mixed-effects was evaluate development speed. Age, gender, educational level, marital status, smoking drinking life satisfaction, social activity sleep duration adjusted. Additionally, a two-sample Mendelian randomization (MR) performed assess causality observed Three including low-stable moderate-increasing accelerated rising identified. Regarding frail risk, each SD increment 16.1% increase (OR = 1.161; 95%CI: 1.092, 1.235). An inverse association eGDR OR (95%CI) being 0.741 (0.696, 0.788). A linear relationship baseline (P nonlinear 0.696), but patterns nonlinearity < 0.010) METS-IR 0.010). Each greater (β 0.005 SD/y; 95%CI 0.002, 0.008 P 0.001). similar pattern highest quartile showed significantly progression, β value 0.013 (95% CI 0.004, 0.022). slower (β=-0.006 SD/y, 95% CI=-0.009, -0.003 Participants presented lower annual change compared 1 group during follow-up (β=-0.013 CI=-0.022, -0.005 trend Similar findings Findings MR analysis causal higher 0.214, 0.079, 0.349; 0.002). The indicators, independently progression Monitoring managing abnormal metabolism should be recommended as part comprehensive strategies prevent or delay frailty.

Language: Английский

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Associations of estimated glucose disposal rate with frailty progression: results from two prospective cohorts

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

Published: Feb. 19, 2025

Frailty is a common geriatric syndrome associated with many adverse health outcomes. Identifying the risk factors of frailty crucial and insulin resistance (IR) considered as potential target. The estimated glucose disposal rate (eGDR) simple reliable surrogate marker IR. Associations eGDR have not been explored. This study aimed to investigate associations progression. We used data from two prospective cohorts China Health Retirement Longitudinal Study (CHARLS) (HRS). was calculated follows: (mg/kg/min) = 21.158 − (0.09×waist circumference) (3.407×hypertension) (0.551×glycosylated hemoglobin A1c) [waist circumference (cm), hypertension (yes 1/no 0), glycosylated A1c (%)]. Participants were divided into three categories by tertiles eGDR. index (FI) every years assess degree which ranged 0 100. progression assessed repeated measurements FI during follow-up. Linear mixed-effect models analyze 8872 participants CHARLS (mean age: 58.9 years, female: 53.3%) 5864 HRS 67.0 59.0%) included. median follow-up periods 7.0 in 12.8 HRS, respectively. Compared lower tertile (T1) eGDR, those upper (T3) showed decelerated (CHARLS, β: -0.294, 95%CI -0.390 -0.198, P < 0.001; -0.378, -0.474 -0.281, 0.001). Continuous also for significant deceleration per 1 SD increase -0.142, -0.181 -0.103, -0.170, -0.209 -0.130, These still observed after excluding baseline frail participants. Furthermore, consistent among without diabetes. Regardless diabetes or not, higher level Our findings highlight role recommend taking effective interventions improve preventing CHARLS, Study; rate; FI, index.

Language: Английский

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Correction: Relationship between changes in the triglyceride glucose-body mass index and frail development trajectory and incidence in middle-aged and elderly individuals: a national cohort study

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

Published: Jan. 30, 2025

Language: Английский

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Determinants and risk prediction models for frailty among community-living older adults in eastern China

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: March 11, 2025

Objective The purpose of this study is to develop predictive models for frailty risk among community-dwelling older adults in eastern China using machine learning techniques. This approach aims facilitate early detection high-risk individuals and inform the design tailored interventions, with ultimate goals enhancing quality life mitigating progression adult population. Methods involved 1,263 participants aged 60 years or older, who were selected through stratified cluster sampling. Frailty was assessed Tilburg Indicator (TFI), which encompasses physical, psychological, social dimensions. Predictive constructed decision trees, random forests, XGBoost algorithms, implemented R software (version 4.4.2). performance these evaluated metrics such as area under receiver operating characteristic curve (AUC), ROC curves, confusion matrices. Results results showed that 64.77% physically weak. Body mass index (BMI), living arrangements, frequency visits smoking status are main factors contributing frailty. When comparing model metrics, forest extreme Gradient Lift (XGBoost) outperform tree terms accuracy applicability. Conclusion Older communities slight frailty, many influenced their scores. Random predicting adults, so identifying developing personalized interventions can help slow development improve adults.

Language: Английский

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Association between the triglyceride glucose-Chinese visceral adiposity index and new-onset stroke risk: a national cohort study

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

Published: March 12, 2025

Numerous studies have investigated the effect of an integrated index that combines triglyceride‒glucose (TyG) with various obesity indicators on stroke incidence. However, how to use TyG and Chinese Visceral Adiposity Index (CVAI) for prevention remains unclear. This study examined associations between dynamic changes in TyG-CVAI cumulative, baseline, new-onset risk. Data from 3,769 participants China Health Retirement Longitudinal Study(CHARLS) were analyzed, concentrating baseline TyG-CVAI, 2015, cumulative derived these. The fluctuations grouped into three clusters using K-means clustering analysis. Logistic regression models used examine relationship Restricted cubic splines (RCS) employed investigate potential nonlinear relationships while assessing predictive capability by receiver operating characteristic curve. During follow-up period, 181 experienced events. incidence rates Clusters 1, 2, 3 2.42%, 8.72%, 4.37%, respectively. After adjustment confounding factors, Cluster 2 high increasing (OR = 3.16, 95% CI 1.94–5.22), Q3 group 2.53, 1.60–4.02), 2.49, 1.57–3.95),which all correlated elevated risk stroke. RCS analysis disclosed a U-shaped TyG–CVAI are independently increased is anticipated be more efficient significant indicator evaluating early

Language: Английский

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Changes in remnant cholesterol and the incidence of diabetes: Results from two large prospective cohort studies

Diabetes Obesity and Metabolism, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

This study seeks to analyse the effect of change and accumulation residual cholesterol (RC) on risk diabetes. The analysis included 5124 participants from China Health Retirement Longitudinal Study (CHARLS) 2704 English Ageing (ELSA), all whom underwent two repeated RC measurements. Changes in were assessed through K-means clustering analysis, cumulative was determined using formula: by (RCfirst + RCsecond)/2 × (time interval between first second assessments). We employed Cox proportional hazards regression models changes development Individuals with consistently elevated levels (class 4) demonstrated a 1.98-fold increase diabetes 95% confidence (CI: 1.38-2.84) CHARLS 2.73-fold (95% CI: 1.69-4.38) ELSA study, compared those low 1). Similarly, increased 1.62 1.21-2.18) times 2.98 1.81-4.88) folds for highest relative lowest RC. Elevated remains substantial factor diabetes, irrespective LDL-C level. Long-term exposure high links an Therefore, maintaining optimal continuously monitoring them may contribute reducing incidence

Language: Английский

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Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation

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

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