The Naples prognostic score as a nutritional and inflammatory biomarkers of stroke prevalence and all-cause mortality: insights from NHANES DOI Creative Commons
Jin Zhao,

Xingfu Fan,

Xiaofang Li

et al.

Journal of Health Population and Nutrition, Journal Year: 2025, Volume and Issue: 44(1)

Published: March 25, 2025

Stroke is a complex neurological condition characterized by high rates of incidence, recurrence, disability, and mortality, making it one the leading causes death disability worldwide. The Naples prognostic score (NPS), an index that combines markers inflammation nutritional status, has demonstrated value in various diseases. This research investigated relationships among NPS, stroke prevalence, overall mortality individuals, drawing on data from National Health Nutrition Examination Survey 2007 to 2018. cross-sectional analysis included 20,798 participants aged beyond 40 years with 1155 persons analyzed for mortality. prevalence was self-reported, NPS derived serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio (Galizia et al. Cancer 60:1273–1284, 2017). Weighted Logistic regression Cox models assessed associations stroke, adjusting demographic clinical factors. Higher scores were linked increased (OR 3.573, 95% CI 2.745–4.652, P < 0.001) elevated all-cause risk (HR 3.281, 1.978–5.442, individuals. triglyceride-glucose (TYG) significantly modified relationship between prevalence. study supports utility as predictor both may serve valuable tool stratification prevention long-term prognosis.

Language: Английский

Comparative study on the predictive value of TG/HDL-C, TyG and TyG-BMI indices for 5-year mortality in critically ill patients with chronic heart failure: a retrospective study DOI Creative Commons

Zijing Zhou,

Qiang Liu,

Min Zheng

et al.

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

Published: June 20, 2024

Abstract Background The triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), and triglyceride-density lipoprotein cholesterol ratio (TG/HDL-C) are substitute indicators for insulin resistance (IR). This study aimed to compare the predictive value of these 5-year mortality in critically ill patients with chronic heart failure (CHF). Methods Critically CHF were identified from Multiparameter Intelligent Monitoring Intensive Care (MIMIC) III IV databases. primary outcome was mortality. relationship between three indices risk determined using multivariate Cox proportional hazards models, Kaplan–Meier (K‒M) analysis restricted cubic splines analysis. A receiver operating characteristic (ROC) curve generated ability predict Finally, whether IR would further increase basic model including baseline variables a significance level survivors non-survivors evaluated by ROC curve. Results Altogether, 1329 models indicated that TyG independently associated an elevated (hazard [HR], 1.56; 95% confidence interval [CI] 1.29–1.9), while TyG-BMI TG/HDL-C significantly mortality, HR (95% CI) 1.002 (1.000–1.003) 1.01 (1.00–1.03), respectively. K–M revealed cumulative incidence all-cause death increased increasing quartiles or ratio. According curve, outperformed at predicting (0.608 [0.571–0.645] vs. 0.558 [0.522–0.594] 0.561 [0.524–0.598]). effect on consistent across subgroups, no significant interaction randomized factors. Furthermore, adding improved its (area under 0.762 0.769 + index); however, difference not statistically significant. Conclusion As continuous variables, all CHF. Although did improve power CHF, appears be most promising (vs. ratio) prevention stratification

Language: Английский

Citations

31

Association between insulin resistance and uncontrolled hypertension and arterial stiffness among US adults: a population-based study DOI Creative Commons
Liao Tan, Yubo Liu, Jie Liu

et al.

Cardiovascular Diabetology, Journal Year: 2023, Volume and Issue: 22(1)

Published: Nov. 9, 2023

Prior research has established the correlation between insulin resistance (IR) and hypertension. While association triglyceride-glucose (TyG) index, a reliable surrogate marker of IR, uncontrolled hypertension as well arterial stiffness among individuals with remains undisclosed.In this study, total 8513 adults diagnosed from National Health Nutrition Examination Survey 1999-2018 were included. The primary outcome study are (represented estimated pulse wave velocity, ePWV) Logistic regression model, subgroup analysis, restricted cubic spine, smooth curve fitting conducted to evaluate IR indicators in hypertension.Among included participants, overall prevalence was 54.3%. After adjusting for all potential covariates, compared first quartile TyG risk increased about 28% 49% participants third (OR, 1.28; 95% CI 1.06-1.52) fourth 1.49; 1.21-1.89) respectively. higher OR index observed taking antihypertensive medication [fourth versus 2.03; 1.37-3.11)]. Meanwhile, we explored found that significantly associated (β ePWV, 0.04; 0.00-0.08; P = 0.039). However, traditional indicator HOMA-IR showed no significant positive US hypertension.Elevated levels

Language: Английский

Citations

39

Investigation of the connection between triglyceride-glucose (TyG) index and the risk of acute kidney injury in septic patients - a retrospective analysis utilizing the MIMIC-IV database DOI Creative Commons

Pirun Zhang,

Wei Zhang, Han Yan

et al.

Renal Failure, Journal Year: 2025, Volume and Issue: 47(1)

Published: Jan. 6, 2025

The TyG index serves as a valuable tool for evaluating insulin resistance. An elevated has shown strong association with the occurrence of acute kidney injury (AKI). Nevertheless, existing literature does not address relationship between and in patients sepsis. Sepsis were identified from MIMIC-IV database categorized into four groups according to quadrilles their values. primary outcome this study was incidence AKI. risk AKI septic evaluated using Cox proportional hazards restricted cubic spline models. Subgroup analyses conducted investigate prognostic value different subgroups. A total 2,616 sepsis (57% whom male) included study. found be 78%. analysis revealed significant correlation patients. Furthermore, model an approximately linear higher trend hazard ratio (HR) remained consistent across various These findings emphasize reliability independent predictor unfavorable renal outcomes establishing causal two requires demonstration through larger prospective studies.

Language: Английский

Citations

1

Association of different insulin resistance surrogates with all-cause and cardiovascular mortality among the population with cardiometabolic multimorbidity DOI Creative Commons
Hongqiang Zhang, Zhixin Tu,

Si-hua Liu

et al.

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

Published: Jan. 22, 2025

Language: Английский

Citations

1

The TyG Index Correlation with Invasive Ventilator in Critically ill Patients: A Retrospective Analysis of the MIMIC-IV Database DOI
Jie Hu, Jie Min, Dan Zong

et al.

The American Journal of the Medical Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

1

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 DOI Creative Commons
Kai Guo, Qi Wang, Lin Zhang

et al.

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

Published: Aug. 16, 2024

Insulin resistance is linked to an increased risk of frailty, yet the comprehensive relationship between triglyceride glucose-body mass index (TyG-BMI), which reflects weight, and remains unclear. This investigated in this study. Data from 9135 participants China Health Retirement Longitudinal Study (2011–2020) were analysed. Baseline TyG-BMI, changes TyG-BMI cumulative baseline 2015, along with frailty (FI) over nine years, calculated. Participants grouped into different categories based on using K-means clustering. FI trajectories assessed a group-based trajectory model. Logistic Cox regression models used analyse associations frail incidence. Nonlinear relationships explored restricted cubic splines, linear mixed-effects model was evaluate development speed. Weighted quantile identify primary contributing factors. Four classes two identified. Individuals third (OR = 1.25, 95% CI: 1.10–1.42) fourth 1.83, 1.61–2.09) quartiles those consistently second highest 1.49, 1.32–1.70) 2.17, 1.84–2.56) changes, 1.20, 1.05–1.36) 1.94, 1.70–2.22) had greater odds experiencing rapid trajectory. Higher noted quartile (HR 1.42, 1.28–1.58), 1.23, 1.12–1.34) 1.58, 1.42–1.77), 1.10, 1.00-1.21) 1.46, 1.33–1.60). persistently second-lowest (β 0.15, 0.38 0.76 respectively) 0.25 0.56, demonstrated accelerated progression. A U-shaped association observed levels both higher risk, BMI being factor. associated risk. However, excessively low also appear contribute development. Maintaining healthy especially BMI, may help prevent or delay onset.

Language: Английский

Citations

8

The interaction between triglyceride-glucose index and visceral adiposity in cardiovascular disease risk: findings from a nationwide Chinese cohort DOI Creative Commons

Yuhao Yang,

Shengxi Li, Qiao Ren

et al.

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

Published: Nov. 27, 2024

Globally, cardiovascular disease (CVD) constitutes the primary cause of death, with insulin resistance (IR), measured by triglyceride-glucose (TyG) index, and visceral obesity, reflected Chinese Visceral Adiposity Index (CVAI), as key contributors. However, relationship between TyG index CVAI regarding CVD risk remains insufficiently understood. This research investigates interactive impact on disease. We analyzed data from 8,358 participants China Health Retirement Longitudinal Study (CHARLS) over a 9-year follow-up period. Participants were classified into four groups based median (8.59) values (101.26), baseline characteristics summarized. Missing addressed using multiple imputation chained equations (MICE). Cox proportional hazards models assessed associations CVAI, CVD, coronary heart (CHD), stroke risks, Kaplan-Meier analysis used for cumulative hazard. Interaction effects evaluated both multiplicative additive measures. Subgroup analyses age, gender, clinical conditions conducted to explore interaction across different populations. Sensitivity re-tested models, excluding covariates BMI diabetes, tertiles classification, re-evaluating imputed data. Over follow-up, 1,240 (14.8%) developed including 896 cases CHD 475 strokes. curves indicated that low but high had highest hazard CVD. regression showed this group (HR = 1.87, 95% CI: 1.57–2.24), followed those 1.75, 1.49–2.06). revealed negative effect no significant stroke. sensitivity further confirmed these findings, showing consistent results demographic under various analytical conditions. study suggests IR (TyG index) fat accumulation (CVAI) plays complex role in risk, potential antagonistic observed events. These findings highlight importance considering adiposity assessments improve identification high-risk individuals.

Language: Английский

Citations

8

Association between the triglyceride glucose index and the risk of acute kidney injury in critically ill patients with hypertension: analysis of the MIMIC-IV database DOI Creative Commons
Wenbin Zhang,

Zewen Yang

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: July 12, 2024

Background The triglyceride glucose (TyG) index, a metric computed from the levels of fasting (TG) and plasma (FPG), has emerged as simple surrogate measure for insulin resistance (IR) in recent years. In multiple critical care scenarios, such contrast-induced acute kidney injury (AKI) cardiorenal syndrome, high TyG index shows notable correlation with AKI incidence. However, its predictive value critically ill hypertensive patients remains uncertain. Methods Participants were selected Medical Information Mart Intensive Care IV (MIMIC-IV) database divided into quartiles based on index. primary focus study was to investigate risk (AKI), in-hospital mortality secondary endpoint, assessed among all subjects well specifically patients. use renal replacement therapy (RRT), indicative progression, also considered endpoint reflecting outcomes. To explore between patients, employed restricted cubic splines model Cox proportional hazards (CPH) models. Additionally, Kaplan-Meier survival analysis utilized assess differences outcomes across groups categorized by their Analyses conducted ensure consistency capability various subgroups. Results Our included 4,418 participants, 57% being male occurred 56.1% cases. Through CPH analysis, we identified significant association occurrence With help model, observed direct relationship an elevated increased AKI. Subgroup examinations consistently proved categories. Furthermore, revealed RRT Conclusion findings underscore importance reliable predictor adverse states. Nevertheless, validating causality mandates extensive prospective investigations.

Language: Английский

Citations

5

Association of triglyceride glucose index with the risk of acute kidney injury in patients with coronary revascularization: a cohort study DOI Creative Commons
Yue Shi,

Hangyu Duan,

Jing Liu

et al.

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

Published: May 28, 2024

The triglyceride glucose (TyG) index is a novel and reliable alternative marker for insulin resistance. Previous studies have shown that TyG closely associated with cardiovascular outcomes in diseases coronary revascularization. However, the relationship between renal of revascularization unclear. purpose this study was to investigate correlation risk acute kidney injury (AKI) patients A retrospective cohort conducted select eligible admitted ICU medical information mart intensive care IV (MIMIC-IV). According quartile, these were divided into four groups (Q1-Q4). primary endpoint incidence AKI, secondary endpoints included 28-day mortality rate replacement therapy (RRT) use AKI population. Multivariate Cox regression analysis restricted cubic splines (RCS) used analyze association risk. Kaplan-Meier survival performed assess groups. In study, 790 who underwent surgery included, 30.13%. showed high had significantly increased (Log-rank P = 0.0045). whether continuous variable (HR 1.42, 95% CI 1.06-1.92, 0.018) or categorical (Q4: HR 1.89, 1.12-3.17, 0.017), there an independent RCS curve linear higher particular population (P 0.078). addition, RRT application subset based on quartiles 0.029). adverse This finding suggests may be useful identifying people at poor

Language: Английский

Citations

4

Association between the triglyceride glucose index and acute kidney injury following traumatic brain injury DOI Creative Commons

Rujun Pan,

Shaojie Li,

Baofang Wu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 2, 2025

Acute kidney injury (AKI) is associated with adverse hospitalization. Previous studies have reported that an elevated triglyceride glucose (TyG) index significantly the development of AKI in patients cardiovascular disease, as well those undergoing surgery; however, potential TyG to predict following neurotrauma remains unclear. Patients diagnosed traumatic brain (TBI) Chinese tertiary hospitals between January 2014 and December 2023 were included this retrospective study. The outcome was incidence AKI. identified independent risk factor for using logistic regression propensity score matching (PSM). Finally, association further assessed multivariate regression, restricted cubic spline (RCS) subgroup analysis. present study enrolled 1,505 TBI, whom 66.45% male, average age 55.47 ± 17.32 years. 9.4%. Multiple analyses a relationship levels risk. This retained after PSM. A significant positive correlation level observed all three models constructed regression. RCS indicated linear increase increasing index. In analyses, remained stable majority population but could be influenced by sex. positively correlated TBI. As predictive biomarker, enables effective stratification customization management protocols mitigate these patients, thus enhancing clinical outcomes.

Language: Английский

Citations

0