Triglyceride-glucose index and prognosis in non-diabetic critically ill patients: data from the eICU database DOI Creative Commons
Xi Li,

Qiujin Lin,

Dewen Zhang

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: April 8, 2025

The triglyceride-glucose (TyG) index is a marker for insulin resistance (IR) linked to diabetes complications and poor outcomes. Its connection all-cause mortality in non-diabetic critically ill patients unknown. This study aims investigate the TyG index's impact on this population, evaluating how IR affects their prognosis. retrospective observational research utilizing data from eICU Collaborative Research Database. A total of 14,089 were included categorized into three groups based measured first day admission (T1, T2, T3). Kaplan-Meier survival analysis was performed compare 28-day rates among different groups. Cox proportional hazards models used assess relationship between mortality. Additionally, we conducted sensitivity analyses, subgroup interaction analyses robustness results. During observation period, 730 (5.18%) died ICU, while 1,178 (8.36%) hospital. ICU rate hospital significantly increased with higher values (P < 0.001). Specifically, Furthermore, showed nonlinear effect patients, critical point at 9.94. While Below 9.94, rose values. But above didn't increase despite further rises index. Sensitivity confirmed these results, E-value indicated strong unmeasured confounding factors. demonstrates significant positive correlation exhibiting relationship. Consequently, serves as crucial tool identifying high-risk thereby assisting clinicians formulating more effective monitoring intervention strategies.

Language: Английский

Association between triglyceride-glucose related indices with the all-cause and cause-specific mortality among the population with metabolic syndrome DOI Creative Commons
Xiaoyuan Wei, Min Yu, Song Ge

et al.

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

Published: April 24, 2024

Abstract Background Triglyceride-glucose (TyG) index has been determined to play a role in the onset of metabolic syndrome (MetS). Whether TyG and with combination obesity indicators are associated clinical outcomes MetS population remains unknown. Method Participants were extracted from multiple cycles National Health Nutrition Examination Survey (NHANES) between 1999 2018 years. Three constructed including index, combining waist circumference (TyG-WC), waist-to-height ratio (TyG-WHtR). The was defined according Cholesterol Education Program (NCPE) Adult Treatment Panel III. Kaplan-Meier (KM) curves, restricted cubic splines (RCS), Cox proportional hazard model used evaluate associations TyG-related indices mortality population. sensitive analyses performed check robustness main findings. Results There 10,734 participants included this study, 5,570 females 5,164 males. median age study 59 years old. multivariate regression showed high levels significantly all-cause [TyG index: adjusted (aHR): 1.36, 95%confidence interval (CI): 1.18–1.56, p < 0.001; TyG-WHtR aHR = 1.29, 95%CI: 1.13–1.47, 0.001]. Meanwhile, TyG-WC cardiovascular (TyG-WC: 1.45, 1.13–1.85, 0.004; TyG-WHtR: 1.50 1.17–1.92, 0.002). consistent significant correlations diabetes (TyG: 4.06, 2.81–5.87, TyG-WC: 2.55, 1.82–3.58, 2.53 1.81–3.54, 0.001). RCS curves non-linear trend (p for nonlinearity 0.004 0.001, respectively). supported positive Conclusion Our highlights value predicting survival would be surrogate biomarkers follow-up

Language: Английский

Citations

50

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

2

Association of TyG index with mortality at 28 days in sepsis patients in intensive care from MIMIC IV database DOI Creative Commons
Heping Xu,

Jinyuan Xie,

Yan Xia

et al.

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

Published: Jan. 17, 2025

The relationship between the triglyceride‒glucose (TyG) index and clinical prognosis of septic patients in intensive care units (ICUs) remains unclear. This study aimed to explore correlation TyG 28-day all-cause mortality patients. A retrospective observational cohort was conducted, including 8955 from MIMIC IV 2.2 database. primary outcome mortality. Multivariate logistic regression analysis restricted cubic spline were used assess Subgroup analyses sensitivity performed further validate robustness results. total included, 5219 (58.3%) whom male, with a mean age 66.3 (15.8) years an average 9.08 (0.70) number deaths within 28 days 1639 (18.3%). RCS curve demonstrated U-shaped (nonlinear P value = 0.0003). risk negatively associated until it decreased 9.03 (adjusted odds ratio [OR] 0.727, 95% confidence interval [CI] 0.577–0.915). However, when exceeded 9.03, for significantly increased OR 1.185, CI 1.001–1.404). These findings consistent across subgroups various analyses. Our revealed nonlinear mortality, critical point at 9.03. results suggest that may be novel important factor short-term critically ill

Language: Английский

Citations

1

Association of the triglyceride glucose index with all cause and CVD mortality in the adults with diabetes aged < 65 years without cardiovascular disease DOI Creative Commons
Chang Liu, Dan Liang, Guoan Xiang

et al.

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

Published: Jan. 22, 2025

Although the triglyceride-glucose (TyG) index has been established as a valuable predictor for cardiovascular disease (CVD) and mortality, there is limited research exploring its association with all-cause or CVD mortality specifically in adults diabetes aged < 65 years without disease. This study aimed to investigate relationship between TyG both this population within United States. Our recruited 1778 from National Health Nutrition Examination Survey (NHANES) 2003–2018. Mortality outcomes were determined by linking Death Index (NDI) records up December 31, 2019. Cox regression modeling was employed examine population. The nonlinear assessed using restricted cubic splines (RCS). Additionally, subgroup analyses interaction tests conducted explore potential effect modifiers. A total of 1788 participants included final cohort, an average age 49.61 ± 0.32 years. During median follow-up 7.92 years, occurrence 150 deaths 33 CVD-related recorded. To independent risks three models developed. In Model 1, significant positive observed risk (HR 1.38, 95% CI 1.09–1.74). persisted minimally adjusted model 1.44, 1.13–1.83), which age, gender race. Even after full adjustment, remained 1.91, 1.36–2.70). We also found that linear. Subgroup revealed no interactions stratification variables. However, we did not observe results suggested significantly mortality.

Language: Английский

Citations

1

Joint association of TyG index and LDL-C with all-cause and cardiovascular mortality among patients with cardio-renal-metabolic disease DOI Creative Commons

Wenguang Lai,

Yucui Lin,

Zhiyong Gao

et al.

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

Published: Feb. 18, 2025

Both triglyceride-glucose (TyG) index, as a surrogate marker of insulin resistance, and low-density lipoprotein cholesterol (LDL-C) are independent risk factors for long-term prognosis among patients with cardio-renal-metabolic (CRM) disease. However, the co-exposures TyG index LDL-C to mortality is unclear. The aim this study investigate joint effects stratification on all-cause cardiovascular in CRM patients. We analyzed from National Health Nutrition Examination Survey (NHANES) database (1999–2018), calculating Ln[fasting triglyceride (mg/dL)×fasting glucose (mg/dL)/2] using multivariable Cox regression models assess mortality. interaction between was also evaluated. During median follow-up 7.6 years, 22.8% 8.4% died causes, respectively. Among < 2.6 mmol/L, no significant differences were observed when comparing higher lowest tertile (T1). Specifically, hazard ratio (HR) second (T2) third tertiles (T3) 0.81 (95% confidence interval(CI): 0.59–1.09) 0.87 (95%CI: 0.62–1.22), respectively, P trend 0.468. For mortality, HR T2 T3 compared T1 0.80 0.48–1.32) 0.72 0.45–1.15), 0.173. elevated related markedly increased ≥ mmol/L. 1.01 0.79–1.28) 1.38 1.07–1.79), 0.009. 1.09 CI: 0.72–1.65) 1.80 1.18–2.75) T3, 0.005. Interactive analysis demonstrated that association (P = 0.011) 0.050) observed. findings highlight can significantly increase only but not

Language: Английский

Citations

1

Triglyceride–glucose index and the risk of in-hospital and ICU all-cause mortality: a systematic review and meta-analysis of observational studies DOI Creative Commons
Elham Sharifi‐Zahabi,

Nooshin Nasiri,

Fatemeh Hajizadeh‐Sharafabad

et al.

Nutrition and Diabetes, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 22, 2025

Several studies have illustrated the association of triglyceride glucose (TyG) index with in-hospital and intensive care unit (ICU) mortality. However, no compiled this evidence reached a conclusion. This study aimed to quantify TYG risk ICU An extensive search databases including PubMed, Scopus, Web Science, was performed up 21 Jan 2024. Nineteen were included in meta-analysis. The outcomes mortality 18 8 studies. Among 42,525 participants, 5233 1754 cases reported. pooled analysis revealed that each increase associated 33% 45% (RR = 1.33; 95% CI: 1.23, 1.43; I squared 90.3%) (RR: 1.45; 1.25, 1.67; 44.8%) mortality, respectively. Subgroup stronger between patients cardiovascular diseases than those cerebrovascular (Pheterogeneity Groups 0.014). findings showed positive TyG (PROSPERO registration ID: CRD420245414390).

Language: Английский

Citations

1

The triglyceride-glucose index: a novel predictor of stroke and all-cause mortality in liver transplantation recipients DOI Creative Commons
Zhendong Ding, Mian Ge,

Yuexiang Tan

et al.

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

Published: Jan. 13, 2024

Abstract Background The triglyceride-glucose (TyG) index, identified as a reliable indicator of insulin resistance (IR), was reported to be associated with stroke recurrence and morbidity in the general population critically ill patients. However, relationship liver transplantation (LT) recipients remains unknown. This study aimed investigate correlation between TyG index post-LT along all-cause mortality further assess influence IR on LT recipients’ prognosis. Methods retrospective cohort enrolled 959 patients who underwent at university-based medical centre January 2015 2021. participants were divided into three groups according their tertiles. primary outcome stroke. Multivariate logistic regression, COX proportional hazards restricted cubic spline RCS used examine association outcomes recipients. Results With median 8.23 (7.78–8.72), 780 (87.18% males) eventually included. incidence 5.38%, in-hospital, 1-year, 3-year rates 5.54%, 13.21%, 15.77%, respectively. regression analysis showed an independent increased risk [adjusted odds ratio (aOR), 3.398 (95% confidence interval [CI]: 1.371–8.426) P = 0. 008], in-hospital hazard (aHR), 2.326 CI: 1.089–4.931) 0.025], 1-year [aHR, 1.668 1.024–2.717) 0.039], 1.837 1.445–2.950) 0.012]. Additional also suggested linear increase postoperative elevated ( for nonlinearity 0.480). Conclusions may valuable assessing undergoing LT, suggesting its potential relevance improving stratification during peri-LT period.

Language: Английский

Citations

5

A retrospective study utilized MIMIC-IV database to explore the potential association between triglyceride-glucose index and mortality in critically ill patients with sepsis DOI Creative Commons
Jiaqi Lou,

Ziyi Xiang,

Xiaoyu Zhu

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 15, 2024

Triglyceride-glucose (TyG) index has emerged as a novel biomarker for detecting insulin resistance (IR) and been proven to be associated with various diseases. However, its correlation the prognosis of severe sepsis remains unraveled. This retrospective cohort study utilized patient records from Medical Information Mart Intensive Care (MIMIC-IV, version 2.2) examine outcomes patients sepsis. The primary were hospital mortality intensive care unit (ICU) mortality. between TyG was evaluated through Kaplan-Meier method, Log-rank test, univariate multivariate Cox regression analyses. Additionally, restricted cubic spline (RCS) analysis employed delve into nonlinear relationship baseline outcomes, trend significance assessed quartile levels. Subgroup analyses conducted evaluate consistency index's prognostic value across influencing factors. included 1,742 requiring care. in-hospital rate 19.75% (344/1,742), ICU 14.75% (257/1,742). revealed that, in comparison first (Q1), fourth (Q4) had 63% higher risk (HR 1.63 [95% CI 1.22 2.18], P < 0.01) 79% 1.79 1.28 2.51], 0.001). Model 3 showed that risks Q4, Q3, Q2 240%, 75%, 33% higher, respectively 3.40 2.24 5.16], 0.001; HR 1.75 1.16 2.63], = 0.007; 1.33 1.20 1.53], RCS identified association (overall nonlinearity 0.001, an inflection point at 8.9). effect size direction consistent different subgroups, suggesting stability results. demonstrates is significantly increased critically ill patients, evidence non-linear correlation. Therefore, helps identify ICU.

Language: Английский

Citations

4

Nomogram and randomized survival forest model for predicting sepsis risk in patients with cerebral infarction in the intensive care unit DOI
Haofuzi Zhang,

Kangyi Yue,

Yutong Wang

et al.

Diagnostic Microbiology and Infectious Disease, Journal Year: 2025, Volume and Issue: 111(3), P. 116678 - 116678

Published: Jan. 6, 2025

Language: Английский

Citations

0

Association between Advanced lung cancer inflammation index and all- cause mortality in critically ill patients with sepsis: analysis of the MIMIC- IV database DOI Creative Commons
Lei Zhang, Mingcai Li, Jianfei Liu

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Abstract Background This study aimed to explore the association between advanced lung cancer inflammation (ALI) index and risk of mortality in critically ill patients with sepsis. Methods retrospective included 6489 sepsis from Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. The participants were grouped into four groups according ALI quartiles. outcome was in-hospital ICU mortality. Cox proportional hazards regression analysis restricted cubic spline used evaluate clinical outcomes Results A total (59.1% male) study. intensive care unit (ICU) 25.4% 19.0%, respectively. Multivariate showed that independently associated all-cause After confounders adjusting, an elevated had a significant hospital (adjusted hazard ratio, 0.990; 95% confidence interval, 0.985–0.996; P < 0.001) 0.991; 0.985–0.997; = 0.004). Restricted splines revealed non-linear patients. Conclusion Our indicates has However, further confirmation these findings necessitates larger prospective studies.

Language: Английский

Citations

0