PubMed, Journal Year: 2025, Volume and Issue: 25(1), P. 277 - 277
Published: April 11, 2025
Language: Английский
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
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
Biomolecules and Biomedicine, Journal Year: 2024, Volume and Issue: unknown
Published: July 7, 2024
The triglyceride-glucose index (TyGI) is a novel indicator of insulin resistance, which has been associated with an increased risk cardiovascular diseases. aim this meta-analysis was to determine the association between TyGI and prognosis patients heart failure (HF). Cohort studies relevant were retrieved by searching electronic databases, including PubMed, Web Science, Embase. A random-effects model used combine data, incorporating influence between-study heterogeneity. Twelve involving 20,639 HF included. Pooled results showed that compared lowest category at baseline, those highest higher all-cause mortality during follow-up (relative [RR] 1.71, 95% confidence interval [CI] 1.46 - 2.00; P < 0.001; I² = 55%). Sensitivity analyses limited after adjustment for confounding factors similar (RR 1.89, CI 1.67 2.21; 13%). Subsequent meta-analyses also high baseline related incidence death 1.87, 1.42 2.47; 57%), rehospitalization 1.33, 1.04 1.69; 0.02; 46%), major adverse events 1.69, 1.39 2.06; 17%) follow-up. In conclusion, may be poor clinical HF.
Language: Английский
Citations
4
Advances in Clinical Medicine, Journal Year: 2025, Volume and Issue: 15(01), P. 1232 - 1236
Published: Jan. 1, 2025
Language: Английский
Citations
0
Journal of Intensive Care, Journal Year: 2025, Volume and Issue: 13(1)
Published: Feb. 5, 2025
Abstract Background The triglyceride–glucose (TyG) index is increasingly recognized for its ability to predict cardiovascular and metabolic risks. This study investigated the correlation between TyG risk of acute kidney injury(AKI) in critical ill patients with pancreatitis(AP). Methods Medical Information Mart Intensive Care IV database was retrospectively searched identify AP hospitalized intensive care unit. primary outcome measure incidence AKI. secondary endpoint in-hospital mortality rate renal replacement therapy(RRT) use. Cox regression analysis restricted cubic spline were used analyze association AKI risk. Kaplan–Meier survival performed assess endpoints different groups. Results A total 848 enrolled. 61.56%.The 11.69%. showed that ≥ 8.78 group has a high requiring RRT ( P < 0.001). Multivariable whether continuous variable (HR, 1.65 [95% CI 1.10–2.48], = 0.015) or categorical 1.72 1.09–2.79], 0.028), independently associated patients. splines model illustrated linear relationship higher increased this specific patient population. Conclusions High an independent factor AP. Assessing may be beneficial early stratification interventions improve prognosis.
Language: Английский
Citations
0
Renal Failure, Journal Year: 2025, Volume and Issue: 47(1)
Published: Feb. 19, 2025
The triglyceride-glucose (TyG) index, proven a reliable and simple surrogate of insulin resistance, has shown potential associations with cardiovascular outcomes renal diseases. This research delved into the utility TyG index in predicting risk acute kidney injury (AKI) patients coronary artery disease (CAD), an area not extensively covered existing literature. A cohort CAD was recruited from Medical Information Mart for Intensive Care-IV database, categorized quartiles based on their index. primary outcome AKI incidence, secondary replacement therapy (RRT). Scatterplot histograms, cox proportional hazards models, Kaplan-Meier survival curves, restricted cubic splines were employed to investigate association between CAD. total 1,501 enrolled this study, predominantly male (61.56%), median age 69.80 years. incidence 67.22% among all patients, stages increased higher levels (P trend <0.001). analyses demonstrated statistically significant differences RRT application throughout entire cohort, stratified by (p < 0.001). Additionally, spline analysis revealed non-linear =0.637). Both multivariate Cox (HR 1.62; 95% CI 1.15-2.27; p = 0.005) logistic regression (OR 2.16; 1.18-3.94; 0.012) showed that elevated significantly related incidence. is more without diabetes 1.27; 1.14-1.42; 0.001), compared interaction =0.013). In summary, emerged as predictor occurrence during ICU stay. Furthermore, it also anticipated serve valuable indicator non-diabetic AKI.
Language: Английский
Citations
0
Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16
Published: Feb. 25, 2025
This study aimed to evaluate the predictive capability of glycolipid metabolism index (triglyceride-glucose index, TyG; atherogenic plasma, AIP; triglyceride high-density lipoprotein cholesterol ratio, TG/HDL-C; and non-HDL-C HDL-C NHHR) for complications ventilator use in patients with intracerebral hemorrhage (ICH) admitted intensive care unit (ICU). Patients ICH requiring ICU admission were selected from Medical Information Mart Intensive Care IV (MIMIC-IV) database. Outcomes assessed included incidence support. Multivariate logistic regression, receiver operating characteristic (ROC) analysis, restricted cubic spline employed investigate relationship between clinical outcomes patients. A total 733 included. regression analysis revealed that elevated TyG, AIP, TG/HDL-C levels associated increased prolonged use. ROC curve demonstrated TyG (AUC 0.646) exhibited strongest ability multiple Further identified as an independent predictor deep vein thrombosis, while independently predicted pulmonary embolism, NHHR, acute kidney injury. Moreover, further heightened risk index. Glycolipid represent promising readily accessible biomarkers predicting ICH.
Language: Английский
Citations
0
Nursing in Critical Care, Journal Year: 2025, Volume and Issue: 30(2)
Published: Feb. 26, 2025
Abstract Background Sepsis, a grave systemic infection, presents substantial health challenges. While insulin resistance frequently occurs in sepsis conditions, its relationship with sepsis‐associated delirium remains insufficiently explored. Aim This study aimed to explore the causal effect between triglyceride glucose (TyG) index and risk of patients through use inference. Study Design A cohort 5461 admitted intensive care unit (ICU) was selected from Medical Information Mart for Intensive Care IV database. Patients were grouped into high TyG (≥9.48) low (<9.48) categories. Propensity score matching applied control confounders, average treatment on treated calculated. Results Of patients, 59.6% experienced delirium. The incidence higher group (1751 patients; 66.6%) than (56.3%) ( p < .001). results logistic regression analysis indicated that significantly (adjusted odds ratio 1.34, 95% confidence interval: 1.16–1.53). Following matching, increased by 6.9% T = 3.29), finding confirmed Rosenbaum sensitivity analysis. Conclusions represents straightforward efficacious instrument nursing staff ascertain likelihood during routine monitoring their condition. ability make inferences observational studies provides novel approach research. Relevance Clinical Practice readily applicable ICU nurses identify patients. enables possibility early intervention high‐risk individuals optimization outcomes.
Language: Английский
Citations
0
International Journal of Medical Sciences, Journal Year: 2025, Volume and Issue: 22(7), P. 1528 - 1541
Published: Feb. 26, 2025
Background: This study aimed to investigate the association between triglyceride-glucose (TyG) index and prognosis in critically ill patients with acute coronary syndrome (ACS), exploring potential heterogeneity of among patient subgroups different characteristics. Methods: Records ACS were extracted from MIMIC-IV database. The TyG mortality was analyzed using Cox proportional-hazard regression model, while non-linear associations assessed restricted cubic spline (RCS) regression. Meanwhile, linear model used explore length stay hospital or ICU. Subpopulation Treatment Effect Pattern Plot (STEPP) utilized heterogeneous subgroups. Time-dependent Receiver Operating Characteristic (ROC) curve analyses performed compare predictive ability models (with without index). Results: A total 849 enrolled. Multivariate demonstrated that significantly associated 28-day (HR:2.13 [95%CI: 1.23-3.68], P<0.01) 365-day (HR:1.65 1.11-2.47], P<0.01). RCS revealed an inverted U-shaped (P for non-linearity=0.027) a non-linearity =0.086). There specified by age interaction=0.04) interaction<0.01), cut-off point 70 years old obtained STEPP. higher risk aged ≤ old. ROC suggested could slightly improve prediction mortality. longer time (β: 1.79 0.06-3.52], P=0.04). Conclusions: is both short-term long-term all-cause ACS, especially hospital. may serve as useful prognostic marker management strategic decision-making clinical settings.
Language: Английский
Citations
0
BMC Cardiovascular Disorders, Journal Year: 2025, Volume and Issue: 25(1)
Published: March 21, 2025
Acute kidney injury (AKI) is a common and serious complication after coronary artery bypass grafting (CABG), significantly affecting patient outcomes. The triglyceride-glucose (TyG) index, marker of insulin resistance, has shown potential in predicting various metabolic cardiovascular conditions. This study aimed to evaluate the predictive value TyG index for AKI occurrence following CABG. retrospective, single-center included 3,260 patients who underwent Patients were categorized into non-AKI groups based on postoperative renal function. preoperative was calculated from fasting blood glucose triglyceride levels. further divided quartiles index. Logistic regression analysis used assess relationship between risk. Subgroup analyses spline employed explore interactions non-linear relationships. Of patients, 514 (15.8%) developed AKI. Baseline characteristics showed that had higher levels hemoglobin (Hb), alanine aminotransferase (ALT), aspartate (AST), triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL-C), low-density (LDL-C), glucose, while brain natriuretic peptide (BNP) lower compared patients. confirmed an independent risk factor CABG, both as continuous variable (OR 1.034 [95% CI 1.017–1.050], p < 0.001) when grouped by quartiles. A observed, with significant increase exceeded 5.4. revealed this association consistent across multiple groups, including those stratified age, sex, BMI, extracorporeal circulation use, comorbidities such hypertension, diabetes, hyperlipidemia. predictor dose-response observed subgroups. Monitoring can help identify high-risk potentially guiding early intervention improving These findings underscore valuable tool clinical practice, warranting validation prospective studies.
Language: Английский
Citations
0