High Triglyceride Glucose Index Is Associated with Poor Outcomes in Ischemic Stroke Patients after Reperfusion Therapy

Triglyceride-glucose index and prognosis in individuals afflicted with heart failure and chronic kidney disease

BACKGROUND

The triglyceride-glucose (TyG) index has demonstrated correlations with adverse clinical outcomes in patients with ischaemic stroke, coronary heart disease and cardiac failure. However, its association with overall mortality in individuals concurrently experiencing heart failure (HF) and chronic kidney disease (CKD) remains inadequately explored.

METHODS

Utilizing the Medical Information Mart for Intensive Care IV (Version 2.2) repository, subjects underwent quartile stratification based on the TyG index. The primary endpoint was all-cause mortality during hospitalization. Cox proportional hazard models were employed to examine the correlation between TyG and all-cause mortality in HF patients with CKD. Evaluation involved Kaplan-Meier (KM) analysis and restricted cubic splines (RCSs) to compare mortality rates during hospitalization and 1 year after admission across cohorts with varying TyG index levels.

RESULTS

A cohort of 1537 HF and CKD patients participated. Cox regression analysis revealed elevated TyG levels as an independent risk factor for both in-hospital and 1 year mortality. RCS analysis indicated a rising, non-linear association between TyG levels and all-cause mortality (P value for non-linear <0.001). KM survival curves demonstrated a statistically significant reduction in survival rates within the high TyG index group compared with the low one (log-rank P < 0.001).

CONCLUSIONS

The TyG index exhibited substantial independent prognostic value for elevated in-hospital and 1 year all-cause mortality among the cohort with HF and CKD. These findings suggest that assessing the TyG index could play a crucial role in developing novel therapeutic strategies to improve outcomes for this high-risk demographic.

Triglyceride-glucose index as a potential predictor for in-hospital mortality in critically ill patients with intracerebral hemorrhage: a multicenter, case-control study

BACKGROUND

The correlation between the triglyceride-glucose index (TyG) and the prognosis of ischemic stroke has been well established. This study aims to assess the influence of the TyG index on the clinical outcomes of critically ill individuals suffering from intracerebral hemorrhage (ICH).

METHODS

Patients diagnosed with ICH were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC-IV) and the eICU Collaborative Research Database (eICU-CRD). Various statistical methods, including restricted cubic spline (RCS) regression, multivariable logistic regression, subgroup analysis, and sensitivity analysis, were employed to examine the relationship between the TyG index and the primary outcomes of ICH.

RESULTS

A total of 791 patients from MIMIC-IV and 1,113 ones from eICU-CRD were analyzed. In MIMIC-IV, the in-hospital and ICU mortality rates were 14% and 10%, respectively, while in eICU-CRD, they were 16% and 8%. Results of the RCS regression revealed a consistent linear relationship between the TyG index and the risk of in-hospital and ICU mortality across the entire study population of both databases. Logistic regression analysis revealed a significant positive association between the TyG index and the likelihood of in-hospital and ICU death among ICH patients in both databases. Subgroup and sensitivity analysis further revealed an interaction between patients' age and the TyG index in relation to in-hospital and ICU mortality among ICH patients. Notably, for patients over 60 years old, the association between the TyG index and the risk of in-hospital and ICU mortality was more pronounced compared to the overall study population in both MIMIC-IV and eICU-CRD databases, suggesting a synergistic effect between old age (over 60 years) and the TyG index on the in-hospital and ICU mortality of patients with ICH.

CONCLUSIONS

This study established a positive correlation between the TyG index and the risk of in-hospital and ICU mortality in patients over 60 years who diagnosed with ICH, suggesting that the TyG index holds promise as an indicator for risk stratification in this patient population.

Triglyceride-glucose index: a novel evaluation tool for all-cause mortality in critically ill hemorrhagic stroke patients-a retrospective analysis of the MIMIC-IV database

BACKGROUND

Hemorrhagic stroke (HS), including non-traumatic intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH), constitutes a substantial proportion of cerebrovascular incidents, accounting for around 30% of stroke cases. The triglyceride-glucose index (TyG-i) represents a precise insulin resistance (IR) indicator, a crucial metabolic disturbance. Existing literature has demonstrated an association between TyG-i and all-cause mortality (ACM) among individuals suffering from ischemic stroke (IS). Yet, the TyG-i prognostic implications for severe HS patients necessitating intensive care unit (ICU) admission are not clearly understood. Considering the notably elevated mortality and morbidity associated with HS relative to IS, investigating this association is warranted. Our primary aim was to investigate TyG-i and ACM association among critically ill HS patients within an ICU context.

METHODS

Herein, patients with severe HS were identified by accessing the Medical Information Mart for Intensive Care-IV (MIMIC-IV, version 2.2) database, using the International Classification of Diseases (ICD)-9/10 as diagnostic guidelines. Subsequently, we stratified the subjects into quartiles, relying on their TyG-i scores. Moreover, we measured mortality at ICU, in-hospital, 30 days, 90 days, and 1 year as the outcomes. Cox proportional hazards regression analysis and restricted cubic splines (RCS) were deployed for elucidating the relation between the TyG-i and ACM while utilizing the Kaplan-Meier (K-M) method to estimate survival curves. The findings' robustness was assessed by conducting subgroup analysis and interaction tests employing likelihood ratio tests.

RESULTS

The analysis included 1475 patients, with a male predominance of 54.4%. Observed mortality rates in the ICU, hospital, 30 days, 90 days, and 1 year were 7.3%, 10.9%, 13.8%, 19.7%, and 27.3%, respectively. Multivariate Cox regression analysis results manifested that heightened TyG-i was significantly related to ACM at 30 days (adjusted hazard ratio [aHR]: 1.32; 95% confidence interval [CI]: 1.05-1.67; P = 0.020), 90 days (aHR: 1.27; 95% CI: 1.04-1.55; P = 0.019), and 1 year (aHR: 1.22; 95% CI: 1.03-1.44; P = 0.023). The results of RCS analysis demonstrated a progressive elevation in ACM risk with rising TyG-i levels. Interaction tests found no significant effect modification in this relationship.

CONCLUSION

In summary, TyG-i exhibits a significant correlation with ACM among patients enduring critical illness due to HS. This correlation underscores the probable utility of TyG-i as a prognostic tool for stratifying HS patients according to their risk of mortality. Applying TyG-i in clinical settings could enhance therapeutic decision-making and the management of disease trajectories. Additionally, this investigation augments existing research on the linkage between the TyG-i and IS, elucidating the TyG-i's role in predicting mortality across diverse stroke categories.

Association between triglyceride-glucose index and in-hospital mortality in critically ill patients with sepsis: analysis of the MIMIC-IV database

BACKGROUND

This study aimed to explore the association between the triglyceride-glucose (TyG) index and the risk of in-hospital mortality in critically ill patients with sepsis.

METHODS

This was a retrospective observational cohort study and data were obtained from the Medical Information Mart for Intensive Care-IV (MIMIC IV2.2) database. The participants were grouped into three groups according to the TyG index tertiles. The primary outcome was in-hospital all-cause mortality. Multivariable logistics proportional regression analysis and restricted cubic spline regression was used to evaluate the association between the TyG index and in-hospital mortality in patients with sepsis. In sensitivity analysis, the feature importance of the TyG index was initially determined using machine learning algorithms and subgroup analysis based on different subgroups was also performed.

RESULTS

1,257 patients (56.88% men) were included in the study. The in-hospital, 28-day and intensive care unit (ICU) mortality were 21.40%, 26.17%, and 15.43% respectively. Multivariate logistics regression analysis showed that the TyG index was independently associated with an elevated risk of in-hospital mortality (OR 1.440 [95% CI 1.106-1.875]; P = 0.00673), 28-day mortality (OR 1.391; [95% CI 1.52-1.678]; P = 0.01414) and ICU mortality (OR 1.597; [95% CI 1.188-2.147]; P = 0.00266). The restricted cubic spline regression model revealed that the risks of in-hospital, 28-day, and ICU mortality increased linearly with increasing TyG index. Sensitivity analysis indicate that the effect size and direction in different subgroups are consistent, the results is stability. Additionally, the machine learning results suggest that TyG index is an important feature for the outcomes of sepsis.

CONCLUSION

Our study indicates that a high TyG index is associated with an increased in-hospital mortality in critically ill sepsis patients. Larger prospective studies are required to confirm these findings.

The metabolic score for insulin resistance as a predictor of clinical outcome in stroke patients treated by intravenous thrombolysis

BACKGROUND AND PURPOSE

Insulin resistance is associated with clinical outcomes among patients with ischemic stroke. We aimed to investigate the association between metabolic score for insulin resistance (METS-IR) and clinical outcomes in stroke patients treated by intravenous thrombolysis (IVT).

METHODS

We recruited participants treated with IVT from a prospective registry including 3 stroke centers. Poor outcome was defined as a modified Rankin scale score ≥ 3 points at 90 days after the index stroke. We performed logistic regression models to investigate the association between METS-IR and the risk of poor outcome. We used the receiver operative characteristic to assess the discriminative ability and the restricted cubic spline to explore the relationship between METS-IR and the poor outcome.

RESULTS

This study enrolled a total of 1074 patients (median age, 68; 63.8% male). Three hundred sixty (33.5%) patients had poor outcome after IVT. METS-IR was associated with the risk of the poor outcome with the increase of confounding factors in models (odds ratio [OR], 1.078; 95% confidence interval [CI], 1.058-1.099; P < 0.001). The area under the curve for METS-IR for predicting the poor outcome was 0.790 (95% CI, 0.761-0.819). The restricted cubic spline revealed an increasing and non-linear association between METS-IR and the poor outcome (P for non-linearity < 0.001).

CONCLUSION

Our study found that METS-IR was associated with an increased risk of poor outcome after IVT. Further studies are warranted to investigate the efficacy of anti-diabetic agents regarding IR on clinical outcomes after IVT.

Association between Triglyceride-Glucose Index and 1-Year Recurrent Stroke after Acute Ischemic Stroke: Results from the Xi'an Stroke Registry Study of China

INTRODUCTION

The triglyceride-glucose (TyG) index is reported to be related to poor functional outcomes and all-cause mortality post-stroke. However, the association between TyG index and recurrent stroke after acute ischemic stroke (AIS) has not been well described. We aimed to identify whether the TyG index was associated with 1-year recurrent stroke after AIS.

METHODS

Baseline patient information was collected at admission, and the TyG index was calculated. Recurrent stroke events were followed up at 1, 3, 6, and 12 months after diagnosis. We then examined the association between the TyG index and risk of 1-year recurrent stroke using multivariable Cox regression models and restricted cubic spline analyses.

RESULTS

Among 2,288 participants, the mean TyG index was 8.8 ± 0.7. Those in the fourth quartile (Q4) demonstrated higher recurrent stroke risk than those in Q1 (adjusted hazard ratio [HR] = 1.63; 95% confidence interval [CI], 0.98-2.72; p = 0.059). Subgroup analysis revealed a sex-specific association between TyG index and recurrent stroke (p for interaction = 0.022). Additionally, restricted cubic splines analyses showed a nonlinear association between the TyG index and 1-year recurrent stroke. In females, patients in the Q4 had a 2.95-fold increased recurrent stroke risk than did patients in the Q1 (adjusted HR = 2.95; 95% CI: 1.09-7.94; p = 0.032); the risk increased when the TyG index was >8.73. However, no significant correlation was observed in males.

CONCLUSION

A nonlinear association was found between the TyG index and 1-year recurrent stroke risk. Subsequently, a high TyG index could predict an increased 1-year recurrent stroke risk in female AIS patients.

Association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database

BACKGROUND

The triglyceride-glucose (TyG) index was significantly associated with insulin resistance (IR). Several studies have validated the effect of TyG index on cerebrovascular disease. However, the value of TyG index in patients with severe stroke requiring ICU admission remains unclear. The aim of this study was to investigate the association between the TyG index and clinical prognosis of critically ill patients with ischemic stroke (IS).

METHODS

This study identified patients with severe IS requiring ICU admission from the Medical Information Mart for Intensive Care (MIMIC-IV) database, and divided them into quartiles based on TyG index level. The outcomes included in-hospital mortality and ICU mortality. The association between the TyG index and clinical outcomes in critically ill patients with IS was elucidated using Cox proportional hazards regression analysis and restricted cubic splines.

RESULTS

A total of 733 patients (55.8% male) were enrolled. The hospital mortality and intensive care unit (ICU) mortality reached 19.0% and 14.9%, respectively. Multivariate Cox proportional hazards analysis showed that the elevated TyG index was significantly related to all-cause death. After confounders adjusting, patients with an elevated TyG index had a significant association with hospital mortality (adjusted hazard ratio, 1.371; 95% confidence interval, 1.053-1.784; P = 0.013) and ICU mortality (adjusted hazard ratio, 1.653; 95% confidence interval, 1.244-2.197; P = 0.001). Restricted cubic splines revealed that a progressively increasing risk of all-cause mortality was related to an elevated TyG index.

CONCLUSION

The TyG index has a significant association with hospital and ICU all-cause death in critically ill patients with IS. This finding demonstrates that the TyG index might be useful in identifying patients with IS at high risk of all-cause death.

Triglyceride-glucose index, symptomatic intracranial artery stenosis and recurrence risk in minor stroke patients with hypertension

BACKGROUND

The triglyceride-glucose (TyG) index, a simple measure of insulin resistance, is associated with intracranial atherosclerosis (ICAS) and stroke. In hypertensive populations, this association may be pronounced. The aim was to investigate the relationship between TyG and symptomatic intracranial atherosclerosis (sICAS) and recurrence risk in ischemic stroke patients with hypertension.

METHODS

This prospective, multicenter cohort study included patients with acute minor ischemic stroke with a preadmission diagnosis of hypertension from September 2019 to November 2021 with a 3-month follow-up. The presence of sICAS was determined by a combination of clinical manifestations, the location of the infarction, and the corresponding artery with moderate-to-severe stenosis. ICAS burden was determined by the degree and number of ICAS occurrences. Fasting blood glucose (FBG) and triglyceride (TG) were measured to calculate TyG. The main outcome was ischemic stroke recurrence during the 90-day follow-up. Multivariate regression models were used to explore the association of TyG, sICAS, and ICAS burden with stroke recurrence.

RESULTS

There were 1281 patients with a mean age of 61.6 ± 11.6 years; 70.1% were male, and 26.4% were diagnosed with sICAS. There were 117 patients who experienced stroke recurrence during follow-up. Patients were categorized according to quartiles of TyG. After adjusting for confounders, the risk of sICAS was greater (OR 1.59, 95% CI 1.04-2.43, p = 0.033) and the risk of stroke recurrence was significantly higher (HR 2.02, 95% CI 1.07-3.84, p = 0.025) in the fourth TyG quartile than in the first quartile. The restricted cubic spline (RCS) plot revealed a linear relationship between TyG and sICAS, and the threshold value for TyG was 8.4. Patients were then dichotomized into low and high TyG groups by the threshold. Patients with high TyG combined with sICAS had a higher risk of recurrence (HR 2.54, 95% CI 1.39-4.65) than patients with low TyG without sICAS. An interaction effect on stroke recurrence between TyG and sICAS was found (p = 0.043).

CONCLUSION

TyG is a significant risk factor for sICAS in hypertensive patients, and there is a synergistic effect of sICAS and higher TyG on ischemic stroke recurrence.

TRIAL REGISTRATION NUMBER

The study was registered on 16 August 2019 at https://www.chictr.org.cn/showprojen.aspx?proj=41160 (No. ChiCTR1900025214).

Triglyceride-glucose index and short-term functional outcome and in-hospital mortality in patients with ischemic stroke

BACKGROUND AND AIMS

The triglyceride-glucose (TyG) index has been demonstrated as an independent marker of ischemic stroke. Whether TyG index predicts short-term outcomes in patients with ischemic stroke remains uncertain. The aim of the study was to investigate the early prognosis value of TyG index in ischemic stroke patients.

METHODS AND RESULTS

A total of 3216 acute ischemic stroke patients from 22 hospitals were included in this analysis. The TyG index was calculated as ln (fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2). Logistic regression model was performed to estimate the relationship between TyG index and unfavorable functional outcome of death or disability (modified Rankin Scale score of 4-6) at discharge. Risk reclassification with TyG index to predict unfavorable functional outcome was analyzed. During hospitalization, 748 patients (23.3%) experienced poor functional outcome and 105 patients (3.3%) died from all causes. The multivariable adjusted odds ratios for the highest versus lowest quartile of TyG index was 1.62 (95% CI 1.15-2.29) for unfavorable functional outcome at discharge. The addition of TyG index to the conventional model improved the risk reclassification (net reclassification improvement 10.37%; integrated discrimination improvement 0.27%; both p < 0.05) for poor functional outcome. Moreover, TyG index was associated with an odds ratio (95% CI) of 1.26 (1.02-1.55) for an ordinal shift in mRS score and 2.49 (1.21-5.12) for in-hospital mortality.

CONCLUSIONS

Higher TyG index was associated with higher risk of unfavorable functional outcome at discharge and in-hospital mortality, implicating the significant short-term prognostic effect of TyG index in patients with ischemic stroke.

The impact of triglyceride-glucose index on ischemic stroke: a systematic review and meta-analysis

BACKGROUND

Strokes significantly impair quality of life and incur high economic and societal burdens. The triglyceride and glucose (TyG) index is a biochemical marker of insulin resistance (IR) and may have important value in the prediction of strokes, especially ischemic stroke (IS). Our study aims to investigate the relationship between TyG index and IS and ascertain whether TyG index is independently associated with IS adverse outcomes.

METHODS

The Cochrane, Embase, Medline, Web of Science, PubMed, and other relevant English databases and related websites were systematically searched for articles on ''TyG index'' and "stroke" published from inception to April 4, 2022. We reviewed the available literature on the TyG index and its relation to predicting IS occurrence in the general population and adverse clinical outcomes. We calculated odds ratios (OR) of TyG index and its predictability of IS occurrence and adverse outcomes. Statistical analyses were performed using the Meta Package in STATA, version 12.0.

RESULTS

A total of 18 studies and 592,635 patients were included in our analysis. The pooled effect values of all stroke types showed that higher TyG index was associated with increased the risk of IS in the general population (OR 1.37; 95% CI 1.22-1.54) in a total sample of 554,334 cases with a high level of heterogeneity (P = 0.000, I² = 74.10%). In addition, compared to IS patients with a lower TyG index, IS patients with a higher TyG index was associated with higher risk of stroke recurrence (OR: 1.50; 95% CI 1.19-1.89) and increased risk of mortality (OR 1.40 95% CI 1.14-1.71). No correlation was found in the effect value combinations of poor functional outcomes (OR 1.12; 95% CI 0.88-1.43) and neurological worsening (OR: 1.76; 95% CI 0.79-3.95) in a total sample of 38,301 cases with a high level of heterogeneity (P = 0.000; I² = 77.20%).

CONCLUSIONS

TyG index has potential value in optimizing risk stratification for IS in the general population. Furthermore, there is a significant association between high TyG index and many adverse outcomes of stroke, especially stroke recurrence and high mortality. Future studies should focus on multi-center and multi-regional designs in order to further explore the relationship between IS and TyG index.

Predictive role of blood-based indicators in neuromyelitis optica spectrum disorders

Introduction

This study aimed to assess the predictive role of blood markers in neuromyelitis optica spectrum disorders (NMOSD).

Methods

Data from patients with NMOSD, multiple sclerosis (MS), and healthy individuals were retrospectively collected in a 1:1:1 ratio. The expanded disability status scale (EDSS) score was used to assess the severity of the NMOSD upon admission. Receiver operating characteristic (ROC) curve analysis was used to distinguish NMOSD patients from healthy individuals, and active NMOSD from remitting NMOSD patients. Binary logistic regression analysis was used to evaluate risk factors that could be used to predict disease recurrence. Finally, Wilcoxon signed-rank test or matched-sample t-test was used to analyze the differences between the indicators in the remission and active phases in the same NMOSD patient.

Results

Among the 54 NMOSD patients, neutrophil count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) (platelet × NLR) were significantly higher than those of MS patients and healthy individuals and positively correlated with the EDSS score of NMOSD patients at admission. PLR can be used to simultaneously distinguish between NMOSD patients in the active and remission phase. Eleven (20.4%) of the 54 patients had recurrence within 12 months. We found that monocyte-to-lymphocyte ratio (MLR) (AUC = 0.76, cut-off value = 0.34) could effectively predict NMOSD recurrence. Binary logistic regression analysis showed that a higher MLR at first admission was the only risk factor for recurrence (p = 0.027; OR = 1.173; 95% CI = 1.018-1.351). In patients in the relapsing phase, no significant changes in monocyte and lymphocyte count was observed from the first admission, whereas patients in remission had significantly higher levels than when they were first admitted.

Conclusion

High PLR is a characteristic marker of active NMOSD, while high MLR is a risk factor for disease recurrence. These inexpensive indicators should be widely used in the diagnosis, prognosis, and judgment of treatment efficacy in NMOSD.

Predictive effect of triglyceride-glucose index on clinical events in patients with acute ischemic stroke and type 2 diabetes mellitus

BACKGROUND

The triglyceride-glucose (TyG) index was significantly related to clinical outcome in patients with cardiovascular disease (CAD) and cerebrovascular disease (CVD). We aim to investigate the association between TyG index and clinical prognosis of acute ischemic stroke (IS) patients with type-2 diabetes mellitus (T2DM).

METHODS

Among 19,604 patients with acute IS admitted to the China National Stroke Registry II (CNSRII), 3359 IS patients with T2DM were included in the cross-sectional analysis. The TyG index (calculated by ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]) was split into four quartiles. The outcomes included recurrent IS, all-cause death and poor outcome at 1 year were analyzed. The association between the TyG index and adverse cerebrovascular outcomes was assessed by proportional hazards regression analysis.

RESULTS

During 1 year follow-up, recurrent IS, all-cause death and poor outcome occurred in 305 (9.08%), 229 (6.82%) and 443 (47.9%) cases, respectively. Multivariable Cox proportional hazards analyses showed that the risk of incident primary endpoints was associated with a higher TyG quartile. After adjustment for confounding factors, patients with a higher TyG index had an association with IS recurrence (adjusted hazard ratio, 1.41; 95% confidence interval, 0.97-2.03; P = 0.048) and all-cause death (adjusted hazard ratio, 1.70; 95% confidence interval, 1.062-2.74; P = 0.028), compared with those in the first quartile at 1 year time follow-up. In addition, there were interactions between TyG index and age (≥ 65), female, hypertensive agents, anticoagulant agents, statins and antidiabetic agents in subgroup analyses, especially patients without taken anticoagulant drugs were significantly related to IS recurrence, all-cause death and poor outcome (P = 0.003, P = 0.006 and P = 0.001, respectively).

CONCLUSIONS

TyG index is strongly related to the IS recurrence and all-cause death in acute IS patients with T2DM. This finding indicates that the TyG index might be a potential predictor of clinical outcome for acute IS patients with T2DM.

Triglyceride-Glucose Index and the Prognosis of Patients with Acute Ischemic Stroke: A Meta-Analysis

A higher triglyceride-glucose (TyG) index has been related to an increased incidence of stroke in community population. A meta-analysis was performed to evaluate the association between TyG index and prognosis in patients with acute ischemic stroke (IS). Observational studies, which evaluated the influence of TyG index on functional outcome and mortality in patients with acute IS were retrieved by search the PubMed, Embase, Web of Science, Wanfang and China National Knowledge Infrastructure databases from inception to February 20, 2022. Two authors independently collected the data of study characteristics and outcomes. A random-effect model was used to pool the results via incorporating the influence of possible between-study heterogeneity. Eight cohort studies involving 34 076 patients with acute IS contributed to the study. Pooled results showed that a higher TyG index was independently associated with increased risks of all-cause mortality (OR: 1.60, 95% CI: 1.19-2.15, p=0.002; I2=78%) and poor functional outcome (OR: 1.37, 95% CI: 1.11-1.69, p=0.004; I2=71%). Further sensitivity analyses by excluding one cohort study at a time showed consistent results (p all<0.05). Subgroup analyses showed similar results in prospective and retrospective cohort studies, in non-diabetic and diabetic patients, and in studies with follow-up durations within 3 months and of 12 months (p for subgroup analyses all>0.05). In conclusion, higher TyG index is a predictor of all-cause mortality and poor functional outcome in patients with acute IS, and TyG index may be useful for prognostic evaluation in these patients.

Influence of the Triglyceride-Glucose Index on Adverse Cardiovascular and Cerebrovascular Events in Prediabetic Patients With Acute Coronary Syndrome

BACKGROUND

Cardiovascular disease and insulin resistance are closely related. The triglyceride-glucose (TyG) index is frequently used as an indicator of insulin resistance. However, there is scant information on the TyG index in the prediabetic population, nor is the prognostic significance of the index known for prediabetes and acute coronary syndrome (ACS) patients.

METHODS

The clinical endpoint was a major adverse cardiovascular and cerebrovascular event (MACCEs), including cardiac-related death, non-fatal myocardial infarction, ischemia-driven revascularization, and stroke. The TyG index was calculated as = ln [(triglyceride level, mg/dL) × (glucose level, mg/dL)÷2] under fasting conditions.

RESULTS

The study included 2,030 prediabetic patients with ACS. Patients were followed up for 2.5 years, during which the total incidence of MACCEs was 12%. After adjustment for covariates, the TyG index was found to be predictive of prediabetes with ACS (HR 4.942, 95%CI: 3.432-6.115, P<0.001). Using propensity score matching, 574 pairs were successfully matched, and the two groups were analyzed in terms of survival. This showed that there was a significantly greater incidence of MACCEs in patients with high TyG indices (HR 3.526, 95%CI: 2.618-4.749, P<0.001), mainly due to ischemia-driven revascularization and stroke.

CONCLUSIONS

The TyG index independently predicts future MACCEs and may be an important prognostic indicator for patients with prediabetes and ACS.

Relationship between triglyceride-glucose index and carotid plaques in a high-stroke-risk population in southeast china: A population-based cross-sectional survey

BACKGROUND

Cervical arterial atherosclerosis (CAA) is an important risk factor of stroke in China. The triglyceride-glucose (TyG) index is a simple and low-cost marker for ischemic stroke. Whether the TyG index predicts cervical arterial atherosclerosis remains uncertain. This study aimed to investigate the relationship between the TyG index and cervical arterial atherosclerosis.

METHODS

This cross-sectional study was conducted in residents aged ≥40 years in the general population of southeast China. All participants completed a detailed questionnaire and provided blood samples. The high-stroke-risk groups further completed cervical artery ultrasonography. The TyG index was calculated using a well-established formula and analyzed in quartiles (Q1-Q4). Multivariate logistic regression was used to investigate the relationship between the TyG index and cervical arterial atherosclerosis.

RESULTS

A total of 4,499 participants aged ≥40 years were finally included, with 23.47% comprising the high-stroke-risk population. The prevalence rates of increased intima-media thickness (IMT), carotid plaque, and cervical artery stenosis (CAS) in the high-stroke-risk population were 21.97%, 39.3%, and 6.1%, respectively. Subjects with higher TyG were still more likely to have carotid plaque. After adjusting for several established risk factors, compared with the TyG-Q1 group, the TyG-Q2, TyG-Q3, and TyG-Q4 groups were more likely to have carotid plaque (OR = 1.85, 95%CI = 1.28-2.67; OR = 1.51, 95%CI = 1.05-2.18; and OR = 1.29, 95%CI = 0.90-1.84). TyG was an independent predictor of the presence of plaque in the carotid artery of the high-stroke-risk population.

CONCLUSIONS

An elevated TyG index is a potential predictor of carotid plaques in the high-stroke-risk population older than 40 years.

Combination of TyG Index and GRACE Risk Score as Long-Term Prognostic Marker in Patients with ACS Complicated with T2DM Undergoing PCI

OBJECTIVE

We aimed to investigate the prognostic value of the triglyceride-glucose (TyG) index combined the with Global Registry of Acute Coronary Events (GRACE) score in adult acute coronary syndrome (ACS) patients with type 2 diabetes mellitus (T2DM) who underwent percutaneous coronary intervention (PCI).

METHODS

The study enrolled total 899 ACS patients with T2DM who underwent PCI. TyG index and the GRACE risk score were calculated and assessed by median. The correlation was analyzed by Spearman's rank correlation coefficient. The cumulative major adverse cardiovascular event (MACE) curve was generated using the Kaplan-Meier method. Multivariate Cox regression was used to identify predictors of MACEs. Additionally, the receiver operating characteristic curve (ROC), net reclassification index (NRI) and Integrated Discrimination Improvement (IDI) were applied to analyze the performance of each single factor index and combined multivariate index in predicting MACE.

RESULTS

In the ACS patients with T2DM after PCI, there were significant differences in the TyG index and GRACE risk score between the MACE group and the MACE-free group (P < 0.001). Kaplan-Meier analysis showed that the TyG index combined with the GRACE risk score was positively correlated with the occurrence of MACEs (log rank P < 0.001). Multivariate Cox regression analyses showed that the TyG index, the GRACE risk score, and the TyG index combined with the GRACE risk score were independent predictors of long-term MACEs (adjusted HR: 1.805; 95% CI: 1.479-2.203, P < 0.001; adjusted HR: 1.012; 95% CI: 1.009-1.016, P < 0.001; and adjusted HR: 2.337; 95% CI: 1.805-3.025, P < 0.001, respectively). Correlation analysis indicated that the TyG index was positively correlated with the GRACE risk score (R = 0.140, P < 0.001). The analysis of AUC, NRI and IDI revealed that the combined multivariate index performed better prognostic role than each single factor index in predicting the occurrence of MACE.

CONCLUSION

Both the GRACE risk score and the TyG index could be significant and independent predictors of clinical outcomes in ACS patients with T2DM after PCI. A combination of them could be enhanced predictions of clinical outcomes in these patients.