Adjustment of the GRACE score by the triglyceride glucose index improves the prediction of clinical outcomes in patients with acute coronary syndrome undergoing percutaneous coronary intervention

The impact of triglyceride-glucose index on the prognosis of post-PCI patients-a meta-analysis

Background

Previous research has demonstrated the validity of the triglyceride-glucose (TyG) index as a robust measure of insulin resistance (IR) and its association with coronary artery disease (CAD). The objective of this study is to elucidate the relationship between the TyG index and the prognosis of patients underwent percutaneous coronary intervention (PCI) through a comprehensive systematic review and meta-analysis. Our goal is to provide a thorough analysis of the available evidence to offer more clarity on this association.

Methods

A systematic and thorough search was carried out in the PubMed, Embase, Cochrane Library, and Web of Science databases, covering studies published in English from the beginning until October 1, 2023. The focus of the search was to gather relevant studies pertaining to the occurrence of major adverse cardiovascular events (MACE). To address the variability among the included studies, random or fixed effect models were utilized to summarize the hazard ratios (HR). In cases where heterogeneity was detected, subgroup or sensitivity analyses were performed to explore potential sources. To evaluate publication bias, the Egger or Begg test was employed.

Results

This study incorporated a total of 17 studies. Individuals with the highest TyG index exhibited an elevated risk of major adverse cardiovascular events (MACEs) compared to those with the lowest TyG index (HR = 1.69; 95% CI: 1.47-1.95; P < 0.001). When analyzing the TyG index as a continuous variable, each standard deviation increase was associated with an HR of 1.60 (95% CI: 1.48-1.73; P < 0.001). Moreover, in patients diagnosed with acute coronary syndrome (ACS), higher TyG index levels showed a trend of increased risk of MACE (HR = 1.54; 95% CI: 1.27-1.86; P < 0.001). Furthermore, an elevated TyG index was found to be associated with a higher risk of in-stent restenosis (HR = 1.62; 95% CI: 1.29-2.03; P < 0.001), new-onset atrial fibrillation (HR = 2.97; 95% CI: 2.10-4.06; P = 0.014), and a reduction in quantitative flow ratio (HR = 1.35; 95% CI: 1.101-1.592; P = 0.005). Subgroup analysis indicated the risk of MACE was comparable between varied durations of follow-up (P = 0.11). Furthermore, regression analysis revealed that the positive association between TyG index and the risk of MACE did not differ between individuals with or without diabetes (P = 0.23).

Conclusion

An increase in the TyG index may lead to a higher vulnerability to major adverse cardiovascular events (MACE) in patients underwent PCI and there was no significant difference in the risk of major adverse cardiovascular events (MACE) between diabetic and non-diabetic individuals.

The association of triglyceride-glucose index with major adverse cardiovascular and cerebrovascular events after acute myocardial infarction: a meta-analysis of cohort studies

BACKGROUND

Insulin resistance (IR) is indicated to be linked with adverse outcomes of acute myocardial infarction (AMI), for its pro-inflammatory and pro-thromboplastic function. The triglyceride-glucose (TyG) index is a newly developed substitute marker for IR. The aim of this pooled analysis was to provide a summary of the relationship of TyG index with occurrences of major adverse cardiovascular and cerebrovascular events (MACCEs) among populations suffering from AMI.

METHODS

Cohorts reporting multivariate-adjusted hazard ratios of TyG index with MACCEs or its independent events were identified through systematically searching PubMed, MEDLINE, Web of science, Embase and Cochrane databases. Results were combined using a random-effects model.

RESULTS

21 cohorts comprising 20403 individuals were included. Compared to individuals in the lowest TyG category, patients in the highest TyG category exhibited elevated risks of both MACCEs (P < 0.00001) and all-cause death (P < 0.00001). These findings were in line with the results as TyG analyzed as continuous variables (MACCEs: P = 0.006; all-cause death: P < 0.00001). Subgroup analysis demonstrated that diabetic status, type of AMI, nor the reperfusion therapy did not destruct this correlation (for subgroups, all P < 0.05).

CONCLUSION

All these indicated that higher TyG index could potentially predict MACCEs and all-cause death in patients with AMI as an independent indicator.

Triglyceride-glucose index's link to cardiovascular outcomes post-percutaneous coronary intervention in China: a meta-analysis

Percutaneous coronary intervention (PCI) addresses myocardial ischaemia, but a significant subset of patients encounter major adverse cardiovascular events (MACE) post-treatment. This meta-analysis investigated the relationship between the post-PCI triglyceride-glucose (TyG) index and MACE. Comprehensive searches of the Embase, PubMed, Cochrane Library, and Web of Science databases were conducted up to 3 March 2023, using relevant keywords. The effect size was determined based on I2 statistic using random-effects models. Cluster-robust standard errors crafted the dose-response curve, and the GRADE Evaluation Scale was employed to rate the quality of evidence. The group with the highest TyG index had significantly higher post-PCI MACE rates than the lowest index group, with hazard ratios (HRs) of 2.04 (95% CI 1.65-2.52; I2 = 77%). Each unit increase in TyG index corresponded to HRs of 1.82 for MACE (95% CI 1.34-2.46; I2 = 92%), 2.57 for non-fatal MI (95% CI 1.49-4.41; I2 = 63%), and 2.06 for revascularization (95% CI 1.23-3.50; I2 = 90%). A linear relationship between TyG index and MACE risk was established (R2 = 0.6114). For all-cause mortality, the HR was 1.93 (95% CI 1.35-2.75; I2 = 50%), indicating a higher mortality risk with elevated TyG index. The GRADE assessment yielded high certainty for non-fatal MI but low certainty for all-cause mortality, revascularization, and MACE. The TyG index may predict risks of post-PCI MACE, all-cause mortality, non-fatal MI, and revascularization, with varied levels of certainty. A potential linear association between the TyG index and MACE post-PCI was identified. Future research should validate these findings.

Triglyceride-Glucose Index Predicts Major Adverse Cardiovascular and Cerebrovascular Events in Patients with Atrial Fibrillation

This study aimed to explore the relationship between the trajectory of the triglyceride-glucose (TyG) index and the occurrence of major adverse cardiovascular and cerebrovascular events (MACCE) in patients with atrial fibrillation (AF).This prospective study included 1979 patients with AF, who were initially selected from the Kailuan study. Patients of AF were split into four groups according to the value of TyG index. The clinical endpoint was MACCE, including myocardial infarction and ischemic stroke. Cox proportional hazard models were employed to examine the hazard ratio (HR) and 95% confidence interval (CI) for MACCE in various trajectory groups.The mean age of all patients with AF was 67.65 ± 11.15 years, and 1752 (88.53%) were male. Over a median follow-up duration of 5.31 years, in total 227 MACCE were recorded. MACCE cumulative incidence in Quartile 4 (26.96%) was significantly higher than those in other quartiles (P = 0.023). Multivariate Cox proportional hazards regression analysis showed that a higher TyG index (Quartile 4) was significantly and positively linked to MACCE in patients with AF (P = 0.023, HR: 2.103; 95% CI: 1.107-3.994).The evaluated TyG index is significantly associated with an increased risk of MACCE in patients with AF.

Epidemiology and current management of cardiovascular disease in China

The Annual Report on Cardiovascular Health and Diseases in China (2022) intricate landscape of cardiovascular health in China. This is the fourth section of the report with a specific focus on epidemiology and current management of cardiovascular disease (CVD) in China. This section of the report highlights the epidemiological trends of CVD in China. It reveal a concerning rise in prevalence, with approximately 330 million affected individuals, including significant numbers with stroke, coronary artery disease (CAD), heart failure, and other conditions. CVD stands as the primary cause of mortality among both urban and rural populations, accounting for nearly half of all deaths in 2020. Mortality rates are notably higher in rural areas compared to urban centers since 2009. While age-standardized mortality rates have decreased, the absolute number of CVD deaths has increased, primarily due to population aging. Ischemic heart disease, hemorrhagic and ischemic strokes are the leading causes of CVD-related deaths. Notably, the burden of atherosclerotic cardiovascular disease has risen substantially, with atherosclerotic cardiovascular disease-related deaths increasing from 1990 to 2016. The incidence of ischemic stroke and ischemic heart disease has shown similar increasing trends over the past three decades. CAD mortality, particularly acute myocardial infarction, has been on the rise, with higher mortality rates observed in rural areas since 2016. The prevalence of CAD has increased significantly, with over 11 million patients identified in 2013. Studies assessing hospital performance in managing acute coronary syndrome reveal gaps in adherence to guideline-recommended strategies, with disparities in care quality across hospitals. However, initiatives like the China Patient-centered Evaluative Assessment of Cardiac Events (PEACE)-Retrospective AMI Study and the Improving Care for Cardiovascular Disease in China-Acute Coronary Syndrome (CCC-ACS) project aim to improve patient outcomes through enhanced care protocols. Moreover, advancements in medical technology, such as quantitative flow ratio-guided lesion selection during percutaneous coronary intervention, show promise in improving clinical outcomes for patients undergoing intervention.

Triglyceride-glucose index is associated with poor prognosis in acute coronary syndrome patients with prior coronary artery bypass grafting undergoing percutaneous coronary intervention

BACKGROUND

The triglyceride-glucose (TyG) index, which is a reliable substitute indicator for insulin resistance, has been considered an independent risk factor for long-term outcomes in patients with cardiovascular disease. However, it remains unknown whether the TyG index is associated with poor prognosis in acute coronary syndrome (ACS) patients with prior coronary artery bypass grafting (CABG) undergoing percutaneous coronary intervention (PCI).

METHODS

A total of 1158 ACS patients with prior CABG undergoing PCI were retrospectively studied. The TyG index was calculated by ln[fasting triglyceride (mg/dL) × fasting blood glucose (mg/dL)/2]. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE), a composite of all-cause death, nonfatal myocardial infarction, nonfatal stroke, and unplanned repeat revascularization.

RESULTS

During a median of 42-month follow-up, 350 patients (30.2%) experienced at least one endpoint event. Based on the optimal cut-off value of the TyG index, patients were divided into the high TyG index group and the low TyG index group. Patients in the high TyG index group had higher risks of MACCE (35.3% vs. 25.3%, p < 0.001), major adverse cardiovascular events (MACE) (31.1% vs. 23.4%, p = 0.003), nonfatal stroke (4.2% vs. 1.9%, p = 0.022) and unplanned repeat revascularization (19.4% vs. 11.3%, p < 0.001) than those in the low TyG index group. Cox regression analysis demonstrated that there was an independent association between the TyG index and MACCE regardless of whether the TyG index was a continuous or categorical variable (HR 1.42, 95% CI 1.09-1.86, p = 0.009; HR 1.53, 95% CI 1.16-2.01, p = 0.003, respectively). Restricted cubic spline curve exhibited that the relationship between the TyG index and MACCE was linear (p for non-linear = 0.595, p for overall = 0.005). By incorporating the TyG index groups into baseline risk model, the accuracy of predicting MACCE was improved [AUC: baseline risk model, 0.618 vs. baseline risk model + TyG index groups, 0.636, p for comparison = 0.042].

CONCLUSIONS

The TyG index is independently associated with MACCE, suggesting that the TyG index may serve as a valid indicator for predicting poor prognosis in ACS patients with prior CABG undergoing PCI.

The triglyceride-glucose index predicts 1-year major adverse cardiovascular events in end-stage renal disease patients with coronary artery disease

BACKGROUND

The triglyceride-glucose (TyG) index has been suggested as a dependable indicator for predicting major adverse cardiovascular events (MACE) in individuals with cardiovascular conditions. Nevertheless, there is insufficient data on the predictive significance of the TyG index in end-stage renal disease (ESRD) patients with coronary artery disease (CAD).

METHODS

This study, conducted at multiple centers in China, included 959 patients diagnosed with dialysis and CAD from January 2015 to June 2021. Based on the TyG index, the participants were categorized into three distinct groups. The study's primary endpoint was the combination of MACE occurring within one year of follow-up, including death from any cause, non-fatal myocardial infarction, and non-fatal stroke. We assessed the association between the TyG index and MACE using Cox proportional hazard models and restricted cubic spline analysis. The TyG index value was evaluated for prediction incrementally using C-statistics, continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI).

RESULTS

The three groups showed notable variations in the risk of MACE (16.3% in tertile 1, 23.5% in tertile 2, and 27.2% in tertile 3; log-rank P = 0.003). Following complete adjustment, patients with the highest TyG index exhibited a notably elevated risk of MACE in comparison to those in the lowest tertile (hazard ratio [HR] 1.63, 95% confidence interval [CI] 1.14-2.35, P = 0.007). Likewise, each unit increase in the TyG index correlated with a 1.37-fold higher risk of MACE (HR 1.37, 95% CI 1.13-1.66, P = 0.001). Restricted cubic spline analysis revealed a connection between the TyG index and MACE (P for nonlinearity > 0.05). Furthermore, incorporating the TyG index to the Global Registry of Acute Coronary Events risk score or baseline risk model with fully adjusted factors considerably enhanced the forecast of MACE, as demonstrated by the C-statistic, continuous NRI, and IDI.

CONCLUSIONS

The TyG index might serve as a valuable and dependable indicator of MACE risk in individuals with dialysis and CAD, indicating its potential significance in enhancing risk categorization in clinical settings.

Triglyceride-glucose index is associated with recurrent revascularization in patients with type 2 diabetes mellitus after percutaneous coronary intervention

BACKGROUND

The Triglyceride-glucose (TyG) index, as a surrogate marker of insulin resistance, is independently associated with the severity of coronary artery lesions and the prognosis of coronary heart disease. The investigation aimed to explore the relationship between the TyG index and recurrent revascularization in individuals with type 2 diabetes mellitus (T2DM) resulting from the progression of lesions or in-stent restenosis (ISR) after percutaneous coronary intervention (PCI).

METHOD

A total of 633 patients who met the inclusion and exclusion criteria were enrolled and divided into three groups based on the tertiles of the TyG index. The primary endpoint was recurrent revascularization resulting from the progression of lesions or ISR. All-cause death was considered as the competing risk event. Competing risk analysis and Cox regression analysis for predicting recurrent revascularization after PCI were conducted stepwise. Variables were standardized to make the hazard ratio (HR), subdistribution hazard ratio (SHR) and corresponding 95% CI more consistent prior to being used for fitting the multivariate risk model. The predictive ability of the TyG index was evaluated using several measures, including the ROC curve, likelihood ratio test, Akaike's information criteria, category-free continuous net reclassification improvement (cNRI > 0), and integrated discrimination improvement (IDI). Internal validation was conducted through bootstrapping with 1000 resamples.

RESULTS

During a median follow-up period of 18.33 months, a total of 64 (10.11%) patients experienced recurrent revascularization, including 55 cases of lesion progression and 9 cases of in-stent restenosis. After controlling for competitive risk events, the TyG index was independently associated with a higher risk of recurrent revascularization [SHR:1.4345, (95% CI 1.1458-1.7959), P = 0.002]. The likelihood ratio test and Akaike's information criteria showed that the TyG index significantly improves the prognostic ability. Additionally, adding the TyG index improved the ability of the established risk model in predicting recurrent revascularization, indicated by a C-index of 0.759 (95% CI 0.724-0.792, P < 0.01), with a cNRI > 0 of 0.170 (95% CI 0.023-0.287, P < 0.05), and an IDI of 0.024 (95% CI 0.009-0.039, P = 0.002). These results remained consistent when the models containing TyG index were confirmed using an internal bootstrap validation method.

CONCLUSION

The findings highlight the potential of the TyG index as a predictor of recurrent revascularization. Lesion progression emerged as the primary contributor to recurrent revascularization instead of in-stent restenosis. The incorporation of the TyG index into risk prediction models is likely to be beneficial for accurate risk stratification in order to improve prognosis.

Prognostic implications of the 4S-AF scheme to characterize new-onset atrial fibrillation after myocardial infarction

AIMS

The 4S-AF scheme (Stroke risk [St], Symptom severity [Sy], Severity of atrial fibrillation burden [Sb], Substrate [Su]) is a novel approach for the holistic characterization of AF. We aimed to investigate the prognostic implications of the 4S-AF scheme score in acute myocardial infarction (AMI) patients with new-onset atrial fibrillation (NOAF).

METHODS

We included 262 patients with post-MI NOAF who had complete data for the 4S-AF scheme evaluation between February 2014 and March 2018. The 4S-AF scheme score was calculated as a sum of each domain with a maximum of 9. The primary outcome was all-cause death.

RESULTS

Of 262 patients (66.0% males, mean age 74.5 ± 10.4 years) were analyzed. The mean 4S-AF scheme score was 5.0 ± 1.6. There were 62 (27.3%) all-cause deaths within a median follow-up of 2.6 years. According to multivariable Cox regression models, each 1-point increase in the 4S-AF scheme score was significantly associated with 39% increased all-cause mortality (HR: 1.39, 95% CI: 1.16-1.67, P<0.001), which was mainly driven by the Sb (HR: 1.43, 95%CI: 1.05-1.95, P = 0.025) and Su (HR: 1.53, 95%CI: 1.17-2.02, P = 0.002) domains. Adding the 4S-AF scheme score on top of the Global Registry of Acute Coronary Events score could significantly improve its discriminative capability (C-index from 0.713 to 0.761, P = 0.039) and reclassification performance (continuous net reclassification improvement: 41.0% [95%CI: 12.5-69.6]; integrated discrimination improvement: 5.1% [95%CI: 2.2-8.1]) for all-cause mortality.

CONCLUSIONS

Characterization of NOAF using the 4S-AF scheme aids in the risk stratification of AMI patients with NOAF.

Adjustment of the GRACE score by the stress hyperglycemia ratio improves the prediction of long-term major adverse cardiac events in patients with acute coronary syndrome undergoing percutaneous coronary intervention: A multicenter retrospective study

AIMS

The predictive value of the stress hyperglycemia ratio (SHR) for long-term prognosis in acute coronary syndrome (ACS) is inconsistent. Whether the SHR provides additional prognostic value in addition to the GRACE score in ACS patients undergoing percutaneous coronary intervention (PCI) remains unknown.

METHODS

A development-validation method was adopted to develop an algorithm to adjust the GRACE score using the SHR in ACS patients undergoing PCI from 11 hospitals.

RESULTS

During a median follow-up of 31.33 months, the occurrence of major adverse cardiac events (MACEs), defined as a composite of all-cause mortality and nonfatal myocardial infarction, was more frequent in the patients with a higher level of SHR. The SHR independently predicted long-term MACEs (hazard ratio 3.3479; 95% CI 1.4103-7.9475; P = 0.0062). Adjustment of the GRACE risk by addition of the SHR increased the C-statistic from 0.706 (95% CI: 0.599-0.813) to 0.727 (95% CI: 0.616-0.837) (P < 0.01), with a continuous net reclassification improvement of 30.5% and an integrated discrimination improvement of 0.042 (P < 0.01) in the derivation cohort; and addition of the SHR showed superior discrimination and good calibration in the validation cohort.

CONCLUSIONS

The SHR is an independent predictor of long-term MACEs in ACS patients undergoing PCI and markedly improves the performance of the GRACE score.

Association of the triglyceride-glucose index with coronary artery disease complexity in patients with acute coronary syndrome

AIM

The triglyceride-glucose (TyG) index has been shown to be an independent predictor for the progression and prognosis of coronary artery disease (CAD). Whether the TyG index predicts the severity of CAD in patients presenting with acute coronary syndrome (ACS) remains unknown.

METHODS

A total of 1,007 individuals presenting with ACS undergoing coronary angiography were stratified according to the tertiles of the TyG index and The Synergy Between Percutaneous Coronary Intervention (SYNTAX) score (SYNTAX score ≤ 22 versus SYNTAX score > 22). CAD complexity was determined by the SYNTAX score.

RESULTS

After adjusting for multiple confounding factors, the TyG index was still an independent risk factor for mid/high SYNTAX scores (SYNTAX score > 22, OR 2.6452, 95% CI 1.9020-3.6786, P < 0.0001). Compared with the lowest tertile of the TyG (T1) group, the risk for a mid/high SYNTAX score in the T2 and T3 groups was 2.574-fold higher (OR, 2.574; 95% CI 1.610-4.112; P < 0.001) and 3.732-fold higher (OR, 3.732; 95% CI 2.330-5.975; P < 0.001), respectively. Furthermore, there was a dose‒response relationship between the TyG index and the risk of complicated CAD (SYNTAX score > 22; nonlinear P = 0.200). The risk for a mid/high SYNTAX score in the T2 and T3 groups was significantly higher in normoglycemia, prediabetes mellitus, and diabetes mellitus subgroups.

CONCLUSIONS

A higher TyG index was associated with the presence of a higher coronary anatomical complexity (SYNTAX score > 22) in ACS patients, irrespective of diabetes mellitus status. The TyG index might serve as a noninvasive predictor of CAD complexity in ACS patients and could potentially influence the management and therapeutic approach.

The stress hyperglycemia ratio improves the predictive ability of the GRACE score for in-hospital mortality in patients with acute myocardial infarction

BACKGROUND

The Global Registry of Acute Coronary Events (GRACE) score is a powerful tool used to predict in-hospital mortality after acute myocardial infarction (AMI) and does not include a glycometabolism-related index. We investigated whether the addition of the stress hyperglycemia ratio (SHR) provides incremental prognostic value in addition to the GRACE score.

METHODS

A retrospective cohort of 613 AMI patients was enrolled in the present analyses. The patients were stratified according to the primary endpoint (in-hospital mortality) and the tertiles of the SHR.

RESULTS

During hospitalization, 40 patients reached the primary endpoint, which was more frequently observed in patients with a higher SHR. The SHR, but not admission blood glucose (ABG), adjusted for the GRACE score independently predicted in-hospital mortality [odds ratio 2.5861; 95% confidence interval (CI), 1.3910-4.8080; P = 0.0027]. The adjustment of the GRACE score by the SHR improved the predictive ability for in-hospital death (an increase in the C-statistic value from 0.787 to 0.814; net reclassification improvement, 0.6717, 95% CI 0.3665-0.977, P < 0.01; integrated discrimination improvement, 0.028, 95% CI 0.0066-0.0493, P = 0.01028). The likelihood ratio test showed that the SHR significantly improved the prognostic models, including the GRACE score. Adding the SHR to the GRACE score presented a larger net benefit across the range of in-hospital mortality risk than the GRACE score alone.

CONCLUSION

The SHR, but not the ABG, is an independent predictor of in-hospital mortality after AMI even after adjusting for the GRACE score. The SHR improves the predictability and clinical usefulness of prognostic models containing the GRACE score.

Triglyceride-Glucose Index May Predict Renal Survival in Patients with IgA Nephropathy

Background: The triglyceride−glucose (TyG) index is a simple, novel and reliable surrogate marker of insulin resistance. However, evidence for the prognostic impact of an elevated TyG index on IgA nephropathy (IgAN) is limited. Therefore, we evaluated the relationship between the TyG index and the risk of renal progression in IgAN. Method: This cohort study involved biopsy-proven IgAN between January 2009 and December 2018 in West China Hospital, in which patients were assigned to two groups based on the cut-off value of TyG using receiver operating characteristic (ROC) curves. A 1:1 matched-pair analysis was established to optimize the bias in IgAN by propensity score matching (PSM). The TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. The composite endpoint was defined by eGFR decreased ≥50% of the baseline level, end-stage kidney disease (ESKD), renal transplantation and/or death. Univariable and multivariable Cox proportional hazard models were applied to confirm the predictive value of the optimal marker. Results: Before PSM, a total of 1210 participants were ultimately included. During a median follow-up period of 55.8 months (range 37.20−79.09 months), 129 participants progressed to the composite endpoint (10.7%). After PSM, 366 patients were enrolled in the matched cohort, of whom 34 (9.3%) patients reached the endpoints. Based on the cut-off value of the TyG index, patients were divided into the low TyG index group (TyG ≤ 8.72, n = 690) and the high TyG index group (TyG > 8.72, n = 520). Further analysis demonstrated that a higher TyG index was significantly associated with a higher risk of reaching composite endpoints in IgAN patients in both the unmatched and matched cohorts (before PSM: HR 2.509, 95% CI 1.396−4.511, p = 0.002; after PSM: HR 2.654, 95% CI 1.299−5.423, p = 0.007). Conclusion: A high TyG index is associated with a higher risk of renal progression.