Metabolic score for insulin resistance predicts major adverse cardiovascular event in premature coronary artery disease.

BACKGROUND: The Metabolic Score for Insulin Resistance (METS-IR) index serves as a simple surrogate marker for insulin resistance (IR) and is associated with the presence and severity of coronary artery disease (CAD). However, the prognostic significance of METS-IR in patients with premature CAD remains unclear. This study aims to investigate the prognostic value of METS-IR in premature CAD. METHODS: This retrospective study included 582 patients diagnosed with premature CAD between December 2012 and July 2019. The median follow-up duration was 63 months (interquartile range, 44-81 months). The primary endpoint was Major Adverse Cardiovascular Events (MACE), defined as a composite of all-cause death, non-fatal myocardial infarction (MI), repeat coronary artery revascularization, and non-fatal stroke. RESULTS: Patients with MACE had significantly higher METS-IR levels than those without MACE (44.88±8.11 vs. 41.68±6.87, p<0.001). Kaplan-Meier survival curves based on METS-IR tertiles demonstrated a statistically significant difference (log-rank test, p<0.001). In the fully adjusted model, the Hazard Ratio (95% CI) for MACE was 1.41 (1.16-1.72) per SD increase in METS-IR, and the P for trend based on METS-IR tertiles was 0.001 for MACE. Time-dependent Receiver Operator Characteristic (ROC) analysis of METS-IR yielded an Area Under the Curve (AUC) of 0.74 at 2 years, 0.69 at 4 years, and 0.63 at 6 years. CONCLUSIONS: METS-IR serves as a reliable prognostic predictor of MACE in patients with premature CAD. Therefore, METS-IR may be considered a novel, cost-effective, and dependable indicator for risk stratification and early intervention in premature CAD.

Comparison of seven surrogate insulin resistance indexes for prediction of incident coronary heart disease risk: a 10-year prospective cohort study.

Background: There were seven novel and easily accessed insulin resistance (IR) surrogates established, including the Chinese visceral adiposity index (CVAI), the visceral adiposity index (VAI), lipid accumulation product (LAP), triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC) and TyG-waist to height ratio (TyG-WHtR). We aimed to explore the association between the seven IR surrogates and incident coronary heart disease (CHD), and to compare their predictive powers among Chinese population. Methods: This is a 10-year prospective cohort study conducted in China including 6393 participants without cardiovascular disease (CVD) at baseline. We developed Cox regression analyses to examine the association of IR surrogates with CHD (hazard ratio [HR], 95% confidence intervals [CI]). Moreover, the receiver operating characteristic (ROC) curve was performed to compare the predictive values of these indexes for incident CHD by the areas under the ROC curve (AUC). Results: During a median follow-up period of 10.25 years, 246 individuals newly developed CHD. Significant associations of the IR surrogates (excepted for VAI) with incident CHD were found in our study after fully adjustment, and the fifth quintile HRs (95% CIs) for incident CHD were respectively 2.055(1.216-3.473), 1.446(0.948-2.205), 1.753(1.099-2.795), 2.013(1.214-3.339), 3.169(1.926-5.214), 2.275(1.391-3.719) and 2.309(1.419-3.759) for CVAI, VAI, LAP, TyG, TyG-BMI, TyG-WC and TyG-WHtR, compared with quintile 1. Furthermore, CVAI showed maximum predictive capacity for CHD among these seven IR surrogates with the largest AUC: 0.632(0.597,0.667). Conclusion: The seven IR surrogates (excepted for VAI) were independently associated with higher prevalence of CHD, among which CVAI is the most powerful predictor for CHD incidence in Chinese populations.

Prevalence, characteristics and significant predictors for cardiovascular disease of patients with preserved ratio impaired spirometry: A 10-year prospective cohort study in China.

BACKGROUND AND OBJECTIVE: Patients with preserved ratio impaired spirometry (PRIsm) have higher incidence rate of cardiovascular disease (CVD). However, few studies focused on PRIsm in China. We determined the prevalence and characteristics of patients with PRIsm in Chinese population. We also aimed to investigate the significant predictive factors of CVD in PRIsm patients. METHODS: In total, 6994 subjects aged from 35 to 70 years old and free of CVD at baseline were categorized into normal (n = 3895), PRIsm (the ratio of forced expired volume in the first second (FEV1) to forced vital capacity (FVC) ≥0.7 and FEV1 <80 % predicted; n = 1997) and obstructive spirometry (FEV1:FVC<0.7; n = 1102). Cox proportional hazards multivariable regression was performed to investigate how baseline characteristics impact CVD incidence. RESULTS: In participants with PRIsm, men had a 0.68-fold higher risk of CVD incidence than women (HR, 1.68; 95%CI, 1.09-2.59; p = 0.020). Our study showed that the rate of CVD incidence increased by 6.0 % with every year's increase in age (HR, 1.06; 95%CI, 1.04-1.09; p < 0.001). A 0.1 increase in FEV1/FVC was significantly associated with a 23.0 % decrease in CVD incidence (HR, 0.77; 95%CI, 0.61-0.97; p = 0.028). Family history of CVD greatly increased the risk of cardiovascular disease incidence (HR, 1.83; 95%CI, 1.18-2.83; p = 0.007). Higher BMI was also a significant risk factor of CVD incidence (HR, 1.06; 95%CI, 1.01-1.10; p = 0.013). CONCLUSION: The prevalence of PRIsm in China was high. PRIsm subjects should be monitored carefully, especially for the older, male, those with higher BMI, lower FEV1/FVC and family history of CVD.

Combination of the triglyceride-glucose index and EuroSCORE II improves the prediction of long-term adverse outcomes in patients undergoing coronary artery bypass grafting.

AIMS: We aimed to investigate the independent and combined association of the triglyceride-glucose (TyG) index and EuroSCORE II with major adverse cardiovascular event (MACE) after coronary artery bypass grafting (CABG), and examine whether the addition of the TyG index improves the predictive performance of the EuroSCORE II. MATERIALS AND METHODS: This study included 1013 patients who underwent CABG. The primary endpoint was MACE, which was defined as the composite of all-cause death, repeat coronary artery revascularisation, non-fatal myocardial infarction and non-fatal stroke. The patients were grouped by the TyG index and EuroSCORE II tertiles and the combination of these risk indicators. RESULTS: During the follow-up, 211 individuals developed MACE. Elevated levels of the TyG index and EuroSCORE II were associated with an increased risk of MACE. The hazard ratio [95% confidence interval (CI)] was 3.66 (2.34-5.73) in patients with the highest tertile of the TyG index and EuroSCORE II. Compared with the EuroSCORE II alone, combining the TyG index with EuroSCORE II achieved a better predictive performance [C-statistic increased 0.032, p < 0.001; continuous net reclassification improvement (NRI) (95% CI): 0.364 (0.215-0.514), p < 0.001; integrated discrimination improvement (IDI) (95% CI): 0.015 (0.007-0.023), p < 0.001, Akaike's information criteria (AIC) and Bayesian information criterion (BIC) decreased, and the likelihood ratio test, p < 0.001]. CONCLUSIONS: The TyG index and EuroSCORE II are independently associated with poor prognosis. Furthermore, the TyG index is an important adjunct to the EuroSCORE II for improving risk stratification and guiding early intervention among post-CABG patients.

Triglyceride-glucose index in the prediction of adverse cardiovascular events in patients without diabetes mellitus after coronary artery bypass grafting: a multicenter retrospective cohort study.

BACKGROUND: The triglyceride-glucose (TyG) index has been evaluated as a reliable surrogate for insulin resistance (IR) and has been proven to be a predictor of poor outcomes in patients with cardiovascular diseases. However, data are lacking on the relationship of the TyG index with prognosis in nondiabetic patients who underwent coronary artery bypass grafting (CABG). Thus, the purpose of our current study was to investigate the potential value of the TyG index as a prognostic indicator in patients without diabetes mellitus (DM) after CABG. METHODS: This multicenter, retrospective cohort study involving 830 nondiabetic patients after CABG from 3 tertiary public hospitals from 2014 to 2018. Kaplan-Meier survival curve analysis was conducted followed by the log-rank test. Cox proportional hazards regression models were used to explore the association between the TyG index and major adverse cardiovascular events (MACEs). The incremental predictive power of the TyG index was evaluated with C-statistics, continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI). RESULTS: An incrementally higher TyG index was associated with an increasingly higher cumulative incidence of MACEs (log-rank test, p < 0.001). The hazard ratio (95% CI) of MACEs was 2.22 (1.46-3.38) in tertile 3 of the TyG index and 1.38 (1.18-1.62) per SD increase in the TyG index. The addition of the TyG index yielded a significant improvement in the global performance of the baseline model [C-statistic increased from 0.656 to 0.680, p < 0.001; continuous NRI (95% CI) 0.269 (0.100-0.438), p = 0.002; IDI (95% CI) 0.014 (0.003-0.025), p = 0.014]. CONCLUSIONS: The TyG index may be an independent factor for predicting adverse cardiovascular events in nondiabetic patients after CABG.

Plasma junctional adhesion molecule C levels are associated with the presence and severity of coronary artery disease.

BACKGROUND: Junctional adhesion molecule C (JAM-C) is a novel cell adhesion molecule that belongs to the immunoglobulin superfamily. Previous studies have demonstrated the up-regulation of JAM-C in atherosclerotic vessels in human and in spontaneous early lesions of apoe-/- mice. However, insufficient research is currently available on the association of plasma JAM-C levels with the presence and severity of coronary artery disease (CAD). OBJECTIVES: To explore the relationship between plasma JAM-C levels and CAD. DESIGN AND METHODS: Plasma JAM-C levels were examined in 226 patients who underwent coronary angiography. Unadjusted and adjusted associations were assessed using logistic regression models. ROC curves were generated to examine the predictive performance of JAM-C. C-statistics, continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were obtained to assess the incremental predictive value of JAM-C. RESULTS: Plasma JAM-C levels were significantly higher in patients with CAD and high GS. Multivariate logistic regression analysis showed that JAM-C was independent predictor for the presence and severity of CAD [adjusted OR (95% CI): 2.04(1.28-3.26) and 2.81 (2.02-3.91), respectively]. The optimal cutoff value of plasma JAM-C levels for predicting the presence and severity of CAD was 98.26 pg/ml and 122.48 pg/ml, respectively. Adding JAM-C to the baseline model improved the global performance of the model [C-statistic increased from 0.853 to 0.872, p = 0.171; continuous NRI (95% CI): 0.522 (0.242-0.802), p < 0.001; IDI (95% CI): 0.042 (0.009-0.076), p = 0.014]. CONCLUSIONS: Our data showed that plasma JAM-C levels are associated with the presence and severity of CAD, suggesting that JAM-C may be a useful marker for the prevention and management of CAD.

The synergistic effect of the triglyceride-glucose index and serum uric acid on the prediction of major adverse cardiovascular events after coronary artery bypass grafting: a multicenter retrospective cohort study.

BACKGROUND: Elevated serum uric acid (SUA) is regarded as a risk factor for the development of cardiovascular diseases. Triglyceride-glucose (TyG) index, a novel surrogate for insulin resistance (IR), has been proven to be an independent predictor for adverse cardiac events. However, no study has specifically focused on the interaction between the two metabolic risk factors. Whether combining the TyG index and SUA could achieve more accurate prognostic prediction in patients undergoing coronary artery bypass grafting (CABG) remains unknown. METHODS: This was a multicenter, retrospective cohort study. A total of 1225 patients who underwent CABG were included in the final analysis. The patients were grouped based on the cut-off value of the TyG index and the sex-specific criteria of hyperuricemia (HUA). Cox regression analysis was conducted. The interaction between the TyG index and SUA was estimated using relative excess risk due to interaction (RERI), attributable proportion (AP), and synergy index (SI). The improvement of model performance yielded by the inclusion of the TyG index and SUA was examined by C-statistics, net reclassification improvement (NRI) and integrated discrimination improvement (IDI). The goodness-of-fit of models was evaluated using the Akaike information criterion (AIC), Bayesian information criterion (BIC) and χ2 likelihood ratio test. RESULTS: During follow-up, 263 patients developed major adverse cardiovascular events (MACE). The independent and joint associations of the TyG index and SUA with adverse events were significant. Patients with higher TyG index and HUA were at higher risk of MACE (Kaplan-Meier analysis: log-rank P < 0.001; Cox regression: HR = 4.10; 95% CI 2.80-6.00, P < 0.001). A significant synergistic interaction was found between the TyG index and SUA [RERI (95% CI): 1.83 (0.32-3.34), P = 0.017; AP (95% CI): 0.41 (0.17-0.66), P = 0.001; SI (95% CI): 2.13 (1.13-4.00), P = 0.019]. The addition of the TyG index and SUA yielded a significant improvement in prognostic prediction and model fit [change in C-statistic: 0.038, P < 0.001; continuous NRI (95% CI): 0.336 (0.201-0.471), P < 0.001; IDI (95% CI): 0.031 (0.019-0.044), P < 0.001; AIC: 3534.29; BIC: 3616.45; likelihood ratio test: P < 0.001). CONCLUSIONS: The TyG index interacts synergistically with SUA to increase the risk of MACE in patients undergoing CABG, which emphasizes the need to use both measures concurrently when assessing cardiovascular risk.

Reduced peak expiratory flow predicts increased risk of cardiovascular disease: A 10-year prospective cohort study in Eastern China.

BACKGROUND: The correlation between impaired lung function and cardiovascular diseases (CVD) has attracted more and more attention. We aimed to assess the longitudinal association between decreased peak expiratory flow (PEF) and cardiovascular risk among Eastern Chinese general population. METHODS: In total, 6295 participants aged>30 years and free of CVD at baseline were followed for up to 10 years in Eastern China. The adjusted hazard ratios (HRs) for CVD and mortality associated with decreased PEF were analyzed. RESULTS: Among all participants, 421 CVD incident events were reported during 10-year follow-up, and a total of 272 participants died during the follow-up period, 94 of them from CVD. The HRs in the lowest group of PEF (PEF ≤218.33 L/min) were 1.31 (95% confidence interval [CI]:1.01 to 1.68) for high CVD incidence (172 vs 116), 2.43 (95% CI:1.72 to 3.42) for all-cause mortality (156 vs 48), and 3.94 (95% CI:1.96 to 7.92) for CVD mortality (59 vs 10) when compared with the highest group (PEF ≥321.68 L/min). CONCLUSION: The decreased PEF was associated with increased CVD incidence, CVD and all-cause mortality in Eastern Chinese general population.

Association of triglyceride-glucose index and traditional risk factors with cardiovascular disease among non-diabetic population: a 10-year prospective cohort study.

BACKGROUND: The triglyceride-glucose (TyG) index is known as a reliable alternative marker of insulin resistance (IR), which has been regarded as a predictor of cardiovascular disease (CVD). However, whether TyG index can predict the risk and occurrence of CVD in non-diabetic population remains uncertain. The aim of this study was to explore the association between the TyG index and cardiovascular risk factors and to clarify the prognostic value of the TyG index for CVD, coronary heart disease (CHD) and stroke in non-diabetic general population in Eastern China. METHODS: A total of 6095 cases without diagnosed diabetes and CVD were included. The TyG index was calculated as ln (fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2) and the participants were divided into 4 groups according to the TyG index quartiles (Q1, Q2, Q3, Q4). The primary outcome was CVD, including CHD and stroke. Cox proportional hazards regression analysis was used to investigate the association between the TyG index and the risk of CVD. RESULTS: During the 10-year follow-up, 357 (5.9%) participants of CVD, 224 (3.7%) participants of CHD and 151 (2.5%) participants of stroke were observed. The incidence of CVD increased with the TyG index quartiles. Multivariate Cox regression analysis showed that the hazard ratios [95% confidence interval (CI)] in Q4 group were respectively 1.484 (1.074-2.051) for CVD, 1.687 (1.105-2.575) for CHD and 1.402 (0.853-2.305) for stroke compared to Q1 group. Moreover, adding the TyG index to models with traditional risk factors yielded a significant improvement in discrimination and reclassification of incident CVD and CHD. CONCLUSIONS: The TyG index is associated with cardiovascular risk factors and can be used as a useful, low-cost predictive marker for CVD and CHD risk in non-diabetic population.

Comparison of three non-insulin-based insulin resistance indexes in predicting the presence and severity of coronary artery disease.

Background: Insulin resistance (IR) has emerged as a risk factor for coronary heart disease (CAD), but there is currently insufficient data on the association of non-insulin-based IR indexes [triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C) ratio, triglyceride and glucose (TyG) index, and metabolic score for IR (METS-IR)] with the presence and severity of CAD. Thus, the present study aimed to examine the relationship between these three non-insulin-based IR indexes and CAD, as well as to further compare the predictive values of each index. Materials and methods: In total, 802 consecutive patients who underwent coronary angiography for suspected CAD from January 2016 to April 2017 were included in this study and were divided into the control group (n = 149) and CAD group (n = 653) according to the angiography results. The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, triglyceride and glucose index (TyG index), and METS-IR were calculated according to the corresponding formulas. The severity of CAD was evaluated using the Gensini score (GS). The relationship of the TG/HDL-C ratio, TyG index, and METS-IR with CAD was analyzed, and the predictive values of the indexes were compared. Results: The TG/HDL-C ratio, TyG index, and METS-IR in the CAD group were significantly higher than those in the control group. The TG/HDL-C ratio and METS-IR in the high GS group were significantly higher than those in the non-high GS group. Multivariate logistic regression analysis showed that the TG/HDL-C ratio and METS-IR were independent predictors for the presence of CAD {adjusted odds ratio (OR) [95% confidence interval (CI)]: 1.32 (1.02-1.70) and 1.65 (1.32-2.05), respectively}, whereas only the METS-IR was an independent predictor of the severity of CAD [adjusted OR (95% CI): 1.22 (1.02-1.47)]. Further subgroup analysis indicated that statistical significance was observed only among men, younger patients (≤ 60), and patients with prediabetes mellitus (PDM). Receiver operator characteristic (ROC) analysis showed that the METS-IR had the highest predictive value for the prediction of both the presence and severity of CAD. Conclusion: The TG/HDL-C ratio, TyG index, and METS-IR are valuable predictors of the presence and severity of CAD, and the METS-IR has the highest predictive value among the three non-insulin-based IR indexes.

Triglyceride-glucose index in the prediction of adverse cardiovascular events in patients with premature coronary artery disease: a retrospective cohort study.

BACKGROUND: Premature coronary artery disease (PCAD) has become more common in recent years and is often associated with poor outcomes. Triglyceride-glucose (TyG) index is a simple and reliable surrogate for insulin resistance (IR) and is an independent predictor of cardiovascular prognosis. However, the prognostic value of the TyG index in patients with PCAD remains uncertain. Thus, this study aimed to investigate the prognostic value and predictive performance of the TyG index in patients with PCAD. METHODS: A total of 526 young subjects (male < 45 years, female < 55 years) with angiographically proven CAD from January 2013 to December 2018 were included consecutively in this study. Their clinical and laboratory parameters were collected, and the TyG index was calculated as [Formula: see text]. The follow-up time after discharge was 40-112 months (median, 68 months; interquartile range, 49‒83 months). The primary endpoint was the occurrence of the major adverse cardiovascular events (MACE), defined as the composite of all-cause death, non-fatal myocardial infarction (MI), coronary artery revascularization, and non-fatal stroke. RESULTS: The TyG index was significantly associated with traditional cardiovascular risk factors and the Gensini score (GS). Kaplan-Meier survival (MACE-free) curves by tertiles of the TyG index showed statistically significant differences (log-rank test, p = 0.001). In the fully adjusted Cox regression model, the Hazard ratio (95% CI) of MACE was 2.17 (1.15-4.06) in tertile 3 and 1.45 (1.11-1.91) for per SD increase in the TyG index. Time-dependent ROC analyses of the TyG for prediction of MACE showed the area under the curves (AUC) reached 0.631 at 3 years, 0.643 at 6 years, and 0.710 at 9 years. Furthermore, adding TyG index to existing risk prediction model could improve outcome prediction [C-statistic increased from 0.715 to 0.719, p = 0.007; continuous net reclassification improvement (NRI) = 0.101, p = 0.362; integrated discrimination improvement (IDI) = 0.011, p = 0.017]. CONCLUSION: The TyG index is an independent predictor of MACE in patients with PCAD, suggesting that the TyG index has important clinical implications for risk stratification and early intervention of PCAD.