Background: The triglyceride-glucose index (TyG index) has been regarded as a reliable alternative marker of insulin resistance and an independent predictor of cardiovascular outcomes. Whether the TyG index predicts adverse cardiovascular events in patients with diabetes and acute coronary syndrome (ACS) remains uncertain. The aim of this study was to investigate the prognostic value of the TyG index in patients with diabetes and ACS. Methods: A total of 2531 consecutive patients with diabetes who underwent coronary angiography for ACS were enrolled in this study. Patients were divided into tertiles according to their TyG index. The primary outcomes included the occurrence of major adverse cardiovascular events (MACEs), defined as all-cause death, non-fatal myocardial infarction and non-fatal stroke. The TyG index was calculated as the ln (fasting triglyceride level [mg/dL] × fasting glucose level [mg/dL]/2). Results: The incidence of MACE increased with TyG index tertiles at a 3-year follow-up. The Kaplan-Meier curves showed significant differences in event-free survival rates among TyG index tertiles (P = 0.005). Multivariate Cox hazards regression analysis revealed that the TyG index was an independent predictor of MACE (95% CI 1.201-1.746; P < 0.001). The optimal TyG index cutoff for predicting MACE was 9.323 (sensitivity 46.0%; specificity 63.6%; area under the curve 0.560; P = 0.001). Furthermore, adding the TyG index to the prognostic model for MACE improved the C-statistic value (P = 0.010), the integrated discrimination improvement value (P = 0.001) and the net reclassification improvement value (P = 0.019). Conclusions: The TyG index predicts future MACE in patients with diabetes and ACS independently of known cardiovascular risk factors, suggesting that the TyG index may be a useful marker for risk stratification and prognosis in patients with diabetes and ACS.

Background: Triglyceride-glucose index (TyG index) has been regarded as a reliable alternative marker of insulin resistance and an independent predictor of cardiovascular outcomes. Whether TyG index predicts adverse cardiovascular events in patients with diabetes and acute coronary syndrome (ACS) remains uncertain. The aim of the present study was to investigate the prognostic value of TyG index in patients with diabetes and ACS.Methods: A total of 2531 consecutive patients with diabetes who underwent coronary angiography for ACS were enrolled in the study. Patients were divided into 3 tertiles according to TyG index. The primary outcomes included the occurrence of major adverse cardiovascular events (MACE), defined as all-cause death, non-fatal myocardial infarction and non-fatal stroke. The TyG index was calculated as ln (fasting triglyceride level (mg/dL) ×fasting glucose level (mg/dL)/2).Results: The incidence of MACE increased with TyG index tertiles after 3-year follow-up. Kaplan-Meier curves showed significant differences in event-free survival rates among TyG index tertiles (P=0.005).Multivariate Cox hazards regression analysis revealed that TyG index was an independent predictor of MACE (95% CI 1.201-1.746; P<0.001). The optimal TyG index cut-off for predicting MACE was 9.323 (sensitivity 46.0% ; specificity 63.6%; area under the curve 0.560; P=0.001 ).Furthermore, adding TyG index to the prognostic model for MACE improved the C-statistic value (P=0.010), the integrated discrimination improvement value(P=0.001) and the net reclassification improvement value(P=0.019).Conclusions TyG index predicts future recurrent cardiovascular events in patients with diabetes and ACS, independently of known cardiovascular risk factors suggesting that TyG index may be a useful marker for risk stratification and prognosis in patients with diabetes and ACS.

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Background and Aims: Studies have highlighted the role of the triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio on subsequent cardiovascular events. However, the association of the TG/HDL-C ratio with survival outcomes in diabetic patients with coronary artery disease (CAD) treated with statins remains unknown. This study aimed to assess the predictive value of the TG/HDL-C ratio for all-cause mortality and cardiovascular death in diabetic patients with CAD treated with statins.Methods: The data of patients with type 2 diabetes and angiographically-confirmed CAD who were undergoing statin therapy and visited Tianjin Chest Hospital between January 2016 and September 2016 were retrospectively collected. The patients were categorized based on the baseline TG/HDL-C ratio tertile. Kaplan-Meier analysis and multivariate Cox proportional hazard regression were applied to assess the role of the TG/HDL-C ratio in predicting all-cause mortality and cardiovascular death.Results: A total of 2,080 patients were included. During the 4-year follow-up, 209 patients died, 136 of whom from cardiovascular death. The Kaplan-Meier analyses showed that an increased TG/HDL-C ratio was associated with an increased risk of all-cause mortality (P &lt; 0.001) and cardiovascular death (P &lt; 0.001). The multivariate cox hazard regression analysis revealed a similar effect of the TG/HDL-C ratio on the risk of all-cause mortality (P = 0.046) and cardiovascular death (P = 0.009). The role of the TG/HDL-C ratio in predicting all-cause mortality and cardiovascular death was similar among all subgroups (P &gt; 0.050). For all-cause mortality, the TG/HDL-C ratio significantly improved the C-statistic from 0.799 to 0.812 (P = 0.018), and the net reclassification index (NRI) and integrated discrimination index (IDI) were 0.252 (95% CI: 0.112–0.392; P &lt; 0.001) and 0.012 (95% CI: 0.003–0.022; P = 0.012), respectively. Similarly, for cardiovascular death, the TG/HDL-C ratio significantly improved the C-statistic from 0.771 to 0.804 (P &lt; 0.001), and the NRI and IDI were 0.508 (95% CI: 0.335–0.680; P &lt; 0.001) and 0.033 (95% CI: 0.015–0.050; P &lt; 0.001).Conclusion: TG/HDL-C ratio might be useful for predicting all-cause mortality and cardiovascular death in diabetic patients with CAD treated with statins.

ObjectivesOver the past decade, the incidence and global burden of coronary heart disease (CHD) have increased in the young population. We aimed to identify patient characteristics and risk factors for premature CHD, including single-vessel disease (SVD) and multivessel disease (MVD).DesignRetrospective, cross-sectional study.SettingDemographic and clinical data of patients with CHD were collected from the patient medical records of a tertiary hospital in Tianjin, China, between 2014 and 2017.ParticipantsA total of 2846 patients were enrolled in the study.Primary and secondary outcome measuresPremature CHD, which is the primary outcome, was defined as men<45 years and women<55 years. MVD, which is the secondary outcome, was defined as at least two vessels with ≥50% stenosis. Logistic regression models were applied to analyse the characteristics and risk factors of premature CHD and MVD.ResultsMost of the characteristics between patients with premature and mature CHD were not statistically significant. A significantly higher dyslipidaemia prevalence was found in female patients with premature CHD (OR=1.412, 95% CI: 1.029 to 1.936). In the crude model, instead of premature SVD, premature (OR=2.065, 95% CI: 1.426 to 2.991) or mature (OR=1.837, 95% CI: 1.104 to 3.056) MVD was more common in female patients with the highest triglyceride–glucose (TyG) index quartile than those with the lowest TyG index quartile. In male patients, the same trend was observed for mature MVD (OR=2.272, 95% CI: 1.312 to 3.937). The significance of the TyG index was not revealed in multivariate analyses; however, hypertension, diabetes, obesity, smoking, old myocardial infarction and lipoprotein (a) showed a positive association with MVD.ConclusionsDyslipidaemia should be considered as an effective factor for the prediction and prevention of premature CHD in women. The TyG index can be a simple auxiliary indicator that can be used in population-based cardiovascular disease screening for the early identification of vascular disease severity.

Background: Data on the association of subclinical hypothyroidism (SCH) with the severity of coronary artery disease and major adverse cardiovascular and cerebral events (MACCE) in patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS) after percutaneous coronary intervention (PCI) are limited and conflicting. Objective: We established the baseline rate of SCH and followed the trajectory of thyroid-stimulating hormone (TSH) values during and after hospitalisation for PCI for up to six months and determined whether persistent SCH was associated with the severity of coronary artery disease and MACCE in patients with NSTE-ACS after PCI. Design: Population-based prospective cohort study. Patients: We included patients with NSTE-ACS who underwent PCI with simple balloon angioplasty or stent implantation for coronary heart disease. Measurements: Thyroid function tests of patients before PCI and 1 day, 1 week, 1 and 6 months after PCI were performed. Cases showing transient SCH were excluded. Patients were divided into two groups based on the results of four TSH tests: 0.27-4.2 mIU/L (n = 1472, 89.7%) and >4.2 mIU/L (n = 170, 10.4%). The risk factors for the severity of coronary artery lesions were estimated using multinomial logistic regression analysis. Univariate and multivariate Cox regression analyses were used to study the relationship between TSH and MACCE.Results: Among 1642 patients, there were 1070 males (65.2%) and 572 females (34.8%), with an average age of 62.5 ± 9.6 years. SCH patients had a wider range of diseased vessels and a higher number of diseased vessels (p < .05). TSH level was an

Little is known about the association between lipoprotein(a) [Lp(a)] levels and future ischemic cardiovascular events in patients with premature acute coronary syndrome (ACS). A total of 1464 consecutive patients who underwent coronary angiography for premature ACS (males <45 years and females <55 years) were enrolled in this study. Patients were divided into quartiles according to serum Lp(a) levels (Q1: ≤11.1 nmol/L; Q2: 11.1-27.7 nmol/L; Q3: 27.7-79.3 nmol/L; and Q4: >79.3 nmol/L). Major adverse cardiovascular events (MACEs) increased with Lp(a) quartiles after 2-year follow-up (among quartiles, respectively; P = .001). Kaplan-Meier curves revealed significant differences in event-free survival rates among Lp(a) quartile groups ( P = .001). Multivariate Cox proportional hazards regression analysis indicated that serum Lp(a) level was an independent predictor of MACE either as a continuous variable (hazard ratio [HR]: 1.002, 95% confidence interval [CI]: 1.001-1.004; P = .009) or as a categorical variable (HR: 1.443, 95% CI: 1.074-1.937; P = .015). Furthermore, Lp(a) levels (as a variable) significantly improved the prognostic value for MACE. These findings suggest that Lp(a) measurement has value for cardiovascular risk stratification in patients with premature ACS.

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