Triglyceride-glucose index predicts adverse cardiovascular events in patients with diabetes and acute coronary syndrome.

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 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 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.

Triglyceride Glucose Index for Predicting Major Adverse Cardiovascular Events in Chinese Patients with Hypertension.

We conducted a longitudinal study (from February 2017 to July 2017) to explore whether the triglyceride glucose index (TyG) index has a prognostic value for major adverse cardiovascular events (MACE) among high-risk Chinese hypertensives. The study population were from 6 districts of Tianjin, China. Finally, a total of 2250 patients were enrolled in this 3.5 year cohort study. The patients were divided into two groups according to the cut-off value of the TyG index: Low-TyG group (n = 901, TyG ≤ 8.87), High-TyG group (n = 1349, TyG > 8.87). Univariate and multivariate Cox regression analyses were used to estimate the relationship between the TyG and MACE. In multivariate cox regression analyses, the hazard ratio (HR) (95% confidence interval (CI)) of the high-TyG group was 1.313 (1.010, 1.708) compared with the low-TyG group. In those with an age ≤65 years and male subgroups, the prediction value of TyG was higher, and the risk of occurrence of MACE greater after adjusting other risk factors. The TyG index is an indicator to predict the development of MACE in hypertensive patients.

Prognostic performance of multiple biomarkers in patients with acute coronary syndrome without standard cardiovascular risk factors.

Background and aims: Acute coronary syndrome (ACS) without standard modifiable cardiovascular risk factors (SMuRFs) represents a special case of ACS. Multiple biomarkers have been shown to improve risk stratification in patients with ACS. However, the utility of biomarkers for prognostic stratification in patients with ACS without SMuRFs remains uncertain. The aim of the present study was to evaluate the prognostic value of various biomarkers in patents with ACS without SMuRFs. Methods: Data of consecutive patients with ACS without SMuRFs who underwent coronary angiography in Tianjin Chest Hospital between January 2014 and December 2017 were retrospectively collected. The primary outcome was the occurrence of major adverse cardiovascular event (MACE), defined as a composite of cardiovascular death, myocardial infarction and stroke. Seven candidate biomarkers analyses were analyzed using models adjusted for established risk factors. Results: During a median 5-year follow-up, 81 of the 621 patients experienced a MACE. After adjustment for important covariates, elevated fibrinogen, D-dimer, N-terminal proB-type natriuretic peptide (NT-proBNP), and lipoprotein (a) [Lp(a)] were found to be individually associated with MACE. However, only D-dimer, NT-proBNP and Lp(a) significantly improved risk reclassification for MACE (all P < 0.05). The multimarker analysis showed that there was a clear increase in the risk of MACE with an increasing number of elevated biomarkers and a higher multimarker score. The adjusted hazard ratio- for MACE (95% confidential intervals) for patients with 4 elevated biomarkers was 6.008 (1.9650-18.367) relative to those without any elevated biomarker-. Adding- the 4 biomarkers or the multimarker score to the basic model significantly improved the C-statistic value, the net reclassification index and the integrated discrimination index (all P < 0.05). Conclusion: Fibrinogen, D-dimer, NT-proBNP and Lp(a) provided valuable prognostic information for MACE when applied to patients with ACS without SMuRFs. The multimarker strategy, which combined multiple biomarkers reflecting different pathophysiological process with traditional risk factors improved the cardiovascular risk stratification.

Correlation Between the Triglyceride-Glucose Index and High Risk of Cardiovascular Disease: A Cohort Study of 102,061 Subjects from Tianjin, China.

OBJECTIVE: This study aims to investigate the correlation between triglyceride-glucose index (TyG) and the risk of cardiovascular disease (CVD). METHODS: A total of 102,061 permanent residents of Tianjin, China, aged 35-75 years were surveyed. A questionnaire, physical examination, and blood tests for biochemical markers were conducted for all subjects. The risk of CVD was judged based on the results, identifying the population with a high risk of CVD. TyG was calculated for all subjects who were then grouped into TyG quartiles. The correlation between TyG and the detection rate of subjects with a high risk of CVD was analyzed using the chi-square test and Pearson's correlation analysis. The cut-off points and the magnitude of the predictive effect of TyG in determining a high risk of CVD were identified by calculating the TyG through analysis of the receiver operator characteristic (ROC) curve. RESULTS: The surveyed population consisted of 39,598 males (38.8%) and 62,463 females (61.2%). The average age was 55.84 ± 10.27 years. A statistically significant difference in the incidence of a high CVD risk between subjects in the four groups divided by the TyG levels was identified (p < 0.01). Pearson's correlation analysis showed that TyG was correlated with all risk factors for CVD (p < 0.01). The maximum Youden's J statistic for determining the high risk of CVD was found at a TyG of 9.04 (specificity 0.575, sensitivity 0.754). The area under the ROC curve was 0.780 (confidence interval [CI]: 0.777, 0.783, p < 0.01). CONCLUSION: TyG index is closely related to the aggregation of cardiovascular risk factors and is correlated with the judgment results of the screening population's high risk of CVD, suggesting that more attention should be paid to the identification and control of multiple risk factors in the population with significantly elevated TyG.

Predictive Value of the Triglyceride to High-Density Lipoprotein Cholesterol Ratio for All-Cause Mortality and Cardiovascular Death in Diabetic Patients With Coronary Artery Disease Treated With Statins.

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 < 0.001) and cardiovascular death (P < 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 > 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 < 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 < 0.001), and the NRI and IDI were 0.508 (95% CI: 0.335-0.680; P < 0.001) and 0.033 (95% CI: 0.015-0.050; P < 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.

Prognostic Significance of Preprocedural N-Terminal Pro-B-Type Natriuretic Peptide Assessment in Diabetic Patients With Multivessel Coronary Disease Undergoing Revascularization.

Background and Aims: The N-terminal pro-B-type natriuretic peptide (NT-proBNP) may predict adverse cardiovascular outcomes in patients with diabetes. However, its prognostic value in patients with multivessel disease (MVD) undergoing coronary revascularization remains unclear. This study aimed to evaluate the prognostic significance of preprocedural NT-proBNP levels in diabetic patients with MVD undergoing coronary revascularization. Methods: A total of 886 consecutive diabetic patients with MVD who underwent coronary revascularization were enrolled in this study. Patients were divided into quartiles according to their pre-procedural NT-proBNP levels. Kaplan-Meier curves and Cox regression analyses were performed to evaluate the risk of cardiovascular events, including all-cause death, cardiovascular death, myocardial infarction (MI), stroke, and major adverse cardiovascular events (MACE), according to the NT-proBNP quartiles. Results: During a median follow-up period of 4.2 years, 111 patients died (with 82 being caused by cardiovascular disease), 133 had MI, 55 suffered from stroke, and 250 experienced MACE. Kaplan-Meier curves demonstrated that NT-proBNP levels were significantly associated with higher incidences of all-cause death, cardiovascular death, MI, and MACE (log-rank test, P < 0.001, respectively). Multivariate Cox regression analysis revealed that NT-proBNP level was an independent predictor of adverse outcomes, including all-cause death (HR, 1.968; 95% CI, 1.377-2.812; P < 0.001), cardiovascular death (HR, 1.940; 95% CI, 1.278-2.945; P = 0.002), MI (HR, 1.722; 95% CI, 1.247-2.380; P = 0.001), and MACE (HR, 1.356; 95% CI, 1.066-1.725; P = 0.013). The role of NT-proBNP in predicting adverse outcomes was similar in patients with stable angina pectoris and acute coronary syndrome. Moreover, preprocedural NT-proBNP alone discriminated against the SYNTAX II score for predicting all-cause death [area under the curve (AUC), 0.662 vs. 0.626, P = 0.269], cardiovascular death (AUC, 0.680 vs. 0.622, P = 0.130), MI (AUC, 0.641 vs. 0.579, P = 0.050), and MACE (AUC, 0.593 vs. 0.559, P = 0.171). The addition of NT-proBNP to the SYNTAX II score showed a significant net reclassification improvement, integrated discrimination improvement, and improved C-statistic (all P < 0.05). Conclusion: NT-proBNP levels were an independent prognostic marker for adverse outcomes in diabetic patients with MVD undergoing coronary revascularization, suggesting that preprocedural NT-proBNP measurement might help in the risk stratification of high-risk patients.

Effect of Wnt6 on human dental papilla cells in vitro.

INTRODUCTION: The Wnt signaling pathway plays an important role in tissue development by acting on proliferation, differentiation, and cell fate decisions. Because the role of Wnt6 in tooth development was still unknown, the purpose of this study was to investigate the role of Wnt6 in tooth morphogenesis and dental tissue mineralization by elucidating its effect on human dental papilla cells (hDPCs) in vitro. METHODS: Human dental papilla cells were enzymatically separated from tooth germs. Recombinant adenovirus encoding full-length Wnt6 cDNA was constructed to overexpress Wnt6, and the biologic effects of Wnt6 on hDPCs were investigated. Wnt6-transduced changes in hDPC proliferation were examined by means of a 5-bromodeoxyuridine (BrdU) incorporation assay and cell cycle analysis. Wnt6-transduced changes in hDPC differentiation were investigated by evaluating alkaline phosphatase (ALPase) activity, by a mineralization assay, and analysis of mineralization-related gene expression including ALP, type I collagen (Col I), osteonectin (ON), osteopontin (OPN), bone sialoprotein (BSP), and dentin matrix protein-1 (DMP-1). RESULTS: Wnt6 overexpression had no significant effect on the proliferation of hDPCs by BrdU incorporation assay and flow cytometric analysis. Wnt6 enhanced differentiation of hDPCs into functional odontoblast-like cells with up-regulated activity of ALPase and the expression of mineralization-related genes such as ALP, Col I, ON, OPN, BSP, and DMP-1. Wnt6 overexpression also promoted the mineralization of hDPCs. CONCLUSIONS: Our findings verified that Wnt6 plays an important role in tooth development by promoting hDPC differentiation, without significant effects on hDPC proliferation.

Hepatocyte growth factor exerts promoting functions on murine dental papilla cells.

Hepatocyte growth factor (HGF) is a potent mitogenic and angiogenic factor involved in the development of many tissues including the teeth. We previously reported that dental pulp cells express the HGF receptor c-met and that HGF can enhance cell proliferation and differentiation. The purpose of this study was to determine whether HGF could stimulate proliferation and/or differentiation of murine dental papilla cells (MDPCs). MDPCs were isolated from neonatal mice, and the mitogenic potential of HGF on MDPCs was measured by 3-(4, 5-dimethyl-thyazol-2-yl)-2, 5-diphenyltetrazolium and flow cytometry. Differentiation of MDPCs in the presence of HGF was characterized by mineralization assay, alkaline phosphatase (ALP) activity and reverse-transcription polymerase chain reaction. We reported that MDPCs expressed both HGF and c-met and that HGF enhanced proliferation of MDPCs by concentrations ranging from 5 ng/mL to 20 ng/mL, with 10 ng/mL as the optimal concentration (p < 0.05). HGF prolonged S phase and shortened G1 phase of MDPCs, increased ALP activity significantly over the control (p < 0.05), and enhanced the formation of mineral nodules. ALP, dentin sialophosphoprotein, and dentin matrix protein-1 expression were significantly increased in the presence of HGF (p < 0.05), as were the expression of Msx1, Runx2, and Pax9. Our data suggest that HGF plays an important role in tooth development, by promoting the proliferation and differentiation of MDPCs.

[Effects of different sterilization methods on mechanical properties of dental fissure bureffects of different sterilization methods on mechanical properties of dental fissure bur].

OBJECTIVE: The purpose was to analyze the effects of three sterilization methods (dry heat sterilization, steam sterilization, and chemical sterilization) on the corrosion of dental fissure bur. METHODS: 200 dental fissure burs were distributed to 10 groups. Bending strength, elastic modulus, and torsional strength were measured by bending and torsional instrument and calculated with special designed software. Among the three sterilization methods, the steam sterilization group showed the most evident. RESULTS: The corrosion was most severe in steam sterilization group, followed by chemical sterilization, dry heat sterilization. With the sterilization time increased, bending strength, elastic modulus, and torsional strength decreased respectively. Of the three sterilization methods, the mechanical properties were decreased most evidently by steam sterilization, followed by chemical sterilization and dry heat sterilization. CONCLUSION: It is proved that the bending strength, elastic modulus and torsional strength have a tight relationship with the corrosion of dental fissure burs. The corrosion was most severe in steam sterilization group, followed by chemical sterilization, dry heat sterilization. In regards of the corrosive effect, the dry heat sterilization might be the best way to sterilize the dental fissure burs.