The relative and combined ability of stress hyperglycemia ratio and N-terminal pro-B-type natriuretic peptide to predict all-cause mortality in diabetic patients with multivessel coronary artery disease.

BACKGROUND: Stress hyperglycemia ratio (SHR) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) are independently associated with increased mortality risk in diabetic patients with coronary artery disease (CAD). However, the role of these biomarkers in patients with diabetes and multivessel disease (MVD) remains unknown. The present study aimed to assess the relative and combined abilities of these biomarkers to predict all-cause mortality in patients with diabetes and MVD. METHODS: This study included 1148 diabetic patients with MVD who underwent coronary angiography at Tianjin Chest Hospital between January 2016 and December 2016. The patients were divided into four groups according to their SHR (SHR-L and SHR-H) and NT-proBNP (NT-proBNP-L and NT-proBNP-H) levels. The primary outcome was all-cause mortality. Multivariate Cox regression analyses were performed to evaluate the association of SHR and NT-proBNP levels with all-cause mortality. RESULTS: During a mean 4.2 year follow-up, 138 patients died. Multivariate analysis showed that SHR and NT-proBNP were strong independent predictors of all-cause mortality in diabetic patients with MVD (SHR: HR hazard ratio [2.171; 95%CI 1.566-3.008; P < 0.001; NT-proBNP: HR: 1.005; 95%CI 1.001-1.009; P = 0.009). Compared to patients in the first (SHR-L and NT-proBNP-L) group, patients in the fourth (SHR-H and NT-proBNP-H) group had the highest mortality risk (HR: 12.244; 95%CI 5.828-25.721; P < 0.001). The areas under the curve were 0.615(SHR) and 0.699(NT-proBNP) for all-cause mortality. Adding either marker to the original models significantly improved the C-statistic and integrated discrimination improvement values (all P < 0.05). Moreover, combining SHR and NT-proBNP levels into the original model provided maximal prognostic information. CONCLUSIONS: SHR and NT-proBNP independently and jointly predicted all-cause mortality in diabetic patients with MVD, suggesting that strategies to improve risk stratification in these patients should incorporate SHR and NT-porBNP into risk algorithms.

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.

Association of D-dimer with long-term prognosis in type 2 diabetes mellitus patients with acute coronary syndrome.

BACKGROUND AND AIMS: Type 2 diabetes mellitus (DM) accounts for more and more individuals worldwide. D-dimer has been demonstrated to be associated with cardiovascular diseases. The aim is to study the potential impact of D-dimer on the long-term prognosis of acute coronary syndrome (ACS) in the special population with type 2 DM. METHODS AND RESULTS: A total of 2265 consecutive patients with DM and ACS were eligible in the study. Patients were divided into four groups according to quartiles of D-dimer concentration. Univariate and multivariate Cox regression analysis were conducted to explore the prognostic value of D-dimer for future outcomes. Patients with higher level of D-dimer presented with higher percentage of major adverse cardiovascular events (MACEs) (23.7%), all-cause death (18.3%) and cardiovascular (CV) death (9.4%) in Quartile 4. In multivariate Cox regression analysis, D-dimer was demonstrated to be independently associated with MACEs, all-cause death and CV death. The prognostic value of D-dimer is still significant in subgroups of HbA1C <7% and ≥7%. In Kaplan-Meier analysis, higher D-dimer showed poorer prognosis in MACEs, all-cause death and CV death (all log rank p < 0.001). The area under the curve (AUC) by receiver operating characteristic (ROC) curve analysis is 0.609 for MACEs, 0.708 for all-cause death, 0.747 for CV death (p < 0.001). CONCLUSION: The present study demonstrated the independent predictive value of D-dimer for outcomes in DM patients with ACS. In addition, for the first time, we explored the prognostic value in different glucose control status.

The de Winter electrocardiographic pattern evolves to ST elevation in acute total left main occlusion: A case series.

The de Winter electrocardiographic (ECG) pattern was characterized by upsloping ST-segment depressions, tall and positive symmetrical T waves in precordial leads. This rare ECG pattern was recognized as an indication of proximal left anterior descending artery occlusion. Less commonly, this ECG pattern was reported in association with occlusion of other coronary artery segments. We present three cases of the de Winter pattern associated with acute total left main occlusion. This pattern may evolve to ST elevation within hours of presentation. Widespread upsloping ST-segment depressions from V2 -V6 , centered on V5 were observed in these patients.

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.

Bivalirudin in patients undergoing percutaneous coronary intervention and independent predictors of postoperative adverse events in these patients: A real world retrospective study.

ABSTRACT: The efficacy and safety of bivalirudin in percutaneous coronary intervention (PCI) has always been a hot topic in perioperative antithrombotic therapy, but there are still some controversies. So studies are needed to provide more evidence, especially the real world study which includes patients excluded from previous RCT studys. Our study aimed to investigate these information and analyze the independent predictors of postoperative adverse events.A retrospective study enrolled 1416 patients underwent PCI in Tianjin Chest Hospital from May 2016 to October 2017. The incidence of stent-thrombosis and net clinical adverse events, including all-cause death, myocardial infarction, stroke, urgent target-vessel revascularization and bleeding, were followed up for 30 days and 1 year. Logistic regression and COX regression were respectively used to analyze independent predictors of bleeding events within 30-days, and independent predictors of Major adverse cardiovascular and cerebrovascular events (MACCE) in patients with stent implantation within 1-year.Seven hundred six patients were treated with bivalirudin while 710 with unfractionated heparin (UFH). The proportions of diabetes, hypertension, anemia, myocardial-infarction history, PCI history, moderate-to-severe renal-impairment, gastrointestinal-bleeding history in the bivalirudin group were significantly higher (P < .05). Women, anemia were independent risk factors for bleeding within 30-days (P < .05). Among 682 patients with stent implantation in bivalirudin group, anemia, Body Mass Index (BMI) >25 kg/m2, KILLIP ≥2, ejection fraction (EF) <45%, eGFR <60 ml/minutes were independent risk factors for MACCE, while Statins, proton pump inhibitor (PPI) were independent protective factors for MACCE with-in 1-year (P < .05).Bivalirudin have good anticoagulant effect and lower bleeding risk during PCI, especially in patients with higher bleeding risk. In patients treated with bivalirudin, female, anemia were independent predictors of bleeding within 30-days, BMI >25 kg/m2, anemia, KILLIP ≥2, EF <45%, eGFR <60 ml/minutes were independent risk factors and Statins, PPI were independent protective factors of MACCE within 1-year.

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.

Effect of cyclosporin A intervention on the immunological mechanisms of coronary heart disease and restenosis.

The present study aimed to investigate the effect of cyclosporin A (CSA) intervention on the immunological mechanisms underlying coronary heart disease (CHD) and restenosis (RS) in rabbits. A total of 48 rabbits were randomly divided into normal control (N), N + CSA, CHD model, CHD + CSA, RS model and RS + CSA groups. Rabbits in the respective groups received different treatments prior to sacrifice at the end of week 12. Iliac arteries were harvested from the rabbits for morphological analysis and to determine the mRNA and protein expression levels of cluster of differentiation (CD) 40/CD40 ligand (CD40L), CD134/CD134 ligand (CD134L) and inflammatory factors, including matrix metalloproteinase (MMP)-1, MMP-9, vascular cell adhesion protein (VCAM)-1, interleukin (IL)-6 and tumor necrosis factor (TNF)-α, by reverse transcription-quantitative polymerase chain reaction and immunohistochemical staining. As compared with the N group, the mRNA expression levels of MMP-9, VCAM-1 and TNF-α were significantly increased in the CHD and RS groups (P<0.05), but were significantly decreased in the groups with CSA intervention, as compared with those without CSA intervention (P<0.05). Conversely, there were no significant differences in the expression levels of MMP-1 and IL-6 among the six groups, although a decreasing trend of IL-6 expression was observed following intervention with CSA. Furthermore, there were significant differences in the mRNA and protein expression levels of CD40/CD40L and CD134/CD134L among the N, CHD and RS groups (P<0.05), and between the groups with and without CSA intervention. The present study demonstrated that CSA intervention exerted beneficial effects on CHD and RS, and further studies are required to investigate the mechanisms underlying the effects of CSA on CHD.