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Background: The relationship between non-fasting remnant cholesterol and cardiovascular outcome in the era of potent statin therapy remained to be elucidated., Methods: A cohort study of three hundred and twenty eight diabetics diagnosed with new-onset stable coronary artery disease (CAD) by coronary angiography were enrolled. All cases were followed up for an average duration of twelve months. The association between baseline remnant cholesterol levels and major cardiovascular outcomes were evaluated using the receivers operating characteristic (ROC) curves and Cox proportional hazards regression analysis., Results: During a period of 12-month's follow-up, 14.3% patients (47/328) underwent pre-specified adverse outcomes. The remnant cholesterol associated with high sensitivity C-reactive protein, neutrophil count and fibrinogen (R 2  = 0.20, 0.12 and 0.14; P = 0.000, 0.036 and 0.010 respectively). Area under the ROC curves (AUC) indicated discriminatory power of the remnant cholesterol to predict the adverse outcomes for this population (AUC = 0.64, P < 0.005). Kaplan-Meier curve suggested that the lower levels of remnant cholesterol showed relatively lower cardiac events for diabetic patients with stable CAD (Log rank X 2  = 8.94, P = 0.04). However, according to multivariate Cox proportional hazards regression, apart from hemoglobin A1C (Hazard ratio [H.R.] =1.38, 95% CI: 1.14-1.66, P = 0.001) and Gensini scores (H.R. = 1.00, 95% CI: 1.00-1.02; P = 0.035), remnant cholesterol did not qualify as an independent predictor of adverse prognosis in these settings (H.R. = 1.05, 95% CI: 0.46-2.37, P = 0.909)., Conclusions: Non-fasting remnant cholesterol was associated with inflammatory biomarkers and high incidence of revascularization, but not qualified as an independent predictor for short-term prognosis of diabetics with new-onset stable coronary artery disease.

Increased d-dimer is indicative of a hypercoagulable state and found to be associated with acute coronary syndromes. The present study aimed to evaluate whether plasma d-dimer levels could predict subsequent major clinical events in patients with coronary artery disease (CAD). First, 2209 angiographic-proven patients with CAD were consecutively enrolled. Then, all patients were subjected to follow up for an average of 18 months (ranged from 14 to 1037 days). The relationships of the plasma d-dimer with the severity of CAD and future clinical outcomes were evaluated. We found that plasma d-dimer was higher in patients with prior myocardial infarction (MI) than that in patients with nonprior MI (P = .006). Multivariate linear regression analysis suggested that the plasma d-dimer was linked to the severity of CAD assessed by Gensini score (β = 0.052, 95% confidence interval [CI]: 1.20-6.84, P = .005) even after adjusting for confounding factors. During the follow-up, 42 patients underwent prespecified outcomes. After adjustment for multiple variables in the Cox regression model, the d-dimer levels remained to be a potential predictor of total outcome (hazard ratio = 1.22, 95% CI: 1.09-1.37, P = .001). Therefore, plasma d-dimer levels appeared to be a useful predictor for the severity of CAD and the subsequent major clinical events., (© The Author(s) 2016.)

Objective: Although the study on the relationship between ABO blood groups and coronary atherosclerosis has a long history, few data is available regarding ABO to severity of coronary atherosclerosis in a large cohort study. Therefore, the present study aimed to investigate the relation of the ABO blood groups to the severity of coronary atherosclerosis assessed by Gensini score (GS) in a large Chinese cohort undergoing coronary angiography., Methods: A total of 2919 consecutive patients undergoing coronary angiography were enrolled, and their baseline characteristics and ABO blood groups were collected. The GS was calculated as 1st tertile (0-10), 2nd tertile (11-36), 3rd tertile (>36) according to angiographic results. The relation of the ABO blood groups to GS was investigated., Results: The frequency of blood group A was significantly higher in the upper GS tertiles (24.4% vs. 28.2% vs. 29.5%, p = 0.032). Multivariable linear regression analysis revealed that blood group A was independently associated with GS (β = 0.043, p = 0.017). Likewise, multivariable logistic regression analysis showed that group A remained significantly associated with mid-high GS (OR = 1.44, 95% CI 1.16-1.80, p = 0.001), and the group O was showed as a protective factor (OR = 0.77, 95% CI = 0.65-0.92, p = 0.004)., Conclusion: In this large Chinese cohort study, the data indicated that there was an association between ABO blood groups and the severity of coronary atherosclerosis. Moreover, the blood group A was an independent risk factor for serious coronary atherosclerosis., (Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.)

Background: Glycosylated hemoglobin A1C (HbA1c) has been widely recognized as a marker for predicting the severity of diabetes mellitus (DM) and several cardiovascular diseases. However, whether HbA1c could predict the severity and clinical outcomes in patients with stable coronary artery disease (CAD) remains largely unknown. We determine relationship of HbA1c with severity and outcome in patients with stable CAD., Methods: We enrolled 1433 patients with stable angina who underwent coronary angiography and were followed up for an average 12 months. The patients were classified into three groups by tertiles of baseline HbA1c level (low group <5.7%, n = 483; intermediate group 5.7 - 6.3%, n = 512; high group >6.3%, n = 438). The relationships between the plasma HbA1c and severity of CAD and early clinical outcomes were evaluated., Results: High HbA1c was associated with three-vessel disease. Area under the receivers operating characteristic curve (AUC = 0.67, 95% CI: 0.63-0.71, P < 0.001) and multivariate logistic regression analysis suggested that HbA1C was an independent predictor of severity of CAD (OR = 1.60, 95% CI: 1.29-1.99, P < 0.001) even after adjusting for gender, age, risk factor of CAD, lipid profile and fasting blood glucose. During follow-up, 133 patients underwent pre-specified outcomes. After adjusting for multiple variables in the Cox regression model, HbA1C remained to be an independent predictor of poor prognosis (HR = 1.28, 95% CI: 1.12-1.45, P < 0.001)., Conclusions: We concluded that high level of baseline HbA1c appeared to be an independent predictor for the severity of CAD and poor outcome in patients with stable CAD.

Background: The role of triglyceride (TG) in predicting the outcomes in diabetic patients with coronary artery disease (CAD) has not been well investigated., Methods: A total of 329 cases with stable angina pectoris (SAP) were prospectively enrolled and followed up for an average of 12 months. They were classified into the two groups according to the cut-off values of predicting early outcome of fasting TG level (low group <1.2 mmol/L, n = 103; High group ≥1.2 mmol/L, n = 226). The relationship between the TG levels and early outcomes were evaluated., Results: High TG group showed severer lipid profile and elevated inflammatory markers. During an average of 12-month follow-up, 47 out of 329 patients suffered from pre-specified outcomes. Area under the receivers operating characteristic curve suggested that TG, similar to serum Hemoglobin A1C (HbA1C), was a significant predictor of early outcome for diabetic patients with SAP (P = 0.002). In Cox regression models, after adjusted age, gender, body mass index, other lipid parameters, fasting blood glucose, high sensitivity C-reactive protein, neutrophil count and HbA1C, TG remained as an independent predictor of adverse prognosis., Conclusions: High level of fasting TG (≥1.2 mmol/L) was an independent predictor for early outcome of diabetic patients with SAP as like as HBA1c and number of affected coronary arteries in the era of revascularization and statin therapeutics.

Background: Both coronary artery disease (CAD) and diabetes mellitus (DM) are associated with inflammation. However, whether and which leukocytes can predict the presence and extent of CAD in patients with DM has not been investigated. The aim of the present study was to examine the association of leukocyte and its subsets counts with the severity of CAD in patients with DM., Methods and Findings: Three hundred and seventy-three diabetic patients who were scheduled for coronary angiography due to typical stable angina pectoris were enrolled in this study. They were classified into the three groups according to tertiles of Gensini score (GS, low group <8, n=143; intermediate group 8~28, n=109; high group >28, n=121). The relationship between the leukocyte and its subsets counts with the severity of CAD were evaluated. The data indicated that there were significant correlations between leukocyte and neutrophil counts with GS (r=0.154 and 0.156, respectively, all P<0.003 for Pearson's correlation). Similarly, area under the receivers operating characteristic curve of leukocyte and neutrophil counts were 0.61 and 0.60 respectively (95%CI: 0.55-0.67, all P=0.001) for predicting high GS. Multivariate logistic regression analysis demonstrated that leukocyte count was an independent predictor for high GS patients with DM (OR=1.20, 95%CI 1.03-1.39, P=0.023) after adjusting for conventional risk factors of CAD., Conclusions: Compared with its subsets, leukocyte count appeared to be an independent predictor for the severity of CAD and the optimal cut-off value for predicting high GS (>28 points) was 5.0 × 10(9) cells/L in diabetic patients.

Background: Some studies have suggested a relation of plasma fibrinogen to the severity of coronary artery disease (CAD). However, whether plasma fibrinogen can predict the presence and severity of CAD in patients with diabetes mellitus has not been determined., Methods: A total of consecutive 373 diabetic patients with typical angina pectoris who received coronary angiography were enrolled and classified into three groups by tertiles of Gensini score (GS, low group <8; intermediate group 8~28; high group >28). The relationship between fibrinogen and GS was evaluated., Results: There were correlations of fibrinogen with hemoglobin A1c, C-reactive protein, and GS (r = 0.17, r = 0.52, and r = 0.21, resp.; all P < 0.001). Area under the receivers operating characteristic curve of fibrinogen was 0.62 (95% CI 0.56-0.68, P < 0.001) for predicting a high GS. Multivariate analysis suggested that plasma fibrinogen was an independent predictor of a high GS for diabetic patients (OR = 1.40, 95% CI 1.04-1.88, and P = 0.026) after adjusting for traditional risk factors of CAD., Conclusions: The present data indicated that plasma fibrinogen, a readily measurable systematic inflammatory marker, appeared to be an independent predictor for the severity of CAD in diabetic patients.

Background: Red cell distribution width (RDW) has recently been considered as a strong predictor of a variety of acute and chronic cardiovascular diseases, while the association between RDW and coronary artery ectasia (CAE) has not been elucidated yet. The aim of the present study was to evaluate the association of RDW levels in the presence of the CAE., Methods: One hundred and sixty-four consecutive patients including 84 patients (69 male, mean age: 55 +/- 11 years) with isolated CAE and 60 angiographically normal controls (48 male, mean age: 52 +/- 13 years) were enrolled. Blood samples were drawn to measure RDW and C-reactive protein (CRP). Baseline clinical characteristics and laboratory findings were compared between the two groups., Results: The levels of RDW were significantly higher in patients with isolated CAE than that in normal controls (12.94 +/- 2.1 vs. 12.48 +/- 1.4, p = 0.021). In addition, the levels of CRP were also higher in patients with CAE compared with normal controls (0.28 +/- 0.14 mg/L vs. 0.21 +/- 0.11 mg/L, p = 0.047). The multivariate analysis indicated that RDW and CRP were the independent variables most strongly associated with the presence of isolated CAE. Finally, correlation analysis suggested that there was positive correlation between plasma levels of CRP and RDW levels in patients with CAE (n = 84, gamma = 0.358, p = 0.001)., Conclusions: The data demonstrated that RDW levels were significantly higher in patients with isolated CAE, suggesting that RDW may be a valuable marker for the patients with CAE.

Objective: An elevated red cell distribution width has been recognized as a predictor of various cardiovascular diseases. Slow coronary flow syndrome is an important angiographic clinical entity with an unknown etiology. This study aimed to examine the relationship between red cell distribution width and the presence of slow coronary flow syndrome., Methods: In total, 185 patients with slow coronary flow syndrome and 183 age- and gender-matched subjects with normal coronary flow (controls) were prospectively enrolled in this study. Red cell distribution width and C-reactive protein were measured upon admission, and the results were compared between the patients with slow coronary flow syndrome and normal controls., Results: Red cell distribution width levels were significantly higher in the patients with slow coronary flow syndrome than the normal controls. Moreover, the data showed that the plasma C-reactive protein levels were also higher in the patients with slow coronary flow syndrome than in the normal controls. In addition, a multivariate analysis indicated that C-reactive protein and red cell distribution width were the independent variables most strongly associated with slow coronary flow syndrome. Finally, the red cell distribution width was positively correlated with C-reactive protein and mean thrombosis in the myocardial infarction frame counts of the patients with slow coronary flow syndrome., Conclusion: The data demonstrated that red cell distribution width levels are significantly higher and strongly positively correlated with both C-reactive protein and thrombosis in the myocardial infarction frame counts of patients with slow coronary flow syndrome. These findings suggest that red cell distribution width may be a useful marker for patients with slow coronary flow syndrome.