Impact on Diabetes Mellitus on the Epicardial Coronary Flow Velocity Assessed by the Thrombolysis in Myocardial Infarction Frame Count

Angiology ◽  
2008 ◽  
Vol 60 (4) ◽  
pp. 431-440 ◽  
Author(s):  
Ahmet Soylu ◽  
Kurtulus Ozdemir ◽  
Mehmet Akif Duzenli ◽  
Mehmet Yazici ◽  
Mehmet Tokac
Keyword(s):  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Flow Velocity ◽  
Coronary Arteries ◽  
Coronary Flow ◽  
Coronary Flow Velocity ◽  
And Gender

The aim of this study is to evaluate the effect of type 2 diabetes mellitus on epicardial coronary flow velocity assessed by the thrombolysis in myocardial infarction frame count. The thrombolysis in myocardial infarction frame count was measured in 272 coronary arteries from 101 patients with type 2 diabetes mellitus and in 271 coronary arteries from 104 age- and gender-matched patients without type 2 diabetes mellitus referred for coronary angiography. The thrombolysis in myocardial infarction frame count was measured only in normal arteries or in arteries without significant lesion. By both univariate and multivariate analysis, the thrombolysis in myocardial infarction frame count was not related with either type 2 diabetes mellitus or the duration and glycated hemoglobin levels in the patients with type 2 diabetes mellitus. The thrombolysis in myocardial infarction frame count was significantly associated with body surface area, heart rate, and proximal coronary artery diameter. Type 2 diabetes mellitus did not affect epicardial coronary flow velocity assessed by the thrombolysis in myocardial infarction frame count.

scholarly journals Reactive Oxygen Species Modulator-1 (ROMO-1) Polymorphism Rs6060566 and The Risk of Myocardial Infarction in Slovenian Subjects With Type 2 Diabetes Mellitus

2020 ◽  
Author(s):  
Miha Tibaut ◽  
Sara Mankoč Ramuš ◽  
Daniel Petrovič
Keyword(s):  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Reactive Oxygen Species ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Coronary Artery ◽  
Coronary Arteries ◽  
Reactive Oxygen ◽  
Oxygen Species

Abstract Background We aimed to examine the role of the rs6060566 polymorphism of the reactive oxygen species modulator-1 (ROMO-1) gene in the development of myocardial infarction (MI) in Caucasians with type 2 diabetes mellitus (T2DM). Methods A total of 1072 subjects with T2DM were enrolled in cross-sectional case-control study: 335 subjects with MI and 737 subjects without clinical signs of coronary artery disease (CAD). Genetic analysis of the rs6060566 polymorphism was performed in all subjects. To assess the degree of coronary artery obstruction, a subpopulation of 128 subjects with T2DM underwent coronary computed tomography (CT) angiography. Next, endarterectomy samples were obtained during myocardial revascularization from diffusely diseased coronary arteries in 40 cases, which were analysed for ROMO-1 expression according to their genotype. Results There were no statistically significant associations between different genotypes or alleles of the rs6060566 polymorphism and MI in subjects with T2DM. The carriers of the C allele of the ROMO-1 rs6060566 had a threefold increased likelihood of having coronary artery stenosis (AOR = 3.27, 95% CI 1.16–9.20). Furthermore, the carriers of the C allele showed higher number of positive cells for ROMO-1 expression in endarterectomy samples of coronary arteries. Conclusions In accordance to our study, the rs6060566 polymorphism of the ROMO-1 gene is not the risk factor for MI in Caucasians with T2DM. However, we found that subjects carrying the C allele were at a 3.27-fold increased risk of developing severe CAD compared with those who had nonobstructive CAD. Moreover, The C allele carriers showed statistically higher number of cells positive for ROMO-1 compared with T allele carriers in coronary endarterectomy samples.

scholarly journals Risk stratification score for acute myocardial infarction and sudden cardiac death in type 2 diabetes mellitus

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
S Lee ◽  
J Zhou ◽  
CL Guo ◽  
WKK Wu ◽  
WT Wong ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cardiac Death ◽  
Adverse Outcomes ◽  
Risk Scores ◽  
Diabetic Patients ◽  
Type 2 Diabetic

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Acute myocardial infarction (AMI) and sudden cardiac death (SCD) are major cardiovascular adverse outcomes in patients with type 2 diabetic mellitus. Although there are many risk scores on composite outcomes of major cardiovascular adverse outcomes or cardiovascular mortality for diabetic patients, these existing scores did not account for the difference in pathogenesis and prognosis between acute coronary syndrome and lethal ventricular arrhythmias. Furthermore, recent studies reported that HbA1c and lipid levels, which were often accounted for in these risk scores, have J/U-shaped relationships with adverse outcomes. Purpose The present study aims to evaluate the application of incorporating non-linear J/U-shaped relationships between mean HbA1c and cholesterol levels into risk scores for predicting for AMI and non-AMI related SCD respectively, amongst type 2 diabetes mellitus patients. Methods This was a territory-wide cohort study of patients with type 2 diabetes mellitus above the age 40 and free from prior AMI and SCD, with or without prescriptions of anti-diabetic agents between January 1st, 2009 to December 31st, 2009 at government-funded hospitals and clinics in Hong Kong. Risk scores were developed for predicting incident AMI and non-AMI related SCD. The performance of conditional inference survival forest (CISF) model compared to that of random survival forests (RSF) model and multivariate Cox model. Results This study included 261308 patients (age = 66.0 ± 11.8 years old, male = 47.6%, follow-up duration = 3552 ± 1201 days, diabetes duration = 4.77 ± 2.29 years). Mean HbA1c and high-density lipoprotein-cholesterol (HDL-C) were significant predictors of AMI under multivariate Cox regression and were linearly associated with AMI. Mean HbA1c and total cholesterol were significant multivariate predictors with a J-shaped relationship with non-AMI related SCD. The AMI and SCD risk scores had an area-under-the-curve (AUC) of 0.666 (95% confidence interval (CI)= [0.662, 0.669]) and 0.677 (95% CI= [0.673, 0.682]), respectively. CISF significantly improves prediction performance of both outcomes compared to RSF and multivariate Cox models. Conclusions A holistic combination of demographic, clinical, and laboratory indices can be used for the risk stratification of type 2 diabetic patients against AMI and SCD.

scholarly journals The influence of type 2 diabetes mellitus on the frequency and complexity of ventricular arrhythmias and heart rate variability in patients after myocardial infarction

2016 ◽  
Vol 73 (11) ◽  
pp. 1050-1055
Author(s):  
Viktor Stoickov ◽  
Marina Deljanin-Ilic ◽  
Dijana Stojanovic ◽  
Stevan Ilic ◽  
Sandra Saric ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Type 2 Diabetes ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Type 2 Diabetes Mellitus ◽  
Ventricular Arrhythmias ◽  
Qt Dispersion ◽  
Rr Intervals

Background/Aim. After myocardial infarction arrhythmic cardiac deaths are significantly more frequent compared to non-arrhythmic ones. The aim of the study was to investigate the influence of type 2 diabetes mellitus (T2DM) on the frequency and complexity of ventricular arrhythmias after myocardial infarction. Methods. The study included 293 patients, mean age 59.5 ? 9.21 years, who were at least six months after acute myocardial infarction with the sinus rhythm, without atrioventricular blocks and branch blocks. In the clinical group 95 (32.42%) patients were with T2DM, while 198 (67.57%) patients were without diabetes. All of the patients were subjected to the following procedures: standard ECG according to which the corrected QT dispersion (QTdc) was calculated, exercise stress test, and 24-hour holter monitoring according to which, the four parameters of time domain of heart rate variability (HRV) were analyzed: standard deviation of all normal RR intervals during 24 hours (SDNN), standard deviation of the averages of normal RR intervals in all five-minute segments during 24 hours (SDANN), the square root of the mean of the sum of the squares of differences between adjacent normal (RMS-SD), and percentage of consequtive RR intervals which differed for more than 50 ms during 24 hours (NN > 50 ms). Results. In patients after myocardial infarction, patients with T2DM had significantly higher percentage of frequent and complex ventricular arrhythmias compared to the patients without diabetes (p < 0.001). The patients with T2DM had significantly higher percentage of residual ischemia (p < 0.001), and arterial hypertension (p < 0.001), compared to patients without diabetes. The patients with T2DM had significantly lower values of HRV parameters: SDNN (p < 0.001); SDANN (p < 0.001); RMS-SD (p < 0.001), and NN > 50 ms (p < 0.001), and significantly higher values of QTdc (p < 0.001) compared to the patients without diabetes. Conclusion. The study showed that type 2 diabetes mellitus has significant influence on ventricular arrhythmias, HRV parameters and QT dispersion in patients after myocardial infarction.

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