Physiological study on Coronary Artery Disease Risk Factors: in Type 2 Diabetic Patients with Normal and Abnormal ECGs

Abdul-Majeed H. Al-Saffar,Muhammad O. Almuhammadi,Mouayad A. Alwash
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Keywords : Physiological study,Coronary Artery,Risk Factors
Medical Journal of Babylon  9:1 , 2014 doi:1812-156X-9-1
Published :2012


The study sample size was 100 patients whom they have been recruited from Diabetes Unit in Marjan Teaching Hospital. We divided the sample into two groups; 88 with normal ECGs (group1) and 12 with abnormal ECG changes the (group2) .The range of their age 17-76 years old. The study includes nine risk factors that causes coronary artery disease (CAD) which are, High density lipoprotein (HDL-C), Low density lipoprotein (LDL-C), Total cholesterol (TC), Triglyceride (TG), Body mass index BMI, Age, Glucose, Duration and BP. Laboratory analyses of HDL-C, LDL-C, TC, TG, and glucose reveal, that, LDL-C correlated negatively with TGs and positively with HDL-C in the (group1), and TGs show positive correlation LDL-C size in (group2).The only positive significant correlation coefficient was the glucose in (group1), 394.36±40.82 compared to 244.75±54.4 (group2) with p value < 0.01. While 51%of all patients associated with hypertension. Duration of type 2 Diabetes Mellitus (T2DM) was 10-32 years for all patients. Factor analyses for both groups variants result in: Variables analyses of component matrix of (group1) represent the risk factors on four categories while (group2) variables descript three risk factor categories, according to their performance percent on Coronary Artery Disease (CAD). Factor analysis reveals that; first, the factor of lipid profile had the great percentage of risk factor on CAD in both groups. Second; there was unobserved risk factors, one of these risk factors might be cytomegalovirus (CMV) which can infect pancreatic islet cells result in T2DM the main CAD risk factor. The group1 with abnormal electrocardiogram (ECG) changes reveals that 30.787% may be affected with CMV or even other reason rather than the common risk factors. Third; a glance to the percent, 42.16%, of first factor variance of the (group2) with normal ECGs, and 24.822% first factor variance of the (group1) match, tell more positive significant difference. Pearson correlation coefficients demonstrate no significant difference between all variables in both groups except glucose (394.36±40.8) expose an increase difference in group1 compared to (244.75±54.4) group2 with (P<0.01). And 51%of all patients associated with hypertension


iabetes mellitus (DM) can be defined as a clinically and genetically heterogeneous group of disorders characterized by abnormally high levels of glucose in the blood, in addition to a disorder of carbohydrate, protein and fat metabolism [1].Chronic hyperglycemia in DM damages various organs and leads to a series of complications [2].Which include retinal vascular disease, renal glomerulo-sclerosis, neurological dysfunction and an increased risk of accelerated atherosclerosis. As a result of these complications, patients with diabetes have an increased probability of suffering blindness, renal failure, neuropathy, strokes, limb ischemia and heart attacks [1]. Blood vessels are the commonly affected targets and related complications are the leading causes of death in patients T2DM [2]. Thus T2DM is a cardiovascular disease; two out of three diabetic patients die of cardiovascular disease or its complications [3]. T2DM considered as CAD risk factor [4-5] at least 25% of coronary patients have sudden death or nonfatal myocardial infarction without prior symptoms [6]. CAD accounts for a large fraction of morbidity and mortality in patients with T2DM [4, 7] among cardiovascular complications, CAD has been observed most frequently, and it imposes a huge health trouble in all countries [8]. Diabetes without prior myocardial infarction and prior myocardial infarction without diabetes indicate similar risk for CAD death in men and women. However, diabetes without any prior evidence of CAD (myocardial infarction or angina pectoris or ischemic ECG changes) indicates a higher risk than prior evidence of CAD in non-diabetic subjects, especially in women [9]. Risk factors have included blood pressure, cigarette smoking, cholesterol TC, LDL-C, HDL-C, and diabetes [10]. Type 2DM is a powerful risk factor for CAD progression [11].Conversely; plaques in asymptomatic diabetic patients were usually non-obstructive. [12].Myocardial ischemia in patients with diabetes is often asymptomatic and frequently in an advanced stage when it becomes clinically manifest [13]. The lesion may have been very severe in diabetic patients when symptoms of T2 DM developed because of the following two reasons. First, the patients may have had DM for many years before it was diagnosed because of lack of typical clinical symptoms[14] .Second, painless myocardial ischemia may have developed in a higher percentage of patients and which mask the progress of CAD[4,5].The American Diabetes Association suggested a risk factor-guided screening approach (e.g., considering age, gender, hypertension, and dyslipidemia) for early detection of CAD in patients with symptomatic and asymptomatic T2DM [15] .The aim of this study was to study: First the influence of a patient s age, diabetes duration, obesity, frequency of hypertension (BP) Hyperglycemia and blood lipid profile (TC, HDL-C, LDL-C, TG) and second; matching the exciting risk factor changes in the symptomatic (abnormal ECG) and A symptomatic (normal ECG) T2DM features from their physiological point of view

Materials and methods

1. Materials
The current study includes 100 diabetes patients, were recruited from Diabetes Unit in Marjan Teaching Hospital, 71
men and 29 women, 71–76 years old. Patients confirm normal ECGs were 88 (group1) while 12 from the entire patients show abnormal resting ECGs (group2) with obvious myocardial infarction, angina pectoris or ischemic ECG changes, at the baseline of examination. Patients of both sexes were included in this study.
1.2 Electrocardiograms (ECGs)
Kenz Cardio 302 three channel ECG machine was used for total patients. All the ECGs were reviewed and interpreted by a cardiology consultant*3 based in Marjan Teaching Hospital. Patients with evidential abnormal resting ECGs were included in this study as abnormal T2DM patients (group 2).
Patients with normal ECGs (group1) occasionally have evidence of previously unrecognized MI on resting ECG, including abnormal Q-waves or deep T-wave inversions, or the presence of a left-bundle branch block (LBBB), findings usually trigger evaluation for CAD and inducible ischemia. However, non specific ST-T wave changes also are a strong predictor of inducible ischemia in asymptomatic diabetic patients [7, 16].
2. Methods
2.1 Physical examination
All patients underwent primary clinical and laboratory evaluation. Height and weight were measured, as body mass index (BMI kg/m2) [17] was calculated. Two blood pressure (BP) determinations were made after the patient had been sitting at least 5 minutes, and the average of BP readings was included in the study. Hypertension: When BP ?140/90mmHg (with or without medication).
2.2 Blood collection.
Venous blood samples were drawn from all patients who were fasting for at least 12 hour. The procedure done at the morning routine clinic visits then laboratory analyses were done on the blood serum 2.3 Lipid profile
Laboratory analyses were done according to manufacturer instructions. The required volume of serum needed for each test is 30.00 ?l applied onto a specific zone on the test strip, after that the strip placed on the instrument guide. The concentration for each test was calculated automatically by the Reflotrone instrument via the magnetic slip on the underside of each test strip. Serum samples were used for evaluation of serum total cholesterol TC, serum high density lipoprotein HDL-C, serum triglycerides TG and serum glucose GLU were measured by a reflectance photometer [Reflotron®Roche] with the strips of Reflotron®Roche Diagnosis Ltd. Bell Lane, Lewes, East Sussex BN71LG UK. Serum low density lipoprotein-cholesterol LDL-C was calculated by the Friedewald formula [18].
while LDL = {TC – (HDL + VLDL)}. 3. Statistical analysis
Data analyses were set with the SPSS programs (SPSS, Chicago) by means of Factor analysis (correlation-matrix). The results for the continuous variances were presented by initial Eigen values as their cumulative percentages. Data of nine variables include: AGE, BMI, TC, TG, HDL-C, LDL-C, glucose GLU, BP and diabetes duration (DURA) form both groups of patients were incorporated.
Variables analyses of component matrix of (group1) represent the risk factors on four categories (Tables 1A, 1B&1C ) while (group2) variables descript three risk factor categories, according to their performance percent on CAD (Tables 2A, 2B & 2C ).Pearson correlation coefficients were used to assess the relationship between (group1) and (group2) variables. Mean ± SD of variables from both group of patients were matched with each other (Table 3).


Factor analysis for group 1 with Normal ECGs patients in the study were designed to evaluate the most common risk factors that generate the CAD in T2DM patients, after matching the correlation between the variables. The analysis consequence reveals 4 categories (factors) of essential risk factors display the extent of serious effect proportion on CAD incidence (Table 1C). 1. Factor one: a great positive association between the variances of TC, HDL-C and LDL-C which considered as lipid profile risk factor represent 24.822%from the total variances 69.213%. 2. Factor two: the relationship between TG, glucose and duration of T2DM estimated 17.513% of variance. 3. Factor three: positive association between BMI and BP, with 15.253% variance. 4. Factor four: represent the AGE only with a variance of 11.625%.The total Cumulative percentage of the four factors = 69.213% (Table 1C). ? Factor analysis for group 2 with abnormal ECGs reveals 3 categories (factors) within their total Cumulative percentage of 85.897% where the CAD risk factors representation is more clear than that of (group1) .The loadings summarized in (Table 2C):- 1. Factor one: A positive relationship between the AGE of the patient, TC, HDL-C, LDL-C, BP, and glucose the variance % represent 42.161% from the total variances 85.897%. 2. Factor two: the variance of BMI is 19.729%.3. Factor three: there is inverse proportion between TG value and the DURA value (duration of disease) with a variance of 15.362%. The total Cumulative percentage of the above three factors 85.897%. Pearson correlation coefficients demonstrate negative significant difference between all variables in both groups except glucose expose an increase difference in (group1) variables P<0.01 (Table3), with 51%of all patients associated with hypertension.


Analyses of the nine mentioned common risk factors of (group1) T2DM patients indicate that 69.213% of them had a direct effect on CAD prevalence in this cohort of patients, this explain that up till now there is about 30.787% of other risk factors not mentioned, although have more risky relationship with CAD. (Table 1C). The summarized loadings (Table2C) of the (group2) participants indicate that the risk factors hazard within 85.897% to mark out CAD in patient’s myocardial infarction or angina pectoris, LBBB, or ischemic ECG changes, but there are still about 14.11% from other causes. Even that, the first factor variance percent, 42.16%,(Table2C) give an idea about the wide range of significant difference compared with first factor variance percent 24.822% (Table 1C) of the (group1) because of the already presented symptoms. Matching was applied on other factors of variance from (Table1C&Table2C) revels less differences. Medical studies on T2DM patients confirmed on the traditional CAD risk factors, while our study indicate that there are more additional possible risk factors, where (group2) reveal that 30.787% out of the total sum of variances “69.213%” and (group1) about 14.11% out of the total sum of variances “85.897 %” subject of debate. Recent studies announce possible curious risk factors, with the incidence of new-onset of T2DM with asymptomatic human Cytomegalovirus infection group was 26%, compared to control group of recipients without CMV infection was 6%.Asymptomatic CMV infection was associated with a significantly increased risk of new-onset diabetes, [19] as well as several types of viral infections have been associated with increased risk of T2DM [20,21] also the CMV can infect pancreatic islet cells in vivo[22] and has been detected in islet cells from both type1 [23] and type2[24] diabetic Patients, considering T2DM as a powerful risk factor for CAD progression[11]. There was a correlation between diabetes, sero-positivity to CMV and age, and more significant vascular complications among patients with diabetes [25]. Peripheral tissues uptake of cholesterol from the blood through a process of LDL-C receptor-mediated endocytosis [26]. The LDL-C can pass from the blood into the arterial wall where it may be oxidized and engulfed by macrophages producing foam cells, which accumulate to form fatty streaks [27]. The present study on (group1) reveals the same result that; LDL-C correlated negatively with plasma TGs and positively with HDL-C however, an inverse correlation between the TG to HDL-C (Table1) [28]. In contrast the association between TG levels and CAD disappeared after adjusting for other risk factors. Similarly, asymptomatic men assessed for vascular risk factors, low HDL-C levels were reported to be associated with an increased risk of CAD at all levels of total cholesterol and were particularly apparent in subjects with diabetes [29]. While (group2) analyses, TGs show positive correlation (Table 2C), go with the role of TGs as a risk factor in the general population is controversial [30]. LDL-C has long been recognized as the major atherogenic lipoprotein, whereas, HDL-C is believed to protect against atherosclerosis [31]. The relationship between low levels of HDL-C and the development of CAD, the relative risk of CAD increases due to level of total cholesterol, with decreasing levels of HDL-C [32]. The various HDL-C is involved in the reverse transport of cholesterol from the peripheral tissues to the liver, thereby reducing the uptake of cholesterol by macrophages and providing a protective effect against atherosclerosis. It also has beneficial effects upon endothelial function[33,34] .Common CAD was associated with male sex, older age, lower HDL-C, low diastolic blood pressure and use of antihypertensive medication[35]. The association between diabetes mellitus and hypertension has been described in 60–65% of diabetic patients, with complications for cardiovascular risk [36, 37].On the contrast other studies on primary role of chronic hyperglycemia in the pathogenesis of the accelerated atherosclerosis in diabetic patients is still controversial [38,39]. Hypertension is an extremely common condition in DM affecting about 20% –60% of patients with diabetes. People with both DM and hypertension have approximately twice the risk of CAD. The prevalence of hypertension in patients with diabetes in the clinic-based study was 67.7% [40]. This study was comparable to 51% patients associated with hypertension, while the corresponding numbers for hypertension range between 50% and 70% [41, 42].


1. The sample size in this study was confined to 100 diabetic patients in one local hospital. I suggest that National population survey to include wider range of patients in different hospitals to analyze the most common risk factors for T2DM. 2. To introduce National plan for sero-positivity tests to CMV as there was a correlation among diabetes


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