INTRODUCTION
Coronary Artery Disease (CAD) is the leading cause of mortality among patients with type 2 diabetes. Patients with this disease usually have myocardial ischemia that are usually silent and in advanced stage when symptoms manifest1,11. The risk for myocardial infarction (MI) among diabetics are 2 - 4 times higher than those non-diabetic patients with lesser survival rate in an event of an MI attack2-4. In addition, this subjects have more diffused, calcified, and extensive CAD3. Given the poorer prognosis of CAD in the diabetic population, it is important that patients with diabetes, at risk of developing or have already developed CAD, are evaluated as early as possible to reduce mortality and morbidity through earlier interventional therapy and risk-factor modification5, 14.
At present, the “gold standard” in the diagnosis of CAD is invasive coronary angiography3,6. Despite the existence of several noninvasive imaging studies, the temporal and spatial resolution of conventional coronary angiography is higher than any noninvasive modalities3,6. However, there’s a caveat. Coronary angiography is expensive, does not allow direct visualization of coronary microcirculation, carries a risk of complications due to its invasive nature, and
Quantitative variables were summarized as mean and standard deviation, while qualitative variables were tabulated as frequency and percentage. Homogeneity of baseline characteristics between diabetic patients with adequate and inadequate glycemic control was tested using independent t-test for quantitative variables and Chi-square/Fisher’s exact test for qualitative variables. Association between glycemic control and Summed stress score (SSS) was determined using Pearson linear correlation analysis. Logistic regression analysis was used to determine the odds of ischemia among patients with adequate and inadequate glycemic control. The level of significance was set at