Also, an assessment of CVD risk can be a useful tool for prevention of poor treatment of individuals at high-risk, as well as inappropriate treatment of subjects at low risk.
Therefore, assessment of CVD risk is of great importance for preventing adverse cardiovascular outcomes in this population group.
It is estimated that almost three-quarters of individuals with DM2 die from CVD. HsCRP is not superior for CVD risk prediction by UKPDS risk engine algorithm over high triglyceride and creatinine levels in diabetic population, which suggests that the old traditional markers must not be underestimated when examining CVD risk in population with diabetes.Ĭardiovascular disease (CVD) represents the major cause of death in subjects with type 2 diabetes mellitus (DM2). In multivariate regression analysis, triglycerides and creatinine concentration (OR=1.040, p<0.001) were independent predictors of CVD risk, whereas hsCRP was not correlated with CVD risk. Also, about one third of diabetic patients (29.4%) were classified into the high-risk category. More males than females were classified at high UKPDS risk category (p<0.001). Biochemical and anthropometric parameters, and blood pressure were obtained. A total of 180 participants with DM2 (of them 50% females) were included in the current cross-sectional study. Furthermore, we aimed to explore whether non-traditional biomarker such as high sensitivity C-reactive protein (hsCRP) is superior for CVD risk prediction over old traditional risk factors. Since there is a high prevalence of type 2 diabetes mellitus (DM2), as well as CVD in Montenegro, we aimed to estimate CVD risk by United Kingdom Prospective Diabetes Study (UKPDS) risk engine algorithm in individuals with DM2.
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