23.3 million Death will be caused by cardiovascular disease (CVD) by 2030. Also, people with diabetes mellitus (MD) have an increased risk for CVD. So, multivariable risk predictor algorithms and inflammatory biomarkers develop to assess CVD risk as we know diabetes, Hypertension, Dyslipidemia, smoking, age and gender are major risk factors for CVDs. The aim of risk assessment is to categorize population to strengthen preventive medicine. We hypothesised that preventive medicine decrease the risk of CVDs in diabetic patients.Design and Method:
This research was cross sectional study with randomized sampling. The sample size was 418 diabetic patients that receive routine preventive medicine at diabetes clinic. We collected the latest information including gender, race, age, systolic blood pressure, Total Cholesterol, HDL Cholesterol, smoking status, hypertension treatment status for each diabetic patient and then calculate the 10-year CVD risk in Framingham risk score calculator and Atherosclerotic Cardiovascular Disease (ASCVD) risk calculator. Also we measured high sensitive C-reactive protein (hs-CRP) after receiving blood sample from every diabetic patient. Finally, all data analysed via SPSS-20 software.Results:
most diabetic patients were white, old, female, non-smoker and hypertensive that receive intensive hypertension treatment. Also mean systolic blood pressure, total cholesterol and HDL Cholesterol were in desirable range. ASCVD risk and hs-CRP showed high risk of CVDs in these diabetic patients, but Framingham risk score showed intermediate risk of CVDs.Conclusions:
As most mutable risk factors such as systolic blood pressure and cholesterol in these diabetic patients were desirable, the importance of immutable risk factors in CVD risk has become dominant, more than ever. Also, it seems Framingham risk score has underestimated CVD risk in females.