Characterization of Coronary Artery Disease Patients Managed in an Outpatient Facility in Selangor

Nur Aliah Binti Mustaffa Kamal, Ahmad Rashidi Mohamed Tahir, Wan Rosalina Wan Rosli

Faculty of Pharmacy, University of Cyberjaya, Cyberjaya, Selangor, Malaysia

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Introduction: Coronary Artery Disease (CAD) remains a major disease in the world. As CAD often presents suddenly with little warning, identification of early cardiac disease could allow intervention that may be effective in slowing the progression. To this end, characterization of patients would be useful to aid healthcare practitioners to plan the best care needed by individual patients.

Objective(s): The aim of this study is to characterize the patients treated at an outpatient facility in Selangor by focusing on the trends of HbA1c and serum lipid profile.

Methodologies: Sample data were taken from 119 CAD patients at An-Nur Specialist Clinic, Bangi. Patient demographic data such as age, sex and BMI was collected through the hospital records. Lipid profile and HbA1c results was obtained from hospital records. All patient’s data were collected retrospectively from records obtained in the year 2014. IBM SPSS was used as the tool for statistical analysis. Total cholesterol (TC), Triglyceride (TG), High density lipoprotein (HDL), low density lipoprotein (LDL) and glycated haemoglobin (HbA1c) were analysed according to gender, age and BMI.

Results: Result show that TG and HDL in this study does not show a significant as a strong indicator for CAD risk factor. LDL and HbA1c show promising positive result to be useful as a parameter to monitor CAD.

Conclusion: LDL and HbA1c show positive indication to be used in further characterizing CAD patients in Selangor and the prevalent risk factor for this population include LDL level and diabetes.

Keywords: Coronary artery disease; diabetes; HbA1c; LDL; HDL