Demographic and Socioeconomic Factors of Patients With Coronary Artery Diseases Undertreatment of Coronary Artery Bypass Grafting, Percutaneous Coronary Intervention and Drug Therapy in Mashhad, Iran

BACKGROUND Considering the importance of preventing cardiovascular diseases, determining the contributing risk factors for ischemic heart disease which leads to atherosclerotic plaque, could be effective in selecting the required interventions. OBJECTIVES This study aimed to evaluate socioeconomic factors in patients with Coronary Artery Diseases (CAD) in three treatment groups: Coronary Artery Bypass Grafting (CABG), Percutaneous Coronary Intervention (PCI) and drug therapy. By identifying and comparing the underlying factors in treatment groups, we can gather useful information for future planning and policy making in order to reduce and eliminate the contributing factors. PATIENTS AND METHODS This cross-sectional study was conducted on 760 patients with CAD referred to cardiovascular health centers in Mashhad, Iran, including Javad-Al-Aeme Heart Hospital, Qaem, Imam Reza and Dr. Shariati educational Hospital. Samples were collected through purposive sampling from January to March 2014. Based on the experts' opinion, the subjects were categorized into three treatment groups: CABG, PCI, and drug therapy. RESULTS The mean age of total patients was 58.3 ± 11.5 years (P = 0.09). The proportion of rural patients in the PCI (26.7%) and drug therapy (27.5%) groups was twice as high as the CABG group (11.7%) (P < 0.001). The proportion of patients with higher educational level (higher than high school diploma) in the CABG group (35.9%) was higher than PCI and drug therapy groups (26.7%, 24.3%) (P = 0.006). Smoking, drinking and drug abuse were more common in the drug therapy group (P = 0.03, P = 0.02, and P < 0.001, respectively). One-vessel and three-vessel coronary artery diseases were more common in the drug and CABG groups, respectively (P < 0.001). CONCLUSIONS In total, application of therapeutic approaches in patients with CAD depends on many factors. In our study not only risk factors such as gender, lifestyle, smoking, alcohol abuse, diabetes and hypertension were associated with the incidence of CAD, but also they were highly correlated with the severity of the disease.