Prevalence of different patterns of dyslipidemia in patients with type 2 diabetes in an Iranian population

Abstract

Abstract Background Diabetic dyslipidemia is a complex multidimensional abnormality. However, earlier studies did not focus on the prevalence of various patterns of dyslipidemia. We categorized dyslipidemia into three groups. Single dyslipidemia (7 patterns) and mixed dyslipidemia consisted of dual (16 patterns) and triple (4 patterns) combinations of different patterns of single dyslipidemia. Methods This cross-sectional study included 2097 patients with type 2 diabetes (T2D) between 2014 and 2021. We measured blood lipid profile parameters and calculated the atherogenic index of plasma (AIP) using log (TG/HDL-C). We analyzed dyslipidemia as a categorical variable and expressed results as numbers and percentages. We used Chi-square or Fisher exact tests to compare categorical variables. Results A total of 97.81% of patients had at least one lipid abnormality. High AIP (88.0%) was the most common pattern, followed by LDL-C ≥ 70mg/dl (80.1%), and low HDL-C (58.0%). 73.87% of patients had mixed dyslipidemia. The dual combination of high AIP and LDL-C ≥ 70mg/dl was the most common pattern of mixed dyslipidemia (71.1%). Additionally, 24.7% of patients had triple combination dyslipidemia. All dyslipidemia patterns were more common among women than men, except for high AIP. In patients with T2D and coronary artery disease (CAD) history, high AIP was the most prevalent pattern of dyslipidemia (87.5%), followed by LDL ≥ 70mg/dl (68.6%). Also, the dual combination of high AIP and LDL ≥ 70mg/dl was the most common pattern of mixed dyslipidemia in patients with T2D and CAD history (60.67%). Conclusion This study showed that single and mixed (dual and triple combination) dyslipidemia is common among patients with T2D. High AIP and LDL-C ≥ 70mg/dl were the most common patterns, either single or combined, in patients with or without CAD.