Key result
Higher visit-to-visit variability in cholesterol levels is an independent predictor of major adverse cardiovascular events and poor renal outcomes in patients with diabetes.
Why the study?
Higher visit-to-visit variability in cholesterol levels might independently predict major adverse cardiovascular events and poor renal outcomes in diabetes, motivating a focus on its clinical implications.
In patients with diabetes, visit-to-visit lipid variability is associated with increased risks of cardiovascular disease, mortality, and nephropathy, highlighting the need for stable lipid control alongside lowering absolute levels.
Lipid management remains key in diabetes to curb ASCVD; leaves open diabetes-specific trials on small dense LDL targeting.
Diabetic dyslipidemia is characterized by hypertriglyceridemia, low HDL (high-density lipoprotein)-cholesterol, elevated LDL (low-density lipoprotein)-cholesterol, and predominance of small dense LDL particles caused by insulin resistance in type 2 diabetes or insulin deficiency in type 1 diabetes. Dyslipidemia is a major risk factor for atherosclerotic cardiovascular disease in diabetes, and lowering lipid levels can reduce its morbidity and mortality. Current guidelines for dyslipidemia management recommend that the LDL-C goal be lower than 55~100 mg/dL depending on the underlying risk factors. However, higher visit-to-visit variability in cholesterol levels might be an independent predictor of major adverse cardiovascular events and poor renal outcomes in diabetes. In this review, we focused on clinical implications of lipid variability in diabetes.
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Lee et al. (2022) conducted a review in Diabetes Mellitus and Dyslipidemia. Lipid variability was evaluated. Higher visit-to-visit variability in cholesterol levels is an independent predictor of major adverse cardiovascular events and poor renal outcomes in patients with diabetes.
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