Key result
Age, male sex, BMI, glucose variability, and eGFR independently predicted carotid atherosclerosis, while male sex, BMI, diabetes duration, eGFR, and L-citrulline predicted carotid artery stenosis.
Why the study?
Carotid atherosclerosis and carotid artery stenosis carry a high risk of cardiovascular events in type 2 diabetes, prompting the identification of associated risk factors and biomarkers.
Observational (n=389)
Clinical parameters and biomarkers such as glucose variability, eGFR, and L-citrulline independently predict carotid atherosclerosis and stenosis in type 2 diabetes, potentially guiding screening programs.
May support targeted CA screening in T2D; hypothesis-generating and requires prospective validation.
Carotid atherosclerosis (CA) and, especially, carotid artery stenosis (CAS), are associated with a high risk of cardiovascular events in subjects with type 2 diabetes (T2D). In this study, we aimed to identify risk factors and biomarkers of subclinical CA and CAS in T2D individuals. High-resolution ultrasonography of carotid arteries was performed in 389 patients. Ninety-five clinical parameters were evaluated, including diabetic complications and comorbidities; antihyperglycemic, hypolipidemic, and antihypertensive therapy; indices of glycemic control and glucose variability (GV); lipid panels; estimated glomerular filtration rate (eGFR); albuminuria; blood cell count; and coagulation. Additionally, serum levels of calponin-1, relaxin, L-citrulline, and matrix metalloproteinase-2 and -3 (MMP-2, -3) were measured by ELISA. In univariate analysis, older age, male sex, diabetes duration, GV, diabetic retinopathy, chronic kidney disease, coronary artery disease, peripheral artery disease, and MMP-3 were associated with subclinical CA. In addition to these factors, long-term arterial hypertension, high daily insulin doses, eGFR, and L-citrulline were associated with CAS. In multivariate logistic regression, age, male sex, BMI, GV, and eGFR predicted CA independently; male sex, BMI, diabetes duration, eGFR, and L-citrulline were predictors of CAS. These results can be used to develop screening and prevention programs for CA and CAS in T2D subjects.
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Klimontov et al. (2021) conducted an observational in Type 2 diabetes (n=389). Clinical parameters and biomarkers was evaluated on Carotid atherosclerosis (CA) and carotid artery stenosis (CAS). Age, male sex, BMI, glucose variability, and eGFR independently predicted carotid atherosclerosis, while male sex, BMI, diabetes duration, eGFR, and L-citrulline predicted carotid artery stenosis.
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