HIGHLIGHTS
SUMMARY
Current epidemiologic data have demonstrated that type 2 diabetes (T2DM) is accompanied by a 2-4-fold greater overall risk of cardiovascular (CV) complications compared to non-diabetic patients, even after adjustment for traditional risk factors. Risk models for use in individuals with diabetes typically do not include information from biomarkers other than cholesterol, glycated hemoglobin (HbA1c), and urinary albumin-to-creatinine ratio (UACR), raising the question of whether adding novel biomarkers would improve CV risk prediction in patients with T2DM. The aim of this study was to investigate the association of high-sensitivity . . .
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