A dysregulation of glucose metabolism control is associated with carotid atherosclerosis in patients with coronary heart disease (CORDIOPREV-DIAB study)

Abstract

Background and aims: Patients with coexisting coronary heart disease (CHD) and type 2 diabetes mellitus (T2DM) are at high risk of cardiovascular recurrence, however, it is not well established whether they exhibit an increased intima-media thickness of both common carotid arteries (IMT-CC). Furthermore, whether this relationship is inherent to T2DM or depends on glycemic control has not been tested in large cohorts. Our aim was to determine whether clinical categories and/or analytical markers of glucose metabolism control were associated with IMT-CC in CHD patients.

Methods: 1002 patients aged 20-75 years, categorized into normal glucose tolerance (NGT), impaired fasting glucose (IFG), impaired glucose tolerance (IGT) or T2DM, underwent an oral glucose tolerance test (OGTT) and an IMT-CC measurement.

Results: IMT-CC was higher in T2DM patients with HbA1c > 6.5% compared to T2DM patients with HbA1c < 6.5% (p = 0.001), patients with IFG or IGT (p < 0.001) and NGT (p < 0.001). When age was considered, IMT-CC was influenced by glucose metabolism control only in e patients with age <61 years (p < 0.01). In a multiple linear regression analysis, glucose concentration at 120 min, but not other OGTT time-points appeared as a significant independent contributor of IMT-CC (p < 0.001). Moreover, a multiple logistic regression and the area under curve (AUC) of the ROC curve analysis showed a predictive power of glucose at 120 min to detect those CHD patients at the highest risk, defined as IMT-CC ≥ 0.7 mm (R² = 0.221; AUC = 0.761).

Conclusions: Our results highlight the importance of properly controlling glucose metabolism in CHD patients, in younger populations in particular, providing an easy way of categorizing patients with an increased IMT-CC. Moreover, glucose concentration at 120 min could contribute to CVD risk and its determination could be used as a predictive tool to identify those CHD patients at the highest risk.

Keywords: Age; Coronary heart disease; Glycemic control; Intima media thickness; OGTT; Posprandial glycemia.