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JOURNAL ARTICLE

[Association of glycaemic variability and carotid intima-media thickness in patients with type 2 diabetes mellitus]

Xiao-Jie Yang, Hua He, Xia-Fei Lü, Xiao-Rong Wen, Chun Wang, Da-Wei Chen, Xiu-Jun Li, Xing-Wu Ran
Sichuan da Xue Xue Bao. Yi Xue Ban, Journal of Sichuan University. Medical Science Edition 2012, 43 (5): 734-8
23230750

OBJECTIVE: To investigate the relationship between blood glucose fluctuations and carotid intima-media thickness (CIMT) in type 2 diabetic patients.

METHODS: 64 patients with type 2 diabetes mellitus (T2DM) in the Department of Endocrinology and Metabolism, West China Hospital from July 2009 to March 2012 were recruited in this study. The CIMT were measured bilaterally with high-resolution ultrasonography. The glucose excursions were assessed by the following parameters obtained from the continuous glucose monitoring system (CGMS) for 72 h: mean blood glucose (MBG) and its standard deviation (SD), mean amplitude of glycemic excursion (MAGE), mean of daily differences (MODD). Glycosylated hemoglobin (HbAlc), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-c), and low-density lipoprotein cholesterol (LDL-c) of the participants were also determined. According to the levels of CIMT, 64 diabetic patients were classified into two groups: diabetes mellitus without atherosclerosis (A group, n = 37) and diabetes mellitus with atherosclerosis (B group, n = 27). The relationship between the parameters of glycaemic variability and CIMT was examined.

RESULTS: (1) There were no differences between A group and B group with regard to gender composition, course of diabetes, body mass index (BMI), diabetic chronic complications, family history of diabetes, smoking, alcohol drinking, diastolic blood pressure (DBP), TG, TC, HDL-c, SD and MAGE (P > 0.05). A group had younger age and lower levels of systolic blood pressure (SBP), LN(LDL-c) and LN (MODD) than B group (P < 0.05). (2) Pearson correlation analyses showed that CIMT was positively correlated with age (r = 0.370, P = 0.005), LN (LDL-c) (r = 0.325, P = 0.009), SD (r = 0.251, P = 0.045) and LN (MODD) (r = 0.346, P = 0.005). (3) Age, smoking, LN (LDL-c) and LN (MODD) were identified as predictors for CIMT in the multiple linear regression analysis.

CONCLUSION: Glucose excursions may contribute to the development of atherosclerosis in patients with type 2 diabetes, which is independent from HbA1c levels.

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