Tianjin Medical Journal

Tianjin Med J ›› 2016, Vol. 44 ›› Issue (8): 943-947.doi: 10.11958/20150325

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Impact of advanced glycation end products on the association of sleep disorders and incident cardiovascular events in patients with type 2 diabetes

WANG Shanshan, MENG Lingling, LI Yuzhu, ZHANG Min, ZHU Nannan, LIU Yuxiang, LI Daiqing?   

  1. Key Laboratory of Hormones and Development (Ministry of Health), Metabolic Diseases Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300070, China
  • Received:2015-11-25 Revised:2016-03-27 Published:2016-08-15 Online:2016-08-22
  • Contact: LI Daiqing E-mail：Daiqingli68@163.com E-mail:docterwss@163.com

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Abstract: Abstract: Objective To analyze the relevance of sleep disorders in type 2 diabetes (T2D) patients with cardiovascular disease (CVD), and to explore the influence of advanced glycation end products (AGEs) in the pathogenetic process of sleep disorder in the morbidity of CVD. Methods A total of 586 T2D patients were recruited and their sleep qualities were evaluated by the Pittsburgh Sleep Quality Index (PSQI). Patients were divided into two groups according to PSQI score, one was sleep disorder group (PSQI score≥7， n=240) and the other was non-sleep disorder group (PSQI score<7， n=346). AGEs were measured by AGEs detector (DiagnOpyics) with fluorescence spectrum detecting method. Logistic regression analysis was performed to examine the associations of the sleep disorder, AGEs and CVD. We adjusted for major confounding factors expected to affect the morbidity of CVD. The CVD was input as dependent variables (Yes=1, NO=0) and sleep disorder, AGEs were respectively input as independent variables. Multiple linear regression models were used to examine the associations of AGEs and PSQI score. Results The morbidity of CVD, AGEs and PSQI score were significantly higher in sleep disorder group compared to those of non-sleep disorder group (P < 0.05). PSQI score was positively related to the morbidity of CVD (rs=0.180,P＜0.05),PSQI score was positively related to AGEs (r=0.549, P＜0.001), AGEs score was positively related to the morbidity of CVD (rs=0.265, P＜0.001). Results of multiple linear regression showed that AGEs increases with the increase of PSQI score (β=0.504,P < 0.05). Logistic regression analysis showed the higher PSQI score (OR=1.063, 95%CI: 1.019-1.109, P=0.005) and elevated AGEs (OR=2.144, 95%CI: 1.430-3.214, P＜0.001) were risk factors for CVD in T2D patients. Conclusion Sleep disorders are a risk factor for CVD in T2D patients, and which may be mediated by AGEs.

Key words:  glycosylation end products, advanced, diabetes mellitus, type 2, cardiovascular diseases, sleep disorders, Pittsburgh sleep quality index