| Institution: | 1. Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People''s Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China;2. Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China;3. University of Science and Technology of China, Hefei, 230026, China;1. Department of Medicine, University of Padova, Padua, Italy;2. Section of Endocrinology, Diabetes and Metabolism, Department of Medicine, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy;3. Diabetology Service ULSS6 Padua, Italy;4. Diabetology Service ULSS6, Monselice, Italy;5. ULSS2 Diabetology Service, Treviso, Italy;6. Internal Medicine and Diabetology Service, ULSS6, Cittadella, Italy;1. Department of Earth, Environment and Life Sciences (DISTAV), University of Genova, Corso Europa 26, 16132, Italy;2. Nanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genoa, Italy;3. Clinica Medica “A. Murri”, Dept. of Biomedical Sciences and Human Oncology, Medical School, University of Bari “Aldo Moro”, Italy;1. Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy;2. Department of Clinical and Experimental Medicine, University Hospital “G. Martino”, Lipid Center, University of Messina, Messina, Italy;1. Department of Internal Medicine, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 110-744, South Korea |
| Abstract: | Background and aimsAdvanced glycation end products (AGEs) are reported to be correlated with diabetic vascular complications. This study aimed to investigate the association between AGEs and carotid atherosclerosis (CAS) as a surrogate marker of cardiovascular disease (CVD).Methods and resultsA total of 1006 patients with type 2 diabetes were included. CAS was defined as the presence of carotid arterial atherosclerotic plaque in any of bilateral carotid artery segments measured by ultrasonography. AGEs were measured by the noninvasive skin autofluorescence method. AGEage index was calculated as AGEs × age/100. Patients with CAS showed a significantly higher AGEage (P < 0.01), and the prevalence of CAS increased with ascending AGEage levels (P for trend < 0.001). Logistic regression analysis revealed that AGEage was significantly positively associated with odds of CAS, and the odds ratios of the presence of CAS across quartiles of AGEage were 1.00, 3.00 95% confidence interval (CI) 1.90–4.74], 4.04 (95%CI 2.50–6.53) and 4.99 (95%CI 2.97–8.40) for the multivariable-adjusted model (P for trend <0.001), respectively. In the fully adjusted model, each 5.0 increase in AGEage was associated with a 0.019 mm increment in carotid intima-media thickness. Furthermore, AGEage presented an acceptable predictive value for CAS, with an optimal cutoff point of 43.2, and the sensitivity, specificity and area under the curve (AUC) were 74.5% (95%CI 70.7–78.1%), 61.9% (95%CI 57.2–66.4%) and 0.735 (0.706–0.762), respectively.ConclusionAGEage, the noninvasive measurement of AGEs combined with age is a promising approach for triaging patients at high risk of CVDs. |
