1. Usefulness of skin advanced glycation end products to predict coronary artery calcium score in patients with type 2 diabetes
- Author
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Esther García, Ignacio Ferreira-González, Olga Simó-Servat, Marisol Ruiz-Meana, Mónica Amores Sánchez, Jordi Bañeras, Cristina Hernández, Angel Ortiz, Alejandra Planas, and Rafael Simó
- Subjects
Glycation End Products, Advanced ,medicine.medical_specialty ,endocrine system diseases ,Endocrinology, Diabetes and Metabolism ,Population ,030209 endocrinology & metabolism ,Type 2 diabetes ,Disease ,030204 cardiovascular system & hematology ,Logistic regression ,Coronary artery disease ,03 medical and health sciences ,0302 clinical medicine ,Endocrinology ,Risk Factors ,Glycation ,Internal medicine ,Diabetes mellitus ,Internal Medicine ,medicine ,Humans ,cardiovascular diseases ,education ,education.field_of_study ,Coronary artery calcium score ,business.industry ,nutritional and metabolic diseases ,General Medicine ,medicine.disease ,Coronary Vessels ,Diabetes Mellitus, Type 2 ,Case-Control Studies ,cardiovascular system ,Cardiology ,population characteristics ,Calcium ,business - Abstract
The early identification of type 2 diabetic (T2D) patients at risk of developing coronary artery disease (CAD) remains a challenge. The coronary artery calcium score (CACs) is considered the most sensitive tool for assessing CAD risk in diabetic population, and the identification of a more targeted population in which the CACs would be more cost-efficient seems warranted. The accumulation of advanced glycation end products plays an important role in the pathogenesis of cardiovascular disease (CVD) in patients with diabetes. The aim of this study was to evaluate whether the assessment of skin autofluorescence (SAF) could be useful tool to identify those diabetic patients in whom CACs assessment should be prioritized. Prospective case–control study, comprising 156 subjects with T2D with no history of clinical CVD and 52 non-diabetic subjects matched by age. A value of CACs ≥ 400 Agatston Units (AU) was considered as “high CVD risk.” Logistic regression analysis to predict a CACs ≥ 400 AU was performed. Sensibility and specificity were calculated using the optimal cutoff point based on ROC curve. T2D patients had higher value of SAF compared to controls (p = 0.011). Among subjects with diabetes, 122 presented CACs
- Published
- 2021
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