AIMS: Skin autofluorescence is a non-invasive marker of advanced glycation end product accumulation. In a previous study, skin autofluorescence correlated with and predicted micro- and macrovascular complications in Type 2 diabetes in a primary care setting. The present cross-sectional study aims to confirm the association between skin autofluorescence and diabetic complications in patients with Type 2 diabetes in a multi-centre secondary care setting. METHODS: We analysed 563 subjects with Type 2 diabetes mellitus from five Dutch hospitals. RESULTS: Median age was 64 years, median duration of diabetes 13 years and median HbA(1c) 58 mmol/mol (7.5%). Sixty-one per cent of patients had microvascular complications (38% nephropathy, 36% retinopathy, 35% neuropathy) and 42% had macrovascular complications. Median UK Prospective Diabetes Study 10-year risk for coronary events was 19%. Median skin autofluorescence was elevated compared with age-matched healthy control subjects: 2.77 (interquartile range 2.39-3.28) vs. 2.46 (2.08-2.84) arbitrary units. Skin autofluorescence was particularly increased in patients with complications: no complications, median 2.56 (2.26-2.90); microvascular complications, 2.79 (2.38-3.29); macrovascular complications, 2.85 (2.41-3.41); both micro- and macrovascular complications, 2.96 (2.56-3.60) arbitrary units, P < 0.001. Logistic regression analysis showed that age, duration of diabetes, renal function, gender, atrial fibrillation and skin autofluorescence were independently associated with macrovascular complications. Multiple regression analysis identified age, smoking, renal function, macrovascular complications and the number of microvascular complications as the determinants of skin autofluorescence. CONCLUSIONS: This study confirms that skin autofluorescence is increased in patients with Type 2 diabetes in a secondary care setting. Skin autofluorescence was associated with macrovascular complications in patients with diabetes and this association was independent of classical risk factors.
AIMS: Skin autofluorescence is a non-invasive marker of advanced glycation end product accumulation. In a previous study, skin autofluorescence correlated with and predicted micro- and macrovascular complications in Type 2 diabetes in a primary care setting. The present cross-sectional study aims to confirm the association between skin autofluorescence and diabetic complications in patients with Type 2 diabetes in a multi-centre secondary care setting. METHODS: We analysed 563 subjects with Type 2 diabetes mellitus from five Dutch hospitals. RESULTS: Median age was 64 years, median duration of diabetes 13 years and median HbA(1c) 58 mmol/mol (7.5%). Sixty-one per cent of patients had microvascular complications (38% nephropathy, 36% retinopathy, 35% neuropathy) and 42% had macrovascular complications. Median UK Prospective Diabetes Study 10-year risk for coronary events was 19%. Median skin autofluorescence was elevated compared with age-matched healthy control subjects: 2.77 (interquartile range 2.39-3.28) vs. 2.46 (2.08-2.84) arbitrary units. Skin autofluorescence was particularly increased in patients with complications: no complications, median 2.56 (2.26-2.90); microvascular complications, 2.79 (2.38-3.29); macrovascular complications, 2.85 (2.41-3.41); both micro- and macrovascular complications, 2.96 (2.56-3.60) arbitrary units, P < 0.001. Logistic regression analysis showed that age, duration of diabetes, renal function, gender, atrial fibrillation and skin autofluorescence were independently associated with macrovascular complications. Multiple regression analysis identified age, smoking, renal function, macrovascular complications and the number of microvascular complications as the determinants of skin autofluorescence. CONCLUSIONS: This study confirms that skin autofluorescence is increased in patients with Type 2 diabetes in a secondary care setting. Skin autofluorescence was associated with macrovascular complications in patients with diabetes and this association was independent of classical risk factors.
Authors: Fabrice Mac-Way; Véronique Couture; Mihai S Utescu; Sophie Ignace; Sacha A De Serres; Renée-Claude Loignon; Karine Marquis; Richard Larivière; Mohsen Agharazii Journal: Int Urol Nephrol Date: 2013-11-17 Impact factor: 2.370
Authors: Malindu E Fernando; Robert G Crowther; Peter A Lazzarini; Kunwarjit S Sangla; Scott Wearing; Petra Buttner; Jonathan Golledge Journal: J Diabetes Sci Technol Date: 2019-06-16
Authors: Alicia J Jenkins; Mugdha V Joglekar; Anandwardhan A Hardikar; Anthony C Keech; David N O'Neal; Andrzej S Januszewski Journal: Rev Diabet Stud Date: 2015-08-10
Authors: Delnaz Roshandel; Ronald Klein; Barbara E K Klein; Bruce H R Wolffenbuttel; Melanie M van der Klauw; Jana V van Vliet-Ostaptchouk; Gil Atzmon; Danny Ben-Avraham; Jill P Crandall; Nir Barzilai; Shelley B Bull; Angelo J Canty; S Mohsen Hosseini; Linda T Hiraki; John Maynard; David R Sell; Vincent M Monnier; Patricia A Cleary; Barbara H Braffett; Andrew D Paterson Journal: Diabetes Date: 2016-04-12 Impact factor: 9.461