Microvascular

Microvascular A65 (P462)Retinal microvascular biomarkers are associated with incidence and progression of diabetic retinopathy in Type 2 diabetes: A GoDARTS‐VAMPIRE studyTM LI1, C Palmer1, E Pearson2, T MacGillivray3, E Trucco4, L Ballerini5, R Wang4, D Relan4, GJ McKay6 and A Doney71Ninewells Hospital and Medical School, University of Dundee, Dundee, UK, 2Division of Molecular & Clinical Medicine, Ninewells Hospital and Medical School, Dundee, UK, 3Biomedical Research Institute, Ninewells Hospital and Medical School, Dundee, UK, 4Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK, 5Computer Vision and Image Processing Group, University of Dundee, Dundee, UK, 6Centre for Public Health, Queen's University Belfast, Belfast, UK, 7Medicines Monitoring Unit, Ninewells Hospital and Medical School, Dundee, UKAim: Early risk prediction of diabetic retinopathy (DR) would significantly enhance clinical prevention strategies. We aimed to determine the value of retinal vascular parameters (RVPs) as biomarkers for incidence and progression of DR from 4,461 patients with Type 2 diabetes.Method: We used VAMPIRE 3.1 software to measure central retinal artery and vein equivalent, their ratio (artery and vein ratio, AVR), arteriolar and venular tortuosity (TortA, TortV), and fractal dimension (Da, Dv) in diabetes retinal screening photographs (DRS) in GoDARTS. Cox's proportional hazards were used to model the impact http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Diabetic Medicine Wiley

Microvascular

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Publisher
Wiley Subscription Services, Inc., A Wiley Company
Copyright
Diabetic Medicine © 2018 Diabetes UK
ISSN
0742-3071
eISSN
1464-5491
D.O.I.
10.1111/dme.12_13570
Publisher site
See Article on Publisher Site

Abstract

A65 (P462)Retinal microvascular biomarkers are associated with incidence and progression of diabetic retinopathy in Type 2 diabetes: A GoDARTS‐VAMPIRE studyTM LI1, C Palmer1, E Pearson2, T MacGillivray3, E Trucco4, L Ballerini5, R Wang4, D Relan4, GJ McKay6 and A Doney71Ninewells Hospital and Medical School, University of Dundee, Dundee, UK, 2Division of Molecular & Clinical Medicine, Ninewells Hospital and Medical School, Dundee, UK, 3Biomedical Research Institute, Ninewells Hospital and Medical School, Dundee, UK, 4Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK, 5Computer Vision and Image Processing Group, University of Dundee, Dundee, UK, 6Centre for Public Health, Queen's University Belfast, Belfast, UK, 7Medicines Monitoring Unit, Ninewells Hospital and Medical School, Dundee, UKAim: Early risk prediction of diabetic retinopathy (DR) would significantly enhance clinical prevention strategies. We aimed to determine the value of retinal vascular parameters (RVPs) as biomarkers for incidence and progression of DR from 4,461 patients with Type 2 diabetes.Method: We used VAMPIRE 3.1 software to measure central retinal artery and vein equivalent, their ratio (artery and vein ratio, AVR), arteriolar and venular tortuosity (TortA, TortV), and fractal dimension (Da, Dv) in diabetes retinal screening photographs (DRS) in GoDARTS. Cox's proportional hazards were used to model the impact

Journal

Diabetic MedicineWiley

Published: Jan 1, 2018

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