Assessment of cardiovascular disease risk in people with diabetes
Research type
Research Study
Full title
Assessment of stroke and coronary heart disease (CHD) risk in people with type 2 diabetes using Automatic Retinal Image Analysis (ARIA) - Are they the same or different?
IRAS ID
239521
Contact name
David Owens
Contact email
Sponsor organisation
Swansea University
Duration of Study in the UK
1 years, 0 months, 1 days
Research summary
Can photographs of the back of the eye (retina) for people with type 2 diabetes be used to assess stroke and heart disease risk?
Heart disease and stroke, is a leading cause of morbidity and mortality especially in people with type 2 diabetes worldwide. Many risk prediction calculators have been developed to predict someones risk of heart disease and stroke. However, they vary in their effectiveness especially in people with an already increased risk due to other conditions such as type 2 diabetes. The high costs and access to diagnostic equipment all present difficulties when conducting population screening for heart disease and stroke. Therefore, a more convenient and inexpensive risk prediction model for people with diabetes would be of considerable advantage. Identifying those at high risk of heart disease and stroke within 5 years would allow preventative treatments to be employed to reduce the risk and even delay or possibly prevent the event occurring.
Previous studies have demonstrated that vessels in the back of the eye have predictive significance for heart disease and stroke. A risk prediction model which measure changes in the vessels in the back of the eye has been developed and tested in a population in Hong Kong. Therefore, the aim of this study is to evaluate the models effectiveness to predict both heart disease and stroke in Caucasian people with type 2 diabetes undergoing routine screening for diabetic eye disease with the diabetic eye screening Wales. The study is retrospective using the eye photographs collected over the previous screening events and all personal data will be removed before analysis. This study has been funded by the Government of Hong Kong.
REC name
Wales REC 6
REC reference
18/WA/0203
Date of REC Opinion
9 Jul 2018
REC opinion
Further Information Favourable Opinion