![]() ![]() ![]() This project used data from the UKBB study under approved project number 6507 and 36741. The present study details the methods used to manually grade these images and aims to (i) describe the subcohort of participants who attended for retinal imaging (ii) characterise individuals with retinal features suggestive of AMD, glaucoma and retinopathy. UKBB has accrued a wealth of phenotypic, genetic imaging data, including colour fundus photographs and OCT scans obtained for a subset of participants between 20. UK Biobank (UKBB) is a large, prospective population-based cohort study including >500,000 UK residents aged between 37 and 73 years, registered with the National Health Service. ![]() There is furthermore growing evidence that retinal imaging may yield valuable ocular biomarkers for systemic disorders, including cardiovascular disease and dementia. They provide a cost-effective and safe method for diagnosing and monitoring disease progression, and for identifying individuals at risk of developing eye disease who may benefit from early intervention. Optical coherence tomography (OCT) scans and fundus colour photographs are non-invasive imaging techniques capable of detecting retinal changes at exquisite resolution. Economic modelling by the Fight for Sight charity suggests that reducing the prevalence of AMD, glaucoma and type 2 diabetes-related retinopathy by just 1% each year could save the UK economy £1.2 billion, £325 million and £150 million, respectively, by 2050. Timely detection and intervention can prevent sight loss and improve socioeconomic outcomes. The annual cost to the UK economy associated with eye conditions is estimated at £25.2 billion, and this is projected to reach £33.5 billion by 2050. Sight loss can have a profound impact on quality of life, restricting social participation and impairing mental and physical health. The number of individuals with diabetic retinopathy (DR), a leading cause of blindness in the working age population, is also growing in line with the rising prevalence of diabetes. Population ageing is leading to substantial increases in the number of individuals affected by age-related sight-impairing conditions such as age-related macular degeneration (AMD) and glaucoma, the commonest causes of irreversible blindness globally. This dataset represents a valuable addition to what is currently available in UKBB, providing important insights to both ocular and systemic health.Īn estimated 2.5 million people in the UK are currently living with sight loss and this is projected to increase to 3.5 million by 2050. Of 264 participants identified to have retinopathy with microaneurysms, 251 (95.1%) had either diabetes or hypertension. Retinal features suggestive of AMD and glaucoma were identified in 15,1 participants, of whom 125 (0.8%) and 188 (8.6%), respectively, had a recorded diagnosis. A total of 64,367 participants had gradable colour fundus photographs and 68,281 had gradable OCT scans in at least one eye. ResultsĪmong 68,514 UKBB participants who underwent retinal imaging, the mean age was 57.3 years (standard deviation 8.2), 45.7% were men and 90.6% were of White ethnicity. Suspected cases of these conditions were characterised with reference to diagnostic records, physical and biochemical measurements. Captured retinal features included those associated with AMD (≥1 drusen, pigmentary changes, geographic atrophy or exudative AMD either imaging modality), glaucoma (≥0.7 cup-disc ratio, ≥0.2 cup-disc ratio difference between eyes, other abnormal disc features photographs only) and retinopathy (characteristic features of diabetic retinopathy with or without microaneurysms either imaging modality). Non-mydriatic colour fundus photographs and macular optical coherence tomography (OCT) scans were manually graded by Central Administrative Research Facility certified graders and quality assured by clinicians of the Network of Ophthalmic Reading Centres UK. This study aims to describe the grading methods and baseline characteristics for UK Biobank (UKBB) participants who underwent retinal imaging in 2009–2010, and to characterise individuals with retinal features suggestive of age-related macular degeneration (AMD), glaucoma and retinopathy. ![]()
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