Review
Screening for diabetic retinopathy: new perspectives and challenges

https://doi.org/10.1016/S2213-8587(19)30411-5Get rights and content

Summary

Although the prevalence of all stages of diabetic retinopathy has been declining since 1980 in populations with improved diabetes control, the crude prevalence of visual impairment and blindness caused by diabetic retinopathy worldwide increased between 1990 and 2015, largely because of the increasing prevalence of type 2 diabetes, particularly in low-income and middle-income countries. Screening for diabetic retinopathy is essential to detect referable cases that need timely full ophthalmic examination and treatment to avoid permanent visual loss. In the past few years, personalised screening intervals that take into account several risk factors have been proposed, with good cost-effectiveness ratios. However, resources for nationwide screening programmes are scarce in many countries. New technologies, such as scanning confocal ophthalmology with ultrawide field imaging and handheld mobile devices, teleophthalmology for remote grading, and artificial intelligence for automated detection and classification of diabetic retinopathy, are changing screening strategies and improving cost-effectiveness. Additionally, emerging evidence suggests that retinal imaging could be useful for identifying individuals at risk of cardiovascular disease or cognitive impairment, which could expand the role of diabetic retinopathy screening beyond the prevention of sight-threatening disease.

Introduction

Diabetic retinopathy remains the leading cause of vision loss and preventable blindness in adults aged 20–74 years, particularly in middle-income and high-income countries.1 In a meta-analysis of 35 studies done worldwide between 1980 and 2008, researchers estimated an overall prevalence of 34·6% (95% CI 34·5–34·8) for any diabetic retinopathy, 6·96% (6·87–7·04) for proliferative diabetic retinopathy, 6·81% (6·74–6·89) for diabetic macular oedema, and 10·2% (10·1–10·3) for vision-threatening diabetic retinopathy among people with diabetes.2 Prevalence of any diabetic retinopathy and proliferative diabetic retinopathy was higher in people with type 1 diabetes than in people with type 2 diabetes.2

Although the proportion of people with diabetes developing proliferative diabetic retinopathy and severe visual loss has been declining between 1980 and 2008 in populations with improved diabetes control,3 the crude prevalence of visual impairment and blindness caused by diabetic retinopathy increased substantially between 1990 and 2015 according to the latest report of the Vision Loss Expert Group of the Global Burden of Disease Study,4 largely because of the increasing prevalence of type 2 diabetes in low-income and middle-income countries. Thus, the number of people affected by blindness due to diabetic retinopathy increased from 0·2 million to 0·4 million, and moderate to severe vision impairment increased from 1·4 million to 2·6 million.4 Furthermore, it has been estimated that the number of people with diabetes affected by any diabetic eye disease in Europe will increase from 6·4 million in 2019 to 8·6 million in 2050, and that 30% of affected individuals will require close monitoring or treatment.5

Few population-based studies examining the incidence of diabetic retinopathy have been done since 2000. The incidence of diabetic retinopathy was higher in studies from before 2000 than in those reported after 2000.6 However, contemporary studies that include more data from low-income and middle-income countries are needed.

Screening for diabetic retinopathy is necessary to detect referable cases that need timely full ophthalmic examination and treatment to avoid permanent visual loss. However, the resources for nationwide screening programmes are not sufficient in many countries. The new technologies based on artificial intelligence, which permit to implement personalised predictive models, the use of telemedicine, and portable imaging devices, are changing the screening strategies and are improving the cost-effectiveness of screening. In this Review, these new tools—which are changing the landscape of screening strategies—will be analysed. In addition, we will comment on the possibility of using retinal examination to identify patients at risk of cardiovascular disease and cognitive impairment, thus expanding the role of the screening of diabetic retinopathy.

Section snippets

Risk factors for diabetic retinopathy

The most relevant risk factors for the development of diabetic retinopathy are the duration of diabetes, poor glycaemic control (high HbA1c and the presence of hypertension. Notably, blood glucose control has a stronger effect than blood pressure control on the risk of developing diabetic retinopathy.7, 8, 9, 10

Other risk factors for diabetic retinopathy include dyslipidaemia, high BMI, puberty, pregnancy, and cataract surgery.2 However, clinical studies on patients living with diabetes have

The cost-effectiveness of screening

Several studies from different countries around the world have been done to investigate the cost-effectiveness of screening for diabetic retinopathy, especially vision-threatening retinopathy.17, 18, 19 Cost-effectiveness of population-based screening programmes is heavily dependent on the frequency of retinal examinations and retinal imaging.20 Extending the screening interval from annual to every 2 or 3 years in patients with diabetes who had no evidence of any retinopathy at first eye

Current guidelines and procedures

The most recent guidelines and procedures for diabetic retinopathy screening were reported by the International Council of Ophthalmology in 2018 as part of their guidelines for diabetic eye care,33 and by the American Diabetes Association in the same year as part of their position statement on diabetic retinopathy.34 The American Diabetes Association recommends a well-defined first eye examination with different timing depending on the type of diabetes, supported by a moderate level (level B)

Novel methods of retinal imaging for ocular telehealth programmes

Recent technological advances in diabetic retinopathy screening fall into three categories: image capture, image analysis, and risk assessment. Novel methods of image capture include the use of scanning (laser) confocal ophthalmoscope-based cameras with ultrawide field imaging or conventional cameras with improvements, such as the use of handheld mobile devices. Automated image analysis and use of artificial intelligence can make an important contribution in teleophthalmology not only for the

Retinopathy screening and other diabetes complications

Apart from retinal neurovascular disease, the presence of diabetic retinopathy means that microcirculation has already been damaged by the diabetic milieu. Therefore, diabetic retinopathy can be considered a reliable marker of the deleterious effects of diabetes in an individual. Accordingly, diabetic retinopathy identifies a subset of the population with diabetes that is at a high risk of developing not only other microangiopathic complications (diabetic nephropathy and diabetic neuropathy,

Conclusions

Health-care affordability, quality, and accessibility for diabetic retinopathy screening are important factors in the prevention of blindness in populations at risk. The combination of automated retinal image analysis and telemedicine has the potential to substantially improve how diabetes eye care is delivered by providing automated real-time assessment in a more personalised way. Additionally, the introduction of new technologies for diabetic retinopathy screening will improve its

Search strategy and selection criteria

We searched PubMed and Google Scholar for articles published in English from database inception up to Nov 10, 2019, using the search terms “diabetic retinopathy”, “screening of diabetic retinopathy”, “retinal imaging”, “retinal neurodegeneration”, “tele-ophthalmology”, “artificial intelligence”, “diabetic complications”, “diabetic retinopathy and cardiovascular disease”, and “diabetic retinopathy and dementia” (alone and in combination). We also searched the reference lists of original research

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