Pediatric Diabetic Retinopathy: Updates in Prevalence, Risk Factors, Screening, and Management.
Tyger LinRose A Gubitosi-KlugRoomasa ChannaT Y Alvin LiuPublished in: Current diabetes reports (2021)
While DR has long been considered a microvascular complication, recent data suggests that retinal neurodegeneration may precede the vascular changes associated with DR. The prevalence of DR has decreased in type 1 diabetes (T1D) patients following the results of the Diabetes Control and Complications Trial and implementation of intensive insulin therapy, with prevalence ranging from 14-20% before the year 2000 to 3.7-6% after 2000. In contrast, the prevalence of diabetic retinopathy in pediatric type 2 diabetes (T2D) is higher, ranging from 9.1-50%. Risk factors for diabetic retinopathy are well established and include glycemic control, diabetes duration, hypertension, and hyperlipidemia, whereas diabetes technology use including insulin pumps and continuous glucose monitors has been shown to have protective effects. Screening for DR is recommended for youth with T1D once they are aged ≥ 11 years or puberty has started and diabetes duration of 3-5 years. Pediatric T2D patients are advised to undergo screening at or soon after diagnosis, and annually thereafter, due to the insidious nature of T2D. Recent advances in DR screening methods including point of care and artificial intelligence technology have increased access to DR screening, while being cost-saving to patients and cost-effective to healthcare systems. While the prevalence of diabetic retinopathy in youth with T1D has been declining over the last few decades, there has been a significant increase in the prevalence of DR in youth with T2D. Improving access to diabetic retinopathy screening using novel screening methods may help improve detection and early treatment of diabetic retinopathy.
Keyphrases
- diabetic retinopathy
- type diabetes
- glycemic control
- risk factors
- optical coherence tomography
- cardiovascular disease
- blood glucose
- healthcare
- artificial intelligence
- ejection fraction
- editorial comment
- newly diagnosed
- mental health
- physical activity
- machine learning
- insulin resistance
- weight loss
- skeletal muscle
- randomized controlled trial
- bone marrow
- primary care
- prognostic factors
- computed tomography
- mesenchymal stem cells
- study protocol
- open label
- social media
- quantum dots
- patient reported