Ophthalmology

Specific A1c, glucose ranges associated with diabetes-specific vision impairment.

Study assesses glycemic variability via continuous glucose monitoring and compares it against incidence of diabetic retinopathy to determine if correlation exists.

Development of diabetic retinopathy found to be significantly reduced.

New findings compare treatment with patients taking two or more glucose-lowering agents.

Software provides screening decision without need for a clinician to interpret image or results.

By A. Paul Chous, MA, OD, FAAO, CDE

The FDA just gave first approval to an artificial intelligence (AI) algorithm for the detection of diabetic retinopathy in the offices of non-ophthalmic health care practitioners. Dubbed the IDx-DR (IDx, LLC, Coralville, Iowa), and paired with a Topcon NW400 non-mydriatic retinal camera, captured images are sent to a cloud-based server that utilizes the IDx-DR software and a ‘deep learning’ algorithm to detect retinal findings consistent with diabetic retinopathy based on autonomous comparison with a large dataset of representative fundus images.

Serum bilirubin is inversely correlated with diabetic retinopathy predicting progression of retinopathy over time.

Big changes to affect small vessels.

Race, socioeconomic status thought reasons behind lack of adherence to the recommendations.

Improvements in assessment and treatment of diabetic retinopathy position statement