First author Boris Kovatchev said: “The landmark 10-year, 1,440-person Diabetes Control and Complications Trial (DCCT), ...

Fourteen-day continuous glucose monitoring (CGM) traces added to Diabetes Control and Complications Trial (DCCT) data can predict microvascular diabetes complications similarly to glycated hemoglobin.

In a new study, researchers found that time-in-range for healthy blood sugar could be a viable marker of glycemic control and potentially could be used to predict complications of type 1 diabetes.

Data from continuous glucose monitors can predict nerve, eye and kidney damage caused by type 1 diabetes ... was as good a predictor of neuropathy, retinopathy and nephropathy as the standard ...

Fundus photography involves taking a photo of the back of the eye to detect signs of diabetic retinopathy. It is also possible to capture an image of the retina using a smartphone. Diabetic ...

Time-in-range computed from virtual CGM data predicts retinopathy ... of CGM metrics with microvascular complications of type 1 diabetes observed during the DCCT and established time-in-range ...