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Diabetes complications are disorders that arise as a result of the patient having diabetes. The high blood sugar levels that often present in patients with diabetes cause damage to various tissues and organs, which increases the risk of cardiovascular disease and can result in disorders such as diabetic retinopathy.
In a retrospective cohort study examining the comparative effectiveness of diabetes drugs in adults at moderate risk for cardiovascular disease, GLP-1 receptor agonists and SGLT2 inhibitors reduced the risk of cardiovascular events compared to DPP4 inhibitors, whereas sulfonylureas increased the risk.
Dwibedi et al. carry out a randomized controlled trial to evaluate whether subgroups of patients with diabetes could receive the greatest metabolic benefit from novel anti-diabetic drugs.
An article in Advanced Healthcare Materials reports a 4D-printed hydrogel dressing that shrinks at body temperature and promotes healing in chronic diabetic wounds.
We developed and validated a deep learning system (termed DeepDR Plus) in a diverse, multiethnic, multi-country dataset to predict personalized risk and time to progression of diabetic retinopathy. We show that DeepDR Plus can be integrated into the clinical workflow to promote individualized intervention strategies for the management of diabetic retinopathy.
