Combining Glucose Monitoring and Insulin Infusion in an Integrated Device: A Narrative Review of Challenges and Proposed Solutions.
Michael SchoemakerAnna MartenssonJulia Katharina MaderKirsten NørgaardGuido FreckmannPierre Yves BenhamouPeter DiemLutz HeinemannPublished in: Journal of diabetes science and technology (2023)
The introduction of automated insulin delivery (AID) systems has enabled increasing numbers of individuals with type 1 diabetes (T1D) to improve their glycemic control largely. However, use of AID systems is limited due to their complexity and costs associated. The user must wear both a continuously monitoring glucose system and an insulin infusion pump. The glucose sensor and the insulin catheter must be inserted at two different body sites using different insertion devices. In addition, the user must pair and manage the different systems. These communicate with the AID software implemented on the pump or on a third device such as a dedicated display device or smart phone application. These components might be developed and commercialized by different manufacturers, which in turn can cause difficulties for patients seeking technical support. A possible solution to these challenges would be to integrate the glucose sensor and insulin catheter into a single device. This would allow the glucose sensor and insulin catheter to be inserted simultaneously, eliminating the need for pairing, and simplifying system management. In recent years, different technologies have been developed and evaluated in clinical investigations that combine the glucose sensor and the insulin catheter in one platform. The consistent finding of all these studies is that integration has no adverse effect on insulin infusion and glucose measurements provided that certain conditions are met. In this review, we discuss the perceived challenges of such an approach and discuss possible solutions that have been proposed.
Keyphrases
- glycemic control
- type diabetes
- blood glucose
- end stage renal disease
- weight loss
- low dose
- insulin resistance
- chronic kidney disease
- high throughput
- depressive symptoms
- ejection fraction
- machine learning
- newly diagnosed
- physical activity
- sensitive detection
- peritoneal dialysis
- adipose tissue
- skeletal muscle
- tyrosine kinase
- fluorescent probe