Optimising the impact of glucose sensors

“Real time vs. Flash glucose monitoring in type 1 diabetes - a cross over trial”

In this study they will perform a randomised cross-over study to investigate the effects of different types of glucose sensors. Outcomes include accuracy, glycemic control and patient reported outcomes. Furthermore, to improve the accuracy of sensors the aim is to update the glucose measurement algorithm with heart-rate data. For this purpose a collaboration between the University Medical Center Groningen (UMCG) and Menarini is established. 

Diabetes mellitus is the most common chronic disease in the Netherlands. Glucose sensors are increasingly used for the management of diabetes, it has been showed that glucose sensors improve glycemic control, quality of life and lower disease burden, diabetes related hospital admissions and work absentism. As accuracy is of utmost importance, the researchers also aim to upgrade the sensor algorithm with heartrate data.

In this study they aim to collect data on the impact of different types of glucose sensors. For this purpose a randomised cross-over study is performed among persons with diabetes mellitus.

Data derived from this study can aid in the decision which sensor should be used and/or reimbursed. In addition, this project will result in an updated sensor algorithm.

Glucose sensors are a novel and valuable method to measure glucose in persons with diabetes. There are currently two types of glucose sensors; continuous (real-time) and intermittent (flash) sensors. In this project the aim is to investigate the impact of the different types of sensors. In addition, they will try to improve the accuracy of the (real-time) glucose sensors using heart-rate data.
Technology Readiness Level (TRL)
8 - 9
Time period
18 months