Type 1 Diabetes Mellitus Clinical Trial
Official title:
An Open-label, Three-centre, Randomised, Two-period, Crossover Study to Assess the Efficacy, Safety and Utility of Real-time Continuous Subcutaneous Glucose Monitoring Combined With Overnight Closed-loop Glucose Control in the Home Setting in Comparison With Real-time Continuous Subcutaneous Glucose Monitoring Alone in Adults With Type 1 Diabetes on Subcutaneous Insulin Infusion Pump Therapy
The main study objective is to compare real-time continuous subcutaneous glucose monitoring (CGM) combined with overnight automated closed-loop glucose control, and real-time CGM alone in the home setting.
Achievement of tight glycaemic control in type 1 diabetes mellitus (T1D) using intensive
insulin regimens, which has been shown to be important for the prevention of long term
diabetes-related complications, is limited by a significantly increased risk of
hypoglycaemia. The average patient with T1D suffers two symptomatic episodes of
hypoglycaemia per week, and one episode of severe hypoglycaemia, defined as an event
requiring assistance of another person to administer rescue treatment in the form of
carbohydrate and/or glucagon, per year.Despite the rapid advancements in insulin pump
technology and the ongoing development of more physiological insulin preparations, the
currently available therapeutic regimens are still unable to achieve optimal glycaemic
control.The emergence of continuous glucose monitoring (CGM) over the last decade, which
enables users to view in real-time estimates of plasma glucose and receive alarms for
impending hypo- or hyperglycaemia, thus facilitating appropriate changes in insulin therapy,
is a major step towards improved diabetes monitoring.
The desirable goal is the development of an insulin delivery that is glucose responsive and
the development of effective real time glucose monitoring should allow this. Glucose
responsive insulin delivery should allow achievement of ideal glucose targets with less risk
of hypoglycaemia. Closed-loop systems may provide a realistic treatment option for people
with T1D. The research we are conducting at the University of Cambridge has been focused on
developing a closed-loop system for overnight glucose control in patients with T1D. The
studies that have been performed so far employ model predictive control (MPC) - this
algorithm estimates patient-specific parameters from CGM measurements taken every 1 to 15
minutes and makes predictions of glucose excursions, which are then used to calculate basal
insulin infusion rates. We hypothesize that overnight automated closed-loop glucose control
in the home setting will be efficacious and safe compared to CGM alone, in T1D subjects on
insulin pump treatment.
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Allocation: Randomized, Endpoint Classification: Safety/Efficacy Study, Intervention Model: Crossover Assignment, Masking: Open Label, Primary Purpose: Treatment
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