OBJECTIVEWe evaluated the effect of the MD-Logic system on overnight glycemic control at patients' homes.
RESEARCH DESIGN AND METHODSTwenty-four patients (aged 12-43 years; average A 1c 7.5 6 0.8%, 58.1 6 8.4 mmol/mol) were randomly assigned to participate in two overnight crossover periods, each including 6 weeks of consecutive nights: one under closed loop and the second under sensor-augmented pump (SAP) therapy at patients' homes in real-life conditions. The primary end point was time spent with sensor glucose levels below 70 mg/dL (3.9 mmol/L) overnight.
RESULTSClosed-loop nights significantly reduced time spent in hypoglycemia (P = 0.02) and increased the percentage of time spent in the target range of 70-140 mg/dL (P = 0.003) compared with nights when the SAP therapy was used. The time spent in substantial hyperglycemia above 240 mg/dL was reduced by a median of 52.2% (interquartile range [IQR] 4.8, 72.9%; P = 0.001) under closed-loop control compared with SAP therapy. Overnight total insulin doses were lower in the closedloop nights compared with the SAP nights (P = 0.04). The average daytime glucose levels after closed-loop operation were reduced by a median of 10.0 mg/dL (IQR 22.7, 19.2; P = 0.017) while lower total insulin doses were used (P = 0.038). No severe adverse events occurred during closed-loop control; there was a single event of severe hypoglycemia during a control night.
CONCLUSIONSThe long-term home use of automated overnight insulin delivery by the MD-Logic system was found to be a feasible, safe, and an effective tool to reduce nocturnal hypoglycemia and improve overnight glycemic control in subjects with type 1 diabetes.The use of a closed-loop system is gaining recognition as a tool for real-time feedback control of insulin delivery for type 1 diabetes (1). A closed-loop insulin delivery system for type 1 diabetes has been tested in hospital settings for overnight (2-4) and also for day and night glycemic control (5,6). Moreover, it has been used for different populations of patients with diabetes: newly diagnosed patients (7), pregnant women (8), those with type 2 diabetes (9), and critically ill patients (10). The