Predictive Low-Glucose Insulin Suspension Reduces Duration of Nocturnal Hypoglycemia in Children Without Increasing Ketosis

OBJECTIVE

Nocturnal hypoglycemia can cause seizures and is a major impediment to tight glycemic control, especially in young children with type 1 diabetes. We conducted an in-home randomized trial to assess the efficacy and safety of a continuous glucose monitor–based overnight predictive low-glucose suspend (PLGS) system.

RESEARCH DESIGN AND METHODS

In two age-groups of children with type 1 diabetes (11–14 and 4–10 years of age), a 42-night trial for each child was conducted wherein each night was assigned randomly to either having the PLGS system active (intervention night) or inactive (control night). The primary outcome was percent time <70 mg/dL overnight.

RESULTS

Median time at <70 mg/dL was reduced by 54% from 10.1% on control nights to 4.6% on intervention nights (P < 0.001) in 11–14-year-olds (n = 45) and by 50% from 6.2% to 3.1% (P < 0.001) in 4–10-year-olds (n = 36). Mean overnight glucose was lower on control versus intervention nights in both age-groups (144 ± 18 vs. 152 ± 19 mg/dL [P < 0.001] and 153 ± 14 vs. 160 ± 16 mg/dL [P = 0.004], respectively). Mean morning blood glucose was 159 ± 29 vs. 176 ± 28 mg/dL (P < 0.001) in the 11–14-year-olds and 154 ± 25 vs. 158 ± 22 mg/dL (P = 0.11) in the 4–10-year-olds, respectively. No differences were found between intervention and control in either age-group in morning blood ketosis.

CONCLUSIONS

In 4–14-year-olds, use of a nocturnal PLGS system can substantially reduce overnight hypoglycemia without an increase in morning ketosis, although overnight mean glucose is slightly higher.     

The Use of an Automated,Portable Glucose Control System for Overnight Glucose Control in Adolescents and Young Adults With Type 1 Diabetes

OBJECTIVE

A key milestone in progress towards providing an efficacious and safe closed-loop artificial pancreas system for outpatient use is the development of fully automated, portable devices with fault detection capabilities to ensure patient safety. The ability to remotely monitor the operation of the closed-loop system would facilitate future physician-supervised home studies.

RESEARCH DESIGN AND METHODS

This study was designed to investigate the efficacy and safety of a fully automated, portable, closed-loop system. The Medtronic Portable Glucose Control System (PGCS) consists of two subcutaneous glucose sensors, a control algorithm based on proportional-integral-derivative with insulin feedback operating from a BlackBerry Storm smartphone platform, Bluetooth radiofrequency translator, and an off-the-shelf Medtronic Paradigm Veo insulin pump. Participants with type 1 diabetes using insulin pump therapy underwent two consecutive nights of in-clinic, overnight, closed-loop control after a baseline open-loop assessment.

RESULTS

Eight participants attended for 16 overnight studies. The PGCS maintained mean overnight plasma glucose levels of 6.4 ± 1.7 mmol/L (115 ± 31 mg/dL). The proportion of time with venous plasma glucose <3.9, between 3.9 and 8 (70 and 144 mg/dL), and >8 mmol/L was 7, 78, and 15%, respectively. The proportion of time the sensor glucose values were maintained between 3.9 and 8 mmol/L was greater for closed-loop than open-loop (84.5 vs. 46.7%; P < 0.0001), and time spent <3.3 mmol/L was also reduced (0.9 vs. 3%; P < 0.0001).

CONCLUSIONS

These results suggest that the PGCS, an automated closed-loop device, is safe and effective in achieving overnight glucose control in patients with type 1 diabetes.Intensive management of type 1 diabetes is necessary to achieve near-normal glucose levels to obtain A1C values associated with a reduced risk of microvascular and macrovascular complications. Large-scale studies have revealed that in some patients, such efforts are associated with an increased risk of severe hypoglycemia (1). The effects of intensive management on the incidence of severe hypoglycemia may be even greater in children and adolescents (2), particularly in the setting of diminished counterregulatory hormone responses (3,4). Despite the development of insulin analogs and increasing use of insulin pump therapy, approximation of physiologic insulin delivery has not been achievable by most. Presently, children with an A1C <7% spend approximately one-quarter of each 24-h period with glucose levels >11.1 mmol/L (200 mg/dL) (3). Even with use of sensor-augmented pump therapy, the epitome of technology currently available to patients, one-third or less patients achieve an A1C target <7% (5,6), and the incidence of severe hypoglycemia is not reduced.Currently, there are two principal approaches to β-cell replacement therapy. Islet-cell transplantation has demonstrated promising results in recovery of hypoglycemia awareness and reduction in episodes of hypoglycemia (7). Unfortunately, there are risks associated with immunosuppressive therapy (8), and currently, <75% of patients are insulin-independent 4 years after transplant (7). The second and, arguably, more promising therapeutic approach to β-cell replacement is a closed-loop artificial pancreas incorporating a continuous glucose sensor, insulin pump, and control algorithm.Commercially available insulin pumps and glucose sensors are considered sufficiently accurate for use in a closed-loop system (9,10). Despite the delays inherent in absorption and action of insulin delivered subcutaneously, previous studies have demonstrated superiority of such systems over standard pump therapy (11–18). Automation of insulin delivery is not a novel concept (11,12); however, the closed-loop system in many reports was not fully automated. In some studies, sensor glucose was entered manually every 5 to 15 min (15–17) or changes to the pump delivery rate were made manually by a physician or research nurse (13–17). Furthermore, insulin delivery in studies published to date was based on a control algorithm contained in a desktop or laptop computer (11–18), implying that the system was not readily portable or practical in an ambulatory setting. A key milestone in progress toward making a closed-loop artificial pancreas system available for outpatient use is the development of fully automated, portable devices with fault detection capabilities to ensure safety. An additional desirable feature of these devices is the ability to remotely monitor the operation of the closed-loop system via data transmitted over a wireless network, facilitating future physician-supervised home studies.The Medtronic Portable Glucose Control System (PGCS) is a portable, automated, closed-loop device consisting of a BlackBerry Storm smartphone (Research in Motion, Waterloo, ON, Canada), an unmodified Medtronic Paradigm Veo insulin pump, two MiniLink REAL-Time Transmitters (Medtronic Minimed, Northridge, CA) modified to transmit at 1-min rather than 5-min intervals, two Enlite glucose sensors (Medtronic Minimed), and a Medtronic custom-built radiofrequency translator, as illustrated in Fig. 1.Open in a separate windowFigure 1The components of the Medtronic PGCS.In this study, we describe the safety and efficacy of the PGCS, an automated closed-loop device, focusing on overnight glucose control in adolescents and young adults with type 1 diabetes.     

Overnight Glucose Control With an Automated,Unified Safety System in Children and Adolescents With Type 1 Diabetes at Diabetes Camp

OBJECTIVE

To determine the safety and efficacy of an automated unified safety system (USS) in providing overnight closed-loop (OCL) control in children and adolescents with type 1 diabetes attending diabetes summer camps.

RESEARCH DESIGN AND METHODS

The Diabetes Assistant (DIAS) USS used the Dexcom G4 Platinum glucose sensor (Dexcom) and t:slim insulin pump (Tandem Diabetes Care). An initial inpatient study was completed for 12 participants to evaluate safety. For the main camp study, 20 participants with type 1 diabetes were randomized to either OCL or sensor-augmented therapy (control conditions) per night over the course of a 5- to 6-day diabetes camp.

RESULTS

Subjects completed 54 OCL nights and 52 control nights. On an intention-to-treat basis, with glucose data analyzed regardless of system status, the median percent time in range, from 70–150 mg/dL, was 62% (29, 87) for OCL nights versus 55% (25, 80) for sensor-augmented pump therapy (P = 0.233). A per-protocol analysis allowed for assessment of algorithm performance. The median percent time in range, from 70–150 mg/dL, was 73% (50, 89) for OCL nights (n = 41) versus 52% (24, 83) for control conditions (n = 39) (P = 0.037). There was less time spent in the hypoglycemic range <50, <60, and <70 mg/dL during OCL compared with the control period (P = 0.019, P = 0.009, and P = 0.023, respectively).

CONCLUSIONS

The DIAS USS algorithm is effective in improving time spent in range as well as reducing nocturnal hypoglycemia during the overnight period in children and adolescents with type 1 diabetes in a diabetes camp setting.