Trial Outcomes & Findings for Artificial Pancreas Control System in an Outpatient Setting (NCT NCT01871870)

NCT ID: NCT01871870

Last Updated: 2015-05-15

Results Overview

This outcome will verify afferent signal transmittal from the Dexcom sensors to the algorithm and the efferent signal transmittal from the algorithm to the insulin and glucagon pumps. Outcome measure is the average number of sensor and/or pump telemetry failures per 28 hour study.

Recruitment status

COMPLETED

Study phase

PHASE2

Target enrollment

20 participants

Primary outcome timeframe

28 hours

Results posted on

2015-05-15

Participant Flow

Participant milestones

Participant milestones
Measure
Artificial Pancreas Control Software
Type 1 Diabetes Mellitus subjects who fit the inclusion/exclusion criteria will undergo artificial pancreas closed-loop study for 28 hours. For the entire study, the adaptive component of Artificial Pancreas Control Software will be used to control the subject's blood glucose. Artificial Pancreas Control Software: This master controller software is used in conjunction with two subcutaneous continuous glucose monitoring systems and two Omnipod pumps, one for administering aspart insulin (NovoLog) and one for administering glucagon (GlucaGen), to control blood glucose levels. The insulin and glucagon infusion rates are determined by an outpatient automated version of the Adaptive Proportional Derivative (APD) insulin and glucagon control algorithm programmed into a smart phone.
Overall Study
STARTED
20
Overall Study
COMPLETED
11
Overall Study
NOT COMPLETED
9

Reasons for withdrawal

Reasons for withdrawal
Measure
Artificial Pancreas Control Software
Type 1 Diabetes Mellitus subjects who fit the inclusion/exclusion criteria will undergo artificial pancreas closed-loop study for 28 hours. For the entire study, the adaptive component of Artificial Pancreas Control Software will be used to control the subject's blood glucose. Artificial Pancreas Control Software: This master controller software is used in conjunction with two subcutaneous continuous glucose monitoring systems and two Omnipod pumps, one for administering aspart insulin (NovoLog) and one for administering glucagon (GlucaGen), to control blood glucose levels. The insulin and glucagon infusion rates are determined by an outpatient automated version of the Adaptive Proportional Derivative (APD) insulin and glucagon control algorithm programmed into a smart phone.
Overall Study
Hardware issues
7
Overall Study
hyperglycemia
2

Baseline Characteristics

Artificial Pancreas Control System in an Outpatient Setting

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Artificial Pancreas Control Software
n=20 Participants
Type 1 Diabetes Mellitus subjects who fit the inclusion/exclusion criteria will undergo artificial pancreas closed-loop study for 28 hours. For the entire study, the adaptive component of Artificial Pancreas Control Software will be used to control the subject's blood glucose. Artificial Pancreas Control Software: This master controller software is used in conjunction with two subcutaneous continuous glucose monitoring systems and two Omnipod pumps, one for administering aspart insulin (NovoLog) and one for administering glucagon (GlucaGen), to control blood glucose levels. The insulin and glucagon infusion rates are determined by an outpatient automated version of the Adaptive Proportional Derivative (APD) insulin and glucagon control algorithm programmed into a smart phone.
Age, Categorical
<=18 years
0 Participants
n=39 Participants
Age, Categorical
Between 18 and 65 years
20 Participants
n=39 Participants
Age, Categorical
>=65 years
0 Participants
n=39 Participants
Age, Continuous
37.4 years
STANDARD_DEVIATION 9.4 • n=39 Participants
Sex: Female, Male
Female
16 Participants
n=39 Participants
Sex: Female, Male
Male
4 Participants
n=39 Participants
Region of Enrollment
United States
20 participants
n=39 Participants

PRIMARY outcome

Timeframe: 28 hours

This outcome will verify afferent signal transmittal from the Dexcom sensors to the algorithm and the efferent signal transmittal from the algorithm to the insulin and glucagon pumps. Outcome measure is the average number of sensor and/or pump telemetry failures per 28 hour study.

Outcome measures

Outcome measures
Measure
Artificial Pancreas Control Software
n=20 Participants
Type 1 Diabetes Mellitus subjects who fit the inclusion/exclusion criteria will undergo artificial pancreas closed-loop study for 28 hours. For the entire study, the adaptive component of Artificial Pancreas Control Software will be used to control the subject's blood glucose. Artificial Pancreas Control Software: This master controller software is used in conjunction with two subcutaneous continuous glucose monitoring systems and two Omnipod pumps, one for administering aspart insulin (NovoLog) and one for administering glucagon (GlucaGen), to control blood glucose levels. The insulin and glucagon infusion rates are determined by an outpatient automated version of the Adaptive Proportional Derivative (APD) insulin and glucagon control algorithm programmed into a smart phone.
Verification of the Automation and Telemetry Components
16.5 failures
Standard Deviation 8

SECONDARY outcome

Timeframe: 28 hours

Assessment of how accurately the algorithm controls glycemia in the subjects will be carried out using the mean deviation from the target blood glucose (mg/dL). Deviation is measured as algorithm controlled glucose level minus target glucose level.

Outcome measures

Outcome measures
Measure
Artificial Pancreas Control Software
n=20 Participants
Type 1 Diabetes Mellitus subjects who fit the inclusion/exclusion criteria will undergo artificial pancreas closed-loop study for 28 hours. For the entire study, the adaptive component of Artificial Pancreas Control Software will be used to control the subject's blood glucose. Artificial Pancreas Control Software: This master controller software is used in conjunction with two subcutaneous continuous glucose monitoring systems and two Omnipod pumps, one for administering aspart insulin (NovoLog) and one for administering glucagon (GlucaGen), to control blood glucose levels. The insulin and glucagon infusion rates are determined by an outpatient automated version of the Adaptive Proportional Derivative (APD) insulin and glucagon control algorithm programmed into a smart phone.
Deviation From Target Blood Glucose
91.35 mg/dl
Standard Deviation 91.41

Adverse Events

Artificial Pancreas Control Software

Serious events: 0 serious events
Other events: 1 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Other adverse events
Measure
Artificial Pancreas Control Software
n=20 participants at risk
Type 1 Diabetes Mellitus subjects who fit the inclusion/exclusion criteria will undergo artificial pancreas closed-loop study for 28 hours. For the entire study, the adaptive component of Artificial Pancreas Control Software will be used to control the subject's blood glucose. Artificial Pancreas Control Software: This master controller software is used in conjunction with two subcutaneous continuous glucose monitoring systems and two Omnipod pumps, one for administering aspart insulin (NovoLog) and one for administering glucagon (GlucaGen), to control blood glucose levels. The insulin and glucagon infusion rates are determined by an outpatient automated version of the Adaptive Proportional Derivative (APD) insulin and glucagon control algorithm programmed into a smart phone.
Gastrointestinal disorders
nausea
5.0%
1/20 • Number of events 1

Additional Information

Dr. Ken Ward

Legacy Health System

Phone: 971-570-2632

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place