Type 1 diabetes is a condition caused by destruction of the pancreas' ability to produce insulin. This results in lifelong insulin requirement. This condition is treated with insulin injections or by a pump that pumps insulin continuously through a small plastic tube that sits under the skin. Currently, insulin doses need to be worked out by the patient depending on their finger-stick blood glucose level and the sugar content in their food. The development of an artificial pancreas that can manage all of this automatically by measuring glucose levels and working out how much insulin to give, would greatly change the treatment of diabetes.
The aim of this study is to further develop an artificial pancreas system which we have developed and studied in a small group of patients. Our initial results were encouraging and we were able to control glucose levels within an acceptable level during the day and night. Our system will consist of an insulin pump, glucose sensor and smartphone with a calculator, which determines how much insulin to give by a special formula. Through this study, we hope to make the system better by adding an accelerometer that can measure how active a patient is. The system can then change insulin delivery depending on activity levels. It will also be able to tell when you are sleeping and adjust insulin for this. Our system will be designed so that the patient does not have to tell us about meals or exercise. This is a true, automatic, artificial pancreas for both day and night time. We will incorporate special formulas and information that we know already about, such as timing of meals and exercise, to improve the performance of the system. In this study, we will initially test the system in a group of 20 patients in hospital with type 1 diabetes to see how well the system can work in managing glucose levels. We will use the results to make further improvements to our system. When the system is working well, we will continue testing the system in another group of 20 patients over 4 days in a hotel setting with remote monitoring. Towards the end of this program, we will test the system in a group of 12 patients using the system at home for 2 weeks with remote monitoring.

Public Health Relevance

Research teams, like ours, are trying to develop a commercial closed-loop artificial pancreas to automatically control the blood sugar levels of individuals with type 1 diabetes. The proposed research will further develop and test an artificial pancreas that reduces the requirement for patient intervention by automatically compensating for exercise and meals while maintaining desirable blood glucose concentrations. Better control of blood sugar levels leads to reduced complications and a more normal lifestyle.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK102188-02
Application #
8837625
Study Section
Special Emphasis Panel (ZDK1-GRB-N (J7))
Program Officer
Arreaza-Rubin, Guillermo
Project Start
2014-04-11
Project End
2017-03-31
Budget Start
2015-04-01
Budget End
2016-03-31
Support Year
2
Fiscal Year
2015
Total Cost
$345,094
Indirect Cost
$43,561
Name
Rensselaer Polytechnic Institute
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
002430742
City
Troy
State
NY
Country
United States
Zip Code
12180
Howsmon, Daniel P; Baysal, Nihat; Buckingham, Bruce A et al. (2018) Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas. J Diabetes Sci Technol 12:599-607
Forlenza, Gregory P; Deshpande, Sunil; Ly, Trang T et al. (2017) Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care 40:1096-1102
Cameron, Faye M; Ly, Trang T; Buckingham, Bruce A et al. (2017) Closed-Loop Control Without Meal Announcement in Type 1 Diabetes. Diabetes Technol Ther 19:527-532
Forlenza, Gregory P; Deshpande, Sunil; Ly, Trang T et al. (2017) Erratum. Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care 2017;40:1096-1102. Diabetes Care 40:1606
Howsmon, Daniel P; Cameron, Faye; Baysal, Nihat et al. (2017) Continuous Glucose Monitoring Enables the Detection of Losses in Infusion Set Actuation (LISAs). Sensors (Basel) 17:
Forlenza, Gregory P; Buckingham, Bruce; Maahs, David M (2016) Progress in Diabetes Technology: Developments in Insulin Pumps, Continuous Glucose Monitors, and Progress towards the Artificial Pancreas. J Pediatr 169:13-20
Howsmon, Daniel; Bequette, B Wayne (2015) Hypo- and Hyperglycemic Alarms: Devices and Algorithms. J Diabetes Sci Technol 9:1126-37
Cameron, Fraser; Niemeyer, Günter; Wilson, Darrell M et al. (2014) Inpatient trial of an artificial pancreas based on multiple model probabilistic predictive control with repeated large unannounced meals. Diabetes Technol Ther 16:728-34
Bjornstad, Petter; Cherney, David; Maahs, David M (2014) Early diabetic nephropathy in type 1 diabetes: new insights. Curr Opin Endocrinol Diabetes Obes 21:279-86
Bequette, B Wayne (2014) Fault detection and safety in closed-loop artificial pancreas systems. J Diabetes Sci Technol 8:1204-14