Study Assessing an Insulin Pump-controlling Algorithm to Minimize Hypo and Hyper in Type 1 During CRC Setting
- Conditions
- Type 1 Diabetes Mellitus
- Interventions
- Device: Hypo-Hyper Minimizer (HHM) System
- Registration Number
- NCT01638299
- Lead Sponsor
- Animas Corporation
- Brief Summary
Feasibility study assessing the ability of an insulin pump-controlling algorithm to minimize hypoglycemia and hyperglycemia in patients with type 1 diabetes in a clinical research setting.
- Detailed Description
This study is a non-randomized, uncontrolled feasibility study that looks to enroll people with type 1 diabetes who are currently using an insulin pump. During the subject's participation, the study staff will closely monitor the study subject in a clinical research center environment for approximately 30 hours, while controller algorithm determined insulin doses are delivered by an insulin pump, and utilizing continuous glucose monitoring results.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 20
- Age 21-65 years
- type 1 diabetes mellitus for at least one year
- Currently using an insulin infusion pump for at least the past 6 months
- Pregnancy
- History of Diabetic Ketoacidosis (DKA) in the past six months
- Histoey of severe hypoglycemia (Seizure, unconsciousnesss) in the past 6 months
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Hypo-Hyper Minimizer (HHM) System Hypo-Hyper Minimizer (HHM) System -
- Primary Outcome Measures
Name Time Method Evaluation of the performance of the HHM system response to meal insulin while the subject is under close medical supervision in the Clinical Research Center (CRC) setting. After subject is discharged from CRC, 1 week after enrolment
- Secondary Outcome Measures
Name Time Method Number of Safety Events and any additional information that can be used for product development After subject is discharged from CRC, 1 week after enrolment
Trial Locations
- Locations (2)
Samsum Diabetes Reserach Inst.
🇺🇸Santa Barbara, California, United States
UVA Diabetes Technology Center
🇺🇸Charlottesville, Virginia, United States