Fuzzy Logic Automated Insulin Regulation
Public ClinicalTrials.gov record NCT03040414. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Official title
Home Use of MD-Logic Automated Insulin Delivery System: Safety and Efficacy
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
Adolescents and young adults with type 1 diabetes often have a difficult time achieving good glucose control, which is so important in reducing the risk for diabetes complications. Despite the use of multiple daily injections or insulin pumps and glucose sensors, there is still a need for many individuals to further improve glucose levels without causing low blood glucose levels (hypoglycemia) or adding to the daily burden of living with diabetes. Today an insulin pump can receive glucose readings from a continuous glucose monitor and adjust the insulin delivery in an attempt to keep glucose levels in a more optimal range. These systems are called hybrid closed loop (HCL). This means that much of the insulin delivery is automated, yet the patient still interacts regularly with the system, particularly to help determine the insulin dose to deliver to cover a meal. Results of early studies using HCL systems in adolescents and adults with type 1 diabetes are encouraging. The objective of this study is to compare the efficacy and safety of the automated insulin delivery (AID) system with proportional integral-derivative (PID) algorithm (Minimed 670G 3.0 HCL) to an AID system with combined PID and Fuzzy Logic Algorithm (Minimed 670G 4.0 Advanced Hybrid Closed-Loop (AHCL)). The trial will test the hypothesis that the Minimed AHCL can reduce daytime hyperglycemia, currently the biggest challenge for AID systems, without increasing hypoglycemia. Up to 124 adolescents and young adults (ages 14-\<30) will be recruited to test each system for three months in a randomized crossover trial. Investigators will compare how effective each hybrid closed loop system is at preventing high blood glucose readings during the day. The investigators will also evaluate the safety of each system and how participants adjust to the daily use of the technology.
Study identification
- NCT ID
- NCT03040414
- Recruitment status
- Completed
- Study type
- Interventional
- Phase
- Not applicable
- Enrollment
- 126 participants
Conditions and interventions
Conditions
Eligibility (public fields only)
- Age range
- 14 Years to 30 Years
- Sex
- All
- Healthy volunteers
- Healthy volunteers not accepted
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Jun 2, 2019
- Primary completion
- Apr 19, 2020
- Completion
- Apr 19, 2020
- Last update posted
- Apr 19, 2021
2019 – 2020
United States locations
- U.S. sites
- 4
- U.S. states
- 4
- U.S. cities
- 4
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| Yale University | New Haven | Connecticut | 06510 | — |
| University of Florida | Gainesville | Florida | 32611 | — |
| Joslin Diabetes Center | Boston | Massachusetts | 02215 | — |
| International Diabetes Center | Saint Louis Park | Minnesota | 55416 | — |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
Non-U.S. locations
This page focuses on the U.S. directory. The official record also lists 3 non-U.S. sites.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT03040414, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Apr 19, 2021 · Synced Sep 9, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT03040414 live on ClinicalTrials.gov.