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Project Nightlight: Efficacy and System Acceptance of Dinner/Night vs. 24hr Closed Loop Control

Not Applicable
Completed
Conditions
Diabetes Mellitus, Type 1
Interventions
Device: CLC
Registration Number
NCT02679287
Lead Sponsor
University of Virginia
Brief Summary

The purpose of this study is to use an investigational type of technology called Closed-Loop Control (CLC) Medical Platform System to help control blood sugar in people with type 1 diabetes mellitus in a home setting.

Detailed Description

The CLC is an "artificial pancreas" (AP) application that uses advanced closed loop control algorithms to automatically manage blood glucose levels for people with Type 1 Diabetes. The system modulates insulin to keep blood glucose in a targeted range. The CLC will be deployed with different functionalities at different stages of the trial, resulting in variation in what the subject will be responsible for and what the system will drive.These functionalities occur in a randomized cross-over design, each occurring for 8 weeks. These modalities are:

1. SAP=sensor-augmented pump only

2. USS+SAP (d)= Evening and Overnight Closed-Loop Control=SAP during day and CLC starting at dinner and continuing overnight

3. USS+CLC (d)= 24/7 Closed-Loop Control=24-hour Day and Night Closed Loop Control

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
103
Inclusion Criteria
  • type 1 diabetes for at least one year
  • using insulin for at least 1 year
  • an insulin pump for at least 6 months
  • willingness to switch to lispro (Humalog) or aspart (Novolog) if using glulisine (Apidra).
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Exclusion Criteria
  • a medical condition or being been treated with medications that might interfere with the study
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Study & Design

Study Type
INTERVENTIONAL
Study Design
CROSSOVER
Arm && Interventions
GroupInterventionDescription
Group BCLCOrder of intervention will be 1)USS + SAP(d) ; 2)USS +CLC (d); 3) USS + SAP(d); 4) SAP 1. SAP=sensor-augmented pump only 2. USS+SAP (d)= Evening and Overnight Closed-Loop Control=SAP during day and CLC starting at dinner and continuing overnight 3. USS+CLC (d)= 24/7 Closed-Loop Control=24-hour Day and Night Closed Loop Control
Group ACLCOrder of intervention will be 1) SAP; 2) USS + SAP(d); 3) USS +CLC (d); 4) USS + SAP(d) 1. SAP=sensor-augmented pump only 2. USS+SAP (d)= Evening and Overnight Closed-Loop Control=SAP during day and CLC starting at dinner and continuing overnight 3. USS+CLC (d)= 24/7 Closed-Loop Control=24-hour Day and Night Closed Loop Control
Primary Outcome Measures
NameTimeMethod
Hemoglobin A1c8 weeks

Overnight CLC achieved by USS+SAP(d) (also known as Evening-Night CLC) will be superior to SAP alone in terms of reduced incidence and risk for hypoglycemia overnight without deterioration in hemoglobin A1c. Outcomes will be stratified by Hemoglobin A1c \< 7.5% vs ≥7.5% and time of day.

Time <70 mg/dl by CGM8 weeks

Overnight CLC achieved by USS+SAP(d) (also known at Evening-Night CLC) will be superior to SAP alone in terms of reduced incidence and risk for hypoglycemia overnight without deterioration in hemoglobin A1c. Outcomes will be stratified by Hemoglobin A1c \< 7.5% vs ≥7.5% and time of day.

Secondary Outcome Measures
NameTimeMethod
Low Blood Glucose Index (LBGI)8 weeks

Index measure of low blood glucose risk. This is an index that indicates risk of hypoglycemia with low values indicating lower risk of hypoglycemia (particularly values 1 or lower).

Hemoglobin A1c by Study Session8 weeks

Hemoglobin A1c after each 8 weeks study session by Group A and Group B.

Time Between 70-180 mg/dL by CGM8 weeks

Time in target range 70-180 mg/dL measured by CGM

Time >180 mg/dL by CGM8 weeks

Time in hyperglycemia range \>180 mg/dL measured by CGM

Mean Glucose by CGM8 weeks

Mean glucose measured by CGM overall in mmol/L

CGM <70mg/dL8 weeks

Percentage time \<70mg/dL measured by CGM in three study phases combining Group A and B.

High Blood Glucose Index (HBGI)8 weeks

Index measure of high blood glucose risk.

Trial Locations

Locations (1)

University of Virginia Center for Diabetes Technology

🇺🇸

Charlottesville, Virginia, United States

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