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| ID | Type | Description | Link |
|---|---|---|---|
| 1R01DK085591-01 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) | NIH |
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The purpose of this study is to see whether low blood sugar at night can be reduced by using a system that turns off the insulin pump automatically. The study system includes a combination continuous glucose monitor (CGM)/ insulin pump made by Medtronic MiniMed, Inc and a regular laptop computer that runs a computer program that predicts low blood sugar. It works by (1) measuring the glucose levels under the skin with a continuous glucose monitor, (2) using a computer program on a laptop to predict what will happen to the glucose level over the next 35-55 minutes, and (3) turning off the insulin pump when the computer program predicts that low blood sugar will occur.
This study has several phases and will take about 3 months for a patient to complete. Patients will use the Medtronic CGM with the Enlite sensor at home for 10-15 days to be sure that they are able and willing to use this system and to determine if they meet the investigators study criteria to proceed with the next phase of the study. Patients will be provided teaching on how to use CGM data in real time. If a patient is not using a Medtronic CGM already, the patient will first use one at home for 10-15 days to be sure that he/she is able and willing to use it. If a patient is already using a Medtronic CGM, then his/her most recent 10-15 days of data will be used to find out if he/she is eligible. Those who need to complete the CGM run-in phase will have an extra office visit for training.
If eligible to continue in the study, patients will need to use the study system for 5 nights at home so that the investigators can make sure they are able to use it correctly. After that, patients will be asked to use the study system each night for an additional 6 to 8 weeks. If the system is active and predicts that a patient's blood sugar will become low, the insulin pump will shut off for up to 2 hours.
The study will include about 45 individuals at 3 clinical centers in the United States and Canada.
Patients who are eligible for the clinical trial initially will use a Medtronic Continuous Glucose Monitor (CGM) at home to verify that the subject is able to use the CGM and insert sensors. Subjects already using a Medtronic CGM will skip this phase, provided that the eligibility criteria for CGM use and the study are met.
Patients who meet criteria for sensor use and the study will then use the closed-loop system at home for 5 days to demonstrate their ability to use the system and submit study data to the Coordinating Center.
Patients who successfully demonstrate their ability to use the system at home as described above will be eligible for the randomized trial phase. This phase consists of use of the full system as an outpatient for approximately 42 nights:
Upon completion of the study, patients as well as study clinicians will be asked to complete a questionnaire regarding use of the study system.
There will be one follow-up visit after 21 days in the clinical trial and a second follow-up visit after the completion of 42 nights of successful study system use. A successful night of study system use is defined as use of the system for at least four hours. Phone contacts with the patients will be made once a week.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Pump suspension algorithm | Active Comparator | The study laptop will be running actively during the night and suspending the patient's pump if the algorithm predicts hypoglycemia based on the patient's continuous glucose sensor trend. |
|
| Standard of Care | No Intervention | The control algorithm will run passively and not recommend control the patient's pump. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Pump suspension | Device | The study laptop will communicate to the pump causing a suspension based on output from the algorithm which predicts hypoglycemia based on the continuous glucose sensor trend. |
| Measure | Description | Time Frame |
|---|---|---|
| Hypoglycemia Outcome: Percentage of Nights With Sensor Glucose Value </=60 mg/dl | Each night is categorized as to whether hypoglycemia occurred. Hypoglycemia is defined as the occurrence of one or more CGM glucose values ≤60 mg/dL. The percentage of hypoglycemic nights will be tabulated separately with versus without the closed-loop control system in use. A repeated measures logistic regression model will be used to compare intervention versus control nights accounting for correlated data from the same subject and adjusting for the baseline (bedtime) sensor glucose. | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use |
| Measure | Description | Time Frame |
|---|---|---|
| Percentage of Sensor Glucose Values 71 to 180 mg/dL | The median percentages of the number of glucose values with values of 71-180 mg/dL overall. | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use |
| Percentage of Nights With a Sensor Glucose Value </= 70 mg/dL |
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Inclusion Criteria:
Exclusion Criteria:
Diabetic ketoacidosis in the past 3 months
Hypoglycemic seizure or loss of consciousness in the past 6 months
History of seizure disorder (except for hypoglycemic seizure)
History of any heart disease including coronary artery disease, heart failure, or arrhythmiasCoronary artery disease or heart failure
Cystic fibrosis
Current use of oral/inhaled glucocorticoids, beta-blockers or other medications, which in the judgment of the investigator would be a contraindication to participation in the study.
History of ongoing renal disease (other than microalbuminuria), or liver disease (Creatinine > 1.5 mg/dL (0.08 mmol/L))
Medical or psychiatric condition that in the judgment of the investigator might interfere with the completion of the protocol such as:
Pregnancy
Liver disease as defined by an ALT greater than 3 times the upper limit of normal
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| Name | Affiliation | Role |
|---|---|---|
| Roy Beck, MD, Ph.D. | Jaeb Center for Health Research | Principal Investigator |
| Bruce Buckingham, MD | Stanford University | Study Chair |
| John Lum, MS | Jaeb Center for Health Research | Study Director |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Stanford University | Stanford | California | 94305 | United States | ||
| Barbara Davis Center for Childhood Diabetes |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 24804697 | Result | Maahs DM, Calhoun P, Buckingham BA, Chase HP, Hramiak I, Lum J, Cameron F, Bequette BW, Aye T, Paul T, Slover R, Wadwa RP, Wilson DM, Kollman C, Beck RW; In Home Closed Loop Study Group. A randomized trial of a home system to reduce nocturnal hypoglycemia in type 1 diabetes. Diabetes Care. 2014 Jul;37(7):1885-91. doi: 10.2337/dc13-2159. Epub 2014 May 7. | |
| 25761202 | Derived | Wilson DM, Calhoun PM, Maahs DM, Chase HP, Messer L, Buckingham BA, Aye T, Clinton PK, Hramiak I, Kollman C, Beck RW; In Home Closed Loop Study Group. Factors associated with nocturnal hypoglycemia in at-risk adolescents and young adults with type 1 diabetes. Diabetes Technol Ther. 2015 Jun;17(6):385-91. doi: 10.1089/dia.2014.0342. Epub 2015 Mar 11. |
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After the run-in phase, a 42-night randomized trial was conducted in which each night was randomly assigned to have either predictive low glucose suspend system active (intervention) or inactive (control) with half of the nights being intervention and half control nights.
The study was conducted at Stanford University (Stanford, CA), the Barbara Davis Center (Denver, CO), and St. Joseph's Health Care (London, ON). A total of 49 subjects were enrolled between November 1, 2012 and February 20, 2013. Forty-five participants age 15-45 years old with type 1 diabetes (median HbA1c 6.8%) completed the trial.
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| ID | Title | Description |
|---|---|---|
| FG000 | Randomized Nights- Treatment or Control | Each study night will be randomized to have either Predictive Low Glucose Suspend or to be inactive (control). On nights randomized to the intervention treatment, the study laptop will be running actively during the night and suspending the patient's pump if the algorithm predicts hypoglycemia based on the patient's continuous glucose sensor trend. (Pump suspension : The study laptop will communicate to the pump causing suspension based on output from the algorithm which predicts hypoglycemia based on the continuous glucose sensor trend.) On control nights, the algorithm will run passively and not recommend suspensions or resumption to the patient's pump. |
| Title | Milestones | Reasons Not Completed | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
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There were 45 participants who could use the Continuous Glucose Monitoring device and met a minimum amount of nocturnal hypoglycemia as well as successfully completed the run-in phase of system use at home for 5 nights to verify the ability to use it properly.
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| ID | Title | Description |
|---|---|---|
| BG000 | Randomized Nights- Treatment or Control | Each study night will be randomized to have either Predictive Low Glucose Suspend or to be inactive (control). On nights randomized to the intervention treatment, the study laptop will be running actively during the night and suspending the patient's pump if the algorithm predicts hypoglycemia based on the patient's continuous glucose sensor trend. (Pump suspension : The study laptop will communicate to the pump causing suspension based on output from the algorithm which predicts hypoglycemia based on the continuous glucose sensor trend.) On control nights, the algorithm will run passively and not recommend suspensions or resumption to the patient's pump. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Median |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Hypoglycemia Outcome: Percentage of Nights With Sensor Glucose Value </=60 mg/dl | Each night is categorized as to whether hypoglycemia occurred. Hypoglycemia is defined as the occurrence of one or more CGM glucose values ≤60 mg/dL. The percentage of hypoglycemic nights will be tabulated separately with versus without the closed-loop control system in use. A repeated measures logistic regression model will be used to compare intervention versus control nights accounting for correlated data from the same subject and adjusting for the baseline (bedtime) sensor glucose. | Posted | Number | percentage of nights | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use | Number of Nights Analyzed | Participants |
|
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Pump Suspension Algorithm | Each study night will be randomized to have either Predictive Low Glucose Suspend or to be inactive (control). On nights randomized to the intervention treatment, the study laptop will be running actively during the night and suspending the patient's pump if the algorithm predicts hypoglycemia based on the patient's continuous glucose sensor trend. (Pump suspension : The study laptop will communicate to the pump causing suspension based on output from the algorithm which predicts hypoglycemia based on the continuous glucose sensor trend.) |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Roy W. Beck, M.D., Ph.D. | Jaeb Center for Health Research | 813-975-8690 | jdrfapp2@jaeb.org |
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| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| D007003 | Hypoglycemia |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
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| Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use |
| Proportion of Nights With a Sensor Glucose Value </= 50 mg/dL | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use |
| Median Morning Blood Glucose | Measured with a study home blood glucose meter. | 42 mornings following night of system use |
| Percent of Mornings With Glucose >250 mg/dL | Measured with a study home blood glucose meter. | 42 mornings following night of system use |
| Percent of Mornings With Blood Ketones >1.0 mmol/L | Blood ketones measured with a study blood ketone meter. | 42 mornings following night of system use |
| Percent of Mornings With Urine Ketones >/= 15 mg/dl | Urine ketones measured each morning with Ketostix. | 42 mornings following night of system use |
| Overall Mean Sensor Glucose Overnight | Calculated as the median of the overall mean. | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use |
| Overnight Area Under the Curve 250 mg/dl Per 8 Hour | The measure is reporting area under the curve for glucose concentrations below 250 mg/dL and above 60 mg/dL. Overall time below and above a threshold and area under a curve was divided by total time and multiplied by 8 hours. | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use |
| Percent of Nights With Sensor Glucose >250 mg/dL | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use |
| Aurora |
| Colorado |
| 80045 |
| United States |
| St. Joseph's Health Care | London | Ontario | N6A4V2 | Canada |
| years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Race/Ethnicity, Customized | Number | participants |
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| Weight | Median | Inter-Quartile Range | kg |
|
| Height | Median | Inter-Quartile Range | cm |
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| Body-mass index | Median | Inter-Quartile Range | kg/m^2 |
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| Glycated hemoglobin | Median | Inter-Quartile Range | percent |
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| Diabetes duration | Median | Inter-Quartile Range | years |
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| Daily insulin dose | Median | Inter-Quartile Range | U/day |
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| Daily insulin dose | Median | Inter-Quartile Range | U/kg/day |
|
| OG001 | Standard of Care | The control algorithm will run passively and not recommend control the patient's pump. |
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|
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| Secondary | Percentage of Sensor Glucose Values 71 to 180 mg/dL | The median percentages of the number of glucose values with values of 71-180 mg/dL overall. | Posted | Median | Inter-Quartile Range | percentage glucose values | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use | Number of Nights Analyzed | Participants |
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| Secondary | Percentage of Nights With a Sensor Glucose Value </= 70 mg/dL | Posted | Number | percentage of nights | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use | Number of Nights Analyzed | Participants |
|
|
|
|
| Secondary | Proportion of Nights With a Sensor Glucose Value </= 50 mg/dL | Posted | Number | percentage of nights | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use | Number of Nights Analyzed | Participants |
|
|
|
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| Secondary | Median Morning Blood Glucose | Measured with a study home blood glucose meter. | Posted | Median | Inter-Quartile Range | mg/dl | 42 mornings following night of system use | Number of Mornings Analyzed | Participants |
|
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|
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| Secondary | Percent of Mornings With Glucose >250 mg/dL | Measured with a study home blood glucose meter. | Posted | Number | percentage of mornings | 42 mornings following night of system use | Number of Mornings Analyzed | Participants |
|
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|
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| Secondary | Percent of Mornings With Blood Ketones >1.0 mmol/L | Blood ketones measured with a study blood ketone meter. | Posted | Number | percentage of mornings | 42 mornings following night of system use | Number of Mornings Analyzed | Participants |
|
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| Secondary | Percent of Mornings With Urine Ketones >/= 15 mg/dl | Urine ketones measured each morning with Ketostix. | Posted | Number | percentage of mornings | 42 mornings following night of system use | Number of Mornings Analyzed | Participants |
|
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|
|
| Secondary | Overall Mean Sensor Glucose Overnight | Calculated as the median of the overall mean. | Posted | Median | Inter-Quartile Range | mg/dl | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use | Number of Nights Analyzed | Participants |
|
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|
|
| Secondary | Overnight Area Under the Curve 250 mg/dl Per 8 Hour | The measure is reporting area under the curve for glucose concentrations below 250 mg/dL and above 60 mg/dL. Overall time below and above a threshold and area under a curve was divided by total time and multiplied by 8 hours. | Posted | Median | Inter-Quartile Range | mg*hr/dL | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use | Number of Nights Analyzed | Participants |
|
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| Secondary | Percent of Nights With Sensor Glucose >250 mg/dL | Posted | Number | percentage of nights | Overnight from system activation to deactivation in the morning upon awakening for 42 nights of system use | Number of Nights Analyzed | Participants |
|
|
|
|
| 0 |
| 45 |
| 0 |
| 45 |
| EG001 | Standard of Care | On control nights, the algorithm will run passively and not recommend suspensions or resumption to the patient's pump. | 0 | 45 | 0 | 45 |
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| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |