Type 1 Diabetes MellitusNCT03092310
Feasibility Evaluation of an Artificial Pancreas With Glucose Prediction Trust Index
A study testing Artificial Pancreas Device in people with Type 1 Diabetes Mellitus, run by Sansum Diabetes Research Institute at 1 site in United States.
Trial summary
The purpose of this pilot study is to establish that closed-loop insulin delivery with a target enchanted model predictive control (eMPC)/Health Monitoring System (HMS) algorithms with a trust index of the predicted glucose value is safe and effective, to analyze and learn to improve upon the accuracy of the predicted… Read more about this study
- Who is it for?
- Ages 18 to 75 years
- Conditions the study is for
- Type 1 Diabetes Mellitus
- What is being tested?
- Artificial Pancreas Device
- Type of treatment
- Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 15 participants
- Where
- 1 siteUnited States
- Study dates
- 20 Mar 2017to 20 Dec 2017
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 75 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Age ≥ 18 and ≤ 75 years at the time of screening.
- Clinical diagnosis of type 1 diabetes for at least one year.
- Has been using an insulin pump for at least 6 months at the time of screening.
- HbA1c < 10%, as performed by point of care or central laboratory testing. A1c will be assessed at the screening visit, or if already completed within 2 months of the screening visit, the prior lab value may be used in lieu of repeating this assessment.
- Serum creatinine of < 2.0 mg/dL. Serum creatinine will be assessed at the screening visit, or if already completed within 2 months of the screening visit, the prior lab value may be used in lieu of repeating this assessment.
- Bolus for all meals and snacks that contain ≥ 5 grams of carbohydrate.
Show all 9Show fewer
- Willing to perform at least 7 fingerstick blood glucose tests a day.
- Willing to refrain from taking acetaminophen products for the duration of the clinical trial. If acetaminophen is taken, subject is to avoid making any insulin dosing decisions based on CGM for at least 12 hours.
- Willing to abide by the study protocol and use study-provided devices, including the Omnipod, Dexcom CGM, glucometer, ketone meter and pAPS tablet.
Who cannot join
- Pregnancy
- One or more episodes of hypoglycemia requiring an emergency room visit or hospitalization in the past 6 months.
- One or more episodes of hyperglycemia requiring an emergency room visit or hospitalization in the past 6 months.
- Known unstable cardiac disease or untreated cardiac disease, as revealed by history or physical examination.
- Dermatological conditions that would preclude wearing a CGM sensor or Pod.
- One or more seizures in the past year.
Show all 10Show fewer
- Screening A1c ≥ 10% or serum creatinine ≥ 2.0 mg/dL.
- Any condition that could interfere with participating in the trial, based on investigator judgment.
- Concurrent use of any non-insulin glucose-lowering agent (including GLP-1 agonists, Symlin, DPP-4 inhibitors, SGLT-2 inhibitors, biguanides, sulfonylureas and naturaceuticals), defined as using any of these medications within 30 days of the screening visit or during the study.
- Participation in another pharmaceutical or device trial at the time of enrollment or during the study.
Trial locations and contacts
1 site in 1 country.
United States1 site
William Sansum Diabetes Center
Santa Barbara, California, 93105
About this study
Official title: Feasibility Evaluation of an Artificial Pancreas With an Enhanced Model Predictive Control (eMPC) Controller and a Health Monitoring System (HMS) With a Glucose Prediction Trust Index
The purpose of this pilot study is to establish that closed-loop insulin delivery with a target enchanted model predictive control (eMPC)/Health Monitoring System (HMS) algorithms with a trust index of the predicted glucose value is safe and effective, to analyze and learn to improve upon the accuracy of the predicted glucose values, and to collect efficacy data to inform a future larger study.
Read the detailed description
This is a feasibility study of an artificial pancreas (AP) system with our previously validated target eMPC and HMS algorithms, with the addition of a trust index of the predicted glucose value integrated into the portable Artificial Pancreas System (pAPS). The system will be evaluated on up to 20 subjects, with the goal of 10 subjects completing a 48-hour closed-loop session at one clinical site (William Sansum Diabetes Center). During the session subjects will bolus for all meals and snacks and perform a 45-minute walking session.
The purpose of this pilot study is to establish that closed-loop insulin delivery with a target enchanted model predictive control (eMPC)/Health Monitoring System (HMS) algorithms with a trust index of the predicted glucose value is safe and effective, to analyze and learn to improve upon the accuracy of the predicted glucose values, and to collect efficacy data to inform a future larger study.
- Conditions
- Type 1 Diabetes Mellitus
- Being tested
- Artificial Pancreas Device
- Keywords
- Artificial Pancreas
- Medical subject headings
- Diabetes Mellitus, Type 1
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Artificial Pancreas DeviceDevice
Artificial Pancreas Device
| Study group | Role | What they receive |
|---|---|---|
| Artificial Pancreas | Experimental | The artificial pancreas device will employ its enhanced Model Predictive Control (MPC) algorithm with a target glucose level of 110 mg/dL with a trust index for MPC-predicted glucose values, weighing future glucose predictions and only acting on predictions with higher weight in the trust index. The Health Monitoring System algorithm uses the same CGM data as the MPC control algorithm but utilizes a separate algorithm for trending and predictions of future glucose values. Using a redundant and independent algorithm is an important safety feature of the overall AP device. Receives: Device: Artificial Pancreas Device |
What is being measured
The primary outcome is the main question the study is designed to answer.
Percent time within the target glucose range of 70-180 mg/dl overall as assessed by continuous glucose monitoring (CGM).
The primary endpoint for this pilot study will be time within the target glucose range of 70-180 mg/dl overall as assessed by continuous glucose monitoring (CGM), during closed-loop use, determining if the combination of eMPC and the assessment of trust index can provide safe and effective glucose control.
Measured: 48 hours
Secondary outcomes (11)
Assessment of the trust index predictions vs. standard eMPC glucose predictions.
During closed-loop use, assessment of the trust index predictions vs. standard eMPC glucose predictions (frequency of moving away from nominal weights of predicted glucose).
Measured: 48 hours
Frequency of hypoglycemia during closed-loop use.
Frequency of hypoglycemia during closed-loop use, defined as percent time glucose is below predefined thresholds of 70 mg/dl, 60 mg/dl and 50 mg/dL.
Measured: 48 hours
Frequency of hyperglycemia during closed-loop use.
Frequency of hyperglycemia during closed-loop use, defined as percent time glucose is above predefined thresholds of 180 mg/dl, 250 mg/dl, and 300 mg/dL.
Measured: 48 hours
Percent time within the target glucose range of 70-140 mg/dl during closed-loop use.
Percent time within the target glucose range of 70-140 mg/dl overall as assessed by continuous glucose monitoring (CGM), during closed-loop use.
Measured: 48 hours
Percent time glucose is within range 70-150 mg/dl postprandial within 5 hours following meals, during closed-loop use.
Percent time glucose is within range 70-150 mg/dl postprandial within 5 hours following meals, during closed-loop use.
Measured: 48 hours
Standard Deviation and Coefficient of Variation of glucose values
To measure glycemic variability, the standard deviation and coefficient of variation of glucose values (as measured by continuous glucose monitoring) will be determined during the 48 hours of closed-loop use.
Measured: 48 hours
Markers of hypo- and hyperglycemia
Markers of hypo- and hyperglycemia, to include LBGI (Low blood glucose index) and HBGI (High blood glucose index), during closed-loop use.
Measured: 48 hours
Insulin Doses Given
Change in total daily doses and post prandial insulin doses given during the 48 hours of closed-loop use.
Measured: 48 hours
Number of treatments given for hypoglycemia (defined as carbohydrates given for treatment of a documented or suspected low blood sugar), during the 48 hours of closed-loop use.
Treatments for hypoglycemia given during the 48 hours of closed-loop use. Hypoglycemia treatments may be given in response to alerts from the HMS, if blood glucose < 70 mg/dL, or at the request of the subject or investigator.
Measured: 48 hours
Number of alerts given by the HMS to prevent hypoglycemia
Number of alerts given by the HMS to prevent hypoglycemia during closed-loop use.
Measured: 48 hours
Failure analysis of the devices/connectivity issues that may occur (# disconnects and device restarts).
Failure analysis of the devices/connectivity issues that may occur during closed-loop use. This includes number of CGM communication losses with 3 or more missed points, and number of times the entire system required a restart.
Measured: 48 hours
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Mar 2017
- Study start20 Mar 2017
- Primary completion20 Dec 2017
- Study completion20 Dec 2017
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Type 1 Diabetes MellitusStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 15 participants (actual)
Sponsor and investigators
- Lead sponsor
- Sansum Diabetes Research Institute
- Sponsor type
- University, hospital or other
- Collaborators
- Harvard University
- Responsible party
- Principal investigator, Jordan Pinsker, Sansum Diabetes Research Institute
- Investigators
- Jordan E Pinsker, MD, Principal investigator, Sansum Diabetes Research InstituteEyal Dassau, PhD, Principal investigator, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard UniversityFrancis J Doyle III, PhD, Principal investigator, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard UniversityAlejandro Leguna, PhD, Principal investigator, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03092310
- Sponsor's protocol ID
- Pro00020556
- Status last verified
- Jul 2018
- First submitted
- 15 Mar 2017
- Last updated
- 12 Jul 2018
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- Yes
- Individual data sharing
- No
Publications
Pinsker JE, Laguna Sanz AJ, Lee JB, Church MM, Andre C, Lindsey LE, Doyle FJ 3rd, Dassau E. Evaluation of an Artificial Pancreas with Enhanced Model Predictive Control and a Glucose Prediction Trust Index with Unannounced Exercise. Diabetes Technol Ther. 2018 Jul;20(7):455-464. doi: 10.1089/dia.2018.0031.
PubMed 29958023
Study at a glance
From the registry record, last updated by the sponsor on 12 Jul 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Feasibility Evaluation of an Artificial Pancreas With an Enhanced Model Predictive Control (eMPC) Controller and a Health Monitoring System (HMS) With a Glucose Prediction Trust Index
- ClinicalTrials.gov ID
- NCT03092310
- Acronym / sponsor ID
- Pro00020556
- Conditions
- Type 1 Diabetes Mellitus
- Keywords
- Artificial Pancreas
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 15 participants (actual)
- Lead sponsor
- Sansum Diabetes Research InstituteUniversity, hospital or other
- Collaborators
- Harvard University
- Study start
- 20 Mar 2017 (actual)
- Primary completion
- 20 Dec 2017 (actual)
- Study completion
- 20 Dec 2017 (actual)
- First posted
- 27 Mar 2017 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The purpose of this pilot study is to establish that closed-loop insulin delivery with a target enchanted model predictive control (eMPC)/Health Monitoring System (HMS) algorithms with a trust index of the predicted glucose value is safe and effective, to analyze and learn to improve upon the accuracy of the predicted glucose values, and to collect efficacy data to inform a future larger study.
Detailed description
This is a feasibility study of an artificial pancreas (AP) system with our previously validated target eMPC and HMS algorithms, with the addition of a trust index of the predicted glucose value integrated into the portable Artificial Pancreas System (pAPS). The system will be evaluated on up to 20 subjects, with the goal of 10 subjects completing a 48-hour closed-loop session at one clinical site (William Sansum Diabetes Center). During the session subjects will bolus for all meals and snacks and perform a 45-minute walking session.
The purpose of this pilot study is to establish that closed-loop insulin delivery with a target enchanted model predictive control (eMPC)/Health Monitoring System (HMS) algorithms with a trust index of the predicted glucose value is safe and effective, to analyze and learn to improve upon the accuracy of the predicted glucose values, and to collect efficacy data to inform a future larger study.
Study design
- Primary purpose
- Treatment
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Artificial Pancreas | Experimental | Device: Artificial Pancreas DeviceThe artificial pancreas device will employ its enhanced Model Predictive Control (MPC) algorithm with a target glucose level of 110 mg/dL with a trust index for MPC-predicted glucose values, weighing future glucose predictions and only acting on predictions with higher weight in the trust index. The Health Monitoring System algorithm uses the same CGM data as the MPC control algorithm but utilizes a separate algorithm for trending and predictions of future glucose values. Using a redundant and independent algorithm is an important safety feature of the overall AP device. |
Who may qualify
- Ages
- 18 to 75 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (9 listed)
- Age ≥ 18 and ≤ 75 years at the time of screening.
- Clinical diagnosis of type 1 diabetes for at least one year.
- Has been using an insulin pump for at least 6 months at the time of screening.
- HbA1c < 10%, as performed by point of care or central laboratory testing. A1c will be assessed at the screening visit, or if already completed within 2 months of the screening visit, the prior lab value may be used in lieu of repeating this assessment.
- Serum creatinine of < 2.0 mg/dL. Serum creatinine will be assessed at the screening visit, or if already completed within 2 months of the screening visit, the prior lab value may be used in lieu of repeating this assessment.
Key exclusion criteria (10 listed)
- Pregnancy
- One or more episodes of hypoglycemia requiring an emergency room visit or hospitalization in the past 6 months.
- One or more episodes of hyperglycemia requiring an emergency room visit or hospitalization in the past 6 months.
- Known unstable cardiac disease or untreated cardiac disease, as revealed by history or physical examination.
- Dermatological conditions that would preclude wearing a CGM sensor or Pod.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Artificial Pancreas DeviceArtificial Pancreas Device | Device | Artificial Pancreas |
Primary outcome
Percent time within the target glucose range of 70-180 mg/dl overall as assessed by continuous glucose monitoring (CGM).
Time frame: 48 hours
The primary endpoint for this pilot study will be time within the target glucose range of 70-180 mg/dl overall as assessed by continuous glucose monitoring (CGM), during closed-loop use, determining if the combination of eMPC and the assessment of trust index can provide safe and effective glucose control.
11 secondary outcomes
Assessment of the trust index predictions vs. standard eMPC glucose predictions.
Time frame: 48 hours
Frequency of hypoglycemia during closed-loop use.
Time frame: 48 hours
Frequency of hyperglycemia during closed-loop use.
Time frame: 48 hours
Percent time within the target glucose range of 70-140 mg/dl during closed-loop use.
Time frame: 48 hours
Percent time glucose is within range 70-150 mg/dl postprandial within 5 hours following meals, during closed-loop use.
Time frame: 48 hours
Standard Deviation and Coefficient of Variation of glucose values
Time frame: 48 hours
Markers of hypo- and hyperglycemia
Time frame: 48 hours
Insulin Doses Given
Time frame: 48 hours
Number of treatments given for hypoglycemia (defined as carbohydrates given for treatment of a documented or suspected low blood sugar), during the 48 hours of closed-loop use.
Time frame: 48 hours
Number of alerts given by the HMS to prevent hypoglycemia
Time frame: 48 hours
Failure analysis of the devices/connectivity issues that may occur (# disconnects and device restarts).
Time frame: 48 hours
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 12 Jul 2018.
- Results publication: PubMed 29958023Pinsker JE, Laguna Sanz AJ, Lee JB, Church MM, Andre C, Lindsey LE, Doyle FJ 3rd, Dassau E. Evaluation of an Artificial Pancreas with Enhanced Model Predictive Control and a Glucose Prediction Trust Index with Unannounced Exercise. Diabetes Technol Ther. 2018 Jul;20(7):455-464. doi: 10.1089/dia.2018.0031.
- Individual participant dataSharing planned: No
Related trials for Type 1 Diabetes Mellitus
Not yet recruitingPhase 3
A Study to Evaluate the Effectiveness and Safety of the Drug AZD6234 for Managing Weight in Adults Who Are Obese or Overweight. These Participants May or May Not Also Have Type 2 Diabetes
Obesity, Overweight
RecruitingPhase 1
Pharmacokinetics, Safety, and Immunogenicity Comparison of Bmab1700 and Opdivo® as Adjuvant Monotherapy in Participants With Melanoma
Melanoma
Active, not recruitingPhase 2
A Study of Botensilimab and Balstilimab for the Treatment of Colorectal Cancer
Metastatic Colorectal Cancer
Not yet recruiting
Inter-Arm Differences in Continuous Glucose Monitor Readings in Adults With Diabetes
Continuous Glucose Monitoring, Type 1 Diabetes
RecruitingObservational study
Estimated Risk of Preeclampsia in the First Trimester and Its Association With Subclinical Atherosclerosis and Cardiovascular Risk in Women With Type 1 Diabetes
Type 1 Diabetes, Preeclampsia
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Jordan E Pinsker, MD principal investigator
Sansum Diabetes Research Institute
Eyal Dassau, PhD principal investigator
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University
Francis J Doyle III, PhD principal investigator
Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Artificial Pancreas Device in people with Type 1 Diabetes Mellitus, run by Sansum Diabetes Research Institute at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 9 inclusion and 10 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 12 Jul 2018. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Percent time within the target glucose range of 70-180 mg/dl overall as assessed by continuous glucose monitoring (CGM). (time frame: 48 hours). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03092310, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 12 Jul 2018.