Automated Closed-loop in Children and Adolescents With Type 1 Diabetes
NCT ID: NCT02129868
Last Updated: 2017-03-03
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
13 participants
INTERVENTIONAL
2014-04-30
2015-04-30
Brief Summary
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The purpose of the present study is to evaluate the efficacy and safety of automated overnight closed-loop, in children and adolescents with type 1 diabetes, using a novel system which has greatest potential for use in the home setting. The study will take place at a clinical research facility on two occasions, using a standardised protocol. The performance of the closed-loop system will be evaluated on day 1 of continuous glucose monitoring (CGM) sensor life as compared to on days 3 to 4 of sensor life. Data and experience gained from this study will be used for further refinements and development of the system for future home use.
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Detailed Description
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This is an open-label, randomised, 2-period cross-over study, using the Medtronic Android closed loop platform or similar, comparing the safety and efficacy of overnight closed loop glucose control on day 1 compared with day 3 to 4 of CGM sensor life. Participants will be randomised to undergo two overnight studies in a clinical research facility, during which glucose levels will be controlled by the computer-based closed-loop algorithm on day 1 of CGM sensor insertion or day 3 to 4 after sensor insertion.
A total of 16 children and adolescents with T1D between 6 and 18 years of age will be recruited through the Outpatient Diabetes Clinic in the Department of Paediatrics, Addenbrooke's Hospital and Paediatric Diabetes Centres in London, Norwich, and Ipswich, to allow for 12 available for assessment. All participants will be on insulin pump treatment with a good knowledge of insulin dose adjustments. The study will take place at the Wellcome Trust Clinical Research Facility (WTCRF), Cambridge. Participants will be admitted at the clinical research facility in the evening and stay until the following morning. During the two closed-loop visits, automated closed-loop glucose control with wireless data transmission will be performed. A Model-Predictive-Control algorithm will determine the insulin infusion rate based on interstitial glucose measured by a continuous subcutaneous glucose monitoring (CGM) system. Intravenous sampling for glucose and insulin levels will also be carried out on both study visits for post hoc validation of glucose sensor data and for future modelling purposes.
The primary efficacy endpoint is the time spent in the target plasma glucose range from 3.9 to 8 mmol/L. Safety evaluation is focused on the frequency and duration of episodes of hypoglycaemia.
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
TREATMENT
NONE
Study Groups
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Closed-loop on day 1 of CGM sensor life
Glucose level is controlled by the automated closed-loop glucose control system on day 1 after CGM sensor insertion.
Closed-loop (Android Closed-Loop platform)
The closed-loop system is purpose-built and comprises a hand-held computer containing a model predictive control (MPC) based glucose control algorithm and communicating with the CGM device and the insulin pump.
The Android Closed-Loop platform employs the Medtronic MiniMed Paradigm® Veo™ insulin pump system with CGM capability (use of MiniLink™Transmitter and sensor). A Radiofrequency (RF) translator module translates the RF protocol to Bluetooth® technology. An Android device containing an algorithm will use sensor glucose data to calculate pump strokes.
Closed-loop on day 3 of CGM sensor life
Glucose level is controlled by the automated closed-loop glucose control system on day 3 or 4 after CGM sensor insertion.
Closed-loop (Android Closed-Loop platform)
The closed-loop system is purpose-built and comprises a hand-held computer containing a model predictive control (MPC) based glucose control algorithm and communicating with the CGM device and the insulin pump.
The Android Closed-Loop platform employs the Medtronic MiniMed Paradigm® Veo™ insulin pump system with CGM capability (use of MiniLink™Transmitter and sensor). A Radiofrequency (RF) translator module translates the RF protocol to Bluetooth® technology. An Android device containing an algorithm will use sensor glucose data to calculate pump strokes.
Interventions
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Closed-loop (Android Closed-Loop platform)
The closed-loop system is purpose-built and comprises a hand-held computer containing a model predictive control (MPC) based glucose control algorithm and communicating with the CGM device and the insulin pump.
The Android Closed-Loop platform employs the Medtronic MiniMed Paradigm® Veo™ insulin pump system with CGM capability (use of MiniLink™Transmitter and sensor). A Radiofrequency (RF) translator module translates the RF protocol to Bluetooth® technology. An Android device containing an algorithm will use sensor glucose data to calculate pump strokes.
Eligibility Criteria
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Inclusion Criteria
* The subject has had type 1 diabetes, as defined by WHO criteria for at least 1 year or is confirmed C-peptide negative.
* The subject will have been an insulin pump user for at least 3 months, with a good knowledge of insulin dose adjustment.
* HbA1c between below 11 % based on analysis from central laboratory.
* The subject is literate in English.
* The subject is willing to undertake all study related activities.
Exclusion Criteria
* Any other physical or psychological disease likely to interfere with the normal conduct of the study and interpretation of the study results.
* Current treatment with drugs known to interfere with glucose metabolism such as systemic corticosteroids, non-selective beta-blockers and MAO inhibitors.
* Known or suspected allergy against insulin.
* Subjects with clinically significant nephropathy, neuropathy or proliferative retinopathy as judged by the investigator
* Patient is pregnant, or breast feeding during the period of the study.
* Total daily insulin dose ≥ 2 Units/kg/day
* Total daily insulin dose \< 10 Units/day
* Severe visual impairment
* Severe hearing impairment
* Subjects using implanted internal pacemaker
6 Years
18 Years
ALL
No
Sponsors
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Cambridge University Hospitals NHS Foundation Trust
OTHER
University of Cambridge
OTHER
Responsible Party
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Dr Roman Hovorka
Director of Research
Principal Investigators
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Roman Hovorka, PhD
Role: STUDY_DIRECTOR
University of Cambridge
Locations
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University of Cambridge
Cambridge, , United Kingdom
Countries
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References
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Hovorka R, Allen JM, Elleri D, Chassin LJ, Harris J, Xing D, Kollman C, Hovorka T, Larsen AM, Nodale M, De Palma A, Wilinska ME, Acerini CL, Dunger DB. Manual closed-loop insulin delivery in children and adolescents with type 1 diabetes: a phase 2 randomised crossover trial. Lancet. 2010 Feb 27;375(9716):743-51. doi: 10.1016/S0140-6736(09)61998-X. Epub 2010 Feb 4.
Hovorka R, Kumareswaran K, Harris J, Allen JM, Elleri D, Xing D, Kollman C, Nodale M, Murphy HR, Dunger DB, Amiel SA, Heller SR, Wilinska ME, Evans ML. Overnight closed loop insulin delivery (artificial pancreas) in adults with type 1 diabetes: crossover randomised controlled studies. BMJ. 2011 Apr 13;342:d1855. doi: 10.1136/bmj.d1855.
Elleri D, Allen JM, Biagioni M, Kumareswaran K, Leelarathna L, Caldwell K, Nodale M, Wilinska ME, Acerini CL, Dunger DB, Hovorka R. Evaluation of a portable ambulatory prototype for automated overnight closed-loop insulin delivery in young people with type 1 diabetes. Pediatr Diabetes. 2012 Sep;13(6):449-53. doi: 10.1111/j.1399-5448.2012.00903.x. Epub 2012 Jul 23.
Kumareswaran K, Elleri D, Allen JM, Harris J, Xing D, Kollman C, Nodale M, Murphy HR, Amiel SA, Heller SR, Wilinska ME, Acerini CL, Evans ML, Dunger DB, Hovorka R. Meta-analysis of overnight closed-loop randomized studies in children and adults with type 1 diabetes: the Cambridge cohort. J Diabetes Sci Technol. 2011 Nov 1;5(6):1352-62. doi: 10.1177/193229681100500606.
Tauschmann M, Allen JM, Wilinska ME, Ruan Y, Thabit H, Acerini CL, Dunger DB, Hovorka R. Sensor Life and Overnight Closed Loop: A Randomized Clinical Trial. J Diabetes Sci Technol. 2017 May;11(3):513-521. doi: 10.1177/1932296816678631. Epub 2016 Nov 11.
Other Identifiers
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APCam09
Identifier Type: -
Identifier Source: org_study_id
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