Study Results
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Basic Information
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COMPLETED
NA
43 participants
INTERVENTIONAL
2016-08-31
2018-09-21
Brief Summary
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Phase 1 The study objective is to compare conventional insulin therapy with closed-loop glucose control combined with once daily basal insulin injection over 72 hours in hospitalised insulin treated T2D subjects.
Phase 2 The study objective is to compare conventional insulin therapy with closed-loop glucose control up to maximum 15 days in hospitalised insulin treated T2D subjects.
Phase 3 The study objective is to compare conventional insulin therapy with closed-loop glucose control applying faster insulin aspart up to maximum 15 days in insulin-treated inpatients receiving parenteral and/or enteral nutrition.
Phase 4 The study objective is to compare automated closed-loop control using faster acting insulin aspart with closed-loop control using standard insulin aspart.
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Detailed Description
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The current management of in-patient hyperglycaemia in non-critical care is still far from ideal, and vary widely between different centres. The discordance between clinical evidence and practice is due to a number of factors which could potentially undermine patient care and safety. Of these, hypoglycaemia remains one the biggest barriers to managing in-patient hyperglycaemia. There is therefore a need to develop and validate a more effective and safer system to manage in-patient hyperglycaemia.
A closed-loop insulin infusion system has previously been tested and reported to be feasible and safe in intensive care patients. Its utilisation in non-critical patients in the general medical and surgical wards currently remains unproven. Its use in this cohort however could potentially be of significant practical and clinical value, especially in a busy ward environment. The Model Predictive Control (MPC) algorithm developed by our group at the University of Cambridge utilises fundamental glucoregulatory processes and predicts future glucose excursion resulting from projected insulin infusion rates. The algorithm can also account for the patient's meal intake and the duration of action of the short acting insulin used. This has the distinct advantage over the "reactive" approach of sliding scale insulin protocols, which treats hyperglycaemia after it has already occurred.
The MPC algorithm has been studied in intensive care and cardiac surgery patients, and results from these studies to date have been encouraging. It is shown to be associated with a significantly higher percentage of time within the blood glucose target range, without increasing the risk of severe hypoglycaemia. The expectant role of a closed-loop system using the MPC algorithm in non-critical care patients would therefore be to provide clinicians with an effective and safe method to manage hyperglycaemia in hospital.
In early 2017, faster-acting insulin aspart (Fiasp, Novo Nordisk, Copenhagen, Denmark) received marketing authorisation from the European Commission. Due to the more favourable pharmacokinetic profile, Fiasp has the potential to further improve safety and efficacy of fully automated closed-loop glucose control.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
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Fully Automated Closed-Loop Insulin Delivery (phase 1-4)
The control algorithm will automatically direct between meals and meal-related subcutaneous insulin delivery utilizing real-time continuous glucose monitoring (RT-CGM) data. The subcutaneous insulin pump will deliver insulin Aspart or similar. In phase 1, a once daily basal insulin analogue will also be given subcutaneously at 20% the patient's usual total daily dose. In phase 3 and 4 faster-acting insulin aspart (Fiasp) is applied.
Fully Automated Closed-Loop Insulin Delivery
Usual care/ fully-automated closed-loop using Iasp
Phase 1-3: During usual care (conventional therapy), subject's s.c. insulin dose and regimen on admission will be adjusted as necessary by the clinical team according to local centres' usual clinical practice. Subjects will have masked CGM sensors inserted during the study (CGM readings will be masked throughout the study).
Phase 4: subjects will receive fully-automated insulin delivery using standard insulin aspart (Iasp)
Conventional insulin therapy
Interventions
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Fully Automated Closed-Loop Insulin Delivery
Conventional insulin therapy
Eligibility Criteria
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Inclusion Criteria
* Type 2 Diabetes for at least 1 year as defined by WHO (phase 1 and 4)
* Inpatient hyperglycaemia requiring subcutaneous insulin therapy (phase 2 and 3)
* Treatment with subcutaneous insulin alone or in combination with oral glucose-lowering medication(s) (phase 4: basal bolus insulin regime for at least 3 months)
* Receiving parenteral and/or enteral nutrition (phase 3)
* HbA1c\<11.0% (phase 4)
Exclusion Criteria
* Known or suspected allergy against insulin
* Known proliferative retinopathy
* Current or planned pregnancy or breast feeding
* Unstable or end-stage cardiac and renal disease (phase 1 only)
* Planned surgery during study period (phase 1 only)
* Current in-patient in intensive care unit
* Any physical or psychological disease or medication(s) likely to interfere with the conduct of the study and interpretation of the study results, as judged by the study clinician
* Likely discharge earlier than 72 hours (phase 1 only)
18 Years
ALL
No
Sponsors
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Cambridge University Hospitals NHS Foundation Trust
OTHER
Insel Gruppe AG, University Hospital Bern
OTHER
University of Cambridge
OTHER
Responsible Party
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Hood Thabit
Clinical Investigator
Principal Investigators
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Roman Hovorka, PhD, MSc, BSc
Role: PRINCIPAL_INVESTIGATOR
University of Cambridge
Locations
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Inselspital, Bern University Hospital, University of Bern, Department of Diabetes, Endocrinology, Clinical Nutrition and Metabolism
Bern, , Switzerland
Cambridge University Hospitals NHS Foundation Trust
Cambridge, , United Kingdom
Countries
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References
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Bally L, Gubler P, Thabit H, Hartnell S, Ruan Y, Wilinska ME, Evans ML, Semmo M, Vogt B, Coll AP, Stettler C, Hovorka R. Fully closed-loop insulin delivery improves glucose control of inpatients with type 2 diabetes receiving hemodialysis. Kidney Int. 2019 Sep;96(3):593-596. doi: 10.1016/j.kint.2019.03.006. Epub 2019 Mar 20.
Boughton CK, Bally L, Martignoni F, Hartnell S, Herzig D, Vogt A, Wertli MM, Wilinska ME, Evans ML, Coll AP, Stettler C, Hovorka R. Fully closed-loop insulin delivery in inpatients receiving nutritional support: a two-centre, open-label, randomised controlled trial. Lancet Diabetes Endocrinol. 2019 May;7(5):368-377. doi: 10.1016/S2213-8587(19)30061-0. Epub 2019 Mar 29.
Bally L, Thabit H, Hartnell S, Andereggen E, Ruan Y, Wilinska ME, Evans ML, Wertli MM, Coll AP, Stettler C, Hovorka R. Closed-Loop Insulin Delivery for Glycemic Control in Noncritical Care. N Engl J Med. 2018 Aug 9;379(6):547-556. doi: 10.1056/NEJMoa1805233. Epub 2018 Jun 25.
Thabit H, Hartnell S, Allen JM, Lake A, Wilinska ME, Ruan Y, Evans ML, Coll AP, Hovorka R. Closed-loop insulin delivery in inpatients with type 2 diabetes: a randomised, parallel-group trial. Lancet Diabetes Endocrinol. 2017 Feb;5(2):117-124. doi: 10.1016/S2213-8587(16)30280-7. Epub 2016 Nov 9.
Other Identifiers
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A092763
Identifier Type: OTHER
Identifier Source: secondary_id
ANGIE02
Identifier Type: -
Identifier Source: org_study_id
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