Artificial Pancreas With Carbohydrate Suggestion for Patients With Type 1 Diabetes Prone to Hypoglycemia
NCT ID: NCT05628662
Last Updated: 2022-11-29
Study Results
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Basic Information
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COMPLETED
NA
12 participants
INTERVENTIONAL
2021-10-22
2022-04-06
Brief Summary
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The SAFE-AP system is a single-hormone hybrid closed-loop controller based on a proportional derivative with an insulin feedback controller that integrates a safety layer with insulin-on-board constraints and sliding mode reference conditioning. The hybrid closed-loop system includes a second safety feedback loop with a controller that triggers carbohydrate recommendations to the patient. Both control loops are coordinated to ensure that the counter-regulatory effect of rescue carbohydrates is not counteracted with insulin. Such system has been previously proven effective in unannounced exercise, one of the main challenges in AID systems development. Additionally, the algorithm has been recently tailored to achieve a better control in the subgroup of T1D patients prone to hypoglycemia.
In this project, a rigorous clinical testing of the SAFE-AP system will be carried out in 12 patients with T1D and problematic hypoglycemia, despite treatment with continuous subcutaneous insulin infusion. The safety and performance of the system will be evaluated in a 32-hour pilot study, including 4 meals, one overnight period and 2 unannounced aerobic exercise sessions. The study will be performed in a hospital setting with the on-site supervision of a specialized nurse and a diabetologist, as well as an engineer in remote control.
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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Automated Insulin Delivery System (SAFE-AP)
Sliding Mode Reference Conditioning (SMRC) Closed-loop insulin administration. Automated insulin infusion based on subcutaneous continuous glucose monitoring (CGM). Commercially available insulin infusion systems and CGM devices will be used. However, insulin infusion will be driven by the software under investigation (SAFE-AP) based on blood glucose estimations from CGM.
Automated Insulin Delivery System (SAFE-AP)
Each subject will undergo a 32-hour in-hospital study, including 4 meals (60 grams of carbohydrates each, except 50 grams for breakfast), one overnight period and 2 unannounced aerobic exercise sessions. Each exercise session consists of three 15-minute sets on a cycle ergometer at 70% of maximum heart rate with 5 minutes of rest between sets.
Interventions
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Automated Insulin Delivery System (SAFE-AP)
Each subject will undergo a 32-hour in-hospital study, including 4 meals (60 grams of carbohydrates each, except 50 grams for breakfast), one overnight period and 2 unannounced aerobic exercise sessions. Each exercise session consists of three 15-minute sets on a cycle ergometer at 70% of maximum heart rate with 5 minutes of rest between sets.
Eligibility Criteria
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Inclusion Criteria
* Treated with continuous subcutaneous insulin infusion (CSII) for at least six months.
* Trained to carbohydrate counting.
* Subjects prone to hypoglycemia, despite optimal diabetes management and hypoglycemia-specific education programs, as defined by \>4 hypoglycemic episodes per week and at least one of the following:
1. Occurrence of at least 2 severe hypoglycemic episodes during the last 2 years (need for third party).
2. Occurrence of at least 1 severe hypoglycemic episode during the last 2 years and high glycemic variability (coefficient of variation \>36%).
3. Impaired awareness of hypoglycemia (Clarke test ≥4).
Exclusion Criteria
* Subject willing to wear the SAFE-AP system continuously throughout the study.
* Pregnancy and breastfeeding.
* History of drug or alcohol abuse.
* Progressive fatal disease.
* Clinically relevant microvascular complications (macroalbuminuria, pre-proliferative and proliferative retinopathy), cardiovascular, hepatic, neurological, endocrine or other systematic, apart from T1D, which may hamper the implementation of the clinical study protocol or interpretation of results study.
* Scheduled surgery during the study period.
* Mental conditions that prevent the subject to understand the nature, purpose and possible consequences of the study.
* Subjects who are unlikely to meet the clinical study protocol, eg. uncooperative attitude, inability to return for follow-up visits, or poor probability of completing the study.
* Using an experimental drug or device during the past 30 days.
18 Years
ALL
No
Sponsors
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Universitat Politècnica de València
OTHER
Universitat de Girona
OTHER
Hospital Clinic of Barcelona
OTHER
Responsible Party
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Ignacio Conget
Head of Endocrinology and Nutrition Department, Principal Investigator
Principal Investigators
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Jorge Bondia, PhD
Role: STUDY_DIRECTOR
Universitat Politècnica de València
Josep Vehí, PhD
Role: STUDY_DIRECTOR
Universitat de Girona
Ignacio Conget, MD PhD
Role: STUDY_DIRECTOR
Hospital Clinic of Barcelona
Marga Giménez, MD PhD
Role: STUDY_CHAIR
Hospital Clinic of Barcelona
Locations
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Hospital Clínic de Barcelona
Barcelona, , Spain
Countries
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References
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Vinals C, Beneyto A, Martin-SanJose JF, Furio-Novejarque C, Bertachi A, Bondia J, Vehi J, Conget I, Gimenez M. Artificial Pancreas With Carbohydrate Suggestion Performance for Unannounced and Announced Exercise in Type 1 Diabetes. J Clin Endocrinol Metab. 2021 Jan 1;106(1):55-63. doi: 10.1210/clinem/dgaa562.
Rossetti P, Quiros C, Moscardo V, Comas A, Gimenez M, Ampudia-Blasco FJ, Leon F, Montaser E, Conget I, Bondia J, Vehi J. Closed-Loop Control of Postprandial Glycemia Using an Insulin-on-Board Limitation Through Continuous Action on Glucose Target. Diabetes Technol Ther. 2017 Jun;19(6):355-362. doi: 10.1089/dia.2016.0443. Epub 2017 May 1.
Quiros C, Bertachi A, Gimenez M, Biagi L, Viaplana J, Vinals C, Vehi J, Conget I, Bondia J. Blood glucose monitoring during aerobic and anaerobic physical exercise using a new artificial pancreas system. Endocrinol Diabetes Nutr (Engl Ed). 2018 Jun-Jul;65(6):342-347. doi: 10.1016/j.endinu.2017.12.012. Epub 2018 Feb 23. English, Spanish.
Other Identifiers
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HEAP
Identifier Type: -
Identifier Source: org_study_id
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