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Exercise-Induced Hypoglycemia Prevention in Adults With Type 1 Diabetes Using an Artificial Pancreas
Hypoglycemia Prevention During and After Moderate Exercise in Adults With Type 1 Diabetes Using an Artificial Pancreas With Exercise Behavior Recognition
Studie Overzicht
Toestand
Conditie
Gedetailleerde beschrijving
Exercise remains a challenge to AP systems; more specifically, by the time exercise is detected it is often too late to avoid hypoglycemia without the ingestion of rapid carbohydrates or the use of rescue injections, such as glucagon. To this avail, the investigators propose to add a novel Model Predictive Control module to the proven USS system. This module is designed to compute insulin doses every 5 minutes that are designed to "optimally" maintain glycaemia around a target of 120mg/dL. The optimality is defined mathematically as minimizing deviations from basal rate injections and the distance between current and future (up to 2h) glycaemia from a physiologically feasible trajectory back down (or up) to a pre-specified target. Furthermore, the novel control system, labelled Multi Stage MPC or Ensemble MPC, accounts for a preset number of exercise scenarios during the prediction horizon, these scenarios being derived from the user historical record; this setup allows the control system to anticipate expected exercise bouts up to 2h in advance while maintaining the condition for optimal glycemic control.
By adding such module to a well validated system, the investigators expect an improvement in protection against hypoglycemia during and immediately after physical activity without increase in hyperglycemia. To demonstrate the feasibility of this approach, the novel anticipatory system will be compared to a naïve AP system during highly supervised hotel admissions with afternoon exercise. Participants will be asked to exercise regularly in the late afternoon during a month of data collection to generate the patterns to be anticipated.
Studietype
Inschrijving (Werkelijk)
Fase
- Niet toepasbaar
Contacten en locaties
Studie Locaties
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Virginia
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Charlottesville, Virginia, Verenigde Staten, 22908
- University of Virginia
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Deelname Criteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
Accepteert gezonde vrijwilligers
Beschrijving
Inclusion Criteria:
- Age ≥18 and ≤65 years
- Clinical diagnosis of Type 1 Diabetes for at least one year
- Currently using an insulin pump for at least 6 months
- Uses insulin parameters such as carbohydrate ratio and correction factors consistently on their insulin pump in order to dose insulin for meals or corrections
- Access to internet and willingness to upload data during the study
- Willingness to be physically active for at least 30 minutes per day at least 4 times per week
- Willingness to perform the required exercise regimen during Data Collection Period
- Willingness to not perform regular exercise outside of the study-regimented exercise window
- For females, not currently pregnant or breastfeeding. If a female is of child-bearing potential and sexually active, she must agree to use a form of contraception to prevent pregnancy while participating in the study.
- An understanding and willingness to follow the protocol and sign informed consent.
Exclusion Criteria:
- History of diabetic ketoacidosis (DKA) in the 12 months prior to enrollment.
- Severe hypoglycemia resulting in seizure or loss of consciousness in the 12 months prior to enrollment.
- Pregnancy or intent to become pregnant during the trial.
- Currently being treated for a seizure disorder
- Coronary artery disease or heart failure, unless written clearance is received from a cardiologist or primary care provider and documentation of a negative stress test within the year
- History of cardiac arrhythmia (except for benign premature atrial contractions and benign premature ventricular contractions which are permitted)
- Clinically significant electrocardiogram (ECG) at time of Screening, as interpreted by the study medical physician.
- Use of non-insulin glucose-lowering agent (including GLP-1 agonists, pramlintide, DPP-4 inhibitors, SGLT-2 inhibitors, biguanides, sulfonylureas and naturaceuticals) with the exception of participants who have been on a stable dose of Metformin for at least 3 months.
- A known medical condition that in the judgment of the investigator might interfere with the completion of the protocol such as the following examples:
- Inpatient psychiatric treatment in the past 6 months
- Presence of a known adrenal disorder
- Abnormal liver function test results (Transaminase >2 times the upper limit of normal); testing required for subjects taking medications known to affect liver function or with diseases known to affect liver function
- Uncontrolled thyroid disease
- Use of an automated insulin delivery mechanism that is not FDA approved during the data collection phase
- Use of an automated insulin delivery mechanism that is not downloadable by the subject or study team
- Inability to be physically active for at least 30 minutes per day for at least 4 times per week
- Current enrollment in another clinical trial, unless approved by the investigators of both studies or if clinical trial is a non-interventional registry trial.
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Behandeling
- Toewijzing: Gerandomiseerd
- Interventioneel model: Crossover-opdracht
- Masker: Geen (open label)
Wapens en interventies
Deelnemersgroep / Arm |
Interventie / Behandeling |
|---|---|
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Experimenteel: Control - Experimental Admissions
Subjects will be randomized following the Data Collection Phase in a 1:1 ratio.
Subjects in the Control-Experimental Arm will undergo the Control Admission first, utilizing an artificial pancreas (AP) controller that does not anticipate exercise (rMPC - naïve model predictive control), followed by the Experimental Admission, which will utilize an AP controller that has the ability to anticipate exercise (EnMPC - ensemble model predictive control).
During the 36-hour admissions, subjects will begin using the study AP system (control or experimental) on Day 1 around midday with a scheduled exercise activity in the evening.
Day 2 will consist of minimal activity and subjects will be discharged in the evening on Day 2.
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This AP controller has the ability to anticipate exercise activity by use of trends seen during the Data Collection Period.
This AP controller does not have the ability to anticipate exercise activity.
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Experimenteel: Experimental - Control Admissions
Subjects will be randomized following the Data Collection Phase in a 1:1 ratio.
Subjects in the Experimental-Control Arm will undergo the Experimental Admission first, utilizing an artificial pancreas (AP) controller that has the ability to anticipate exercise (EnMPC), followed by the Control Admission, which will utilize an AP controller that does not have the ability to anticipate exercise (rMPC).
During the 36-hour admissions, subjects will begin using the study AP system (control or experimental) on Day 1 around midday with a scheduled exercise activity in the evening.
Day 2 will consist of minimal activity and subjects will be discharged in the evening on Day 2.
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This AP controller has the ability to anticipate exercise activity by use of trends seen during the Data Collection Period.
This AP controller does not have the ability to anticipate exercise activity.
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Wat meet het onderzoek?
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Number of Hypoglycemic Occurrences in Relation to Exercise Activity
Tijdsspanne: 2 Hours
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Number of hypoglycemic occurrences immediately before, during, and immediately after exercise (~5-7pm) as defined by more than one consecutive CGM values below 70 mg/dL or hypoglycemic treatment per glycemic guidelines.
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2 Hours
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Secundaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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CGM Coefficient of Variation
Tijdsspanne: 36 Hours
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Coefficient of Variation of the CGM Values
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36 Hours
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Average CGM
Tijdsspanne: 36 Hours
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Average CGM value
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36 Hours
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Percent Time CGM Below 54 mg/dL
Tijdsspanne: 36 Hours
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Percentage of time CGM was below 54 mg/dL
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36 Hours
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Percent Time CGM Below 70 mg/dL
Tijdsspanne: 36 Hours
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Percentage of time CGM was below 70 mg/dL
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36 Hours
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Percent Time CGM Between 70 and 180 mg/dL
Tijdsspanne: 36 Hours
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Percentage of time CGM was between 70 and 180 mg/dL
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36 Hours
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Percent Time CGM Between 70 and 140 mg/dL
Tijdsspanne: 36 Hours
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Percentage of time CGM was between 70 and 140 mg/dL
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36 Hours
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Percent Time CGM Above 180 mg/dL
Tijdsspanne: 36 Hours
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Percentage of time CGM was above 180 mg/dL
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36 Hours
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Percent Time CGM Above 250 mg/dL
Tijdsspanne: 36 Hours
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Percentage of time CGM was above 250 mg/dL
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36 Hours
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CGM-based Low Blood Glucose Index
Tijdsspanne: 36 Hours
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CGM-based Low Blood Glucose Index (LBGI) which is a metric used to quantify the risk of hypoglycemia (low blood sugar) based on self-monitored blood glucose (SMBG) data.
LBGI is based on a nonlinear transformation of blood glucose values that corrects for the asymmetry of the glucose scale.
This transformation maps glucose values into a risk space (minimum risk = 0), where higher values correspond to higher risk.
Values <1 suggest low risk of hypoglycemia.
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36 Hours
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CGM Standard Deviation
Tijdsspanne: 36 Hours
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Standard Deviation of the CGM Values
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36 Hours
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Andere uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Number of Hypoglycemic Episodes
Tijdsspanne: 36 Hours
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Number of Hypoglycemic Episodes as defined by contiguous CGM below 70 mg/dL
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36 Hours
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Total Amount of Insulin Used
Tijdsspanne: 36 Hours
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Total Amount of Insulin Used, units
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36 Hours
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Medewerkers en onderzoekers
Sponsor
Onderzoekers
- Hoofdonderzoeker: Marc Breton, PhD, University of Virginia
Publicaties en nuttige links
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Studie record data
Bestudeer belangrijke data
Studie start (Werkelijk)
Primaire voltooiing (Werkelijk)
Studie voltooiing (Werkelijk)
Studieregistratiedata
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Werkelijk)
Updates van studierecords
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Meer informatie
Termen gerelateerd aan deze studie
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
- 180039
Plan Individuele Deelnemersgegevens (IPD)
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IPD-toegangscriteria voor delen
IPD delen Ondersteunend informatietype
- LEERPROTOCOOL
- ICF
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