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
調査の概要
状態
詳細な説明
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.
研究の種類
入学 (実際)
段階
- 適用できない
連絡先と場所
研究場所
-
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Virginia
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Charlottesville、Virginia、アメリカ、22908
- University of Virginia
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参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
説明
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.
研究計画
研究はどのように設計されていますか?
デザインの詳細
- 主な目的:処理
- 割り当て:ランダム化
- 介入モデル:クロスオーバー割り当て
- マスキング:なし(オープンラベル)
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
|
実験的: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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実験的: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.
|
この研究は何を測定していますか?
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Number of Hypoglycemic Occurrences in Relation to Exercise Activity
時間枠: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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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
CGM Coefficient of Variation
時間枠: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
時間枠: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
時間枠: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
時間枠:36 Hours
|
Percentage of time CGM was below 70 mg/dL
|
36 Hours
|
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Percent Time CGM Between 70 and 180 mg/dL
時間枠: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
時間枠:36 Hours
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Percentage of time CGM was between 70 and 140 mg/dL
|
36 Hours
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Percent Time CGM Above 180 mg/dL
時間枠: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
時間枠: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
時間枠: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
時間枠:36 Hours
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Standard Deviation of the CGM Values
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36 Hours
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その他の成果指標
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Number of Hypoglycemic Episodes
時間枠:36 Hours
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Number of Hypoglycemic Episodes as defined by contiguous CGM below 70 mg/dL
|
36 Hours
|
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Total Amount of Insulin Used
時間枠:36 Hours
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Total Amount of Insulin Used, units
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36 Hours
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協力者と研究者
スポンサー
捜査官
- 主任研究者:Marc Breton, PhD、University of Virginia
出版物と役立つリンク
便利なリンク
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (実際)
研究の完了 (実際)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
- 180039
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IPD 共有サポート情報タイプ
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