이 페이지는 자동 번역되었으며 번역의 정확성을 보장하지 않습니다. 참조하십시오 영문판 원본 텍스트의 경우.

Exercise-Induced Hypoglycemia Prevention in Adults With Type 1 Diabetes Using an Artificial Pancreas

2026년 4월 14일 업데이트: Marc Breton

Hypoglycemia Prevention During and After Moderate Exercise in Adults With Type 1 Diabetes Using an Artificial Pancreas With Exercise Behavior Recognition

This is a randomized crossover trial with 1:1 randomization to the admission sequence of using the Control AP system (rMPC - Naïve Model Predictive Control) vs. Experimental AP system (EnMPC - Ensemble Model Predictive Control) over approximately 4 months. Eligible participants will proceed to the Data Collection Phase for approximately 28 days, during which they will participate in regimented exercise activities. If the participant collected adequate data during the Data Collection Phase, they will be randomized and undergo the study admissions in the assigned sequence. Each admission is approximately 36 hours in length and will consist of one afternoon of exercise and one without.

연구 개요

상세 설명

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.

연구 유형

중재적

등록 (실제)

15

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 장소

    • Virginia
      • Charlottesville, Virginia, 미국, 22908
        • University of Virginia

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

18년 (성인, 고령자)

건강한 자원 봉사자를 받아들입니다

아니

설명

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.

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 치료
  • 할당: 무작위
  • 중재 모델: 크로스오버 할당
  • 마스킹: 없음(오픈 라벨)

무기와 개입

참가자 그룹 / 팔
개입 / 치료
실험적: 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.
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.
실험적: 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.
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.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Number of Hypoglycemic Occurrences in Relation to Exercise Activity
기간: 2 Hours
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.
2 Hours

2차 결과 측정

결과 측정
측정값 설명
기간
CGM Coefficient of Variation
기간: 36 Hours
Coefficient of Variation of the CGM Values
36 Hours
Average CGM
기간: 36 Hours
Average CGM value
36 Hours
Percent Time CGM Below 54 mg/dL
기간: 36 Hours
Percentage of time CGM was below 54 mg/dL
36 Hours
Percent Time CGM Below 70 mg/dL
기간: 36 Hours
Percentage of time CGM was below 70 mg/dL
36 Hours
Percent Time CGM Between 70 and 180 mg/dL
기간: 36 Hours
Percentage of time CGM was between 70 and 180 mg/dL
36 Hours
Percent Time CGM Between 70 and 140 mg/dL
기간: 36 Hours
Percentage of time CGM was between 70 and 140 mg/dL
36 Hours
Percent Time CGM Above 180 mg/dL
기간: 36 Hours
Percentage of time CGM was above 180 mg/dL
36 Hours
Percent Time CGM Above 250 mg/dL
기간: 36 Hours
Percentage of time CGM was above 250 mg/dL
36 Hours
CGM-based Low Blood Glucose Index
기간: 36 Hours
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.
36 Hours
CGM Standard Deviation
기간: 36 Hours
Standard Deviation of the CGM Values
36 Hours

기타 결과 측정

결과 측정
측정값 설명
기간
Number of Hypoglycemic Episodes
기간: 36 Hours
Number of Hypoglycemic Episodes as defined by contiguous CGM below 70 mg/dL
36 Hours
Total Amount of Insulin Used
기간: 36 Hours
Total Amount of Insulin Used, units
36 Hours

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

수사관

  • 수석 연구원: Marc Breton, PhD, University of Virginia

간행물 및 유용한 링크

연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.

유용한 링크

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (실제)

2019년 4월 12일

기본 완료 (실제)

2020년 1월 13일

연구 완료 (실제)

2020년 1월 13일

연구 등록 날짜

최초 제출

2019년 2월 27일

QC 기준을 충족하는 최초 제출

2019년 2월 27일

처음 게시됨 (실제)

2019년 3월 1일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 5월 5일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 4월 14일

마지막으로 확인됨

2026년 4월 1일

추가 정보

이 연구와 관련된 용어

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

예

IPD 계획 설명

Will follow the NIH Data Sharing Policy and Implementation Guidance on sharing research resources for research purposes to qualified individuals in the scientific community.

IPD 공유 기간

Data will be made available after the publication of the manuscript.

IPD 공유 액세스 기준

The Data Sharing Agreements will be formulated by the study team

IPD 공유 지원 정보 유형

  • 연구_프로토콜
  • ICF

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

예

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

구독하다