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The risk of hypoglycemia in individuals with type 1 diabetes increases considerably during exercise. As a result, many patients with type 1 diabetes experience fear of and reluctance to pursue physical activity, in order to avoid the discomforting symptoms associated with hypoglycemia. The bi-hormonal artificial pancreas, a device used for automatic delivery of insulin and glucagon subcutaneously to subjects with type 1 diabetes, is paving the way to revolutionize the management of this disease. The investigator's group has recently completed a study of the bi-hormonal artificial pancreas system during exercise, suggesting reduced hypoglycemia around the exercise period. In order to prepare for a future home study, the ability to detect, grade, and classify physical activity so as to appropriately adjust system parameters is vital in helping to prevent exercise induced hypoglycemia in the home setting.
This study is designed to collect 3-axis accelerometry data and heart rate data during a variety of different home activities, as well as during formal exercise in both healthy subjects and subjects with type 1 diabetes. Additionally, the investigators will observe the change in glucose levels before and after exercise in subjects with type 1 diabetes.
Full description
The artificial pancreas, a device used for automatic delivery of insulin and glucagon subcutaneously to subjects with type 1 diabetes, is paving the way to revolutionize the management of this disease. Already, the benefit of improved glycemic control compared to current open-loop pump therapy has been demonstrated in several trials. The investigator's group has shown that artificial pancreas algorithm dual hormone system effectively manages blood glucose in a clinic setting and the investigators have specifically shown great progress using glucagon to reduce hypoglycemic episodes outside of exercise. The investigators most recent inpatient study, as yet unpublished, shows that adjusting insulin and glucagon delivery during closed loop treatment, after announcing exercise, effectively reduces mean time below a glucose level of 70 mg/dl when compared to closed loop control without adjustments. The investigators utilized initial open-loop data from this study to help devise dosing changes for the artificial pancreas algorithm.
In order to prepare for a future home study, the ability to detect, grade, and classify physical activity so as to appropriately adjust system parameters is vital in helping to prevent exercise induced hypoglycemia in the home setting. Currently, our closed-loop system transmits heart rate and accelerometry outputs from a Zephyrlife BioPatch monitoring device to a Nexus 5 smart phone master controller via Bluetooth. The algorithm then converts the heart rate and accelerometry data into modified estimated energy expenditure - accounting for age, weight, height, sex, resting and sitting heart rates - to determine if exercise is present. However, further data collection is needed to hone the specificity and sensitivity of the detection algorithm to account for a wide variety of subject characteristics and activities.
This study is designed to collect 3-axis accelerometry data and heart rate data during a variety of different home activities, as well as during formal exercise, which included aerobic exercise (on a calibrated treadmill) and resistance exercise (straight-leg raises or equivalent) in healthy subjects as well as subjects with type 1 diabetes. Optionally VO2 data from a portable VO2 mask will be obtained. The data collected will be used to further enhance our algorithm that, in future closed-loop studies, will detect exercise and automatically trigger algorithmic adjustments to reduce exercise-related hypoglycemia during and after exercise in individuals with type 1 diabetes.
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Inclusion and exclusion criteria
TYPE 1 DIABETIC SUBJECT CRITERIA
Inclusion criteria:
Exclusion criteria:
a. Pregnancy or Lactation: i. For women of childbearing potential, there is a requirement for a negative urine pregnancy test. b. Any cardiovascular disease, defined as a clinically significant EKG abnormality at the time of screening or any history of: stroke, heart failure, myocardial infarction, angina pectoris, or coronary arterial bypass graft or angioplasty. Diagnosis of 2nd or 3rd degree heart block or any non-physiological arrhythmia judged by the investigator to be exclusionary. c. Renal insufficiency (GFR < 60 ml/min, using the MDRD equation as report by the OHSU laboratory). d. Hematocrit of less than or equal to 34%. e. History of severe hypoglycemia during the past 12 months prior to screening visit or hypoglycemia unawareness as judged by the investigator. f. Adrenal insufficiency. g. Any active infection. h. Known or suspected abuse of alcohol, narcotics, or illicit drugs (except marijuana use).
i. Seizure disorder. j. Active foot ulceration. k. Severe peripheral arterial disease characterized by ischemic rest pain or severe claudication. l. Major surgical operation within 30 days prior to screening. m. Use of an investigational drug within 30 days prior to screening. n. Chronic usage of any immunosuppressive medication (such as cyclosporine, azathioprine, sirolimus, or tacrolimus). o. Bleeding disorder, treatment with warfarin, or platelet count below 50,000. p. Current administration of oral or parenteral corticosteroids. q. Any life threatening disease, including malignant neoplasms and medical history of malignant neoplasms within the past 5 years prior to screening (except basal and squamous cell skin cancer). r. Any concurrent illness, other than diabetes, that is not controlled by a stable therapeutic regimen. s. Beta blockers or non-dihydropyridine calcium channel blockers. t. A positive response to any of the questions from the Physical Activity Readiness Questionnaire, see Appendix A. u. Any chest discomfort with physical activity, including pain or pressure, or other types of discomfort. v. Any clinically significant disease or disorder which in the opinion of the Investigator may jeopardize the subject's safety or compliance with the protocol.
HEALTHY SUBJECT CRITERIA
Inclusion Criteria:
Exclusion criteria:
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30 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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