Accelerometer Use in the Prevention of Exercise-Associated Hypoglycemia in Type 1 Diabetes: Outpatient Exercise Protocol
1 other identifier
interventional
18
1 country
1
Brief Summary
Manually suspending an insulin pump at the beginning of aerobic exercise reduces the risk of exercise-associated hypoglycemia (low blood sugar) in patients with type 1 diabetes (T1D). However, since patients with T1D often do not make exercise-related adjustments to their insulin regimen, our group has developed an algorithm to initiate pump suspension in a user-independent manner upon projecting exercise-associated hypoglycemia. The current study seeks to test the efficacy of this algorithm by asking users to participate in a sports camp while wearing an insulin pump, continuous glucose monitor, and accelerometer/heart rate monitor (to detect exercise), which will communicate electronically to a pump shutoff algorithm. On one of the days the algorithm will be used, while on the other day their normal insulin rate will continue for comparative purposes. The investigators hypothesize that the use of an accelerometer-augmented computer algorithm for insulin pump suspension during exercise will result in significantly fewer episodes of hypoglycemia (both during exercise and in post-exercise monitoring) than in exercise without a pump suspension algorithm.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Mar 2014
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 17, 2014
CompletedFirst Posted
Study publicly available on registry
January 28, 2014
CompletedStudy Start
First participant enrolled
March 12, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2014
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2014
CompletedResults Posted
Study results publicly available
October 22, 2019
CompletedDecember 27, 2019
December 1, 2019
2 months
January 17, 2014
October 2, 2019
December 17, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Count of Participants Experiencing a Hypoglycemic Event During Scheduled Exercise
The primary outcome will be a hypoglycemic event defined as (1) any meter blood glucose (BG) reading of ≤60 mg/dl, (2) two consecutive meter BG readings ≤70 mg/dl done within one hour, or (3) any instance in which carbohydrates were given at a subject's request for symptoms of hypoglycemia
Measurements occurring during exercise (up to 8 hours)
Secondary Outcomes (1)
Count of Participants With Hypoglycemia in the Post Exercise Period
In the time following exercise until the following morning (up to 24 hours)
Study Arms (2)
On-algorithm first, then Off-algorithm
EXPERIMENTALUsers will participate in two sports camp sessions while wearing an insulin pump, continuous glucose monitor, and accelerometer/heart rate monitor (to detect exercise), which can communicate electronically to a pump shutoff algorithm that insulin delivery should be shut off. On one sports day, the algorithm is turned on; on the other day, the algorithm is turned off.
Off-algorithm first, then On-algorithm
EXPERIMENTALUsers will participate in two sports camp sessions while wearing an insulin pump, continuous glucose monitor, and accelerometer/heart rate monitor (to detect exercise), which can communicate electronically to a pump shutoff algorithm that insulin delivery should be shut off. On one sports day, the algorithm is turned on; on the other day, the algorithm is turned off.
Interventions
If the computer algorithm senses impending risk for hypoglycemia it sends an alert to an on-site physician to recommend a manual suspension of the subject's insulin pump
Eligibility Criteria
You may qualify if:
- Clinical diagnosis of type 1 diabetes for 1-20 years. The diagnosis of type 1 diabetes is based on the investigator's judgment; C peptide level and antibody determinations are not needed.
- Age 8 to 25 years old.
- On daily use of an insulin pump and not anticipating a change prior to the subject's completion of the study.
- Willingness to allow for CGM insertion (if not already using a study-designated CGM) for use during the study.
- HbA1c \<10%.
- Parent/guardian and subject understand the study protocol and agree to comply with it.
- Informed Consent Form signed by the parent/guardian and Child Assent Form signed.
You may not qualify if:
- A history of recent injury to body or limb, Addison's disease, muscular disorder, organ/bone marrow transplant, heart disease, or use of any medication or other significant medical disorder if that injury, medication or disease in the judgment of the investigator will affect the completion of the exercise protocol.
- Current use of glucocorticoid medication (by any route of administration).
- Current use of a beta blocker medication.
- Severe hypoglycemia resulting in seizure or loss of consciousness in the four weeks prior to sports camp (if a severe episode occurs after the first but prior to the scheduled second admission, the visit will be deferred).
- Active infection (if at the time of the planned second visit an infection is present, the visit will be deferred).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Stanford University
Stanford, California, 94305, United States
Related Publications (19)
American Diabetes Association. Physical activity/exercise and diabetes. Diabetes Care. 2004 Jan;27 Suppl 1:S58-62. doi: 10.2337/diacare.27.2007.s58. No abstract available.
PMID: 14693927BACKGROUNDSonnenberg GE, Kemmer FW, Berger M. Exercise in type 1 (insulin-dependent) diabetic patients treated with continuous subcutaneous insulin infusion. Prevention of exercise induced hypoglycaemia. Diabetologia. 1990 Nov;33(11):696-703. doi: 10.1007/BF00400572.
PMID: 2076801BACKGROUNDMacDonald MJ. Postexercise late-onset hypoglycemia in insulin-dependent diabetic patients. Diabetes Care. 1987 Sep-Oct;10(5):584-8. doi: 10.2337/diacare.10.5.584.
PMID: 3677976BACKGROUNDTuominen JA, Karonen SL, Melamies L, Bolli G, Koivisto VA. Exercise-induced hypoglycaemia in IDDM patients treated with a short-acting insulin analogue. Diabetologia. 1995 Jan;38(1):106-11. doi: 10.1007/BF02369359.
PMID: 7744214BACKGROUNDRabasa-Lhoret R, Bourque J, Ducros F, Chiasson JL. Guidelines for premeal insulin dose reduction for postprandial exercise of different intensities and durations in type 1 diabetic subjects treated intensively with a basal-bolus insulin regimen (ultralente-lispro). Diabetes Care. 2001 Apr;24(4):625-30. doi: 10.2337/diacare.24.4.625.
PMID: 11315820BACKGROUNDBernardini AL, Vanelli M, Chiari G, Iovane B, Gelmetti C, Vitale R, Errico MK. Adherence to physical activity in young people with type 1 diabetes. Acta Biomed. 2004 Dec;75(3):153-7.
PMID: 15796088BACKGROUNDDevadoss M, Kennedy L, Herbold N. Endurance athletes and type 1 diabetes. Diabetes Educ. 2011 Mar-Apr;37(2):193-207. doi: 10.1177/0145721710395782. Epub 2011 Feb 15.
PMID: 21325065BACKGROUNDBuckingham B, Cobry E, Clinton P, Gage V, Caswell K, Kunselman E, Cameron F, Chase HP. Preventing hypoglycemia using predictive alarm algorithms and insulin pump suspension. Diabetes Technol Ther. 2009 Feb;11(2):93-7. doi: 10.1089/dia.2008.0032.
PMID: 19848575BACKGROUNDCengiz E, Swan KL, Tamborlane WV, Steil GM, Steffen AT, Weinzimer SA. Is an automatic pump suspension feature safe for children with type 1 diabetes? An exploratory analysis with a closed-loop system. Diabetes Technol Ther. 2009 Apr;11(4):207-10. doi: 10.1089/dia.2008.0102.
PMID: 19344194BACKGROUNDBuckingham B, Chase HP, Dassau E, Cobry E, Clinton P, Gage V, Caswell K, Wilkinson J, Cameron F, Lee H, Bequette BW, Doyle FJ 3rd. Prevention of nocturnal hypoglycemia using predictive alarm algorithms and insulin pump suspension. Diabetes Care. 2010 May;33(5):1013-7. doi: 10.2337/dc09-2303. Epub 2010 Mar 3.
PMID: 20200307BACKGROUNDDiabetes Research in Children Network (DirecNet) Study Group; Tsalikian E, Kollman C, Tamborlane WB, Beck RW, Fiallo-Scharer R, Fox L, Janz KF, Ruedy KJ, Wilson D, Xing D, Weinzimer SA. Prevention of hypoglycemia during exercise in children with type 1 diabetes by suspending basal insulin. Diabetes Care. 2006 Oct;29(10):2200-4. doi: 10.2337/dc06-0495.
PMID: 17003293BACKGROUNDPlasqui G, Westerterp KR. Physical activity assessment with accelerometers: an evaluation against doubly labeled water. Obesity (Silver Spring). 2007 Oct;15(10):2371-9. doi: 10.1038/oby.2007.281.
PMID: 17925461BACKGROUNDGradmark A, Pomeroy J, Renstrom F, Steiginga S, Persson M, Wright A, Bluck L, Domellof M, Kahn SE, Mogren I, Franks PW. Physical activity, sedentary behaviors, and estimated insulin sensitivity and secretion in pregnant and non-pregnant women. BMC Pregnancy Childbirth. 2011 Jun 16;11:44. doi: 10.1186/1471-2393-11-44.
PMID: 21679399BACKGROUNDBalkau B, Mhamdi L, Oppert JM, Nolan J, Golay A, Porcellati F, Laakso M, Ferrannini E; EGIR-RISC Study Group. Physical activity and insulin sensitivity: the RISC study. Diabetes. 2008 Oct;57(10):2613-8. doi: 10.2337/db07-1605. Epub 2008 Jun 30.
PMID: 18591396BACKGROUNDEkelund U, Griffin SJ, Wareham NJ. Physical activity and metabolic risk in individuals with a family history of type 2 diabetes. Diabetes Care. 2007 Feb;30(2):337-42. doi: 10.2337/dc06-1883.
PMID: 17259504BACKGROUNDSimmons RK, Griffin SJ, Steele R, Wareham NJ, Ekelund U; ProActive Research Team. Increasing overall physical activity and aerobic fitness is associated with improvements in metabolic risk: cohort analysis of the ProActive trial. Diabetologia. 2008 May;51(5):787-94. doi: 10.1007/s00125-008-0949-4. Epub 2008 Mar 4.
PMID: 18317727BACKGROUNDHealy GN, Wijndaele K, Dunstan DW, Shaw JE, Salmon J, Zimmet PZ, Owen N. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care. 2008 Feb;31(2):369-71. doi: 10.2337/dc07-1795. Epub 2007 Nov 13.
PMID: 18000181BACKGROUNDArvidsson D, Fitch M, Hudes ML, Tudor-Locke C, Fleming SE. Accelerometer response to physical activity intensity in normal-weight versus overweight African American children. J Phys Act Health. 2011 Jul;8(5):682-92. doi: 10.1123/jpah.8.5.682.
PMID: 21734314BACKGROUNDStenerson M, Cameron F, Payne SR, Payne SL, Ly TT, Wilson DM, Buckingham BA. The impact of accelerometer use in exercise-associated hypoglycemia prevention in type 1 diabetes. J Diabetes Sci Technol. 2015 Jan;9(1):80-5. doi: 10.1177/1932296814551045. Epub 2014 Sep 17.
PMID: 25231116RESULT
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Bruce Buckingham, M.D.
- Organization
- Stanford University
Study Officials
- PRINCIPAL INVESTIGATOR
Bruce A Buckingham, MD
Stanford University
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor of Pediatric Endocrinology
Study Record Dates
First Submitted
January 17, 2014
First Posted
January 28, 2014
Study Start
March 12, 2014
Primary Completion
May 1, 2014
Study Completion
May 1, 2014
Last Updated
December 27, 2019
Results First Posted
October 22, 2019
Record last verified: 2019-12