CGM Precision and Glycaemic Variability
Are Todays Continuous Glucose Monitoring Precise and Can They be Used to Reveal and Reduce Glycaemic Variability?
1 other identifier
observational
472
0 countries
N/A
Brief Summary
Use of devices for continuous monitoring of the blood sugar is valuable for people with diabetes to understand their disease and to help prevent low blood sugar. Furthermore, continuous monitoring should be used in drug development to evaluate efficacy and safety. However, the devices have been criticised for being too inaccurate. This investigation sought to reveal the inaccuracies of current devices and to assess the subsequent usability related to the mentioned use cases.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2016
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 6, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 20, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
June 20, 2017
CompletedFirst Submitted
Initial submission to the registry
February 13, 2019
CompletedFirst Posted
Study publicly available on registry
February 15, 2019
CompletedResults Posted
Study results publicly available
November 20, 2019
CompletedNovember 20, 2019
October 1, 2019
1 year
February 13, 2019
July 22, 2019
October 31, 2019
Conditions
Outcome Measures
Primary Outcomes (1)
Optimal Time Shift of Continuous Glucose Monitoring Measurements
Continuous glucose monitoring (CGM) measurements are delayed compared to blood glucose. The CGM signal is time-shifted -1 minute at a time and the mean absolute difference between CGM and blood glucose measurements are calculated at each step. The lowest mean absolute difference depicts the optimal time shift in minutes. The resultant mean absolute relative difference is provided as outcome. Publication reference: https://doi.org/10.1177/1932296819848721
16 weeks
Secondary Outcomes (1)
Area Under the Receiver Operating Characteristics Curve of the Hypoglycemia Prediction
16 weeks
Interventions
This study seeks to assess CGM accuracy and develop prediction models for hypoglycemia detection and no intervention is therefore applied.
Eligibility Criteria
Adults with type 1 diabetes
You may qualify if:
- Male or female, age at least 18 years at the time of signing the informed consent
- Diagnosed with T1DM (Type 1 Diabetes Mellitus) (based on clinical judgement and/or supported by laboratory analysis as per local guidelines) equal or above 1 year prior to the day of screening
- Using the same Medtronic pump (Minimed 530G (551/751), Paradigm Veo (554/754), Paradigm Revel (523/723), Paradigm (522/722)) for CSII in a basal-bolus regimen with a rapid acting insulin analogue for at least six months prior to screening and willing to stay on the same pump model throughout the trial (if the model is changed the change should not exceed 7 consecutive days.)
- HbA1c (glycosylated haemoglobin) 7.0-9.0% (53-75 mmol/mol) as assessed by central laboratory at screening
- Body mass index (BMI) below or equal to 35.0 kg/m\^2 at screening
- Ability and willingness to take at least 3 daily meal-time insulin bolus infusions every day throughout the trial
You may not qualify if:
- Any of the following: myocardial infarction, stroke, hospitalization for unstable angina or transient ischaemic attack within the past 180 days prior to the day of screening
- Planned coronary, carotid or peripheral artery revascularisation known on the day of screening
- History of hospitalization for ketoacidosis below or equal to 180 days prior to the day of screening
- Any condition which, in the opinion of the Investigator, might jeopardise a Subject's safety or compliance with the protocol
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Related Publications (7)
Rodbard D. Continuous Glucose Monitoring: A Review of Recent Studies Demonstrating Improved Glycemic Outcomes. Diabetes Technol Ther. 2017 Jun;19(S3):S25-S37. doi: 10.1089/dia.2017.0035.
PMID: 28585879BACKGROUNDJensen MH, Christensen TF, Tarnow L, Seto E, Dencker Johansen M, Hejlesen OK. Real-time hypoglycemia detection from continuous glucose monitoring data of subjects with type 1 diabetes. Diabetes Technol Ther. 2013 Jul;15(7):538-43. doi: 10.1089/dia.2013.0069. Epub 2013 Apr 30.
PMID: 23631608BACKGROUNDJensen MH, Christensen TF, Tarnow L, Mahmoudi Z, Johansen MD, Hejlesen OK. Professional continuous glucose monitoring in subjects with type 1 diabetes: retrospective hypoglycemia detection. J Diabetes Sci Technol. 2013 Jan 1;7(1):135-43. doi: 10.1177/193229681300700116.
PMID: 23439169BACKGROUNDEl-Khatib FH, Balliro C, Hillard MA, Magyar KL, Ekhlaspour L, Sinha M, Mondesir D, Esmaeili A, Hartigan C, Thompson MJ, Malkani S, Lock JP, Harlan DM, Clinton P, Frank E, Wilson DM, DeSalvo D, Norlander L, Ly T, Buckingham BA, Diner J, Dezube M, Young LA, Goley A, Kirkman MS, Buse JB, Zheng H, Selagamsetty RR, Damiano ER, Russell SJ. Home use of a bihormonal bionic pancreas versus insulin pump therapy in adults with type 1 diabetes: a multicentre randomised crossover trial. Lancet. 2017 Jan 28;389(10067):369-380. doi: 10.1016/S0140-6736(16)32567-3. Epub 2016 Dec 20.
PMID: 28007348BACKGROUNDRebrin K, Sheppard NF Jr, Steil GM. Use of subcutaneous interstitial fluid glucose to estimate blood glucose: revisiting delay and sensor offset. J Diabetes Sci Technol. 2010 Sep 1;4(5):1087-98. doi: 10.1177/193229681000400507.
PMID: 20920428BACKGROUNDKovatchev BP, Patek SD, Ortiz EA, Breton MD. Assessing sensor accuracy for non-adjunct use of continuous glucose monitoring. Diabetes Technol Ther. 2015 Mar;17(3):177-86. doi: 10.1089/dia.2014.0272. Epub 2014 Dec 1.
PMID: 25436913BACKGROUNDDanne T, Nimri R, Battelino T, Bergenstal RM, Close KL, DeVries JH, Garg S, Heinemann L, Hirsch I, Amiel SA, Beck R, Bosi E, Buckingham B, Cobelli C, Dassau E, Doyle FJ 3rd, Heller S, Hovorka R, Jia W, Jones T, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Maahs D, Murphy HR, Norgaard K, Parkin CG, Renard E, Saboo B, Scharf M, Tamborlane WV, Weinzimer SA, Phillip M. International Consensus on Use of Continuous Glucose Monitoring. Diabetes Care. 2017 Dec;40(12):1631-1640. doi: 10.2337/dc17-1600.
PMID: 29162583BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Dr. Morten Hasselstrøm Jensen
- Organization
- Steno Diabetes Center North Denmark
Study Officials
- PRINCIPAL INVESTIGATOR
Peter Vestergaard, PhD
Steno Diabetes Center North Denmark
Publication Agreements
- PI is Sponsor Employee
- Yes
- Restrictive Agreement
- No
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
February 13, 2019
First Posted
February 15, 2019
Study Start
June 6, 2016
Primary Completion
June 20, 2017
Study Completion
June 20, 2017
Last Updated
November 20, 2019
Results First Posted
November 20, 2019
Record last verified: 2019-10
Data Sharing
- IPD Sharing
- Will not share