NCT03842683

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

100
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
472

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jun 2016

Status
completed

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

Study Start

First participant enrolled

June 6, 2016

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 20, 2017

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 20, 2017

Completed
1.7 years until next milestone

First Submitted

Initial submission to the registry

February 13, 2019

Completed
2 days until next milestone

First Posted

Study publicly available on registry

February 15, 2019

Completed
9 months until next milestone

Results Posted

Study results publicly available

November 20, 2019

Completed
Last Updated

November 20, 2019

Status Verified

October 1, 2019

Enrollment Period

1 year

First QC Date

February 13, 2019

Results QC Date

July 22, 2019

Last Update Submit

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

CGMOTHER

This study seeks to assess CGM accuracy and develop prediction models for hypoglycemia detection and no intervention is therefore applied.

Eligibility Criteria

Age18 Years+
Sexall
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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: 28585879BACKGROUND
  • Jensen 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: 23631608BACKGROUND
  • Jensen 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: 23439169BACKGROUND
  • El-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: 28007348BACKGROUND
  • Rebrin 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: 20920428BACKGROUND
  • Kovatchev 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: 25436913BACKGROUND
  • Danne 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

Diabetes Mellitus, Type 1

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System Diseases

Results Point of Contact

Title
Dr. Morten Hasselstrøm Jensen
Organization
Steno Diabetes Center North Denmark

Study Officials

  • Peter Vestergaard, PhD

    Steno Diabetes Center North Denmark

    PRINCIPAL INVESTIGATOR

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