Skip to main content
  • More from ADA
    • Diabetes Care
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care in Diabetes
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care
  • Subscribe
  • Log in
  • My Cart
  • Follow ada on Twitter
  • RSS
  • Visit ada on Facebook
Diabetes

Advanced Search

Main menu

  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • ADA Scientific Sessions Abstracts
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • ADA Scientific Sessions Abstracts
    • Diabetes COVID-19 Article Collection
    • Diabetes Symposium 2020
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Individual Subscriptions
    • Institutional Subscriptions and Site Licenses
    • Access Institutional Usage Reports
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcasts
    • Diabetes Core Update
    • Special Podcast Series: Therapeutic Inertia
    • Special Podcast Series: Influenza Podcasts
    • Special Podcast Series: SGLT2 Inhibitors
    • Special Podcast Series: COVID-19
  • Submit
    • Submit a Manuscript
    • Submit Cover Art
    • ADA Journal Policies
    • Instructions for Authors
    • ADA Peer Review
  • More from ADA
    • Diabetes Care
    • Clinical Diabetes
    • Diabetes Spectrum
    • ADA Standards of Medical Care in Diabetes
    • ADA Scientific Sessions Abstracts
    • BMJ Open Diabetes Research & Care

User menu

  • Subscribe
  • Log in
  • My Cart

Search

  • Advanced search
Diabetes
  • Home
  • Current
    • Current Issue
    • Online Ahead of Print
    • ADA Scientific Sessions Abstracts
  • Browse
    • By Topic
    • Issue Archive
    • Saved Searches
    • ADA Scientific Sessions Abstracts
    • Diabetes COVID-19 Article Collection
    • Diabetes Symposium 2020
  • Info
    • About the Journal
    • About the Editors
    • ADA Journal Policies
    • Instructions for Authors
    • Guidance for Reviewers
  • Reprints/Reuse
  • Advertising
  • Subscriptions
    • Individual Subscriptions
    • Institutional Subscriptions and Site Licenses
    • Access Institutional Usage Reports
    • Purchase Single Issues
  • Alerts
    • E­mail Alerts
    • RSS Feeds
  • Podcasts
    • Diabetes Core Update
    • Special Podcast Series: Therapeutic Inertia
    • Special Podcast Series: Influenza Podcasts
    • Special Podcast Series: SGLT2 Inhibitors
    • Special Podcast Series: COVID-19
  • Submit
    • Submit a Manuscript
    • Submit Cover Art
    • ADA Journal Policies
    • Instructions for Authors
    • ADA Peer Review
Poster Presentations: Clinical Diabetes/Therapeutics

888-P: Day vs. Nighttime Performance of Continuous Glucose Monitoring Systems in Children with Type 1 Diabetes during a Diabetes Summer Camp

  1. BIRGIT RAMI-MERHAR,
  2. KATRIN NAGL,
  3. GABRIELE BERGER,
  4. ANNA SCHÜTZ,
  5. FELIX ABERER and
  6. JULIA K. MADER
  1. Vienna, Austria, Graz, Austria
Diabetes 2020 Jun; 69(Supplement 1): -. https://doi.org/10.2337/db20-888-P
Previous
  • Article
  • Figures & Tables
  • Info & Metrics
Loading

Abstract

Continuous subcutaneous glucose monitoring (CGM) use is increasing in diabetes care. Still there are concerns with regard to sensor accuracy especially at night.

Aim of the Study: To assess accuracy of commonly used CGM systems at a 2 week diabetes camp in children with type 1 diabetes (T1D) ages 9-14 years.

Out of 38 children, 37 routinely wore a CGM system throughout the camp. Baseline characteristics: age 11.0 (9.9;12.1) years; 57% girls; HbA1c 7.2% (6.9; 7.7); diabetes duration 3.6 (2.7; 6.3) years (median (interquartile range)). Capillary glucose measurements were performed prior to main meals, at bedtime and whenever deemed necessary by medical staff after thoroughly cleaning the finger tips. Calibrations of Medtronic Enlite was performed twice daily when glycemia was stable. All concomitantly available data pairs were used for the analysis. Night-time was defined as period when children were supposed to be in bed (10 PM until 7 AM).

Sensor distribution: 51% Abbott Libre, 35% Medtronic Enlite, 14% Dexcom G6.

CGM accuracy shown in Table 1: MARD in % (interquartile range)).

Sensor performance of the adequately calibrated Medtronic system outperformed the factory-calibrated sensors in most situations. All sensors performed worse in hypoglycaemia. During the nights the MARD was higher, potentially due to pressure artefacts.

Figure1
  • Download figure
  • Open in new tab
  • Download powerpoint

Disclosure B. Rami-Merhar: Advisory Panel; Self; Abbott. Speaker’s Bureau; Self; Eli Lilly and Company, Medtronic. K. Nagl: None. G. Berger: None. A. Schütz: None. F. Aberer: None. J.K. Mader: Advisory Panel; Self; Becton, Dickinson and Company, Eli Lilly and Company, Medtronic, Prediktor Medical, Sanofi-Aventis. Speaker’s Bureau; Self; Abbott, Eli Lilly and Company, Medtronic, Novo Nordisk A/S, Roche Diabetes Care, Sanofi-Aventis.

  • © 2020 by the American Diabetes Association
http://www.diabetesjournals.org/content/license

Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at http://www.diabetesjournals.org/content/license.

Previous
Back to top
Diabetes: 69 (Supplement 1)

In this Issue

June 2020, 69(Supplement 1)
  • Table of Contents
  • Index by Author
Sign up to receive current issue alerts
View Selected Citations (0)
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about Diabetes.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
888-P: Day vs. Nighttime Performance of Continuous Glucose Monitoring Systems in Children with Type 1 Diabetes during a Diabetes Summer Camp
(Your Name) has forwarded a page to you from Diabetes
(Your Name) thought you would like to see this page from the Diabetes web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
888-P: Day vs. Nighttime Performance of Continuous Glucose Monitoring Systems in Children with Type 1 Diabetes during a Diabetes Summer Camp
BIRGIT RAMI-MERHAR, KATRIN NAGL, GABRIELE BERGER, ANNA SCHÜTZ, FELIX ABERER, JULIA K. MADER
Diabetes Jun 2020, 69 (Supplement 1) 888-P; DOI: 10.2337/db20-888-P

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Add to Selected Citations
Share

888-P: Day vs. Nighttime Performance of Continuous Glucose Monitoring Systems in Children with Type 1 Diabetes during a Diabetes Summer Camp
BIRGIT RAMI-MERHAR, KATRIN NAGL, GABRIELE BERGER, ANNA SCHÜTZ, FELIX ABERER, JULIA K. MADER
Diabetes Jun 2020, 69 (Supplement 1) 888-P; DOI: 10.2337/db20-888-P
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
  • Figures & Tables
  • Info & Metrics

Related Articles

Cited By...

More in this TOC Section

Poster Presentations: Clinical Diabetes/Therapeutics

  • 1314-P: A Low HbA1c during the First 2 Years Correlates with a Higher Percentage of HbA1c ≤6.5% (48 mmol/mol) and Lower Percentage >8.0% (64 mmol/mol) on a Clinic Level
  • 1304-P: Glycemic Trends in a Hockey Camp for Youth with Type 1 Diabetes (T1D)
  • 1385-P: Utility of Hemoglobin A1c for Predicting Adverse Pregnancy Outcomes in Women with Gestational Diabetes Mellitus
Show more Poster Presentations: Clinical Diabetes/Therapeutics

P: Clinical Therapeutics/New Technology—Glucose Monitoring and Sensing

  • 911-P: Independent Accuracy Verification of a Smartphone App’s Blood Glucose Prediction Algorithm
  • 904-P: Therapeutic Decisions Based on Interval Analysis of Blood Glucose Curves of Ambulatory Glucose Profile Help Improving Blood Glucose and Glycemic Variability
Show more P: Clinical Therapeutics/New Technology—Glucose Monitoring and Sensing

Similar Articles

Navigate

  • Current Issue
  • Online Ahead of Print
  • Scientific Sessions Abstracts
  • Collections
  • Archives
  • Submit
  • Subscribe
  • Email Alerts
  • RSS Feeds

More Information

  • About the Journal
  • Instructions for Authors
  • Journal Policies
  • Reprints and Permissions
  • Advertising
  • Privacy Policy: ADA Journals
  • Copyright Notice/Public Access Policy
  • Contact Us

Other ADA Resources

  • Diabetes Care
  • Clinical Diabetes
  • Diabetes Spectrum
  • Scientific Sessions Abstracts
  • Standards of Medical Care in Diabetes
  • BMJ Open - Diabetes Research & Care
  • Professional Books
  • Diabetes Forecast

 

  • DiabetesJournals.org
  • Diabetes Core Update
  • ADA's DiabetesPro
  • ADA Member Directory
  • Diabetes.org

© 2021 by the American Diabetes Association. Diabetes Print ISSN: 0012-1797, Online ISSN: 1939-327X.