Literature DB >> 32935887

Long-term glycemic control and glucose variability assessed with continuous glucose monitoring in a pediatric population with type 1 diabetes: Determination of optimal sampling duration.

Claudia Piona1, Marco Marigliano1, Enza Mozzillo2, Adriana Franzese2, Angela Zanfardino3, Dario Iafusco3, Giulio Maltoni4, Stefano Zucchini4, Maurizio Delvecchio5, Claudio Maffeis1.   

Abstract

BACKGROUND: No studies have assessed if 2-week of continuous glucose monitoring (CGM) data provide good estimation of long-term glycemic control and glucose variability (GV) in pediatric patients with type 1 diabetes (T1D) as in adults.
METHODS: Six hundred fifty-four T1D pediatric patients were enrolled and 12-weeks of CGM data, before HbA1c measurement, were collected. Metrics of glycemic control and GV in incremental sampling periods were calculated. The agreement between metrics calculated in the sampling periods and the full 12-week period was assessed with correlation analysis (R2 ), median relative absolute difference (RAD) or absolute difference in the entire study populations and subjects stratified by age, pubertal status, insulin therapy (MDI,CSII), type of CGM (intermittently scanned [isCGM], real-time [rtCGM]), and HbA1c level.
RESULTS: Correlations with metrics of the full 12-week period improved by extending the sampling periods. R2 values close to 0.90 using 4-week period were significantly higher than 2-week period, particularly for coefficient of variation, mean glucose SD, percentage of time below the range <70 mg/dL. A significant difference was found comparing the median RAD of 2- and 4-week, especially for mean glucose and coefficient of variation. Similar results were obtained analyzing subjects according to age and pubertal status, whereas in patients with HbA1c ≤7%, using rtCGM and CSII significant correlations were found for 2-week period.
CONCLUSIONS: In T1D pediatric subjects, 4-week CGM data better reflects long-term glycemic control and GV in MDI and isCGM users. The 2-week period may be acceptably accurate in CSII and rtCGM users, especially in those with good glycometabolic control.
© 2020 John Wiley & Sons A/S . Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  children and adolescents; continuous glucose monitoring; data sampling; long-term glycemic control and glucose variability; type 1 diabetes

Year:  2020        PMID: 32935887     DOI: 10.1111/pedi.13115

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  4 in total

Review 1.  An Overview of Hypoglycemia in Children Including a Comprehensive Practical Diagnostic Flowchart for Clinical Use.

Authors:  Alberto Casertano; Alessandro Rossi; Simona Fecarotta; Francesco Maria Rosanio; Cristina Moracas; Francesca Di Candia; Giancarlo Parenti; Adriana Franzese; Enza Mozzillo
Journal:  Front Endocrinol (Lausanne)       Date:  2021-08-02       Impact factor: 5.555

2.  Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies.

Authors:  Mary Katherine Ray; Alana McMichael; Maria Rivera-Santana; Jacob Noel; Tamara Hershey
Journal:  JMIR Diabetes       Date:  2021-06-03

3.  Emotional and Physical Health Impact in Children and Adolescents and Their Caregivers Using Open-source Automated Insulin Delivery: Qualitative Analysis of Lived Experiences.

Authors:  Katarina Braune; Niklas Krug; Christine Knoll; Hanne Ballhausen; Axel Thieffry; Yanbing Chen; Shane O'Donnell; Klemens Raile; Bryan Cleal
Journal:  J Med Internet Res       Date:  2022-07-14       Impact factor: 7.076

4.  Beyond A1C: A Practical Approach to Interpreting and Optimizing Continuous Glucose Data in Youth.

Authors:  Iman Al-Gadi; Sruthi Menon; Sarah K Lyons; Daniel J DeSalvo
Journal:  Diabetes Spectr       Date:  2021-05-25
  4 in total

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