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Performance of three different continuous glucose monitoring systems in children with type 1 diabetes during a diabetes summer camp

The aim of this study was to assess accuracy of the three most commonly used continuous glucose monitoring (CGM) systems in almost real‐life situation during a diabetes camp in children with type 1 diabetes (T1D) aged 9–14 years. Data was gathered during a 2‐week summer camp under physicians' s...

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Autores principales: Nagl, Katrin, Berger, Gabriele, Aberer, Felix, Ziko, Haris, Weimann, Katharina, Bozic, Ina, Rami‐Merhar, Birgit, Mader, Julia K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons A/S 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984061/
https://www.ncbi.nlm.nih.gov/pubmed/33219728
http://dx.doi.org/10.1111/pedi.13160
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author Nagl, Katrin
Berger, Gabriele
Aberer, Felix
Ziko, Haris
Weimann, Katharina
Bozic, Ina
Rami‐Merhar, Birgit
Mader, Julia K
author_facet Nagl, Katrin
Berger, Gabriele
Aberer, Felix
Ziko, Haris
Weimann, Katharina
Bozic, Ina
Rami‐Merhar, Birgit
Mader, Julia K
author_sort Nagl, Katrin
collection PubMed
description The aim of this study was to assess accuracy of the three most commonly used continuous glucose monitoring (CGM) systems in almost real‐life situation during a diabetes camp in children with type 1 diabetes (T1D) aged 9–14 years. Data was gathered during a 2‐week summer camp under physicians' supervision. Out of 38 participating children with T1D (aged: 11.0 [9.9; 12.1] years; 57% girls, mean HbA1c 7.2 [6.9; 7.7] %,) 37 wore a CGM system (either Abbott FreeStyle Libre (FSL), Dexcom G6 (DEX) or Medtronic Enlite (ENL)) throughout the camp. All concomitantly available data pairs of capillary glucose measurements and sensor values were used for the analysis. Mean absolute relative difference (MARD) was calculated and Parkes Error Grid analyses were done for all three systems used. In total 2079 data pairs were available for analysis. The overall MARDs of CGM systems used at the camp was FSL: 13.3% (6.7;21.6). DEX: 10.3% (5.8; 16.7) and ENL 8.5% (3.6; 15.6). During eu‐, hypo‐ and hyperglycemia MARDs were lowest in ENL. Highest MARDs were seen in hypoglycemia, where all three systems exhibited MARDs above 15%. Overnight MARDs of all systems was higher than during daytime. All sensors performed worst in hypoglycemia. Performance of the adequately calibrated Medtronic system outperformed the factory‐calibrated sensors. For clinical practice, it is important to adequately train children with T1D and families in the correct procedures for sensors that require calibrations.
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spelling pubmed-79840612021-03-24 Performance of three different continuous glucose monitoring systems in children with type 1 diabetes during a diabetes summer camp Nagl, Katrin Berger, Gabriele Aberer, Felix Ziko, Haris Weimann, Katharina Bozic, Ina Rami‐Merhar, Birgit Mader, Julia K Pediatr Diabetes Clinical Care and Technology The aim of this study was to assess accuracy of the three most commonly used continuous glucose monitoring (CGM) systems in almost real‐life situation during a diabetes camp in children with type 1 diabetes (T1D) aged 9–14 years. Data was gathered during a 2‐week summer camp under physicians' supervision. Out of 38 participating children with T1D (aged: 11.0 [9.9; 12.1] years; 57% girls, mean HbA1c 7.2 [6.9; 7.7] %,) 37 wore a CGM system (either Abbott FreeStyle Libre (FSL), Dexcom G6 (DEX) or Medtronic Enlite (ENL)) throughout the camp. All concomitantly available data pairs of capillary glucose measurements and sensor values were used for the analysis. Mean absolute relative difference (MARD) was calculated and Parkes Error Grid analyses were done for all three systems used. In total 2079 data pairs were available for analysis. The overall MARDs of CGM systems used at the camp was FSL: 13.3% (6.7;21.6). DEX: 10.3% (5.8; 16.7) and ENL 8.5% (3.6; 15.6). During eu‐, hypo‐ and hyperglycemia MARDs were lowest in ENL. Highest MARDs were seen in hypoglycemia, where all three systems exhibited MARDs above 15%. Overnight MARDs of all systems was higher than during daytime. All sensors performed worst in hypoglycemia. Performance of the adequately calibrated Medtronic system outperformed the factory‐calibrated sensors. For clinical practice, it is important to adequately train children with T1D and families in the correct procedures for sensors that require calibrations. John Wiley & Sons A/S 2020-12-04 2021-03 /pmc/articles/PMC7984061/ /pubmed/33219728 http://dx.doi.org/10.1111/pedi.13160 Text en © 2020 The Authors. Pediatric Diabetes published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Clinical Care and Technology
Nagl, Katrin
Berger, Gabriele
Aberer, Felix
Ziko, Haris
Weimann, Katharina
Bozic, Ina
Rami‐Merhar, Birgit
Mader, Julia K
Performance of three different continuous glucose monitoring systems in children with type 1 diabetes during a diabetes summer camp
title Performance of three different continuous glucose monitoring systems in children with type 1 diabetes during a diabetes summer camp
title_full Performance of three different continuous glucose monitoring systems in children with type 1 diabetes during a diabetes summer camp
title_fullStr Performance of three different continuous glucose monitoring systems in children with type 1 diabetes during a diabetes summer camp
title_full_unstemmed Performance of three different continuous glucose monitoring systems in children with type 1 diabetes during a diabetes summer camp
title_short Performance of three different continuous glucose monitoring systems in children with type 1 diabetes during a diabetes summer camp
title_sort performance of three different continuous glucose monitoring systems in children with type 1 diabetes during a diabetes summer camp
topic Clinical Care and Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984061/
https://www.ncbi.nlm.nih.gov/pubmed/33219728
http://dx.doi.org/10.1111/pedi.13160
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