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Low Initial Adherence with Flash Glucose Monitoring is Not a Predictor of Long-Term Glycemic Outcomes: Longitudinal Analysis of the Association Between Experience, Adherence, and Glucose Control for FreeStyle Libre Users
INTRODUCTION: Frequent scanning of FreeStyle Libre (FSL) flash glucose monitoring sensors is known to be important whilst wearing an active sensor, but adherence to sensor reapplication is also critical to effective glucose monitoring. We report novel measures of adherence for users of the FSL syste...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241748/ https://www.ncbi.nlm.nih.gov/pubmed/37211580 http://dx.doi.org/10.1007/s13300-023-01422-4 |
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author | Šoupal, Jan Kao, Kalvin Brandner, Laura Grunberger, George Prázný, Martin |
author_facet | Šoupal, Jan Kao, Kalvin Brandner, Laura Grunberger, George Prázný, Martin |
author_sort | Šoupal, Jan |
collection | PubMed |
description | INTRODUCTION: Frequent scanning of FreeStyle Libre (FSL) flash glucose monitoring sensors is known to be important whilst wearing an active sensor, but adherence to sensor reapplication is also critical to effective glucose monitoring. We report novel measures of adherence for users of the FSL system and their association with improvements in metrics of glucose control. METHODS: Anonymous data were extracted for 1600 FSL users in the Czech Republic with ≥ 36 completed sensors from October 22, 2018 to December 31, 2021. “Experience” was defined by the number of sensors used (1–36 sensors). “Adherence” was defined by time between the end of one sensor and the start of the next (gap time). User adherence was analyzed for four experience levels after initiating FLASH; Start (sensors 1–3); Early (sensors 4–6); Middle (sensors 19–21); End (sensors 34–36). Users were split into two adherence levels based on mean gap time during Start period, “low” (> 24 h, n = 723) and “high” (≤ 8 h, n = 877). RESULTS: Low-adherence users reduced their sensor gap times significantly: 38.5% applied a new sensor within 24 h during sensors 4–6, rising to 65.0% by sensors 34–36 (p < 0.001). Improved adherence was associated with increased %TIR (time in range; mean + 2.4%; p < 0.001), reduced %TAR (time above range; mean − 3.1%; p < 0.001), and reduced glucose coefficient of variation (CV; mean − 1.7%; p < 0.001). CONCLUSIONS: With experience, FSL users became more adherent in sensor reapplication, with associated increases in %TIR, and reductions in %TAR and glucose variability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13300-023-01422-4. |
format | Online Article Text |
id | pubmed-10241748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-102417482023-06-07 Low Initial Adherence with Flash Glucose Monitoring is Not a Predictor of Long-Term Glycemic Outcomes: Longitudinal Analysis of the Association Between Experience, Adherence, and Glucose Control for FreeStyle Libre Users Šoupal, Jan Kao, Kalvin Brandner, Laura Grunberger, George Prázný, Martin Diabetes Ther Original Research INTRODUCTION: Frequent scanning of FreeStyle Libre (FSL) flash glucose monitoring sensors is known to be important whilst wearing an active sensor, but adherence to sensor reapplication is also critical to effective glucose monitoring. We report novel measures of adherence for users of the FSL system and their association with improvements in metrics of glucose control. METHODS: Anonymous data were extracted for 1600 FSL users in the Czech Republic with ≥ 36 completed sensors from October 22, 2018 to December 31, 2021. “Experience” was defined by the number of sensors used (1–36 sensors). “Adherence” was defined by time between the end of one sensor and the start of the next (gap time). User adherence was analyzed for four experience levels after initiating FLASH; Start (sensors 1–3); Early (sensors 4–6); Middle (sensors 19–21); End (sensors 34–36). Users were split into two adherence levels based on mean gap time during Start period, “low” (> 24 h, n = 723) and “high” (≤ 8 h, n = 877). RESULTS: Low-adherence users reduced their sensor gap times significantly: 38.5% applied a new sensor within 24 h during sensors 4–6, rising to 65.0% by sensors 34–36 (p < 0.001). Improved adherence was associated with increased %TIR (time in range; mean + 2.4%; p < 0.001), reduced %TAR (time above range; mean − 3.1%; p < 0.001), and reduced glucose coefficient of variation (CV; mean − 1.7%; p < 0.001). CONCLUSIONS: With experience, FSL users became more adherent in sensor reapplication, with associated increases in %TIR, and reductions in %TAR and glucose variability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13300-023-01422-4. Springer Healthcare 2023-05-22 2023-07 /pmc/articles/PMC10241748/ /pubmed/37211580 http://dx.doi.org/10.1007/s13300-023-01422-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Šoupal, Jan Kao, Kalvin Brandner, Laura Grunberger, George Prázný, Martin Low Initial Adherence with Flash Glucose Monitoring is Not a Predictor of Long-Term Glycemic Outcomes: Longitudinal Analysis of the Association Between Experience, Adherence, and Glucose Control for FreeStyle Libre Users |
title | Low Initial Adherence with Flash Glucose Monitoring is Not a Predictor of Long-Term Glycemic Outcomes: Longitudinal Analysis of the Association Between Experience, Adherence, and Glucose Control for FreeStyle Libre Users |
title_full | Low Initial Adherence with Flash Glucose Monitoring is Not a Predictor of Long-Term Glycemic Outcomes: Longitudinal Analysis of the Association Between Experience, Adherence, and Glucose Control for FreeStyle Libre Users |
title_fullStr | Low Initial Adherence with Flash Glucose Monitoring is Not a Predictor of Long-Term Glycemic Outcomes: Longitudinal Analysis of the Association Between Experience, Adherence, and Glucose Control for FreeStyle Libre Users |
title_full_unstemmed | Low Initial Adherence with Flash Glucose Monitoring is Not a Predictor of Long-Term Glycemic Outcomes: Longitudinal Analysis of the Association Between Experience, Adherence, and Glucose Control for FreeStyle Libre Users |
title_short | Low Initial Adherence with Flash Glucose Monitoring is Not a Predictor of Long-Term Glycemic Outcomes: Longitudinal Analysis of the Association Between Experience, Adherence, and Glucose Control for FreeStyle Libre Users |
title_sort | low initial adherence with flash glucose monitoring is not a predictor of long-term glycemic outcomes: longitudinal analysis of the association between experience, adherence, and glucose control for freestyle libre users |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241748/ https://www.ncbi.nlm.nih.gov/pubmed/37211580 http://dx.doi.org/10.1007/s13300-023-01422-4 |
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