Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis

Abstract Continuous glucose monitoring systems (CGM) are a very useful tool to understand the behaviour of glucose in different situations and populations. Despite the widespread use of CGM systems in both clinical practice and research, our understanding of the reproducibility of CGM data remains l...

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Main Authors: Marcos Matabuena, Marcos Pazos-Couselo, Manuela Alonso-Sampedro, Carmen Fernández-Merino, Arturo González-Quintela, Francisco Gude
Format: Article
Language:English
Published: Nature Portfolio 2023-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-40949-1
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author Marcos Matabuena
Marcos Pazos-Couselo
Manuela Alonso-Sampedro
Carmen Fernández-Merino
Arturo González-Quintela
Francisco Gude
author_facet Marcos Matabuena
Marcos Pazos-Couselo
Manuela Alonso-Sampedro
Carmen Fernández-Merino
Arturo González-Quintela
Francisco Gude
author_sort Marcos Matabuena
collection DOAJ
description Abstract Continuous glucose monitoring systems (CGM) are a very useful tool to understand the behaviour of glucose in different situations and populations. Despite the widespread use of CGM systems in both clinical practice and research, our understanding of the reproducibility of CGM data remains limited. The present work examines the reproducibility of the results provided by a CGM system in a random sample of a free-living adult population, from a functional data analysis approach. Functional intraclass correlation coefficients (ICCs) and their 95% confidence intervals (CI) were calculated to assess the reproducibility of CGM results in 581 individuals. 62% were females 581 participants (62% women) mean age 48 years (range 18–87) were included, 12% had previously been diagnosed with diabetes. The inter-day reproducibility of the CGM results was greater for subjects with diabetes (ICC 0.46 [CI 0.39–0.55]) than for normoglycaemic subjects (ICC 0.30 [CI 0.27–0.33]); the value for prediabetic subjects was intermediate (ICC 0.37 [CI 0.31–0.42]). For normoglycaemic subjects, inter-day reproducibility was poorer among the younger (ICC 0.26 [CI 0.21–0.30]) than the older subjects (ICC 0.39 [CI 0.32–0.45]). Inter-day reproducibility was poorest among normoglycaemic subjects, especially younger normoglycaemic subjects, suggesting the need to monitor some patient groups more often than others.
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spelling doaj.art-0eacdb27c6934b918df447421cd427a52023-11-19T13:03:19ZengNature PortfolioScientific Reports2045-23222023-08-011311910.1038/s41598-023-40949-1Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysisMarcos Matabuena0Marcos Pazos-Couselo1Manuela Alonso-Sampedro2Carmen Fernández-Merino3Arturo González-Quintela4Francisco Gude5 Research Methods Group (RESMET), Health Research Institute of Santiago de Compostela (IDIS) Research Methods Group (RESMET), Health Research Institute of Santiago de Compostela (IDIS) Research Methods Group (RESMET), Health Research Institute of Santiago de Compostela (IDIS) Research Methods Group (RESMET), Health Research Institute of Santiago de Compostela (IDIS) Research Methods Group (RESMET), Health Research Institute of Santiago de Compostela (IDIS) Research Methods Group (RESMET), Health Research Institute of Santiago de Compostela (IDIS)Abstract Continuous glucose monitoring systems (CGM) are a very useful tool to understand the behaviour of glucose in different situations and populations. Despite the widespread use of CGM systems in both clinical practice and research, our understanding of the reproducibility of CGM data remains limited. The present work examines the reproducibility of the results provided by a CGM system in a random sample of a free-living adult population, from a functional data analysis approach. Functional intraclass correlation coefficients (ICCs) and their 95% confidence intervals (CI) were calculated to assess the reproducibility of CGM results in 581 individuals. 62% were females 581 participants (62% women) mean age 48 years (range 18–87) were included, 12% had previously been diagnosed with diabetes. The inter-day reproducibility of the CGM results was greater for subjects with diabetes (ICC 0.46 [CI 0.39–0.55]) than for normoglycaemic subjects (ICC 0.30 [CI 0.27–0.33]); the value for prediabetic subjects was intermediate (ICC 0.37 [CI 0.31–0.42]). For normoglycaemic subjects, inter-day reproducibility was poorer among the younger (ICC 0.26 [CI 0.21–0.30]) than the older subjects (ICC 0.39 [CI 0.32–0.45]). Inter-day reproducibility was poorest among normoglycaemic subjects, especially younger normoglycaemic subjects, suggesting the need to monitor some patient groups more often than others.https://doi.org/10.1038/s41598-023-40949-1
spellingShingle Marcos Matabuena
Marcos Pazos-Couselo
Manuela Alonso-Sampedro
Carmen Fernández-Merino
Arturo González-Quintela
Francisco Gude
Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis
Scientific Reports
title Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis
title_full Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis
title_fullStr Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis
title_full_unstemmed Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis
title_short Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis
title_sort reproducibility of continuous glucose monitoring results under real life conditions in an adult population a functional data analysis
url https://doi.org/10.1038/s41598-023-40949-1
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