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Key indices of glycaemic variability for application in diabetes clinical practice

Louis Monnier Orcid Logo, Fabrice Bonnet, Claude Colette, Eric Renard, David Owens Orcid Logo

Diabetes and Metabolism, Volume: 49, Issue: 6, Start page: 101488

Swansea University Author: David Owens Orcid Logo

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DOI (Published version): 10.1016/j.diabet.2023.101488

Abstract

Near normal glycaemic control in diabetes consists to target daily glucose fluctuations and quarterly HbA1c oscillations in addition to overall glucose exposure. Consequently, the prerequisite is to define simple, and mathematically undisputable key metrics for the short- and long-term variability i...

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Published in: Diabetes and Metabolism
ISSN: 1262-3636
Published: Elsevier BV 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa64843
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first_indexed 2023-10-31T16:23:03Z
last_indexed 2023-10-31T16:23:03Z
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spelling v2 64843 2023-10-31 Key indices of glycaemic variability for application in diabetes clinical practice 2fd4b7c3f82c6d3bd546eff61ff944e9 0000-0003-1002-1238 David Owens David Owens true false 2023-10-31 BMS Near normal glycaemic control in diabetes consists to target daily glucose fluctuations and quarterly HbA1c oscillations in addition to overall glucose exposure. Consequently, the prerequisite is to define simple, and mathematically undisputable key metrics for the short- and long-term variability in glucose homeostasis. As the standard deviations (SD) of either glucose or HbA1c are dependent on their means, the coefficient of variation (CV = SD/mean) should be applied instead as it that avoids the correlation between the SD and mean values. A CV glucose of 36% is the most appropriate threshold between those with stable versus labile glucose homeostasis. However, when near normal mean glucose concentrations are achieved a lower CV threshold of <27 % is necessary for reducing the risk for hypoglycaemia to a minimal rate. For the long-term variability in glucose homeostasis, a CVHbA1c < 5 % seems to be a relevant recommendation for preventing adverse clinical outcomes. Journal Article Diabetes and Metabolism 49 6 101488 Elsevier BV 1262-3636 Diabetes, Glycaemic variability, Key metrics 6 11 2023 2023-11-06 10.1016/j.diabet.2023.101488 http://dx.doi.org/10.1016/j.diabet.2023.101488 COLLEGE NANME Biomedical Sciences COLLEGE CODE BMS Swansea University 2023-11-14T14:02:32.9000267 2023-10-31T16:20:19.0917766 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Biomedical Science Louis Monnier 0000-0003-3843-0308 1 Fabrice Bonnet 2 Claude Colette 3 Eric Renard 4 David Owens 0000-0003-1002-1238 5 64843__29013__ee26814a20e944f898894d2b6d621726.pdf 64843.AAM.pdf 2023-11-14T14:00:19.8739410 Output 434347 application/pdf Accepted Manuscript true Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy. true eng https://creativecommons.org/licenses/by/4.0/
title Key indices of glycaemic variability for application in diabetes clinical practice
spellingShingle Key indices of glycaemic variability for application in diabetes clinical practice
David Owens
title_short Key indices of glycaemic variability for application in diabetes clinical practice
title_full Key indices of glycaemic variability for application in diabetes clinical practice
title_fullStr Key indices of glycaemic variability for application in diabetes clinical practice
title_full_unstemmed Key indices of glycaemic variability for application in diabetes clinical practice
title_sort Key indices of glycaemic variability for application in diabetes clinical practice
author_id_str_mv 2fd4b7c3f82c6d3bd546eff61ff944e9
author_id_fullname_str_mv 2fd4b7c3f82c6d3bd546eff61ff944e9_***_David Owens
author David Owens
author2 Louis Monnier
Fabrice Bonnet
Claude Colette
Eric Renard
David Owens
format Journal article
container_title Diabetes and Metabolism
container_volume 49
container_issue 6
container_start_page 101488
publishDate 2023
institution Swansea University
issn 1262-3636
doi_str_mv 10.1016/j.diabet.2023.101488
publisher Elsevier BV
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Biomedical Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Biomedical Science
url http://dx.doi.org/10.1016/j.diabet.2023.101488
document_store_str 1
active_str 0
description Near normal glycaemic control in diabetes consists to target daily glucose fluctuations and quarterly HbA1c oscillations in addition to overall glucose exposure. Consequently, the prerequisite is to define simple, and mathematically undisputable key metrics for the short- and long-term variability in glucose homeostasis. As the standard deviations (SD) of either glucose or HbA1c are dependent on their means, the coefficient of variation (CV = SD/mean) should be applied instead as it that avoids the correlation between the SD and mean values. A CV glucose of 36% is the most appropriate threshold between those with stable versus labile glucose homeostasis. However, when near normal mean glucose concentrations are achieved a lower CV threshold of <27 % is necessary for reducing the risk for hypoglycaemia to a minimal rate. For the long-term variability in glucose homeostasis, a CVHbA1c < 5 % seems to be a relevant recommendation for preventing adverse clinical outcomes.
published_date 2023-11-06T14:02:36Z
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