Key indices of glycaemic variability for application in diabetes clinical practice

Monnier, Louis; Bonnet, Fabrice; Colette, Claude; Renard, Eric; Owens, David

doi:10.1016/j.diabet.2023.101488

Journal article 589 views 273 downloads

Key indices of glycaemic variability for application in diabetes clinical practice

Louis Monnier

, Fabrice Bonnet, Claude Colette, Eric Renard, David Owens

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

Swansea University Author: David Owens

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Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy.
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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
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa64843

first_indexed	2023-10-31T16:23:03Z
last_indexed	2025-06-19T10:27:19Z
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spelling	2025-06-18T16:58:26.0400208 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 MEDS 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 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2025-06-18T16:58:26.0400208 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
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department_str	Swansea University Medical School - Biomedical Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Biomedical Science
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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	2023-11-06T05:16:12Z
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Key indices of glycaemic variability for application in diabetes clinical practice

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