Journal article 292 views 81 downloads
Key indices of glycaemic variability for application in diabetes clinical practice
,
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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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...
| Published in: | Diabetes and Metabolism |
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| ISSN: | 1262-3636 |
| Published: |
Elsevier BV
2023
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa64843 |
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| 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 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. |
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| Keywords: |
Diabetes, Glycaemic variability, Key metrics |
| College: |
Faculty of Medicine, Health and Life Sciences |
| Issue: |
6 |
| Start Page: |
101488 |