Imperial College London
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ProfessorDesmondJohnston

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Professor of Clinical Endocrinology
 
 
 
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Contact

 

+44 (0)20 7594 2430d.johnston

 
 
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Assistant

 

Mrs Heather Bones +44 (0)20 7594 2429

 
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Location

 

G2Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{El-Laboudi:2016:10.1089/dia.2016.0146,
author = {El-Laboudi, AH and Godsland, I and Johnston, D and Oliver, N},
doi = {10.1089/dia.2016.0146},
journal = {Diabetes Technology & Therapeutics},
pages = {806--812},
title = {Measures of Glycemic Variability In Type 1 Diabetes and the Effect of Real-Time Continuous Glucose Monitoring},
url = {http://dx.doi.org/10.1089/dia.2016.0146},
volume = {18},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Objective: To report the impact of continuous glucose monitoring (CGM) onglycemic variability (GV) indices, factors predictive of change and to correlatevariability with conventional markers of glycaemia.Methods: Data from the JDRF study of CGM in participants with type 1 diabeteswere used. Participants were randomised to CGM or self-monitored blood glucose(SMBG). GV indices at baseline, at 26 weeks in both groups, and at 52 weeks in thecontrol group were analysed. The associations of demographic and clinical factorswith change in GV indices from baseline to 26 weeks were evaluated.Results: Baseline data were available for 448 subjects. GV indices were all outsidenormative ranges (P<0.001). Inter-correlation between GV indices was common and,apart from coefficient of variation (CV), low blood glucose index (LBGI) andpercentage of glycemic risk assessment diabetes equation score attributable tohypoglycaemia (%GRADEhypoglycaemia), all indices correlate positively with HbA1c.There was strong correlation between time spent in hypoglycaemia, and CV, LBGIand %GRADEhypoglycaemia, but not with HbA1c. A significant reduction in all GVindices, except lability index and mean absolute glucose change per unit time (MAG),was demonstrated in the intervention group at 26 weeks compared with the controlgroup. Baseline factors predicting a change in GV with CGM include baselineHbA1c, baseline GV, frequency of daily SMBG and insulin pump use.Conclusions: CGM reduces most GV indices compared with SMBG in people withtype 1 diabetes. The strong correlation between time spent in hypoglycaemia and CV,LBGI and %GRADEhypoglycaemia highlights the value of these metrics in assessinghypoglycaemia as an adjunct to HbA1c in overall assessment of glycaemia.
AU  - El-Laboudi,AH
AU  - Godsland,I
AU  - Johnston,D
AU  - Oliver,N
DO  - 10.1089/dia.2016.0146
EP  - 812
PY  - 2016///
SN  - 1557-8593
SP  - 806
TI  - Measures of Glycemic Variability In Type 1 Diabetes and the Effect of Real-Time Continuous Glucose Monitoring
T2  - Diabetes Technology & Therapeutics
UR  - http://dx.doi.org/10.1089/dia.2016.0146
UR  - http://hdl.handle.net/10044/1/41095
VL  - 18
ER  -
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