Volume 52, Number 8, 1496-1503, DOI: 10.1007/s00125-009-1408-6

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European Association for the Study of Diabetes

Reducing glycaemic variability in type 1 diabetes self-management with a continuous glucose monitoring system based on wired enzyme technology

T. Danne, H. W. de Valk, T. Kracht, K. Walte, R. Geldmacher, L. Sölter, W. von dem Berge, Z. K. Welsh, J. R. Bugler and K. Lange, et al.

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Abstract

Aims/hypothesis  

This study was designed to investigate the use and impact of a continuous glucose monitoring system (the FreeStyle Navigator) under home-use conditions in the self-management of type 1 diabetes.

Methods  

A 20 day masked phase, when real-time data and alarms were not available, was compared with a subsequent 40 day unmasked phase for a number of specified measures of glycaemic variability. HbA1c (measured by DCA 2000) and a hypoglycaemia fear survey were recorded at the start and end of the study.

Results  

The study included 48 patients with type 1 diabetes (mean age 35.7 ± 10.9, range 18–61 years; diabetes duration 17.0 ± 9.5 years). Two patients did not complete the study for personal reasons. Comparing masked (all 20 days) and unmasked (last 20 days) phases, the following reductions were seen: time outside euglycaemia from 11.0 to 9.5 h/day (p = 0.002); glucose SD from 3.5 to 3.2 mmol/l (p < 0.001); hyperglycaemic time (>10.0 mmol/l) from 10.3 to 8.9 h/day (p = 0.0035); mean amplitude of glycaemic excursions (peak to nadir) down by 10% (p < 0.001); high blood glucose index down by 18% (p = 0.0014); and glycaemic risk assessment diabetes equation score down by 12% (p = 0.0013). Hypoglycaemic time (<3.9 mmol/l) decreased from 0.70 to 0.64 h/day without statistical significance (p > 0.05). Mean HbA1c fell from 7.6 ± 1.1% at baseline to 7.1 ± 1.1% (p < 0.001). In the hypoglycaemia fear survey, the patients tended to take less snacks at night-time after wearing the sensor.

Conclusions/interpretation  

Home use of a continuous glucose monitoring system has a positive effect on the self-management of diabetes. Thus, continuous glucose monitoring may be a useful tool to decrease glycaemic variability.

Keywords  Continuous glucose monitoring - Glycaemic variability - GRADE score - High blood glucose index - Hypoglycaemia fear - Lability index - Low blood glucose index - Mean amplitude of glycaemic excursions - Self-management - Type 1 diabetes

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