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J Diabetes Sci Technol · Jul 2015
Comparative StudyThe Development of a Continuous Intravascular Glucose Monitoring Sensor.
- Barry C Crane, Nicholas P Barwell, Palepu Gopal, Mannam Gopichand, Timothy Higgs, Tony D James, Christopher M Jones, Alasdair Mackenzie, Krishna Prasad Mulavisala, and William Paterson.
- GlySure Ltd, Abingdon, Oxon, UK bcrane@glysure.com.
- J Diabetes Sci Technol. 2015 Jul 1; 9 (4): 751-61.
BackgroundGlycemic control in hospital intensive care units (ICU) has been the subject of numerous research publications and debate over the past 2 decades. There have been multiple studies showing the benefit of ICU glucose control in reducing both morbidity and mortality. GlySure Ltd has developed a glucose monitor based on a diboronic acid receptor that can continuously measure plasma glucose concentrations directly in a patient's vascular system. The goal of this study was to validate the performance of the GlySure CIGM system in different patient populations.MethodsThe GlySure Continuous Intravascular Glucose Monitoring (CIGM) System was evaluated in both the Cardiac ICU (33 patients) and MICU setting (14 patients). The sensor was placed through a custom CVC and measured the patients' blood glucose concentration every 15 seconds. Comparison blood samples were taken at 2 hourly then 4 hourly intervals and measured on a YSI 2300 STAT Plus or an i-STAT.ResultsConsensus error grid analysis of the data shows that the majority of the data (88.2% Cardiac, and 95.0% MICU) fell within zone A, which is considered to be clinically accurate and all data points fell within zones A and B. The MARD of the Cardiac trial was 9.90% and the MICU trial had a MARD of 7.95%. Data analysis showed no significant differences between data generated from Cardiac and MICU patients or by time or glucose concentration.ConclusionsThe GlySure CIGM System has met the design challenges of measuring intravascular glucose concentrations in critically ill patients with acceptable safety and performance criteria and without disrupting current clinical practice. The accuracy of the data is not affected by the patients' condition.© 2015 Diabetes Technology Society.
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