Evaluation of subcutaneous glucose monitoring systems under routine environmental conditions in patients with type 1 diabetes. Issue 7 (16th March 2017)

• Record Type: Journal Article
• Authors: Aberer, Felix; Hajnsek, Martin; Rumpler, Markus; Zenz, Sabine; Baumann, Petra M.; Elsayed, Hesham; Puffing, Adelheid; Treiber, Gerlies; Pieber, Thomas R.; Sourij, Harald; Mader, Julia K.
• Is Part Of: Diabetes, obesity & metabolism. Volume 19:Issue 7(2017)
• Page Start: 1051
• Page End: 1055
• Publication Date: 2017-03-16
• Subjects: continuous glucose monitoring (CGM) -- glycaemic control -- type 1 diabetes; Diabetes -- Periodicals; Obesity -- Periodicals; Metabolism -- Disorders -- Periodicals; Clinical pharmacology -- Periodicals; 616.462
• DOI: 10.1111/dom.12907
• Languages: English
• ISSNs: 1462-8902

Abstract

Abstract : Continuous and flash glucose monitoring (GM) systems have been established in diabetes care. We compared the sensor performance of 3 commercially available GM systems. A total of 12 patients with type 1 diabetes were included in a single‐centre, open‐label study in which the sensor performance of the Abbott FreeStyle libre (Abbott), Dexcom G4 Platinum (Dexcom) and Medtronic MiniMed 640G (Medtronic) systems over 12 hours was compared during mimicked real‐life conditions (meals, exercise, hypo‐ and hyperglycaemia). Sensor performance was determined by fulfilment of ISO 15197:2013 criteria, calculating mean absolute relative difference (MARD), and was also illustrated using Parkes error grid and Bland–Altman plots. Sensor performance during changes in metabolic variables (lactate, betahydroxybutyrate, glucagon, non‐esterified‐fatty‐acids) was determined by Spearman's rank correlation coefficient testing. The systems fulfilled ISO 15197:2013 criteria by 73.2% (Abbott), 56.1% (Dexcom) and 52.0% (Medtronic). The MARDs ± standard deviation in the entire glycaemic range were 13.2% ± 10.9% (Abbott), 16.8% ± 12.3% (Dexcom) and 21.4% ± 17.6% (Medtronic), respectively. All sensors performed less accurately during hypoglycaemia and best during hyperglycaemia. We did not observe an influence of metabolic variables on sensor performance.