» Articles » PMID: 28205324

Evaluation of Subcutaneous Glucose Monitoring Systems Under Routine Environmental Conditions in Patients with Type 1 Diabetes

Overview
Specialty Endocrinology
Date 2017 Feb 17
PMID 28205324
Citations 61
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Performance of real-time continuous glucose monitoring during track and field training in adolescents with type 1 diabetes.

Zimmer R, Aberer F, Schierbauer J, Zimmermann P, Birnbaumer P, Fritsch M Pediatr Endocrinol Diabetes Metab. 2025; 30(4):211-220.

PMID: 39963058 PMC: 11809549. DOI: 10.5114/pedm.2024.146685.


Effects of a Carbohydrate Meal on Lipolysis.

Kempf K, Martin S Nutrients. 2024; 16(20).

PMID: 39458525 PMC: 11510632. DOI: 10.3390/nu16203531.


Threshold of hyperglycaemia associated with mortality in critically ill patients: a multicentre, prospective, observational study using continuous glucose monitoring.

Wang Y, Li S, Lu J, Feng K, Huang X, Hu F Diabetologia. 2024; 67(7):1295-1303.

PMID: 38568252 PMC: 11153265. DOI: 10.1007/s00125-024-06136-1.


The Impact of Diabetes Education on Continuous Glucose Monitoring in SUS-Dependent Patients in a Northeastern Brazilian City.

Borges L, Jesus P, Souza J, Silva D, Moura P, Santos R Life (Basel). 2024; 14(3).

PMID: 38541647 PMC: 10971600. DOI: 10.3390/life14030320.


Factory-Calibrated Continuous Glucose Monitoring Systems in Type 1 Diabetes: Accuracy during In-Clinic Exercise and Home Use.

Lundemose S, Laugesen C, Ranjan A, Norgaard K Sensors (Basel). 2023; 23(22).

PMID: 38005642 PMC: 10675113. DOI: 10.3390/s23229256.