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Choice of Continuous Glucose Monitoring Systems May Affect Metrics: Clinically Relevant Differences in Times in Ranges

Guido Freckmann, Stefan Pleus, Sebastian Schauer, Manuela Link, Nina Jendrike, Delia Waldenmaier, Cornelia Haug, Andreas Stuhr

2021Experimental and Clinical Endocrinology & Diabetes32 citationsDOI

Abstract

BACKGROUND: Continuous glucose monitoring-derived parameters are becoming increasingly important in the treatment of people with diabetes. The aim of this study was to assess whether these parameters, as calculated from different continuous glucose monitoring systems worn in parallel, are comparable. In addition, clinical relevance of differences was investigated. METHODS: A total of 24 subjects wore a FreeStyle Libre (A) and a Dexcom G5 (B) sensor in parallel for 7 days. Mean glucose, coefficient of variation, glucose management indicator and time spent in different glucose ranges were calculated for each system. Pairwise differences between the two different continuous glucose monitoring systems were computed for these metrics. RESULTS: On average, the two CGM systems indicated an identical time in range (67.9±10.2 vs. 67.9±11.5%) and a similar coefficient of variation; both categorized as unstable (38.1±5.9 vs. 36.0±4.8%). In contrast, the mean time spent below and above range, as well as the individual times spent below, in and above range differed substantially. System A indicated about twice the time spent below range than system B (7.7±7.2 vs. 3.8±2.7%, p=0.003). This could have led to different therapy recommendations in approximately half of the subjects. DISCUSSION: The differences in metrics found between the two continuous glucose monitoring systems may result in different therapy recommendations. In order to make adequate clinical decisions, measurement performance of CGM systems should be standardized and all available information, including the HbA1c, should be utilized.

Topics & Concepts

Continuous glucose monitoringPairwise comparisonMedicineCoefficient of variationContinuous monitoringTarget rangeStatisticsRange (aeronautics)Blood Glucose Self-MonitoringDiabetes mellitusMathematicsAnimal scienceType 1 diabetesComputer scienceEndocrinologyOperations managementBiologyEconomicsArtificial intelligenceComposite materialMaterials scienceDiabetes Management and ResearchHyperglycemia and glycemic control in critically ill and hospitalized patientsSpectroscopy Techniques in Biomedical and Chemical Research
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