ArticleJournal of diabetes science and technology2010
Evaluating the clinical accuracy of GlucoMen®Day: a novel microdialysis-based continuous glucose monitor.
Article in Journal of diabetes science and technology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Use of microdialysis-based continuous glucose monitoring to drive real-time semi-closed-loop insulin infusion.Journal of diabetes science and technology · 2014Trial
- Performance evaluation of three continuous glucose monitoring systems: comparison of six sensors per subject in parallel.Journal of diabetes science and technology · 2013Trial
- Performance evaluation of a continuous glucose monitoring system under conditions similar to daily life.Journal of diabetes science and technology · 2013Trial
- Clinical Performance Evaluation of Continuous Glucose Monitoring Systems: A Scoping Review and Recommendations for Reporting.Journal of diabetes science and technology · 2023Article
- Microdialysis techniques and microdialysis-based patient-near diagnostics.Analytical and bioanalytical chemistry · 2022Review
- A prolonged run-in period of standard subcutaneous microdialysis ameliorates quality of interstitial glucose signal in patients after major cardiac surgery.Scientific reports · 2018Article
- Continuous Glucose Monitoring, Future Products, and Update on Worldwide Artificial Pancreas Projects.Diabetes technology & therapeutics · 2016Review
- Interstitium versus Blood Equilibrium in Glucose Concentration and its Impact on Subcutaneous Continuous Glucose Monitoring Systems.European endocrinology · 2014Article
- Accuracy of continuous glucose monitoring during exercise in type 1 diabetes pregnancy.Diabetes technology & therapeutics · 2013Article
- Periodic extraction of interstitial fluid from the site of subcutaneous insulin infusion for the measurement of glucose: a novel single-port technique for the treatment of type 1 diabetes patients.Diabetes technology & therapeutics · 2013Article
- Minimizing the impact of time lag variability on accuracy evaluation of continuous glucose monitoring systems.Journal of diabetes science and technology · 2012Article
- Italian contributions to the development of continuous glucose monitoring sensors for diabetes management.Sensors (Basel, Switzerland) · 2012Review
- GlucoMen Day continuous glucose monitoring system: a screening for enzymatic and electrochemical interferents.Journal of diabetes science and technology · 2012Article
- Continuous glucose monitoring: a review for behavioral researchers.Psychosomatic medicine · 2012Review
- Closed-loop insulin delivery in type 1 diabetes.Endocrinology and metabolism clinics of North America · 2012Review
- Fully integrated biochip platforms for advanced healthcare.Sensors (Basel, Switzerland) · 2012Review
- Intensive insulin therapy in critically ill hospitalized patients: making it safe and effective.Journal of diabetes science and technology · 2011Review
- Analysis of GlucoMen®Day: a novel microdialysis-based continuous glucose monitor.Journal of diabetes science and technology · 2010Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe objective of this work was to determine the clinical accuracy of GlucoMen®Day, a new microdialysis-based continuous glucose monitoring system (CGMS) from A. Menarini Diagnostics (Florence, Italy). Accuracy evaluation was performed using continuous glucose-error grid analysis (CG-EGA), as recommended by the Performance Metrics for Continuous Interstitial Glucose Monitoring; Approved Guideline (POCT05-A).
methodsTwo independent clinical trials were carried out on patients with types 1 and 2 diabetes mellitus, the glycemic levels of whom were monitored in an in-home setting for 100-hour periods. A new multiparametric algorithm was developed and used to compensate in real-time the GlucoMen®Day signal. The time lag between continuous glucose monitoring (CGM) and reference data was first estimated using the Poincaré plot method. The entire set of CGM/reference data pairs was then evaluated following the CG-EGA criteria, which allowed an estimation of the combined point and rate accuracy stratified by glycemic ranges.
resultsWith an estimated time lag of 11 minutes, the linear regression analysis of the CGM/reference glucose values yielded r = 0.92. The mean absolute error (MAE) was 11.4 mg/dl. The calculated mean absolute rate deviation (MARD) was 0.63 mg/dl/min. The data points falling within the A+B zones of CG-EGA were 100% in hypoglycemia, 95.7% in euglycemia, and 95.2% in hyperglycemia.
conclusionsThe GlucoMen®Day system provided reliable, real-time measurement of subcutaneous glucose levels in patients with diabetes for up to 100 hours. The device showed the ability to follow rapid glycemic excursions and detect severe hypoglycemic events accurately. Its accuracy parameters fitted the criteria of the state-of-the-art consensus guideline for CGMS, with highly consistent results from two independent studies.
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