title: Clinical assessment and mathematical modeling of the accuracy of continuous glucose sensors (CGS).
abstract: In the treatment of diabetes, CGS calibration, time lag, and random errors influence the clinical glucose control decisions based on CGS output. These inaccuracies are determined by three main factors: quality of calibration, physiology, and sensor engineering. Simulated re-calibration and a diffusion model of blood-to-interstitial glucose transport allow the separation of these sources of inaccuracy. The methods are illustrated by data for 39 subjects with Type 1 diabetes collected during hyperinsulinemic euglycemic/hypoglycemic clamp by Minimed CGMS (Medtronic, Northridge, CA). The continuous glucose error-grid analysis (CG-EGA) was used to evaluate sensor inaccuracy from a clinical point of view.
authors.affiliation: University of Virginia School of Medicine, Charlottesville, Virginia, USA.
authors.forename: Boris P
authors.initials: BP
authors.lastname: Kovatchev
authors.forename: Christopher
authors.initials: C
authors.lastname: King
authors.forename: Marc
authors.initials: M
authors.lastname: Breton
authors.forename: Stacey
authors.initials: S
authors.lastname: Anderson
authors.forename: William
authors.initials: W
authors.lastname: Clarke
mesh_terms: D001786:Blood Glucose / Q000032:analysis*; D015190:Blood Glucose Self-Monitoring / Q000295:instrumentation* / Q000379:methods; D003198:Computer Simulation; D003922:Diabetes Mellitus, Type 1 / Q000097:blood* / Q000175:diagnosis*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D008954:Models, Biological; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D001786:Blood Glucose