Performance of a Factory-Calibrated Real-Time Continuous Glucose Monitoring System Utilizing an Automated Sensor Applicator
Overview
Pharmacology
Affiliations
Background: This study assessed the accuracy of a factory-calibrated 10-day real-time continuous glucose monitoring (CGM) system (G6), which includes an automated sensor applicator.
Methods: Seventy-six participants with insulin-treated diabetes were enrolled at four U.S. sites as part of a larger study of G6 system performance. In-clinic visits for frequent comparative blood glucose measurements using a reference instrument (YSI) were conducted on days 1, 4-5, 7, and/or 10 of system use. Accuracy evaluation included the proportion of CGM values that were within ±20% of YSI reference value for glucose levels >100 mg/dL and ±20 mg/dL for YSI glucose levels ≤100 mg/dL (%20/20), the analogous %15/15 and %30/30, and the mean absolute relative difference (MARD) between temporally matched CGM and YSI values. Participants calibrated the systems once daily. Raw sensor data were reprocessed using assigned sensor codes and a factory-calibration algorithm.
Results: Reprocessed data from 62 participants (25 adults and 37 children and adolescents of ages 6-17 years; 3532 YSI-CGM pairs) were analyzed. The G6 system's overall %20/20 was 93.9% (adults, 92.5%; children and adolescents, 96.2%), its %15/15 was 83.3% (adults, 78.3%; children and adolescents, 91.1%), and its MARD was 9.0% (adults, 9.8%; children and adolescents, 7.7%). Overall day-1 %20/20 accuracy was 92.2%, %15/15 was 81.5%, and MARD was 9.3%. Accuracy was maintained across 10 days of use and various glucose concentration ranges in both adults and children and adolescents.
Conclusions: The G6 system utilizing an automated sensor applicator provides accurate glucose readings in adults and children and adolescents throughout the 10-day sensor life.
Ge M, Lebby S, Chowkwale S, Harrison C, Palmer G, Loud K Curr Dev Nutr. 2025; 9(2):104547.
PMID: 39996052 PMC: 11847740. DOI: 10.1016/j.cdnut.2025.104547.
Tauschman M, Cardona-Hernandez R, DeSalvo D, Hood K, Laptev D, Lindholm Olinder A Horm Res Paediatr. 2025; 97(6):615-635.
PMID: 39884260 PMC: 11854985. DOI: 10.1159/000543156.
Simunovic M, Kumric M, Rusic D, Paradzik Simunovic M, Bozic J Diagnostics (Basel). 2025; 14(24.
PMID: 39767162 PMC: 11674695. DOI: 10.3390/diagnostics14242801.
Davila-Ruales V, Gilon L, Gomez A, Munoz O, Serrano M, Henao D Ther Adv Endocrinol Metab. 2024; 15:20420188241304459.
PMID: 39669532 PMC: 11635893. DOI: 10.1177/20420188241304459.
Predicting risk for nocturnal hypoglycemia after physical activity in children with type 1 diabetes.
Leutheuser H, Bartholet M, Marx A, Pfister M, Burckhardt M, Bachmann S Front Med (Lausanne). 2024; 11:1439218.
PMID: 39526244 PMC: 11543467. DOI: 10.3389/fmed.2024.1439218.