Accuracy of a 14-Day Factory-Calibrated Continuous Glucose Monitoring System With Advanced Algorithm in Pediatric and Adult Population With Diabetes

First Published September 19, 2020 Research Article Find in PubMed

Authors

, PhD1
 
Abbott Diabetes Care, Alameda, CA, USA

by this author
, , MD2
 
AMCR Institute, Escondido, CA, USA
by this author
, , MD3
 
Rainier Clinical Research Center, Renton, WA, USA
by this author
,
, PhD1
 
Abbott Diabetes Care, Alameda, CA, USA
by this author
, , DO4
 
Sansum Diabetes Research Institute, Santa Barbara, CA, USA
by this author
, , MD5
 
Diablo Clinical Research, Walnut Creek, CA, USA
by this author
, , MD6
 
Barbara Davis Center for Diabetes, University of Colorado Denver, Aurora, CO, USA
by this author
, , MD7
 
DGD Clinic, San Antonio, TX, USA
by this author
, , MD8
 
Rocky Mountain Diabetes Center, Idaho Falls, ID, USA
by this author
, , MA1
 
Abbott Diabetes Care, Alameda, CA, USA
by this author
...
First Published Online: September 19, 2020

In this study, we evaluated the analytical performance of the second-generation factory-calibrated FreeStyle Libre Flash Glucose Monitoring (FreeStyle Libre 2) System compared to plasma venous blood glucose reference, Yellow Springs Instrument 2300 (YSI).

The study enrolled participants aged four and above with type 1 or type 2 diabetes at seven sites in the United States. Adult participants (18+ years) participated in three in-clinic sessions and pediatric participants (4-17 years) participated in up to two in-clinic sessions stratified to provide data for days 1, 2, 3, 7, 8, 9, 12, 13, or 14 of sensor wear. Participants aged 11+ underwent supervised glycemic manipulation during in-clinic sessions to achieve glucose levels across the measurement range of the System. Performance evaluation included accuracy measures such as the proportion of continuous glucose monitoring (CGM) values that were within ±20% or ±20 mg/dL of reference glucose values, and bias measures such as the mean absolute relative difference (MARD) between CGM and reference values.

Data from the 144 adults and 129 pediatric participants were analyzed. Percent of sensor results within ±20%/20 mg/dL of YSI reference were 93.2% and 92.1%, and MARD was 9.2% and 9.7% for the adults and pediatric participants, respectively. The System performed well in the hypoglycemic range, with 94.3% of the results for the adult population and 96.1% of the data for pediatric population being within 15 mg/dL of the YSI reference. The time lag was 2.4 ± 4.6 minutes for adults and 2.1 ± 5.0 minutes for pediatrics.

The System demonstrated improved analytical accuracy performance across the dynamic range during the 14-day sensor wear period as compared to the previous-generation device.

NCT#: NCT03607448 and NCT03820050

1. Abbott . Abbott Receives CE Mark for FreeStyle® Libre, A Revolutionary Glucose Monitoring System for People with Diabetes. Abbott Park, IL: Abbott; 2014.
Google Scholar
2. Bailey, T, Bode, BW, Christiansen, MP, Klaff, LJ, Alva, S. The performance and usability of a factory-calibrated flash glucose monitoring system. Diabetes Technol Ther. 2015;17(11):787-794.
Google Scholar | Crossref | Medline | ISI
3. Fokkert, MJ, van Dijk, PR, Edens, MA, et al. Performance of the FreeStyle Libre Flash glucose monitoring system in patients with type 1 and 2 diabetes mellitus. BMJ Open Diabetes Res Care. 2017;5(1):e000320.
Google Scholar | Crossref | Medline
4. Hoss, U, Budiman, ES, Liu, H, Christiansen, MP. Feasibility of factory calibration for subcutaneous glucose sensors in subjects with diabetes. J Diabetes Sci Technol. 2014;8(1):89-94.
Google Scholar | SAGE Journals
5. Hoss, U, Budiman, ES. Factory-calibrated continuous glucose sensors: the science behind the technology. Diabetes Technol Ther. 2017;19(suppl 2):S44-S50.
Google Scholar | Crossref | Medline
6. Forlenza, GP, Kushner, T, Messer, LH, Wadwa, RP, Sankaranarayanan, S. Factory-calibrated continuous glucose monitoring: how and why it works, and the dangers of reuse beyond approved duration of wear. Diabetes Technol Ther. 2019;21(4):222-229.
Google Scholar | Crossref | Medline
7. Forlenza, GP, Argento, NB, Laffel, LM. Practical considerations on the use of continuous glucose monitoring in pediatrics and older adults and nonadjunctive use. Diabetes Technol Ther. 2017;19(suppl 3):S13-S20.
Google Scholar | Crossref
8. Kudva, YC, Ahmann, AJ, Bergenstal, RM, et al. Approach to using trend arrows in the FreeStyle Libre flash glucose monitoring systems in adults. J Endocr Soc. 2018;2(12):1320-1337.
Google Scholar | Crossref | Medline
9. Bolinder, J, Antuna, R, Geelhoed-Duijvestijin, P, Kroger, J, Weitgasser, R. Novel glucose-sensing technology and hypoglycaemia in type 1 diabetes: a multicenter, non-masked, randomized control trial. Lancet. 2016;388(10057):2254-2263.
Google Scholar | Crossref | Medline | ISI
10. Aleppo, G, Ruedy, KJ, Riddlesworth, TD, et al. REPLACE-BG: a randomized trial comparing continuous glucose monitoring with and without routine blood glucose monitoring in adults with well-controlled type 1 diabetes. Diabetes Care. 2017;40(4):538-545.
Google Scholar | Crossref | Medline | ISI
11. Haak, T, Hanaire, H, Ajjan, R, Hermanns, N, Riveline, JP, Rayman, G. Flash glucose-sensing technology as a replacement for blood glucose monitoring for the management of insulin-treated type 2 diabetes: a multicenter, open-label randomized controlled trial. Diabetes Ther. 2017;8(1):55-73.
Google Scholar | Crossref | Medline
12. Beck, RW, Riddlesworth, TD, Ruedy, K, et al. Continuous glucose monitoring versus usual care in patients with type 2 diabetes receiving multiple daily insulin injections: a randomized trial. Ann Intern Med. 2017;167(6):365-374.
Google Scholar | Crossref | Medline
13. Foster, NC, Miller, KM, Tamborlane, WV, Bergenstal, RM, Beck, RW. Continuous glucose monitoring in patients with type 1 diabetes using insulin injections. Diabetes Care. 2016;39(6):e81-e82.
Google Scholar | Crossref
14. Miller, KM, Foster, NC, Beck, RW, et al. Current state of type 1 diabetes treatment in the U.S.: updated data from the T1D exchange clinic registry. Diabetes Care. 2015;38(6):971-978.
Google Scholar | Crossref | Medline | ISI
15. Miller, KM, Hermann, J, Foster, N, et al. Longitudinal changes in continuous glucose monitoring use among individuals with type 1 diabetes: international comparison in the German and Austrian DPV and U.S. T1D exchange registries. Diabetes Care.2020 43(1): e1-e2.
Google Scholar | Crossref
16. Carlson, AL, Mullen, DM, Bergenstal, RM. Clinical use of continuous glucose monitoring in adults with type 2 diabetes. Diabetes Technol Ther. 2017;19(suppl 2):S4-S11.
Google Scholar | Crossref | Medline
17. Park, C, Le, QA. The effectiveness of continuous glucose monitoring in patients with type 2 diabetes: a systematic review of literature and meta-analysis. Diabetes Technol Ther. 2018;20(9):613-621.
Google Scholar | Crossref | Medline
18. Abbott . Abbotts’S FreeStyle® Libre 2, with Optional Real-Time Alarms Secures CE Mark for Use in Europe. Abbott Park, IL: Abbott; 2018.
Google Scholar
19. Parkes, JL, Slatin, SL, Pardo, S, Ginsberg, BH. A new consensus error grid to evaluate the clinical significance of inaccuracies in the measurement of blood glucose. Diabetes Care. 2000;23:1143-1148.
Google Scholar | Crossref | Medline | ISI
20. Abbott . New Real-World Data Show that Abbott’s FreeStyle Libre System Delivers Positive Health Outcomes for People with Type 1 and Type 2 Diabetes. Abbott Park, IL: Abbott; 2020.
Google Scholar
21. Shah, VN, Laffel, LM, Wadwa, RP, Garg, SK. Performance of a factory-calibrated real-time continuous glucose monitoring system utilizing an automated sensor applicator. Diabetes Technol Ther. 2018;20(6):428-433.
Google Scholar | Crossref | Medline
22. Wadwa, RP, Laffel, LM, Shah, VN, Garg, SK. Accuracy of a factory-calibrated, real-time continuous glucose monitoring system during 10 days of use in youth and adults with diabetes. Diabetes Technol Ther. 2018;20(6):395-402.
Google Scholar | Crossref | Medline
23. Jangam, S, Lang, J, Dunn, T, Xu, Y, Hayter, G. 298OR: Sustained improvement in glycemia following flash glucose monitoring: an expanded worldwide analysis. Diabetes. 2019;68(suppl 1): 298OR. https://doi.org/10.2337/db19-298-OR
Google Scholar
24. Shivers, JP, Mackowiak, L, Anhalt, H. “Turn it off!”: diabetes device alarm fatigue considerations for the present and the future. J Diabetes Sci Technol. 2013;7:789-794.
Google Scholar | SAGE Journals

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