Literature DB >> 33855885

A Modified CGM Algorithm Enhances Data Availability While Retaining iCGM Performance.

Rebecca A Harvey Towers1, Xiaohe Zhang1, Rasoul Yousefi1, Ghazaleh Esmaili1, Liang Wang1, Arturo Garcia1, Stayce E Beck1.   

Abstract

The algorithm for the Dexcom G6 CGM System was enhanced to retain accuracy while reducing the frequency and duration of sensor error. The new algorithm was evaluated by post-processing raw signals collected from G6 pivotal trials (NCT02880267) and by assessing the difference in data availability after a limited, real-world launch. Accuracy was comparable with the new algorithm-the overall %20/20 was 91.7% before and 91.8% after the algorithm modification; MARD was unchanged. The mean data gap due to sensor error nearly halved and total time spent in sensor error decreased by 59%. A limited field launch showed similar results, with a 43% decrease in total time spent in sensor error. Increased data availability may improve patient experience and CGM data integration into insulin delivery systems.

Entities:  

Keywords:  accuracy; algorithm; continuous glucose monitoring; data availability; performance

Mesh：

Substances：

Year:  2021        PMID： 33855885      PMCID： PMC9445335          DOI： 10.1177/19322968211007521

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN： 1932-2968


  7 in total

1.  Six-Month Randomized, Multicenter Trial of Closed-Loop Control in Type 1 Diabetes.

Authors:  Sue A Brown; Boris P Kovatchev; Dan Raghinaru; John W Lum; Bruce A Buckingham; Yogish C Kudva; Lori M Laffel; Carol J Levy; Jordan E Pinsker; R Paul Wadwa; Eyal Dassau; Francis J Doyle; Stacey M Anderson; Mei Mei Church; Vikash Dadlani; Laya Ekhlaspour; Gregory P Forlenza; Elvira Isganaitis; David W Lam; Craig Kollman; Roy W Beck
Journal:  N Engl J Med       Date:  2019-10-16       Impact factor: 91.245

2.  A New Era in Continuous Glucose Monitoring: Food and Drug Administration Creates a New Category of Factory-Calibrated Nonadjunctive, Interoperable Class II Medical Devices.

Authors:  Satish K Garg; H Kaan Akturk
Journal:  Diabetes Technol Ther       Date:  2018-06-14       Impact factor: 6.118

3.  Uninterrupted continuous glucose monitoring access is associated with a decrease in HbA1c in youth with type 1 diabetes and public insurance.

Authors:  Ananta Addala; David M Maahs; David Scheinker; Solana Chertow; Brianna Leverenz; Priya Prahalad
Journal:  Pediatr Diabetes       Date:  2020-08-10       Impact factor: 4.866

4.  Performance of a Factory-Calibrated Real-Time Continuous Glucose Monitoring System Utilizing an Automated Sensor Applicator.

Authors:  Viral N Shah; Lori M Laffel; R Paul Wadwa; Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2018-06       Impact factor: 6.118

5.  Sustained Continuous Glucose Monitor Use in Low-Income Youth with Type 1 Diabetes Following Insurance Coverage Supports Expansion of Continuous Glucose Monitor Coverage for All.

Authors:  Priya Prahalad; Ananta Addala; Bruce A Buckingham; Darrell M Wilson; David M Maahs
Journal:  Diabetes Technol Ther       Date:  2018-07-18       Impact factor: 6.118

6.  Continuous Glucose Monitoring vs Conventional Therapy for Glycemic Control in Adults With Type 1 Diabetes Treated With Multiple Daily Insulin Injections: The GOLD Randomized Clinical Trial.

Authors:  Marcus Lind; William Polonsky; Irl B Hirsch; Tim Heise; Jan Bolinder; Sofia Dahlqvist; Erik Schwarz; Arndís Finna Ólafsdóttir; Anders Frid; Hans Wedel; Elsa Ahlén; Thomas Nyström; Jarl Hellman
Journal:  JAMA       Date:  2017-01-24       Impact factor: 56.272

7.  Accuracy of a Factory-Calibrated, Real-Time Continuous Glucose Monitoring System During 10 Days of Use in Youth and Adults with Diabetes.

Authors:  R Paul Wadwa; Lori M Laffel; Viral N Shah; Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2018-06-14       Impact factor: 6.118
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.