Accuracy of an Off-Label Transmitter and Data Manager Paired With an Intermittent Scanned Continuous Glucose Monitor in Adults With Type 1 Diabetes

  • María F. Villa-Tamayo
  • , Carlos E. Builes-Montaño
  • , Alex Ramirez-Rincón
  • , Javier Carvajal
  • , Pablo S. Rivadeneira

    Research output: Contribution to scientific journalArticle in an indexed scientific journalpeer-review

    3 Scopus citations

    Abstract

    Background: This work evaluates the accuracy and agreement between the FreeStyle Libre sensor (FSL) and an off-label converted real-time continuous glucose monitor (c-rtCGM) device consisting of the MiaoMiao transmitter and the xDrip+ application which can be coupled to the FSL. Methods: Four weeks of glucose data were collected from 21 participants with type 1 diabetes using the c-rtCGM and FSL: two weeks with a single initial calibration (uncalibrated) and two weeks with a daily calibration (calibrated). Accuracy and agreement evaluation included mean absolute relative difference (MARD), the %20/20 rule, Bland-Altman plots, and the Consensus Error Grid analysis. Results: Values reported by the c-rtCGM system compared with the FSL resulted in an overall MARD of 12.06% and 84.71% of the results falling within Consensus Error Grid Zone A when the device is calibrated. For uncalibrated devices, an overall MARD of 17.49% was obtained. Decreased accuracy was shown in the hypoglycemic range and for rates of change greater than 2 mg/dL/min. The between-device bias also incremented with increasing glucose values. Conclusion: Measurements recorded by the c-rtCGM were found to be accurate when compared with FSL data only when performing daily c-rtCGM device calibrations. High drops in accuracy and agreement between devices occurred when the c-rtCGM was not calibrated.

    Original languageEnglish
    JournalJournal of diabetes science and technology
    DOIs
    StateAccepted/In press - 2022

    Bibliographical note

    Publisher Copyright:
    © 2022 Diabetes Technology Society.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • FreeStyle Libre
    • MiaoMiao transmitter
    • continuous glucose monitoring
    • intermittent scanned glucose monitoring
    • xDrip+ software

    Types Minciencias

    • Artículos de investigación con calidad A1 / Q1

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