Título : |
Accuracy of an off-label transmitter and data manager paired with an intermittent scanned continuous glucose monitor in adults with type 1 diabetes |
Tipo de documento : |
documento electrónico |
Autores : |
Carlos Esteban Builes Montaño, Autor |
Fecha de publicación : |
2022 |
Títulos uniformes : |
Journal of Diabetes Science and Technology
|
Idioma : |
Inglés (eng) |
Palabras clave : |
FreeStyle Libre MiaoMiao transmitter continuous glucose monitoring intermittent scanned glucose monitoring xDrip+ software |
Resumen : |
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. |
Mención de responsabilidad : |
María F Villa-Tamayo, Carlos E Builes-Montaño, Alex Ramirez-Rincón, Javier Carvajal Pablo S Rivadeneira |
Referencia : |
J Diabetes Sci Technol. 2022 Oct 25;19322968221133405. |
DOI (Digital Object Identifier) : |
10.1177/19322968221133405 |
PMID : |
36281579 |
En línea : |
https://journals.sagepub.com/doi/10.1177/19322968221133405 |
Enlace permanente : |
https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_dis |