Surveillance Accuracy of Smartphone-Dependent Glucose Meters in the Measurement of Plasma Glucose

Autor: Sairavi Kiran Biri, Himel Mondal, Shaikat Mondal
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Indian Journal of Endocrinology and Metabolism
Indian Journal of Endocrinology and Metabolism, Vol 24, Iss 2, Pp 181-186 (2020)
ISSN: 2230-9500
2230-8210
Popis: Background: Along with stand-alone glucose monitors, smartphone-dependent glucose meters (SDGM) are available for self-monitoring of blood glucose (SMBG). These display-less devices, connected to a smartphone, measure glucose and display report on a smartphone screen, which can be easily shared with doctors. Aim: The aim of this study was to check the accuracy of the available SDGMs in relation to the laboratory reference method. Materials and Methods: Two available SDGMs: BeatOTM and GlucoMeTM were tested. A total of 104 venous blood samples were tested for glucose in SDGMs and by the reference method. The accuracy of the report was checked by the International Standards Organization (ISO), American Diabetes Association (ADA), and Clinical Laboratory Improvement Amendments (CLIA) criteria. Clarke error grid analysis (CEGA) was carried out to find the suitability of SDGM in clinical usage. Results: Mean plasma glucose (n = 104) level from laboratory report was 106.48 ± 44.58 mg/dL, that from BeatOTM was 105.78 ± 52.6, and GlucoMeTM was 99.72 ± 51.22. The accuracy was lower than that recommended by ISO 2013 (29.8% and 30.77% error in BeatOTM and GlucoMeTM, respectively), ADA (63.46% and 74% error in BeatOTM and GlucoMeTM, respectively), and CLIA (42.31% and 46.15% error in BeatOTM and GlucoMeTM, respectively) criteria. According to CEGA, BeatOTM and GlucoMeTM can guide correct treatment in diabetes mellitus patients for 74% and 71% of measurement, respectively. Conclusion: The accuracy of both the SDGMs was lower than that suggested by ISO, ADA, and CLIA criteria. The result of this study would help patients and doctors in informed choice for the procurement of glucose monitors.
Databáze: OpenAIRE
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