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

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...

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Autores principales: Mondal, Shaikat, Mondal, Himel, Biri, Sairavi Kiran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333746/
https://www.ncbi.nlm.nih.gov/pubmed/32699787
http://dx.doi.org/10.4103/ijem.IJEM_580_19
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author Mondal, Shaikat
Mondal, Himel
Biri, Sairavi Kiran
author_facet Mondal, Shaikat
Mondal, Himel
Biri, Sairavi Kiran
author_sort Mondal, Shaikat
collection PubMed
description 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: BeatO™ and GlucoMe™ 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 BeatO™ was 105.78 ± 52.6, and GlucoMe™ was 99.72 ± 51.22. The accuracy was lower than that recommended by ISO 2013 (29.8% and 30.77% error in BeatO™ and GlucoMe™, respectively), ADA (63.46% and 74% error in BeatO™ and GlucoMe™, respectively), and CLIA (42.31% and 46.15% error in BeatO™ and GlucoMe™, respectively) criteria. According to CEGA, BeatO™ and GlucoMe™ 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.
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spelling pubmed-73337462020-07-21 Surveillance Accuracy of Smartphone-Dependent Glucose Meters in the Measurement of Plasma Glucose Mondal, Shaikat Mondal, Himel Biri, Sairavi Kiran Indian J Endocrinol Metab Original Article 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: BeatO™ and GlucoMe™ 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 BeatO™ was 105.78 ± 52.6, and GlucoMe™ was 99.72 ± 51.22. The accuracy was lower than that recommended by ISO 2013 (29.8% and 30.77% error in BeatO™ and GlucoMe™, respectively), ADA (63.46% and 74% error in BeatO™ and GlucoMe™, respectively), and CLIA (42.31% and 46.15% error in BeatO™ and GlucoMe™, respectively) criteria. According to CEGA, BeatO™ and GlucoMe™ 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. Wolters Kluwer - Medknow 2020 2020-04-30 /pmc/articles/PMC7333746/ /pubmed/32699787 http://dx.doi.org/10.4103/ijem.IJEM_580_19 Text en Copyright: © 2020 Indian Journal of Endocrinology and Metabolism http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Mondal, Shaikat
Mondal, Himel
Biri, Sairavi Kiran
Surveillance Accuracy of Smartphone-Dependent Glucose Meters in the Measurement of Plasma Glucose
title Surveillance Accuracy of Smartphone-Dependent Glucose Meters in the Measurement of Plasma Glucose
title_full Surveillance Accuracy of Smartphone-Dependent Glucose Meters in the Measurement of Plasma Glucose
title_fullStr Surveillance Accuracy of Smartphone-Dependent Glucose Meters in the Measurement of Plasma Glucose
title_full_unstemmed Surveillance Accuracy of Smartphone-Dependent Glucose Meters in the Measurement of Plasma Glucose
title_short Surveillance Accuracy of Smartphone-Dependent Glucose Meters in the Measurement of Plasma Glucose
title_sort surveillance accuracy of smartphone-dependent glucose meters in the measurement of plasma glucose
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7333746/
https://www.ncbi.nlm.nih.gov/pubmed/32699787
http://dx.doi.org/10.4103/ijem.IJEM_580_19
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