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Updated Software for Automated Assessment of Glucose Variability and Quality of Glycemic Control in Diabetes.
Moscardó, Vanessa; Giménez, Marga; Oliver, Nick; Hill, Nathan R.
Afiliación
  • Moscardó V; Instituto Universitario de Automática e Informática Industrial, Universitat Politècnica de València, València, Spain.
  • Giménez M; Diabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Universitari, IDIBAPS, Barcelona, Spain.
  • Oliver N; Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, United Kingdom.
  • Hill NR; Harris Manchester College, Mansfield Road, University of Oxford, Oxford, United Kingdom.
Diabetes Technol Ther ; 22(10): 701-708, 2020 10.
Article en En | MEDLINE | ID: mdl-32195607
Background: Glycemic variability is an important factor to consider in diabetes management. It can be assessed with multiple glycemic variability metrics and quality of control indices based on continuous glucose monitoring (CGM) recordings. For this, a robust repeatable calculation is important. A widely used tool for automated assessment is the EasyGV software. The aim of this work is to implement new methods of glycemic variability assessment in EasyGV and to validate implementation of each glucose metric in EasyGV against a reference implementation of the calculations. Methods: Validation data used came from the JDRF CGM study. Validation of the implementation of metrics that are available in EasyGV software v9 was carried out and the following new methods were added and validated: personal glycemic state, index of glycemic control, times in ranges, and glycemic variability percentage. Reference values considered gold standard calculations were derived from MATLAB implementation of each metric. Results: The Pearson correlation coefficient was above 0.98 for all metrics, except for mean amplitude of glycemic excursion (r = 0.87) as EasyGV implements a fuzzy logic approach to assessment of variability. Bland-Altman plots demonstrated validation of the new software. Conclusions: The new freely available EasyGV software v10 (www.phc.ox.ac.uk/research/technology-outputs/easygv) is a validated robust tool for analyzing different glycemic variabilities and control metrics.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Automonitorización de la Glucosa Sanguínea / Diabetes Mellitus / Control Glucémico Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Diabetes Technol Ther Asunto de la revista: ENDOCRINOLOGIA / TERAPEUTICA Año: 2020 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Automonitorización de la Glucosa Sanguínea / Diabetes Mellitus / Control Glucémico Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Diabetes Technol Ther Asunto de la revista: ENDOCRINOLOGIA / TERAPEUTICA Año: 2020 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos