Management of diabetes mellitus. The new period of self-control: detection of glucose trends and patterns

Nina A. Petunina; Ekaterina V. Goncharova; Anna L. Terekhova

doi:10.14341/DM8254

Management of diabetes mellitus. The new period of self-control: detection of glucose trends and patterns

Nina A. Petunina, Ekaterina V. Goncharova, Anna L. Terekhova

https://doi.org/10.14341/DM8254

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Abstract

Modern representation of self-monitoring blood glucose can be characterised by new technologies introduced in recent years, including tools to identify trends and patterns of glycaemia (PatternAlert ™). These technologies simplify self-monitoring and help avoid errors in the interpretation of blood glucose levels in patients. This study examines the primary trends in the management and control of diabetes, as well as the strengths and weaknesses of the control of glycated haemoglobin (HbA1c). In addition, this study raises broader questions on self-control in patients with diabetes mellitus, which are beyond the issues of the normalisation of blood glucose levels.

Keywords

patterns, trends, blood glucose self monitoring, glycated hemoglobin

About the Authors

Nina A. Petunina

I.M. Sechenov First Moscow State Medical University

Russian Federation

MD, PhD, Professor

Ekaterina V. Goncharova

I.M. Sechenov First Moscow State Medical University

Russian Federation

MD, PhD, assistant lecturer

Anna L. Terekhova

I.M. Sechenov First Moscow State Medical University

Russian Federation

MD, PhD, assistant lecturer

References

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Supplementary files

	1. Fig. 1. An agreed Parks error grid (mmol / L), where X is the comparison method; Y - glucometer [11].
	Subject
	Type	Исследовательские инструменты
	View (183KB)	Indexing metadata ▾

	2. Fig. 2. A. Evaluation time (trends and 30-day average blood glucose value) using a self-monitoring diary in comparison with a glucometer. B. The error rate (trends and 30-day average) using a diary versus a blood glucose meter. The data represent the mean ± standard error of the mean of 64 values [18].
	Subject
	Type	Исследовательские инструменты
	View (72KB)	Indexing metadata ▾

Review

For citations:

Petunina N.A., Goncharova E.V., Terekhova A.L. Management of diabetes mellitus. The new period of self-control: detection of glucose trends and patterns. Diabetes mellitus. 2017;20(6):441-448. (In Russ.) https://doi.org/10.14341/DM8254

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

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	Title	Fig. 1. An agreed Parks error grid (mmol / L), where X is the comparison method; Y - glucometer [11].
	Type	Исследовательские инструменты
	Date	2018-02-17
Digital Object Identifier	https://doi.org/10.14341/DM8254-2443

	Title	Fig. 2. A. Evaluation time (trends and 30-day average blood glucose value) using a self-monitoring diary in comparison with a glucometer. B. The error rate (trends and 30-day average) using a diary versus a blood glucose meter. The data represent the mean ± standard error of the mean of 64 values [18].
	Type	Исследовательские инструменты
	Date	2018-02-17
Digital Object Identifier	https://doi.org/10.14341/DM8254-2444

User

Diabetes mellitus

Management of diabetes mellitus. The new period of self-control: detection of glucose trends and patterns

Full Text:

Abstract

Keywords

About the Authors

References

Supplementary files

Review

For citations:

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