Continuous Glucose Monitoring Data Analysis in Insulin-Treated Type 1 and Type 2 Diabetic Subjects with the Use of Original Software

Natalia E. Myakina, Igor A. Lots, Vadim V. Klimontov

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

The aim: to compare glucose variability (GV) parameters derived from continuous glucose monitoring (CGM) in daytime and nocturnal hours in insulin-treated subjects with type 1 and type 2 diabetes.Materials and Methods: The CGM data from 130 type 1 diabetic and 117 type 2 diabetic patients were analyzed. The original software Sakharok was applied for time in range analysis. The GV parameters: Mean Amplitude of Glucose Excursions (MAGE), Lability Index (LI), Low Blood Glucose Index (LBGI), High Blood Glucose Index (HBGI), Continuous Overlapping Net Glycemic Action (CONGA), and Mean Absolute Glucose (MAG) were calculated with EasyGV software.Results: Patients with type 1 diabetes, as compared to those with type 2 diabetes, had higher mean 24-hour GV parameters: MAGE (p=0.000002), LI (p<0.00001), LBGI (p<0.00001), HBGI (p=0.008) and MAG (p=0.0002). Nocturnal MAGE, LI, MAG, HBGI, CONGA and time in hyperglycemic range were also higher in patients with type 1 diabetes (all p<0.02). Nocturnal LBGI and the prevalence of hypoglycemia were similar in both groups. In day-time hours type 1 diabetic subjects, as compare to those with type 2 diabetes, demonstrate lower CONGA (p=0.04) and higher prevalence of hypoglycemic episodes (p=0.000004).Conclusion: Insulin-treated patients with type 1 diabetes, as compared to type 2 diabetic subjects, have greater 24- hour CGM-derived GV parameters with more pronounced glucose fluctuations in the hyperglycemic range at night and more prevalent episodes of hypoglycemia in the daytime.

Язык оригиналаанглийский
Название основной публикации11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы24-27
Число страниц4
ISBN (электронное издание)9781538668504
DOI
СостояниеОпубликовано - 26 ноя 2018
Событие11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Novosibirsk, Российская Федерация
Продолжительность: 20 авг 201825 авг 2018

Конференция

Конференция11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018
СтранаРоссийская Федерация
ГородNovosibirsk
Период20.08.201825.08.2018

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    Myakina, N. E., Lots, I. A., & Klimontov, V. V. (2018). Continuous Glucose Monitoring Data Analysis in Insulin-Treated Type 1 and Type 2 Diabetic Subjects with the Use of Original Software. В 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings (стр. 24-27). [8544878] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSGB.2018.8544878