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Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program

Background: Variations in blood glucose levels over a given time interval is termed as glycemic variability (GV). Higher GV is associated with higher diabetes-related complications. The current study was done with the aim of detecting the sensitivity of various GV indices among individuals with type...

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Autores principales: Joshi, Ankur, Mitra, Arun, Anjum, Nikhat, Shrivastava, Neelesh, Khadanga, Sagar, Pakhare, Abhijit, Joshi, Rajnish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473237/
https://www.ncbi.nlm.nih.gov/pubmed/30934620
http://dx.doi.org/10.3390/medsci7030052
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author Joshi, Ankur
Mitra, Arun
Anjum, Nikhat
Shrivastava, Neelesh
Khadanga, Sagar
Pakhare, Abhijit
Joshi, Rajnish
author_facet Joshi, Ankur
Mitra, Arun
Anjum, Nikhat
Shrivastava, Neelesh
Khadanga, Sagar
Pakhare, Abhijit
Joshi, Rajnish
author_sort Joshi, Ankur
collection PubMed
description Background: Variations in blood glucose levels over a given time interval is termed as glycemic variability (GV). Higher GV is associated with higher diabetes-related complications. The current study was done with the aim of detecting the sensitivity of various GV indices among individuals with type 2 diabetes mellitus of different glycemic control status. Methods: We performed a longitudinal study among individuals with type 2 diabetes mellitus (T2DM) who were participating in a two-week diabetes self-management education (DSME) program. Participants were categorized by their HbA1c as poor (≥8%), acceptable (7%–8%), and optimal control (<7%). Continuous glucose monitoring (CGM) sensors recorded interstitial glucose every 15 min from day 1. The evaluated GV measures include standard deviation (SD), coefficient of variation (CV), mean amplitude of glycemic excursion (MAGE), continuous overlapping net glycemic action (CONGA), mean of daily difference for inter-day variation (MODD), high blood glucose index (HBGI), and low blood glucose index (LBGI). Results: A total of 41 study participants with 46347 CGM values were available for analysis. Of 41 participants, 20 (48.7%) were in the poor, 10 (24.3%) in the acceptable, and 11 (26.8%) in the optimal control group. The GV indices (SD; CV; MODD; MAGE; CONGA; HBGI) of poorly controlled (77.43; 38.02; 45.82; 216.63; 14.10; 16.62) were higher than acceptable (50.02; 39.32; 30.79; 138.01; 8.87; 5.56) and optimal (34.15; 29.46; 24.56; 126.15; 8.67; 3.13) control group. Glycemic variability was reduced in the poorly and acceptably controlled groups by the end of the 2-week period. There was a rise in LBGI in the optimally controlled group, indicating pitfalls of tight glycemic control. Conclusion: Indices of glycemic variability are useful complements, and changes in it can be demonstrated within short periods.
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spelling pubmed-64732372019-04-29 Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program Joshi, Ankur Mitra, Arun Anjum, Nikhat Shrivastava, Neelesh Khadanga, Sagar Pakhare, Abhijit Joshi, Rajnish Med Sci (Basel) Article Background: Variations in blood glucose levels over a given time interval is termed as glycemic variability (GV). Higher GV is associated with higher diabetes-related complications. The current study was done with the aim of detecting the sensitivity of various GV indices among individuals with type 2 diabetes mellitus of different glycemic control status. Methods: We performed a longitudinal study among individuals with type 2 diabetes mellitus (T2DM) who were participating in a two-week diabetes self-management education (DSME) program. Participants were categorized by their HbA1c as poor (≥8%), acceptable (7%–8%), and optimal control (<7%). Continuous glucose monitoring (CGM) sensors recorded interstitial glucose every 15 min from day 1. The evaluated GV measures include standard deviation (SD), coefficient of variation (CV), mean amplitude of glycemic excursion (MAGE), continuous overlapping net glycemic action (CONGA), mean of daily difference for inter-day variation (MODD), high blood glucose index (HBGI), and low blood glucose index (LBGI). Results: A total of 41 study participants with 46347 CGM values were available for analysis. Of 41 participants, 20 (48.7%) were in the poor, 10 (24.3%) in the acceptable, and 11 (26.8%) in the optimal control group. The GV indices (SD; CV; MODD; MAGE; CONGA; HBGI) of poorly controlled (77.43; 38.02; 45.82; 216.63; 14.10; 16.62) were higher than acceptable (50.02; 39.32; 30.79; 138.01; 8.87; 5.56) and optimal (34.15; 29.46; 24.56; 126.15; 8.67; 3.13) control group. Glycemic variability was reduced in the poorly and acceptably controlled groups by the end of the 2-week period. There was a rise in LBGI in the optimally controlled group, indicating pitfalls of tight glycemic control. Conclusion: Indices of glycemic variability are useful complements, and changes in it can be demonstrated within short periods. MDPI 2019-03-25 /pmc/articles/PMC6473237/ /pubmed/30934620 http://dx.doi.org/10.3390/medsci7030052 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Joshi, Ankur
Mitra, Arun
Anjum, Nikhat
Shrivastava, Neelesh
Khadanga, Sagar
Pakhare, Abhijit
Joshi, Rajnish
Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program
title Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program
title_full Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program
title_fullStr Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program
title_full_unstemmed Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program
title_short Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program
title_sort patterns of glycemic variability during a diabetes self-management educational program
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473237/
https://www.ncbi.nlm.nih.gov/pubmed/30934620
http://dx.doi.org/10.3390/medsci7030052
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