ArticleMedical sciences (Basel, Switzerland)2019
Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program.
Article in Medical sciences (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Continuous Glucose Monitoring With Low-Carbohydrate Nutritional Coaching to Improve Type 2 Diabetes Control: Randomized Quality Improvement Program.Journal of medical Internet research · 2022Trial
- The Impact of Glycaemic Variability on Vascular Dysfunction in Diabetes.Biomolecules · 2025Review
- Clinical relevance of short-term glycemic variability in children and adolescents with type 1 diabetes: a narrative review.Translational pediatrics · 2024Review
- Assessing glycemic variability in critically ill patients: A prospective cohort study comparing insulin infusion therapy with insulin sliding scale.Scientific reports · 2024Observational
- Improvement of knowledge following diabetes self-management education with respect to socioeconomic status: A retrospective cohort study among type 2 diabetes in Eastern India.Journal of family medicine and primary care · 2024Article
- Flexible battery-less wireless glucose monitoring system.Scientific reports · 2022Article
- Perspectives of glycemic variability in diabetic neuropathy: a comprehensive review.Communications biology · 2021Review
- Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches.NPJ digital medicine · 2021Article
- Molecular Mechanisms of Glucose Fluctuations on Diabetic Complications.Frontiers in endocrinology · 2019Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundVariations 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.
methodsWe 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).
resultsA 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.
conclusionIndices of glycemic variability are useful complements, and changes in it can be demonstrated within short periods.
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