Cited by 74Diabetes Management and ResearchDiabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Clinical factors associated with absolute and relative measures of glycemic variability determined by continuous glucose monitoring: an analysis of 480 subjects

Jin, Sang-Man, Kim, Tae-Hun, Bae, Ji Cheol, Hur, Kyu Yeon, Lee, Myung-Shik, Lee, Moon-Kyu, Kim, Jae Hyeon·2014·Diabetes Research and Clinical Practice

Abstract

Aim Factors associated with absolute and relative measures of glycemic variability have not been determined by continuous glucose monitoring (CGM) and concurrent measurement of fasting C-peptide levels.Methods We analyzed CGM data for subjects with type 1 diabetes (T1D; n=81) and type 2 diabetes (T2D; insulin-treated, n=168; not insulin-treated, n=231) who underwent CGM between October 2009 and September 2011 at Samsung Medical Center. Correlations between clinical factors and both standard deviation (SD) and coefficient of variance (CV) in CGM were analyzed by multiple regression.Results Regardless of the type of diabetes and insulin therapy, higher CV, but not SD, was significantly associated with a minimum glucose level of <70 mg/dL (3.9 mmol/l) in CGM (p<0.001). In T1D, fasting C-peptide levels inversely correlated with SD while BMI inversely correlated with CV, and duration of diabetes, and HDL levels positively correlated with CV. Use of pre-mixed insulin increased both SD and CV. In insulin-treated T2D, fasting C-peptide levels inversely correlated with both SD and CV while HbA1c correlated with SD, and duration of diabetes positively correlated with CV. In T2D without insulin therapy, age, BMI, HbA1c, HDL, triglyceride levels and use of sulfonylurea positively correlated with SD while HDL levels and use of sulfonylurea positively correlated with CV, and LDL levels inversely correlated with CV.Conclusions Relative glycemic variability (CV) was determined by factors different from those that affect absolute glycemic variability (SD). Some of these factors were indicators of higher insulin sensitivity and residual insulin secretion.

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Crossref · 10.1016/j.diabres.2014.02.003

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  • Glycemic variability is associated with increased risk of hypoglycemia in patients with diabetes, independently of glycated hemoglobin level.

    “Recent clinical data indicate that GV is associated with increased risk of hypoglycemia, microvascular and macrovascular complications, and mortality in patients with diabetes, independently of glycated hemoglobin level.”

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Authors
Jin, S.-M., Kim, T.-H., Bae, J. C., Hur, K. Y., Lee, M.-S., Lee, M.-K., & Kim, J. H.
Affiliations
Samsung Medical Center (KR)
Corresponding author
Kim, Jae Hyeon
Venue
Diabetes Research and Clinical Practice
Publisher
Elsevier BV
Published
2014-05
Volume
104
Issue
2
Pages
266-272
ISSN
0168-8227 (ISSN-L)
OpenAlex
W2028738667
Cited by
74
References
25
Citations by year
2026: 2 · 2025: 6 · 2024: 9 · 2023: 8 · 2022: 3 · 2021: 13 · 2020: 4 · 2019: 5 · 2018: 6 · 2017: 7 · 2015: 8 · 2014: 3
FWCI
4.83
Type
journal article
Language
en
Open access
closed
Locations
  • Diabetes Research and Clinical Practice (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
glycemic variability, continuous glucose monitoring, coefficient of variation, standard deviation, type 1 diabetes, type 2 diabetes, fasting C-peptide, insulin sensitivity, residual insulin secretion, insulin therapy, premixed insulin, sulfonylureas, HbA1c, body mass index, HDL cholesterol, triglycerides, LDL cholesterol, diabetes duration, hypoglycemia
MeSH terms
Adult, Blood Glucose, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Female, Follow-Up Studies, Glycated Hemoglobin, Humans, Hypoglycemic Agents, Insulin, Male, Middle Aged, Prognosis, Retrospective Studies, ROC Curve, Blood Glucose Self-Monitoring

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