Cited by 126Diabetes Management and ResearchDiabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Rate of hypoglycemia in insulin-treated patients with type 2 diabetes can be predicted from glycemic variability data

Qu, Yongming, Jacober, Scott J., Zhang, Qianyi, Wolka, Linda L., DeVries, J. Hans·2012·Diabetes Technology & Therapeutics

Abstract

BACKGROUND: We set out to study the relationship between different measures of glycemic variability and the rate of hypoglycemia in patients with type 2 diabetes. SUBJECTS AND METHODS: Data were pooled from three 24-week insulin trials including patients on twice-daily (BID) insulin lispro mix 75/25 (75% insulin lispro protamine suspension, 25% insulin lispro) (n=805), daily (QD) insulin glargine (n=1,019), insulin lispro protamine suspension (n=353) (QD or BID), and insulin detemir (n=166) (QD or BID), all with continuation of prestudy oral antihyperglycemic medications. Glycemic variability measures were derived from seven-point self-monitored blood glucose profiles. RESULTS: At baseline, mean (±SD) age was 56.9±9.7 years, duration of type 2 diabetes was 9.5±6.1 years, hemoglobin A1c (HbA1c) was 8.9±1.1%, and 51.9% were male. Intra-day glucose coefficient of variation (CV), fasting blood glucose, intra-day minimum glucose and inter-day glucose CV at 24 weeks, and intra-day glucose CV at baseline were significantly correlated with the rate of hypoglycemia events between Weeks 12 to 24 (P<0.05 for all measures). CONCLUSIONS: Intra-day and inter-day glycemic variability is significantly associated with the risk of hypoglycemia in insulin-treated patients with type 2 diabetes, even after adjusting for mean glucose and HbA1c. The intra-day glycemic variability before starting insulin is significantly associated with the risk of hypoglycemia during insulin treatment, which points at treatment- and patient-related factors mediating this relationship.

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Crossref · 10.1089/dia.2012.0099

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Authors
Qu, Y., Jacober, S. J., Zhang, Q., Wolka, L. L., & DeVries, J. H.
Affiliations
  • Eli Lilly (United States) (US)
  • University of Amsterdam (NL)
Corresponding author
DeVries, J. Hans
Venue
Diabetes Technology & Therapeutics
Published
2012-11
Volume
14
Issue
11
Pages
1008-1012
ISSN
  • 1520-9156 (ISSN-L)
  • 1557-8593
OpenAlex
W2059534220
Cited by
126
References
15
Citations by year
2026: 2 · 2025: 3 · 2024: 6 · 2023: 8 · 2022: 9 · 2021: 8 · 2020: 15 · 2019: 11 · 2018: 14 · 2017: 14 · 2016: 4 · 2015: 12 · 2014: 9 · 2013: 10 · 2012: 1
FWCI
8.21
Type
journal article
Language
en
Open access
closed
Locations
  • Diabetes Technology & Therapeutics (publishedVersion)
  • PubMed (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • Pure Amsterdam UMC (submittedVersion)
Funders
Eli Lilly and Company
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
hypoglycemia, glycemic variability, type 2 diabetes, insulin therapy, insulin lispro, insulin glargine, insulin detemir, coefficient of variation, self-monitoring of blood glucose, hypoglycemia risk prediction, HbA1c
MeSH terms
Analysis of Variance, Blood Glucose, Diabetes Mellitus, Type 2, Fasting, Female, Glycated Hemoglobin, Humans, Hypoglycemia, Hypoglycemic Agents, Insulin, Male, Middle Aged, Predictive Value of Tests, Risk Assessment

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