Frequency and Predictors of Self-Reported Hypoglycemia in Insulin-Treated Diabetes
UMass Chan AffiliationsDivision of Diabetes, Department of Medicine
Document TypeJournal Article
type 1 diabetes
type 2 diabetes
Endocrine System Diseases
Endocrinology, Diabetes, and Metabolism
Immune System Diseases
Nutritional and Metabolic Diseases
MetadataShow full item record
AbstractAIMS: Hypoglycemia is a limiting factor for achieving stringent glycemic control in diabetes. This study analyzes the frequency and predictors of hypoglycemia in insulin-treated diabetes in an ambulatory setting. METHODS: A retrospective chart review was performed to study self-monitored blood glucose (SMBG) data for 3 months prior to a patient's HbA1c test. RESULTS: Hypoglycemia occurred more frequently in type 1 than in type 2 diabetes; however, 19% of type 2 diabetes patients did experience at least one episode of severe hypoglycemia. For type 1 diabetes, hypoglycemia had a positive association with glycemic variability and duration of diabetes and a negative association with HbA1c and lowest blood glucose (BG). For type 2 diabetes, a positive association was noted with glycemic variability and a negative association with age and lowest BG. CONCLUSIONS: Delineating factors predisposing to hypoglycemia in type 2 diabetes is difficult. Lower HbA1c is a potential predictor of hypoglycemia in type 1 but not in type 2 diabetes. Longer duration of diabetes for type 1 and younger age for type 2 are associated with more hypoglycemia. Glycemic variability portends increased risk for hypoglycemia and should be a focus of further research.
J Diabetes Res. 2017;2017:7425925. doi: 10.1155/2017/7425925. Epub 2017 Aug 20. Link to article on publisher's site
Permanent Link to this Itemhttp://hdl.handle.net/20.500.14038/40426
RightsCopyright © 2017 Samir Malkani and Anupam Kotwal. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as Copyright © 2017 Samir Malkani and Anupam Kotwal. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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