Relationship between glucose variability evaluated by continuous glucose monitoring and clinical factors, including glucagon-stimulated insulin secretion in patients with type 2 diabetes. (December 2019)

• Record Type: Journal Article
• Authors: Ohara, Makoto; Hiromura, Munenori; Nagaike, Hiroe; Kohata, Yo; Fujikawa, Tomoki; Goto, Satoshi; Sato, Nobuko; Kushima, Hideki; Terasaki, Michishige; Yamamoto, Takeshi; Mori, Yusaku; Hayashi, Toshiyuki; Fukui, Tomoyasu; Yamagishi, Sho-ichi; Hirano, Tsutomu
• Is Part Of: Diabetes research and clinical practice. Volume 158(2019)
• Publication Date: 2019-12
• Subjects: Glucose monitoring -- Glucose variability -- Type 2 diabetes mellitus -- Glucagon stimulation test; Diabetes -- Periodicals; Diabetes Mellitus -- Periodicals; 616.462
• DOI: 10.1016/j.diabres.2019.107904
• Languages: English
• ISSNs: 0168-8227

Abstract

Highlights: Examination of factors related to glucose variability by glucagon stimulation test. Insulin secretion is related to glucose variability in insulin-treated T2DM. Glycemic control contributes to glucose variability in T2DM. The use of sulfonylurea was associated with daily glucose variability. The dose of sulfonylurea was correlated with daily glucose variability. Abstract: Aims: To evaluate the clinical factors affecting daily and day-to-day glucose variability by using continuous glucose monitoring. Methods: We performed a cross-sectional analysis of patients with type 2 diabetes mellitus (T2DM) who underwent a glucagon stimulation test (GST) with 72 h of continuous glucose monitoring. Daily glucose variability was evaluated by mean amplitude of glycemic excursions [MAGE], percentage coefficient of variation for glucose (%CV), and day-to-day glucose variability (mean of daily differences [MODD]) by using continuous glucose monitoring. Correlations of clinical factors, including insulin secretion ability by the GST with MAGE, %CV, and MODD, were analyzed. Results: In 83 T2DM with insulin therapy, age and hemoglobin A1c (HbA1c ) correlated with MAGE and %CV, fasting plasma glucose with MAGE and MODD, and increment of C-peptide immunoreactivity (ΔCPR) by GST correlated inversely with MAGE, %CV, and MODD. In 126 T2DM without insulin therapy, age, diastolic blood pressure, and triglycerides correlated with MODD, HbA1c with MAGE and MODD, and ΔCPR inversely correlated with %CV. Use of α-glucosidase inhibitors inversely correlated with %CV, whereas that of sulfonylurea was associated with MAGE and %CV. Conclusions: These results suggest that ΔCPR correlated with stability of glycemic control, whereas poorly controlled diabetes is associated with increase in glucose variability. α-glucosidase inhibitors may be superior to sulfonylureas in reducing the glucose variability in T2DM.