Literature DB >> 27208320

Glucose Variability in a 26-Week Randomized Comparison of Mealtime Treatment With Rapid-Acting Insulin Versus GLP-1 Agonist in Participants With Type 2 Diabetes at High Cardiovascular Risk.

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Abstract

OBJECTIVE: A1C is associated with diabetes complications but does not reflect glycemic variability (GV), which may worsen outcomes by inducing inflammation, oxidative stress, and cardiac arrhythmias. We tested whether a glucagon-like peptide 1 agonist-based regimen can reduce GV and cardiometabolic risk markers while maintaining similar A1C levels in people with insulin-requiring type 2 diabetes and high cardiovascular risk. RESEARCH DESIGN AND METHODS: After run-in on metformin and basal-bolus insulin (BBI), 102 participants continued metformin and basal insulin and were randomized to exenatide dosing before the two largest meals (glucacon-like peptide-1 receptor agonist and insulin [GLIPULIN group]) or continuation of rapid-acting insulin analogs (BBI group). Indices of GV by continuous glucose monitoring (CGM), hypoglycemia, weight, risk markers, and cardiac arrhythmias were assessed. The primary end point was change in glucose coefficients of variation (CV) by CGM from baseline to 26 weeks.
RESULTS: At randomization, the median A1C was 7.3% (57 mmol/mol) for GLIPULIN and 7.4% (56.3 mmol/mol) for BBI, and glucose CVs were 30.3 for BBI and 31.9 for GLIPULIN. At 26 weeks, A1C levels were similar (7.1% [54 mmol/mol] vs. 7.2% [55 mmol/mol]), whereas mean CV improved with GLIPULIN (-2.4 vs. 0.4, P = 0.047). Other GV indices followed similar nonsignificant patterns of improvement with GLIPULIN. There were no differences in hypoglycemic events during CGM or arrhythmias during electrocardiographic monitoring. On-trial changes in body weight (-4.8 kg vs. +0.7 kg, P < 0.001), alanine aminotransferase (P = 0.0002), and serum amyloid A (P = 0.023) favored GLIPULIN.
CONCLUSIONS: GLIPULIN reduced GV, weight, and some cardiometabolic risk markers while maintaining equivalent A1C levels versus BBI and might improve clinical outcomes in a larger trial.
© 2016 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

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Year:  2016        PMID: 27208320     DOI: 10.2337/dc15-2782

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  31 in total

Review 1.  Glycemic Variability: How to Measure and Its Clinical Implication for Type 2 Diabetes.

Authors:  Guillermo E Umpierrez; Boris P Kovatchev
Journal:  Am J Med Sci       Date:  2018-10-02       Impact factor: 2.378

Review 2.  Glycemic Variability: Risk Factors, Assessment, and Control.

Authors:  Boris Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2019-01-29

3.  The Changing Landscape of Glycemic Targets: Focus on Continuous Glucose Monitoring.

Authors:  Pamela R Kushner; Davida F Kruger
Journal:  Clin Diabetes       Date:  2020-10

Review 4.  Continuous Glucose Monitoring: A Review of Recent Studies Demonstrating Improved Glycemic Outcomes.

Authors:  David Rodbard
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

Review 5.  Continuous Glucose Monitoring with Multiple Daily Insulin Treatment: Outcome Studies.

Authors:  Janet B McGill; Andrew Ahmann
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

Review 6.  Clinical Use of Continuous Glucose Monitoring in Adults with Type 2 Diabetes.

Authors:  Anders L Carlson; Deborah M Mullen; Richard M Bergenstal
Journal:  Diabetes Technol Ther       Date:  2017-05       Impact factor: 6.118

Review 7.  A review of glucagon-like peptide-1 receptor agonists and their effects on lowering postprandial plasma glucose and cardiovascular outcomes in the treatment of type 2 diabetes mellitus.

Authors:  David R Owens; Louis Monnier; Markolf Hanefeld
Journal:  Diabetes Obes Metab       Date:  2017-07-11       Impact factor: 6.577

Review 8.  Minimizing Glycemic Fluctuations in Patients with Type 2 Diabetes: Approaches and Importance.

Authors:  Paresh Dandona
Journal:  Diabetes Technol Ther       Date:  2017-08-03       Impact factor: 6.118

9.  Exenatide Add-on to Continuous Subcutaneous Insulin Infusion Therapy Reduces Bolus Insulin Doses in Patients with Type 2 Diabetes: A Randomized, Controlled, Open-Label Trial.

Authors:  Feng-Fei Li; Lanlan Jiang; Liyuan Fu; Hong-Hong Zhu; Peihua Zhou; Danfeng Zhang; Xiao-Fei Su; Jin-Dan Wu; Lei Ye; Jian-Hua Ma
Journal:  Diabetes Ther       Date:  2016-12-19       Impact factor: 2.945

10.  Initiating Titratable Fixed-Ratio Combinations of Basal Insulin Analogs and Glucagon-Like Peptide-1 Receptor Agonists: What You Need to Know.

Authors:  Neil Skolnik; Debbie Hinnen; Yan Kiriakov; Melissa L Magwire; John R White
Journal:  Clin Diabetes       Date:  2018-04
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