Literature DB >> 26068865

Design of FLAT-SUGAR: Randomized Trial of Prandial Insulin Versus Prandial GLP-1 Receptor Agonist Together With Basal Insulin and Metformin for High-Risk Type 2 Diabetes.

Jeffrey L Probstfield, Irl Hirsch, Kevin O'Brien, Barry Davis, Richard Bergenstal, Connie Kingry, Dori Khakpour, Sarah Pressel, Kelley R Branch, Matthew Riddle.   

Abstract

OBJECTIVE: Glycemic variability may contribute to adverse medical outcomes of type 2 diabetes, but prior therapies have had limited success in controlling glycemic fluctuations, and the hypothesis has not been adequately tested. RESEARCH DESIGN AND METHODS: People with insulin-requiring type 2 diabetes and high cardiovascular risk were enrolled during a run-in period on basal-bolus insulin (BBI), and 102 were randomized to continued BBI or to basal insulin with a prandial GLP-1 receptor agonist (GLIPULIN) group, each seeking to maintain HbA(1c) levels between 6.7% and 7.3% (50-56 mmol/mol) for 6 months. The primary outcome measure was glycemic variability assessed by continuous glucose monitoring; other measures were HbA(1c), weight, circulating markers of inflammation and cardiovascular risk, albuminuria, and electrocardiographic patterns assessed by Holter monitoring.
RESULTS: At randomization, the mean age of the population was 62 years, median duration of diabetes 15 years, mean BMI 34 kg/m(2), and mean HbA(1c) 7.9% (63 mmol/mol). Thirty-three percent had a prior cardiovascular event, 18% had microalbuminuria, and 3% had macroalbuminuria. At baseline, the continuous glucose monitoring coefficient of variation for glucose levels was similar in both groups.
CONCLUSIONS: FLAT-SUGAR is a proof-of-concept study testing whether, in a population of individuals with type 2 diabetes and high cardiovascular risk, the GLIPULIN regimen can limit glycemic variability more effectively than BBI, reduce levels of cardiovascular risk markers, and favorably alter albuminuria and electrocardiographic patterns. We successfully randomized a population that has sufficient power to answer the primary question, address several secondary ones, and complete the protocol as designed.
© 2015 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:  2015        PMID: 26068865     DOI: 10.2337/dc14-2689

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


  9 in total

Review 1.  Near normal HbA1c with stable glucose homeostasis: the ultimate target/aim of diabetes therapy.

Authors:  L Monnier; C Colette; S Dejager; D R Owens
Journal:  Rev Endocr Metab Disord       Date:  2016-03       Impact factor: 6.514

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

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

Review 3.  Metrics for glycaemic control - from HbA1c to continuous glucose monitoring.

Authors:  Boris P Kovatchev
Journal:  Nat Rev Endocrinol       Date:  2017-03-17       Impact factor: 43.330

4.  Tolerability and Effectiveness of Switching to Dulaglutide in Patients With Type 2 Diabetes Inadequately Controlled With Insulin Therapy.

Authors:  Youngsook Kim; Ji Hye Huh; Minyoung Lee; Eun Seok Kang; Bong-Soo Cha; Byung-Wan Lee
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-17       Impact factor: 6.055

5.  Prevalence of glycemic variability and factors associated with the glycemic arrays among end-stage kidney disease patients on chronic hemodialysis.

Authors:  Abdul Hanif Khan Yusof Khan; Nor Fadhlina Zakaria; Muhammad Adil Zainal Abidin; Nor Azmi Kamaruddin
Journal:  Medicine (Baltimore)       Date:  2021-07-30       Impact factor: 1.817

Review 6.  Glucose variability, HbA1c and microvascular complications.

Authors:  Jan Škrha; Jan Šoupal; Jan Škrha; Martin Prázný
Journal:  Rev Endocr Metab Disord       Date:  2016-03       Impact factor: 6.514

7.  Protocol for a randomised controlled trial of the effect of dapagliflozin, metformin and exercise on glycaemic variability, body composition and cardiovascular risk in prediabetes (the PRE-D Trial).

Authors:  Kristine Færch; Hanan Amadid; Lea Bruhn Nielsen; Mathias Ried-Larsen; Kristian Karstoft; Frederik Persson; Marit Eika Jørgensen
Journal:  BMJ Open       Date:  2017-06-06       Impact factor: 2.692

8.  Glycemic Patterns and Factors Associated with Post-Hemodialysis Hyperglycemia among End-Stage Renal Disease Patients undergoing Maintenance Hemodialysis.

Authors:  Abdul Hanif Khan Yusof Khan; Nor Fadhlina Zakaria; Muhammad Adil Zainal Abidin; Christopher Tiam Seong Lim; Nor Azmi Kamaruddin
Journal:  J ASEAN Fed Endocr Soc       Date:  2020-05-02

Review 9.  Transitioning from basal-bolus or premix insulin therapy to a combination of basal insulin and glucagon-like peptide-1 receptor agonist in people with type 2 diabetes.

Authors:  Roopa Mehta; Liana K Billings; Andreas Liebl; Tina Vilsbøll
Journal:  Diabet Med       Date:  2022-06-26       Impact factor: 4.213

  9 in total

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