Introduction: The aim of this study was to elaborate a consensus on treatment intensification strategies in patients with type 2 diabetes failing basal insulin supported oral therapy (BOT). The panel focused on glucagon-like peptide-1 receptor agonists (GLP-1RA) and basal insulin (BI) combinations. Methods: The authors developed a Delphi questionnaire organized into ten statements and 77 items that focused on: the definition of BOT and BOT failure, intensification strategies, fixed-dose combinations in general and the BI/GLP-1RA fixed combination. The survey was administered in two rounds to a panel of 80 Italian diabetes specialists, who rated their level of agreement with each item on a 5-point Likert scale. Consensus was predefined as > 66% of the panel agreeing/disagreeing on any given item. Results: Consensus was achieved for 71 of the 77 items. The panel agreed that the use of sulfonylureas in the BOT regimen is inappropriate. BOT failure was defined as individualized targets not being met for glycated hemoglobin, fasting plasma glucose and/or postprandial plasma glucose. There was agreement that postprandial hyperglycaemia and/or presence of nocturnal hypoglycaemia or weight gain define BOT failure. Addition of a GLP-1RA to BI therapy was considered to be the best option for BOT intensification. There was consensus for the use of BI/GLP-1RA fixed combinations as valuable options to increase compliance and safely improve glycaemic control. The panel agreed in considering the fixed-ratio combination insulin degludec/liraglutide (IDegLira) to be preferable to the fixed-ratio combination insulin glargine/lixisenatide (iGlarLixi) in the control of glycaemia, body weight and cardiovascular risk. Conclusion: According to this Delphi consensus, the addition of a GLP-1RA may be the best option to intensify BOT. The BI/GLP-1RA fixed combinations may increase compliance and optimize the advantages of each of these molecules.

Delphi-Based Consensus on Treatment Intensification in Type 2 Diabetes Subjects Failing Basal Insulin Supported Oral Treatment: Focus on Basal Insulin + GLP-1 Receptor Agonist Combination Therapies

Candido, Riccardo;
2021-01-01

Abstract

Introduction: The aim of this study was to elaborate a consensus on treatment intensification strategies in patients with type 2 diabetes failing basal insulin supported oral therapy (BOT). The panel focused on glucagon-like peptide-1 receptor agonists (GLP-1RA) and basal insulin (BI) combinations. Methods: The authors developed a Delphi questionnaire organized into ten statements and 77 items that focused on: the definition of BOT and BOT failure, intensification strategies, fixed-dose combinations in general and the BI/GLP-1RA fixed combination. The survey was administered in two rounds to a panel of 80 Italian diabetes specialists, who rated their level of agreement with each item on a 5-point Likert scale. Consensus was predefined as > 66% of the panel agreeing/disagreeing on any given item. Results: Consensus was achieved for 71 of the 77 items. The panel agreed that the use of sulfonylureas in the BOT regimen is inappropriate. BOT failure was defined as individualized targets not being met for glycated hemoglobin, fasting plasma glucose and/or postprandial plasma glucose. There was agreement that postprandial hyperglycaemia and/or presence of nocturnal hypoglycaemia or weight gain define BOT failure. Addition of a GLP-1RA to BI therapy was considered to be the best option for BOT intensification. There was consensus for the use of BI/GLP-1RA fixed combinations as valuable options to increase compliance and safely improve glycaemic control. The panel agreed in considering the fixed-ratio combination insulin degludec/liraglutide (IDegLira) to be preferable to the fixed-ratio combination insulin glargine/lixisenatide (iGlarLixi) in the control of glycaemia, body weight and cardiovascular risk. Conclusion: According to this Delphi consensus, the addition of a GLP-1RA may be the best option to intensify BOT. The BI/GLP-1RA fixed combinations may increase compliance and optimize the advantages of each of these molecules.
2021
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https://link.springer.com/article/10.1007/s13300-021-01012-2
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947045/
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3055000
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