Insulin glargine/lixisenatide fixed-ratio combination improves glycaemic variability and control without increasing hypoglycaemia.
Diabetes Obes Metab · 2019
Last updated 2026-05-28In two clinical trials, a combination of insulin glargine and lixisenatide (iGlarLixi) improved blood sugar control and reduced blood sugar fluctuations—measured by factors like average glucose levels and variability—by week 30. Compared to insulin glargine alone, the combination showed better results in multiple measures of blood sugar control without increasing the risk of low blood sugar episodes.
AI summary of the abstract below.
| Journal | Diabetes Obes Metab, 2019 |
|---|---|
| Citations | 16 |
| Relative citation ratio | 0.89 |
| NIH percentile | 46 |
| Molecules | lixisenatide |
| Conditions studied | Type 2 Diabetes |
Abstract
Maintaining optimal glycaemic control reduces the risk of micro- and macrovascular complications in patients with type 2 diabetes. Typically, glycaemic control is based on glycated haemoglobin (HbA1c) as a measure of mean glucose concentration; however, this marker does not accurately reflect glycaemic variability (GV), which is characterized by the amplitude, frequency and duration of hypo- and hyperglycaemic fluctuations. In the present study, we analysed data from the LixiLan-O trial, which compared iGlarLixi, a titratable fixed-ratio combination of the glucagon-like peptide-1 receptor agonist lixisenatide (Lixi) and long-acting basal insulin glargine 100 units/mL (iGlar), with its individual components, and the LixiLan-L trial, which compared iGlarLixi with iGlar. The GV features that were measured were mean and SD of self-measured plasma glucose (SMPG), high blood glucose index (HBGI) and low blood glucose index, area under the SMPG curve for each patient (AUCn), mean absolute glucose (MAG) and mean amplitude of glycaemic excursions (MAGE). By week 30, iGlarLixi improved all GV markers from baseline, with no increased hypoglycaemia risk. Significant improvements were observed in SMPG, SD of SMPG, HBGI, AUCn, MAG and MAGE compared with iGlar, and in SMPG, HBGI and AUCn, compared with Lixi.
Verbatim abstract via PubMed 30421545 ↗
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