4.7 Article

Cardiovascular outcomes associated with a new once-weekly GLP-1 receptor agonist vs. traditional therapies for type 2 diabetes: a simulation analysis

期刊

DIABETES OBESITY & METABOLISM
卷 13, 期 10, 页码 921-927

出版社

WILEY
DOI: 10.1111/j.1463-1326.2011.01430.x

关键词

diabetes complications; GLP-1; macrovascular disease; type 2 diabetes

资金

  1. Amylin Pharmaceuticals, Inc
  2. Eli LIlly and Company

向作者/读者索取更多资源

Aim: The effect of glucose-lowering agents on diabetes-related complications including cardiovascular ( CV) events is of major importance. In the absence of a long-term study, we simulated such a trial using a mathematical model where subjects were given exenatide once-weekly (EQW), which has been shown to improve glycaemic control and reduce weight, systolic blood pressure (SBP) and lipids in patients with type 2 diabetes mellitus (T2DM). Methods: Using the Archimedes Model, we followed a simulated population derived from individuals with T2DM in NHANES who were drug-naive or on oral agents only. We modelled the effects of four treatment strategies including standard care (SC, maintaining levels of control seen in NHANES), intensive glycaemic control (IGC, target HbA1c < 7% with conventional antidiabetic agents) and two versions of EQW added to SC: one with glycaemic and weight reduction only (EQW-1) and one with additional improvements in SBP and lipids (EQW-2). EQW strategies were derived from 52-week clinical trial data. Endpoints included macrovascular and microvascular outcomes. Results: Simulated EQW treatment resulted in earlier benefit and 2-3 times greater relative reductions in major adverse CV events than IGC when compared to SC (6% relative reduction by year 20 for IGC vs. 12 and 17% for the EQW strategies). For microvascular complications, EQW showed comparable benefit to IGC for neuropathy but significantly greater impact on renal complications. Conclusions: This analysis shows that the novel drug EQW has the potential to greatly reduce CV events through its combined effects on glycaemia, weight and other CV risk factors.

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