Why the study?
Does the use of GLP-1 RAs and GIP/GLP-1 RAs improve clinical outcomes in patients with heart failure and obesity?
Does the use of GLP-1 RAs and GIP/GLP-1 RAs improve clinical outcomes in patients with heart failure and obesity?
This expert consensus provides a framework for using GLP-1 RAs and GIP/GLP-1 RAs in patients with obesity and HF, highlighting their benefits in HFpEF while noting the lack of hard outcome data and scarcity of evidence in HFrEF.
There is growing clinical interest in strategies for improving clinical outcomes in patients with heart failure (HF) and obesity. The development of glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) and of the dual glucose‐dependent insulinotropic polypeptide (GIP)/GLP‐1 RA has expanded therapeutic options for this population. This expert consensus provides a comprehensive and pragmatic framework for the use of GLP‐1 RAs and GIP/GLP‐1 RA in patients with HF, focusing on clinical integration, patient selection, safety, and tolerability. We review the evidence supporting their use in patients with HF with preserved ejection fraction (HFpEF), where clinical trials have demonstrated meaningful reductions in body weight alongside improvements in health status and exercise capacity. Whether these effects translate into fewer HF events or lower cardiovascular mortality remains uncertain, as current evidence is limited to two small trials with few observed events. In contrast, data regarding the efficacy and safety of these drugs in HF with reduced ejection fraction are scarce, with dedicated outcome trials yet to be launched. Finally, this document highlights knowledge gaps and outlines future research directions in this field.
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Monzo et al. (2025) conducted a review in Heart failure and obesity. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and GIP/GLP-1 RAs was evaluated. GLP-1 RAs and GIP/GLP-1 RAs improve body weight, health status, and exercise capacity in patients with HFpEF and obesity, though their effect on cardiovascular mortality remains uncertain.
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