Evidence Hub

Sodium-Glucose Cotransporter 2 (SGLT2) Inhibitors in Heart Failure With Preserved Ejection Fraction: A Systematic Review

Amir Saeed, Bilal Younas, Ali Rohan, Usman Haider, Asad Mukhtar, Marriam Nazir, Maryam

Cureus, 2025

1 citation

Abstract

Heart failure with preserved ejection fraction (HFpEF) is a complex syndrome characterized by impaired ventricular filling and increased heart failure hospitalizations. Sodium-glucose cotransporter 2 (SGLT2) inhibitors have demonstrated cardiovascular and renal benefits in various heart failure populations, but their effects on HFpEF remain an area of growing interest. This study aims to evaluate the impact of SGLT2 inhibitors on key clinical outcomes in patients with HFpEF, including cardiovascular death, hospitalization for heart failure, exercise capacity, symptoms (as measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ)), kidney disease progression, and other renal outcomes. A systematic review of randomized controlled trials (RCTs) assessing the effects of SGLT2 inhibitors (empagliflozin, dapagliflozin, sotagliflozin, canagliflozin, and ertugliflozin) in HFpEF patients was conducted. This systematic review was conducted per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) principles. The literature was searched using open-access, full-text English papers from January 2015 to April 2025 across PubMed, Embase, and the Cochrane Library. A total of 108 articles were retrieved through the initial search. After screening and checking for eligibility according to the pre-specified inclusion criteria, the methodological quality was assessed in 17 included studies using the Mixed Methods Appraisal Tool (MMAT) score. The MMAT Score 4…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free