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Sodium-Glucose Cotransporter-2 Inhibitors Following Acute Myocardial Infarction in Patients Without Diabetes Mellitus: A Meta-Analysis of Randomized Controlled Trials

Ahmed M, Shuja MH, Shakil S, Ul Haque Ansari H, Shakil F, Abdullah Naveed M, Ur Rehman SA, Shaikh N et al.

Clinical Medicine Insights. Cardiology, 2026

9,135 participants

Abstract

Background: Sodium-glucose transporter 2 (SGLT2) inhibitors have shown significant cardiovascular benefits in heart failure (HF) patients with diabetes mellitus or chronic kidney disease. However, their safety and efficacy in non-diabetic patients without HF presenting with acute myocardial infarction (AMI) remain understudied.

Methods: Databases including MEDLINE, Scopus, Cochrane Library, and ClinicalTrials.gov were queried through August 2025 to identify randomized controlled trials (RCTs). Data were pooled using a random-effects model using risk ratios (RR) and mean differences (MD) with 95% confidence intervals (CI).

Results: Five RCTs involving 9,135 patients (SGLT2i: 4,581 and placebo: 4,554) were included. On pooled analysis, SGLT2 inhibitors were associated with significantly reduced first HF hospitalization (RR: 0.74, p=0.02), improved LVEF (MD: 2.08; p=0.002), and reduced NT-proBNP levels (MD: 12.81; p < 0.0001). No significant differences were noted in all-cause mortality and the composite of first HF hospitalization with all-cause mortality.

Conclusion: In non-diabetic patients without HF, SGLT2 inhibitors significantly reduce the first HF hospitalization and improve LVEF following AMI. The findings of this meta-analysis suggest that future research should evaluate the cardiovascular benefits of SGLT2 inhibitors in this patient population.

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, 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. Reported size: 9,135 participants or records.

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

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