Outcomes Associated With SGLT2 Inhibitor Use Following Acute Myocardial Infarction Without Heart Failure: A Propensity-Matched Study

This retrospective propensity-matched cohort study assessed the association between sodium-glucose co-transporter-2 inhibitor (SGLT2i) use and cardiovascular outcomes in patients with acute myocardial infarction (AMI) without a history of heart failure. Using the TriNetX U.S. Collaborative Network, we identified 1440 matched patients (720 SGLT2i+ vs 720 SGLT2i-) with preserved ejection fraction and no prior heart failure. Nearly 90% of patients had diabetes. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of MI, stroke, heart failure, and all-cause mortality. At 1 year, MACE occurred in 17.4% of SGLT2i+ versus 22.0% of SGLT2i- patients (odds ratio [OR] 0.746, 95% CI 0.574-0.969; <i>P</i> = .028), and all-cause mortality occurred in 3.1% versus 7.6%, respectively (OR 0.389, 95% CI 0.234-0.645; <i>P</i> < .001). SGLT2i use was also associated with lower risks of major bleeding. Findings were consistent over long-term follow-up. While the observed associations suggest potential cardioprotective effects of SGLT2i post-MI in patients without heart failure, residual confounding cannot be excluded. The observed reduction in bleeding events is novel and warrants further investigation in prospective studies.

Authors

Institutions

Publication Details

Journal
Angiology
Published
2025-08-25
DOI
https://doi.org/10.1177/00033197251365016
Citations
1
Primary Topic
Diabetes Treatment and Management
Type
article
Field-Weighted Citation Impact
1.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Outcomes Associated With SGLT2 Inhibitor Use Following Acute Myocardial Infarction Without Heart Failure: A Propensity-Matched Study

Tess Calcagno, Tyler Canova, Deborah Kwon, W.H. Wilson Tang et al.
1 citations
Angiology
Diabetes Treatment and Management
1.29
article

Outcomes Associated With SGLT2 Inhibitor Use Following Acute Myocardial Infarction Without Heart Failure: A Propensity-Matched Study

Tess Calcagno, Tyler Canova, Deborah Kwon, W.H. Wilson Tang, Venu Menon, David C. Kaelber, Rochell Issa, Brian P. Griffin, Tom Kai Ming Wang, Ryan Issa
article en
1 citations

Abstract

This retrospective propensity-matched cohort study assessed the association between sodium-glucose co-transporter-2 inhibitor (SGLT2i) use and cardiovascular outcomes in patients with acute myocardial infarction (AMI) without a history of heart failure. Using the TriNetX U.S. Collaborative Network, we identified 1440 matched patients (720 SGLT2i+ vs 720 SGLT2i-) with preserved ejection fraction and no prior heart failure. Nearly 90% of patients had diabetes. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of MI, stroke, heart failure, and all-cause mortality. At 1 year, MACE occurred in 17.4% of SGLT2i+ versus 22.0% of SGLT2i- patients (odds ratio [OR] 0.746, 95% CI 0.574-0.969; <i>P</i> = .028), and all-cause mortality occurred in 3.1% versus 7.6%, respectively (OR 0.389, 95% CI 0.234-0.645; <i>P</i> < .001). SGLT2i use was also associated with lower risks of major bleeding. Findings were consistent over long-term follow-up. While the observed associations suggest potential cardioprotective effects of SGLT2i post-MI in patients without heart failure, residual confounding cannot be excluded. The observed reduction in bleeding events is novel and warrants further investigation in prospective studies.

Angiology
MetroHealth (US), Cleveland Clinic (US), Mayo Clinic (US), WinnMed (US), United Heart and Vascular Clinic (US)
Openalex Percentile: Top 16%
Diabetes Treatment and Management
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.