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Tues-123 - Evaluating the impact of Sodium-Glucose Cotransporter 2 Inhibitors on Adverse Events after Transplant

Scientific Poster Session IV - Original Research

Original Research
  Tuesday, November 14, 2023
  08:30 AM–10:00 AM

Abstract

Introduction: Primary graft dysfunction (PGD) is a significant cause of morbidity and mortality after heart transplantation (HT). No data exists for the effect of sodium-glucose cotransporter 2 inhibitors (SGT2i) use prior to HT on PGD.

Research Question or Hypothesis: Does holding SGT2i prior to HT have any impact on the development of PGD?

Study Design: This was a single-center retrospective analysis.

Methods: A total of 423 adult HT recipients from 1/2016 to 8/2022 at Stanford Health Care were included in the analysis. The primary outcome was the difference in rate of PGD between patients who were on SGLT2i and those who were not. Secondary outcomes include the difference in need for post-operative dialysis, intensive care unit (ICU) length of stay (LOS), and total LOS between these two groups. Other known factors for PGD were included for analysis.

Results: Taking SGLT2i until the time of admission for HT was not associated with any effect on the primary or secondary outcomes. However, Spearman correlation analysis showed that HT recipients with PGD were more likely to require dialysis post HT and required longer ICU and total LOS. Male sex was associated with a greater incidence of PGD, but the use of intra-aortic balloon pump (IABP) prior to HT was associated with a lower incidence of PGD. Patients with a durable ventricular assisted device (VAD) was associated with a lower incidence of dialysis requirement post HT. The need for extracorporeal membrane oxygenation (ECMO) prior to HT was associated with greater total LOS, while the requirement of dialysis post HT and the was associated with longer ICU and total LOS.

Conclusion: This study demonstrated that discontinuation of SGLT2i prior to HT had no impact on the subsequent incidence of post HT PGD, dialysis, ICU LOS, or total LOS in a multivariate analysis when controlling for other risk factors.

Presenting Author

Thu Le PharmD
Stanford Health Care

Authors

Kevin Alexander MD
Stanford Health Care

Roy Lee PharmD, BCPS
Stanford Health Care

JiHo Han MD
The University of Chicago

Erik Henricksen PharmD, BCPS
Stanford Health Care

Yasbanoo Moayedi MD
University of Toronto

Ankita Devareddy MD
Stanford Medicine

Jeffrey Teuteberg MD
Stanford Health Care

Uerica Wang PharmD, BCPS
Stanford Health Care

Cory Sejo MD
Stanford Medicine