dc.contributor.advisor | Rinard, Martin | |
dc.contributor.author | Jung, Emma Yejoo | |
dc.date.accessioned | 2025-09-18T14:30:19Z | |
dc.date.available | 2025-09-18T14:30:19Z | |
dc.date.issued | 2025-05 | |
dc.date.submitted | 2025-06-23T14:02:31.559Z | |
dc.identifier.uri | https://hdl.handle.net/1721.1/162746 | |
dc.description.abstract | Recent surges in the use of glucagon-like peptide-1 receptor agonists (GLP-1RA) have shown promise in reducing cardiovascular events and improving kidney function in patients with type 2 diabetes. Due to these hopeful improvements, kidney transplant recipients (KTRs) have started using GLP-1RA. However, their effects in KTRs remain largely unstudied in clinical studies. This thesis uses a large-scale Electronic Health Record (EHR) database to perform a retrospective cohort analysis to study the association between GLP-1RA use and kidney and cardiovascular outcomes amongst stable KTRs. Primary outcomes include all-cause mortality, major adverse kidney events (MAKE), and major adverse cardiac events (MACE). Among stable KTRs, GLP-1RA users show reduced risk for all-cause mortality (adjusted hazard ratio [aHR]: 0.45; 95% confidence interval [CI]: 0.32-0.62) and MAKE (aHR: 0.69; 95% CI: 0.58-0.81), but no significant difference for MACE (aHR: 0.84; 95% CI: 0.67-1.05). In addition, users show increased risk for irritable bowel syndrome (IBS) (aHR: 2.11; 95% CI: 1.07-4.15) and urinary tract infection (UTI) (aHR: 1.53; 95% CI: 1.27-1.85). These results indicate the potential of GLP-1RA to reduce mortality and adverse kidney outcomes and increase IBS and UTI in KTRs. | |
dc.publisher | Massachusetts Institute of Technology | |
dc.rights | In Copyright - Educational Use Permitted | |
dc.rights | Copyright retained by author(s) | |
dc.rights.uri | https://rightsstatements.org/page/InC-EDU/1.0/ | |
dc.title | Association of GLP-1 Receptor Agonist Use with Kidney and Cardiovascular Outcomes in Stable Kidney Transplant Recipients | |
dc.type | Thesis | |
dc.description.degree | M.Eng. | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
mit.thesis.degree | Master | |
thesis.degree.name | Master of Engineering in Electrical Engineering and Computer Science | |