Kidney and Cardiovascular Effectiveness of Empagliflozin Compared With Dipeptidyl Peptidase-4 Inhibitors in Patients With Type 2 Diabetes.
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2024-06
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Placebo-controlled trials of sodium-glucose co-transporter-2 inhibitors demonstrate kidney and cardiovascular benefits for patients with type 2 diabetes and chronic kidney disease (CKD). We used real-world data to compare the kidney and cardiovascular effectiveness of empagliflozin to dipeptidyl peptidase-4 inhibitors (DPP4is), a commonly prescribed antiglycemic medication, in a diverse population with and without CKD. Using electronic health record data from 20 large US health systems, we leveraged propensity overlap weighting to compare the outcomes for empagliflozin and DPP4i initiators with type 2 diabetes between 2016 and 2020. The primary composite kidney outcome included 40% estimated glomerular filtration rate decrease, incident end-stage kidney disease, or all-cause mortality through 2 years or censoring. We also assessed cardiovascular and safety outcomes. Of 62,197 new users, 20,279 initiated empagliflozin and 41,918 initiated DPP4i. Over a median follow-up of 1.1 years, empagliflozin prescription was associated with a lower risk of the primary outcome (hazard ratio [HR] 0.75, 95% confidence interval [CI] 0.65 to 0.87) than DPP4is. The risks for mortality (HR 0.76, 95% CI 0.62 to 0.92) and a cardiovascular composite of stroke, myocardial infarction, or all-cause mortality (HR 0.81, 95% CI 0.70 to 0.95) were also lower for empagliflozin initiators. No difference in heart failure hospitalization risk between groups was observed. Genital mycotic infections were more common in patients prescribed empagliflozin (HR 1.72, 95% CI 1.58 to 1.88). Empagliflozin was associated with a lower risk of the primary outcome in patients with CKD (HR 0.68, 95% CI 0.53 to 0.88) and those without CKD (HR 0.79, 95% CI 0.67 to 0.94). In conclusion, the initiation of empagliflozin was associated with a significantly lower risk of kidney and cardiovascular outcomes than DPP4is over a median of just over 1 year. The association with a lower risk for clinical outcomes was apparent even for patients without known CKD at baseline.
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Edmonston, Daniel, Hillary Mulder, Elizabeth Lydon, Karen Chiswell, Zachary Lampron, Christina Shay, Keith Marsolo, William Schuyler Jones, et al. (2024). Kidney and Cardiovascular Effectiveness of Empagliflozin Compared With Dipeptidyl Peptidase-4 Inhibitors in Patients With Type 2 Diabetes. The American journal of cardiology, 221. pp. 52–63. 10.1016/j.amjcard.2024.04.011 Retrieved from https://hdl.handle.net/10161/31212.
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Scholars@Duke

Daniel Len Edmonston
My primary research focus lies at the intersection of kidney and cardiovascular disease including pulmonary hypertension, heart failure, and atherosclerotic disease in patients with chronic kidney disease.

Keith Allen Marsolo
Dr. Marsolo is a faculty member in the Department of Population Health Sciences (DPHS) and a member of the Duke Clinical Research Institute (DCRI). His current research focuses on infrastructure to support the use of electronic health records (EHRs) and other real-world data sources in observational and comparative effectiveness research and public health surveillance, as well as standards and architectures for multi-center learning health systems. He serves as faculty advisor to the DPHS DataShare Shared Facility and faculty lead for the Pragmatic Health Services Research (PHSR) functional group within the DCRI. Dr. Marsolo received his PhD in Computer Science from The Ohio State University, with a dissertation on data mining, specifically the modeling and classification of biomedical data.
Prior to joining DPHS, Dr. Marsolo was an an Associate Professor in the Division of Biomedical Informatics (BMI) at Cincinnati Children’s Hospital Medical Center (CCHMC). While at CCHMC, Dr. Marsolo served as faculty advisor for BMI Data Services, a shared facility that supported distributed data sharing networks and also developed registry platforms to support learning networks. These included a configurable system for capturing summary or practice-level measures, and a “data-in-once” architecture that allowed information to be collected in the EHR and then be automatically transferred to a registry in order to support chronic care management, quality improvement and research.Area of Expertise: Informatics, Data Quality, Common Data Models, Data Standards and Data Harmonization
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