Comparative Effectiveness of Individual DPP-4 Inhibitors on Kidney Outcomes in Type 2 Diabetes With Moderate Cardiovascular Risk: A Target Trial Emulation
OBJECTIVE To examine kidney disease outcomes associated with dipeptidyl peptidase 4 inhibitors (DPP-4i). RESEARCH DESIGN AND METHODS In this target trial emulation, claims data from enrollees in commercial, Medicare Advantage, and traditional Medicare health plans were used to identify adults ≥21 years old with type 2 diabetes, with moderate cardiovascular risk, and without stage 3 or worse chronic kidney disease (CKD) initiating alogliptin, linagliptin, saxagliptin, or sitagliptin between 2014 and 2021. The primary outcome was a composite of incident CKD stages 3–5, kidney failure, or kidney replacement therapy. Random treatment assignment was emulated using propensity scores, estimated using the super learner ensemble method and incorporated as inverse probability of treatment weights into proportional hazards models. RESULTS The weighted study cohort included 3,026 individuals starting alogliptin, 38,213 starting linagliptin, 14,934 starting saxagliptin, and 115,091 starting sitagliptin. One year after treatment initiation, the primary outcome occurred in 1.4%, 2.7%, 2.2%, and 2.4% of patients initiating alogliptin, linagliptin, saxagliptin, and sitagliptin, respectively, increasing to 3.2%, 6.2%, 5.0%, and 5.4%, respectively, at 3 years. Alogliptin was associated with lower risk of stage 3 or worse CKD than linagliptin (hazard ratio [HR] 0.50; 95% CI 0.37–0.69), saxagliptin (HR 0.63; 95% CI 0.45–0.86), and sitagliptin (HR 0.58; 95% CI 0.42–0.79), while saxagliptin was associated with lower risk than linagliptin (HR 0.80; 95% CI 0.73–0.87). Conversely, linagliptin was associated with higher risk than sitagliptin (HR 1.15, 95% CI 1.10–1.21). CONCLUSIONS Alogliptin was associated with lower risk of moderate-to-severe kidney disease than other DPP-4i, while linagliptin was associated with higher risk. Limitations include lack of laboratory data and potential unmeasured confounding.
Authors
- Rozalina Grubina McCoy (ORCID: https://orcid.org/0000-0002-2289-3183)
- Eric C. Polley (ORCID: https://orcid.org/0000-0002-5152-8740)
- Víctor M. Montori (ORCID: https://orcid.org/0000-0003-0595-2898)
- Jeph Herrin (ORCID: https://orcid.org/0000-0002-3671-3622)
- Juan P. Brito
- Stacey Sklepinski (ORCID: https://orcid.org/0009-0009-3857-9445)
- Kavya Sindhu Swarna
- Mindy M. Mickelson
- Joshua J. Neumiller
- Rodolfo J. Galindo
- Yihong Deng
- Guillermo E. Umpierrez
- Joseph S. Ross
Institutions
- University of Maryland, Baltimore (US)
- Mayo Clinic (US)
- University of Miami (US)
- Emory University (US)
- Chicago Department of Public Health (US)
- Washington State University Spokane (US)
- Advocate Lutheran General Hospital (US)
- Yale University (US)
- University of Chicago (US)
- Mann-Grandstaff VA Medical Center (US)
- Yale New Haven Health System (US)
- Optum (United States) (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Diabetes Obesity and Cardiometabolic CARE
- Published
- 2026-07-16
- DOI
- https://doi.org/10.2337/doc26-0025
- Primary Topic
- Diabetes Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Patient-Centered Outcomes Research Institute