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Kidney Week

Abstract: SA-PO1159

Impact of SGLT2 Inhibitors and GLP-1 Receptor Agonists on Kidney Failure Risk Prediction

Session Information

Category: CKD (Non-Dialysis)

  • 2302 CKD (Non-Dialysis): Clinical, Outcomes, and Trials

Authors

  • Hartsell, Sydney Elizabeth, Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Wei, Guo, Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Singh, Ravinder, Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Throolin, Michael J, Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Nevers, Mckenna R., Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Sarwal, Amara, Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Derington, Catherine G., University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States
  • Katkam, Niharika, Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Akramimoghadam, Farideh, Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Boucher, Robert E., Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Shen, Jincheng, Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Drakos, Stavros, Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Cheung, Alfred K., Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Greene, Tom, Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
  • Beddhu, Srinivasan, Cardio-Renal and Metabolism Center, University of Utah Health, Salt Lake City, Utah, United States
Background

The Kidney Failure Risk Equation (KFRE) is KDIGO-recommended for risk prediction to guide patient care. Whether the use of SGLT2i or GLP-1RA modify KFRE risk prediction is clinically relevant.

Methods

We performed an active comparator, new user study in a national cohort of veterans with T2D on metformin without ESKD who initiated SGLT2i, non-exendin GLP-1RA or insulin glargine (IG) from 1/1/18-12/31/21 (N=160,428). Inverse probability weighting minimized measured confounding. Age, sex, eGFR and UACR were used to calculate 5-year KFRE and define subgroups <2%, 2-<6%, ≥6%. Follow-up was until 3/31/23 for kidney failure (eGFR <15 over 2 consecutive labs, dialysis dependence or transplant by diagnostic code or USRDS linkage) and death. We examined whether study drug class modified the KFRE’s relationship to three-year cumulative incidence of kidney failure under competing risk framework.

Results

In KFRE ≥6%, kidney failure and death before kidney failure were the highest in IG, followed by GLP-1RA then SGLT2i. In KFRE 2-<6%, kidney failure incidence was highest in SGLT2i new-users, likely due to a large competing risk of death, followed by IG then GLP-1RA (Table). Visually, SGLT2i reduced kidney failure rates especially in KFRE≥6%, while GLP-1RA appeared most protective in KFRE 2-<6% (Figure).

Conclusion

SGLT2i and GLP-1RA reduced expected kidney failure incidence compared to IG users of comparable KFRE score. Kidney failure risk prediction equations need to updated with terms for SGLT2i or GLP-1RA use.

KFRE SubgroupIncidence in SGLT2i new-users (N=48,988)Incidence in GLP-1RA new-users (N=12,379)Incidence in Insulin Glargine new-users (N=28,472)
3-year Incidence of Kidney Failure with Competing Risk of Death
<2%0.55%0.59%0.72%
2 - <6%4.58%1.73%3.51%
≥6%7.93%12.06%15.14%
3-year incidence of All-Cause Death before Kidney Failure
<2%6.85%6.27%10.13%
2 - <6%13.88%16.24%17.36%
≥6%14.38%21.58%20.71%

Funding

  • NIDDK Support

Digital Object Identifier (DOI)